Predicting the seasonal evolution of southern African summer precipitation in the DePreSys3 prediction system

Paul-Arthur Monerie, Jon Robson, Buwen Dong, Bastien Dieppois, Benjamin Pohl, Nick Dunstone

Research output: Contribution to journalArticle

8 Downloads (Pure)

Abstract

We assess the ability of the DePreSys3 prediction system to predict austral summer precipitation (DJF) over southern Africa, defined as the African continent south of 15°S. DePresys3 is a high resolution prediction system (at a horizontal resolution of ~60km in the atmosphere in mid-latitudes and of the quarter degree in the Ocean) and spans the long period 1959-2016. We find skill in predicting interannual precipitation variability, relative to a long-term trend; the anomaly correlation skill score over southern Africa is greater than 0.45 for the first summer (i.e. lead month 2-4), and 0.37 over Mozambique, Zimbabwe and Zambia for the second summer (i.e. lead month 14-16). The skill is related to the successful prediction of the El-Nino Southern Oscillation (ENSO), and the successful simulation of ENSO teleconnections to southern Africa. However, overall skill is sensitive to the inclusion of strong La-Nina events and also appears to change with forecast epoch. For example, the skill in predicting precipitation over Mozambique is significantly larger for the first summer in the 1990-2016 period, compared to the 1959-1985 period. The difference in skill in predicting interannual precipitation variability over southern Africa in different epochs is consistent with a change in the strength of the observed teleconnections of ENSO. After 1990, and consistent with the increased skill, the observed impact of ENSO appears to strengthen over west Mozambique, in association with changes in ENSO related atmospheric convergence anomalies. However, these apparent changes in teleconnections are not captured by the ensemble-mean predictions using DePreSys3. The changes in the ENSO teleconnection are consistent with a warming over the Indian Ocean and modulation of ENSO properties between the different epochs, but may also be associated with unpredictable atmospheric variability.
Original languageEnglish
Pages (from-to)6491–6510
Number of pages20
JournalClimate Dynamics
Volume52
Issue number11
Early online date3 Nov 2018
DOIs
Publication statusPublished - 14 Jun 2019

Fingerprint

El Nino-Southern Oscillation
teleconnection
summer
prediction
anomaly
La Nina
warming
Southern Africa
atmosphere
ocean
simulation

Bibliographical note

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Keywords

  • Southern African precipitation
  • ENSO
  • Seasonal prediction
  • High resolution climate models

Cite this

Predicting the seasonal evolution of southern African summer precipitation in the DePreSys3 prediction system. / Monerie, Paul-Arthur; Robson, Jon; Dong, Buwen; Dieppois, Bastien; Pohl, Benjamin; Dunstone, Nick.

In: Climate Dynamics, Vol. 52, No. 11, 14.06.2019, p. 6491–6510.

Research output: Contribution to journalArticle

Monerie, Paul-Arthur ; Robson, Jon ; Dong, Buwen ; Dieppois, Bastien ; Pohl, Benjamin ; Dunstone, Nick. / Predicting the seasonal evolution of southern African summer precipitation in the DePreSys3 prediction system. In: Climate Dynamics. 2019 ; Vol. 52, No. 11. pp. 6491–6510.
@article{ed3da0104e3e4acf89e63a5ad18f0fe3,
title = "Predicting the seasonal evolution of southern African summer precipitation in the DePreSys3 prediction system",
abstract = "We assess the ability of the DePreSys3 prediction system to predict austral summer precipitation (DJF) over southern Africa, defined as the African continent south of 15°S. DePresys3 is a high resolution prediction system (at a horizontal resolution of ~60km in the atmosphere in mid-latitudes and of the quarter degree in the Ocean) and spans the long period 1959-2016. We find skill in predicting interannual precipitation variability, relative to a long-term trend; the anomaly correlation skill score over southern Africa is greater than 0.45 for the first summer (i.e. lead month 2-4), and 0.37 over Mozambique, Zimbabwe and Zambia for the second summer (i.e. lead month 14-16). The skill is related to the successful prediction of the El-Nino Southern Oscillation (ENSO), and the successful simulation of ENSO teleconnections to southern Africa. However, overall skill is sensitive to the inclusion of strong La-Nina events and also appears to change with forecast epoch. For example, the skill in predicting precipitation over Mozambique is significantly larger for the first summer in the 1990-2016 period, compared to the 1959-1985 period. The difference in skill in predicting interannual precipitation variability over southern Africa in different epochs is consistent with a change in the strength of the observed teleconnections of ENSO. After 1990, and consistent with the increased skill, the observed impact of ENSO appears to strengthen over west Mozambique, in association with changes in ENSO related atmospheric convergence anomalies. However, these apparent changes in teleconnections are not captured by the ensemble-mean predictions using DePreSys3. The changes in the ENSO teleconnection are consistent with a warming over the Indian Ocean and modulation of ENSO properties between the different epochs, but may also be associated with unpredictable atmospheric variability.",
keywords = "Southern African precipitation, ENSO, Seasonal prediction, High resolution climate models",
author = "Paul-Arthur Monerie and Jon Robson and Buwen Dong and Bastien Dieppois and Benjamin Pohl and Nick Dunstone",
note = "This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.",
year = "2019",
month = "6",
day = "14",
doi = "10.1007/s00382-018-4526-3",
language = "English",
volume = "52",
pages = "6491–6510",
journal = "Climate Dynamics",
issn = "0930-7575",
publisher = "Springer Verlag",
number = "11",

