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Identifying a Leading Predictor of Arctic Stratospheric Ozone for April Precipitation in Eastern North America

Xuan Ma,F. Xie,Xiaosong Chen,Lei Wang,Guanyu Yang

Published 2022 in Remote Sensing

ABSTRACT

An analysis of the relationship between changes in Arctic stratospheric ozone (ASO) and precipitation in eastern North America (38°–54°N, 65°–87°W; PENA) was performed using observational and reanalysis data coupled with the Whole Atmosphere Community Climate Model version 4 (WACCM4). We found that March ASO exhibits a strong correlation with PENA in April, indicating that the one-month leading ASO exerts a potentially strong impact on April PENA. Changes in tropospheric circulation over the North Pacific and North America can be influenced by ASO anomalies via stratosphere–troposphere interactions. Increased ASO typically results in the transport of drier, colder air from northwest to eastern North America and suppresses local convective activity by enhancing regional downwelling. These conditions lead to a decrease in regional atmospheric water vapor content (1000–600 hPa). Abnormally high ASO may therefore suppress precipitation, whereas abnormally low ASO serves to enhance precipitation, and the finding is supported by WACCM4 simulations incorporating these ASO anomaly signals. We also present an ASO-based statistical linear model for predicting April PENA. Results confirm that the linear model reproduces April PENA for both training and testing periods, based on March ASO, demonstrating the reliability and stability of this linear model. This study verifies that ASO is a viable predictor for projecting April PENA and thus improving forecasts of regional seasonal precipitation.

PUBLICATION RECORD

  • Publication year

    2022

  • Venue

    Remote Sensing

  • Publication date

    2022-10-09

  • Fields of study

    Computer Science, Environmental Science

  • Identifiers
    DOI 10.3390/rs14195040
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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