NOAA's Second-Generation Global Medium-Range Ensemble Reforecast DatasetSource: Bulletin of the American Meteorological Society:;2013:;volume( 094 ):;issue: 010::page 1553Author:Hamill, Thomas M.
,
Bates, Gary T.
,
Whitaker, Jeffrey S.
,
Murray, Donald R.
,
Fiorino, Michael
,
Galarneau, Thomas J.
,
Zhu, Yuejian
,
Lapenta, William
DOI: 10.1175/BAMS-D-12-00014.1Publisher: American Meteorological Society
Abstract: cadal ensemble reforecast database is now available that is approximately consistent with the operational 0000 UTC cycle of the 2012 NOAA Global Ensemble Forecast System (GEFS). The reforecast dataset consists of an 11-member ensemble run once each day from 0000 UTC initial conditions. Reforecasts are run to +16 days. As with the operational 2012 GEFS, the reforecast is run at T254L42 resolution (approximately 1/2° grid spacing, 42 levels) for week +1 forecasts and T190L42 (approximately 3/4° grid spacing) for the week +2 forecasts. Reforecasts were initialized with Climate Forecast System Reanalysis initial conditions, and perturbations were generated using the ensemble transform with rescaling technique. Reforecast data are available from 1985 to present. Reforecast datasets were previously demonstrated to be very valuable for detecting and correcting systematic errors in forecasts, especially forecasts of relatively rare events and longer-lead forecasts. What is novel about this reforecast dataset relative to the first-generation NOAA reforecast is that (i) a modern, currently operational version of the forecast model is used (the previous reforecast used a model version from 1998); (ii) a much larger set of output data has been saved, including variables relevant for precipitation, hydrologic, wind energy, solar energy, severe weather, and tropical cyclone forecasting; and (iii) the archived data are at much higher resolution. The article describes more about the reforecast configuration and provides a few examples of how this second-generation reforecast data may be used for research and a variety of weather forecast applications.
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| contributor author | Hamill, Thomas M. | |
| contributor author | Bates, Gary T. | |
| contributor author | Whitaker, Jeffrey S. | |
| contributor author | Murray, Donald R. | |
| contributor author | Fiorino, Michael | |
| contributor author | Galarneau, Thomas J. | |
| contributor author | Zhu, Yuejian | |
| contributor author | Lapenta, William | |
| date accessioned | 2017-06-09T16:44:23Z | |
| date available | 2017-06-09T16:44:23Z | |
| date copyright | 2013/10/01 | |
| date issued | 2013 | |
| identifier issn | 0003-0007 | |
| identifier other | ams-73263.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4215358 | |
| description abstract | cadal ensemble reforecast database is now available that is approximately consistent with the operational 0000 UTC cycle of the 2012 NOAA Global Ensemble Forecast System (GEFS). The reforecast dataset consists of an 11-member ensemble run once each day from 0000 UTC initial conditions. Reforecasts are run to +16 days. As with the operational 2012 GEFS, the reforecast is run at T254L42 resolution (approximately 1/2° grid spacing, 42 levels) for week +1 forecasts and T190L42 (approximately 3/4° grid spacing) for the week +2 forecasts. Reforecasts were initialized with Climate Forecast System Reanalysis initial conditions, and perturbations were generated using the ensemble transform with rescaling technique. Reforecast data are available from 1985 to present. Reforecast datasets were previously demonstrated to be very valuable for detecting and correcting systematic errors in forecasts, especially forecasts of relatively rare events and longer-lead forecasts. What is novel about this reforecast dataset relative to the first-generation NOAA reforecast is that (i) a modern, currently operational version of the forecast model is used (the previous reforecast used a model version from 1998); (ii) a much larger set of output data has been saved, including variables relevant for precipitation, hydrologic, wind energy, solar energy, severe weather, and tropical cyclone forecasting; and (iii) the archived data are at much higher resolution. The article describes more about the reforecast configuration and provides a few examples of how this second-generation reforecast data may be used for research and a variety of weather forecast applications. | |
| publisher | American Meteorological Society | |
| title | NOAA's Second-Generation Global Medium-Range Ensemble Reforecast Dataset | |
| type | Journal Paper | |
| journal volume | 94 | |
| journal issue | 10 | |
| journal title | Bulletin of the American Meteorological Society | |
| identifier doi | 10.1175/BAMS-D-12-00014.1 | |
| journal fristpage | 1553 | |
| journal lastpage | 1565 | |
| tree | Bulletin of the American Meteorological Society:;2013:;volume( 094 ):;issue: 010 | |
| contenttype | Fulltext |