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Solutions for the real world

References & Success Stories

Meteorology Aviation Systems

Radiation & Emission MonitoringRoad Weather Information Systems

Warning & Crisis Information SystemsHydrological & Marine Systems

Cave SystemsSeismology

Satisfied customers in more than 50 countries

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MicroStep-MIS, www.microstep-mis.com © 2017, All specifications subject to change without prior notice.

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MicroStep-MIS operates worldwide and it specializes in development and production of monitoring and information systems, data acquisition and processing, research and numerical modeling.

The company’s key field activities cover:

• Meteorology and Climatology• Aviation Systems• Road Weather Information Systems• Marine Systems• Hydrology - Flood Warning Systems• Microclimate Cave Monitoring Systems• Seismology• Radiation Monitoring Systems• Air Quality, Emission Monitoring• Crisis Information Systems• System Integration as well as Turnkey

Projects

Activities of MicroStep-MIS cover the complete process of software and hardware systems development and integration. Our products and comprehensive services fully comply with the technical, as well as quality standards (ISO 9001:2008, ICAO, WMO, EUROCAE), and are supplied under very competitive financial and trade conditions.

More than 20 years of experience in the field of monitoring and

information systems

Broadening the horizons

Albania, Belgium, Bosnia and Herzegovina, Czech Republic, Finland, Germany, Greece, Kosovo, Latvia, Lithuania, Macedonia, Malta, Moldova, Montenegro, Norway, Poland, Romania, Russia, Serbia, Slovak Republic, Slovenia, Sweden, Ukraine, Portugal, Spain

Bahrain, Bhutan, China (Hong Kong, Taiwan), Georgia, India, Indonesia, Iran, Kazakhstan, Kyrgyzstan, Korea, Kuwait, Malaysia, Maldives, Nepal, Oman, Philippines, Qatar, Saudi Arabia, Singapore, Thailand, Turkey, Turkmenistan, United Arab Emirates, Uzbekistan, Vietnam, Yemen

Algeria, Egypt, Kenya, Morocco, South Africa

Brazil, Canada, Columbia, United States of America, Republic of Cuba

Europe

Asia

Africa

America

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Products

IMS, IMS4 – Integrated Meteorological System ATIS, D-ATIS – Automatic Terminal Information Service, Digital Automatic Terminal Information ServiceCLDB – Climatological DatabaseUDCS – Unified Data Collection SystemAWOS – Automated Weather Observation SystemLLWAS – Low Level Windshear Alert SystemRVR – Runway Visual Range System

Abreviations

1 SHMU – Slovak Hydrometeorological Institute, Slovak Republic2 PME (former MEPA) – Presidency of Meteorology & Environment, Saudi Arabia3 LEGMA (former LHMA) – Latvian Environmental and Hydrometeorological Institute, Latvia4 DAS (former DWRS) – Department of Atmospheric Studies, Ministry of Presidential Affairs, Abu Dhabi, U.A.E.5 DGMet (former DGMAN and DGCAM) – Directorate General of Civil Aviation and Meteorology, Sultanate of Oman6 RHMZ – Republic Hydrometeorological Service of Serbia, Serbia7 NCMS – National Center for Meteorology and Seismology, U.A.E.

Table of Contents

References:Meteorology 4Aviation Systems 8Road Weather Information Systems 10Hydrological & Marine Systems 11Warning and Crisis Information Systems 12Seismology 12Radiation and Emission Monitoring, Air Quality 13Cave Systems 13

Success Stories:Early Warning System, Dubai Municipality 14AWOS for 67 airbases, Indian Air Force, India 18Dammam and Riyadh Airports, Saudi Arabia 20TV Weather Studio, CLDB & Web Server, Yemen 21Volcanic Ash Trajectories and their Environmental Impacts, Al Ays Region 22Real-time Met-Ocean Observation System, Zirku Island 24Network of 36 Automatic Weather Stations & CDMS, Kenya 26Meteorological network of more than 1000 AWS, Turkey 28Calibration Laboratory, Oman 29Forecasting System, Malta 30Low Level Windshear Alert System, Indonesia 31PAGASA Unified Meteorological Information System, Philippines 32POVAPSYS Flood Warning System, Slovak Republic 34

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Meteorology

2017 • 50 Portable Pressure systems, Meteorological Department, India (in progress)

2016 • 60 Automatic Weather Stations, Bhutan Traders, Bhutan (in progress)• CLDB Climatological Database, Meteorological Department, Malaysia (in progress)• 200 barometers, Meteorological Department, India• 50 barometers, Germany• 70 Humidity and Temperature Stations, Kazakhstan• 9 Military Mobile Automatic Weather Stations, Poland• 2 Automated Weather Stations, Bosnia and Herzegovina

2015 • All-in-one Automatic Weather Station, Macedonia• UDCS Data Collection System and CLDB Climatological Database, Morocco (in progress)• 10 Automatic Weather Stations with camera, U.A.E.• 3 Ski Automatic Weather Station, Kazakhstan • Equipment for 215 Automatic Weather Station, Turkey• 3 Automatic Weather Stations, PT. Carpediem Mandiri, Indonesia• 4 Automatic Weather Stations (including 1 mobile AWS) and Unified Data Collection System, MENA Aerospace

Enterprises WLL, Bahrain• 1 Automatic Weather Station, GeoModel, Slovakia• Radar MMR-50, Colsys, Czech Republic• 1 AWS designed for intrinsically environment, Sohar refinery, Oman• Extension of AWS network for Mountain Rescue Service, Slovak Republic• CLDB, Kenyan Meteorological Service, Kenya• Systems Integration Consulting for Second National Hydromet Modernization Project “RosHydromet”, Russia• POVAPSYS - IKT: flood forecasting and warning system for SHMU, Slovak Republic• POVAPSYS - AWS: delivery and installation of 78 meteorological stations, 137 rain gauge stations, 8 river profilers, 4

complete geodetic stations and meteorological satellite receivers for SHMU, Slovak Republic• UDCS Data Collection System for Salalah, DGMET, Oman• 10 Automatic Weather Stations, NCMS7, United Arab Emirates• UDCS Data Collection System and CLDB Climatological Database, Malta• 2 Automatic Weather Stations, IMS4 Workstations, Dibba, Jabal Shams, Oman• Calibration Laboratory, DGMet, Oman• 4 Automatic Weather Stations, Bungoma-Country, Kenya • Automatic Weather Station, IMS4 Workstation - Oman Oil Refineries and Petroleum Industries Company, Unique

System FZE, U.A.E. • Central Server Consolidation and Update, Dubai Municipality, U.A.E.• Mini Meteorological Radar, Unique Systems FZE, U.A.E. (in progress)• 9 Automatic Weather Stations, Malta International Airport, Malta

2014 • Update of 18 Automatic Weather Stations, Kazgydromet, Kazakhstan• Automatic Weather Station, FIMA, Lithuania• 20 Automatic Weather Stations with camera, NCMS7, U.A.E.• Fog Prediction System, Morocco• Meteorological Mast, Finland• Sandstorm Prediction and Forecasting Project, Unique Systems FZE, U.A.E.• TV Weather Studio and CLDB, Civil Aviation & Meteorology Authority, Yemen• 27 Automatic Weather Stations, AMETEC Technology, F.Z.E., Kazakhstan• 15 Automatic Weather Stations, NCMS7, U.A.E.• 2 Visibility and Present Weather Stations Phenomen61, Poland• Automatic Weather Station, Arnasai, Kazakhstan• 4 Military Mobile Automatic Weather Stations, Poland • Web Server and CLDB, PAGASA, Philippines • Climate Database System (CLDB), Lithuania Hydrometeorological Service, Lithuania

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2014 • Weather Graphics Production System for live TV Broadcasting, Republic of Cuba• 200 Automatic Weather Stations, Turkey

2013 • Automatic Weather Station, Mira Telecom, Romania• 3 Snow Height Sensors Systems, Aquatic Life Ltd., Canada• 10 Automatic Weather Stations, Kazakhstan • 20 Automatic Weather Stations, NCMS7, U.A.E.• Mini Meteorological Radar MMR-50, Malta International Airport, Malta• 15 Automatic Weather Stations for Agroclimat Automated Weather System, Indonesia• 5 Mobile Automatic Weather Stations, Poland• 35 Automatic Weather Stations, Kingdom of Saudi Arabia• Equipment for 350 Automatic Weather Stations, Global Teknik, Turkey• Calibration Laboratory, DGMAN5, Oman• Complex Training Project of Technical Staff for Maintenance of Meteorological Equipment, DGMAN5, Oman• Climate Database Management System (CDMS) - CLDB, Kenya Meteorological Department, Kenya

2012 • 4 Wind Automatic Weather Stations, Morocco• 2 Agro-meteorological Automatic Weather Stations, Morocco• Automatic Weather Station, Fujairah, Dubai Municipality, U.A.E. • Automatic Weather Station, Oman Royal Gardens & Farms, Oman• 2 Automatic Weather Stations, RHMZ6, Serbia• Automatic Weather Station, IMCO, Oman • 32 Automatic Weather Stations for Agroclimate Automated Weather System, Indonesia• 5 Hydrological Monitoring Stations, Slovak Academy of Sciences, Slovak Republic• 36 Automatic Weather Stations and CLDB, Kenya Meteorological Department, Kenya• 35 Automatic Weather Stations, Kazhydromet, Kazakhstan• Automatic Weather Station and Modeling System, Morocco• 3 Automatic Weather Stations, ETG, Russia• 3 Automatic Weather Stations, Instytut Meteorologii i Gospodarki Wodnej Państwowy Instytut Badawczy, Poland

2011 • 66 Synoptic Stations, 30 Climatic Stations, 10 Wind Measurement Systems, Direction de la Meteorologie National, Morocco• Volcanic Ash Trajectories and its Environmental Impact, Al Ays Region Study, PME2, Kingdom of Saudi Arabia• 36 Automatic Weather Stations, U.A.E.• Equipment for 247 Automatic Weather Stations, Global Teknik, Turkey

