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1 Data Science Symposium, 26th October 2015, Delft, [email protected] ABSTRACT The “Big Data” topic is one of the most heard buzz words within today's IT and Data community. This presentation reflects on some aspects of the big data hype and addresses some key issues as they are perceived by the data providers and the users. An important aspect in this discussion is the notion that users often need data in order to get answers to their questions – which is not a new issue as such however, in the big data era the generation of such answers is due to the exponential growth of the base data representing a significant challenge. The question is on how this could be supported and to what extend by the Data providers and others. An overview is presented on how EUMETSAT considers those aspects within the context of its existing operational data services but also their big data related evolutions. In this context the different models of data delivery (push – pull & nrt – online/offline) are discussed and the bridge a data provider might build in order to make steps towards the user for easier access to the actual information the user requires.

DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

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Page 1: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

1 Data Science Symposium, 26th October 2015, Delft, [email protected]

ABSTRACT

The “Big Data” topic is one of the most heard buzz words within today's IT and Data community. This presentation reflects on some aspects of the big data hype and addresses some key issues as they are perceived by the data providers and the users. An important aspect in this discussion is the notion that users often need data in order to get answers to their questions – which is not a new issue as such however, in the big data era the generation of such answers is due to the exponential growth of the base data representing a significant challenge. The question is on how this could be supported and to what extend by the Data providers and others. An overview is presented on how EUMETSAT considers those aspects within the context of its existing operational data services but also their big data related evolutions. In this context the different models of data delivery (push – pull & nrt – online/offline) are discussed and the bridge a data provider might build in order to make steps towards the user for easier access to the actual information the user requires.

Page 2: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

Data Science Symposium, 26th October 2015, Delft, [email protected] 2

MONITORING WEATHER

AND CLIMATE FROM SPACE

Reflections on the big data thematic Data Science Symposium 26.10.2015 - Delft

Lothar Wolf Competence Area Manager for Data Services

[email protected]

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3 Data Science Symposium, 26th October 2015, Delft, [email protected]

EUMETSAT OVERVIEW

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4 Data Science Symposium, 26th October 2015, Delft, [email protected]

HUNGARY

Member States

BULGARIA

ICELAND

SERBIA AUSTRIA BELGIUM

DENMARK FINLAND

FRANCE GERMANY GREECE

IRELAND ITALY

UNITED KINGDOM TURKEY

SWEDEN SPAIN

PORTUGAL

NORWAY THE NETHERLANDS LUXEMBOURG

CROATIA

POLAND

LATVIA

SLOVENIA

ROMANIA

CZECH REPUBLIC

LITHUANIA

ESTONIA

SLOVAK

REPUBLIC

SWITZERLAND

EUMETSAT is an intergovernmental organisation with

30 Member States and 1 Cooperating State

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EUMETSAT headquarters

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6 Data Science Symposium, 26th October 2015, Delft, [email protected]

EUMETSAT Mission

To establish, maintain and exploit

European operational meteorological

satellite systems, while considering the

recommendations of WMO as much

as possible

A further objective is to contribute to

operational climate monitoring and

detection of global climatic changes

By fulfilling these objectives, contribute

to environmental monitoring, where

interactions with the ocean and the

atmosphere are involved

Deliver cost-effective

operational

satellite data and products

that satisfy

the meteorological and

climate data requirements of

its Member States

Encourage more users to

benefit from

the increasing range of

EUMETSAT

data and products

Page 7: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

7 Data Science Symposium, 26th October 2015, Delft, [email protected]

Safety of life, property

and infrastructure

Transport Climate policy and

environment protection

….... ......

Areas benefitting from weather forecasting

Energy, agriculture,

tourism

Page 8: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

8 Data Science Symposium, 26th October 2015, Delft, [email protected]

Current EUMETSAT satellites

METOP-B JASON-2

METEOSAT-10 METEOSAT-9

METEOSAT-7

METOP-A (98.7° incl.)

EUMETSAT POLAR SYSTEM

In nominal mid-morning sun synchronous orbit at 817km altitude ,as part of the EUMETSAT Polar System (EPS) .

JASON-2 (66° incl.)

OCEAN SURFACE TOPOGRAPHY

In nominal non-synchronous low Earth orbit at 1,336km altitude, in support of the Ocean Surface Topography Mission.

METEOSAT-7 (57.5° EAST)

INDIAN OCEAN DATA COVERAGE

Operated in support of the Indian Ocean Data Coverage (IODC) mission, bridging an observational gap in this region.

