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A Distinct Atmospheric Mode for California Precipitation
Author(s) -
Chen Di,
Norris Jesse,
Goldenson Naomi,
Thackeray Chad,
Hall Alex
Publication year - 2021
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
eISSN - 2169-8996
pISSN - 2169-897X
DOI - 10.1029/2020jd034403
Subject(s) - precipitation , environmental science , climatology , dry season , wet season , mode (computer interface) , atmospheric pressure , atmospheric sciences , geography , geology , meteorology , cartography , computer science , operating system
The hydrologic cycle in California is strongly influenced by wet‐season (November–April) precipitation. Here, we demonstrate the existence of an influential mode of North Pacific atmospheric pressure variability that regulates wet‐season precipitation variability over both northern and southern California. This mode, named as the “California precipitation mode” (CPM), is statistically distinct from other well‐known modes of pressure variability such as the Pacific‐North American pattern. In addition to controlling wet‐season mean precipitation, positive days of the CPM coincide with up to 90% of the extreme (>99th percentile) precipitation days and 76% of detected atmospheric rivers (ARs) days, while the negative days correspond with 60% of the dry days. CMIP6 models capture the CPM remarkably well, including its statistical separation from the other well‐known modes of pressure variability. The models also reproduce the CPM's strong association with California wet‐season precipitation, giving confidence in the models’ dynamics relating to regional hydrologic extremes. However, the models also exhibit biases in regional hydrologic extremes. The CPM is a useful way to understand the origins of those biases and select the more credible models for further analysis: Models with unrealistically strong gradients in the CPM pressure pattern generally oversimulate larger wet extremes and produce excessively long dry intervals in the historical period. Thus the hydrologic biases can be traced to the particular aspects of North Pacific atmospheric dynamics.

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