2010 • 150 Automatic Weather Stations, ASAS, Saudi Arabia• UDCS Data Collection System and CLDB upgrade, NCMS7, U.A.E. • Automatic Weather Station, Kazakhstan • 15 + 3 Automatic Weather Stations, DGMAN5, Oman• Monitoring System with Small Weather Radar, Medina, Saudi Arabia • 5 Wind Automatic Weather Stations, Vietnam• Automatic Weather Station, Slovenia• 2 Automatic Weather Stations, Kazakhstan• 10 Automatic Weather Station, U.A.E.• 36 Automatic Weather Stations, Oman

2009 • 13 Automatic Meteorological Stations, RHMZ6, Serbia • Central Database System, Malaysian Meteorological Department, Malaysia• 7 Automatic Weather Stations, including Fahud and Marmul, Oman• Automatic Meteorological Station, Krsko, Slovenia • Automatic Meteorological Station, Tatra National Park, Slovak Republic• Automatic Weather Station, lake Beograd, Serbia

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2009 • 5 Automatic Weather Stations, Oman• UDCS Data Collection System, Seeb International Airport, Oman• 4 Meteorological Masts, Ukrainian Atom Instruments and Systems Corporation, Ukraine

2008 • 12 Automatic Meteorological Stations with Radiation Probes, RHMZ6, Serbia• 7 Automatic Weather Stations, Barka Royal Estates, Oman • 3 Automatic Weather Systems, MEIS Environmental Consulting, Slovenia • 3 Automatic Weather Systems, De partment of Atmospheric Studies, U.A.E. • Automatic Meteorological Station, OTC Network, Kazakhstan • Automatic Weather Station for intelligent house, AP Media, Slovak Republic

2007 • Agro-meteorological Automatic Weather Station, Skandinaviska Meteorologi-och Miljöinstrument AB, Sweden• 2 Automatic Weather Stations, Transcon, Czech republic• 20 IMS4 Manned Weather Stations, UDCS and CLDB, Civil Aviation and Meteorology Authority (CAMA), Yemen• Agro-meteorological Automatic Weather Station, Department of Meteorology, Maldives• Agro-meteorological Automatic Weather Station, VSSVVM, Slovak Republic• 5 Automatic Weather Stations, Department of Atmospheric Studies, U.A.E.• Upgrade of Agro-meteorological Automatic Weather Station, Slovak University of Agriculture Nitra, Slovak Republic• 18 IMS4 Automatic Weather Systems, 18 IMS4 Manned Weather Stations, UDCS, Kazakhstan• 22 Hydro Stations, 29 IMS4 Manned Weather Stations, UDCS Unified Data Collection Systems and CLDB

Climatological Databases, RHMZ6, Serbia

2006 • 2 Automatic Weather Stations, Vietnam • Agro-meteorological Automatic Weather Station, Research Institute of Plant Production, Piešťany, Slovak Republic • 2 IMS Meteorological Stations, Riga Freeport, Latvia• 5 Automatic Radiation Monitoring and 2 Automatic Meteorological Stations, UDCS, CLDB, Kyrgyzstan• 5 Automatic Weather Stations, Mountain Rescue, Slovak Republic• 2 IMS4 Mobile Automatic Weather Stations, DGCAM5, Oman

2005 • 2 IMS Automatic Meteorological Stations, LHMA3, Riga, Latvia• 2 IMS Briefing Workstations, Military Air Traffic Control Center, Slovak Republic• 2 Mobile Automatic Weather Stations, Slovak Technical University, Slovak Republic • Delivery of meteorological instruments (wind measurement systems, RVR, cloud base), Ministry of Defence, Slovak

Republic• 4 Agro-meteorological Automatic Weather Stations, Slovak University of Agriculture Nitra, Slovak Republic

2004 • 3 Automatic Weather Stations, Ministry of Communication, U.A.E.• Marine Weather Station, Port of Aden, Yemen• CLDB Aerological Climatological Database, Macedonia• Agro-meteorological Automatic Weather Station, Slovak University of Agriculture Nitra, Slovak Republic• 5 Automatic Weather Stations, Department of Water Resources Studies, U.A.E. • 3 Automatic Weather Stations, Ministry of Communication, U.A.E.• 3 Automatic Weather Stations, IMS4, UDCS Data Collection System, National Meteorological Network,

Bosnia and Herzegovina

2003 • 8 IMS Manned Meteorological Stations, Oman• CLDB Dual Climatological Database, DGCAM5, Muscat, Oman• 10 Automatic Weather Stations, DWRS4, Abu Dhabi, U.A.E.• Wind Measurement System, National Tennis Centre, Slovak Republic• Automatic Weather Station, Ski Resort Pezinská Baba, Slovak Republic• CLDB Climatological Database, Bahrain Meteorological Service, Bahrain

2002 • Dual UDCS Data Collection System, MEPA2, Jeddah, Saudi Arabia • CLDB Climatological Database, Meteorological Forecasting Center, Al Dhafra Air Base, U.A.E.• 38 Automatic Weather Stations, DWRS4, Abu Dhabi, U.A.E.• UDCS Data Collection System, DWRS4, Abu Dhabi, U.A.E.• 7 Automatic Weather Stations, Ministry of Communication, U.A.E. • CLDB Climatological Database, DWRS4, Abu Dhabi, U.A.E. • Data Logger for Calibration Laboratory, SHMU1, Slovak Republic• Data Logger for Geophysical Observatory, Comenius University, Slovak Republic• 5 Climatological Stations, UDCS Central Data Collection System, Egyptian Meteorological Authority, Egypt

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2001 • CLDB Climatological Database, Slovak Nuclear Regulatory Authority, Slovak Republic • 8 IMS Manned Meteorological Stations, LHMA3, Riga, Latvia

2000 • IMS Workstation, Topographic Institute of Army of SR, Banská Bystrica, Slovak Republic • Automatic Weather Station, Jasná, Slovak Rescue Service, Slovak Republic • CLDB Climatological Database, UDCS Data Collection System, Maintenance and Service Workstations, LHMA, Riga,

Latvia• IMS Sea Workstations, Wave, Tide and Sea Temperature Gauges, Mina Sohar, Oman • Early Weather Warning System, Chiyoda-Foster Wheeler & Oman LNG, Oman • UDCS Data Collection System, MEPA2, Jeddah, Saudi Arabia

1999 • CLDB Climatological Database, DGCAM5, Muscat, Oman • IMS for National Network of 14 meteorological stations, LHMA3, Latvia

1998 • IMS Station, Slovak Rescue Service, Slovak Republic • OPUS WWW Meteorological Information System, Lufft Mess und Regeltechnik GmbH, Fellbach, Germany

1997 • IMS Station, Nuclear Power Plant Mochovce, Slovak Republic • IMS Station, ZSE Bratislava, Slovak Republic • IMS Internet/Intranet Meteorological Information Server, Civil Defence, Bratislava, Slovak Republic • Installation of the Network of Automatic Weather Stations, Maintenance Center, DGCAM5, Muscat, Oman

1996 • Synoptic real-time monitoring, SHMU1, Slovak Republic• IMS Station, Civil Defence, Bratislava, Slovak Republic

1995 • IMS Workstation, Infomet, Slovak Republic

Runway Visual RangeKosice Airport, Slovak Republic

Road Weather StationLithuania

Mini Meteorological Radar MMR-50Saudi Arabia

Cave Monitoring SystemSlovak Republic

Automatic Weather StationBratislava, Slovak Republic

Automated Weather Observation SystemLeh Kushok Bakula Rimpochee Airport, India

Automatic Weather StationLadove pleso, Slovak Republic

Manned Weather StationMaschad Airport, Iran

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2017 • IMS4 ATIS/VOLMET, MoldATSA, Republic of Moldova (in progress)• IMS4 ARWIS, Malta International Airport, Malta (in progress)

2016 • IMS4 AWOS Automated Weather Observation System, IMS4 software, Rizhao Airport, China• IMS4 AWOS Automated Weather Observation System, Tho Xuan Airport, Vietnam• IMS4 AWOS Automated Weather Observation System, Dien Bien Airport, Vietnam• IMS4 AWOS Automated Weather Observation System, Con Dao Airport, Vietnam• IMS4 AWOS Automated Weather Observation System, Ca Mau Airport, Vietnam• IMS4 AWOS Automated Weather Observation System, Rach Gia Airport, Vietnam• IMS4 LLWAS Low Level Windshear Alert System Research Project on LIDAR system in cooperation with Zilina

University, Slovakia (in progress)• 8 IMS4 AWD Airport Weather Displays, Košice Airport, Poprad-Tatry Airport, Slovak Republic• IMS4 AWOS Automated Weather Observation System, Renhuai Airport, China (in progress)• IMS4 AWOS Automated Weather Observation System, Lancang Airport, China• IMS4 AWOS Automated Weather Observation System, Krosno Airport, Poland• 13 IMS4 Aviation Weather Stations and Displays, Colombia

2015 • IMS4 AWOS Automated Weather Observation System, Fujairah International Airport, U.A.E.• IMS4 AWOS Automated Weather Observation System, Seletar Airport, Singapore (in progress)• IMS4 AWOS Automated Weather Observation System, Pleiku Airport, Vietnam • 10 IMS4 AWD Airport Weather Displays, Bratislava Airport, Slovak Republic • IMS4 AWOS Automated Weather Observation System, Phu Cat Airport, Vietnam• IMS4 AWOS Automated Weather Observation System, Chu Lai Airport, Vietnam• IMS4 AWOS Automated Weather Observation System, Buon Ma Thuot Airport, Vietnam• IMS4 LLWAS Low Level Windshear Alert System, Soekarno-Hatta International Airport, Indonesia • IMS4 AWOS Automated Weather Observation System, El Tari International / Kupang Airport, Indonesia • IMS4 Briefing and Forecasting Workstation, Airport Malta, Malta• IMS4 Multi-airport AWOS Automated Weather Observation System (11 airports integrated), Lijiang Sanyi Airport,