METEOSAT-9 (9.5° EAST)

RAPID SCANNING SERVICE (RSS)

Provides the Rapid Scanning Service (RSS) delivering more frequent images every five minutes over parts of Europe, Africa and the adjacent seas.

METEOSAT-8 (3.5° EAST)

BACKUP SERVICE

Serves as a back-up to both the Meteosat-9 and -10 spacecraft for full disc imagery and rapid scanning.

METOP-A

METEOSAT-8

METOP-B (98.7° incl.)

EUMETSAT POLAR SYSTEM

In orbit at 817 km altitude, the primary operational satellite of the EUMETSAT Polar System (EPS).

METEOSAT-10 (0°)

METEOSAT FULL DISC IMAGERY

Positioned at 0° supporting the prime Meteosat full disc imagery service over the European continent, Africa and parts of the Atlantic and Indian oceans.

Page 9: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

9 Data Science Symposium, 26th October 2015, Delft, [email protected]

EUMETSAT’s geostationary and polar-orbiting

satellite programmes

Geostationary

Primary mission: “Now casting” of rapidly

developing, high-impact weather up to six

hours ahead.

One of the most challenging tasks of the forecasters, vital

for the safety of life, property and infrastructure

Requires informative images of the atmosphere at a high

frequency (some minutes) that can only be achieved from

the geostationary orbit (36,000 km)

Page 10: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

10 Data Science Symposium, 26th October 2015, Delft, [email protected]

EUMETSAT’s geostationary and polar orbiting

satellite programmes

Polar-orbiting

A second system in lower orbit is needed

to complement the data from geostationary

orbit and provide global coverage.

Flying at a much lower altitude (817 km), Metop satellites

deliver a wealth of less frequent but global and quantitative

observations which are the most critical inputs to the

Numerical Weather Prediction models used to forecast

weather up to 10 days and for climate monitoring

Page 11: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

11 Data Science Symposium, 26th October 2015, Delft, [email protected]

MTG – Overall system configuration

Satellite Control Centre

Mission Control Centre

Product Processing Facilities

Data Centre Archive

Data Dissemination via EUMETCast

Direct reception by users

in all countries

EUMETSAT Network of

Satellite Application

Facilities (SAFs)

External data sources

Search and

Rescue Beacons

TELEMETRY, TELECOMMAND

AND CONTROL

GROUND STATION SITES

EUMETSAT CORE GROUND SEGMENT

MTG-1 RAPID SCAN SERVICE

MTG-S MTG-1 FULL SCAN SERVICE

MISSION DATA

ACQUISITION

GROUND STATION SITES

Search and Rescue

Mission Control Centres

Data Collection

Platforms

Page 12: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

12 Data Science Symposium, 26th October 2015, Delft, [email protected]

EUMETSAT mission planning

03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 YEAR...

METEOSAT FIRST GENERATION

METEOSAT SECOND GENERATION

METEOSAT THIRD GENERATION (MTG)

EUMETSAT POLAR SYSTEM (EPS)

METEOSAT-7

METEOSAT-8

METEOSAT-9

METEOSAT-10

MSG-4/METEOSAT-11*

MTG-I-1

MTG-S-1

MTG-I-2

MTG-I-3

MTG-S-2

MTG-I-4

METOP-A

METOP-B

METOP-C

EPS-SECOND GENERATION (EPS-SG)

METOP-SG SOUNDING & IMAGERY SATELLITES

METOP-SG MICROWAVE SATELLITES

JASON

JASON-2

JASON-3

JASON CONTINUITY OF SERVICES (JASON-CS)

Only the full operational phase of each mission is represented, excluding commissioning.

* MSG-4/Meteosat-11 will be stored in orbit, before replacing Meteosat-10

Page 13: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

13 Data Science Symposium, 26th October 2015, Delft, [email protected]

Copernicus is an EC programme

aiming to achieve an autonomous,

multi-level operational Earth

observation capacity

COPERNICUS

Page 14: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

14 Data Science Symposium, 26th October 2015, Delft, [email protected]

Copernicus

• PART OF THE COPERNICUS MANDATE IS TO USE DATA FROM

METEOSAT, METOP AND JASON-2 OPERATIONAL SATELLITE SYSTEMS

ESTABLISHED, MAINTAINED AND OPERATED BY EUMETSAT.

