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  <title>WASCAL Scholar Community: A long essay, dissertation or thesis involving personal research, written by postgraduates for a degree.</title>
  <link rel="alternate" href="http://197.159.135.214/jspui/handle/123456789/3" />
  <subtitle>A long essay, dissertation or thesis involving personal research, written by postgraduates for a degree.</subtitle>
  <id>http://197.159.135.214/jspui/handle/123456789/3</id>
  <updated>2026-06-24T14:44:21Z</updated>
  <dc:date>2026-06-24T14:44:21Z</dc:date>
  <entry>
    <title>Modelling the Impact of Coastal Urbanization on the West African Summer Monsoon Climate</title>
    <link rel="alternate" href="http://197.159.135.214/jspui/handle/123456789/1249" />
    <author>
      <name>Faye, Aissatou</name>
    </author>
    <id>http://197.159.135.214/jspui/handle/123456789/1249</id>
    <updated>2026-06-24T14:19:40Z</updated>
    <published>2019-10-01T00:00:00Z</published>
    <summary type="text">Title: Modelling the Impact of Coastal Urbanization on the West African Summer Monsoon Climate
Authors: Faye, Aissatou
Abstract: A lot of research has been done to understand and improve the relationship between&#xD;
land use and land cover modification vis-a-vis their interaction with the West African&#xD;
climate variability and climate change. However, the urbanization influence on the West&#xD;
African climate is not yet an elaborately researched subject of studies. In this context,&#xD;
this thesis examines the impact of coastal urbanization on the West African summer&#xD;
climate, by using the Regional Climate Model version 4 (RegCM4) coupled with the&#xD;
Community Land Surface Model version 4.5 (CLM4.5). A series of experiments were&#xD;
performed, in the present-day climate (1984-2005) and the RCP8.5 far future (2079-&#xD;
2100), at 25 Km of horizontal resolution over the West African domain. Two types of&#xD;
simulations were performed with and without modification of the natural vegetation&#xD;
land cover with the urban parameterization (CLMU). Results from the model evaluation&#xD;
show the good performance of RegCM4 to simulate the main climatic variables and&#xD;
atmospheric circulation over West Africa during the June-September (JJAS) summer&#xD;
months. Arguably, RegCM4 reproduces well the spatio-temporal pattern of rainfall and&#xD;
temperature over West Africa in comparison with observations datasets. Again, the&#xD;
model’s capability to reproduce the West African atmospheric circulation drives and&#xD;
atmospheric variables compared to reanalyses was examined. RegCM4 gives a good&#xD;
representation of atmospheric circulation from the lower to the upper troposphere.&#xD;
The projected changes in West African climate under RCP8.5 and both RCP8.5 and&#xD;
urbanization were evaluated. For all the simulations, a significant warming is expected&#xD;
over the whole West Africa and will be more pronounced in the Sahel-Sahara at the end&#xD;
of the 21st century. A significant increase in temperature is also expected along the West&#xD;
African coastal region which corresponded to the ‘perturbed’ region. In the precipitation simulations, all the different simulations projected drier conditions in visually the entire&#xD;
West African region. However, the expected change is less significant in the combined&#xD;
urban expansion and RCP8.5 simulations. Evaluation of contribution due to&#xD;
urbanization alone shows that the change in the land cover gave a response of an average&#xD;
increase in temperature of approximately 3ºC over the urbanized region. The results&#xD;
imply that urban effects can reach the same magnitude as global warming. This warming&#xD;
could be a result of the urban heat island processes. Precipitation in the urbanized region&#xD;
and their sub-urban regions shows an increase of at least ~10%. This means that&#xD;
urbanization has both local and regional effects on the precipitation in West Africa.&#xD;
Furthermore, the results show that the characteristics of some atmospheric circulation&#xD;
such as AEJ and AEWs would change in the future climate. For example, a southward&#xD;
displacement of the AEJ position was observed which can explain the projected drier&#xD;
conditions in the region, especially in the Sahel part. Moreover, it should be noted that&#xD;
urbanization influences the atmospheric circulation drivers through the AEJ and AEWs.&#xD;
More convective activities are found under urban conditions and the sensitivity of the&#xD;
AWEs to the land surface conditions is noticed.