Yunnan Airport Group, China• IMS4 ARWIS Airport Runway Weather Information System, Otopeni Airport, AIHCB, Bucharest, Romania• IMS4 AWOS Automated Weather Observation System, Tagtabazar, Turkmenistan

2014 • 2 small IMS4 AWOS Automated Weather Observation Systems, IBCOL, Poland• IMS4 AWOS Automated Weather Observation System, Egypt• 2 IMS4 Wind Measurement Systems, Finland• IMS4 VOLMET System, Bucharest FIR, Romania• 2 IMS4 ATIS Systems, Sana’a International Airport, Hodeida International Airport, Yemen • IMS4 AWOS Automated Weather Observation System, Oujda Angads Airport, Morocco • IMS4 AWOS Automated Weather Observation System and LLWAS Low Level Windshear Alert System, 6 airports,

Saudi Arabia• IMS4 RVR Runway Visual Range System, Sana’a Airport, Yemen• Update of 5 IMS4 AWOS Automated Weather Observation Systems, CAMA, Yemen• 8 IMS4 Wind Measurement Systems, SMATSA, Serbia• IMS4 ATIS System, Henri Coandă International Airport, Bucharest Otopeni, Romania• 3 IMS4 AWOS Automated Weather Observation Systems, Department of Civil Aviation, Bhutan

2013 • IMS4 RVR Runway Visual Range System, Yulin Yuyang Airport (UYN, ICAO: ZLYL), China• IMS4 ATIS/VOLMET System, Belgrade Airport, Serbia • IMS4 AWOS Automated Weather Observation System, Ras Al Khaimah International Airport, U.A.E. • 2 Heliports Airport Weather Systems, Juhu and Vaishno Devi (Katra) Airports, India• 2 IMS4 AWOS Automated Weather Observation Systems, Radom Airport, Gdynia Airport, Poland• 2 IMS4 AWOS Lite, Embu Airport, Kakamega Airport, Kenya• 5 IMS4 AWOS Automated Weather Observation Systems, Civil Aeronautics Administration, Airports Cimei, Lyudao,

Lanyu, Taitung, Taiwan

Aviation Systems

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2013 • Runway Wind Measurement AWS, 10 airports, Morocco• IMS4 AWOS Automated Weather Observation System, Mukhaizna Airport, Oman, • 3 IMS4 ATIS Systems, Sibiu, Târgu Mureş, Mihail Kogălniceanu International Airports, Romania• Mini Meteorological Radar, Airport Malta, Malta

2012 • 4 IMS4 Mobile Airport Weather Systems, IBCOL, Poland• IMS4 Airport Weather System, Ras Al Khaimah International Airport, U.A.E. • IMS4 AWOS Airport Weather System, Mazovia-Warsaw Airport Modlin, Poland• IMS4 LLWAS Low Level Windshear Alert System, Medina Airport, PME2, Saudi Arabia• IMS4 AWOS Automated Weather Observation System, Prishtina Airport, Kosovo

2011 • IMS4 ARWIS Airport Runway Weather Information System, Airport Otopeni, Romania • IMS4 AWOS Automated Weather Observation System, Airport Medina, Kingdom of Saudi Arabia • IMS4 AWOS Automated Weather Observation System, Airport Al Ula, Kingdom of Saudi Arabia

2010 • IMS4 AWOS - central parts of Airport Weather System, Vilnius Airport, Palanga, Lithuania• Automatic Weather Station, Airport Salalah, Oman • IMS4 AWOS Automated Weather Observation System, Adam Airport, Oman• IMS4 Wind Measurement System, Košice Airport, Slovak Republic• IMS4 Wind Measurement System, Aden International Airport, Yemen• Airport Weather Observation System, Czech Republic• IMS4 ATIS, Dual High Availability ATIS/D-ATIS System, Airport Baneasa, Romania

2009 • IMS4 AWOS Automated Weather Observation Systems (central servers) & IMS4 RVR Measurement Systems, airports Žilina, Piešťany and Sliač, Slovak Republic

• IMS4 Automatic Weather Observation System, Gorgan Airport, Iran• IMS4 AWOS Automated Weather Observation System Modernization - Dual, Košice Airport, Slovak Republic

2008 • IMS4 AWOS Automated Weather Observation System, Adam Airport, DGCAM5 , Oman • IMS4 AWOS Automated Weather Observation System, Duqum Airport, DGCAM5, Oman• Automatic Weather Station, UDCS Unified Data Collection System, Marmul Airport, DGCAM5, Oman• IMS4 AWOS Automated Weather Observation System, Batajnica Airport, Serbia • 3 IMS4 AWOS Automated Weather Observation Systems, airports Ben Slimane, Bouarfa, Essaouira, Morocco• 15 RVR Measurement Systems, Thessaloniki and airports at islands Samos, Skyros, Keffalinia, Zakynthos,

Mytilini, Space Hellas, Greece• Automatic Weather Station, Salalah Airport, Nus, Oman• Automatic Weather Station, Fahud Airport, DGCAM5, Oman

2007 • IMS4 AWOS Automated Weather Observation System, Birjand Airport, Iran• 67 IMS4 AWOS Automated Weather Observation Systems, Indian Air Force, India

2006 • 2 IMS4 ATIS dual high availability systems, airports Cluj and Timisoara, Romania • IMS4 AWOS Automated Weather Observation System, Skopje Petrovec Airport, Macedonia• IMS4 reconstruction of central part of AWOS Automated Weather Observation System, airports Bratislava, Poprad

and Košice, Slovak Republic• IMS4 Interface, GTS/Letvis, PU HS OSSR, Slovak Republic

2005 • 5 IMS4 AWOS Automated Weather Observation Systems, Yemen• Wind Measurement System, Salalah Airport, Oman

2004 • 2 Automatic Weather Stations, Muscat-Seeb International Airport, Oman• IMS4 AWOS Automated Weather Observation System, Fujairah Airport, U.A.E.• 12 Automatic Weather Stations and IMS4 AWD Aviation Weather Displays for regional airports, PME2, Saudi Arabia• IMS4 AWOS Automated Weather Observation System, Maschad Airport, Iran

2003 • IMS AWOS Automated Weather Observation System, Thumrait airport, Oman

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2003 • IMS AWOS Automated Weather Observation System, Alamein airport, Egypt• IMS AWOS Automated Weather Observation Systems, 6 airports, Serbia

2002 • Network of IMS stations, 22 regional airports, MEPA2 , Saudi Arabia • IMS AWOS Automated Weather Observation System, Khasab Airport, Oman

2001 • IMS AWOS Automated Weather Observation System extension CAT III, King Fahd International Airport Dammam, Saudi Arabia

• IMS AWOS Automated Weather Observation System extension CAT III, King Khaled International Airport Riyadh, Saudi Arabia

• Network of IMS Automatic Weather Stations CAT II, airports Seeb and Salalah, DGCAM5, Oman

2000 • IMS ATIS CAT III, King Fahd International Airport, Dammam, Saudi Arabia • IMS ATIS/VOLMET CAT III, King Khaled International Airport Riyadh, Saudi Arabia

1999 • Y2K Compliance Audit, MEPA2, Saudi Arabia • IMS AWOS Automated Weather Observation System, King Khaled International Airport, Riyadh, Saudi Arabia* • IMS AWOS Automated Weather Observation System, King Fahd International Airport, Dammam, Saudi Arabia*

* The complex airport weather systems for international CAT III airports. GTS and AFTN connectivity, connection to Upper Air system, LLWAS system, satellite distribution network and local radars

• IMS AWOS Automated Weather Observation System CAT II, Salalah Airport, Oman• IMS AWOS Automated Weather Observation System CAT I, Diba Airport, Oman

1998 • IMS AWOS Automated Weather Observation System CAT II, Muscat-Seeb International Airport, Oman

1996 • IMS AWOS Automated Weather Observation Systems, 4 military airports, Slovak Republic• IMS for Air Traffic Control, airports Žilina, Piešťany and Sliač, Slovak Republic• Airport Briefing System, airports Poprad, Košice, Slovak Republic

1994 • Network of IMS meteorological stations (25 stations + 7 airports) for SHMU1, Slovak Republic

Road Weather Information Systems

2017 • IMS4 ARWIS, Malta International Airport, Malta (in progress)

2015 • 3 Road Weather Stations, Department of Transportation, U.A.E (in progress)• ARWIS Otopeni Airport, AIHCB, Romania• 6 Road Automatic Weathers Stations, Betamont, Slovakia

2013 • Ground Frost System, Vilnius Gediminas Technical University, Lithuania• 5 Ground Frost Systems, SIA FIMA, Latvia

2012 • 50 Road Automatic Weather Stations, Lithuanian Road Administration, Lithuania

2010 • Visibility Monitoring and Forecasting for Traffic Safety, Dubai Emirate, U.A.E.

