HR: 15:50h
AN: A23E-09    [Abstracts]
TI: Global High Resolution Sea Surface Flux Parameters From Multiple Satellites
AU: * Zhang, H
EM: huai-min.zhang@noaa.gov
AF: NOAA National Climatic Data Center, 151 Patton Avenue, Asheville, NC 28801, United States
AU: Reynolds, R W
EM: richard.w.reynolds@noaa.gov
AF: NOAA National Climatic Data Center, 151 Patton Avenue, Asheville, NC 28801, United States
AU: Shi, L
EM: lei.shi@noaa.gov
AF: NOAA National Climatic Data Center, 151 Patton Avenue, Asheville, NC 28801, United States
AU: Bates, J J
EM: john.j.bates@noaa.gov
AF: NOAA National Climatic Data Center, 151 Patton Avenue, Asheville, NC 28801, United States
AB: Advances in understanding the coupled air-sea system and modeling of the ocean and atmosphere demand increasingly higher resolution data, such as air-sea fluxes of up to 3 hourly and every 50 km. These observational requirements can only be met by utilizing multiple satellite observations. Generation of such high resolution products from multiple-satellite and in-situ observations on an operational basis has been started at the U.S. National Oceanic and Atmospheric Administration (NOAA) National Climatic Data Center. Here we describe a few products that are directly related to the computation of turbulent air-sea fluxes. Sea surface wind speed has been observed from in-situ instruments and multiple satellites, with long-term observations ranging from one satellite in the mid 1987 to six or more satellites since mid 2002. A blended product with a global 0.25° grid and four snapshots per day has been produced for July 1987 to present, using a near Gaussian 3-D (x, y, t) interpolation to minimize aliases. Wind direction has been observed from fewer satellites, thus for the blended high resolution vector winds and wind stresses, the directions are taken from the NCEP Re-analysis 2 (operationally run near real time) for climate consistency. The widely used Reynolds Optimum Interpolation SST analysis has been improved with higher resolutions (daily and 0.25°). The improvements use both infrared and microwave satellite data that are bias-corrected by in- situ observations for the period 1985 to present. The new versions provide very significant improvements in terms of resolving ocean features such as the meandering of the Gulf Stream, the Aghulas Current, the equatorial jets and other fronts. The Ta and Qa retrievals are based on measurements from the AMSU sounder onboard the NOAA satellites. Ta retrieval uses AMSU-A data, while Qa retrieval uses both AMSU-A and AMSU-B observations. The retrieval algorithms are developed using the neural network approach. Training datasets are constructed using co-located AMSU and buoy/ship data. Using the 2002 one-year data we will show that the RMSE for Ta is about 1.94°C. Data description, visualization, sub-setting and downloading in user preferred formats can be obtained at: http:nomads.ncdc.noaa.gov:8085/las/servlets/dataset; ftp:eclipse.ncdc.noaa.gov/pub; and http:www.ncdc.noaa.gov/oa/satellite.html.
DE: 0312 Air/sea constituent fluxes (3339, 4504)
DE: 1635 Oceans (1616, 3305, 4215, 4513)
DE: 4954 Sea surface temperature
SC: Atmospheric Sciences [A]
MN: 2007 Joint Assembly