Thesis from WMO Fellowship Division
Thesis from the WMO Fellowship Division
For several decades, through its fellowship programme, WMO has trained many experts from developing countries. Highly commendable theses/dissertations have been prepared by these fellows in partial fulfillment of requirements for their post-graduate studies.
Given the limited information available to experts and students alike on issues related to meteorology, hydrology and allied disciplines we wish to share as much research related information as possible, through the WMO online library, on the work of the postgraduate fellows. Hence, this online dissemination of excerpts of theses/dissertations prepared by WMO fellows.
We hope readers will find the materials useful. Should you have any inquires, please contact fel(at)wmo.int (Please replace (at) by @).
You can search a publication by using the filters on the right of the screen or by clicking in "Refine your search". It will display search criteria: search by title, by topic or by language for example.



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Verification of the TIGGE and WRF Models in forecasting the precipitation event for 3rd February 2010 over Zambia
Nkonde Edson - NOAA, 2010In this case study, attempt was made to verify the performances of the TIGGE and WRF models in simulating rainfall over southern Africa for the period from 1st November 2009 to 10th February 2010, with 24 and 48 hrs lead time. We have tested the skills of the models in forecasting heavy rainfall event, in excess of 40mm per day. Special emphasis was given to rainfall event that occurred on the 3rd of February 2010 over Zambia. The associated atmospheric conditions prior and during the rainfall event were also analyzed, both in analysis and forecasted fields.
Over Southern Africa, all th ...
Verification of the TIGGE and WRF Models in forecasting the precipitation event for 3rd February 2010 over Zambia
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Published by: NOAA ; 2010
In this case study, attempt was made to verify the performances of the TIGGE and WRF models in simulating rainfall over southern Africa for the period from 1st November 2009 to 10th February 2010, with 24 and 48 hrs lead time. We have tested the skills of the models in forecasting heavy rainfall event, in excess of 40mm per day. Special emphasis was given to rainfall event that occurred on the 3rd of February 2010 over Zambia. The associated atmospheric conditions prior and during the rainfall event were also analyzed, both in analysis and forecasted fields.
Over Southern Africa, all the models followed the general pattern of the observed rainfall but missed extreme rainfall events, with the BOM model under forecasting throughout the period. The overall statistical verification methods indicate good performance for the ECWMF model over southern Africa while showing that the BOM model underperformed.
For the 3rd February rainfall events over Zambia, the CPC/RFE performed well in estimating rainfall amount and distribution over Zambia. The model evaluation for the rainfall event of 3rd February, 2010 indicates the NCEP model performed better in capturing the pattern of events as compared with the other TIGGE models. The NCEP model had minimum errors overall and showed a better correlation between the observed and forecasted rainfall over Zambia. The NCEP model consistently performed well with all the statistical verification tests carried out over Zambia.Notes: If you wish to download the full text, please contact library(at)wmo.int (Please replace (at) by @).
Language(s): English
Format: Digital (Available online for logged-in users), Hard copy (ill., charts, maps)Tags: Water ; Precipitation forecasting ; Hydrological forecast ; Zambia ; Thesis - WMO Fellowship Division
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Understanding the predictabilty and seasonal rainfall variability patterns during OND and JFM over DRCongo
The objective of this work is thus to enhance an understanding on the regional and global patterns that may contribute to the knowledge of the variability and predictability of OND and JFM rains season over DRC for a better prediction of the rains season and also to improve the DRC seasonal models for a better decisions makers, and also assist potentials users on their needs.
Understanding the predictabilty and seasonal rainfall variability patterns during OND and JFM over DRCongo
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Published by: African Climate Desk ; 2009
The objective of this work is thus to enhance an understanding on the regional and global patterns that may contribute to the knowledge of the variability and predictability of OND and JFM rains season over DRC for a better prediction of the rains season and also to improve the DRC seasonal models for a better decisions makers, and also assist potentials users on their needs.
Notes: If you wish to download the full text, please contact library(at)wmo.int (Please replace (at) by @).
