Variable resolution modeling of near future mean temperature changes in the dry sub-humid region of Ghana

Bessah, Enoch; Raji, A. O.; Taiwo, Olalekan John; Agodzo, Sampson K.; Ololade, Olusola O.

doi:10.1007/s40808-018-0479-0

Cited by 21 publications

(13 citation statements)

References 46 publications

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“…Hence, model outputs from CCCma-CanESM2 and GFDL-ESM2M were more reliable. The excellent performance of these two RCMs confirms similar reports by Bessah et al (2020) and Bessah et al (2018). Sekyi-Annan et al (2018) reported EF and d in the range of 0.65-0.83 and 0.87-0.96, respectively, and NRMSE between 17.7 and 42%, indicating good performance of an agro-hydrological model (i.e., AquaCrop) for simulating dry aboveground biomass of tomato in the Guinea-sudano-savanna agroecological zone of Ghana.…”

Section: Performance Evaluation Of Climate Models Appliedsupporting

confidence: 83%

“…The RCMs applied include the second-generation Canadian Earth System Model (CCCma-CanESM2) from the Canadian Center for Climate Modeling and Analysis, the General Fluid Dynamics Laboratory Earth System Model (GFDL-ESM2M), and the Hadley Global Environment Model (HadGEM2-ES). CCCma-CanESM2 and GFDL-ESM2M have been found to be good models for projecting temperature and rainfall over the Pra River Basin where the current study is located (Bessah et al, 2018(Bessah et al, , 2020. HadGEM2-ES has been used by several studies over Ghana (Okafor et al, 2019).…”

Section: Climate Change Impact Assessmentmentioning

confidence: 89%

“…According to Benavidez et al (2018), USLE and related models including the Revised Universal Soil Loss Equation (RUSLE), the Revised Universal Soil Loss Equation version 2 (RUSLE2), and the Modified Universal Soil Loss Equation (MUSLE) have been applied globally to improve the estimation of soil loss. Furthermore, regional climate models (RCMs) from the Rossby Center Regional Atmospheric model (RCA4) and the Coordinated Regional Climate Downscaling Experiment (CORDEX) project at 44 km spatial resolution have been used in projecting climate change impact in many part of Africa (Vanvyve et al, 2008;Giorgi et al, 2009;Hewitson et al, 2012;Laprise et al, 2013;Dosio and Panitz, 2016;Nikiema et al, 2016;Sylla et al, 2016;Kisembe et al, 2018) and in Ghana (Owusu and Kluste, 2013;Bessah et al, 2018Bessah et al, , 2020Okafor et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Estimating Soil Loss for Sustainable Crop Production in the Semi-deciduous Forest Zone of Ghana

Sekyi-Annan

Gaisie

Issaka

et al. 2021

Front. Sustain. Food Syst.

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Quantitative information on soil loss is relevant for devising soil conservation and crop management strategies to ensure sustainable fertility management and crop production. Estimations from runoff/erosion plots are expensive and laborious and thus requiring the exploration of other less expensive but reliable methods such as modeling. This study aimed to estimate current and future rates of soil loss for conservation planning toward sustainable crop production in the semi-deciduous forest zone of Ghana. The Universal Soil Loss Equation (USLE), which took into consideration the rainfall characteristics of the study area, inherent soil physicochemical and hydraulic properties, variations in slopes and terrain differences, land cover types, and soil management practices, was employed to estimate the magnitude and rate of soil loss in the study area. Output from three regional climate models (RCMs) from Coordinated Regional Climate Downscaling Experiment including CCCma-CanESM2, GFDL-ESM2M, and HadGEM2-ES were used to estimate the impact of climate change on soil erosion in the study area. The results showed that soil loss estimated for bare soils was high ranging from 12.7 to 163.8 t ha−1 year−1 largely due to variation in slopes coupled with soil physicochemical and hydraulic properties. The simulated annual soil losses under various land cover options showed variable degrees of soil loss for maize cultivation under conventional tillage (8.2–106.5 t ha−1 year−1), soya bean monocropping (4.4–57.3 t ha−1 year−1), and low soil loss for oil palm plantation with grass or leguminous cover (2.5–32.8 t ha−1 year−1). Evaluation of the RCMs showed excellent performance for CCCma-CanESM2 and GFDL-ESM2M. Predictions of climate change impact using outputs from CCCma-CanESM2 and GFDL-ESM2M indicated that 9–39% increase in soil loss is expected by 2070, and it will be more severe (16–42%) by 2100. The model predictions indicate that the adoption of site-specific land cover management strategies such as tree–cover crop intercropping and reduced tillage has a huge potential to reduce soil loss and sustain soil fertility. The model can be used as an advisory tool for mapping areas for appropriate cropping systems for a particular site.

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Section: Performance Evaluation Of Climate Models Appliedsupporting

confidence: 83%

Section: Climate Change Impact Assessmentmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimating Soil Loss for Sustainable Crop Production in the Semi-deciduous Forest Zone of Ghana

Sekyi-Annan

Gaisie

Issaka

et al. 2021

Front. Sustain. Food Syst.

