Eastern US Verification of Ensemble Precipitation Forecasts

被引:30
|
作者
Sharma, Sanjib [1 ]
Siddique, Ridwan [1 ]
Balderas, Nicholas [2 ,3 ]
Fuentes, Jose D. [4 ]
Reed, Seann [5 ]
Ahnert, Peter [5 ]
Shedd, Robert [6 ]
Astifan, Brian [7 ]
Cabrera, Reggina [8 ]
Laing, Arlene [9 ]
Klein, Mark [9 ]
Mejia, Alfonso [1 ]
机构
[1] Penn State Univ, Dept Civil & Environm Engn, University Pk, PA 16802 USA
[2] Univ Oklahoma, Sch Meteorol, Norman, OK 73019 USA
[3] Penn State Univ, REU Climate Sci Program, University Pk, PA 16802 USA
[4] Penn State Univ, Dept Meteorol, 503 Walker Bldg, University Pk, PA 16802 USA
[5] NOAA, Natl Weather Serv, Middle Atlantic River Forecast Ctr, State Coll, PA USA
[6] NOAA, Natl Weather Serv, Northeast River Forecast Ctr, Taunton, MA USA
[7] NOAA, Natl Weather Serv, Ohio River Forecast Ctr, Wilmington, OH USA
[8] NOAA, Natl Weather Serv, Southeast River Forecast Ctr, Peachtree City, GA USA
[9] NOAA, Natl Weather Serv, Weather Predict Ctr, College Pk, MD USA
关键词
MID-ATLANTIC REGION; RAIN-GAUGE; WEATHER; CLIMATE; TEMPERATURE; PERFORMANCE; REGRESSION; FRAMEWORK; SATELLITE; SYSTEM;
D O I
10.1175/WAF-D-16-0094.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The quality of ensemble precipitation forecasts across the eastern United States is investigated, specifically, version 2 of the National Centers for Environmental Prediction (NCEP) Global Ensemble Forecast System Reforecast (GEFSRv2) and Short Range Ensemble Forecast (SREF) system, as well as NCEP's Weather Prediction Center probabilistic quantitative precipitation forecast (WPC-PQPF) guidance. The forecasts are verified usingmultisensor precipitation estimates and various metrics conditioned upon seasonality, precipitation threshold, lead time, and spatial aggregation scale. The forecasts are verified, over the geographic domain of each of the four eastern River Forecasts Centers (RFCs) in theUnited States, by considering first 1) the three systems or guidance, using a common period of analysis (2012-13) for lead times from 1 to 3 days, and then 2) GEFSRv2 alone, using a longer period (2004-13) and lead times from 1 to 16 days. The verification results indicate that, across the eastern United States, precipitation forecast bias decreases and the skill and reliability improve as the spatial aggregation scale increases; however, all the forecasts exhibit some underforecasting bias. The skill of the forecasts is appreciably better in the cool season than in the warm one. TheWPC-PQPFs tend to be superior, in terms of the correlation coefficient, relativemean error, reliability, and forecast skill scores, than bothGEFSRv2 and SREF, but the performance varies with the RFC and lead time. Based on GEFSRv2, medium-range precipitation forecasts tend to have skill up to approximately day 7 relative to sampled climatology.
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页码:117 / 139
页数:23
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