2008 • 4 Automatic Weather Stations connected to IMS Road System, Iran Meteorological Organization, Iran

2007 • 43 Road Automatic Weather Stations, Lithuania

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Hydrological & Marine Systems

2016 • 15 Water Quality Stations, Georgia• 10 Marine Stations, Data Collection and Database System, Kuwait (in progress)

2015 • Warnings for extreme river floods - project of SWICCA (Service for Water Indicators in Climate Adaptation), Slovakia • 10 Water Quality Stations, Georgia • Tide Station, Jubail Port, Kingdom of Saudi Arabia• 15 Rain Stations with camera, NCMS7, U.A.E. • 2 Marine Automatic Weather Stations, India• 3 Marine Automatic Stations, Indonesia • 2 Tide-Met stations for IIC Technologies, India• Water stream profiler for shallow rivers, Slovak Technical University, Slovakia• Integration of Marine stations, Damman and Jubail ports, Kingdom of Saudi Arabia• Meteo-oceanographic system at Arzanah island, ZADCO, U.A.E.• 1 Tide-Met station, New Port, Qatar• Met‐Ocean System, Mubarraz Island, Abu Dhabi Oil Company, U.A.E.• Systems Integration Consulting for Second National Hydromet Modernization Project “RosHydromet”, Russia• POVAPSYS - IKT: flood forecasting and warning system for SHMU, Slovak Republic

2014 • 7 Automatic Stations for Measurement of Water Level and River, AMETEC Technology, F.Z.E., Kazakhstan• Marine Station - Qatar, Unique System FZE, U.A.E.• Automatic Marine Station - KSA, Unique System FZE, U.A.E. • Small Meteorological Radar, GDCE, Tirana, Albania

2013 • Met-Ocean System, Mubarraz Island, U.A.E.• 30 Rain Stations, Republic Hydrometeorological Service of Serbia, Serbia• 30 Rain Stations, NCMS7, U.A.E.• 3 Precipitation Systems, Korea • 21 Hydrological Stations, Kazakhstan

2012 • 5 Hydrological Monitoring Stations, Institute of Hydrology, Slovak Academy of Science, Slovak Republic• Automatic Marine Station, Dubai Municipality, U.A.E.• Water Quality, Kazhydromet, Kazakhstan

2011 • Tide Gauge Network, 12 stations, Saudi Arabia

2010 • 3 Meteo-Oceanographic Monitoring Systems at Zirku Island, U.A.E.

2009 • Marine Buoy Monitoring System and Automatic Weather Station, Raysut, Oman • Buoy Temperature System, Dubai, U.A.E.

2008 • Recording the Current Doppler Profiler, Sohar Harbour, Oman

2006 • IMS Sea Workstation, Sohar Harbour, Oman• Communication modules for marine buoys, Aanderaa, Norway

2005 • Secured Data Collection for Marine Stations, DWRS4, Abu Dhabi, U.A.E.

2004 • Marine Weather Station, Port of Aden, Yemen

2003 • 10 Marine Stations, DWRS4, Abu Dhabi, U.A.E.

2000 • IMS Sea Workstations, Wave, Tide and Sea Temperature Gauges, Mina Sohar, Oman

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Warning and Crisis Information Systems

2012 • Warning and Notification System, Nuclear and Decommissioning Company, Slovak Republic

2008 • Delivery of System for Data Acquisition and Warning System, Civil protection, Serbia

2004 • Integration of Crisis Systems of Civil Defense and Crisis Information System of Slovak Nuclear regulatory Authority, Slovak Republic

2002 • Connection of Nuclear Power Plant Jaslovské Bohunice to Crisis Information System of Slovak Nuclear Regulatory Authority, Slovak Republic

2001 • Central Database of Crisis Information System for Slovak Nuclear Regulatory Authority, Slovak Republic • Connection of Nuclear Power Plant Mochovce to Crisis Information System of Slovak Nuclear Regulatory Authority,

Slovak Republic

1999 • Communication software for mission critical application, VUJE Trnava Inc., Slovak Republic

1998 • System for checking of temperature measurement, 1st nuclear reactor, Nuclear Power Plant Mochovce, Slovak Republic

1997 • System study for error-free communication in extremely crucial WAN applications, VUJE Trnava, Slovak Republic

1995 • Siren Warning and Notification System, Nuclear Power Plant Jaslovské Bohunice, Slovak Republic

Seismology2015 • 2 Wave32 Recorders, Slovak Academy of Sciences, Slovakia

2014 • Seismological Station, SSS Beograd, Serbia• Wave32 Recorder, InstGeosciences, Finland

2013 • Wave32 Recorder, Seismometers, Accelerometer and the Monitoring Software Package, Canada

2010 • 5 Seismic Stations and Data Center, Hydrometeorological service of Republika Srpska, Banja Luka, Bosnia and Herzegovina

• 5 Seismic Stations and Data Center, Federal Hydrometeorological service, Sarajevo, Bosnia and Herzegovina

2009 • Seismic Database, Geophysical Institute of the Slovak Academy of Sciences, Bratislava, Slovak Republic • Delivery of 3 Wave 24 digital recorders, Geological Department, Université de Liege, Belgium

2008 • Seismic Warning System, Seismological Survey of Serbia • Seismic Center, Seismological Survey of Serbia• Portable Seismic Processor, Geophysical Institute of the Slovak Academy of Sciences, Bratislava, Slovak Republic

2007 • 3 Seismic Stations, Progseis, Trnava, Slovak Republic

2006 • System for measurement of Schuman resonances, Comenius University, Slovak Republic• 3 Digitizers with accessories, Aristotle University, Thessaloniki, Greece• Seismic Mini-array, Geophysical Institute of the Slovak Academy of Sciences, Bratislava, Slovak Republic

2005 • 6 Mobile Seismic Stations and Data Center, Comenius University in Bratislava, Slovak Republic• 7 Seismic Recorders Wave 24, Portable Data Logger, Data Center, SGE Uzbek-Hydro-Geology, Uzbekistan• 4 Permanent and 4 Mobile Seismic Stations, Data Center, Seismological Survey of Serbia, Serbia• 5 Permanent and 2 Mobile Seismic Stations, Data Center, Seismological Observatory, Macedonia

2003 • 6 Seismic Stations and Data Center, Geophysical Institute of Slovak Academy of Sciences, Bratislava, Slovak Republic

2002 • 10 Seismic Stations, Progseis, Trnava, Slovak Republic

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Radiation and Emission Monitoring, Air Quality2016 • Arc Detector, Thales, France

• 10 Arc Detectors, Eurpoean Synchrotron Radiation Facility, France• 3 Arc Detectors for ESS, Sweden (in progress)

2015 • 75 Arc Detectors for LHC, Cern, Switzerland• 5 AWS and C2 Software for Radiation Monitoring Network, Changi Naval Base, Singapore• 6 Authomatic Radiation Monitoring Stations and UDCS central Data Collection System, Center for Ecotoxicological

Research, Montenegro• Arc Detector, Eurpoean Synchrotron Radiation Facility, France• 4 Arc Detector sensors and 2 recorders, Ferrite MicroWave Technologies LLC, USA• 50 Arc Detectors, CERN, Switzerland

2013 • 10 Automatic Radiation Monitoring Stations and Radiation Dispersion Model, NCMS7, U.A.E.• 2 Radiation Probes, Slovak Hydrometeorological Institute, Slovak Republic

2010 • 2 special Automatic Weather Stations with extended measurement of dust and solar radiation, Public Authority of Electricity and Water, Oman

2008 • 2 Radiation Probes supplied with Automatic Meteorological Stations, Serbia

2007 • 3 Radiation Stations, UDCS central Data Collection System, Notification System, SHMU1, Slovak Republic• Mobile Radiation Station for crisis management, participation on the EU-project U2010

2006 • 5 Automatic Radiation Monitoring and 2 Meteorological Stations, UDCS Data Collection System, CLDB Climatological Database, Kyrgyzstan

2005 • 13 Radiation Probes, Civil Defense, Slovak Republic• Migration to EURDEP2 format, SHMU1, Slovak Republic

2003 - 2004 • National radiation monitoring network of 13 stations, PME2, Saudi Arabia• Central Radiation Database, PME2, Saudi Arabia• Central Radiation Database, SHMU1, Slovak Republic

2000 - 2002 • National gamma radiation monitoring network of 52 stations, Civil Defense, Slovak Republic

1999 • Emission Monitoring System, Wastpro Nuclear power plant Jaslovské Bohunice, Slovak Republic • Emission Monitoring System, Compressor station, SPP Ivanka pri Nitre, Slovak Republic

1998 • Real-time gamma radiation information system interconnected with EURDEP system of European Union, SHMU1

Slovak Republic • Software for electromagnetic information panels, APEL s.r.o., Czech Republic / Poland

1995 • Gamma radiation monitoring network, SHMU1, Slovak Republic

Cave Systems

2015 • Cave Monitoring System - 3 Automatic Weather Stations, Institutul de Speologie Emil Racovita, Romania• 5 Cave Monitoring Systems, Slovak Republic• Cave Automatic Weather Station, Shanghai Application Sciences Instruments, Co., Ltd., China (in progress)

2013 • 2 Cave Monitoring Systems, Jasovska Cave, Ochtinska Aragonite Cave, Extension of 2 existing Cave Systems, Upgrade of Climatological Database, Data Collection System, 6 Mobile Systems, Slovak Caves Administration, Slovak Republic

2010 • Automatic Weather Station, Postojna Cave, Slovenia

2008 • Cave Monitoring System, Kateřinská Jeskyně, Ekotechnika, Czech Republic

2007 • 5 Cave Monitoring Systems, Demänovská Jaskyňa Slobody, Demänovská Ľadová Jaskyňa, Dobšinská Ľadová Jaskyňa, Domica and Gombasecká Jaskyňa for Slovak Caves Administration, Slovak Republic

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IMS Road Weather Information SystemAfter a serious car accident in March 2008, Dubai Municipality has decided to purchase and install a fog early warning and forecasting system. MicroStep-MIS has been chosen by Dubai Municipality to realize this project. We have managed to build a unique and complex Road Warning System for the Municipality of Dubai. The system was installed in 2009 and it is operating properly till today.

“MicroStep-MIS has decided to use Biral’s SWS100. In spite of the fact that at the time of the tender it was a fairly new product, we had an excellent long-term experience with the HSS series of sensors; therefore, we have expected the SWS100 would be of a similar quality. After the long-term operation we can confirm that our expectations were fulfilled. We haven’t had any problems with the installed visibility sensors,” says Jozef Omelka, Managing Director, MicroStep-MIS.