• OPERATION OF COPERNICUS-DEDICATED MISSIONS ON

ATMOSPHERE AND OCEANS FALLING WITHIN EUMETSAT’S MANDATE

I.E. THE SENTINEL-3 MARINE MISSION AND THE JASON-3 AND JASON-

CS MISSIONS OF THE COPERNICUS HIGH-PRECISION OCEAN

ALTIMETRY (HPOA) ACTIVITY.

• PLANNING, DEVELOPMENT AND INTEGRATION INTO FUTURE

EUMETSAT SYSTEMS OF COPERNICUS MISSIONS DEDICATED TO

ATMOSPHERIC CHEMISTRY (SENTINEL-4 AND MTG; SENTINEL-5 AND

EPS-SG), AND THEIR EXPLOITATION IN FULL SYNERGY WITH

EUMETSAT’S OWN MISSIONS

Page 15: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

15 Data Science Symposium, 26th October 2015, Delft, [email protected]

Copernicus

• MAKING OPTIMAL USE OF THE EUMETSAT MULTI-MISSION

INFRASTRUCTURE IN THE COPERNICUS FRAMEWORK, INCLUDING

THE EUMETCAST REAL-TIME DATA DISSEMINATION SYSTEM,

EUMETSAT EARTH OBSERVATION PORTAL AND ITS ARCHIVES.

• DELIVERY TO THE COPERNICUS PROGRAMME OF DATA AND

PRODUCTS AVAILABLE FROM AND AGREED WITH EUMETSAT

PARTNERS IN THE UNITED STATES, CHINA, INDIA AND JAPAN.

Page 16: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

16 Data Science Symposium, 26th October 2015, Delft, [email protected]

METEOSAT JASON-2 INITIAL JOINT POLAR SYSTEM METOP NOAA SATELLITES

CONTROL AND

DATA ACQUISITION

DATA CENTRE EUMETSAT HEADQUARTERS

SATELLITE APPLICATION

FACILITIES WITHIN EUMETSAT MEMBER STATES

THIRD-PARTY

DATA SOURCES

REAL TIME DISSEMINATION OF DATA AND PRODUCTS VIA EUMETCAST

APPLICATIONS GROUND SEGMENT

Central processing and

generation of products

Distributed processing and

generation of products

USERS

FLIGHT

OPERATIONS

EUMETSAT ground segment overview

METEOROLOGICAL PRODUCT

EXTRACTION EUMETSAT HEADQUARTERS

PRE-PROCESSING EUMETSAT HEADQUARTERS

Page 17: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

17 Data Science Symposium, 26th October 2015, Delft, [email protected]

REFLECTIONS ...

Big Data

Hype cycle

Use cases

Push

Pull

Standards

Interoperability

Discovery

Search

Registration

Fees

Cost

Resources

Information

Data

User

Provider

Added value

Question

Result

Infrastructure

Evolution

Access

Subscription

Archive

Replication

DOI

Processing

Data mining

Non discriminative

User algorithms

Data Policies

Public Service

Catalogues

Operations

Research

Delivery

Retrieval

Diversity

Scalability

Reliability

Mission

Bridge

Operational

Amazon/Google

Page 18: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

18 Data Science Symposium, 26th October 2015, Delft, [email protected]

Gartner’s Hype Cycle 2015

Page 19: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

19 Data Science Symposium, 26th October 2015, Delft, [email protected]

Evolution of data rates

Page 20: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

20 Data Science Symposium, 26th October 2015, Delft, [email protected]

EUMETSAT Data Centre growth

Yearly retrieval

YEAR 2012

VO

LU

ME

IN

TE

RA

BY

TE

S

2011 2010 2009 2008 2007 2006 2005 2004 2003

1800

1600

1400

1200

1000

800

600

400

200

0

Yearly ingestion

2013

Page 21: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

21 Data Science Symposium, 26th October 2015, Delft, [email protected]

IS THE SITUATION A “NEW PROBLEM”?

? ... Data ... Algorithm ... Information ... Answer

-Distributed data sources -Heterogeneous data access functions & services -Data delivery as well as data retrievals -Large data volumes -Information generation at the user end

Page 22: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

22 Data Science Symposium, 26th October 2015, Delft, [email protected]

DAR – DISCOVERY ACCESS RETRIEVAL

Is it the main “job” of a user to search for data? Search and Discovery are just the first step ... One-stop shop user experience is key

Exploitation of the individual strengths of each data provider by systematic use of interoperability standards for Meta data, Search & Discovery

Internal Services & Functions

Individual Strengths & Contributions

Interoperable Service Layer (based on standards)

DAR Portals

Data Provider 1

Processing ...

