CSU Project #: 5-31108
Sponsor: NOAA
Primary Investigator: Dr. Steve Miller
Start Date: July 1st, 2009
End Date: June 30th, 2014

• Quantification of striping on level 1 clear-sky top-of-atmosphere radiances and derived ocean products.
• Selecting a first-guess sea surface temperature as input to forward model.
• Development of new ocean color algorithm.
• Application of satellite ocean color for coastal and in-land water ecosystem monitoring.
• Processing and Validation/evaluation of the Geostationary Ocean Color Imager (GOCI) data.
• Development of bio-optical and biogeochemical algorithms for the satellite ocean color data use in the coastal waters.
• Processing and validation/evaluation of the JPSS VIIRS data.
• To identify, characterize and compare stable calibration targets in terms of radiometric, spectral and spatial aspects in order to reduce the uncertainty in measurement of Imaging Radiometers.
• GOES-R Proxy Data Development.
• GOES-R3, IR Land surface emissivity study.
• Joint Global OSSE Study.
• Operational reduction of striping on level 2 SST products generated with the ACSPO.
• Analysis ATMS Observations.
• Develop and validate the CRTM for visible, infrared, and microwave under various atmospheric (clear, aerosol, and cloudy sky) and surface conditions. Integrate new radiative transfer components into CRTM.
• Tests of CRTM in satellite data assimilation system GSI (Grid Statistical Interpolation).
• Developing the cloud radiance data assimilation components in the NCEP data assimilation system.
• Implementing cloud affected microwave radiance data assimilation in NCEP Global Data Assimilation System (GDAS) in operational mode.
• The objective of this project is to provide support for the validation of the future Land Surface Temperature (LST) products of the Geostationary Operational Environmental Satellite Series R (GOES-R) and Joint Polar Satellite System (JPSS) missions. A major challenge in utilizing in situ LST measurements for satellite-derived LST validation purposes lies in the “point” nature of ground-based LST measurements. That is, the field-of-view of the ground-based infrared thermometer or radiometer is typically much smaller than a single satellite pixel. To enable meaningful comparisons between in situ and satellite-derived LSTs, the aims of this project are twofold: 1) to characterize land surface properties in the vicinity validation sites, and 2) to develop a model for upscaling the in situ LST measurements to the spatial scale of a typical satellite pixel.
• Support JPSS NPP project. Add COMS/GOCI (Korean geostationary satellite, ocean color sensor) L1B processing capability to our NOAA MSL12 package. Support ocean color related studies.
• Continued development of MICROS for SST (version 5, temporarily placed at www.star.nesdis.noaa.gov/sod/sst/micros_v5), extending its functionality to include NASA Terra/Aqua MODerate-resolution Imaging Spectroradiometer (MODIS) and NASA/NOAA Suomi National Polar-orbiting Partnership (NPP; launched 28 October 2011) Visible/Infrared Imager Radiometer Suite (VIIRS), add interactive capabilities for flexible display of multiple platforms, improve the stability of the processing and web display, add standard deviation analysis, and other functionalities including proximity to coast, bathymetry, glint angle dependencies.
• Enhance the Aerosol Quality Monitor (AQUAM) functionality by adding self- and cross-platform consistency checks.
• Contribute to development/testing of new versions of the Advanced Clear-Sky Processor for Oceans (ACSPO; v2.0 and v2.1).
• Expand MICROS and AQUAM to international users by collaborating with the Global Space-based Inter-Calibration System (GSIS), Chinese Meteorological Agency (CMA) and Naval Research Laboratory (NRL).
• Inclusion of Standard Deviation Maps and Dependencies for the NPP-VIIRS, AQUA and TERRA-MODIS in MICROS.

• Satellite Algorithm Development, Training and Education
• Regional to Global Scale Modeling Systems
• Data Assimilation
• Climate-Weather Processes

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