From months to minutes - exploring the value of high-resolution rainfall observation and prediction during the UK winter storms of 2013/2014

被引:27
作者
Lewis, Huw [1 ]
Mittermaier, Marion [1 ]
Mylne, Ken [1 ]
Norman, Katie [1 ]
Scaife, Adam [1 ]
Neal, Robert [1 ]
Pierce, Clive [1 ]
Harrison, Dawn [1 ]
Jewell, Sharon [1 ]
Kendon, Michael [1 ]
Saunders, Roger [1 ]
Brunet, Gilbert [1 ]
Golding, Brian [1 ]
Kitchen, Malcolm [1 ]
Davies, Paul [1 ]
Pilling, Charles [1 ]
机构
[1] Met Off, Exeter, Devon, England
关键词
hydro-meteorology; forecasting; hazards; seamless prediction; verification; environmental prediction; high impact weather; quantitative precipitation forecasting; user needs; PRECIPITATION FORECASTS; GREAT-LAKES; MODEL; SYSTEM; VERIFICATION; WEATHER; CLIMATE; RANGE; SKILL; OSCILLATION;
D O I
10.1002/met.1493
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
As the societal impacts of hazardous weather and other environmental pressures grow, the need for integrated predictions that can represent the numerous feedbacks and linkages between sub-systems is greater than ever. This was well illustrated during winter 2013/2014 when a prolonged series of deep Atlantic depressions over a 3 month period resulted in damaging wind storms and exceptional rainfall accumulations. The impact on livelihoods and property from the resulting coastal surge and river and surface flooding was substantial. This study reviews the observational and modelling toolkit available to operational meteorologists during this period, which focusses on precipitation forecasting months, weeks, days and hours ahead of time. The routine availability of high-resolution (km scale) deterministic and ensemble rainfall predictions for short-range weather forecasting as well as weather-resolving seasonal prediction capability represent notable landmarks that have resulted from significant progress in research and development over the past decade. Latest results demonstrated that the suite of global and high-resolution UK numerical weather prediction models provided excellent guidance during this period, supported by high-resolution observations networks, such as weather radar, which proved resilient in difficult conditions. The specific challenges for demonstrating this performance for high-resolution precipitation forecasts are discussed. Despite their good operational performance, there remains a need to further develop the capability and skill of these tools to fully meet user needs and to increase the value that they deliver. These challenges are discussed, notably to accelerate the progress towards understanding the value that might be delivered through more integrated environmental prediction.
引用
收藏
页码:90 / 104
页数:15
相关论文
共 73 条
[1]  
[Anonymous], 2011, FORECAST VERIFICATIO, DOI DOI 10.1002/9781119960003.CH3
[2]  
[Anonymous], REC STORMS FLOODS UK
[3]  
Arribas A, 2011, MON WEATHER REV, V139, P1891, DOI [10.1175/2010MWR3615.1, 10.1175/2011MWR3615.1]
[4]  
Ballard S, 2012, IAHS-AISH P, V351, P336
[5]   Development of a high resolution grid-based river flow model for use with regional climate model output [J].
Bell, V. A. ;
Kay, A. L. ;
Jones, R. G. ;
Moore, R. J. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2007, 11 (01) :532-549
[6]  
Bowler N, 2006, Q J R METEOROL SOC A, V620A, P2107
[7]   The MOGREPS short-range ensemble prediction system [J].
Bowler, Neill E. ;
Arribas, Alberto ;
Mylne, Kenneth R. ;
Robertson, Kelvyn B. ;
Beare, Sarah E. .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2008, 134 (632) :703-722
[8]   UNIFIED MODELING AND PREDICTION OF WEATHER AND CLIMATE A 25-Year Journey [J].
Brown, Andrew ;
Milton, Sean ;
Cullen, Mike ;
Golding, Brian ;
Mitchell, John ;
Shelly, Ann .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2012, 93 (12) :1865-1877
[9]   Effect of Two-Way Air-Sea Coupling in High and Low Wind Speed Regimes [J].
Chen, Sue ;
Campbell, Tim J. ;
Jin, Hao ;
Gabersek, Sasa ;
Hodur, Richard M. ;
Martin, Paul .
MONTHLY WEATHER REVIEW, 2010, 138 (09) :3579-3602
[10]   Operational implementation of a hybrid ensemble/4D-Var global data assimilation system at the Met Office [J].
Clayton, A. M. ;
Lorenc, A. C. ;
Barker, D. M. .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2013, 139 (675) :1445-1461