Insights into the Causes and Predictability of the 2022/23 California Flooding

Author:

Schubert Siegfried D.12,Chang Yehui13,DeAngelis Anthony M.12,Lim Young-Kwon14,Thomas Natalie P.14,Koster Randal D.1,Bosilovich Michael G.1,Molod Andrea M.1,Collow Allison14,Dezfuli Amin14

Affiliation:

1. a Global Modeling and Assimilation Office, NASA GSFC, Greenbelt, Maryland

2. b Science Systems and Applications, Inc., Lanham, Maryland

3. c Goddard Earth Sciences Technology and Research II, Morgan State University, Baltimore, Maryland

4. d Goddard Earth Sciences Technology and Research II, University of Maryland Baltimore County, Baltimore, Maryland

Abstract

Abstract In late December of 2022 and the first half of January 2023, an unprecedented series of atmospheric rivers (ARs) produced near-record heavy rains and flooding over much of California. Here, we employ the NASA GEOS AGCM run in a “replay” mode, together with more idealized simulations with a stationary wave model, to identify the remote forcing regions, mechanisms, and underlying predictability of this flooding event. In particular, the study addresses the underlying causes of a persistent positive Pacific–North American (PNA)-like circulation pattern that facilitated the development of the ARs. We show that the pattern developed in late December as a result of vorticity forcing in the North Pacific jet exit region. We further provide evidence that this vorticity forcing was the result of a chain of events initiated in mid-December with the development of a Rossby wave (as a result of forcing linked to the MJO) that propagated from the northern Indian Ocean into the North Pacific. As such, both the initiation of the event and the eventual development of the PNA depended critically on internally generated Rossby wave forcings, with the North Pacific jet playing a key role. This, combined with contemporaneous SST (La Niña) forcing that produced a circulation response in the AGCM that was essentially opposite to the positive PNA, underscores the fundamental lack of predictability of the event at seasonal time scales. Forecasts produced with the GEOS-coupled model suggest that useful skill in predicting the PNA and extreme precipitation over California was in fact limited to lead times shorter than about 3 weeks.

Funder

Goddard Space Flight Center

Publisher

American Meteorological Society

Reference44 articles.

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2. Tendency bias correction in coupled and uncoupled global climate models with a focus on impacts over North America;Chang, Y.,2019

3. Characteristics and mechanisms of long-lasting 2021–2022 summer Northeast Pacific warm blobs;Chen, J.,2023

4. Large-scale influences on atmospheric river–induced extreme precipitation events along the coast of Washington State;Collow, A. B. M.,2020

5. Dynamical drivers of the exceptional warmth over Siberia during the spring of 2020;DeAngelis, A. M.,2023

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