IMS Road Weather Information System consists of meteorological stations strategically located alongside the

highways. Specialized cutting-edge hardware equipment and software continuously analyzes the weather and visibility and provide inputs for the forecasting models.

The system integrates:• 8 Automatic Road Weather Stations• 5 Existing weather stations • Offshore Buoy

The data-center performs a continuous monitoring & analysis and provides a comprehensive up-to-date online data 24 hours a day.

“The information is used by government departments, initially by Dubai Police and Coastal Guards. It helps them to take appropriate action in case of low visibility and fog. They are able to warn drivers about fog conditions in order to prevent road accidents,” confirmed Mohammad Mashroom, Director of Survey Department of Dubai Municipality for Gulf News.

Early Warning SystemDUBAI MUNICIPALITY

United Arab Emirates

Dubai Municipalityis the municipal body with jurisdiction over city services and the maintenance of facilities in the Emirate of Dubai, United Arab Emirates

Tender: IMS Road Weather Information System

1st extension: Sandstorm Forecasting System

2nd extension: Early Warning System

Client: Dubai Municipality

Contractor: Unique System FZE

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Real-time weather and forecast informationThe actual values of temperature, relative humidity, rainfall, water level, as well as wind speed & direction in different parts of the Municipality are provided every two minutes, ensuring up-to-date data for the traffic safety. Road stations improve timeliness of maintenance actions, increase winter maintenance efficiency, and minimize the traveling public’s exposure to hazardous weather-related roadway conditions.

Modeling and ForecastingThe fog forecasting models provide a local visibility forecast and prediction of fog development in the traffic areas. It further provides an early warning of possible formation of water fog.

The system provides excellent results. In a one year test, the forecasts creation, supported by all components of the system, achieved success in fog forecasting at 95% (the probability of detection score) with only 18% of false alarms.

From the media:• Khaleej Times – Dubai gets own fog monitoring stations

http://www.khaleejtimes.com/displayarticle.asp?xfile=data/theuae/2012/January/theuae_January65.xml&section=theuae&col=

• Gulfnews – New system to prevent fog-related accidentshttp://gulfnews.com/news/gulf/uae/environment/new-system-to-prevent-fog-related-accidents-1.960903

• Ame Info – Dubai Municipality delegation visits Slovakia to study about fog controlhttp://www.ameinfo.com/281444.html

Comparison of predicted sandstorm (on the left) with satellite image (on the right) 02.10.2013 10:00 UTC

Sandstorm ForecastingIn spite of the fact that sandstorms occur naturally, they can represent a great health hazard to human societies living near the desert regions. A sandstorm is a situation occurring when the horizontal visibility is reduced due to the sand and dust in the air below 1000 m.

Our challenge was to predict the dust event which reduces visibility below 3000 m at least 2 hours in advance. Sand and dust in the air during such situations can cause inconvenience to people with respiratory health problems. The problem is the most significant in the Arabian Peninsula, as it experiences frequent sandstorms.

This was the main reason behind Dubai Municipality starting the sandstorm prediction project. It was an extension to the existing Fog Monitoring and Forecasting

System. The system is based on a 3D weather prediction model. It is further integrated with a model for sand source areas that were transported by wind and settled.

Eng. Mohamed Mahmoud Mashroom, the Director of Survey Department of Dubai Municipality commented on this occasion “We are very proud of the results of this project, which is not only useful to our department, but also to the whole nation and for the people living here.”

Sandstorm modeling is part of the web based Dubai Municipality visibility monitoring system, which consists of: • 15 AWS (2 of the stations are sea buoys)• UDCS/CLDB Database• Weather prediction model • Fog prediction model • Sandstorm prediction model

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On the left: Decreased visibility due to the sand and dust in the air at Al Mamzar station on 16.03.2014 On the right: Normal visibility at Al Mamzar station on 17.03.2014

Smartphone applicationNajm Sohail, is the name of the Weather Early-Warning application that visualizes sandstorm forecast in Dubai with an advance of up to two days.

Thanks to this mobile application, people can now anticipate dust/sand storm conditions in Dubai, 48 hours in advance with just a click on their smart phones.

The mobile application aims at helping residents to pre-plan their outdoor activities, inform allergy and asthma sufferers about potential health risks, and also warn motorists about the visibility conditions on the roads.

Tsunami Early Warning SystemTsunami is a series of waves in a water body caused by the displacement of a large volume of water. Earthquakes, volcanic eruptions, landslides, and other disturbances above or below water level all have the potential to generate a tsunami. A 100 year historical database indicates that on average 6 tsunamis occur per year and are able to carry their destructive power across large coastal areas.

The Tsunami Monitoring System consists of• Seismic monitoring stations• Coastal tide & wave monitoring stations• Offshore tsunami monitoring stations• Central station for integrated Tsunami Monitoring &

Early Warning System with central data collection and a database established at the Dubai Municipality

• Development of Tsunami monitoring & tidal model for tides & surface current

Seismic MonitoringStations

Coastal Tide & WaveMonitoring Stations

O�shore TsunamiMonitoring Stations

Central System

ClimatologicalDatabase

CLDB

Tsunami Monitoring & Early Warning System

Alarm Noti�cation Module

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Challenge

• Improve safety by comprehensive fog predictions

• Rapid development, integration & delivery

Our solution

• Unique and highly complex system

• Emerging technology installation

• Monitoring & forecasting solution preventing road accidents

• Alerts on low visibility due to sandstorm in advance

Achievements

• Wide utilization of the system

• High success in predictions

• Fast delivery

• Fully functional system which provides sand-event forecast 48 hours in advance

• Helps to prevent road accidents & take precautions

Tidal ModelingThe model used by the DM is a numerical Model (hydrodynamic model), which is associated with a numerical grid covering a specific spatial domain to predict the motion of the water.

Output includes water surface elevation, position information, and current velocity. The model output file format is in a form known as ‘NetCDF’.

Radar InstallationMini Meteorological Radar MMR is unique portable X-band weather radar, which provides real time insight into a weather situation for a range up to 200 km.

The radar by MicroStep-MIS more than satisfies the needs of Dubai Municipality for rain monitoring. It can be further used for watersheds management, global warming adaptation strategies, flood protection, operative weather forecast, and aviation safety.

Thanks to the MMR, it is possible to measure cyclones and nowcast the local storms that cannot be predicted by the modeling system.

Seismic Modeling

Seismological monitoring system is a package of products for data acquisition, archival, and management of seismic networks.

The system provides a comfortable access to regular tasks in seismic network operation.

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MicroStep-MIS won a tender for the delivery of meteorological system for 67 Indian military airports for the Indian Air Force. The Automated Weather Observation System for Indian Air Force was a challenging project, not only in the number of deliverables, but also for the fact to manage to deliver the results in a very short time as well. All delivered systems have been operating reliably since their installation in 2008.

Reliability and durability of delivered system is essential for ensuring the safety of the Indian population. MicroStep-MIS worked in close cooperation with a local partner “Nelco”, which is a member of the Tata Group, a global enterprise comprising over 100 operating companies in several business fields.

TenderThe tender was held in two rounds. 1) The technical one which included the installation of two demo AWS at Gwalior airbase and Leh Airport. This phase was executed in February and May, 2006. 2) the non-technical round, based on price negotiations, which was also won by MicroStep-MIS; as the company always provides highly competitive pricing to its customers.

System manufacturing and assembly was performed after the signing of the contract in May, 2007. Deliverables were expedited to December 2007 and inspected at Nelco in January 10th, 2008. The inspections were executed by a responsible army expert and MicroStep-MIS was represented by Martin Gazak, Senior Airport Systems Product Manager.

AWOS for 67 airbases, Indian Air ForceINDIA

Leh Kushok Bakula Rimpochee Airport (ICAO: VILH, IATA: IXL), state Jammu and Kashmir (Himalayas) - one of the highest airports in the world at 3,256

m (10,682 ft) above mean sea level.

Inauguration of the first AWS at Air Force Station, Hindon by Air Vice Marshal, Ajit Tyagi VSM, on January 30th, 2008.

Indian Air Force Indian Air Force (IAF; Bhartiya Vāyu Senā), the flying wing of the Indian armed forces, is responsible for the security of Indian airspace.

Map: Locations of 67 airports

Tender: 67 airports

Client: Indian Air Force

Contractor: Nelco Limited

ICAO category: military airbases

„Reliable operation in v3256 m above mean sea level since 2008”

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Challenge

• Systems required to operate reliably in the Himalayas as well as in the tropic climate

• Highly competitive Indian market

• Delivery in a very short time

• Easy deployment - to be performed by local personnel only

Our solution

• Each airport includes 2x AMS 111 Automatic Weather Station with a variety of meteorological sensors

• Highly reliable communication network based on radio modems, collecting data from the runway field sensors, as well as enabling the Control Tower data distribution

• IMS 4 AWOS application software with IMS 4 Observer PC and two backup displays with the autonomous data processing. Screen layout customized as per IAF requirements.

Achievements

• 5 years of reliable operation confirmed by letter AHQ/ 17327/1/121/MET/SO/022/2010 of AK Kulshreshta, Wing Commander, Joint Director Met (Eqpt), Air HQ, New Delhi -110106

• Successful integration of ceilometers in 2009 at 50 airbases

• Delivery of additional 26 wind measurement systems in 2010/2011

Celebratory inauguration of the first successfully installed & operating AWS at Hindon Air Force Station was led by Air Vice Marshal, Ajit Tyagi VSM, on January 30th, 2008. Due to the fact that the service was a crucial issue in critical systems delivery, MicroStep-MIS has provided complex training and educational programs for the client. At a later time, additional ceilometers have been installed on those airports.

Customer experiencePositive feedback from our customers is the most valuable experience for us. In December 2011, after five years of reli-able operation of the system, we have received an official thank you letter.

This assures MicroStep-MIS management and employees that their work is fully recognized as a top-quality.