Language(s): English
Format: Digital (Available online for logged-in users)Tags: Research ; Seasonal change ; Precipitation forecasting ; Democratic Republic of Congo ; Thesis - WMO Fellowship Division
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Verification of NCEP-GFS model forecast versus NCEP/CPC RFE over DRCONGO from October to December 2008 : NOAA Project Report
Kalaki Kasongo Ado - NOAA, 2009Introduction: Model verification is an essential part of a Weather Prediction system. It is a helpful knowledge to enhance the forecaster’s assessment in Weather bulletin production. The aim of this study is to compare the global Forecast system (GFS) model rainfall prediction accumulated for 24 hours and averaged over October, November and December 2008 with the African Rain Fall Estimate (RFE 2.0) (Love et al.,2002) over DRCongo and the neighboring areas (from 15S to 6N latitudes and from 10E to 32E longitudes) fig.0.
Verification of NCEP-GFS model forecast versus NCEP/CPC RFE over DRCONGO from October to December 2008: NOAA Project Report
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Published by: NOAA ; 2009
Introduction: Model verification is an essential part of a Weather Prediction system. It is a helpful knowledge to enhance the forecaster’s assessment in Weather bulletin production. The aim of this study is to compare the global Forecast system (GFS) model rainfall prediction accumulated for 24 hours and averaged over October, November and December 2008 with the African Rain Fall Estimate (RFE 2.0) (Love et al.,2002) over DRCongo and the neighboring areas (from 15S to 6N latitudes and from 10E to 32E longitudes) fig.0.
Notes: If you wish to download the full text, please contact library(at)wmo.int (Please replace (at) by @).
Language(s): English
Format: Digital (Available online for logged-in users)Tags: Research ; Weather forecasting ; Modelling ; Democratic Republic of Congo ; Thesis - WMO Fellowship Division
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Towards improved seasonal rainfall forecast over Malawi : research report for WMO Class II 2005 to 2006
World Meteorological Organization (WMO) ; Institute for Meteorological Training and Research (IMTR) - IMTR, 2006Extreme climate events such as floods and droughts have devastating socio-economic impacts associated with food shortages, famine, lack of energy, water, shelter and other major basic needs. Because these events are recurrent in nature, effective, accurate and timely prediction and early warning of these events can enable Governments and other stakeholders to put into motion appropriate actions for mitigating or alleviating their adverse impacts. In this study, the relationship between seasonal rainfall and global Sea Surface Temperature anomalies was examined. The analysis was based primarily ...
Towards improved seasonal rainfall forecast over Malawi: research report for WMO Class II 2005 to 2006
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World Meteorological Organization (WMO) ; Institute for Meteorological Training and Research
Published by: IMTR ; 2006Extreme climate events such as floods and droughts have devastating socio-economic impacts associated with food shortages, famine, lack of energy, water, shelter and other major basic needs. Because these events are recurrent in nature, effective, accurate and timely prediction and early warning of these events can enable Governments and other stakeholders to put into motion appropriate actions for mitigating or alleviating their adverse impacts. In this study, the relationship between seasonal rainfall and global Sea Surface Temperature anomalies was examined. The analysis was based primarily on empirical statistical modeling using observed rainfall data from 9 meteorological stations spread over the entire Malawi spanning 35 years i.e. 1970-2005. The missing data in some stations were estimated using correlation and regression methods while single mass curve technique was employed to check the homogeneity of the rainfall data for all stations. Other methods employed in the study include correlation analysis, standardization, regression analysis, analysis of variance (ANOVA) and model verification technique.
Notes: If you wish to download the full text, please contact library(at)wmo.int (Please replace (at) by @).
Language(s): English
Format: Digital (Available online for logged-in users) (ill., charts, maps)Tags: Weather ; Early warning systems ; Seasonal forecast ; Precipitation forecasting ; Malawi ; Thesis - WMO Fellowship Division
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WMO Fellowships
The purpose of the WMO Fellowship Programme is to enable the fellowship holders to derive from their training the knowledge and professional competence which will increase their ability to make essential contribution to enhancing the capabilities of the National Meteorological and Hydrological Services (NMHS) and enable them to participate more actively in the economic and social development of their countries.
Available online: http://www.wmo.int/pages/prog/dra/etrp/fellowships/fellowsintouch.php
Published by: WMO
The purpose of the WMO Fellowship Programme is to enable the fellowship holders to derive from their training the knowledge and professional competence which will increase their ability to make essential contribution to enhancing the capabilities of the National Meteorological and Hydrological Services (NMHS) and enable them to participate more actively in the economic and social development of their countries.
Language(s): English
Format: Digital (Standard Copyright)Tags: Capacity development ; National Meteorological and Hydrological Service (NMHS) ; Training ; Education and Training Programme (ETRP)
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