Estimating continuous-coverage instantaneous precipitation rates using remotely sensed and ground-based measurements

AMS Citation:
Grim, J. A., and J. O. Pinto, 2011: Estimating continuous-coverage instantaneous precipitation rates using remotely sensed and ground-based measurements. Journal of Applied Meteorology and Climatology, 50, 2073-2091, doi:10.1175/JAMC-D-11-033.1.
Date:2011-10-01
Resource Type:article
Title:Estimating continuous-coverage instantaneous precipitation rates using remotely sensed and ground-based measurements
Abstract: This study demonstrates a method of temporally and spatially scaling precipitation rates at low probability of precipitation-rate exceedance levels (e.g., 0.1%) from coarser-resolution global datasets to near-instantaneous localized rain gauge precipitation rates. In particular, the 8-km-, 1-h-resolution Climate Prediction Center Morphing (CMORPH) dataset was scaled to 1-min localized rates using the Automated Surface Observing Station (ASOS) rain gauge data. Maps of these scaled precipitation rates show overall patterns and magnitudes that are nearly identical to the lower-spatial-resolution rain gauge maps yet retain the much higher resolution of the original remotely sensed global dataset, which is particularly important over regions of complex geography and sparse surface observing stations. To scale the CMORPH data, temporal and spatial conversion factor arrays were calculated by comparing precipitation rates at different temporal (ASOS 1-min and 1-h) and spatial (ASOS 1-h and CMORPH 1-h) resolutions. These temporal and spatial conversion factors were found to vary by probability level, season, and climatological region. Meteorological implications of these variations are discussed.
Subject(s):Automatic weather stations, Satellite observations, Surface observations
Peer Review:Refereed
Copyright Information:Copyright 2011 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be "fair use" under Section 107 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Law (17 USC, as revised by P.L. 94-553) does not require the Society's permission. Republication, systematic reproduction, posting in electronic form on servers, or other uses of this material, except as exempted by the above statements, requires written permission or license from the AMS. Additional details are provided in the AMS Copyright Policies, available from the AMS at 617-227-2425 or amspubs@ametsoc.org. Permission to place a copy of this work on this server has been provided by the AMS. The AMS does not guarantee that the copy provided here is an accurate copy of the published work.
OpenSky citable URL: ark:/85065/d77945dc
Publisher's Version: 10.1175/JAMC-D-11-033.1
Author(s):
  • Joseph Grim - NCAR/UCAR
  • James Pinto - NCAR/UCAR
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