SlideShare a Scribd company logo
National Polar-orbiting Operational Environmental
Satellite System (NPOESS)
(Excerpts from)
An Introduction to NPOESS
presented at
IGARSS 2003
Toulouse, France

Integrated Program Off
ice

July 22, 2003

July 22, 2003

1
A Tri-agency Effort to Leverage and Combine Environmental Satellite
Activities
METOP

Mission
Provide a national, operational, polarorbiting remote-sensing capability

NPOESS
NPOESS

Achieve National Performance Review
(NPR) savings by converging DoD and
NOAA satellite programs

0530
0930

Incorporate new technologies from
NASA
Encourage International Cooperation

Specialized
Satellites

1330

Local Equatorial Crossing
Time
NPOESS

Saves as much as $1.3B from the cost of previously planned separate
developments
July 22, 2003

2
IORD Content Example
Sea Surface Temperature (SST)
• Sea Surface Temperature
is defined as a highly
precise measurement of
the temperature of the
surface layer (upper 1
meter) of ocean water.
It has two major
applications: 1) sea
surface phenomenology,
and 2) use in infrared
cloud/no cloud decision
for processed cloud data.
The accompanying
requirements apply only
under clear conditions
(unless specified
otherwise).
July 22, 2003

3
NPOESS EDR-to-Sensor Mapping
55 Product Sets [RDR, SDR, EDR]

Atmospheric Vertical Moisture Profile
Atmospheric Vertical Temp Profile
Imagery
Sea Surface Temperature
Sea Surface Winds
Soil Moisture
Aerosol Optical Thickness
Aerosol Particle Size
Aerosol Refractive Index
Albedo (Surface)
Auroral Boundary
Auroral Energy Deposition
Auroral Imagery
Cloud Base Height
Cloud Cover/Layers
Cloud Effective Particle Size
Cloud Ice Water Path
Cloud Liquid Water
Cloud Optical Thickness
Cloud Particle Size/Distribution
Cloud Top Height

Cloud Top Pressure
Cloud Top Temperature
Downward Longwave Radiance (Sfc)
Downward Shortwave Radiance(Sfc)
Electric Field
Electron Density Profile
Energetic Ions
Geomagnetic Field
Ice Surface Temperature
In-situ Plasma Fluctuations
In-situ Plasma Temperature
Ionospheric Scintillation
Medium Energy Charged Particles
Land Surface Temperature
Net Heat Flux
Net Solar Radiation (TOA)
Neutral Density Profile
Color/Chlorophyll
Ocean Wave Characteristics
Outgoing Longwave Radiation (TOA)
Ozone - Total Column/Profile

Precipitable Water
Precipitation Type/Rate
Pressure (Surface/Profile)
Sea Ice Characterization
Sea Surface Height/Topography
Snow Cover/Depth
Solar Irradiance
Supra-Thermal-Auroral Particles
Surface Type
Wind Stress
Suspended Matter
Total Water Content
Vegetation Index

VIIRS (23)
CMIS (19)
CrIS/ATMS (3)
OMPS (1)
SES (13)
GPSOS (2)
ERBS (5)
TSIS (1)
ALTIMETER (3)
APS (4)

Environmental Data Records (EDRs) with Key Performance Parameters
July 22, 2003

4
NPOESS Overview
• Contract was awarded on August 23, 2002 to Northrop
Grumman Space Technology
• Contract consists of:
– 6 satellites
• Taking over all government instrument contracts
• Buying all “leveraged” instruments
• Integrating GFE instruments (ADCS and SARSAT)

– Building and deploying all ground systems
• C3 and data retrieval
• Data processing hardware and software

– Software for worldwide users
– Operating system through IOC (2011)
• with option to 2018
July 22, 2003

5
NPOESS Top Level Architecture
GPS
NPP
(1030)

NPOESS
1330

NPOESS
1730

Low Rate Data/
High Rate Data
(LRD/HRD)

Space
Segment
Command
& Control
Segment

Alternate MMC
Alternate MMC
at Schriever AFB
at Schriever AFB

NPOESS
2130

Svalbard
Svalbard

Field
Terminal Segment

15 Globally Distributed
15 Globally Distributed
Receptor Sites
Receptor Sites

FNMOC

Mission Management
Mission Management
Center (MMC)
Center (MMC)
at Suitland
at Suitland

NPP Data & Control Flow

Data Quality
SMD/HRD
LRD
Data Latency
SMD
HRD/LRD
Data Availability

NAVOCEANO

NPP Science Data Segment
CLASS

ADS

AFWA

NESDIS/NCEP

Interface Data Processing Segment

NPOESS Data & Control Flow

CLASS

NOAA Comprehensive Large
Array Data Stewardship System

ADS

NPP Archive & Distribution Seg

128 attributes above, 724 at, 7 below threshold
305 attributes above, 180 at, 0 below threshold

Threshold

Objective

Operational Availability

July 22, 2003

6
NPOESS Satellite
CMIS

ATMS
CrIS
VIIRS

OMPS

ERBS

NPOESS 1330 Configuration

Single satellite design with common sensor locations
July 22, 2003

VIIRS - vis/IR imager
CMIS - µwave imager
CrIS - IR sounder
ATMS - µwave sounder
SESS - space environment
GPSOS - GPS occultation
OMPS - ozone
ADCS - data collection
SARSAT - search & rescue
APS - aerosol polarimeter
ERBS - Earth radiation budget
SS
- laser sensor
ALT - altimeter
TSIS - solar irradiance
VIIRS
CMIS
CrIS
ATMS
SESS
GPSOS
OMPS
ADCS
SARSAT
ERBS
SS
ALT
TSIS

