HR: 10:50h
AN: H31F-03    [PDF]
TI: Synergistic use of MODIS cloud products and AIRS radiance measurements for retrieval of cloud parameters
AU: * Li, J
EM: Jun.Li@ssec.wisc.edu
AF: Cooperative Institute for Meteorological Satellite Studies, 1225 West Dayton Street, Madison, WI 53706 United States
AU: Menzel, W
EM: Paul.Menzel@ssec.wisc.edu
AF: Office of Research and Applications, 1225 West Dayton Street, Madison, WI 53706 United States
AU: Sun, F
EM: Fengying.Sun@ssec.wisc.edu
AF: Cooperative Institute for Meteorological Satellite Studies, 1225 West Dayton Street, Madison, WI 53706 United States
AU: Schmit, T
EM: TimS@ssec.wisc.edu
AF: Office of Research and Applications, 1225 West Dayton Street, Madison, WI 53706 United States
AB: The Moderate-Resolution Imaging Spectroradiometer (MODIS) and Atmospheric Infrared Sounder (AIRS) measurements from the Earth Observing System's (EOS) Aqua satellite will enable global monitoring of the distribution of clouds. MODIS is able to provide at high spatial resolution (1 ~ 5km) the cloud mask, surface and cloud types, cloud phase, cloud-top pressure (CTP), effective cloud amount (ECA), cloud particle size (CPS), and cloud water path (CWP). AIRS is able to provide CTP, ECA, CPS, and CWP within the AIRS footprint with much better accuracy using its greatly enhanced hyperspectral remote sensing capability. The combined MODIS / AIRS system offers the opportunity for cloud products improved over those possible from either system alone. The algorithm developed was applied to process the AIRS longwave cloudy radiance measurements; results are compared with MODIS cloud products, as well as with the Geostationary Operational Environmental Satellite (GOES) sounder cloud products, to demonstrate the advantage of synergistic use of high spatial resolution MODIS cloud products and high spectral resolution AIRS sounder radiance measurements for optimal cloud retrieval. Data from ground-based instrumentation at the Atmospheric Radiation Measurement (ARM) Program Cloud and Radiation Test Bed (CART) in Oklahoma were used for the validation; results show that AIRS improves the MODIS cloud products in certain cases such as low-level clouds.
DE: 1640 Remote sensing
DE: 1704 Atmospheric sciences
SC: Hydrology [H]
MN: 2003 Fall Meeting