Potential Predictability of Southwest U.S. Rainfall: Role of Tropical and High-Latitude Variability
Abstract: This study explores the potential predictability of Southwest U.S. (SWUS) precipitation for the November–March season in a set of numerical experiments performed with the Whole Atmospheric Community Climate Model. In addition to the prescription of observed sea surface temperature and sea...
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ftcdlib:oai:escholarship.org:ark:/13030/qt5wr3q81j 2023-09-05T13:17:07+02:00 Potential Predictability of Southwest U.S. Rainfall: Role of Tropical and High-Latitude Variability Peings, Y Lim, Y Magnusdottir, G 1697 - 1717 2022-03-15 application/pdf https://escholarship.org/uc/item/5wr3q81j unknown eScholarship, University of California qt5wr3q81j https://escholarship.org/uc/item/5wr3q81j public Journal of Climate, vol 35, iss 6 Climate Action Climate prediction Climate variability ENSO Interannual variability Subseasonal variability Tropical variability Atmospheric Sciences Oceanography Geomatic Engineering Meteorology & Atmospheric Sciences article 2022 ftcdlib 2023-08-21T18:08:04Z Abstract: This study explores the potential predictability of Southwest U.S. (SWUS) precipitation for the November–March season in a set of numerical experiments performed with the Whole Atmospheric Community Climate Model. In addition to the prescription of observed sea surface temperature and sea ice concentration, observed variability from the MERRA-2 reanalysis is prescribed in the tropics and/or the Arctic through nudging of wind and temperature. These experiments reveal how a perfect prediction of tropical and/or Arctic variability in the model would impact the prediction of seasonal rainfall over the SWUS, at various time scales. Imposing tropical variability improves the representation of the observed North Pacific atmospheric circulation, and the associated SWUS seasonal precipitation. This is also the case at the subseasonal time scale due to the inclusion of the Madden–Julian oscillation (MJO) in the model. When additional nudging is applied in the Arctic, the model skill improves even further, suggesting that improving seasonal predictions in high latitudes may also benefit prediction of SWUS precipitation. An interesting finding of our study is that subseasonal variability represents a source of noise (i.e., limited predictability) for the seasonal time scale. This is because when prescribed in the model, subseasonal variability, mostly the MJO, weakens the El Niño–Southern Oscillation (ENSO) teleconnection with SWUS precipitation. Such knowledge may benefit S2S and seasonal prediction as it shows that depending on the amount of subseasonal activity in the tropics on a given year, better skill may be achieved in predicting subseasonal rather than seasonal rainfall anomalies, and conversely. Significance Statement: Subseasonal and seasonal predictability of precipitation over the Southwest United States (SWUS) during the wet season is challenging, and long-range forecasts from climate models still exhibit poor skill over this region. In this study we use numerical experiments with constrained ... Article in Journal/Newspaper Arctic Sea ice University of California: eScholarship Arctic Merra ENVELOPE(12.615,12.615,65.816,65.816) Pacific |
institution |
Open Polar |
collection |
University of California: eScholarship |
op_collection_id |
ftcdlib |
language |
unknown |
topic |
Climate Action Climate prediction Climate variability ENSO Interannual variability Subseasonal variability Tropical variability Atmospheric Sciences Oceanography Geomatic Engineering Meteorology & Atmospheric Sciences |
spellingShingle |
Climate Action Climate prediction Climate variability ENSO Interannual variability Subseasonal variability Tropical variability Atmospheric Sciences Oceanography Geomatic Engineering Meteorology & Atmospheric Sciences Peings, Y Lim, Y Magnusdottir, G Potential Predictability of Southwest U.S. Rainfall: Role of Tropical and High-Latitude Variability |
topic_facet |
Climate Action Climate prediction Climate variability ENSO Interannual variability Subseasonal variability Tropical variability Atmospheric Sciences Oceanography Geomatic Engineering Meteorology & Atmospheric Sciences |
description |
Abstract: This study explores the potential predictability of Southwest U.S. (SWUS) precipitation for the November–March season in a set of numerical experiments performed with the Whole Atmospheric Community Climate Model. In addition to the prescription of observed sea surface temperature and sea ice concentration, observed variability from the MERRA-2 reanalysis is prescribed in the tropics and/or the Arctic through nudging of wind and temperature. These experiments reveal how a perfect prediction of tropical and/or Arctic variability in the model would impact the prediction of seasonal rainfall over the SWUS, at various time scales. Imposing tropical variability improves the representation of the observed North Pacific atmospheric circulation, and the associated SWUS seasonal precipitation. This is also the case at the subseasonal time scale due to the inclusion of the Madden–Julian oscillation (MJO) in the model. When additional nudging is applied in the Arctic, the model skill improves even further, suggesting that improving seasonal predictions in high latitudes may also benefit prediction of SWUS precipitation. An interesting finding of our study is that subseasonal variability represents a source of noise (i.e., limited predictability) for the seasonal time scale. This is because when prescribed in the model, subseasonal variability, mostly the MJO, weakens the El Niño–Southern Oscillation (ENSO) teleconnection with SWUS precipitation. Such knowledge may benefit S2S and seasonal prediction as it shows that depending on the amount of subseasonal activity in the tropics on a given year, better skill may be achieved in predicting subseasonal rather than seasonal rainfall anomalies, and conversely. Significance Statement: Subseasonal and seasonal predictability of precipitation over the Southwest United States (SWUS) during the wet season is challenging, and long-range forecasts from climate models still exhibit poor skill over this region. In this study we use numerical experiments with constrained ... |
format |
Article in Journal/Newspaper |
author |
Peings, Y Lim, Y Magnusdottir, G |
author_facet |
Peings, Y Lim, Y Magnusdottir, G |
author_sort |
Peings, Y |
title |
Potential Predictability of Southwest U.S. Rainfall: Role of Tropical and High-Latitude Variability |
title_short |
Potential Predictability of Southwest U.S. Rainfall: Role of Tropical and High-Latitude Variability |
title_full |
Potential Predictability of Southwest U.S. Rainfall: Role of Tropical and High-Latitude Variability |
title_fullStr |
Potential Predictability of Southwest U.S. Rainfall: Role of Tropical and High-Latitude Variability |
title_full_unstemmed |
Potential Predictability of Southwest U.S. Rainfall: Role of Tropical and High-Latitude Variability |
title_sort |
potential predictability of southwest u.s. rainfall: role of tropical and high-latitude variability |
publisher |
eScholarship, University of California |
publishDate |
2022 |
url |
https://escholarship.org/uc/item/5wr3q81j |
op_coverage |
1697 - 1717 |
long_lat |
ENVELOPE(12.615,12.615,65.816,65.816) |
geographic |
Arctic Merra Pacific |
geographic_facet |
Arctic Merra Pacific |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Journal of Climate, vol 35, iss 6 |
op_relation |
qt5wr3q81j https://escholarship.org/uc/item/5wr3q81j |
op_rights |
public |
_version_ |
1776198421536833536 |