HR: 1400h
AN: OS33A-06    [Abstracts]
TI: Sea Surface Global Climate Datasets With Compatible High Resolutions
AU: * Zhang, H
EM: huai-min.zhang@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
AU: Reynolds, R W
EM: richard.w.reynolds@noaa.gov
AF: NOAA National Climatic Data Center, 151 Patton Avenue, Asheville, NC 28801, United States
AB: Present day global ocean observing system consists of multiple satellites and in-situ platforms. Blending of these observations has made it possible to produce gridded global climate datasets with increasingly higher resolutions that are demanded by the research and operational forecast communities. However, caution must be exercised when producing and utilizing global high resolution products: under-sampling could result in significant alias errors for variables with higher frequency variability. The resolutions of the blended products have to be compatible with the available observational data density or frequency. In this paper we present a case study, taking sea surface wind speed as an example. Sea surface wind speed has been observed from multiple satellites and in-situ instruments. These long-term satellites ranged from one DMSP (the Defense Meteorological Satellite Program) satellite (F08) in mid 1987 to the present six or more satellites since June 2002. We shall show that on a global 0.25° grid, blended products with temporal resolutions of 6-hours, 12-hours and daily have become feasible since mid 2002, mid 1995 and January 1991, respectively (with greater than 75 percent time coverage and greater than 90 percent spatial coverage between 65°S-65°N). Thus, for a uniform long-term climate product on a global 0.25° grid and over the whole time period (July 1987 to present), a near Gaussian 3-D (x, y, t) interpolation was used with the spatial and time windows of 125 km and 12-hours. To take advantage of the high data density of the later years (since mid 2002), 4 times per day snapshots have been generated. Documentation of the feasibility study, data production, data visualization, sub-setting and downloading can be obtained at: http:www.ncdc.noaa.gov/oa/satellite.html; http:nomads.ncdc.noaa.gov:8085/las/servlets/dataset; ftp:eclipse.ncdc.noaa.gov/pub. Our analysis shows that the unique sampling times of the AMSR-E are largely responsible for the feasibility of producing 6-hourly products, filling the gaps between the DMSP satellites that tend to cluster together. Even spacing should be addressed in future satellite missions, as has been done in NPOESS to some extent.
DE: 1626 Global climate models (3337, 4928)
DE: 1635 Oceans (1616, 3305, 4215, 4513)
DE: 1640 Remote sensing (1855)
DE: 4954 Sea surface temperature
SC: Ocean Sciences [OS]
MN: 2007 Joint Assembly