Identifying a Leading Predictor of Arctic Stratospheric Ozone for April Precipitation in Eastern North America
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...
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ftmdpi:oai:mdpi.com:/2072-4292/14/19/5040/ 2023-08-20T04:04:06+02:00 Identifying a Leading Predictor of Arctic Stratospheric Ozone for April Precipitation in Eastern North America Xuan Ma Fei Xie Xiaosong Chen Lei Wang Guanyu Yang agris 2022-10-09 application/pdf https://doi.org/10.3390/rs14195040 EN eng Multidisciplinary Digital Publishing Institute Atmospheric Remote Sensing https://dx.doi.org/10.3390/rs14195040 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 19; Pages: 5040 Arctic stratospheric ozone precipitation prediction WACCM statistical linear model Text 2022 ftmdpi https://doi.org/10.3390/rs14195040 2023-08-01T06:48:38Z 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. Text Arctic MDPI Open Access Publishing Arctic Pacific Pena ENVELOPE(40.562,40.562,63.490,63.490) Remote Sensing 14 19 5040 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
Arctic stratospheric ozone precipitation prediction WACCM statistical linear model |
spellingShingle |
Arctic stratospheric ozone precipitation prediction WACCM statistical linear model Xuan Ma Fei Xie Xiaosong Chen Lei Wang Guanyu Yang Identifying a Leading Predictor of Arctic Stratospheric Ozone for April Precipitation in Eastern North America |
topic_facet |
Arctic stratospheric ozone precipitation prediction WACCM statistical linear model |
description |
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. |
format |
Text |
author |
Xuan Ma Fei Xie Xiaosong Chen Lei Wang Guanyu Yang |
author_facet |
Xuan Ma Fei Xie Xiaosong Chen Lei Wang Guanyu Yang |
author_sort |
Xuan Ma |
title |
Identifying a Leading Predictor of Arctic Stratospheric Ozone for April Precipitation in Eastern North America |
title_short |
Identifying a Leading Predictor of Arctic Stratospheric Ozone for April Precipitation in Eastern North America |
title_full |
Identifying a Leading Predictor of Arctic Stratospheric Ozone for April Precipitation in Eastern North America |
title_fullStr |
Identifying a Leading Predictor of Arctic Stratospheric Ozone for April Precipitation in Eastern North America |
title_full_unstemmed |
Identifying a Leading Predictor of Arctic Stratospheric Ozone for April Precipitation in Eastern North America |
title_sort |
identifying a leading predictor of arctic stratospheric ozone for april precipitation in eastern north america |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14195040 |
op_coverage |
agris |
long_lat |
ENVELOPE(40.562,40.562,63.490,63.490) |
geographic |
Arctic Pacific Pena |
geographic_facet |
Arctic Pacific Pena |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Remote Sensing; Volume 14; Issue 19; Pages: 5040 |
op_relation |
Atmospheric Remote Sensing https://dx.doi.org/10.3390/rs14195040 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs14195040 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
19 |
container_start_page |
5040 |
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1774714522399932416 |