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Optical coarse resolution sensors on US polar satellites:
the AVHRR-MODIS-VIIRS continuity Enrique Montaño
University of Maryland, Department of Geography
Ivan A. Csiszar NOAA/NESDIS Center for Satellite Applications and
Research
POES (NOAA series)
AVHRR – Advanced Very High Resolution Radiometer + 7 additional sensors (sensor configuration varies by satellite)
Current: AM prim.METOP-A* AM sec. NOAA-15 AM b.u. NOAA-17 PM prim.NOAA-19 PM sec. NOAA-18
* Part of IJPS: Initial Joint Polar-orbiting Operational Satellite System
AVHRR: Advanced Very High Resolution Radiometer
• Since 1979* on the NOAA satellites
• Since 2007* on EUMETSAT METOP series
• *dates refer to operational status, following instrument check-out after launch
NOAA satellite
AVHRR instrument
Shortwave (reflected) Middle infrared (refl. + emitted) Longwave (emitted)
AVHRR sensor characteristics
• 6 channels, a maximum of 5 channels operating at any given time – 1: ~0.6 µm
– 2: ~0.9 µm
– 3a: ~1.6 µm (starting with NOAA-15) • or
– 3b: ~3.7 µm
– 4: ~10.5 µm
– 5: ~11.5 µm
• 1.1 km pixel size at sub-satellite point
switch
AVHRR data collection and distribution modes
• Global Area Coverage (GAC) – 4km, sampling and averaging
– recorded on board, full global coverage
• High Resolution Picture Transmission (HRPT) – 1km, native resolution
– transmitted to local direct readout receivers
• Local Area Coverage (LAC) – 1km, native resolution
– recorded on board (NOAA), limited coverage
• Full Resolution Area Coverage (FRAC) – 1km, native resolution
– recorded on board (METOP), full global coverage
AVHRR Local Area Coverage (LAC) and Global Area Coverage (GAC)
NOAA KLM Users’ Guide
AVHRR/GAC is the only long-term global data record available (~30 years)
Cahoon et al. 2000 nominal pixel size
True sampling area of an AVHRR pixel
The radiant energy is collected over an area that is larger than the nominal pixel size.
Less energy is collected as we move away from the center of the pixel.
Cahoon et al. 2000
True sampling area of an AVHRR pixel
There is an overlap in sampling between adjacent pixels.
NOAA AVHRR shortwave bands: no on-board calibration; calibration drift
courtesy E. Vermote UMd
Sensor sensitivity degrades over time.
Continuous calibration is necessary.
Long-term AVHRR sensor degradation
Trishchenko et al 2003
Maximum detectable 3.7 μm brightness temperature
An example of sensor degradation - AVHRR channel 3(b) saturation temperature slightly increases over time
Orbital drift of NOAA satellites
Year
AVHRR Equatorial Overpass Time
Local time of observation varies over the years – consequently, illumination conditions and sampling of the diurnal cycle vary also.
Hotspot locations over forest from NOAA/AVHRR
1989-1999
Z. Li
An example of changing sampling of the diurnal cycle.
The number of hot spots vary over the years (which also includes real variability!).
Note the change between 1994 (NOAA-11, 5pm) and 1995 (NOAA-14, 1:30 pm)!
Sol
ar z
enith
ang
le
Pinzón et al., 2002
Orbital drift leads to changing observing conditions over time
Seasonal cycle and long-term trend of solar illumination angle
JANUARY
APRIL
JULY
OCTOBER
NDVI=(ch2-ch1)/(ch2+ch1) Normalized Difference Vegetation Index
fV=k*NDVI (vegetation fraction)
Global vegetation monitoring from
AVHRR
ND
VIx
100
?
?
Long-term vegetation dynamics
Are these drops in NDVI real signals of vegetation condition?
Aerosols
Volcanic eruptions increase atmospheric aerosol content and “contaminate” the vegetation signal – correction for this effect is necessary.
