Applicability of CHIRPS-based satellite rainfall estimates for South Africa

Plessis, J A du; Kibii, J.K.

doi:10.17159/2309-8775/2021/v63n3a4

Cited by 16 publications

(8 citation statements)

References 24 publications

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“…This means that, CHIRPS data, aggregated to any spatial scale between 10 × 10 km and 25 × 25 km, can fairly represent the local rainfall conditions in ORTDM. This finding is supported by Duplessis and Kibii [69], who found that monthly CHIRPS data estimated rainfall very well in 46 locations across South Africa, with an average R 2 of 0.60. In the Eastern Cape, Mhalalela et al [70] also found significant correlations ranging between 0.61 and 0.90 between CHIRPS and WS data.…”

Section: Satellite Data For Ibci Designsupporting

confidence: 61%

A Proposed Satellite-Based Crop Insurance System for Smallholder Maize Farming

et al. 2022

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Crop farming in Sub-Saharan Africa is constantly confronted by extreme weather events. Researchers have been striving to develop different tools that can be used to reduce the impacts of adverse weather on agriculture. Index-based crop insurance (IBCI) has emerged to be one of the tools that could potentially hedge farmers against weather-related risks. However, IBCI is still constrained by poor product design and basis risk. This study complements the efforts to improve IBCI design by evaluating the performances of the Tropical Applications of Meteorology using SATellite data and ground-based observations (TAMSAT) and Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) in estimating rainfall at different spatial scales over the maize-growing season in a smallholder farming area in South Africa. Results show that CHIRPS outperforms TAMSAT and produces better results at 20-day and monthly time steps. The study then uses CHIRPS and a crop water requirements (CWR) model to derive IBCI thresholds and an IBCI payout model. Results of CWR modeling show that this proposed IBCI system can cover the development, mid-season, and late-season stages of maize growth in the study area. The study then uses this information to calculate the weight, trigger, exit, and tick for each of these growth stages. Although this approach is premised on the prevailing conditions in the study area, it can be applied in other areas with different growing conditions to improve IBCI design.

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Section: Satellite Data For Ibci Designsupporting

confidence: 61%

A Proposed Satellite-Based Crop Insurance System for Smallholder Maize Farming

et al. 2022

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“…During summer, the highest temperature is about 30℃, while winter recorded the lowest temperature of 3℃ at night as reported in Chabalala et al [21]. In comparison to South Africa's average annual rainfall of 450 mm [22], this study area receives an average of 700 mm per year. The study area receives high average monthly rainfall during the summer months (December to February), and low average monthly rainfall during the winter months (June to August).…”

Section: Study Areasupporting

confidence: 49%

Analysis of Rainfall, Wind Speed and Streamflow Trends and Their Relationships in the Klip River Catchment, Alfred Duma Municipality, South Africa

Chabalala¹,

Ndambuki²,

Rwanga³

2023

IJDNE

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Ladysmith, a town in South Africa's KwaZulu-Natal province, has experienced flooding almost every year since 1884, resulting in temporary water shortages as well as the loss of lives, properties, and businesses. Ladysmith is a major economic, financial, and administrative hub for both the Alfred Duma municipality and the uThukela District Municipality. This study aimed to study the relationships between rainfall, wind speed, and streamflow trends in the Klip River catchment. The monthly, seasonal and annual trends were studied using the Mann-Kendall test. The study's findings revealed both decreasing and increasing trends in all streamflow, wind speed and rainfall. Streamflow and wind speed increased in most months, while rainfall had an equal combination of both increasing and decreasing trends throughout the year. The average annual streamflow decreased at a rate of -1.39 m 3 /s, rainfall at -3.05 mm, whereas wind speed increased by 3.68 m/s. On a seasonal scale, streamflow showed a decrease in spring and summer, whereas rainfall increased in the same seasons. In contrast, wind speed showed an increasing trend in all seasons. These results could be helpful in the planning and development of sustainable flood mitigation strategies.

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“…For instance, Bichet and Diedhiou (2018a, 2018b) in their study on precipitation extremes found a good performance of CHIRPS datasets in the representation of mean precipitation, intensity of precipitation, number of wet days and average length of dry spell when compared with 18 daily rainfall observing stations across the the Sahel and Guinea coast of West Africa. Also, the performance of CHIRPS over Africa (Maidment et al, 2015), and in particular the subregions of focus (i.e., Eastern Africa (Dinku et al, 2018), Western Africa (Sacré Regis et al, 2020), Southern Africa (du Plessis & Kibii, 2021) and Central Africa (Camberlin et al, 2019)) shows a good agreement with other sources of observational data as well as gauge measurement. It is, therefore, suitable for drought monitoring and analysis.…”

Section: Methodsmentioning

confidence: 69%

Evolution and copula modelling of drought duration and severity over Africa using CORDEX‐CORE regional climate models

Olusegun

Ogunjo

Olusola

2023

Intl Journal of Climatology

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This study assessed the dependence of drought severity and duration across four subregions (Southern, Western, Eastern and Central) in Africa using copula modelling. The analysis was carried out for the reference period 1991–2020 and the future period 2071–2099. Simulated daily precipitation at a horizontal resolution of 0.22° were obtained from three regional climate models (RCMs) participating in the Coordinated Output for Regional Evaluations within the Coordinated Regional Downscaling Experiment (CORDEX‐CORE). The RCMs were downscaled by three global climate models and validated using three high‐resolution gridded daily precipitation products obtained from The Climate Hazards Group InfraRed Precipitation with Stations data (CHIRPS), Climate Prediction Center Africa Rainfall Climatology Version 2.0 (CPC‐ARC2) and Tropical Applications of Meteorology using SATellite data and ground‐based observations (TAMSAT). Comparison of precipitation from the RCMs with the three gridded reference observations shows relatively good performance across the different regions with median value within the range of 3–5 mm·day−1 in Central Africa, 1.5–4.5 mm·day−1 in Western Africa, 1.8–2.8 mm·day−1 in Eastern Africa and 0.5–2.2 mm·day−1 in Southern Africa. On the other hand, the correlation values of drought duration–severity from CORDEX‐CORE models in the different regions of Africa exhibit predominantly strong values greater than 0.8 for both historical and projected climate. The analysis also considered two families of copulas: Archimedean (Frank, Clayton, Gumbel) and Elliptical (Gaussian, Student's t). The performance of the copula functions were estimated using the Akaike information criteria (AIC). Generally, there is a good agreement in the distribution of observed precipitation among the three observational data products across the subregion of Africa, with slight differences attributed to the different processing algorithms of the products. Across West Africa, mean precipitation values from CPC, CHIRPS and TAMSAT was 2.86, 3.16 and 3.07 mm·day−1, respectively. The CCLM‐NCC underestimated the mean values of precipitation reported in the observation data, while CCLM‐MPI and CCLM‐HAD overestimated the mean values of precipitation in the West Africa region.

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Applicability of CHIRPS-based satellite rainfall estimates for South Africa

Cited by 16 publications

References 24 publications

A Proposed Satellite-Based Crop Insurance System for Smallholder Maize Farming

A Proposed Satellite-Based Crop Insurance System for Smallholder Maize Farming

Analysis of Rainfall, Wind Speed and Streamflow Trends and Their Relationships in the Klip River Catchment, Alfred Duma Municipality, South Africa

Evolution and copula modelling of drought duration and severity over Africa using CORDEX‐CORE regional climate models

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