1330
X
X
X
X
X
X
X
X
X
X
X

1730
X
X

X
X
X
X
X

2130
X
X
X
X

X
X

7
Interface Data
Processing Segment
(IDPS)

July 22, 2003

8
Segment Approach
•

•

•

July 22, 2003

High performance computing hardware
– Each Central has a complete system (IDP) that will generate all products
within required latencies
– Each IDPS or Central contains an Operations string, an Integration and Test
(I&T) string, and shared disk arrays (RAID)
– Operations string carries 100% reserve capacity and additional availability
processors
– I&T string can be used for integration and test of new software, support for
technology insertion, parallel operations, failover, and algorithm
development
Modular, workflow managed software
– Receives multiple data streams from C3S, processes data into RDRs, SDRs,
TDRs, and EDRs, packages products into form useful for Centrals, and
delivers requested products to end users
– Centrals have control over what products are created, which ancillary data
sets are used, and how products are delivered
Same software is used in field terminals
– Will be made available worldwide via download from the internet
9
IDPS Functional Diagram

SDR/TDR
Generation

Ingest
Subsystem

DRR
SMD

Auxiliary
Data
Ancillary
Data
Ancilla
ry
Data

Ingest
Sensor Data
Ingest
Auxiliary
Data
Ingest
Ancillary
Distribute
Data
Ancillary Data

Other
IDPs
C3S

RDR

RDR

SDR

EDR
All Internal
Data Types

Ancil

Data
Requests

Data Delivery
Subsystem

xDR Data

Data formatted to
Centrals External Format

All Internal
Data Types

On-Line
Data Storage

Ancil

External
Formatted
Data

Data Management
Subsystem
Process
Initiation

Processing
Directives

Cal/Val
Subsystem

Processing
Status & Control

Production and infrastructure management
Communication services and utilities

Infrastructure Subsystem
Enterprise Management

IDP Operator

July 22, 2003

Ancil
Auxil

Tool Kits

Cache Data Mgmt Service

Auxil

Work Flow
Scheduling
Coordination
Schedule
Processing
History

SDR

Processing
Subsystem

EDR
Generation

Centrals
ADS
SDS
CLASS

C3S

NPOESS
Enterprise Management
Status and Control

LUTs

CCB/Ingest

Cal/Val
Operator

10
NPOESS Algorithms as Key Inputs
to User Models
Payload IPT
Science Algorithm
Development/
Procurement
SE IPT
Correction requests
• Incomplete delivery
• Non-compliant products
• Failure Analysis

Sensor and Operating
Environment
Characterization

Delivered Science Algorithms
• ATBD
• Science-grade code
• Test Sets

Science Algorithm
Verification

Verified Science Algorithms
• ATBD
• Science-grade code
• Test Sets
• OADs

IDPS IPT
Science to
Operational Algorithms
Operational
Science Discrepancy Reports
• Operational Algorithm Document
• Timeliness failure
Algorithm Migration
• Operational-grade code
• Quality failure
ST&E IPT
• EDR Test output
Operational Verification
Operational
Test Reports
Verified Operational Algorithms
• Pass
Algorithm
• Operational-grade code
• Fail
Performance
- Timeliness failure
Verification
- Quality failure
Calibrated/Validated
ST&E IPT
Operational Algorithms

Specific IPTs have
responsibility and
budget for assigned
algorithm activities
within program phases
July 22, 2003

• Discrepancy reports
• New calibration coefficients

Operational
Algorithm Cal/Val

Discrepancy Reports
• Operation
• Performance

• Calibration
Coefficients
• Operational-grade
code

O&S IPT
User Operational
Algorithm
Assessment

11
Data and Metadata

• Metadata being defined consistent with
– National Spatial Data Infrastructure standards
– operational and archival users needs
• Data files being defined consistent with an NPOESS
profile
– lessons learned
– operational and archival users needs
– basic HDF feature set
– consistency across products

September 23,
July 22, 2003 2003

12
Integrated Program Office
Web sites

NPOESS Websites
–http://www.npoess.noaa.gov
–http://npoesslib.ipo.noaa.gov/
(electronic bulletin board)

July 22, 2003

13

More Related Content

What's hot

AI models for Ice Classification - ExtremeEarth Open Workshop
AI models for Ice Classification - ExtremeEarth Open WorkshopAI models for Ice Classification - ExtremeEarth Open Workshop
AI models for Ice Classification - ExtremeEarth Open Workshop
ExtremeEarth
 
Space Situational Awareness Forum - GERMAN AEROSPACE CENTRE Presentation
Space Situational Awareness Forum - GERMAN AEROSPACE CENTRE PresentationSpace Situational Awareness Forum - GERMAN AEROSPACE CENTRE Presentation
Space Situational Awareness Forum - GERMAN AEROSPACE CENTRE Presentation
Space_Situational_Awareness
 
Barcelona Supercomputing Center, Generador de Riqueza
Barcelona Supercomputing Center, Generador de RiquezaBarcelona Supercomputing Center, Generador de Riqueza
Barcelona Supercomputing Center, Generador de Riqueza
Facultad de Informática UCM
 
ExtremeEarth Open Workshop - Overview and Achievements
ExtremeEarth Open Workshop - Overview and AchievementsExtremeEarth Open Workshop - Overview and Achievements
ExtremeEarth Open Workshop - Overview and Achievements
ExtremeEarth
 
637124main staehle presentation
637124main staehle presentation637124main staehle presentation
637124main staehle presentation
Clifford Stone
 