Description: A Thesis submitted to the West African Science Service Centre on Climate Change and Adapted Land Use and the Federal University of Technology, Akure, Nigeria, in partial fulfillment of the requirements for the degree of Doctor of Philosophy Degree in West African Climate Systems</summary>
    <dc:date>2019-10-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Evaluation of Weather Research and Forecasting Model Physics in Simulating West African Monsoon</title>
    <link rel="alternate" href="http://197.159.135.214/jspui/handle/123456789/1248" />
    <author>
      <name>Gbode, Imole Ezekiel</name>
    </author>
    <id>http://197.159.135.214/jspui/handle/123456789/1248</id>
    <updated>2026-06-24T14:12:14Z</updated>
    <published>2019-09-01T00:00:00Z</published>
    <summary type="text">Title: Evaluation of Weather Research and Forecasting Model Physics in Simulating West African Monsoon
Authors: Gbode, Imole Ezekiel
Abstract: This research evaluates the ability of Weather Research and Forecasting model&#xD;
physics in simulating the West African monsoon. The purpose is to identify a possible&#xD;
model physics combinations in the WRF model whose outputs can be used to inform&#xD;
weather- and climate-related decision-making process at local to regional scale. In the&#xD;
study, the sensitivity of West African Monsoon (WAM) regimes to three model physics&#xD;
(i.e. Cumulus (CU), Microphysics (MP) and Planetary Boundary Layer (PBL)&#xD;
parameterization schemes) is assessed, performance of the model in representing the&#xD;
WAM dynamics is evaluated and impact of warming climate on WAM under the RCP8.5&#xD;
scenario is also assessed.&#xD;
Twenty-seven (27) WRF simulations of the August-September 2007 monsoon&#xD;
regime at a 20-km grid over West Africa were evaluated to investigate the sensitivity of&#xD;
the WAM regime to the three model physics. The focus was on precipitation and surface&#xD;
temperature during the simulated period. The model’s precipitation was evaluated against&#xD;
the TRMM (reference), CMORPH and GPCP satellite rainfall products. Also, the surface&#xD;
temperature was evaluated against the ERA-Interim (reference), NCEP, MERRA, and&#xD;
GSAT. Results showed that all model physics combinations simulated the diurnal cycles&#xD;
of surface temperature better than the simulation of precipitation. A comparative model&#xD;
skill score was developed and used to identify that combination of WSM5-MYNN-nTDK&#xD;
and GD-MYJ-BMJ are best performing physics combinations in both temperature and&#xD;
precipitation. Also, the three WRF model physics combinations reproduced the&#xD;
characteristics of the region’s monsoon during selected normal (2007), wet (2008 and&#xD;
2010) and dry (2001 and 2011) years. The dynamics of WAM such as monsoon flow, African Easterly Jet, and Tropical Easterly Jet, are replicated by most of the model&#xD;
combinations. Therefore, underscoring the strong potential impact of regional moisture,&#xD;
heat and momentum transport and redistribution on the monsoon dynamics as prescribed&#xD;
by the physics.&#xD;
Lastly, the Pseudo-Global Warming (PGW) simulation method perturbed by&#xD;
CESM1.0-CAM5.2 is employed to assess the impact of warming on WAM, the result&#xD;
shows a slight increase in precipitation amount (-2 to 16%) in the 2070s when compared&#xD;
with the current (reference) climate. This change is expected to be more pronounced in&#xD;
the Sahel, where the value is 16%, and less than 3% in the Guinea Coast. Furthermore,&#xD;
there is a decrease (increase) in both light and moderate (heavy) rainfall days.&#xD;
The outcomes of this research underscore the significance of WRF model as a&#xD;
potentially useful tool to investigate how future WAM seasons could vary in a changing&#xD;
climate. This provides relevant information to improve the understanding of the possible&#xD;
implications of such changes on economic activities such as agriculture, water resources,&#xD;
and other climate-related sectors, and to guide the design and implementation of climateresilient&#xD;
projects.