Data delivery ...

Archive ...

Data Provider N

Processing ...

Archive ... Data

delivery ...

Page 23: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

23 Data Science Symposium, 26th October 2015, Delft, [email protected]

BRINGING DATA TO THE USER ...

Push model Data driven To the doorstep Continuous delivery of new data Typically guaranteed service levels

Pull model Off- & On-line, interactive, time series Bespoke and/or user defined data areas of interest Typically without SLA User infrastructure dependent

Page 24: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

24 Data Science Symposium, 26th October 2015, Delft, [email protected]

BRINGING DATA TO THE USER ...

NRT world Push model, Fast, current, to the doorstep Operational users Continuous delivery of new data & products & data sets Typically guaranteed service levels

Offline world Pull model, Orders, time series Specific formats Non-time critical and typically without SLA Media delivery

The “grey zone” in between Pull model Faster and easier than offline interactive Added value & bespoke functions/processing

Page 25: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

25 Data Science Symposium, 26th October 2015, Delft, [email protected]

BRINGING USERS TO THE DATA ...

Question Data Algorithm Information Answer

Data providers awareness of the information potential and science that is perceived to be obtained from the base data Provision of added services on the “base” data to allow easier information extraction Interconnect Data access across different Providers via Interoperability Manage and interact with the user communities Develop services in the “grey zone”

Page 26: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

26 Data Science Symposium, 26th October 2015, Delft, [email protected]

BUILDING THE “BRIDGE” ...

Data Provider builds a “Bridge” for the User by: Highly Interactive User communities engagement process Enabling easy and homogeneous access to the data Pre-paring the data Diversity of delivery mechanisms Harmonised access to push & pull models Efficient use of supporting technologies Understanding and translation of a variety of data policies

Page 27: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

27 Data Science Symposium, 26th October 2015, Delft, [email protected]

EUMETSAT DATA SERVICES

RECOGNISING THE SCOPE ...

One fits all is not the right approach - push & pull is needed as well as “bringing data to the users” & “bringing users to the data”

Fully service oriented approach required

Big Data and associated technologies raise also questions on: Privacy, IPRs, User credentials, IT Security

“Safe harbor” concepts are booming

Fast developing technology supporting the big data concepts

“Free to the user” however represents for data providers potentially substantial cost

New business models are possible (public services, downstream services)

Page 28: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

28 Data Science Symposium, 26th October 2015, Delft, [email protected]

EUMETSAT DATA SERVICES DATA SERVICES VIDEO

EUMETSAT made the link and takes the related steps Re-use of existing operational capabilities Evolution of the service portfolio in full user interaction

•Sequence of pilots with direct benefits to the users

Formalized user interaction processes Service based interfaces Interoperable Data Discovery, Access & Retrieval Diverse Delivery mechanisms addressing diverse use cases (NRT, Online, Offline) with equal service delivery to users Considerations on how can data serve as information

External Data

Providers

SAFs

Partner Agencies

(NOAA, CMA,

ECMWF, JMA,

CNES, NMSs –

MF, DWD, ...)

Data

Data

Data

Data

EU

ME

TS

AT

Gro

un

d S

eg

me

nt

Data

Mu

lti-M

issio

n D

isse

min

atio

n E

lem

en

ts

Internet Data Service

&

ODA

EO

PO

RT

AL

DA

TA

CE

NT

RE

(arc

hiv

e)

EUMETSATs ground

stations network

EUMETCast

Uplink

DVB-S2 Broadcast

Order retrievals

User requests (search, order...) /registration

Push, no SLA,

unicast, multicast

Download, pull, no

SLA

Push, guaranteed SLA,

unicast, multicast

Direct Dissemination Data

Dristributed search

Order Subscription Request & Responses

GEONETCast catalogue & Metadata

Exchange

Product search,

order request,

order status

Push, guaranteed

SLA, multicast

Data

Multicast

Multicast

+ unicast

unicast

Multicast

+ unicastGEANT

Internet

RMDCN/WIS

Internet

Overall EUMETSAT Ground Segment including Multi-Mission Elements

Direct disseminated data

Offline/Archive data provision

Common service (NWC)

High volume service (NWP)

Data for WMO global exchange, bi-lateral

data exchange with required service levels

RGB imagery, ...

