Variability of the cold season climate in central asia. Part II: Hydroclimatic predictability
International audience Central Asia (CA) is subjected to a large variability of precipitation. This study presents a statistical model, relating precipitation anomalies in three subregions of CA in the cold season (November-March) with various predictors in the preceding October. Promising forecast...
Published in: | Journal of Climate |
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Main Authors: | , , , , , |
Other Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2019
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Subjects: | |
Online Access: | https://hal.inrae.fr/hal-02618895 https://hal.inrae.fr/hal-02618895/document https://hal.inrae.fr/hal-02618895/file/%5B15200442%20-%20Journal%20of%20Climate%5D%20Variability%20of%20the%20Cold%20Season%20Climate%20in%20Central%20Asia.%20Part%20II%20Hydroclimatic%20Predictability.pdf https://doi.org/10.1175/JCLI-D-18-0892.1 |
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Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
asia seasonal forecasting north atlantic oscillation southern oscillation climate prediction [SDV]Life Sciences [q-bio] [SDU]Sciences of the Universe [physics] |
spellingShingle |
asia seasonal forecasting north atlantic oscillation southern oscillation climate prediction [SDV]Life Sciences [q-bio] [SDU]Sciences of the Universe [physics] Gerlitz, Lars Steirou, Eva Schneider, Christoph Moron, Vincent Vorogushyn, Sergiy Merz, Bruno Variability of the cold season climate in central asia. Part II: Hydroclimatic predictability |
topic_facet |
asia seasonal forecasting north atlantic oscillation southern oscillation climate prediction [SDV]Life Sciences [q-bio] [SDU]Sciences of the Universe [physics] |
description |
International audience Central Asia (CA) is subjected to a large variability of precipitation. This study presents a statistical model, relating precipitation anomalies in three subregions of CA in the cold season (November-March) with various predictors in the preceding October. Promising forecast skill is achieved for two subregions covering 1) Uzbekistan, Turkmenistan, Kyrgyzstan, Tajikistan, and southern Kazakhstan and 2) Iran, Afghanistan, and Pakistan. ENSO in October is identified as the major predictor. Eurasian snow cover and the quasi-biennial oscillation further improve the forecast performance. To understand the physical mechanisms, an analysis of teleconnections between these predictors and the wintertime circulation over CA is conducted. The correlation analysis of predictors and large-scale circulation indices suggests a seasonal persistence of tropical circulation modes and a dynamical forcing of the westerly circulation by snow cover variations over Eurasia. An EOF analysis of pressure and humidity patterns allows separating the circulation variability over CA into westerly and tropical modes and confirms that the identified predictors affect the respective circulation characteristics. Based on the previously established weather type classification for CA, the predictors are investigated with regard to their effect on the regional circulation. The results suggest a modification of the Hadley cell due to ENSO variations, with enhanced moisture supply from the Arabian Gulf during El Nino. They further indicate an influence of Eurasian snow cover on the wintertime Arctic Oscillation (AO) and Northern Hemispheric Rossby wave tracks. Positive anomalies favor weather types associated with dry conditions, while negative anomalies promote the formation of a quasi-stationary trough over CA, which typically occurs during positive AO conditions. |
author2 |
Hydrology Section German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ) Humboldt-Universität zu Berlin = Humboldt University of Berlin = Université Humboldt de Berlin (HU Berlin) Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE) Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) University of Potsdam = Universität Potsdam |
format |
Article in Journal/Newspaper |
author |
Gerlitz, Lars Steirou, Eva Schneider, Christoph Moron, Vincent Vorogushyn, Sergiy Merz, Bruno |
author_facet |
Gerlitz, Lars Steirou, Eva Schneider, Christoph Moron, Vincent Vorogushyn, Sergiy Merz, Bruno |
author_sort |
Gerlitz, Lars |
title |
Variability of the cold season climate in central asia. Part II: Hydroclimatic predictability |
title_short |
Variability of the cold season climate in central asia. Part II: Hydroclimatic predictability |
title_full |
Variability of the cold season climate in central asia. Part II: Hydroclimatic predictability |
title_fullStr |
Variability of the cold season climate in central asia. Part II: Hydroclimatic predictability |
title_full_unstemmed |
Variability of the cold season climate in central asia. Part II: Hydroclimatic predictability |
title_sort |