Description: A Thesis submitted to the West African Science Service Centre on Climate Change and Adapted Land Use and the Federal University of Technology, Akure, Nigeria, in partial fulfillment of the requirements for the degree of Doctor of Philosophy Degree in West African Climate Systems</summary>
    <dc:date>2019-09-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Simulating the Effects of Land Use Land Cover Change on Hydrometeorological Parameters over West Africa</title>
    <link rel="alternate" href="http://197.159.135.214/jspui/handle/123456789/1247" />
    <author>
      <name>Achugbu, Ifeanyi Chukwudi</name>
    </author>
    <id>http://197.159.135.214/jspui/handle/123456789/1247</id>
    <updated>2026-06-24T13:58:57Z</updated>
    <published>2020-02-01T00:00:00Z</published>
    <summary type="text">Title: Simulating the Effects of Land Use Land Cover Change on Hydrometeorological Parameters over West Africa
Authors: Achugbu, Ifeanyi Chukwudi
Abstract: Land Use Land Cover (LULC) in Sub-Sahara Africa has undergone rapid transformation&#xD;
in the last century. So comprehending the impact of land use land cover change and its&#xD;
interaction with the atmosphere by means of modeling, and its impact on some&#xD;
hydrometeorological variables is an interesting area both for present and future research.&#xD;
The land use land cover change (LULCC) over West Africa was analysed using the&#xD;
Moderate Resolution Imaging Spectroradiomater (MODIS) MCD12Q1 land use land&#xD;
cover data. The Weather Research and Forecasting (WRF) model was used to examine&#xD;
the effect of Land Surface Model (LSM) options of WRF model on temperature,&#xD;
precipitation and dew point temperature (DPT) in West Africa (WA). Eight simulations&#xD;
were performed using the Noah, Noah-multi-physics (Noah-MP), Community Land&#xD;
Model version 4 (CLM4) and Noah-MP LSM with a ground water option, all with same&#xD;
and other physics combinations. In order to assess the impacts of LULCC on some&#xD;
hydrometeorological parameters over WA, series of WRF simulations were carried out&#xD;
with 2001 and 2016 land use data, and 6 LULC scenarios which includes Built-up (Bu),&#xD;
Partial Deforest I (PDI), Partial Deforest II (PDII), Partial Afforest (PA), Total Afforest&#xD;
(TA) and Total Deforest (TD) were generated. The WRF-hydrological (WRF-Hydro)&#xD;
model was used to simulate the LULC change impact on streamflow over Sokoto Rima&#xD;
River Basin (SRRB) and 3 Forecast Points (FP) (Sokoto, Goronyo and Bakolori) were&#xD;
analysed. Analysis of the LULCC over West Africa (WA) between 2001 and 2016&#xD;
revealed that there was a general decrease in all forest parameters and a steady increase in&#xD;
built up lands over the period of study. Results show that the LSMs performed differently&#xD;
for different variables in different land-surface conditions. However, Noah-MP was the&#xD;
viii&#xD;
overall best performing LSM for all the variables in all season, while Noah performed&#xD;
least. The differences in the simulations could be attributed to the differences in&#xD;
vegetation representation, soil column depth, number of soil layers and other processes in&#xD;
the LSMs. Experiment with 2001 and 2016 land use data revealed that WRF model is&#xD;
sensitive to changes in the land cover parameters. The integration of updated MODIS&#xD;
land use data into WRF model showed improvement in its outputs. Result also shows that&#xD;
for the entire area (10W, 10E, 5N, 15N), Bu scenario decreased DPT, evapotranspiration&#xD;
(ET) and precipitation, but increased 2m temperatures (T2m) and Sensible heat (SH).&#xD;
PDII and PDI scenario increased DPT, T2m, and decreases SH, ET, and Pr, while PA&#xD;
scenario slightly increases DPT, ET, Pr, SH and caused a decrease in T2m. TA scenario&#xD;
increased DPT, ET, Pr, but decreased T2m, and SH while TD decreased DPT, ET, but&#xD;
increases T2m, SH, and Pr. For all the FPs in the SRRB, Bu scenario caused the highest&#xD;
increase in streamflow, while TA scenario shows the highest decrease. The deforestation&#xD;
scenario generally led to an increase in streamflow, while the afforestation scenario led to&#xD;
a decrease. Higher streamflow occurs as a result of increased agricultural lands and&#xD;
decreased forest areas within the basin. The study has shown that land cover has changed&#xD;
over the years, and that the adverse effects of LULCC to the extreme will be increased&#xD;
temperature and discomfort as well as flooding as streamflow increases. The combination&#xD;
of Remote Sensing, GIS, WRF and WRF-hydro model provides a useful technique in&#xD;
assessing the impact of LULC on catchment hydrology. This is essential in selecting and&#xD;
developing feasible catchment management options that will promote sustainable&#xD;
utilization of land and water resources.
