Details:

Personal Author:
Parrish, David F. ; Derber, John C.
Parrish, David F. ; Derber, John C. Less -
Corporate Authors:
National Meteorological Center (U.S.)
NOAA Program & Office:
NWS (National Weather Service) ; NCEP (National Centers for Environmental Prediction)
NWS (National Weather Service) ; NCEP (National Centers for Environmental Prediction) Less -
Description:
At the National Meteorological Center (NMC), a new analysis system is being extensively tested for possible use in the operational Global Data Assimilation System. This analysis system is called the Spectral Statistical Interpolation (SS1) Analysis system because the spectral coefficients used in the NMC spectral model are analysed directly using the same basic equations as statistical (optimal) interpolation. Results from several months of parallel testing with the NMC spectral model have been very encouraging. Favorable features include smoother analysis increments, greatly reduced changes from initialization, and significant improvement of 1-5 day forecasts. Although the analysis is formulated as a variational problem, the objective function being minimized is formally the same one that forms the basis of all existing optimal interpolation schemes. This objective function is a combination of forecast and observation deviations from the desired analysis, weighted by the inverses of the corresponding forecast and observation error covariance matrices. There are two principal differences in how the SSI implements the minimization of this functional as compared to the current OI used at NMC. First, the analysis variables are spectral coefficients instead of gridpoint values. Second, all observations are used at once to solve a single global problem. No local approximations are made, and there is no special data selection. Because of these differences, it is straightforward to include unconventional data, such as radiances, in the analysis. Currently temperature, wind, surface pressure, mixing ratio and SSM/I total precipitable water are used as the observation variables. Soon to be added is the scatterometer surface winds. In this paper, we provide a detailed description of the SSI and present a few results.
Content Notes:
David F. Parrish and John C. Derber.

"April 1991."

System requirements: Adobe Acrobat Reader.

Includes bibliographical references (pages 32-35).


Keywords:
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Mathematical Models Numerical Weather Forecasting Statistical Methods Weather Forecasting
Series:
Office note (National Centers for Environmental Prediction (U.S.)) ; 379
Document Type:
Office Note
Place as Subject:
United States
Rights Information:
Public Domain
Compliance:
Library
Main Document Checksum:
[+]
urn:sha256:f14b5ccd536ef7d9042110e1485afe21fcde386e3ee69ad52ed73a0c78f819c0
Download URL:
https://repository.library.noaa.gov/view/noaa/11449/noaa_11449_DS1.pdf
File Type:

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