An impact study of five remotely sensed and five in situ data types in the Eta Data Assimilation System

The impact of 10 data types used in the Eta Data Assimilation/Forecast System (EDAS) is studied for extended-length time periods during three seasons. Five of the data types are remotely sensed satellite data, and the other five are in situ.

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Bibliographic Details
Published inWeather and forecasting Vol. 17; no. 2; pp. 263 - 285
Main Authors ZAPOTOCNY, Tom H, MENZEL, W. Paul, NELSON, James P, JUNG, James A
Format Journal Article
LanguageEnglish
Published Boston, MA American Meteorological Society 01.04.2002
Subjects
Data collection
Earth, ocean, space
Exact sciences and technology
External geophysics
Impact analysis
Meteorology
Satellites
Weather
Weather analysis and prediction
United States
North America
America
Case study
Measurement in situ
Wind
Weather forecast
Clouds
Space remote sensing
Precipitable water
Water vapor
Eta model
Data assimilation
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Summary:The impact of 10 data types used in the Eta Data Assimilation/Forecast System (EDAS) is studied for extended-length time periods during three seasons. Five of the data types are remotely sensed satellite data, and the other five are in situ.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0882-8156
1520-0434
DOI:10.1175/1520-0434(2002)017<0263:AISOFR>2.0.CO;2