Cover Monthly Weather Review
Monthly Weather Review
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 78 38 0
PDF Downloads 47 26 1
Editorial Type:
Article
Article Type:
Research Article

Analysis Error as a Function of Observation Density for Satellite Temperature Soundings with Spatially Correlated Errors

Kenneth H. BergmanNational Oceanic and Atmospheric Administration, National Meterological Center, Washington, D.C. 20233

Search for other papers by Kenneth H. Bergman in
Current site
Google Scholar
PubMedClose
and
William D. BonnerNational Oceanic and Atmospheric Administration, National Meterological Center, Washington, D.C. 20233

Search for other papers by William D. Bonner in
Current site
Google Scholar
PubMedClose
Print Publication:
01 Oct 1976
DOI:
https://doi.org/10.1175/1520-0493(1976)104<1308:AEAAFO>2.0.CO;2
Page(s):
1308–1316
Restricted access

Abstract

A simple numerical experiment demonstrates that if the errors in satellite-derived temperatures are correlated spatially, the error of an optimum interpolation objective analysis using such temperature data is increased. Moreover, increasing the density of such observations beyond a, threshold value (a spacing of about 400 km in the experiment) does not yield any significant improvement in analysis accuracy, in contrast to the cage of observations with spatially uncorrelated errors.

Abstract

A simple numerical experiment demonstrates that if the errors in satellite-derived temperatures are correlated spatially, the error of an optimum interpolation objective analysis using such temperature data is increased. Moreover, increasing the density of such observations beyond a, threshold value (a spacing of about 400 km in the experiment) does not yield any significant improvement in analysis accuracy, in contrast to the cage of observations with spatially uncorrelated errors.

Save