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The Dammam and Riyadh Automated Weather Observation Systems marked the beginning of the participation of MicroStep-MIS in large-scale global projects.

RiyadhKing Khalid International Airport (ICAO: OERK, IATA: RUH) is located 35 km north of Riyadh, Saudi Arabia and was designed by the architectural company HOK. The airport includes terminals, a mosque, a control tower and two parallel runways, each 4 200 meters long. It has been constructed to meet the increasing international and local air transport requirements for the region of Riyadh.

DammamKing Fahd International Airport (ICAO: OEDF, IATA: DMM) is located 20 km northwest of Dammam, Saudi Arabia.

Dammam and Riyadh Airports SAUDI ARABIA

Saudi Arabia map with Dammam and Riyadh

Airports

Riyadh

Dammam

Presidency of Meteorology and Environment (PME)is responsible for environmental protection, pollution control, and establishing environmental quality standards.

Client: Presidency of Meteorology and Environment, Saudi Arabia

Contractor: Jeraisy Computer & Communication Services

ICAO category: CAT III

The airport is the third major hub for Saudi Arabian Airlines, and used to be a centre of the now defunct Sama Airlines.

During the audit in 1999, several applications of the Automated Weather Observation Systems at the Dammam and Riyadh airports were found unprepared for the Y2K problem (the Millennium bug).

This caused the Presidency of Meteorology and Environment (former Meteorological and Environmental Protection Agency, MEPA) to ask its suppliers to provide solutions to the problem. By the time the Riyadh airport was already in operation, the Dammam airport was only scheduled to be finished towards the end of 1999.

Due to the highly demanding process of Riyadh airport

installing AWOS at the airports, their supplier rejected to upgrade the system mainly due to the insufficient time requirement.

Directorate General of Civil Aviation and Meteorology of Oman (DGMAN) recommended MicroStep-MIS to PME for a complete system changeover. In the past, we have built strong relationship with DGMAN as we have successfullycommissioned the new AWOS at their Muscat-Seeb International airport in 1998.

MicroStep-MIS has accepted the challenge; in spite of the extremely tight schedule MicroStep-MIS has successfully managed to provide the essential AWOS functionality for the ICAO CAT III category airports at Dammam and Riyadh on the December 23rd 1999, allowing the airports to remain in operation for commercial traffic.

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TV Weather Studio, CLDB & Web ServerYEMEN

Tender: TV Weather Studio, CLDB & Web Server

Client: Civil Aviation and Meteorology Authority of Yemen

Contractor: Ask VisualYemen

Civil Aviation and Meteorology Authority of Yemenis responsible for meteorological sector in the Republic of Yemen and the elements involved in monitoring and forecasting extreme weather occurrence

Met TV studio with CLDB and web server was delivered to Civil Aviation & Meteorology Authority of Yemen with focus on weather graphics presentation for the media, specifically the TV and the Internet.

The subject of this offer was a fully-fledged weather graphics displaying and recording system with the latest state of the art equipment suited for high definition productions, as well as the latest release of the weather visualization software.

Product DescriptionCreation of content from meteorological data:

» Ingestion into the visualization software » Play-out of this pre-rendered material while the

presenter is filmed with one camera » Recording of the resulting video » Uploading the media files to a TV channel or a Web

server for viewing by the audience.

The software included in this project visualizes incoming meteorological data automatically or manually by applying given sets of designs and creates output media content. This content is either transferred to a Web server or to a media pool for the recording of weather shows in the studio

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Between April and June 2009 more than 30,000 earthquakes occurred beneath the Harrat Lunayyir lava fields of Saudi Arabia. The magnitude of 5.4 earthquake on May 19th, 2010 damaged buildings in the town of Al Ays and prompted the Saudi Arabian government to order evacuations of 40,000 people from their homes.

All these events forced the Presidency of Meteorology and Environment to prepare the ash dispersion and impact study for Al Ays region. MicroStep-MIS, as a company with vast experience in seismology, meteorology, and modeling was chosen to conduct the study.

The project “Study of Volcanic Ash Trajectories and its Environmental Impact” was aimed to provide ash dispersion and impact study for Al Ays region in different seasons of the year. The study consisted of seven parts:• Ash and Gas Source Characteristics

– Volcanological Expertise, • Climatology of the Studied Region,• Detailed Weather Modeling of the Studied Region,• Volcanic Ash Transport,• Selected Gases Dispersion,• Summary and Recommendations.

Detailed Weather ModelingDetailed weather modeling is necessary to conclude the wind flows of the region, which in turn are necessary for ash trajectories modeling. The weather modeling provides other parameters, such as, temperature, humidity, pressure, surface fluxes, etc., which critically influence ash trajectories, height of capping inversion, and ash deposition to the ground. Data from the period 1990-2009 were used for the creation of wind flows and monthly weather patterns in the region.

Volcanic Ash TransportHaving detailed weather and wind flows data of the region, the Trajectory Dispersion Model IMS Model Suite is put into effect. The model is capable of:• Modeling dispersion on local, regional and continental

scale• Operating with microscale, mesoscale and macroscale

meteorology• Simulating boundary layer turbulence by adding semi-

random component to the large scale wind, using Monte Carlo techniques

• Use of modern profile method or NWP outputs directly to categorize atmospheric stability and to assess the magnitude of random component

• Is suitable for scientific research

Volcanic Ash Trajectories and their Environmental Impacts STUDY FOR THE AL AYS REGION

Tender: Volcanic Ash Trajectories and their Environmental Impacts, Study for the Al Ays Region

Client: Presidency of Meteorology and Environment, Saudi Arabia

Contractor: EOCL

Saudi Arabia: Al Sys region,volcano site

Presidency of Meteorology and Environment (PME)is responsible for environmental protection, pollution control, and establishing environmental quality standards.

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Challenge

• Phenomena that can adversely affect inhabitants, ecosystems, agriculture, traffic

• Interdisciplinary problem - volcanology/meteorology and climatology/chemicals dispersion

• Assessment of areas potentially endangered by VA even before the volcano erupts

Our solution

• Volcanological research

• High performance computing

• Climatic downscaling

• Coupling of meteorological and dispersion models with special focus to ash particles

Achievements

• Genuine research results

• Comprehensive study accepted by regional environmental authority

Within this study, the model was used in close coupling with a meteorological model to simulate the following important phenomena:

• Advection mechanism, creation of wind fields

• Turbulence mechanism, both mechanical and thermal (buoyancy) turbulence

• Capping layers were identified, so that particles/gases are mostly trapped in the boundary layer

• Transport mechanisms of ash particles and gases

• Dry deposition mechanism, using the deposition velocity concept

• Wet deposition mechanism, utilizing the rainfall amount influence to deposition

The study was professionally published in printed copies and interactive DVD. After its successful acceptance, the client was highly satisfied with the quality of the study and requested a new edition in order to distribute the study to more organizations.

Schematics of Study Components

WEATHER DATA (Regional/Local Model)

WEATHER DATA (Global Model) LAND USE DATADIGITAL ELEVATION

DATA SOURCE

CHARACTERISTICS

DISPERSION MODEL

MS EXCEL

IMS WEATHER

STUDIO

Time series Tabulated outputs

Particles tracking

Deposition Charts

Ash Cloud evolution

Ash Concentration

Charts

Study of Volcanic Ash in Al Ays Region

trajectories concentrationsconcentrations at receptors

3D views

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The “Real-time Met-Ocean Observation System at Zirku Island” is aimed to serve current meteorological and oceanographic information.

ZADCOZADCO’s mandate was to develop the Upper Zakum field on behalf of ADNOC and for the benefit of shareholders in the joint venture, namely, Abu Dhabi National Oil Company (ADNOC), ExxonMobil, and Japan Oil Development Company Ltd. (JODCO).

Besides Upper Zakum, the Company operates in Umm Al Dalkh, and Satah fields. Crude oil from Upper Zakum, Umm Al Dalkh and Satah fields is pumped via main oil lines to Zirku Island for further processing, storage and export.

Zirku Island is located 140 km northwest of Abu Dhabi. With its advanced oil and gas installations, Zirku is considered the main industrial base for the processing, storage and export of oil from Upper Zakum, Umm Al-Dalkh and Satah Fields.

The company adopts the latest technologies in developing and operating these oil fields, with health, safety and environment concerns in mind, making it a leading operating company in the oil industry in the U.A.E.

Project ScopeThe project scope involved design, delivery, and installation of Meteo-Oceanographic Systems in Zirku Island offshore at three different locations: Zirku Offshore Repeater Tower (OSR), Zirku Jetty, and Zirku Airport.

The aim was to provide a real-time-data for the weather parameters and sea water profiles to enable Zirku terminals, Jetty and Airport to operate safely and efficiently. The site survey on Zirku island was carried out on 27th and 28th April 2010 and resulted in the requirements of a unique combination of an AWOS and oceanographic measurement.

The versatility of the IMS4 application software allowed to design a customized system targeting all the needs far beyond the standard commercial-off-the-shelf SCADA or AWOS.

The final design of the HMI (human-machine interface - real time displays, web screens, etc.) was a result of the discussions between the technical team and ZADCO engineers held at Zirku island in March 2012.

Real-time Met-Ocean Observation System ZIRKU ISLAND

Tender: Real-time Met-Ocean Observation System at Zirku Island

Client: ZADCO - Zakum Development Company

Contractor: Unique System FZE

United Arab Emirates: location of Zirku Island

ZADCO - Zakum Development CompanyZADCO adopts the latest technologies in developing and operating oil fields, with health, safety and environment concerns in mind, making it a leading operating company in the oil industry in the U.A.E.