Towards Exascale Simulations of Stellar Explosions with FLASH
Towards Exascale  Simulations of Stellar  Explosions with FLASHTowards Exascale  Simulations of Stellar  Explosions with FLASH
Towards Exascale Simulations of Stellar Explosions with FLASH
Ganesan Narayanasamy
 
PolSDP - 29May13
PolSDP - 29May13PolSDP - 29May13
PolSDP - 29May13
Shaunak De
 
Career Showcase
Career ShowcaseCareer Showcase
Career Showcase
wxmanmike
 
Implementation and integration of GPU-accelerated easyWave for instant tsunam...
Implementation and integration of GPU-accelerated easyWave for instant tsunam...Implementation and integration of GPU-accelerated easyWave for instant tsunam...
Implementation and integration of GPU-accelerated easyWave for instant tsunam...
Martin Hammitzsch
 
DSD-INT 2015 - RSS Sentinel Toolbox - J. Manuel Delgado Blasco
DSD-INT 2015 - RSS Sentinel Toolbox - J. Manuel Delgado BlascoDSD-INT 2015 - RSS Sentinel Toolbox - J. Manuel Delgado Blasco
DSD-INT 2015 - RSS Sentinel Toolbox - J. Manuel Delgado Blasco
Deltares
 
EOSDIS Status
EOSDIS StatusEOSDIS Status
Rs satellites catelogue 2012
Rs satellites catelogue 2012Rs satellites catelogue 2012
Rs satellites catelogue 2012
Atiqa Khan
 
TU2.T10.1.pptx
TU2.T10.1.pptxTU2.T10.1.pptx
TU2.T10.1.pptx
grssieee
 
TGS Arcis Canada Processing Services brochure
TGS Arcis Canada Processing Services brochureTGS Arcis Canada Processing Services brochure
TGS Arcis Canada Processing Services brochure
TGS
 
TGS Arcis- Canada Arcis Processing Services Brochure
TGS Arcis- Canada Arcis Processing Services BrochureTGS Arcis- Canada Arcis Processing Services Brochure
TGS Arcis- Canada Arcis Processing Services Brochure
TGS
 

What's hot (15)

AI models for Ice Classification - ExtremeEarth Open Workshop
AI models for Ice Classification - ExtremeEarth Open WorkshopAI models for Ice Classification - ExtremeEarth Open Workshop
AI models for Ice Classification - ExtremeEarth Open Workshop
 
Space Situational Awareness Forum - GERMAN AEROSPACE CENTRE Presentation
Space Situational Awareness Forum - GERMAN AEROSPACE CENTRE PresentationSpace Situational Awareness Forum - GERMAN AEROSPACE CENTRE Presentation
Space Situational Awareness Forum - GERMAN AEROSPACE CENTRE Presentation
 
Barcelona Supercomputing Center, Generador de Riqueza
Barcelona Supercomputing Center, Generador de RiquezaBarcelona Supercomputing Center, Generador de Riqueza
Barcelona Supercomputing Center, Generador de Riqueza
 
ExtremeEarth Open Workshop - Overview and Achievements
ExtremeEarth Open Workshop - Overview and AchievementsExtremeEarth Open Workshop - Overview and Achievements
ExtremeEarth Open Workshop - Overview and Achievements
 
637124main staehle presentation
637124main staehle presentation637124main staehle presentation
637124main staehle presentation
 
Towards Exascale Simulations of Stellar Explosions with FLASH
Towards Exascale  Simulations of Stellar  Explosions with FLASHTowards Exascale  Simulations of Stellar  Explosions with FLASH
Towards Exascale Simulations of Stellar Explosions with FLASH
 
PolSDP - 29May13
PolSDP - 29May13PolSDP - 29May13
PolSDP - 29May13
 
Career Showcase
Career ShowcaseCareer Showcase
Career Showcase
 
Implementation and integration of GPU-accelerated easyWave for instant tsunam...
Implementation and integration of GPU-accelerated easyWave for instant tsunam...Implementation and integration of GPU-accelerated easyWave for instant tsunam...
Implementation and integration of GPU-accelerated easyWave for instant tsunam...
 
DSD-INT 2015 - RSS Sentinel Toolbox - J. Manuel Delgado Blasco
DSD-INT 2015 - RSS Sentinel Toolbox - J. Manuel Delgado BlascoDSD-INT 2015 - RSS Sentinel Toolbox - J. Manuel Delgado Blasco
DSD-INT 2015 - RSS Sentinel Toolbox - J. Manuel Delgado Blasco
 
EOSDIS Status
EOSDIS StatusEOSDIS Status
EOSDIS Status
 
Rs satellites catelogue 2012
Rs satellites catelogue 2012Rs satellites catelogue 2012
Rs satellites catelogue 2012
 
TU2.T10.1.pptx
TU2.T10.1.pptxTU2.T10.1.pptx
TU2.T10.1.pptx
 
TGS Arcis Canada Processing Services brochure
TGS Arcis Canada Processing Services brochureTGS Arcis Canada Processing Services brochure
TGS Arcis Canada Processing Services brochure
 
TGS Arcis- Canada Arcis Processing Services Brochure
TGS Arcis- Canada Arcis Processing Services BrochureTGS Arcis- Canada Arcis Processing Services Brochure
TGS Arcis- Canada Arcis Processing Services Brochure
 

Similar to National Polar-orbiting Operational Environmental Satellite System (NPOESS)

Overview and Status of HDF in NPOESS & NPP
Overview and Status of HDF in NPOESS & NPPOverview and Status of HDF in NPOESS & NPP
Overview and Status of HDF in NPOESS & NPP
The HDF-EOS Tools and Information Center
 
HDF5 for NPOESS Data Products
HDF5 for NPOESS Data ProductsHDF5 for NPOESS Data Products
HDF5 for NPOESS Data Products
The HDF-EOS Tools and Information Center
 
Activities of Smart Ship Application Platform 2 Project (SSAP2)
Activities of Smart Ship Application Platform 2 Project (SSAP2)Activities of Smart Ship Application Platform 2 Project (SSAP2)
Activities of Smart Ship Application Platform 2 Project (SSAP2)
MTI Co., Ltd.
 
Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...
Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...
Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...
The HDF-EOS Tools and Information Center
 
TransPAC3/ACE Measurement & PerfSONAR Update
TransPAC3/ACE Measurement & PerfSONAR UpdateTransPAC3/ACE Measurement & PerfSONAR Update
TransPAC3/ACE Measurement & PerfSONAR Update
International Networking at Indiana University
 
Navy Integrated Tactical Environmental System (NITES2)
Navy Integrated Tactical Environmental System (NITES2)Navy Integrated Tactical Environmental System (NITES2)
Navy Integrated Tactical Environmental System (NITES2)
guest4a1658
 
Low rate information transmission (lrit).pdf
Low rate information transmission (lrit).pdfLow rate information transmission (lrit).pdf
Low rate information transmission (lrit).pdf
webadminjk
 
Nomads
NomadsNomads
Nomads
SD Paul
 
GLORIAD's New Measurement and Monitoring System
GLORIAD's New Measurement and Monitoring SystemGLORIAD's New Measurement and Monitoring System
GLORIAD's New Measurement and Monitoring System
Ed Dodds
 
1 IGARSS 2011 JPSS Monday Goldberg.pptx
1 IGARSS 2011 JPSS Monday Goldberg.pptx1 IGARSS 2011 JPSS Monday Goldberg.pptx
1 IGARSS 2011 JPSS Monday Goldberg.pptx
grssieee
 
THE THERMAL INFRARED SENSOR ON THE LANDSAT DATA CONTINUITY MISSION.pdf
THE THERMAL INFRARED SENSOR ON THE LANDSAT DATA CONTINUITY MISSION.pdfTHE THERMAL INFRARED SENSOR ON THE LANDSAT DATA CONTINUITY MISSION.pdf
THE THERMAL INFRARED SENSOR ON THE LANDSAT DATA CONTINUITY MISSION.pdf
MuhammadMuhaimin54
 
Application packaging and systematic processing in earth observation exploita...
Application packaging and systematic processing in earth observation exploita...Application packaging and systematic processing in earth observation exploita...
Application packaging and systematic processing in earth observation exploita...
terradue
 
Managing the Robotics Organization with Robotics – IoT
Managing the Robotics Organization with Robotics – IoTManaging the Robotics Organization with Robotics – IoT
Managing the Robotics Organization with Robotics – IoT
Rising Media, Inc.
 
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...
Tal Lavian Ph.D.
 
WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...
WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...
WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...
grssieee
 
AGU_Iguassu_Brazil_AUG
AGU_Iguassu_Brazil_AUGAGU_Iguassu_Brazil_AUG
AGU_Iguassu_Brazil_AUG
Jordan Alpert
 
romania_oostende.ppt
romania_oostende.pptromania_oostende.ppt
romania_oostende.ppt
FARAJ16
 
Mobile CDS LTE Simulation Demo
Mobile CDS LTE Simulation Demo Mobile CDS LTE Simulation Demo
Mobile CDS LTE Simulation Demo
Dr. Edwin Hernandez
 
CLIM Program: Remote Sensing Workshop, Satellites and Stovepipes - Jay Morris...
CLIM Program: Remote Sensing Workshop, Satellites and Stovepipes - Jay Morris...CLIM Program: Remote Sensing Workshop, Satellites and Stovepipes - Jay Morris...
CLIM Program: Remote Sensing Workshop, Satellites and Stovepipes - Jay Morris...
The Statistical and Applied Mathematical Sciences Institute
 
Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage
 Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage
Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage
hydrologyproject001
 

Similar to National Polar-orbiting Operational Environmental Satellite System (NPOESS) (20)

Overview and Status of HDF in NPOESS & NPP
Overview and Status of HDF in NPOESS & NPPOverview and Status of HDF in NPOESS & NPP
Overview and Status of HDF in NPOESS & NPP
 
HDF5 for NPOESS Data Products
HDF5 for NPOESS Data ProductsHDF5 for NPOESS Data Products
HDF5 for NPOESS Data Products
 
Activities of Smart Ship Application Platform 2 Project (SSAP2)
Activities of Smart Ship Application Platform 2 Project (SSAP2)Activities of Smart Ship Application Platform 2 Project (SSAP2)
Activities of Smart Ship Application Platform 2 Project (SSAP2)
 
Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...
Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...
Content Framework for Operational Environmental Remote Sensing Data Sets: NPO...
 
