Title: STAR Overview Briefing
1Center for Satellite Applications and Research
(STAR)
NOAA Contributions to Satellite Calibration and
the need for a National and International
Framework
Al Powell, Director
2Outline
- STARs Mission and Activities
- Challenges
- NOAA-NIST program to address satellite
calibration issues for climate
3STARs Mission
- To provide NOAA with scientific research and
development that transitions state-of-the-art
satellite data systems, products, and services
to operations for use by land, atmosphere, ocean,
and climate user communities.
4STAR Activities
- STAR is engaged in product development,
readiness, and applications with respect to
satellites and satellite data - STARs responsibilities include
- Developing algorithms and prototype software
systems that are transitioned into the production
of operational environmental satellite products - Monitoring and improving instrument calibration
- Validating and analyzing products for weather and
climate applications - Overseeing the development of future satellite
instruments and their requirements specifications - STAR utilizes collaborative environments for
product development - Faster research to operations
- Interconnectivity across multiple satellite
programs and NOAA offices
5STAR USER Community Connections
Decision makers, educators, analysts, farmers,
pilots, ...
National Center for Environmental Prediction
NOAA Goals Supported
Weather Water
Ecosystems
Critical Mission Support
Commerce Transportation
Climate
NOAA Acquisition Programs NPOESS (IVV) GOES-R
(AWG RR)
International Collaboration CGMS, WMO,
EUMETSAT Bilateral Agreements China, India
STAR
NOAA Projects NPOESS Data Exploitation
(NDE) Scientific Data Stewardship
NOAA Programs Corals, Climate, Ocean, etc
NASA
EPA
Air Force
NAVY
ARMY
6Mission Support to NOAA Programs
- Ecosystems
- NOAA CoastWatch Program
- Real-time distribution of regional SST, Ocean
Color and Ocean Winds - Coral Reef Watch Program
- Climate
- Integrated Climate Data Record Program
- Improved calibrated radiances
- Time Series of Ozone , Vegetation Condition
(Drought), Hydrology, Temperature, Moisture,
Radiation Budget, Clouds, Aerosols, and Carbon - Reanalysis Project
- Data assimilation algorithms
- Radiative transfer models
7Mission Support to NOAA Programs
- Weather and Water
- Joint Center for Satellite Data Assimilation
- Radiative transfer models
- Surface emissivity models
- Cloud cleared hyperspectral infrared radiances
- Satellite Derived Winds
- Surface conditions
- Hazards
- Air Quality
- Forest Fires/Biomass Burning
- Commerce and Transportation
- Aviation Weather Satellite Applications
- Clear-sky turbulence
- Convective cloud conditions
- Icing
- Volcanic Ash
8STAR Support
9Support to Existing Observing Systems
- Calibration and validation across systems
- Pre-launch and post-launch support
- Data quality and algorithm improvement
Intersatellite Calibration
Instrument Calibration
In-Situ Systems
Product Validation
10SUPPORT TO PROTOTYPE AND QUASI-OPERATIONAL SYSTEMS
11Support to Future Observing Systems
GOES-R and NPOESS are the next generation of
environmental satellites. STARs work will
ensure data continuity and advanced products to
the benefit of all users
- Provide services to ensure accurate instrument
data and algorithms from future sensors,
involving - calibration and validation
- algorithm development
- instrument performance specifications
- For
- Metop Instrument Functional Chain Teams (IFCT)
- NPOESS Operational Algorithm Teams (OAT)
- GOES-R Algorithm Working Group and Risk Reduction
Plan - Risk Reduction applied to acquisition programs,
quasi-operational data use from non-NOAA
satellites - Developing data reduction techniques for user
assimilation of hyperspectral data and climate
data records
12Next Generation NOAA Satellite Observing Systems
13 Future Challenges
- New satellites sensors, both domestic and
international, will create new challenges - Continuity of past, present, and future data for
climate data records, calibration accuracy,
stability of satellite sensors, reprocessing and
analysis of long-term series for reproducible
results - Data assimilation methodologies for weather,
climate, and oceans - Hyperspectral technology applied to radiative
transfer models and interpretation of spectral
signatures - New applications from advanced sensors, including
water and air quality, trace gas monitoring, and
coastal and ocean forecasts - Generating blended products and
multi-disciplinary algorithm development in
support of GEOSS - Working in a collaborative environment as new
operational and research satellite data becomes
available
14NOAA-NIST Joint Program Plan
Climate Calibration and Measurement
15Goal
- Reduced measurement uncertainties to meet climate
monitoring requirements - ?Accurate climate information for sound policy
decisions - Program Strategy
- NOAA and NIST partnership to leverage
complementary expertise to broadened DoC
portfolio on climate change - Technical Strategy
- Improved instrument characterization and
calibration - Aerosols greenhouse gas measurements and
standards - Reference sites and satellite intercalibration
16BackgroundWhat is the problem?
