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Observability of Planetary Waves and Their Predictability in the Ecmwf H500 Forecasts : Volume 4, Issue 1 (19/02/2010)

By Sonechkin, D. M.

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Book Id: WPLBN0003987914
Format Type: PDF Article :
File Size: Pages 3
Reproduction Date: 2015

Title: Observability of Planetary Waves and Their Predictability in the Ecmwf H500 Forecasts : Volume 4, Issue 1 (19/02/2010)  
Author: Sonechkin, D. M.
Volume: Vol. 4, Issue 1
Language: English
Subject: Science, Advances, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2010
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Sonechkin, D. M. (2010). Observability of Planetary Waves and Their Predictability in the Ecmwf H500 Forecasts : Volume 4, Issue 1 (19/02/2010). Retrieved from http://worldlibrary.in/


Description
Description: P. P. Shirshov Oceanology Institute, RAS, Moscow, Russia. The problem of a hard contradiction between limited possibilities of meteorological observations and uncontrolled complication of the present-day weather forecasting models, and its consequences for the planetary wave predictability are considered with examples from the ECMWF short- and medium-range H500 forecasts for the Northern Hemisphere. A supposition is voiced that this problem adds difficulties to the weekly predictability limit overcoming.

Summary
Observability of planetary waves and their predictability in the ECMWF H500 forecasts

Excerpt
Dando, M. L., Thorpe, A. J., and Eyre, J. R.: The optimal density of atmospheric sounder observations in the Met Office NWP system, Q. J. Roy. Meteor. Soc., 133, 1933–1944, 2007.; Ghil, M., Cohn, S. E., Tavantzis, J., Bube, K., and Isaacson, E.: Applications of estimation theory to numerical weather prediction, in: Dynamic meteorology: Data assimilation methods, edited by: Bengtsson, L., Ghil, M., and Kaellen, E., Springer-Verlag, New York, 139–184, 1981.; Kazandjan, G. P. and Sonechkin, D. M.: An outline of the spectral objective analysis of aerologic observations. Trudy Gidrometeorologitcheskogo Nauchno-issledovatelskogo Centra SSSR, 243, 85–101, 1982 (in Russian).; Le Dimet, F. X. and Talagrand, O.: Variational algorithms for analysis and assimilation of meteorological observations: Theoretical aspects, Tellus, 38A, 97–110, 1986.; Lorenc, A. C.: Analysis methods for numerical weather prediction, Q. J. Roy. Meteor. Soc., 112, 1177–1194, 1986.; Liu, Z. and Rabier, F.: The potential of high-density observations for numerical weather prediction. A study with simulated observations, Q. J. Roy. Meteor. Soc., 129, 3012–3035, 2003.; Sonechkin, D. M.: Grounds for four-dimensional (continuous) assimilation of meteorological observation based on a dynamic-stochastic approach, Meteorologiya i Gidrologiya, 4, 13–19, 1973 (in Russian).

 

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