Assimilation of TRMM Multisatellite Precipitation Analysis with a Low-Resolution NCEP Global Forecast System

Lien, Guo-Yuan; Miyoshi, Takemasa; Kalnay, Eugenia

doi:10.1175/mwr-d-15-0149.1

i

Assimilation of TRMM Multisatellite Precipitation Analysis with a Low-Resolution NCEP Global Forecast System

2016
By Lien, Guo-Yuan ; Miyoshi, Takemasa ; Kalnay, Eugenia

Details

Journal Title:

Monthly Weather Review
Personal Author:

Lien, Guo-Yuan ; Miyoshi, Takemasa ; Kalnay, Eugenia
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research)
Description:

Current methods of assimilation of precipitation into numerical weather prediction models are able to make the model precipitation become similar to the observed precipitation during the assimilation, but the model forecasts tend to return to their original solution after a few hours. To facilitate the precipitation assimilation, a logarithm transformation has been used in several past studies. Lien et al. proposed instead to assimilate precipitation using the local ensemble transform Kalman filter (LETKF) with a Gaussian transformation technique and succeeded in improving the model forecasts in perfect-model observing system simulation experiments (OSSEs).
Source:

Monthly Weather Review, 144(2), 643-661
DOI:

https://doi.org/10.1175/mwr-d-15-0149.1
ISSN:

0027-0644 ; 1520-0493
Format:

PDF
Publisher:

American Meteorological Society
Document Type:

Journal Article
Funding:

Grant no. NA100OAR4310248 ; Grant no. NA10OAR4310248
Rights Information:

Other
Compliance:

Library
Main Document Checksum:

urn:sha-512:ade2e5c92a13743b764e550eb7bfc2837cc8b9f4388924a8be85ecc38bb931d9138f569c9614db38c511b6a56dbf2578f66c0b193c9e79174817ce76e7c1a4d7
Download URL:

https://repository.library.noaa.gov/view/noaa/65044/noaa_65044_DS1.pdf
File Type:

[PDF - 2.87 MB ]

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