A comparison of predictors for first-guess wind speed errors
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A comparison of predictors for first-guess wind speed errors
- Publication date
- 1993-12
- Publisher
- Monterey, California : Naval Postgraduate School
- Collection
- navalpostgraduateschoollibrary; fedlink; americana
- Contributor
- Naval Postgraduate School, Dudley Knox Library
- Language
- en_US
Title from cover
"NPS-OR-93-020."
"December 1993."
AD A276 460
Includes bibliographical references (p. 9 )
Numerical meteorological models are used to assist in the prediction of weather. Each run of a numerical model produces forecasts of meteorological variables which are used as preliminary predictions of the future values of these variables. These initial predictions are referred to as first-guess values. Estimation of the mean-square first-guess error is required in the optimal interpolation process in the numerical prediction of atmospheric variables. Several predictors for the mean-square error of the first-guess wind speeds are studied. The results suggest that prediction using observed covariates tend to be better than those using first-guess covariates. However, observed covariates are not always available. Predictions using first-guess covariates are better at the 250 mb level than the 850 or 500 mb levels. Of those first-guess covariates studied, first-guess wind speed appears to be the best. Gaussian model with log-linear scale parameter, Nonparametric models, Prediction of mean square errors, First-guess errors in meteorological models, Generalized linear regression
aq/ /aq cc:9116 12/08/97
"NPS-OR-93-020."
"December 1993."
AD A276 460
Includes bibliographical references (p. 9 )
Numerical meteorological models are used to assist in the prediction of weather. Each run of a numerical model produces forecasts of meteorological variables which are used as preliminary predictions of the future values of these variables. These initial predictions are referred to as first-guess values. Estimation of the mean-square first-guess error is required in the optimal interpolation process in the numerical prediction of atmospheric variables. Several predictors for the mean-square error of the first-guess wind speeds are studied. The results suggest that prediction using observed covariates tend to be better than those using first-guess covariates. However, observed covariates are not always available. Predictions using first-guess covariates are better at the 250 mb level than the 850 or 500 mb levels. Of those first-guess covariates studied, first-guess wind speed appears to be the best. Gaussian model with log-linear scale parameter, Nonparametric models, Prediction of mean square errors, First-guess errors in meteorological models, Generalized linear regression
aq/ /aq cc:9116 12/08/97
- Addeddate
- 2013-01-16 18:21:04
- Associated-names
- Jacobs, Patricia A; Naval Postgraduate School (U.S.). Dept. of Operations Research
- Call number
- ocn640489983
- Camera
- Canon EOS 5D Mark II
- Contributor_corporate
- Naval Postgraduate School (U.S.). Dept. of Operations Research.
- External-identifier
-
urn:handle:10945/29763
urn:oclc:record:1042448875
- Foldoutcount
- 0
- Format_extent
- 33 p. ; 28 cm.
- Identifier
- comparisonofpred00gave
- Identifier-ark
- ark:/13960/t9h432510
- Identifier_npsreport
- NPS-OR-93-020
- Identifier_oclc
- ocn640489983
- Ocr_converted
- abbyy-to-hocr 1.1.37
- Ocr_module_version
- 0.0.21
- Openlibrary_edition
- OL25510344M
- Openlibrary_work
- OL16889057W
- Page-progression
- lr
- Page_number_confidence
- 71
- Page_number_module_version
- 1.0.3
- Pages
- 44
- Ppi
- 350
- Republisher_date
- 20130116223303
- Republisher_operator
- associate-karina-martinez@archive.org
- Scandate
- 20130116184939
- Scanner
- scribe1.sanfrancisco.archive.org
- Scanningcenter
- sanfrancisco
- Type
- Technical Report
- Full catalog record
- MARCXML
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