Performance Evaluation of Satellite-Based Rainfall Products over Nigeria

Ogbu, K. N.; Hounguè, Nina Rholan; Gbode, Imoleayo E.; Tischbein, Bernhard

doi:10.3390/cli8100103

Cited by 19 publications

(23 citation statements)

References 35 publications

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“…For instance, in the Central African region (Figure 2a), there is a fairly good agreement in the observed mean daily precipitation from CPC (3.87), CHIRPS (4.21) and TAMSAT (4.38). Even though these values are close, the differences in the products have been observed in other studies (Dinku et al, 2018; Ogbu et al, 2020). There is also a possibility for pronounced variation at the local scale (Fekete et al, 2004).…”

Section: Resultssupporting

confidence: 72%

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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Section: Resultssupporting

confidence: 72%

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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“…The CHIRPS dataset was acquired through the website (http://chg.geog.ucsb.edu/data/chirps/, accessed, February 15, 2021) for the years 1981-2017. The CHIRPS precipitation data was applied in our analysis given that it has been shown to perform better than other satellite products over Africa [43,44] and to be less affected by variation in elevation [45,46].…”

Section: Rainfall Estimatesmentioning

confidence: 99%

A Google Earth-GIS based approach to examine the potential of the current rainwater harvesting practices to meet water demands in Mityana district, Uganda

et al. 2022

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Rainwater harvesting (RWH) has become an integral part of global efforts to improve water access. Despite the increasing adoption of RWH in Uganda, there remains a significant knowledge gap in the assessment of RWH systems to meet water demands. In this study, a simplified methodology to estimate rainwater harvesting potential (RWHP) as a function of mean seasonal rainfall and rooftop area, generated using Google Earth and GIS tools is applied. Desired tank storage (DTS) capacities based on user population, demand and dry period lengths, were compared with RWHP to assess whether rooftop areas and tank storage can sustainably supply water for use during the March—May (MAM) and September-November (SON) 90-day dry periods, for three demand levels (i.e. for drinking and cooking (15 litres per capita per day (l/c/d)); for drinking, cooking and hand washing (20 l/c/d); and for drinking, cooking, hand washing, bathing and laundry (50 l/c/d)). Our findings document minimum catchment areas of 60m2 to have rainwater harvesting potential that can sustain households for 90-day dry periods for all three demand levels. However, considering their storage capacities, 25%, 48% and 97% of the existing RWHTs (with storage capacities below 8,000, 10,000 and 20,000 litres respectively) are unable to meet the demand of 15 l/c/d, 20 l/c/d and 50 l/c/d respectively for a 90-day dry period. The results document that the existing storage systems are under-sized for estimated water use under 50 l/c/d demand scenarios. Costs of between 2,000,000–4,500,000 Ugandan shillings (~ 600–1, 250 USD) would be needed to increase existing tank capacities to meet the 50 l/c/d demands for a 90-day dry period. These findings document onerous financial costs to achieve rainwater harvesting potential, meaning that households in Mityana district may have to resort to other sources of water during times of shortage.

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“…We obtained daily precipitation rasters for Africa 42 from the Climate Hazards Infrared Precipitation with Stations (CHIRPS) project; this dataset is based on combining sparse weather station data with satellite observations and interpolation techniques, and is designed to support hydrologic forecasts in areas with poor weather station coverage (such as tropical West Africa) 42 . A recent study ground-truthing against weather station data showed that CHIRPS provides greater overall accuracy than other gridded precipitation products in Nigeria 43 . Air temperature daily minimum and maximum rasters were obtained from NOAA and were also averaged to calculate daily mean temperature.…”

Section: Methodsmentioning

confidence: 99%

Geographical drivers and climate-linked dynamics of Lassa fever in Nigeria

et al. 2021

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Lassa fever is a longstanding public health concern in West Africa. Recent molecular studies have confirmed the fundamental role of the rodent host (Mastomys natalensis) in driving human infections, but control and prevention efforts remain hampered by a limited baseline understanding of the disease’s true incidence, geographical distribution and underlying drivers. Here, we show that Lassa fever occurrence and incidence is influenced by climate, poverty, agriculture and urbanisation factors. However, heterogeneous reporting processes and diagnostic laboratory access also appear to be important drivers of the patchy distribution of observed disease incidence. Using spatiotemporal predictive models we show that including climatic variability added retrospective predictive value over a baseline model (11% decrease in out-of-sample predictive error). However, predictions for 2020 show that a climate-driven model performs similarly overall to the baseline model. Overall, with ongoing improvements in surveillance there may be potential for forecasting Lassa fever incidence to inform health planning.

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Performance Evaluation of Satellite-Based Rainfall Products over Nigeria

Cited by 19 publications

References 35 publications

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

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

A Google Earth-GIS based approach to examine the potential of the current rainwater harvesting practices to meet water demands in Mityana district, Uganda

Geographical drivers and climate-linked dynamics of Lassa fever in Nigeria

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