First-Guess Dependence of a Physically Based Set of Temperature–Humidity Retrievals from HIRS2/MSU Data
1988; American Meteorological Society; Volume: 5; Issue: 1 Linguagem: Inglês
10.1175/1520-0426(1988)005 2.0.co;2
ISSN1520-0426
AutoresD. Reuter, Joel Susskind, Andrew Pursch,
Tópico(s)Climate variability and models
ResumoThe first-guess dependence of temperature and humidity fields retrieved from HIRS2/MSU data using the GLA (Goddard laboratory for Atmospheres) physically based retrieval scheme is examined. Retrievals were performed over the ALPEX region for two successive synoptic periods, 1200 UTC 4 March and 0000 UTC 5 March 1982, using three different initial guesses for each period. Results show rather low first-guess dependence for the thickness fields and larger first-guess dependence for the precipitable water fields, especially close to the surface. The humidity retrieval algorithm used is described. The processing system has the property of maintaining the accuracy of a good guess and improving a poor one for both thickness and precipitable water at all levels.
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