GOES-R Proxy Data Management System
Tong Zhu, NOAA/NESDIS, Camp Springs, MD; and M. J. Kim, F. Weng, M. Goldberg, A. Huang, M. Sengupta, D. K. Zhou, and B. Ruston
The GOES-R Algorithm Working Group (AWG) program requests a high quality of proxy data for algorithm developments, testing and assessments. The central tasks in the proxy data management system will be the delivery of observation and simulation based GOES-R proxy data, the development of visualization tools for various proxy data, the design of a GOES-R Observing System Simulation Experiment (OSSE) framework for demonstrating the potential impacts of GOES-R data on NWP forecasts.
During the last one year, proxy data team has generated a series of datasets based on observations and NWP models. The observation datasets include measurements from SEVIRI, GOES-08/10, MODIS, SURFRAD, AERONET, NAST-I, and HIRS-X. Numerical models MM5, WRF, RAMS were used to produce atmospheric profiles. The JCSDA Community Radiative Transfer Model (CRTM) and CIMSS Fast Infrared Radiative Transfer Model have been used to simulate ABI measurements.
Recently, several new proxy datasets have been produced, including: 3 cases of ABI data derived from NAST-I with co-incident radiosondes and dropsondes; a 20-day full disk SEVIRI dataset in 2005 with NetCDF format; a 94-day hourly SEVIRI dataset during 2004, 2006 and 2007 AEROSE field campaigns; and a 16-day MODIS NDVI data across the USA in 2001. The GOES-R OSSE study is underway. This poster will give an update of all proxy datasets with focus on new proxy data activities.
Extended Abstract (172K)
Poster Session 1, Fifth GOES Users' Confererence Poster Session
Wednesday, 23 January 2008, 2:30 PM-4:00 PM, Exhibit Hall B
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