variability of the cold season climate in central asia. part ii: hydroclimatic predictability |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.inrae.fr/hal-02618895 https://hal.inrae.fr/hal-02618895/document https://hal.inrae.fr/hal-02618895/file/%5B15200442%20-%20Journal%20of%20Climate%5D%20Variability%20of%20the%20Cold%20Season%20Climate%20in%20Central%20Asia.%20Part%20II%20Hydroclimatic%20Predictability.pdf https://doi.org/10.1175/JCLI-D-18-0892.1 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic North Atlantic North Atlantic oscillation |
genre_facet |
Arctic North Atlantic North Atlantic oscillation |
op_source |
ISSN: 0894-8755 EISSN: 1520-0442 Journal of Climate https://hal.inrae.fr/hal-02618895 Journal of Climate, 2019, 32 (18), pp.6015-6033. ⟨10.1175/JCLI-D-18-0892.1⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1175/JCLI-D-18-0892.1 hal-02618895 https://hal.inrae.fr/hal-02618895 https://hal.inrae.fr/hal-02618895/document https://hal.inrae.fr/hal-02618895/file/%5B15200442%20-%20Journal%20of%20Climate%5D%20Variability%20of%20the%20Cold%20Season%20Climate%20in%20Central%20Asia.%20Part%20II%20Hydroclimatic%20Predictability.pdf doi:10.1175/JCLI-D-18-0892.1 PRODINRA: 487212 WOS: 000481822600003 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1175/JCLI-D-18-0892.1 |
container_title |
Journal of Climate |
container_volume |
32 |
container_issue |
18 |
container_start_page |
6015 |
op_container_end_page |
6033 |
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1788694524263923712 |
spelling |
ftinsu:oai:HAL:hal-02618895v1 2024-01-21T10:04:07+01:00 Variability of the cold season climate in central asia. Part II: Hydroclimatic predictability Gerlitz, Lars Steirou, Eva Schneider, Christoph Moron, Vincent Vorogushyn, Sergiy Merz, Bruno Hydrology Section German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ) Humboldt-Universität zu Berlin = Humboldt University of Berlin = Université Humboldt de Berlin (HU Berlin) Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE) Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) University of Potsdam = Universität Potsdam 2019 https://hal.inrae.fr/hal-02618895 https://hal.inrae.fr/hal-02618895/document https://hal.inrae.fr/hal-02618895/file/%5B15200442%20-%20Journal%20of%20Climate%5D%20Variability%20of%20the%20Cold%20Season%20Climate%20in%20Central%20Asia.%20Part%20II%20Hydroclimatic%20Predictability.pdf https://doi.org/10.1175/JCLI-D-18-0892.1 en eng HAL CCSD American Meteorological Society info:eu-repo/semantics/altIdentifier/doi/10.1175/JCLI-D-18-0892.1 hal-02618895 https://hal.inrae.fr/hal-02618895 https://hal.inrae.fr/hal-02618895/document https://hal.inrae.fr/hal-02618895/file/%5B15200442%20-%20Journal%20of%20Climate%5D%20Variability%20of%20the%20Cold%20Season%20Climate%20in%20Central%20Asia.%20Part%20II%20Hydroclimatic%20Predictability.pdf doi:10.1175/JCLI-D-18-0892.1 PRODINRA: 487212 WOS: 000481822600003 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 0894-8755 EISSN: 1520-0442 Journal of Climate https://hal.inrae.fr/hal-02618895 Journal of Climate, 2019, 32 (18), pp.6015-6033. ⟨10.1175/JCLI-D-18-0892.1⟩ asia seasonal forecasting north atlantic oscillation southern oscillation climate prediction [SDV]Life Sciences [q-bio] [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2019 ftinsu https://doi.org/10.1175/JCLI-D-18-0892.1 2023-12-27T17:23:23Z International audience Central Asia (CA) is subjected to a large variability of precipitation. This study presents a statistical model, relating precipitation anomalies in three subregions of CA in the cold season (November-March) with various predictors in the preceding October. Promising forecast skill is achieved for two subregions covering 1) Uzbekistan, Turkmenistan, Kyrgyzstan, Tajikistan, and southern Kazakhstan and 2) Iran, Afghanistan, and Pakistan. ENSO in October is identified as the major predictor. Eurasian snow cover and the quasi-biennial oscillation further improve the forecast performance. To understand the physical mechanisms, an analysis of teleconnections between these predictors and the wintertime circulation over CA is conducted. The correlation analysis of predictors and large-scale circulation indices suggests a seasonal persistence of tropical circulation modes and a dynamical forcing of the westerly circulation by snow cover variations over Eurasia. An EOF analysis of pressure and humidity patterns allows separating the circulation variability over CA into westerly and tropical modes and confirms that the identified predictors affect the respective circulation characteristics. Based on the previously established weather type classification for CA, the predictors are investigated with regard to their effect on the regional circulation. The results suggest a modification of the Hadley cell due to ENSO variations, with enhanced moisture supply from the Arabian Gulf during El Nino. They further indicate an influence of Eurasian snow cover on the wintertime Arctic Oscillation (AO) and Northern Hemispheric Rossby wave tracks. Positive anomalies favor weather types associated with dry conditions, while negative anomalies promote the formation of a quasi-stationary trough over CA, which typically occurs during positive AO conditions. Article in Journal/Newspaper Arctic North Atlantic North Atlantic oscillation Institut national des sciences de l'Univers: HAL-INSU Arctic Journal of Climate 32 18 6015 6033 |