TransPAC3/ACE Measurement & PerfSONAR Update
TransPAC3/ACE Measurement & PerfSONAR UpdateTransPAC3/ACE Measurement & PerfSONAR Update
TransPAC3/ACE Measurement & PerfSONAR Update
 
Navy Integrated Tactical Environmental System (NITES2)
Navy Integrated Tactical Environmental System (NITES2)Navy Integrated Tactical Environmental System (NITES2)
Navy Integrated Tactical Environmental System (NITES2)
 
Low rate information transmission (lrit).pdf
Low rate information transmission (lrit).pdfLow rate information transmission (lrit).pdf
Low rate information transmission (lrit).pdf
 
Nomads
NomadsNomads
Nomads
 
GLORIAD's New Measurement and Monitoring System
GLORIAD's New Measurement and Monitoring SystemGLORIAD's New Measurement and Monitoring System
GLORIAD's New Measurement and Monitoring System
 
1 IGARSS 2011 JPSS Monday Goldberg.pptx
1 IGARSS 2011 JPSS Monday Goldberg.pptx1 IGARSS 2011 JPSS Monday Goldberg.pptx
1 IGARSS 2011 JPSS Monday Goldberg.pptx
 
THE THERMAL INFRARED SENSOR ON THE LANDSAT DATA CONTINUITY MISSION.pdf
THE THERMAL INFRARED SENSOR ON THE LANDSAT DATA CONTINUITY MISSION.pdfTHE THERMAL INFRARED SENSOR ON THE LANDSAT DATA CONTINUITY MISSION.pdf
THE THERMAL INFRARED SENSOR ON THE LANDSAT DATA CONTINUITY MISSION.pdf
 
Application packaging and systematic processing in earth observation exploita...
Application packaging and systematic processing in earth observation exploita...Application packaging and systematic processing in earth observation exploita...
Application packaging and systematic processing in earth observation exploita...
 
Managing the Robotics Organization with Robotics – IoT
Managing the Robotics Organization with Robotics – IoTManaging the Robotics Organization with Robotics – IoT
Managing the Robotics Organization with Robotics – IoT
 
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...
 
WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...
WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...
WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...
 
AGU_Iguassu_Brazil_AUG
AGU_Iguassu_Brazil_AUGAGU_Iguassu_Brazil_AUG
AGU_Iguassu_Brazil_AUG
 
romania_oostende.ppt
romania_oostende.pptromania_oostende.ppt
romania_oostende.ppt
 
Mobile CDS LTE Simulation Demo
Mobile CDS LTE Simulation Demo Mobile CDS LTE Simulation Demo
Mobile CDS LTE Simulation Demo
 
CLIM Program: Remote Sensing Workshop, Satellites and Stovepipes - Jay Morris...
CLIM Program: Remote Sensing Workshop, Satellites and Stovepipes - Jay Morris...CLIM Program: Remote Sensing Workshop, Satellites and Stovepipes - Jay Morris...
CLIM Program: Remote Sensing Workshop, Satellites and Stovepipes - Jay Morris...
 
Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage
 Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage
Download-manuals-surface water-manual-sw-volume9designmanualdatatransferstorage
 

More from The HDF-EOS Tools and Information Center

Cloud-Optimized HDF5 Files
Cloud-Optimized HDF5 FilesCloud-Optimized HDF5 Files
Cloud-Optimized HDF5 Files
The HDF-EOS Tools and Information Center
 
Accessing HDF5 data in the cloud with HSDS
Accessing HDF5 data in the cloud with HSDSAccessing HDF5 data in the cloud with HSDS
Accessing HDF5 data in the cloud with HSDS
The HDF-EOS Tools and Information Center
 
The State of HDF
The State of HDFThe State of HDF
Highly Scalable Data Service (HSDS) Performance Features
Highly Scalable Data Service (HSDS) Performance FeaturesHighly Scalable Data Service (HSDS) Performance Features
Highly Scalable Data Service (HSDS) Performance Features
The HDF-EOS Tools and Information Center
 
Creating Cloud-Optimized HDF5 Files
Creating Cloud-Optimized HDF5 FilesCreating Cloud-Optimized HDF5 Files
Creating Cloud-Optimized HDF5 Files
The HDF-EOS Tools and Information Center
 
HDF5 OPeNDAP Handler Updates, and Performance Discussion
HDF5 OPeNDAP Handler Updates, and Performance DiscussionHDF5 OPeNDAP Handler Updates, and Performance Discussion
HDF5 OPeNDAP Handler Updates, and Performance Discussion
The HDF-EOS Tools and Information Center
 
Hyrax: Serving Data from S3
Hyrax: Serving Data from S3Hyrax: Serving Data from S3
Hyrax: Serving Data from S3
The HDF-EOS Tools and Information Center
 
Accessing Cloud Data and Services Using EDL, Pydap, MATLAB
Accessing Cloud Data and Services Using EDL, Pydap, MATLABAccessing Cloud Data and Services Using EDL, Pydap, MATLAB
Accessing Cloud Data and Services Using EDL, Pydap, MATLAB
The HDF-EOS Tools and Information Center
 
HDF - Current status and Future Directions
HDF - Current status and Future DirectionsHDF - Current status and Future Directions
HDF - Current status and Future Directions
The HDF-EOS Tools and Information Center
 
HDFEOS.org User Analsys, Updates, and Future
HDFEOS.org User Analsys, Updates, and FutureHDFEOS.org User Analsys, Updates, and Future
HDFEOS.org User Analsys, Updates, and Future
The HDF-EOS Tools and Information Center
 
HDF - Current status and Future Directions
HDF - Current status and Future Directions HDF - Current status and Future Directions
HDF - Current status and Future Directions
The HDF-EOS Tools and Information Center
 
H5Coro: The Cloud-Optimized Read-Only Library
H5Coro: The Cloud-Optimized Read-Only LibraryH5Coro: The Cloud-Optimized Read-Only Library
H5Coro: The Cloud-Optimized Read-Only Library
The HDF-EOS Tools and Information Center
 