Mount Pinatubo eruption in 1991
NASA Langley Research Center Aerosol Research Branch
ND
VIx
100
Orbital drift – changing illumination angle.
Eruption of Mount Pinatubo.
Long-term vegetation dynamics
Are these drops in NDVI real signals of vegetation condition?
An example of NDVI Time Series
(Zhu et al., 2002)
There are multiple long-term AVHRR NDVI datasets.
AVHRR-MODIS transition: MODIS “Operationalized” Land
• Global Vegetation Index (8 km GVI; NOAA) – Top-of-atmosphere composited NDVI only
• GIMMS / Pathfinder I (8 km; NASA/NOAA) – NDVI with some atmospheric correction
– Multi-mission cross-calibration, solar angle normalization
• FASIR (1°; NASA) – GIMMS + LAI, FPAR and albedo
– NASA/Umd Long-Term Data Record (LTDR)
– Atmospheric correction, rigorous calibration and navigation
• MODIS Land Products (250, 500 and 1000 m; NASA) – Top-of-canopy multiproduct suite (VI, LST, LAI, FPAR, NPP, albedo, fires)
– Rigorous Calibration, Quality Assurance Bits, Validation Program
– Fast (<3 days) for complete suite, Rapid Response (<3 h) for some
Continuity with MODIS – match-up during overlap between the two observing systems
AVHRR-MODIS spectral differences
(Saleous et al., 2007)
Spectral adjustments are necessary to account for different spectral sampling by AVHRR and MODIS.
MODIS Land Products Energy Balance Product Suite
– Surface Reflectance – Land Surface Temperature,
Emissivity – BRDF/Albedo – Snow/Sea-ice Cover
Vegetation Parameters Suite – Vegetation Indices – LAI/FPAR – GPP/NPP
Land-Cover/Land-Use Suite – Land Cover/Vegetation
Dynamics – Vegetation Continuous
Fields – Vegetation Cover Change – Fire and Burned Area
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Product Format
• Hierarchical Data Format (HDF) – Self describing file format
• Science Data Sets (SDSs) – 2D, 3D or 4D arrays – Bit Fields – unsigned integers broken into groups of bits
– Discrete values – e.g., Snow, Cloud, etc. – Scaled Integers – valid range, scale and offset included
• Attributes – text or other data that annotates the file (global) or arrays (SDSs)
• Metadata – ECS metadata for products (stored as attributes) – includes QA information, date/time products acquired/produced, etc.
• .met file also contains the ECS core metadata – some additional fields
– some fields (QA, etc.) may be updated when product distributed
• HDF-EOS Metadata (SWATH or GRID) – geometric information that relates data to specific earth locations
L2G Format L2G product with same spatial dimensions as corresponding L3 tile
Stack of observations per output grid cell
obs 3
obs 1
obs 2
obs i
Observation i - Pointer information: - granule pointer, line sample, etc. - Geophysical parameters: - E.g. land surface reflectance, thermal anomalies, etc. - Viewing geometry: - view zenith, solar zenith, etc. - Per pixel QA - Cloud cover, aerosol, sensor condition, etc.
26
MODLAND QA ���http://landweb.nascom.nasa.gov/cgi-bin/QA_WWW/newPage.cgi
QA Summaries
Known Issues
Global Browse
Time Series
Land Validation
Validation Stages:
1. Product accuracy has been estimated using a small number of independent measurements obtained from selected locations and time periods and ground-truth/field program efforts.
2. Product accuracy has been assessed over a widely distributed set of locations and time periods via several ground-truth and validation efforts.
3. Product accuracy has been assessed, and the uncertainties in the product well-established via independent measurements made in a systematic and statistically robust way that represents global conditions.
(Nightingale et al., 2009; Morisette et al. 2006)
Sites of validation activities for most of the Land products. The majority of validation activities occurred in North America, though operational scientific networks such as BSRN, Aeronet and Fluxnet, in addition to satellite-product inter-comparisons.
