Verification of South African Weather Service operational seasonal forecasts

The South African Weather Service rainfall seasonal forecasts are verified for the period of January-February-March to October-November-December 1998-2004. These forecasts are compiled using different models from different institutions. Probability seasonal forecasts can be evaluated using different...

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Main Author: Moatshe, Peggy Seanokeng
Other Authors: Landman, W.A. (Willem Adolf), 1964-
Published: University of Pretoria 2013
Subjects:
Roc
Rd
Online Access:http://hdl.handle.net/2263/27145
Moatshe, PS 2008, Verification of South African Weather Service operational seasonal forecasts, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/27145 >
http://upetd.up.ac.za/thesis/available/etd-08112009-131703/
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-up-oai-repository.up.ac.za-2263-271452020-06-02T03:18:47Z Verification of South African Weather Service operational seasonal forecasts Moatshe, Peggy Seanokeng Landman, W.A. (Willem Adolf), 1964- South African Weather Service Reliability diagram Roc Relative operating characteristics Rd Seasonal forecast UCTD The South African Weather Service rainfall seasonal forecasts are verified for the period of January-February-March to October-November-December 1998-2004. These forecasts are compiled using different models from different institutions. Probability seasonal forecasts can be evaluated using different skill measures, but in this study the Ranked Probability Skill Score (RPSS), Reliability Diagram (RD) and Relative Operating Characteristics (ROC) are used. The RPSS is presented in the form of maps whereas the RD and ROC are analyses are presented in the form of graphs. The aim of the study is to present skill estimates of operational seasonal forecasts issued at South African Weather Service A limited number of forecasts show positive RPSS value throughout the validation period. From RD and ROC analysis, there is no skill in predicting the normal category as compared to below-normal and above-normal categories. Notwithstanding, the frequency diagrams show that the normal category was often given a large weight in the operational forecasts. The value of verifying seasonal forecast accuracy from the user’s perspective is important. The understanding of seasonal forecast performance helps decision makers to determine when and how to respond to expected climate anomalies. Therefore the frequent update of the seasonal forecast verification is important in order to help Users make better decisions. Copyright Dissertation (MSc)--University of Pretoria, 2008. Geography, Geoinformatics and Meteorology Unrestricted 2013-09-07T10:46:30Z 2009-09-04 2013-09-07T10:46:30Z 2009-04-17 2008 2009-08-11 Dissertation http://hdl.handle.net/2263/27145 Moatshe, PS 2008, Verification of South African Weather Service operational seasonal forecasts, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/27145 > E1360/gm http://upetd.up.ac.za/thesis/available/etd-08112009-131703/ © 2008, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. University of Pretoria
collection NDLTD
sources NDLTD
topic South African Weather Service
Reliability diagram
Roc
Relative operating characteristics
Rd
Seasonal forecast
UCTD
spellingShingle South African Weather Service
Reliability diagram
Roc
Relative operating characteristics
Rd
Seasonal forecast
UCTD
Moatshe, Peggy Seanokeng
Verification of South African Weather Service operational seasonal forecasts
description The South African Weather Service rainfall seasonal forecasts are verified for the period of January-February-March to October-November-December 1998-2004. These forecasts are compiled using different models from different institutions. Probability seasonal forecasts can be evaluated using different skill measures, but in this study the Ranked Probability Skill Score (RPSS), Reliability Diagram (RD) and Relative Operating Characteristics (ROC) are used. The RPSS is presented in the form of maps whereas the RD and ROC are analyses are presented in the form of graphs. The aim of the study is to present skill estimates of operational seasonal forecasts issued at South African Weather Service A limited number of forecasts show positive RPSS value throughout the validation period. From RD and ROC analysis, there is no skill in predicting the normal category as compared to below-normal and above-normal categories. Notwithstanding, the frequency diagrams show that the normal category was often given a large weight in the operational forecasts. The value of verifying seasonal forecast accuracy from the user’s perspective is important. The understanding of seasonal forecast performance helps decision makers to determine when and how to respond to expected climate anomalies. Therefore the frequent update of the seasonal forecast verification is important in order to help Users make better decisions. Copyright === Dissertation (MSc)--University of Pretoria, 2008. === Geography, Geoinformatics and Meteorology === Unrestricted
author2 Landman, W.A. (Willem Adolf), 1964-
author_facet Landman, W.A. (Willem Adolf), 1964-
Moatshe, Peggy Seanokeng
author Moatshe, Peggy Seanokeng
author_sort Moatshe, Peggy Seanokeng
title Verification of South African Weather Service operational seasonal forecasts
title_short Verification of South African Weather Service operational seasonal forecasts
title_full Verification of South African Weather Service operational seasonal forecasts
title_fullStr Verification of South African Weather Service operational seasonal forecasts
title_full_unstemmed Verification of South African Weather Service operational seasonal forecasts
title_sort verification of south african weather service operational seasonal forecasts
publisher University of Pretoria
publishDate 2013
url http://hdl.handle.net/2263/27145
Moatshe, PS 2008, Verification of South African Weather Service operational seasonal forecasts, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/27145 >
http://upetd.up.ac.za/thesis/available/etd-08112009-131703/
work_keys_str_mv AT moatshepeggyseanokeng verificationofsouthafricanweatherserviceoperationalseasonalforecasts
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