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Experimental Subseasonal‐to‐Seasonal (S2S) Forecasting of Atmospheric Rivers Over the Western United States.
- Source :
- Journal of Geophysical Research. Atmospheres; 11/16/2019, Vol. 124 Issue 21, p11242-11265, 24p
- Publication Year :
- 2019
-
Abstract
- 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°W, 25–35°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 Madden‐Julian 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 Niño‐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. Key Points: A multimodel subseasonal‐to‐seasonal (S2S) hindcast skill assessment of atmospheric river (AR) activity over the western United States is presentedThe modulation of hindcast skill conditioned on phases of active MJO and ENSO events is quantifiedAn experimental S2S AR activity forecast product designed with California Department of Water Resources stakeholders is introduced [ABSTRACT FROM AUTHOR]
- Subjects :
- WEATHER forecasting
ATMOSPHERIC rivers
MADDEN-Julian oscillation
Subjects
Details
- Language :
- English
- ISSN :
- 2169897X
- Volume :
- 124
- Issue :
- 21
- Database :
- Complementary Index
- Journal :
- Journal of Geophysical Research. Atmospheres
- Publication Type :
- Academic Journal
- Accession number :
- 139884790
- Full Text :
- https://doi.org/10.1029/2019JD031200