What is JPSS? • Joint Polar Satellite System
– Re-designed NPOESS: National Polar-orbiting Operational Environmental Satellite System
• JPSS will replace – NOAA’s current Polar-orbiting Operational Environmental Satellites
(POES) – DoD’s Defense Meteorological Satellite Program (DMSP)
• Will employ platforms and instruments that incorporate technological advances from NASA’s Earth Observing System (EOS)
• NPP: NPOESS Preparatory Program – a mission to ensure POES/EOS to JPSS transition
NPP Background
Initial Joint Polar-Orbiting Operational Satellite System (IJPS) Mission
• IJPS is a cooperative effort between NOAA and EUMETSAT to provide and improve the operational meteorological and environmental forecasting and global climate monitoring services worldwide.
• IJPS started with NOAA N, covers the MetOp series, and continues with National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP) and Joint Polar Satellite System (JPSS).
NPP Mission • NPP is a joint NASA/NOAA instrument risk reduction project • Objective of the NPP mission is to provide a continuation of the EOS
record of climate-quality observations after EOS Terra, Aqua, and Aura; and to provide risk reduction for JPSS instruments, algorithms, ground data processing, archive, and distribution prior to the launch of the first JPSS spacecraft.
26
Future US-European constellation of LEO satellites
• Future Joint Polar Orbiting Operational Satellite System – JPSS C1: ~2016; 1:30 PM – JPSS C2: ~2019; 1:30 PM – METOP B: ~2012; 9:30 AM – METOP C: ~ 2016: 9:30 AM
• Current Initial JPS includes NOAA and METOP satellites
GCOM-W1 thru W3
31
NPP: NPOESS Preparatory Project
• Bridge between the NASA EOS program and JPSS for the development of the following sensors – Advanced Technology Microwave Sounder (ATMS) – Cross-track Infrared Sounder (CrIS) – Ozone Mapping and Profiler Suite (OMPS) – Visible/Infrared Imager Radiometer Suite (VIIRS) – Cloud and Earth Radiant Energy System (CERES)
• ~late 2011, 1:30 PM orbit
NPP Instruments
VIIRS – Medium resolution Visible& Infra-red Imager
CrIS – Fourier Transform Spectrometer for IR Temperature and Moisture sounding
ATMS – Microwave sounding radiometer
CERES – Earth Radiation Budget measurements
Photo Courtesy of Ball Aerospace
OMPS – Total Ozone Mapping and Ozone Profile measurements
All the NPP Instruments are on the Spacecraft!
SATELLITE NADIR DECK
ATMS CrIS
VIIRS
OMPS
• VIIRS Heritage – OLS: Optical Line Scanner (Operational) – AVHRR: Advanced Very High Resolution Radiometer (Operational) – SeaWiFS: Sea viewing Wide Field-of-view Sensor (R&D) – MODIS: Moderate Resolution Imaging Spectroradiometer (R&D)
• VIIRS will provide operational and research users with: – Spectral coverage from 412 nm to 12 microns in 22 bands • Imagery at ~375 m nadir resolution in 5 bands • Moderate resolution (~750 m at nadir) radiometric quality data
• Routine data products – Cloud cover, cloud layers – Cloud and aerosol physical properties – Land & ocean biosphere properties, snow & ice – Sea Surface Temperature, Land & Ice Temperatures – Fire detection – Imagery
VIIRS: Visible Infrared Imager Radiometer Suite
VIIRS builds upon and improves from previous sensors
VIIRS
Imagery Spatial Resolution: ~400m @ NADIR / 800m @ EOS
The VIIRS Design Concept
VIIRS VIS/NIR Focal Plane Layout
• 12 km / rotation • 16 detectors for
Moderate Resolution (M; 740 x 318 m @ nadir)
• 32 detectors for Imaging Resolution (I; 370 x 95 m @ nadir)
• CCD array for DNB (740 x 740 @ nadir)
VIIRS Sensor Bands
VIIRS Heritage
Comparison of VIIRS, MODIS and AVHRR Spectral Capabilities& the Missing MODIS Channels
VIIRS MODIS AVHRR
