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A Guide to Information on Greenhouse Gases and Ozone Depletion
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Item #d92may45

"Remote Sensing of Cloud, Aerosol and Water Vapor Properties from the Moderate Resolution Imaging Spectrometer (MODIS)," M.D. King (NASA-Goddard, Greenbelt MD 20771), Y.J. Kaufman et al., IEEE Trans. Geosci. Remote Sensing, 30(1), 2-27, Jan. 1992.

Describes the status of the MODIS instruments being developed for the Earth Observing System, and methods being developed for determining the optical, microphysical and physical properties of clouds and aerosol particles from spectral reflection and thermal emission measurements.

Item #d92may46

"Evaluation of Multichannel Sea Surface Temperature [MCSST] Product Quality for Climate Monitoring: 1982-1988," J.J. Bates (CMDL, NOAA, 325 Broadway, Boulder CO 80303), H.F. Diaz, J. Geophys. Res., 96(C11), 20,613-20,622, Nov. 15, 1991.

Satellite-derived MCSST data were evaluated relative to in situ data from the comprehensive ocean-atmosphere data set (COADS). Accurate monitoring of SST variability in the southern oceans requires satellite data, but because of the stringent accuracy requirements of SST data for climate monitoring, the utility of MCSST data alone for this purpose is only marginal.

Item #d92may47

"Using Sparse Raingauges to Test Satellite-Based Rainfall Algorithms," M.L. Morrissey (Meteor. Dept., Univ. Hawaii, Honolulu HI 96822), ibid., 96(D10), 18,561-18,571, Oct. 20, 1991.

Presents a statistical method for the development, calibration and verification of satellite-based rainfall algorithms, which is best applied over the open ocean regions. Illustrates the method using simulated rain fields, and uses it to calibrate a simple algorithm applied to Pacific atoll data.

Item #d92may48

"Multispectral Satellite Data in the Context of Land Surface Heat Balance," B.J. Choudhury (Hydrolog. Sci. Br., NASA-Goddard, Greenbelt MD 20771), Rev. Geophys., 29(2), 217-236, May 1991.

Reviews the use of satellite data to develop and apply highly sophisticated models of the exchanges of radiation, heat and momentum between the land surface and the atmosphere at mesoscales and global scales. Further study is needed to explore more effective use of remotely sensed data for vegetation in heat balance modeling.

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