- Unreliable estimates of climate trends due to
uncertainties in - pre-launch and post-launch characterization and
standards - instrument inter-calibration
- physical and chemical properties of atmospheric
constituents - No joint strategy to leverage DOCs unique
capabilities to address these uncertainties - Lack of a framework to relate climate
observations with international standards to
provide climate change information to
policymakers
17Requirements are not being met!
Example Total Solar Irradiance
Total Solar Irradiance W/m2
Year
Target Precision 0.3 W m-2
Target Accuracy 1 W m-2
18 Aerosols and GHGs are not understood
19What are the challenges?
- Instruments are complex and operate in a hostile
environment. - Opportunities to modify space instrumentation
problems are on decadal scale. - Integration of multiple observations
- different instruments
- different spectral ranges
- long time periods
- Gaps in critical chemical physical reference
data (e.g. aerosols, Volatile Organic Compounds
(VOCs), GreenHouse Gases (GHG)).
20 Why a NOAA NIST Partnership?
- DoC is the lead agency on Global Climate Change
- Leverages NISTs core competencies in measurement
science and standards - Leverages NOAAs core competencies in climate
monitoring and satellite remote sensing - Partnership will ensure accurate climate data to
underpin policy decisions
21NOAA-NIST Climate Calibration Measurement
Program
GOAL Reduced measurement uncertainties to meet
climate monitoring requirements
NOAA Lead
NIST Lead
In current NOAA program
IASI GHG maps (CO2, CO,
CH4)
CrIS GHG maps
VIIRS aerosol maps
Climate monitoring measurements, including
aerosols GHG
DATA MANAGEMENT
METOP/IASI cal/val system
Cal/Val Framework
NPP cal/val
system
NPOESS cal/val sys.
On-orbit cal/val and satellite intercalibration
Continue operations Marine
Optical Buoy (MOBY) for ocean color
Carbon
measurements from aircraft and towers coincident
with satellite
Benchmark balloon
measurements coincident with satellite overpass
Field campaigns
Reference sites vicarious calibration
Reference metrology standards for
critical atmospheric constituents
Reference data standards to validate
climate models
Lifecycles of aerosols
Mitigation Strategies
Chemical and physical reference standards for
aerosols GHGs
Pre-launch calibration standards
Post-launch calibration standards
Extra
terrestrial standards
Field standards
Standards for absolute instrument
characterization calibration
2008 2009 2010
2011 2012
22Benefits
- Accurate estimates of climate trends
- Joint strategy to leverage DOCs unique
capabilities - Framework to relate climate observations with
international standards - Ability to make sound policy decisions based on
accepted accurate information
23Next Steps
- Develop joint NOAA-NIST program plan on Climate
Calibration and Measurements - Develop a National Roadmap to include other
agencies and institutions - Part of a coordinated international WMO effort --
Global Space-based Intercalibration System
(GSICS)