MATLAB Modernization on HDF5 1.10
MATLAB Modernization on HDF5 1.10MATLAB Modernization on HDF5 1.10
MATLAB Modernization on HDF5 1.10
The HDF-EOS Tools and Information Center
 
HDF for the Cloud - Serverless HDF
HDF for the Cloud - Serverless HDFHDF for the Cloud - Serverless HDF
HDF for the Cloud - Serverless HDF
The HDF-EOS Tools and Information Center
 
HDF5 <-> Zarr
HDF5 <-> ZarrHDF5 <-> Zarr
HDF for the Cloud - New HDF Server Features
HDF for the Cloud - New HDF Server FeaturesHDF for the Cloud - New HDF Server Features
HDF for the Cloud - New HDF Server Features
The HDF-EOS Tools and Information Center
 
Apache Drill and Unidata THREDDS Data Server for NASA HDF-EOS on S3
Apache Drill and Unidata THREDDS Data Server for NASA HDF-EOS on S3Apache Drill and Unidata THREDDS Data Server for NASA HDF-EOS on S3
Apache Drill and Unidata THREDDS Data Server for NASA HDF-EOS on S3
The HDF-EOS Tools and Information Center
 
STARE-PODS: A Versatile Data Store Leveraging the HDF Virtual Object Layer fo...
STARE-PODS: A Versatile Data Store Leveraging the HDF Virtual Object Layer fo...STARE-PODS: A Versatile Data Store Leveraging the HDF Virtual Object Layer fo...
STARE-PODS: A Versatile Data Store Leveraging the HDF Virtual Object Layer fo...
The HDF-EOS Tools and Information Center
 
HDF5 and Ecosystem: What Is New?
HDF5 and Ecosystem: What Is New?HDF5 and Ecosystem: What Is New?
HDF5 and Ecosystem: What Is New?
The HDF-EOS Tools and Information Center
 
HDF5 Roadmap 2019-2020
HDF5 Roadmap 2019-2020HDF5 Roadmap 2019-2020

More from The HDF-EOS Tools and Information Center (20)

Cloud-Optimized HDF5 Files
Cloud-Optimized HDF5 FilesCloud-Optimized HDF5 Files
Cloud-Optimized HDF5 Files
 
Accessing HDF5 data in the cloud with HSDS
Accessing HDF5 data in the cloud with HSDSAccessing HDF5 data in the cloud with HSDS
Accessing HDF5 data in the cloud with HSDS
 
The State of HDF
The State of HDFThe State of HDF
The State of HDF
 
Highly Scalable Data Service (HSDS) Performance Features
Highly Scalable Data Service (HSDS) Performance FeaturesHighly Scalable Data Service (HSDS) Performance Features
Highly Scalable Data Service (HSDS) Performance Features
 
Creating Cloud-Optimized HDF5 Files
Creating Cloud-Optimized HDF5 FilesCreating Cloud-Optimized HDF5 Files
Creating Cloud-Optimized HDF5 Files
 
HDF5 OPeNDAP Handler Updates, and Performance Discussion
HDF5 OPeNDAP Handler Updates, and Performance DiscussionHDF5 OPeNDAP Handler Updates, and Performance Discussion
HDF5 OPeNDAP Handler Updates, and Performance Discussion
 
Hyrax: Serving Data from S3
Hyrax: Serving Data from S3Hyrax: Serving Data from S3
Hyrax: Serving Data from S3
 
Accessing Cloud Data and Services Using EDL, Pydap, MATLAB
Accessing Cloud Data and Services Using EDL, Pydap, MATLABAccessing Cloud Data and Services Using EDL, Pydap, MATLAB
Accessing Cloud Data and Services Using EDL, Pydap, MATLAB
 
HDF - Current status and Future Directions
HDF - Current status and Future DirectionsHDF - Current status and Future Directions
HDF - Current status and Future Directions
 
HDFEOS.org User Analsys, Updates, and Future
HDFEOS.org User Analsys, Updates, and FutureHDFEOS.org User Analsys, Updates, and Future
HDFEOS.org User Analsys, Updates, and Future
 
HDF - Current status and Future Directions
HDF - Current status and Future Directions HDF - Current status and Future Directions
HDF - Current status and Future Directions
 
H5Coro: The Cloud-Optimized Read-Only Library
H5Coro: The Cloud-Optimized Read-Only LibraryH5Coro: The Cloud-Optimized Read-Only Library
H5Coro: The Cloud-Optimized Read-Only Library
 
MATLAB Modernization on HDF5 1.10
MATLAB Modernization on HDF5 1.10MATLAB Modernization on HDF5 1.10
MATLAB Modernization on HDF5 1.10
 
HDF for the Cloud - Serverless HDF
HDF for the Cloud - Serverless HDFHDF for the Cloud - Serverless HDF
HDF for the Cloud - Serverless HDF
 
HDF5 <-> Zarr
HDF5 <-> ZarrHDF5 <-> Zarr
HDF5 <-> Zarr
 
HDF for the Cloud - New HDF Server Features
HDF for the Cloud - New HDF Server FeaturesHDF for the Cloud - New HDF Server Features
HDF for the Cloud - New HDF Server Features
 
Apache Drill and Unidata THREDDS Data Server for NASA HDF-EOS on S3
Apache Drill and Unidata THREDDS Data Server for NASA HDF-EOS on S3Apache Drill and Unidata THREDDS Data Server for NASA HDF-EOS on S3
Apache Drill and Unidata THREDDS Data Server for NASA HDF-EOS on S3
 
STARE-PODS: A Versatile Data Store Leveraging the HDF Virtual Object Layer fo...
STARE-PODS: A Versatile Data Store Leveraging the HDF Virtual Object Layer fo...STARE-PODS: A Versatile Data Store Leveraging the HDF Virtual Object Layer fo...
STARE-PODS: A Versatile Data Store Leveraging the HDF Virtual Object Layer fo...
 