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Challenge

• Supply and install a system in harsh marine conditions of Persian Gulf, both on-shore and off-shore locations

• Integration of meteorological and oceanographic observation to one system

• Combination of various communication networks

Our solution

• Automatic weather stations AMS111 collect data from different sensors at three locations situated on-shore and off-shore

• All measured data are dis-played using IMS4 application software at ATC tower, Radio room and Marine Team leader office and also distributed to other client’s computers

• Archive is based on reliable and stable Climatological Database CLDB

Achievements

• In March 2012, we have received confirmation of high level of client´s satisfaction with the system performance

• High possibility of extension of similar systems to other locations (islands, oil rigs) in this area

The maintenance training was attended by a range of various departments. Afterwards, MicroStep-MIS has received positive feedback and high rate of customer’s satisfaction.

All the departments of the Zirku island, to which this data are beneficial, were actively involved and highly satisfied with the performance of the system. In fact, this data is now being used by the nearby islands as a reference.

Representative of ZADCO Mr. Mohamed Riad Ismail confirms: “The users are satisfied with the system and we plan to order similar systems for nearby islands and oil rigs in the near future.”

Field Measurement SystemThe automatic weather stations consist of the data logger, sensors, mast, and accessories depending on each site.

The following types of sensors were used:• Ultrasonic wind speed and direction sensor• Temperature and humidity sensor• Pressure sensor• Rain gauge• Visibility and current weather sensor• Wave and sea level radar sensor• Wave and current sensor ADCP

The existing microwave system was used for communication between OSR and Zirku Island. Most of the buildings onZirku Island have fiber-optic network in addition to the LAN.

Jetty Supervisor O�ce

Marine Team Leader O�ce

Radio Room Display Terminal

Exchange Building

ZADCO Intranet LAN

Air Tra�c Control O�ce

Zirku Airport Zirku O�shore Repeater Tower

PC IMS 4.1 Marine

Display PC

PC IMS 4.1 Observer

PC IMS 4.1 Marine, AWD

ORS Tower

MicrowaveTransceiver

Zirku Hilltop Receiver

MicrowaveTransceiver

QSR AirconditionedShelter

MicrowaveLink Equipment

EthernetSwitch

Fixed LineModem

MSB780

Wind speed and direction Visibility and

present weather

Rain gauge

Datalogger

Barometricpressure

Air temperatureand rel. humidity

Wind speed and direction

Visibility andpresent weather

Datalogger

Wave and sea level

UDCS, CLDB

Wave, tide, current & temperature

Barometricpressure

Air temperatureand rel. humidity

Zirku Jetty

Raingauge

Wave andsea level

AMS 111 Datalogger

AMS 111SIMSD

ETH

TEST

USB

AMS 111SIMSD

ETH

TEST

USB

Rs422

FOCFOC

Rs422

Rs422

Phone cable

Phone cable

Abu Dhabi Headquarters

AMS 111 IISIMSD

ETH

TEST

USB

MSB780AMS 111 IISIMSD

ETH

TEST

USB

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Network of 36 Automatic Weather Stations & CDMS KENYA

Tender: Network of 36 Automatic Weather Stations & CDMS Climatological Database Management System

Client: Kenya Meteorological Service

Contractor: New Edge SolutionsKenya

Kenya Meteorological Serviceprovides meteorological and climatological services to agriculture, forestry, water resources management, civil aviation and the private sector including industry, commerce and public utilities for the better exploitation and utilization of natural resources for national development.

Africa is a continent full of challenges. The emerging markets are bringing opportunities to employ new technologies to catalyze the development of economies, information sharing, and safety.

That is why MicroStep-MIS and its partner New Edge Solutions have been chosen by Kenya Meteorological Department to execute the extension of national network of Automatic Weather Stations.

Product description The Automatic Weather Station network consists of 36 Automatic Weather Stations (AWS) with manual output of the WMO observer data (clouds, visibility, and ceiling).

Each station has a local display showing the actual data and produces the local METAR/SYNOP reports. Stations are subordinated to the existing central system using GSM/GPRS communications module. Thus, the data are further available to the KMD for inclusion with the WMO GTS Synoptic Reports and weather forecasting system via FTP.

The AWS are configured as WMO Synoptic stations. Data collection and processing/reporting are according to the WMO-recommended method.

The 36 stations communicate every hour via GSM/GPRS modem through the VPN network to the KMD Headquarters. The stations data are displayed locally at the Meteorological Office and are also available for transmission into the WMO GTS and the forecasting system.

The AWS transmits the METAR/SYNOP messages back to the IMS4 Observer PC via Ethernet and to the central system via a modem and VPN network.

As the weather stations have to operate under tropical weather conditions, the system is 100 % corrosion-free, robust, and highly rugged.

METAR/SYNOPTIC SoftwareThe IMS4 Observer serves the users, which produce the METAR and SYNOP messages. In addition to the function of the data display, the IMS4 Observer gives the user an option to manually enter the parameters of visibility, ceiling and cloud type. The system is fully automatic and allows the employees to work more effectively than ever before.

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Challenge

• Extension of the national automatic weather stations network

• Installation of the stations in harsh climatological conditions

• Unified data collection and provisioning of a complex climatological database

Our solution

• Automatic Weather Stations with local display PC and production of METAR/ SYNOP reports

• All data are centralized and stored in the UDCS & CLDB central system

Achievements

• Full satisfaction of the end user with the supplied system and its functionality

• Climatological database enhancement and extension of national AWS network (marine, hydrological, agricultural...)

Central Base Station and System SoftwareThe central system consists of MicroStep-MIS UDCS (Unified Data Collection System) and CLDB Climatological Database. It is located at KMD Headquarters and it is automatically receiving data from the AWS network. The manual entries are gathered as well. The data are stored using the industry standard Oracle server.

DescriptionProviding of 36 new Automatic Weather Stations and a central data collection system with climatological database. The power is supplied to the stations from solar panels.

2 AWOS LITE systemsEmbu ICAO Locator: HKEM

Kakamega ICAO Locator: HKKG, IATA Code:GGM

Sensors » Wind sensor » Air temperature and relative humidity » Rain gauge » Air pressure sensor » Solar radiation sensor » Net radiation sensor

Extension: Delivery of CDMSIn 2014 MicroStep-MIS has successfully participated in another tender with KMS. This time the requirements were to deliver, install, integrate the CDMS, and subsequent commissioning of CDMS (Climatological Database Management System). We have also delivered CDMS hardware and trained KMD staff to use the software effectively. We were responsible for configuration of the system and integration with existing KMD systems and relevant local subsystems.

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Meteorological network of more than 1000 AWS TURKEY

Tender: Meteorological network of more than 1000 AWS

Contractor: Global Teknik Elektronik

Global Teknik Elektronikspecializes in providing worldwide comprehensive “Aviation, Defense, Automation and Homeland Security” solutions.

MicroStep-MIS has started cooperation with Global Teknik Elektronik in 2011. Over the past years, we have received several orders for the extension of the initial delivery of 350 AWS meteorological station sets. By the end of 2015, we are due to deliver the last station sets. In total, number of delivered products will be more than 1000 AWS meteorological station sets.

Stations in the meteorological network are connected to a data collection center. Data from stations are collected using cellular mobile data VPN. Software consists of IMS UDCS – the data collection system and IMS CLDB – the database and a visualization system.

Meteorological Station Sets Meteorological station sets are equipped with data logger and automatically transmit measured data to the central system using the GSM connection. Stations use power supply from solar panel and battery backup.

Measured parameters: » wind speed » wind direction » air temperature » relative humidity » atmospheric pressure » global solar radiation » snow height » soil temperature (in 6 depths) » ground temperature » soil moisture (in 3 depths) » present weather » snow water equivalent

Unified collection system UDCS and Climatological database system CLDBUDCS and CLDB system collects data from automatic weather stations. Data are stored and processed in a climatological database. The system has different modules for manual and automatic data control, creating meteorological reports, messages (SYNOP, METAR, BUFFR, etc.) warnings, climatological statistics and sophisticated visualization of current data as well as for network status monitoring.

System provides data presentation through specialized user applications and standard reports application consisting of WMO standard reports and various user-specified reports.

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Calibration LaboratoryOMAN

Tender: Calibration Laboratory for

Relative Humidity and

Barometric Pressure

Client: PACA Public Authority for civil Aviation - DGMet

Oman

PACAhas a mission to regulate all aspects of civil aviation activities in line with international standards ensuring safety, security and environmental protection. DGMet is section of PACA dealing with construction, operation and maintenance of all facilities for Meteorological observation in Oman.

Our cooperation with DGMAN (PACA) lasts almost 20 years. We have participated in number of DGMAN projects, such as building of national network of Automatic Weather Stations, Airport Weather Observation System for Seeb and Salalah International Airports, Small Airport Weather Observation System for military bases Khasab and Thumrait, Climatological Database, Marine Systems in Sohar and Raysut and other projects, at which where we have delivered both equipment, as well as transfer of our know-how.

In the latest period, we have delivered calibration laboratories for hygrometers and barometers, i.e. for sensors which measure relative humidity and air pressure. Their proper operation is supported by sophisticated software IMS4 Caliblab.

Product descriptionIMS4 CalibLab is complex, intuitive and easy to use calibration laboratory software. It brings the possibility to calibrate relative humidity, barometric pressure, temperature and other quantities, using unified and

We have successfully designed and implemented IMS4 Caliblab software. Factory training, on-site installation and training had been performed.

The customer is now able to calibrate and adjust electronic barometers and hygrometers using an automated process thus saving valuable time and cost in performing of these operations.

modular software. Thanks to automation, it supports multiple calibration chambers and devices. IMS4 Caliblab is capable of automatic adjustment of the sensors.

During implementation of automated calibration laboratory, it was crucial to ensure, that this project had user friendly interface and ability of automatic adjustment of sensors from MicroStep-MIS, as well as from other manufacturers. Our task was also to train the staff to understand the system and to become competent in its proper operation.

ImplementationMicroStep-MIS have designed a complete system beginning with hardware and ending with our new IMS4 Caliblab software. We had selected and implemented dynamic pressure calibrator with built-in reference barometer for calibration of pressure. For the calibration of relative humidity, dynamic relative humidity calibrator with built-in chilled mirror reference had been selected and also implemented within complete system.