}

TY - JOUR

T1 - Predicting the seasonal evolution of southern African summer precipitation in the DePreSys3 prediction system

AU - Monerie, Paul-Arthur

AU - Robson, Jon

AU - Dong, Buwen

AU - Dieppois, Bastien

AU - Pohl, Benjamin

AU - Dunstone, Nick

N1 - This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

PY - 2019/6/14

Y1 - 2019/6/14

N2 - We assess the ability of the DePreSys3 prediction system to predict austral summer precipitation (DJF) over southern Africa, defined as the African continent south of 15°S. DePresys3 is a high resolution prediction system (at a horizontal resolution of ~60km in the atmosphere in mid-latitudes and of the quarter degree in the Ocean) and spans the long period 1959-2016. We find skill in predicting interannual precipitation variability, relative to a long-term trend; the anomaly correlation skill score over southern Africa is greater than 0.45 for the first summer (i.e. lead month 2-4), and 0.37 over Mozambique, Zimbabwe and Zambia for the second summer (i.e. lead month 14-16). The skill is related to the successful prediction of the El-Nino Southern Oscillation (ENSO), and the successful simulation of ENSO teleconnections to southern Africa. However, overall skill is sensitive to the inclusion of strong La-Nina events and also appears to change with forecast epoch. For example, the skill in predicting precipitation over Mozambique is significantly larger for the first summer in the 1990-2016 period, compared to the 1959-1985 period. The difference in skill in predicting interannual precipitation variability over southern Africa in different epochs is consistent with a change in the strength of the observed teleconnections of ENSO. After 1990, and consistent with the increased skill, the observed impact of ENSO appears to strengthen over west Mozambique, in association with changes in ENSO related atmospheric convergence anomalies. However, these apparent changes in teleconnections are not captured by the ensemble-mean predictions using DePreSys3. The changes in the ENSO teleconnection are consistent with a warming over the Indian Ocean and modulation of ENSO properties between the different epochs, but may also be associated with unpredictable atmospheric variability.

AB - We assess the ability of the DePreSys3 prediction system to predict austral summer precipitation (DJF) over southern Africa, defined as the African continent south of 15°S. DePresys3 is a high resolution prediction system (at a horizontal resolution of ~60km in the atmosphere in mid-latitudes and of the quarter degree in the Ocean) and spans the long period 1959-2016. We find skill in predicting interannual precipitation variability, relative to a long-term trend; the anomaly correlation skill score over southern Africa is greater than 0.45 for the first summer (i.e. lead month 2-4), and 0.37 over Mozambique, Zimbabwe and Zambia for the second summer (i.e. lead month 14-16). The skill is related to the successful prediction of the El-Nino Southern Oscillation (ENSO), and the successful simulation of ENSO teleconnections to southern Africa. However, overall skill is sensitive to the inclusion of strong La-Nina events and also appears to change with forecast epoch. For example, the skill in predicting precipitation over Mozambique is significantly larger for the first summer in the 1990-2016 period, compared to the 1959-1985 period. The difference in skill in predicting interannual precipitation variability over southern Africa in different epochs is consistent with a change in the strength of the observed teleconnections of ENSO. After 1990, and consistent with the increased skill, the observed impact of ENSO appears to strengthen over west Mozambique, in association with changes in ENSO related atmospheric convergence anomalies. However, these apparent changes in teleconnections are not captured by the ensemble-mean predictions using DePreSys3. The changes in the ENSO teleconnection are consistent with a warming over the Indian Ocean and modulation of ENSO properties between the different epochs, but may also be associated with unpredictable atmospheric variability.

KW - Southern African precipitation

KW - ENSO

KW - Seasonal prediction

KW - High resolution climate models

UR - http://www.scopus.com/inward/record.url?scp=85055996881&partnerID=8YFLogxK

U2 - 10.1007/s00382-018-4526-3

DO - 10.1007/s00382-018-4526-3

M3 - Article

VL - 52

SP - 6491

EP - 6510

JO - Climate Dynamics

JF - Climate Dynamics

SN - 0930-7575

IS - 11

ER -