**VIIRS has no CO2 channels 33 to 36 for CO2 slicing and temperature sounding applications
MODIS channels not on VIIRS
H2O
H2O H2O
H2O
O2
CO2
CO2
H2O
O2
O3
H2O
O2
Adapted from Raytheon ITSS
Shortwave: VIIRS Similar To MODIS
VIIRS Thermal: Fewer, Wider Bands
VIIRS MODIS
Comparison of Operational Sensors
VIIRS Aggregation Scheme
VIIRS Detector Aggregation Scheme
MODIS vs. VIIRS pixel size growth
NPP/JPSS data records • Raw Data Record (RDR) • Sensor Data Records (SDRs)
– full resolution sensor data • time referenced, Earth located, and calibrated
• sensor units (e.g., radiances)
• Environmental Data Records (EDRs) – defined in the Integrated Operational Requirements Documents (IORDs) – rapid data delivery – high-speed availability of ancillary data – high-performance execution of the sensor contractors' state-of-the-art
science algorithms for civilian and military applications
• Climate Data Records (CDRs) – timeliness can be relaxed – implementation of complex algorithms using diverse ancillary data
VIIRS Bands and Products
Dual gain band
VIIRS 22 Bands: 16 M_ Band, 5 I_Band and 1 DNB
VIIRS 24 EDRs Land, Ocean, Atmosphere, Snow
* Product has a Key Performance attribute
VIIRS MODIS
EDR: Environmental Data Record
Imagery EDR: • The Imagery EDR consists of three components: • 375m Radiance, Reflectance, and Brightness Temperatures • 750m Radiance, Reflectance, and Brightness Temperatures • Near Constant Contrast (NCC) Imagery. • The 375m and 750m Radiances, Reflectances, and Brightness
Temperatures are to be remapped from the SDR swath projection to a Ground Track Mercator (GTM) projection.
• NCC Visible Imagery, produced by this process, is derived from the broad day/night band near the terminator region and is also remapped from the SDR swath projection to a GTM projection.
• Execution Conditions: All pixels, all conditions • HCS: @ Nadir: 0.4 km (Imagery and Day/Night bands only)
VIIRS Imagery EDR EDR-Environmental Data Record | IP-Intermediate Product | ARP-Application Related Product
VIIRS Land EDRs, IPs, and ARP EDR-Environmental Data Record | IP-Intermediate Product | ARP-Application Related Product
Heritage: MODIS “Operationalized” Land Algorithms
NPP Sensor to EDR mapping
08/18/10
JPSS Capabilities
• ALBEDO (SURFACE) • CLOUD BASE HEIGHT • CLOUD COVERAGE/LAYERS • COULDEFFECTIVE PART SIZE • CLOUD OPTICAL THICKNESS • CLOUD TOP HEIGHT • CLOUD TOP PRESSURE • CLOUD TOP TEMPERATURE • ICE SURFACE TEMPERATURE • NET HEAT FLUX • OCEAN COLOR/CHLOROPHYLL • SUSPENDED MATTER • VEGETATION INDEX • AEROSOL OPTICAL THICKNESS • AEROSOL PARTICLE SIZE • LAND SURFACE TEMPERATURE
• IMAGERY • SEA ICE CHARACTERIZATION • SNOW COVER/DEPTH • SEA SURFACE TEMP • SURFACE TYPE
• SOLAR IRRADIANCE
• ATM VERT MOIST PROFILE • ATM VERT TEMP PROFILE • PRESSURE (SURFACE/PROFILE)
• O3 Total Column (also CrIS)
• O3 profile (NADIR ONLY)
• DOWN LW RADIANCE (SFC) • DOWN SW RADIANCE (SFC) • NET SOLAR RADIANCE (TOA) • OUTGOING LW RAD (TOA)
VIIRS (21)
TSIS (1)
CrIS/ATMS (3)
OMPS (1)
ERBS/CERES) (4)
• CLOUD LIQUID WATER • LAND SURFACE EMISSIVITY • PRECIPITATION TYPE/RATE • PRECIPITABLE WATER • SEA SUFACE WINDS (DIRECTION) • SNOW WATER EQUIVALENT
GCOM-W AMSR (16)
Courtesy T. Schott, NOAA
NPOESS Data Latency
NPOESS System Latency is the sum latency of the Space; Command, Control, and Communication (C3); and Interface Data Processing (IDPS) Segments. IORD requirements specify a 90-minute threshold and a 15-minute objective for processing Environmental Data Records (EDRs). The NPOESS System provides near-objective EDR latency performance. The System delivers 95% of EDRs in less than 28 minutes across the full NPOESS operating environment.
