Zobrazeno 1 - 10
of 41
pro vyhledávání: '"David G DeWitt"'
Autor:
Hailan Wang, Li Xu, Mimi Hughes, Muthuvel Chelliah, David G DeWitt, Brian A Fuchs, Darren L Jackson
Publikováno v:
Environmental Research Letters, Vol 17, Iss 1, p 014011 (2021)
The US drought monitor (USDM) has been widely used as an observational reference for evaluating land surface model (LSM) simulation of drought. This study investigates potential caveats in such evaluation when the USDM and LSMs use different base per
Externí odkaz:
https://doaj.org/article/f90eab8b8ff5417d850b9d0cef5a723c
Publikováno v:
Weather and Forecasting. 36:109-125
A dynamical–statistical model is developed for forecasting week-2 severe weather (hail, tornadoes, and damaging winds) over the United States. The supercell composite parameter (SCP) is used as a predictor, which is derived from the 16-day dynamica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2586ccc20bc944b6cb1b1998baadd244
https://doi.org/10.1175/waf-d-20-0009.1
https://doi.org/10.1175/waf-d-20-0009.1
Autor:
Netrananda Sahu, Ram Babu Singh, Andrew W. Robertson, Swadhin K. Behera, Manish Kumar, Kaoru Takara, David G. DeWitt, Rizaldi Boer
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 31:1747-1758
In this study we discuss probabilistic forecasts of Citarum River streamflow, which supplies 80 % of the water demands in Jakarta, Indonesia, based on general circulation model (GCM) output, for the September–November (SON) season. Retrospective fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60010fc313d1492baa22f3a429841f36
https://doi.org/10.1007/s00477-016-1297-4
https://doi.org/10.1007/s00477-016-1297-4
Publikováno v:
International Journal of Climatology. 36:4455-4474
We propose how seasonal climate prediction with the use of an atmospheric general circulation model (AGCM) can be optimized. The AGCM predictive skill is extensively examined under various forecast strategies that mimic truly operational prediction.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::722e7d9ab342b77f64c289dae717f849
https://doi.org/10.1002/joc.4643
https://doi.org/10.1002/joc.4643
Publikováno v:
International Journal of Climatology. 36:2570-2581
Seasonal climate forecasts are operationally produced at various climate prediction centres around the world. However, these forecasts may not necessarily be appropriately integrated into application models in order to help with decision-making proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ed16c625ce16629b92d8039af42ae77
https://doi.org/10.1002/joc.4513
https://doi.org/10.1002/joc.4513
Publikováno v:
Climate Dynamics. 46:879-896
This study investigates the refined simulation skill that results when the regional Climate extension of the Weather Research and Forecasting (CWRF) model is nested in the ECMWF Hamburg version 4.5 (ECHAM) atmospheric general circulation model over t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b07e7f541d29d9cd298e92c953dc1dce
https://doi.org/10.1007/s00382-015-2619-9
https://doi.org/10.1007/s00382-015-2619-9
Autor:
Siegfried D. Schubert, Michele M. Rienecker, Johnna M. Infanti, Shuhua Li, Peitao Peng, Patrick Tripp, Zhao E. Li, D. A. Paolino, Malaquías Peña Mendez, Qin Zhang, Jelena Marshak, Jin Huang, Joseph Tribbia, Anthony Rosati, Michael K. Tippett, Kathleen Pegion, Huug van den Dool, David G. DeWitt, James L. Kinter, Young-Kwon Lim, Bertrand Denis, Ben P. Kirtman, Dughong Min, William J. Merryfield, Max J. Suarez, Eric F. Wood, Suranjana Saha, Emily Becker, Anthony G. Barnston
Publikováno v:
Bulletin of the American Meteorological Society. 95:585-601
The recent U.S. National Academies report, Assessment of Intraseasonal to Interannual Climate Prediction and Predictability, was unequivocal in recommending the need for the development of a North American Multimodel Ensemble (NMME) operational predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::340b2fcabac372baf2931a2bf909e5ad
https://doi.org/10.1175/bams-d-12-00050.1
https://doi.org/10.1175/bams-d-12-00050.1
Publikováno v:
Meteorological Applications. 21:963-974
An assessment of probabilistic prediction skill of seasonal temperature extremes over Southern Africa\ud is presented. Verification results are presented for six run-on seasons; September to November, October to December,\ud November to January, Dece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f36187180007ca9559abca7ca659b47
https://doi.org/10.1002/met.1449
https://doi.org/10.1002/met.1449
Publikováno v:
Journal of Climate. 27:1719-1741
The recent increase in availability of high-performance computing (HPC) resources in South Africa allowed the development of an ocean–atmosphere coupled general circulation model (OAGCM). The ECHAM4.5-South African Weather Service (SAWS) Modular Oc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d6425b97afde0dab9f928c4c26efe19
https://doi.org/10.1175/jcli-d-13-00275.1
https://doi.org/10.1175/jcli-d-13-00275.1
Publikováno v:
Bulletin of the American Meteorological Society. 93:631-651
Real-time model predictions of ENSO conditions during the 2002–11 period are evaluated and compared to skill levels documented in studies of the 1990s. ENSO conditions are represented by the Niño- 3.4 SST index in the east-central tropical Pacific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cdae9ea0995f93bb05d1c122bb2cc0e
https://doi.org/10.1175/bams-d-11-00111.1
https://doi.org/10.1175/bams-d-11-00111.1