Oman

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Malta

Forecasting SystemMALTA

Project: Forecasting System:

Radar installation

IMS4 Briefing

IMS4 Weather Studio

Client: Malta International Airport

Malta International Airportis the only airport serving the Maltese Islands, connecting them to more than 80 destinations in Europe, North Africa and the Middle East. The airport handled 4.2 million passengers in 2014 and it’s terminal is spread across 74,000 square meters.

The Malta Airport Met Office is the National Meteorological Office providing aviation and non-aviation related services to various entities and organizations.

MicroStep-MIS have started cooperation with Malta International Airport in 2012. The first project that we have delivered was the installation of a Radar MMR.

In this project, we have used the previous radar shield, and replaced the non-functioning radar, with the latest technology. Mini Meteorological Radar MMR is unique portable X-band weather radar, which provides real time insight into the weather situation up to 200 km range. The radar by MicroStep-MIS answers the needs of MIA for weather monitoring. Additionally, real time data is also updated on daily basis on the website of MIA www.maltairport.com

MIA had been satisfied with the Radar MMR and we have received another order, this time to work on delivery of software solutions. In 2014, we have installed IMS4 Briefing

that supplies meteorological information to aviation users, in order to ensure the safety and regularity of air navigation.

Afterwards, we have started to develop the new IMS4 Weather Studio designated for forecasters. It is a tool for processing, analyzing, and graphic presentation of meteorological, radiation and climatological data. During the customization phase we have paid a special attention to the needs of forecasters and tailored the solution according to their preferences.

In 2015, we have delivered 9 AWS stations that measure precipitation, solar radiation, air and soil temperature, relative humidity, atmospheric pressure, wind speed, and direction. This extension is still in progress. So far, 6 AWS stations have been installed and we have trained the staff to install the remaining 3 stations.

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Low Level Windshear Alert SystemINDONESIA

Tender: Low Level Windshear Alert System

Client: Badan Meteorologi Klimatologi dan Geofisika Indonesia

Contractor: Carpediem Mandiri

ICAO category: CAT III

BADAN METEOROLOGI KLIMATOLOGI DAN GEOFISIKABMKG is an Indonesian non-departmental government agency for meteorology, climatology and geophysics.

Our solution

• Adaptation of the asumed system layout to the results of the POD analysis.

• Expansion of the anemometer array from 8 to 12 sensors.

• Increasing of the assumed sensor pole heights to avoid sheltering of the sensors by obstacles.

Challenge

• To optimize the siting of the anemomenters in the built-up area of the airport and surroudning.

Achievements

• Timely delivery and commissioning of the system:

September 2015 – site survey

January 2016 – installation, comissioning and site acceptance

Being one of the 20 world’s busiest airport by passenger traffic1, the Soekarno-Hatta International Airport has chosen the industry proven UCAR Phase-III LLWAS technology to increase the flight safety while maintaining the airport capacity. MicroStep-MIS in partnership with Carpediem Mandiri have won the international tender.

Consequently MicroStep-MIS has performed the comprehensive site survey and LLWAS POD analysis in order to optimize the sensor siting, coverage, POD2 as well as to optimize the sensor pole heights in order to minimize the sensor sheltering by the obstacles. The LLWAS system has been installed, commissioned and successfully site-accepted in January 2016.

________________________________________________1 54,053,905 passengers in year 2015, 18th rank in the list of the world’s busiest airports by passenger traffic2 POD – Probability of Detection

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PAGASA Unified Meteorological Information SystemPHILIPPINES

Tender: Unified Meteorological Information System

Client: PAGASA Science Garden Complex

PAGASAThe Philippines Atmospheric, Geophysical and Astronomical Services Administration, PAGASA, is the National Meteorological and Hydrological Services (NMHS) agency of the Republic of the Philippines.

Observation data of PAGASA are very rich and are coming from various observation networks. These includes: observation network of synoptic stations, observation network of agromet stations, observation network of climatic stations, PAGASA Automatic Weather Station observation network, DOST ASTI Automatic Weather Stations observation network, Flood Forecasting and Warning observation network, Upper air stations, Doppler radars, meteorological satellites, wind profiler station, marine buoys and tropical cyclone tracks.

Before the observed data are presented to the end user, they are processed by a wide variety of decoding modules and afterwards by quality control module. Quality control module includes data validity (elements limits), internal consistency (elements relationships), temporal consistency (rate of change) as well as spatial consistency.

The CLDB provides storage of the observed data together with its meta-data information structures. The meta-data are very important part of climate data. The CLDB allows storing various meta-data inside the database according to WMO requirements and recommendations including textual and numerical information, accompanied by copies of datasheets, photos of station, sensors and environment, calibration certificates etc.

ModulesThe CLDB offers wide variety of output modules used for presentation of stored data by end users. These include Statistical summaries module, which offer daily, monthly,

annual summaries, as well as WMO ETCCDI Extreme Indices, Standardized Precipitation and Heat index and many others.

Manual Data Entry module is highly configurable and integrates the functionality of data tracking, data entering and data repair. Data Entry offers a comprehensive tabular view of station data. More than 60 data entries were created in PUMIS.

Map Analysis module is flexible computer graphics system designed for professional use. It provides map visualization of climatological information, and helps users to create more comprehensive view and anomalies detection by comparing historical and currently received data.

22 Map profiles were created in PUMIS to provide all necessary map visualizations of data for end users.

As the PUMIS is based on modular architecture it was possible to build special nonstandard decoding modules to process all PAGASA observations as well as to design special output modules. Tropical Cyclones application is one of them. Specialized meteorologists connect tropical cyclone tracks together with forecast data and present them on fully

Meta data modules

Statistical summaries modules

Philippines

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interactive map. All the history of tropical cyclones from year 1948 is archived in CLDB.

Another tailored module is Manual Data Entry for Extreme/Severe Weather Data. This module enables to process and archive information about extreme/severe weather beyond the traditional data and metadata in form of video, audio, photos, documents, etc. Capturing of such information is carried out through print media, and comments are sent

Our solution

• Climatological database system storing all observed data in one unified structure

• Import of valuable historical observations since 1900 to the unified structure

Achievements

• Integration of all PAGASA’s current observing facilities into one centralized database

• Elimination of data inconsistencies and discrepancies

• Single, standard and comfortable data acces, display and visualization for all users

Challenge

• Implementation of unified meteorological information system which would integrate PAGASA´s current observing facilities into one centralized database to have a single point of access and archives of all meteorological data

Map analysis module

Tropical cyclone module

Warning management module

about the event or television or radio broadcast.

Warning management module, also designed for PUMIS, serves for management of warnings in regions of Philippines based on forecasts. Particular warnings are displayed as static maps, showing the affected regions using predefined color scheme. Affected areas are selected by privileged user manual based on the forecast. All entered warnings are archived in PUMIS.

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POVAPSYS - Flood Warning SystemSLOVAK REPUBLIC

Tender: Flood Warning System

Client: Slovak Hydrometeorological Institute

Contractor: Lynx, information systems

SLOVAK HYDROMETEOROLOGICAL INSTITUTEThe Slovak Hydrometeorological Institute (SHMI) is a specialized organization providing hydrological and meteorological services at the national and international level.

Slovak RepublicRegular occurrence of the floods and increased rate of flash floods triggered long-term effort of the Slovak Republic focused on the flood mitigation.

The flood mitigation program consists of several components - civil engineering, monitoring and research, warning systems. The project POVAPSYS focuses mainly on infrastructure monitoring and research of facilities.

Automatic meteorological stationsThe network of 78 meteorological stations and 137 rain gauge stations was delivered within the scope of the project. The central system based on the UDCS/CLDB technology acquires the data from the installed stations in the near-real-time mode. The data are shared with further systems crucial for the flood warning system.

Hydrological portal HYPOSHydrological portal is a modular system for the processing and presentation of hydrological and meteorological data built on the MicroStep-MIS IMS4 Application software platform. The portal integrates data types necessary for the flood warning and forecasting – meteorological and hydrological data, images, results of modeling and station metadata. The portal contains module for visualization of the data – measured as well as modeled, alerting module, and quality control module. The important part of the system is the module for the visualization of the geospatial data.

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Environmental databaseThe environmental database is the main engine providing the data for the flood warning system. The database integrates data and performs regular data quality checks. The database integrates these data types:• Hydrological data from water level stations• Measured hydrological data• Hydrological forecasts• Metadata of the meteorological stations• Measured meteorological data• Data from the meteorological satellites and radars• Data from the meteorological models• Geographic data• Configurations

Hydrological modelingThe complex network of models is used for the water level and discharge forecast. The variety of models is ranging from simple empirical formulas to rainfall-runoff models with ensemble data sets. The advanced system for models configuration and management is part of the hydrological portal HYPOS. The data visualization and processing is also fully integrated into hydrological portal. Special part of the system is flash flood warning system based on the flash flood guidance method.

Challenge

• Integration of many data types

• Complex modeling with ensemble data inputs

• Advanced mapping with complex layers

• Short delivery period

Our solution

• Operational database integrating SQL data and metadata as well as non SQL data

• Hydrological models integrated into IMS Model Suite framework / HYPOS portal: HBV rainfall-runoff model, HEC-HMS rainfall-runoff model and HEC-RAS 1D flow model

• Map server with OGC web services

Achievements

• Setup, calibration and validation of hydrological models for territory of Slovakia (49.036 km2) and less detailed models for Danube / Morava / Bodrog basins out of Slovakia (131.000 km2)

• Model performance validated not only using validation datasets, but in real operation during floods on rivers Ipeľ and Slaná in February 2016

• Fully automated operation of the models

Various outputs from hydrological models

© MicroStep-MIS | Cavojskeho 1, 84104 Bratislava 4, Slovak Republicwww.microstep-mis.com

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