Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sabrina Rainwater"'
Autor:
Matthew Kretschmer, Brian R. Hunt, Edward Ott, Craig H. Bishop, Sabrina Rainwater, Istvan Szunyogh
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 67, Iss 0, Pp 1-17 (2015)
Limited-area models (LAMs) allow high-resolution forecasts to be made for geographic regions of interest when resources are limited. Typically, boundary conditions for these models are provided through one-way boundary coupling from a coarser resolut
Externí odkaz:
https://doaj.org/article/0be95b4f76ee416d971208e8b70c03eb
Autor:
Sabrina Rainwater, Brian R. Hunt
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 65, Iss 0, Pp 1-14 (2013)
Ensemble data assimilation typically evolves an ensemble of model states whose spread is intended to represent the algorithm's uncertainty about the state of the physical system that produces the data. The analysis phase treats the forecast ensemble
Externí odkaz:
https://doaj.org/article/6c92cd5e23a94dd7a828b12e0aeaa0ca
Autor:
Michael A. Herrera, Qingyun Zhao, Adam Brainard, David D. Kuhl, Craig H. Bishop, Karl W. Hoppel, Teddy Holt, Istvan Szunyogh, Sabrina Rainwater
Publikováno v:
Monthly Weather Review. 146:4015-4038
A regionally enhanced global (REG) data assimilation (DA) method is proposed. The technique blends high-resolution model information from a single or multiple limited-area model domains with global model and observational information to create a regi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::351450efdec1fc83db0e26024d446347
https://doi.org/10.1175/mwr-d-17-0228.1
https://doi.org/10.1175/mwr-d-17-0228.1
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 141:3439-3445
In operational data assimilation, observation errors are generally assumed to be uncorrelated, though some observations, such as satellite data, have correlated errors. We show that, if observation-error correlations are correctly accounted for, an o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db2e38eb21ea8e79a5fa3d2fda06226d
https://doi.org/10.1002/qj.2582
https://doi.org/10.1002/qj.2582
Autor:
Brian R. Hunt, Sabrina Rainwater
Publikováno v:
Monthly Weather Review. 141:3007-3021
Ensemble Kalman filters perform data assimilation by forming a background covariance matrix from an ensemble forecast. Most of the literature on ensemble Kalman filters assumes that all ensemble members come from the same model. This article presents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de3ba7d562841108d6b1c43a6e53cd90
https://doi.org/10.1175/mwr-d-12-00234.1
https://doi.org/10.1175/mwr-d-12-00234.1
Autor:
Edward Ott, Craig H. Bishop, Sabrina Rainwater, Istvan Szunyogh, Matthew Kretschmer, Brian R. Hunt
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 67, Iss 0, Pp 1-17 (2015)
Tellus A; Vol 67 (2015)
Tellus A; Vol 67 (2015)
Limited-area models (LAMs) allow high-resolution forecasts to be made for geographic regions of interest when resources are limited. Typically, boundary conditions for these models are provided through one-way boundary coupling from a coarser resolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e61533a3b9df3f88d516383f339f2365
https://doi.org/10.3402/tellusa.v67.26495
https://doi.org/10.3402/tellusa.v67.26495