Evaluation of the performance of remotely sensed rainfall datasets for flood simulation in the transboundary Mono River catchment, Togo and Benin

Hounguè, Nina Rholan; Ogbu, K. N.; Almoradie, Adrian; Evers, Mariele

doi:10.1016/j.ejrh.2021.100875

Cited by 9 publications

(8 citation statements)

References 30 publications

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“…The lower part of the basin is prone to recurrent flood events which trigger economic losses and deaths in both countries [15]. An average of 1000 mm precipitation per year is recorded in the south and 1200 mm in the northern part [30,31].…”

Section: Study Areamentioning

confidence: 99%

“…where hits is the number of rainfall events that are effectively predicted by the RCM, misses is the the number of observed rainfall events that were not predicted by the RCM, and false alarms is the events predicted by RCMs but did not actually occur. More details on these metrics are provided by [30,38]. All four criteria were weighted equally with weight 0.25 for rainfall, whereas NSE and R 2 were weighted each 0.5 for temperature.…”

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A Multi Criteria Decision Analysis Approach for Regional Climate Model Selection and Future Climate Assessment in the Mono River Basin, Benin and Togo

2022

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Regional climate models (RCMs) are key in the current context of global warming, and they are increasingly used to support decision-making and to identify adaptation measures in response to climate change. However, considering the wide range of available RCMs, it is important to identify the most suitable ones prior to climate impact studies, especially at small scales like catchments. In this study, a multicriteria decision analysis approach, namely the technique for order preferences by similarity to an ideal solution (TOPSIS) was applied to select the best performing RCMs in the Mono River Basin of Benin and Togo (West Africa). The TOPSIS method was used to systematically rank 15 RCMs accessed from the coordinated regional downscaling experiment (CORDEX) database. Six RCMs were finally selected and averaged into an ensemble to assess the future climate in the Mono River Basin until 2070 compared to the period 1966–2015. Two climate change scenarios, RCP 4.5 and RCP 8.5, were considered. The results show that under both climate change scenarios, the annual temperature has an increasing trend during the period 1966–2070, whereas annual rainfall for the next 50 years presents high variability and no statistically significant trend. Furthermore, seasonal cycles of rainfall are expected to change in the different parts of the catchment with delayed onset of rainfall, longer dry seasons, and rainfall intensification. In response to the projected changes, impact studies and risk assessments need to be carried out to evaluate potential implications for human security in the Mono River Basin and to provide adequate adaptation measures.

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confidence: 99%

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confidence: 99%

A Multi Criteria Decision Analysis Approach for Regional Climate Model Selection and Future Climate Assessment in the Mono River Basin, Benin and Togo

2022

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“…In the same line with that, the study conducted by [62] on the hydrometeorological analysis of floods in the Mono watershed in West Africa with a conceptual rainfall-runoff model shows that the discharge at the entrance as well as at the exit of the dam has a seasonal regime between the months of June and October. Similarly, the rainfall-runoff model, HBVlight (Hydrologiska Byråns Vat-tenbalansavdelning) was used in the study conducted by [63] whereby the satellite rainfall data were used to assess the utility of the satellite data in runoff modelling, flood forecasting and climate change impact assessment. This study reveals that there is concordance between the discharge simulated (except of the Climate Hazards Group…”

Section: Discussionmentioning

confidence: 99%

Comparing households’ perception of flood hazard with historical climate and hydrological data in the Lower Mono River catchment (West Africa), Benin and Togo

et al. 2023

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The comparison of local perception of flood hazards, with hydrological and climate parameters, can give more insight and understanding on the causes of flood, its impacts and the strategies to effectively address the problem. This study examines whether households’ perception of rainfall and flood occurrence are consistent with observed variation in climate parameter (rainfall) and hydrological (discharge) data in the Lower Mono River catchment (Togo-Benin, West Africa). Perceptions of the 744 households from the catchment were collected and compared to historical climatic and hydrological data using correlation analysis. The Standardized Precipitation Index was utilized to identify the extreme years in terms of precipitation. Chi-test and binary regression analyses were performed to identify the most affected communes within the catchment, and the factors that influence household perceptions on rainfall change, respectively. Findings reveal that 85% of the respondents perceived an excess in rainfall during the last 20 years and identify two particular years as the most affected by flood, which correspond to the climate data analysis. Households’ perceptions on flooded months are correlated with the monthly precipitation and discharge at the upper part of the catchment while the ones at down part are not correlated. Furthermore, the chi-test analysis shows that in the perception of households, the communes at the down part are more affected by flood than those at the upper part of the catchment. It is then important for decision maker to consider local communities’ perception for having insight regarding climate parameters, the causes of flood and in the decision making for implementing measures to cope with this phenomenon.

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“…Potential evapotranspiration was computed with the Hargreaves method using daily temperature data obtained from the ERA5 product. These climatic products were selected based on their performances in previous studies (Poméon et al, 2017;Dembélé et al, 2020;Ogbu et al, 2020Ogbu et al, , 2022Hounguè et al, 2021) within the West African region. Soil attributes for six different soil layers were extracted from the Harmonized World Soil Database, version 1.2 while Land use and cover information were obtained from Globecover product.…”

Section: Datamentioning

confidence: 99%

Evaluating the skill of the mesoscale Hydrologic Model (mHM) for discharge simulation in sparsely-gauged basins in Nigeria

Ogbu,

Rakovec,

Samaniego

et al. 2024

Proc. IAHS

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Abstract. Predictive hydrologic modelling to understand and support agricultural water resources management and food security policies in Nigeria is a demanding task due to the paucity of hydro-meteorological measurements. This study assessed the skill of using different remotely sensed rainfall products in a multi-calibration framework for evaluating the performance of the mesoscale hydrologic Model (mHM) across four different data-scarce basins in Nigeria. Grid-based rainfall estimates obtained from several sources were used to drive the mHM in different basins in Nigeria. Model calibration was first performed using only discharge records, and also by using a combination of discharge and actual evapotranspiration, forced with different rainfall products. The mHM forced with CHIRPS produced reasonable Kling-Gupta efficiency KGE) results (0.5> KGE <0.85) under both calibration frameworks. However, constraining model parameters under a multi-calibration arrangement showed no significant discharge simulation improvement in this study. Results show the utility of the mHM for discharge simulation in data-sparse basins in Nigeria.

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Evaluation of the performance of remotely sensed rainfall datasets for flood simulation in the transboundary Mono River catchment, Togo and Benin

Cited by 9 publications

References 30 publications

A Multi Criteria Decision Analysis Approach for Regional Climate Model Selection and Future Climate Assessment in the Mono River Basin, Benin and Togo

A Multi Criteria Decision Analysis Approach for Regional Climate Model Selection and Future Climate Assessment in the Mono River Basin, Benin and Togo

Comparing households’ perception of flood hazard with historical climate and hydrological data in the Lower Mono River catchment (West Africa), Benin and Togo

Evaluating the skill of the mesoscale Hydrologic Model (mHM) for discharge simulation in sparsely-gauged basins in Nigeria

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