Publication Date:
2019-07-27
Description:
Weather and climate analyses and predictions all rely on the global observing system. However, the observing system, whether atmosphere, ocean, or land surface, yields a diverse set of incomplete observations of the different components of Earth s environment. Data assimilation systems are essential to synthesize the wide diversity of in situ and remotely sensed observations into four-dimensional state estimates by combining the various observations with model-based estimates. Assimilation, or associated tools and products, are also useful in providing guidance for the evolution of the observing system of the future. This paper provides a brief overview of the global observing system and information gleaned through assimilation tools, and presents some evaluations of observing system gaps and issues.
Keywords:
Meteorology and Climatology
Type:
GSFC.CP.5994.2012
,
European Center for Medium Range Weather Forecases (ECMWF) Annual Seminar; 6-9 Sept. 2011; Reading; United Kingdom
Format:
application/pdf
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