HDF5 and Ecosystem: What Is New?
HDF5 and Ecosystem: What Is New?HDF5 and Ecosystem: What Is New?
HDF5 and Ecosystem: What Is New?
 
HDF5 Roadmap 2019-2020
HDF5 Roadmap 2019-2020HDF5 Roadmap 2019-2020
HDF5 Roadmap 2019-2020
 

Recently uploaded

Y-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PPY-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PP
c5vrf27qcz
 
"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota
Fwdays
 
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansBiomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Neo4j
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
panagenda
 
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframeDigital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Precisely
 
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsConnector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
DianaGray10
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
Neo4j
 
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Zilliz
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Brandon Minnick, MBA
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
akankshawande
 
What is an RPA CoE? Session 1 – CoE Vision
What is an RPA CoE?  Session 1 – CoE VisionWhat is an RPA CoE?  Session 1 – CoE Vision
What is an RPA CoE? Session 1 – CoE Vision
DianaGray10
 
Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
Jakub Marek
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
Zilliz
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Edge AI and Vision Alliance
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green MasterplanJavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
Miro Wengner
 
Apps Break Data
Apps Break DataApps Break Data
Apps Break Data
Ivo Velitchkov
 
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptxNordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
MichaelKnudsen27
 
5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides
DanBrown980551
 

Recently uploaded (20)

Y-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PPY-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PP
 
"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota
 
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansBiomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
 
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframeDigital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
 
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsConnector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
 
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
 
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptxChoosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
 
What is an RPA CoE? Session 1 – CoE Vision
What is an RPA CoE?  Session 1 – CoE VisionWhat is an RPA CoE?  Session 1 – CoE Vision
What is an RPA CoE? Session 1 – CoE Vision
 
Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green MasterplanJavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
 
Apps Break Data
Apps Break DataApps Break Data
Apps Break Data
 
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptxNordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
 
5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides
 

National Polar-orbiting Operational Environmental Satellite System (NPOESS)