Self Cite

View full text Add to dashboard Cite

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“…The CORDEX-Africa RCMs (REMO2009 and KNMI-RACMO22T) and the WRF models were selected due to its remarkable skills in reproducing the climatology of the Vea catchment for the period 1981-2005 (Larbi et al 2020). The WRF models skills have also demonstrated to do well in terms of rainfall distribution in a study conducted within West Africa by Bessah et al (2018). Details on the RCMs evaluation and bias-correction can be found in Larbi et al (2020).…”

Section: Observation and Climate Change Scenario Datasetsmentioning

confidence: 93%

Climate Change Impact on Climate Extremes and Adaptation Strategies in the Vea Catchment, Ghana

Larbi

Nyamekye

Hountondji

et al. 2021

African Handbook of Climate Change Adaptation

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Climate change impact on rainfall and temperature extreme indices in the Vea catchment was analyzed using observation and an ensemble mean of bias-corrected regional climate models datasets for Representative Concentration Pathway (RCP 4.5) scenario. Rainfall extreme indices such as annual total wet-day precipitation (PRCPTOT), extremely wet days (R99P), consecutive wet days (CWD), consecutive dry days (CDD), and temperature indices such as warmest day (TXx) and warmest night (TNx) from the Expert Team on Climate Change Detection Monitoring Indices (ETCCDMI) were computed for both the historical (1986–2016) and future (2020–2049) period using the RClimdex. The parametric ordinary least square (OLS) regression approach was used to detect trends in the time series of climate change and extreme indices. The results show an increase in mean annual temperature at the rate of 0.02 °C/year and a variability in rainfall at the catchment, under RCP 4.5 scenario. The warmest day and warmest night were projected to increase by 0.8 °C and 0.3 °C, respectively, in the future relative to the historical period. The intensity (e.g., R99p) and frequency (e.g., CDD) of extreme rainfall indices were projected to increase by 29 mm and 26 days, respectively, in the future. This is an indication of the vulnerability of the catchment to the risk of climate disasters (e.g., floods and drought). Adaptation strategies such as early warning systems, availability of climate information, and flood control measures are recommended to reduce the vulnerability of the people to the risk of the projected impact of climate extreme in the future.

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“…Daily rainfall, maximum and minimum temperature data were acquired from the Ghana Meteorological Agency (GMet) for the period 1991-2014 from seven functional climate stations (Kumasi, Akim Oda, Twifo Praso, Konongo, Dunkwa, Kibi and Atieku) within the Pra River Basin. Details of the climate stations are presented in previous studies by Bessah et al (2018Bessah et al ( , 2020a.…”

Section: Climate Data Sourcesmentioning

confidence: 99%

Gender-based variations in the perception of climate change impact, vulnerability and adaptation strategies in the Pra River Basin of Ghana

Bessah

Raji

Taiwo

et al. 2021

IJCCSM

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Purpose This study aims to assess gender-based differences on farmers’ perception of impacts and vulnerability to climate change and the implementation of adaptation strategies in the Pra River Basin of Ghana, while also providing lessons for other Sub-Saharan nations and regions with similar conditions. Design/methodology/approach The study used semi-structured interviews and questionnaires to collect data from 344 farmers, 64 participants in focus group discussions and 6 agriculture extension officers (key informants) from 10 districts in the Pra River Basin of Ghana. Findings Results showed several differences in how climate change is perceived and tackled by male and female genders. In the perception of male farmers, for example, they were found to be more vulnerable to increased temperature, and changes in rainfall and growing season, whereas female farmers on average were considered to be less resilient to floods and droughts for different reasons. Moreover, floods posed higher risks to farming than other climate change impacts. Gender roles had a significant correlation with the type of adaptation strategies practised. Men adopted agrochemicals more often than women, as an adaptation strategy. Research limitations/implications Gender-differentiated interventions should be incorporated in the national climate change action plan for sustainable development in a rain-fed agricultural economy such as Ghana. The study recommends several actions to promote gender equity in the assessed region. Originality/value This research assessed the gender differentials in climate trends, impact, vulnerability and adaptation based on primary data collected between April and May 2019 and compared the results with climate data in the basin for the period 1991–2014. It is an empirical study focused on primary data analysis obtained in loco by authors, involving approximately 400 participants.

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Variable resolution modeling of near future mean temperature changes in the dry sub-humid region of Ghana

Cited by 21 publications

References 46 publications

Estimating Soil Loss for Sustainable Crop Production in the Semi-deciduous Forest Zone of Ghana

Estimating Soil Loss for Sustainable Crop Production in the Semi-deciduous Forest Zone of Ghana

Climate Change Impact on Climate Extremes and Adaptation Strategies in the Vea Catchment, Ghana

Gender-based variations in the perception of climate change impact, vulnerability and adaptation strategies in the Pra River Basin of Ghana

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