NOAA Archives • NESDIS Mission:
“NOAA's National Environmental Satellite, Data, and Information Service (NESDIS) is dedicated to providing timely access to global environmental data from satellites and other sources to promote, protect, and enhance the Nation's economy, security, environment, and quality of life.
To fulfill its responsibilities, NESDIS acquires and manages the Nation's operational environmental satellites, provides data and information services, and conducts related research.”
• NOAA National Data Centers • National Climatic Data Center (NCDC)
• National Geophysical Data Center (NGDC)
• National Oceanographic Data Center (NODC)
• NCDC is responsible for the long-term preservation of NPP data • Science data stewardship
• Not just storing bits and bytes but preservation of the information • Technology migration
• Enhance the information and provide easy access
CLASS Overview Courtesy of Drew Saunders, STG-NOAA/NESDIS/NCDC
• Comprehensive Large Array-data Stewardship System (CLASS)
• Designated NOAA IT enterprise solution
• Supports NOAA’s data centers and science data stewardship missions
• Provides interface for ingest and data access
• Example of current data holdings (~35 data families):
• Geostationary Operational Environmental Satellite (GOES)
• Advanced Very High Resolution Radiometer (AVHRR)
• Defense Meteorological Satellites Program (DMSP)
• TIROS Operational Vertical Sounder (TOVS/ATOVS)
• JASON-2 Satellite
• Future data holdings: • National Polar-orbiting Operational Satellite System (NPP/NPOESS/JPSS)
• Geostationary Operational Environmental Satellite (GOES-R)
• Next-Generation Radar (NEXRAD)
• National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CSFR)
• URL: http://www.class.noaa.gov
NPP Data for Archive
• Operational • Visible/Infrared Imager Radiometer Suite
• VIIRS: RDR, SDR, IP, EDR, ARP
• Cross-track Infrared Sounder • CrIS: RDR, SDR
• Advanced Technology Microwave Sounder • ATMS: RDR, TDR
• Cross-track Infrared and Microwave Sounder Suite • CrIMSS: EDR
• Ozone Mapping Profiler Suite • OMPS: RDR, SDR, IP, EDR
• Clouds and the Earth’s Radiant Energy System • CERES: RDR
NPP Data for Archive (2)
• Auxiliary Data: • Mission Schedules
• Mission Notices
• Revolution Number File
• CERES Auxiliary Files (still being worked)
• Ancillary Data: • Two-line Elements (TLEs)
• Official Static and Dynamic Ancillary Data
• Release Packages: • Software
• Documentation
• Supporting Data (Ancillary Data)
• Test Data
• Calibration/Validation Data (still being worked)
CLASS - NPP
• New campaigns, like NPP, utilize existing CLASS capabilities
• Familiar interface, search, order, and dissemination methods
• Anyone can search for data • Must be registered to order data
• Can create and save user preferences and search criteria
• User help • Help desk
• Help pages • Online demo
• Documentation • Mission and sensor specific • Links to external sources
CLASS – Data Ingest • Ingest data from the NPP Ground Segment
– Operational products sent to CLASS after 6 hour delay
• Guarantees complete/best products are delivered
– Data available from CLASS within 24 hours of generation
– CLASS validates files that are ingested
– Aggregated products are ingested by CLASS