  • 1. National Polar-orbiting Operational Environmental Satellite System (NPOESS) (Excerpts from) An Introduction to NPOESS presented at IGARSS 2003 Toulouse, France Integrated Program Off ice July 22, 2003 July 22, 2003 1
  • 2. A Tri-agency Effort to Leverage and Combine Environmental Satellite Activities METOP Mission Provide a national, operational, polarorbiting remote-sensing capability NPOESS NPOESS Achieve National Performance Review (NPR) savings by converging DoD and NOAA satellite programs 0530 0930 Incorporate new technologies from NASA Encourage International Cooperation Specialized Satellites 1330 Local Equatorial Crossing Time NPOESS Saves as much as $1.3B from the cost of previously planned separate developments July 22, 2003 2
  • 3. IORD Content Example Sea Surface Temperature (SST) • Sea Surface Temperature is defined as a highly precise measurement of the temperature of the surface layer (upper 1 meter) of ocean water. It has two major applications: 1) sea surface phenomenology, and 2) use in infrared cloud/no cloud decision for processed cloud data. The accompanying requirements apply only under clear conditions (unless specified otherwise). July 22, 2003 3
  • 4. NPOESS EDR-to-Sensor Mapping 55 Product Sets [RDR, SDR, EDR] Atmospheric Vertical Moisture Profile Atmospheric Vertical Temp Profile Imagery Sea Surface Temperature Sea Surface Winds Soil Moisture Aerosol Optical Thickness Aerosol Particle Size Aerosol Refractive Index Albedo (Surface) Auroral Boundary Auroral Energy Deposition Auroral Imagery Cloud Base Height Cloud Cover/Layers Cloud Effective Particle Size Cloud Ice Water Path Cloud Liquid Water Cloud Optical Thickness Cloud Particle Size/Distribution Cloud Top Height Cloud Top Pressure Cloud Top Temperature Downward Longwave Radiance (Sfc) Downward Shortwave Radiance(Sfc) Electric Field Electron Density Profile Energetic Ions Geomagnetic Field Ice Surface Temperature In-situ Plasma Fluctuations In-situ Plasma Temperature Ionospheric Scintillation Medium Energy Charged Particles Land Surface Temperature Net Heat Flux Net Solar Radiation (TOA) Neutral Density Profile Color/Chlorophyll Ocean Wave Characteristics Outgoing Longwave Radiation (TOA) Ozone - Total Column/Profile Precipitable Water Precipitation Type/Rate Pressure (Surface/Profile) Sea Ice Characterization Sea Surface Height/Topography Snow Cover/Depth Solar Irradiance Supra-Thermal-Auroral Particles Surface Type Wind Stress Suspended Matter Total Water Content Vegetation Index VIIRS (23) CMIS (19) CrIS/ATMS (3) OMPS (1) SES (13) GPSOS (2) ERBS (5) TSIS (1) ALTIMETER (3) APS (4) Environmental Data Records (EDRs) with Key Performance Parameters July 22, 2003 4
  • 5. NPOESS Overview • Contract was awarded on August 23, 2002 to Northrop Grumman Space Technology • Contract consists of: – 6 satellites • Taking over all government instrument contracts • Buying all “leveraged” instruments • Integrating GFE instruments (ADCS and SARSAT) – Building and deploying all ground systems • C3 and data retrieval • Data processing hardware and software – Software for worldwide users – Operating system through IOC (2011) • with option to 2018 July 22, 2003 5
  • 6. NPOESS Top Level Architecture GPS NPP (1030) NPOESS 1330 NPOESS 1730 Low Rate Data/ High Rate Data (LRD/HRD) Space Segment Command & Control Segment Alternate MMC Alternate MMC at Schriever AFB at Schriever AFB NPOESS 2130 Svalbard Svalbard Field Terminal Segment 15 Globally Distributed 15 Globally Distributed Receptor Sites Receptor Sites FNMOC Mission Management Mission Management Center (MMC) Center (MMC) at Suitland at Suitland NPP Data & Control Flow Data Quality SMD/HRD LRD Data Latency SMD HRD/LRD Data Availability NAVOCEANO NPP Science Data Segment CLASS ADS AFWA NESDIS/NCEP Interface Data Processing Segment NPOESS Data & Control Flow CLASS NOAA Comprehensive Large Array Data Stewardship System ADS NPP Archive & Distribution Seg 128 attributes above, 724 at, 7 below threshold 305 attributes above, 180 at, 0 below threshold Threshold Objective Operational Availability July 22, 2003 6
  • 7. NPOESS Satellite CMIS ATMS CrIS VIIRS OMPS ERBS NPOESS 1330 Configuration Single satellite design with common sensor locations July 22, 2003 VIIRS - vis/IR imager CMIS - µwave imager CrIS - IR sounder ATMS - µwave sounder SESS - space environment GPSOS - GPS occultation OMPS - ozone ADCS - data collection SARSAT - search & rescue APS - aerosol polarimeter ERBS - Earth radiation budget SS - laser sensor ALT - altimeter TSIS - solar irradiance VIIRS CMIS CrIS ATMS SESS GPSOS OMPS ADCS SARSAT ERBS SS ALT TSIS 1330 X X X X X X X X X X X 1730 X X X X X X X 2130 X X X X X X 7
  • 9. Segment Approach • • • July 22, 2003 High performance computing hardware – Each Central has a complete system (IDP) that will generate all products within required latencies – Each IDPS or Central contains an Operations string, an Integration and Test (I&T) string, and shared disk arrays (RAID) – Operations string carries 100% reserve capacity and additional availability processors – I&T string can be used for integration and test of new software, support for technology insertion, parallel operations, failover, and algorithm development Modular, workflow managed software – Receives multiple data streams from C3S, processes data into RDRs, SDRs, TDRs, and EDRs, packages products into form useful for Centrals, and delivers requested products to end users – Centrals have control over what products are created, which ancillary data sets are used, and how products are delivered Same software is used in field terminals – Will be made available worldwide via download from the internet 9
  • 10. IDPS Functional Diagram SDR/TDR Generation Ingest Subsystem DRR SMD Auxiliary Data Ancillary Data Ancilla ry Data Ingest Sensor Data Ingest Auxiliary Data Ingest Ancillary Distribute Data Ancillary Data Other IDPs C3S RDR RDR SDR EDR All Internal Data Types Ancil Data Requests Data Delivery Subsystem xDR Data Data formatted to Centrals External Format All Internal Data Types On-Line Data Storage Ancil External Formatted Data Data Management Subsystem Process Initiation Processing Directives Cal/Val Subsystem Processing Status & Control Production and infrastructure management Communication services and utilities Infrastructure Subsystem Enterprise Management IDP Operator July 22, 2003 Ancil Auxil Tool Kits Cache Data Mgmt Service Auxil Work Flow Scheduling Coordination Schedule Processing History SDR Processing Subsystem EDR Generation Centrals ADS SDS CLASS C3S NPOESS Enterprise Management Status and Control LUTs CCB/Ingest Cal/Val Operator 10
  • 11. NPOESS Algorithms as Key Inputs to User Models Payload IPT Science Algorithm Development/ Procurement SE IPT Correction requests • Incomplete delivery • Non-compliant products • Failure Analysis Sensor and Operating Environment Characterization Delivered Science Algorithms • ATBD • Science-grade code • Test Sets Science Algorithm Verification Verified Science Algorithms • ATBD • Science-grade code • Test Sets • OADs IDPS IPT Science to Operational Algorithms Operational Science Discrepancy Reports • Operational Algorithm Document • Timeliness failure Algorithm Migration • Operational-grade code • Quality failure ST&E IPT • EDR Test output Operational Verification Operational Test Reports Verified Operational Algorithms • Pass Algorithm • Operational-grade code • Fail Performance - Timeliness failure Verification - Quality failure Calibrated/Validated ST&E IPT Operational Algorithms Specific IPTs have responsibility and budget for assigned algorithm activities within program phases July 22, 2003 • Discrepancy reports • New calibration coefficients Operational Algorithm Cal/Val Discrepancy Reports • Operation • Performance • Calibration Coefficients • Operational-grade code O&S IPT User Operational Algorithm Assessment 11
  • 12. Data and Metadata • Metadata being defined consistent with – National Spatial Data Infrastructure standards – operational and archival users needs • Data files being defined consistent with an NPOESS profile – lessons learned – operational and archival users needs – basic HDF feature set – consistency across products September 23, July 22, 2003 2003 12
  • 13. Integrated Program Office Web sites NPOESS Websites –http://www.npoess.noaa.gov –http://npoesslib.ipo.noaa.gov/ (electronic bulletin board) July 22, 2003 13