Potentially:

High volume pre-operational or test data

without agreed service levels, bi-lateral data

exchange without agreed services levels

Page 29: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

29 Data Science Symposium, 26th October 2015, Delft, [email protected]

EUMETSAT Search & Discovery

Key Features:

Product Navigator provides metadata descriptions, data provider and data access information.

Includes all EUMETSAT products and third-party products on EUMETCast.

Uses open standards (e.g. OGC, Inspire) for catalogue interoperability with other organisations.

Page 30: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

30 Data Science Symposium, 26th October 2015, Delft, [email protected]

EUMETCast – NRT dissemination

Key Features:

Off-the-shelf, commercially available DVB reception components

One-stop-shop - many data services via one station

Secure delivery – multicast to a specific user, or group of users supporting any Data Policy implementation

Handling many file formats, high and low volume data and supporting high-timeliness delivery requirements

Worldwide geographic coverage through GEONETCast partnership

EUMETCast Terrestrial Demonstration Service for high volume data provision to bi-lateral partners

Page 31: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

31 Data Science Symposium, 26th October 2015, Delft, [email protected]

EUMETSAT Data Centre – offline dissemination

Archive dating back to 1981

1.1 Petabytes stored

1.5 Petabytes

retrieved annually

Raw and reprocessed data,

centrally and decentralised produced

Networked with Satellite

Application Facilities (SAFs)

Access online via

Product Navigator

Page 32: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

32 Data Science Symposium, 26th October 2015, Delft, [email protected]

Climate data record project – information generation

SATELLITE

DATA

FUNDAMENTAL

CLIMATE DATA

RECORDS*

THEMATICAL

CLIMATE DATA

RECORDS**

MAJOR

MODEL-BASED

REANALYSIS

CLIMATE

INFORMATION

RECORDS

ADAPTION &

MITIGATION POLICY

AND PLANNING

(DECISION MAKING)

OPERATIONAL

MONITORING

OF WEATHER

AND THE

ENVIRONMENT

Short and medium latency

Sustained applications

Long-term information preservation

Climate Data Records

ARCHIVED

SATELLITE DATA

AND RECORDS

Climate services

OPERATIONAL

CLIMATE

MONITORING

LONGER TERM

CLIMATE

VARIABILITY

& CLIMATE

CHANGE ANALYSIS

* Fundamental

Climate Data Record

(FCDR):

a long-term data record

of calibrated and

quality-controlled

sensor data designed

to allow the generation

of homogeneous

products that are

accurate and stable

enough for climate

monitoring

** Thematic Climate

Data Record (TCDR):

a long-term data record

of validated and

quality-controlled

geophysical variables

derived from FCDRs.

ENVIRONMENTAL

DATA RECORDS

INTERIM CLIMATE

DATA RECORDS

Data conversion User service System performance monitoring

and automated corrections

Re-calibration / inter-calibration / reprocessing

Page 33: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

33 Data Science Symposium, 26th October 2015, Delft, [email protected]

EUMETSAT Data Centre and Inter-Calibration –

information generation

Archive of raw and re-processed

data dating back to 1981

Data base for inter-calibration

of sensors over time and

CDR generation.

Fig: Illustration of time series of radiance

correction coefficients and their uncertainties.

t

∆x

Time series of bias estimated from:

– GSICS Near Real-Time Correction

– GSICS Re-Analysis Correction

Page 34: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

34 Data Science Symposium, 26th October 2015, Delft, [email protected]

EUMETSAT SAF network across Europe

EUMETSAT NETWORK OF

SATELLITE APPLICATION

FACILITIES

Page 35: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

35 Data Science Symposium, 26th October 2015, Delft, [email protected]

Supporting and expanding the user base

Established End-User requirements process

User involving process for the evolution of the data service portfolio

Training

Fellowships

Capacity building

Infusing science to meet evolving user requirements

Engagement with also new user communities

International partnerships

Cooperation with other operators & data providers

Page 36: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

36 Data Science Symposium, 26th October 2015, Delft, [email protected]

THANK YOU

Page 37: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

37 Data Science Symposium, 26th October 2015, Delft, [email protected]

ANNEX SLIDES

Page 38: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

38 Data Science Symposium, 26th October 2015, Delft, [email protected]

The data provided by Meteosat satellites make a vital

contribution to daily weather forecasting, in particular for

nowcasting and very short range forecasting of high impact

weather like thunderstorms and fog over Europe, Africa and

adjacent seas.

