Improved GOES Sounder Coverage of Cloud-Broken Data Fields

Alan E. Lipton Optical Effects Division, Air Force Research Laboratory, Hanscom Air Force Base, Massachusetts

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Abstract

Geostationary satellite sounder radiances have typically been averaged over several individual fields of view before the radiances are used for retrieving thermodynamic profiles or for assimilation in weather prediction models. The purpose of the averaging is to compensate for data noise. Cloudy fields of view are excluded from averaging. In areas without a sufficient number of clear fields of view, complete profiles are not retrieved. Clouds thus cause gaps in sounder coverage. This note describes an automated method to select a set of averaging areas for a given field of sounder data, such that the gaps in coverage caused by clouds are as small and as few as possible. Test results are shown, indicating that the method can provide substantially better coverage than is obtained with a commonly used method.

Corresponding author address: Dr. Alan E. Lipton, Atmospheric and Environmental Research, Inc., 840 Memorial Drive, Cambridge, MA 02139.

alipton@aer.com

Abstract

Geostationary satellite sounder radiances have typically been averaged over several individual fields of view before the radiances are used for retrieving thermodynamic profiles or for assimilation in weather prediction models. The purpose of the averaging is to compensate for data noise. Cloudy fields of view are excluded from averaging. In areas without a sufficient number of clear fields of view, complete profiles are not retrieved. Clouds thus cause gaps in sounder coverage. This note describes an automated method to select a set of averaging areas for a given field of sounder data, such that the gaps in coverage caused by clouds are as small and as few as possible. Test results are shown, indicating that the method can provide substantially better coverage than is obtained with a commonly used method.

Corresponding author address: Dr. Alan E. Lipton, Atmospheric and Environmental Research, Inc., 840 Memorial Drive, Cambridge, MA 02139.

alipton@aer.com

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  • Fuelberg, H. E., P. A. Rao, and D. W. Hillger, 1995: Clustering of satellite sounding radiances to investigate intense low-level humidity gradients. J. Appl. Meteor.,34, 1525–1535.

  • Hayden, C. M., 1988: GOES-VAS simultaneous temperature–moisture retrieval algorithm. J. Appl. Meteor.,27, 705–733.

  • ——, and T. J. Schmit, 1994: GOES-I temperature moisture retrievals and associated gradient wind estimates. Preprints, Seventh Conf. on Satellite Meteorology and Oceanography, Monterey, CA, Amer. Meteor. Soc., 477–480.

  • Hillger, D. W., and J. F. W. Purdom, 1990: Clustering of satellite sounding radiances to enhance mesoscale meteorological retrievals. J. Appl. Meteor.,29, 1344–1351.

  • Lipton, A. E., G. D. Modica, S. T. Heckman, and A. J. Jackson, 1995:Satellite-model coupled analysis of convective potential in Florida with VAS water vapor and surface temperature data. Mon. Wea. Rev.,123, 3292–3304.

  • Menzel, W. P., and J. F. W. Purdom, 1994: Introducing GOES-I: The first of a new generation of Geostationary Operational Environmental Satellites. Bull. Amer. Meteor. Soc.,75, 757–781.

  • ——, W. L. Smith, G. S. Wade, L. D. Herman, and C. M. Hayden, 1983: Atmospheric sounding from a geostationary satellite. Appl. Opt.,22, 2686–2689.

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