• Searches are based on the aggregated products but users can order deaggregated products
NPP Sensor
Granules Per Orbit
Granule Len (sec)
# Granules Agg
Storage Agg Len
(sec)
CrIS 191 32 10 320
ATMS 191 32 10 320
VIIRS 71 85.7 4 342.8
OMPS 160 38 160 6080
CERES 10 660 1 660
CLASS – Data Access • Search types (web interface)
– Normal/Advanced Search • Attributes to search operational data:
– Satellite, sensor, product, temporal, geographical
• Attributes to search ancillary/auxiliary data: – Temporal
• Detailed Display provides granule/file level metadata
– Simple Search • Satellite, sensor, product, temporal, geographical
• Automatically copies data to shopping cart – Eliminates the browse capability
– Higher limit on number of files you are allowed to order
– Dataset Name • Searches for a specific filename or filename pattern
– Granule ID • Provenance search based on granule ID
– Returns products utilized to produce an SDR or EDR
CLASS – Data Access (2)
• Search types (web interface) – Beginning Orbit Number
• Returns all aggregations with the specified orbit number
– Search Collection Metadata • Allows users to search across data families and data
types – Federal Geographic Data Committee (FGDC) compliant
» Will be migrated to ISO19115-2
– Records are housed in NOAA Metadata Manager Repository and published to NOAAServer
» NOAAServer provides distributed access to NOAA environmental data and information
CLASS – Data Order • Select items for order
– Operational data • Maximum number of files per order is configurable (by CLASS)
• Established to provide an expected level of service and efficiency
– Associated ancillary and/or auxiliary information
– Package geo-location products with the data products
• Subscription – Provides automatic distribution of specified products
– Products can be ‘pushed’ or ‘pulled’
– Common CLASS interface used for handling subscriptions • Request is for continued dissemination, not a one time order
– Contact the CLASS Help desk to be registered for subscription access
CLASS – Data Dissemination
• Delivery Options – File Transfer Protocol (FTP)
• ‘get’ the ordered files from the CLASS holding zone
• Files remain in the holding zone for 48 hours – Longer times can be requested, if needed
– Bulk Delivery • It is expected and encouraged to use bulk orders for large orders
• It is understood the web interface will not service everyone’s needs
• Currently, bulk orders are serviced manually, working to automate
• Distribution media – Magnetic tape
– FTP
Data Access Example 1. CLASS Web Interface
2. Select Dataset for Search
3. Search for Data
4. Search Results List
5. Detailed Display
6. Granule Metadata Display
7. Select Products for Order
8. Create User Account
9. Set User Preferences
10. Submit Order
11. Order Confirmation
12. Order Status
13. Order Details
14. Email Notification
Step 1: CLASS Web Interface
Step 2: Select Dataset for Search
Step 3a: Search for Data - VIIRS
Spatial or Temporal Search
Step 3b: Search for Data - VIIRS
Filename, Granule ID, or Orbit Number Search
Step 4: Search Results List
Step 5: Detailed Display
Step 6: Granule Metadata Display
Step 7: Select Products for Order
Step 8: Create User Account
User account can be created with a minimum of information.