Operated as a two-satellite system since 2006:

One satellite (currently Meteosat-10) provides

“full disc” images every 15 minutes over Europe,

Africa and part of the Atlantic and Indian oceans.

A second (currently Meteosat-9) provides “rapid scan”

images every five minutes over European

continent only.

A further satellite (currently Meteosat-8) serves

as a back-up for both the full disc and rapid

scanning services.

Meteosat Second Generation

Page 39: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

39 Data Science Symposium, 26th October 2015, Delft, [email protected]

EUMETSAT Polar System (EPS)

The EUMETSAT Polar System is comprised of two

polar-orbiting satellites (Metop-A and -B) operating

in parallel and their respective ground segments.

Delivers continuous global observations for

meteorological applications and climate monitoring.

Constitutes the European contribution to the Initial

Joint Polar System (IJPS) with the US National

Oceanic and Atmospheric Administration (NOAA).

Page 40: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

40 Data Science Symposium, 26th October 2015, Delft, [email protected]

Flying at an altitude of 817 km, each Metop satellite carries

the same dedicated, sophisticated suite of instruments.

They provide fine-scale global data, which can only

be gathered in the low Earth orbit, such as:

vertical profiles of atmospheric temperature

and moisture;

wind speed and direction at the ocean surface;

some atmospheric trace gases.

The satellites deliver data for NWP – the basis of

modern weather forecasting – and climate and

environmental monitoring.

The three Metop satellites, launched sequentially

(2006, 2012, 2018), will provide continuous data until 2020.

EUMETSAT Polar System (EPS)

Page 41: DSD-INT 2015 - Symposium 'earth observation & data science' - Reflections on the big data thematic, Lothar Wolf, Umetsat

41 Data Science Symposium, 26th October 2015, Delft, [email protected]

The Jason series: The reference for monitoring

ocean circulation and sea level

Launched on 20 June 2008, Jason-2 conducts

the Ocean Surface Topography Mission.

Continuing US-European high-precision altimetry

cooperation involving EUMETSAT, NOAA, CNES, NASA.

Aimed at expanding the series of high-precision data

initiated by Topex/Poseidon and continued by Jason-1.

Provides most accurate ocean surface topography

measurements available (a few centimetres) for

operational oceanography and sea level monitoring.

Jason-2 provides an indispensable reference against

which measurements of all other altimeter missions,

including Copernicus Sentinel-3, are cross-calibrated.

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The Jason series: The reference for monitoring

ocean circulation and sea level

Starting in 2015, EUMETSAT will support operations

of Jason-3, a recurrent Jason-2 satellite with the

same ground system.

Jason-3 will provide measurements of sea surface

height to an accuracy better than four centimetres,

every 10 days for a nominal lifetime of five years.

Jason-3 will be the first mission of the high-

precision ocean altimetry activity from the EU’s

Copernicus Programme.

The proposed two Jason-CS (Continuity of Service)

satellites will provide observations with higher

resolution along track and greater accuracy,

and ensure consistency with previous Jason

measurements and cross-calibration with Sentinel-3

and other altimetry data.

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Imagery mission implemented by

a two-satellite MTG-I system:

Full disc imagery every 10 minutes in 16 spectral

bands

Fast imaging of European weather every 2.5

minutes

new Lightning Imager (LI)

Hyper spectral infrared (IRS)

sounding mission:

3D mapping of water vapour, temperature,

O3 every 1 hour

Air quality monitoring and atmospheric chemistry in

synergy with GMES Sentinel-4 Ultraviolet Visible

Meteosat Third Generation

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4 imaging (MTG-I) and 2 sounding (MTG-S)

satellites,

start of operations in 2018 and 2019

operational exploitation: 2018 – 2038

full MTG mission implemented by two MTG-I

satellites and MTG-S satellite in orbit

Meteosat Third Generation

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EPS Second Generation

Primary mission: further improvement of

observational inputs to Numerical Weather

Prediction models

Significant improvements of other

applications

Now casting at high latitudes

Marine meteorology and operational

oceanography

Operational hydrology

Air quality monitoring

Climate monitoring

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EPS Second Generation

New two-satellite system in polar orbit:

Metop-SG A: optical imagery and

sounding mission

Metop-SG B: microwave imaging mission

Continuation and enhancement of polar-

orbiting service to meet growing requirements

in the years 2021 – 2040

Decision for the full EPS-SG programme

proposal still pending, at least three

Metop-SG A satellites, one or two

Metop-SG B satellites.