Experimental Subseasonal-to-Seasonal (S2S) Forecasting of Atmospheric Rivers Over the Western United States

被引:52
作者
DeFlorio, Michael J. [1 ]
Waliser, Duane E. [2 ,3 ]
Ralph, F. Martin [1 ]
Guan, Bin [2 ,3 ]
Goodman, Alexander [2 ]
Gibson, Peter B. [2 ]
Asharaf, Shakeel [2 ,3 ]
Delle Monache, Luca [1 ]
Zhang, Zhenhai [1 ]
Subramanian, Aneesh C. [4 ]
Vitart, Frederic [5 ]
Lin, Hai [6 ]
Kumar, Arun [7 ]
机构
[1] Univ Calif San Diego, Scripps Inst Oceanog, Ctr Western Weather & Water Extremes, La Jolla, CA 92093 USA
[2] CALTECH, Jet Prop Lab, Pasadena, CA USA
[3] Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA USA
[4] Univ Colorado Boulder, Boulder, CO USA
[5] European Ctr Medium Range Weather Forecasts, Reading, Berks, England
[6] Environm & Climate Change Canada, Montreal, PQ, Canada
[7] NOAA, Climate Predict Ctr, NCEP, NWS, College Pk, MD USA
基金
美国国家航空航天局;
关键词
PREDICTION; PRECIPITATION; SCALE; INTENSITY; SATELLITE; STRENGTH; IMPACTS; COAST; AREA; MJO;
D O I
10.1029/2019JD031200
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A multimodel evaluation of subseasonal-to-seasonal (S2S) hindcast skill of atmospheric rivers (ARs) out to 4-week lead over the western United States is presented for three operational hindcast systems: European Centre for Medium-Range Weather Forecasts (ECMWF; Europe), National Centers for Environmental Prediction (NCEP; U.S.), and Environment and Canada Climate Change (ECCC; Canada). Ensemble mean biases and Brier Skill Scores are examined for no, moderate, and high levels of AR activity (0, 1-2, and 3-7 AR days/week, respectively). All hindcast systems are more skillful in predicting no and high AR activity relative to moderate activity. There are isolated regions of skill at week-3 over 150-125 degrees W, 25-35 degrees N for the no and high AR activity levels, with larger magnitude and spatial extent of the skill in ECMWF and ECCC compared to NCEP. The spatial pattern of this skill suggests that for high AR activity, a southwest-to-northeast orientation is more predictable at subseasonal lead times than other orientations, and for no AR activity, more skill exists in the subtropical North Pacific, upstream of central and southern California. AR hindcast skill along the western U.S. is most strongly increased in hindcasts initialized during MaddenJulian Oscillation (MJO) Phases 1 and 8, and hindcast skill is substantially decreased over California in hindcasts initialized during MJO Phase 4. Skill modulations in the ECMWF hindcast system conditioned on El Nino-Southern Oscillation phase are weaker than those conditioned on particular MJO phases. This work provides hindcast skill benchmarks and uncertainty quantification for experimental real-time forecasts of AR activity during winters 2019-2021 as part of the S2S Prediction Project Real-time Pilot Initiative in collaboration with the California Department of Water Resources.
引用
收藏
页码:11242 / 11265
页数:24
相关论文
共 58 条
[11]   Toward Better Understanding of the Contiguous Rain Area (CRA) Method for Spatial Forecast Verification [J].
Ebert, Elizabeth E. ;
Gallus, William A., Jr. .
WEATHER AND FORECASTING, 2009, 24 (05) :1401-1415
[12]   Global Analysis of Climate Change Projection Effects on Atmospheric Rivers [J].
Espinoza, Vicky ;
Waliser, Duane E. ;
Guan, Bin ;
Lavers, David A. ;
Ralph, F. Martin .
GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (09) :4299-4308
[13]   How far in advance can we predict changes in large-scale flow leading to severe cold conditions over Europe? [J].
Ferranti, Laura ;
Magnusson, Linus ;
Vitart, Frederic ;
Richardson, David S. .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2018, 144 (715) :1788-1802
[14]   Evaluation of heat wave forecasts seamlessly across subseasonal timescales [J].
Ford, Trent W. ;
Dirmeyer, Paul A. ;
Benson, David O. .
NPJ CLIMATE AND ATMOSPHERIC SCIENCE, 2018, 1
[15]   Influence of Atmospheric Rivers on Mountain Snowpack in the Western United States [J].
Goldenson, N. ;
Leung, L. R. ;
Bitz, C. M. ;
Blanchard-Wrigglesworth, E. .
JOURNAL OF CLIMATE, 2018, 31 (24) :9921-9940
[16]   The role of atmospheric rivers in anomalous snow accumulation in East Antarctica [J].
Gorodetskaya, Irina V. ;
Tsukernik, Maria ;
Claes, Kim ;
Ralph, Martin F. ;
Neff, William D. ;
Van Lipzig, Nicole P. M. .
GEOPHYSICAL RESEARCH LETTERS, 2014, 41 (17) :6199-6206
[17]   An Intercomparison between Reanalysis and Dropsonde Observations of the Total Water Vapor Transport in Individual Atmospheric Rivers [J].
Guan, Bin ;
Waliser, Duane E. ;
Ralph, F. Martin .
JOURNAL OF HYDROMETEOROLOGY, 2018, 19 (02) :321-337
[18]   Does the Madden-Julian Oscillation Influence Wintertime Atmospheric Rivers and Snowpack in the Sierra Nevada? [J].
Guan, Bin ;
Waliser, Duane E. ;
Molotch, Noah P. ;
Fetzer, Eric J. ;
Neiman, Paul J. .
MONTHLY WEATHER REVIEW, 2012, 140 (02) :325-342
[19]   Atmospheric rivers impacting Northern California and their modulation by a variable climate [J].
Guirguis, Kristen ;
Gershunov, Alexander ;
Shulgina, Tamara ;
Clemesha, Rachel E. S. ;
Ralph, F. Martin .
CLIMATE DYNAMICS, 2019, 52 (11) :6569-6583
[20]   THE MEANING AND USE OF THE AREA UNDER A RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE [J].
HANLEY, JA ;
MCNEIL, BJ .
RADIOLOGY, 1982, 143 (01) :29-36