Description: A Thesis submitted to the West African Science Service Centre on Climate Change and Adapted Land Use and the Federal University of Technology, Akure, Nigeria, in partial fulfillment of the requirements for the degree of Doctor of Philosophy Degree in West African Climate Systems</summary>
    <dc:date>2020-02-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Modelling Soil Greenhouse Gas Emissions from different Land Use types in a Semi-Deciduous Forest and its Environs in Ghana</title>
    <link rel="alternate" href="http://197.159.135.214/jspui/handle/123456789/1227" />
    <author>
      <name>Dembele, Famoussa</name>
    </author>
    <id>http://197.159.135.214/jspui/handle/123456789/1227</id>
    <updated>2026-06-16T13:46:06Z</updated>
    <published>2024-11-01T00:00:00Z</published>
    <summary type="text">Title: Modelling Soil Greenhouse Gas Emissions from different Land Use types in a Semi-Deciduous Forest and its Environs in Ghana
Authors: Dembele, Famoussa
Abstract: This study provides baseline data and analyses of the evolution of carbon dioxide emissions in the Agriculture, Forestry and Other Land Use (AFOLU) sector in Ghana, focusing on the Bobiri Forest Reserve and fringe areas. The first objective was to analyse land-use/land cover (LULC) changes from 1986 to 2022 in a semi-deciduous forest zone using intensity analysis. The results showed significant land transformations, with Croplands and mixed vegetation and non-vegetated having substantial gains, while closed forest areas decreased by over 36%. These changes were primarily driven by the increasing demand for food and population growth, highlighting the pressure on forested landscapes. The second objective assessed the impact of LULC changes and seasonal variability on soil respiration rate (SRR) across three dominant land categories; forest, fallow (open forest) and cropland (maize and rice). Seasonal variability significantly influenced SRR, with higher emissions observed during the wet season. Forests recorded the lowest SRR due to minimal disturbance and lower sunlight reaching the soil surface. In contrast, fallow and cropland areas showed higher emissions, driven by increased soil disturbance and organic matter decomposition. The model results indicated that SRR was strongly influenced by organic matter (OM), pH, soil moisture (SM) and silt content, as captured in the predictive equation: 𝑆𝑅=(3.77 𝑥10−4𝑒𝑥𝑝(0.0771𝑂𝑀))(55.94log(𝑝𝐻)−36.30)(6.36log(𝑆𝑖𝑙𝑡)+36.94)(3.23log(𝑆𝑀)+24.48) explaining up to 58% of the variability in SRR. The results highlight the role of land-use changes in altering soil carbon dynamics and SRR. The third objective projected the future evolution of soil CO2 emissions from 2022 to 2050 under a Business-as-Usual (BAU) scenario using DINAMICA EGO modelling software and a forest-based regression model in ArcGIS Pro. The projections indicated a significant increase in emissions from open forests (55 kg CO2 ha-1 d-1) compared to closed forests (50 kg CO2 ha-1 d-1) and cropland and mixed vegetation (52 kg CO2 ha-1 d-1), driven by continued deforestation and land-use conversion. The findings highlight the critical need for effective land management strategies to mitigate GHG emissions, conserve forest cover, and promote sustainable agricultural practices. Future studies should expand the scope to include methane (CH4) and nitrous oxide (N2O) emissions using advanced tools like gas chromatographs, to provide a more comprehensive assessment of emissions dynamics. Furthermore, integrating alternative land-use scenarios, alongside the BAU scenario, and comparing IPCC Tier 1 with Tier 2/3 emissions factors, will improve the accuracy of SRR projections and support more effective policy development.
Description: A Thesis submitted to the West African Science Service Centre on Climate Change and Adapted Land Use and the Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Climate Change and Land Use</summary>
    <dc:date>2024-11-01T00:00:00Z</dc:date>
  </entry>
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