Step 9: Set User Preferences
Step 10a: Submit Order
Step 10b: Submit Order (Advanced Options)
Note the Advanced Options
NPP Data and Access with CLASS - 86
Step 11: Order Confirmation
Step 12: Order Status
NPP Data and Access with CLASS - 88
Step 13: Order Details
Step 13: Email Notification NOAA COMPREHENSIVE LARGE ARRAY-DATA STEWARDSHIP SYSTEM A SERVICE OF: NOAA NATIONAL DATA CENTERS CLASS has processed your order number 21058403. The total size of this order is 1714197488 bytes. Comments for this Order: The following item(s) are available for you to ftp copy. The procedure to copy is as follows: ftp ftppopout.nsof.class.noaa.gov - Logon to CLASS system anonymous - FTP user id user@internet - FTP password binary - Changes transfer mode to binary cd 21058403 get VSSTO_npp_d20030125_t0833371_e0835016_b00015_c20100609013653920793_noaa_ops.h5 get
GMTCO_npp_d20030125_t0833371_e0835016_b00015_c20100609013653921327_noaa_ops.h5 get VSSTO_npp_d20030124_t1459331_e1505130_b00000_c20100608142641492673_noaa_ops.h5 get GMTCO_npp_d20030124_t1459331_e1505130_b00000_c20100608142641562286_noaa_ops.h5 get VSSTO_npp_d20030125_t0156442_e0158087_b00011_c20100608185537367320_noaa_ops.h5 get GMTCO_npp_d20030125_t0156442_e0158087_b00011_c20100608185536092155_noaa_ops.h5 get VSSTO_npp_d20030125_t0205169_e0206414_b00011_c20100608190041012776_noaa_ops.h5 get GMTCO_npp_d20030125_t0205169_e0206414_b00011_c20100608190041012960_noaa_ops.h5 get VSSTO_npp_d20030125_t0450171_e0455571_b00012_c20100608221541974384_noaa_ops.h5 get GMTCO_npp_d20030125_t0450171_e0455571_b00012_c20100608221241665113_noaa_ops.h5 get VSSTO_npp_d20030125_t0501395_e0507195_b00012_c20100608222141943438_noaa_ops.h5 get GMTCO_npp_d20030125_t0501395_e0507195_b00012_c20100608221620684553_noaa_ops.h5 get VSSTO_npp_d20030125_t0213478_e0215123_b00011_c20100608190035614983_noaa_ops.h5 get GMTCO_npp_d20030125_t0213478_e0215123_b00011_c20100608190035434077_noaa_ops.h5 get VSSTO_npp_d20030125_t0213478_e0215123_b00011_c20100608190219659042_noaa_ops.h5 get GMTCO_npp_d20030125_t0213478_e0215123_b00011_c20100608190219660135_noaa_ops.h5 - Copies data to your system bye (or quit) - Ends FTP session
Alternatively, you can also pick up your data via http://wwwpop.nsof.class.noaa.gov/download/21058403 NOTE: You must pick up your data within 48 hours of this notice. Thank you. << DO NOT reply to this e-mail as it is automatically generated. >> << Please direct questions to the Help Desk: >> NOAA/CLASS User Assistance National Climatic Data Center 151 Patton Avenue Asheville, NC 28801-5001 Internet: [email protected].
CLASS Future Enhancements
• System Evolution – Additional access to CLASS functionality
• New APIs, which are used by CLASS applications and the CLASS web interface, will be available to external clients.
• Working on additional interfaces to data in CLASS – CFSR data in CLASS accessible by NOMADS
– Capability to refine previous searches • Allows you to narrow down result set
– Additional options for subscription orders – Automation of bulk order processing
Extra
VIIRS Sensor Bands: SW/NIR
VIIRS Sensor Bands: SWIR
VIIRS Sensor Bands: MIR
VIIRS Sensor Bands: TIR
JPSS Data Flows
NOAA Satellite Operations Facility (NSOF)
NPP ROLES / RESPONSIBILITIES
IPO • Joint Program Management
• VIIRS Instrument
• CrIS Instrument
• OMPS Instrument
• Command, Communications, Control Segment (C3S)
• Interface Data Processing Segment (IDPS)
• Mission Operations
NASA • Joint Program Management
• Mission systems engineering, integration, and test
• ATMS Instrument
• Spacecraft and integration
• Launch vehicle and associated activities
• Science Data Segment (SDS)
NOAA / NESDIS
• Archive & Distribution Segment (ADS)
NPP Mission Segments and Responsibilities
VIIRS Testing
