Wang, Menghua: NOAA/NESDIS/STAR (Project Lead)
Project Funding:
2011 - 2014
NRA: 2010 NASA: NPP Science Team for Climate Data Records
Funded by NASA
Abstract:
This proposal is for a NOAA team to support and participate in the NASA NPP ocean color science team activities, leveraging some funded calibration and validation work from the VIIRS ocean color Cal/Val program. The principal investigator (PI) will continue to serve as a science team member for the NASA NPP/NPOESS VIIRS. In addition, continued efforts on evaluation, assessment, and identification of needed improvements of the atmospheric correction algorithm for the NPP VIIRS ocean color EDRs, i.e., the normalized water-leaving radiance spectra data (nLw), are proposed. The objectives are to refine the current atmospheric correction algorithm (with the near-infrared (NIR) method) for a better performance in the open oceans and to improve the VIIRS ocean color data quality for the coastal regions using the shortwave infrared (SWIR) atmospheric correction method. It has been shown that the SWIR-based algorithms can derive significantly improved MODIS-Aqua ocean color products in the coastal turbid waters. Thus, the NIR-SWIR based VIIRS ocean color data processing can be used to evaluate and assess the performance of the VIIRS standard algorithm (from Northrop Grumman) for various open oceans and coastal regions. Furthermore, the diffuse attenuation coefficient at the wavelength of 490 nm (Kd(490)), which is an important water property related to light penetration and availability in aquatic systems, will be generated for NPP VIIRS. Particularly, the proposed new Kd(490) data for NPP VIIRS are valid for both open oceans and coastal turbid waters, providing the continuation of Kd(490) data records from the NASA heritage ocean color sensors.
2011 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)
- VIIRS Operational Ocean Color Data Processing Using the Algorithm Development Library (ADL)
-- (Xiaoming Liu, Lide Jiang, Menghua Wang)
[abstract]
More details may be found in the following project profile(s):
