Variability and Trends of Actual Evapotranspiration over West Africa: The Role of Environmental Drivers.

Adeyeri, Oluwafemi E.; Ishola, Kazeem A.

doi:10.1016/j.agrformet.2021.108574

Cited by 22 publications

(14 citation statements)

References 69 publications

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“…Although all the products were able to capture the temporal dynamics of ET across all the basins, there were substantial discrepancies in the magnitude of monthly ET from each model. This finding is consistent with results from other studies showing strong differences in ET estimates produced by different models (Weerasinghe et al, 2020;Adeyeri and Ishola, 2021). The discrepancies in monthly ET estimates from the models may be attributed to differences in model structure, parameters, and uncertainties in the input data used in driving the models.…”

Section: Evapotranspiration Productssupporting

confidence: 91%

“…Conversely, WaterGap, SSEBop, and MOD16A2 performed poorly and may not be suitable for water security assessment in the region. Our results are generally consistent with those from other studies indicating that GLEAM and MODIS16A2 underestimate evapotranspiration, while SSEBop overestimates this variable in most parts of Africa (Weerasinghe et al, 2020;Adeyeri and Ishola, 2021;McNamara et al, 2021). Given that ET estimates from FLDAS-Noah are produced together with other water balance components (runoff, soil moisture, and baseflow), outputs from this model may be recommended for water security assessment in the region because of water balance closure.…”

Section: Evapotranspiration Productssupporting

confidence: 90%

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Evaluating the accuracy of gridded water resources reanalysis and evapotranspiration products for assessing water security in poorly gauged basins

Nkiaka

Bryant

Ntajal

et al. 2022

Hydrol. Earth Syst. Sci.

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Abstract. Achieving water security in poorly gauged basins is critically hindered by a lack of in situ river discharge data to assess past, current, and future evolution of water resources. To overcome this challenge, there has been a shift toward the use of freely available satellite and reanalysis data products. However, due to inherent bias and uncertainty, these secondary sources require careful evaluation to ascertain their performance before being applied in poorly gauged basins. The objectives of this study were to evaluate river discharge and evapotranspiration estimates from eight gridded water resources reanalysis (WRR), six satellite-based evapotranspiration (ET) products, and ET estimates derived from complimentary relationship (CR–ET) across eight river basins located in Central–West Africa. Results highlight strengths and weaknesses of the different WRR in simulating discharge dynamics and ET across the basins. Likewise, satellite-based products also show some strength and weaknesses in simulating monthly ET. Our results further revealed that the performance of the different models in simulating river discharge and evapotranspiration is strongly influenced by model structure, input data, and spatial resolution. Considering all hydrological model evaluation criteria, FLDAS-Noah, Lisflood, AWRAL, and Terra were among the best performing WRR products while for ET estimates, FLDAS-Noah, Terra, GLEAM3.5a and 3.5b, and PMLV2 outperformed the rest of the products. Given the plethora of WRR and ET products available, it is imperative to evaluate their performance in representative gauged basins to identify products that can be applied in each region. However, the choice of a particular product will depend on the application and user requirements. Taking this together, results from this study suggest that gridded WRR and ET products are a useful source of data for assessing water security in poorly gauged basins.

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Section: Evapotranspiration Productssupporting

confidence: 91%

Section: Evapotranspiration Productssupporting

confidence: 90%

Evaluating the accuracy of gridded water resources reanalysis and evapotranspiration products for assessing water security in poorly gauged basins

Nkiaka

Bryant

Ntajal

et al. 2022

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…Although all the products were able to capture the temporal ET cycle in the basins, there were substantial differences in the magnitude of monthly ET from each model. This finding is consistent with results from other studies showing strong differences in ET estimates produced by different models over Africa (Weerasinghe et al, 2020;Adeyeri and Ishola, 2021). The discrepancies in monthly ET estimates from the models may be attributed to differences in the equations underpinning each ET model, model parameters, and uncertainties in the input data used in driving the models.…”

Section: Evapotranspiration Productssupporting

confidence: 90%

“…Conversely, SSEBop and MOD16A2 produced poor did not perform well in all the basins and may not be suitable for water security assessments in the region. Our results are generally consistent with those from other studies indicating that GLEAM and MODIS16A2 underestimate evapotranspiration, while SSEBop overestimates this variable in most parts of Africa (Weerasinghe et al, 2020;Adeyeri and Ishola, 2021;Mcnamara et al, 2021). Given that FLDAS ET estimate is derived from a LSM (NOAH) with other water balance components (runoff, soil moisture and baseflow), it may be more preferable for assessing water security in ungagued basins because of water balance closure.…”

Section: Evapotranspiration Productssupporting

confidence: 90%

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Nkiaka

2022

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“…The consequences of drought on water demand and supply by natural systems and people, on the other hand, will be amplified as the climate warms 63 , 64 . Furthermore, rising temperatures worsen heavy precipitation by increasing atmospheric moisture, promoting the precipitation event through moisture convergence at low altitudes 65 , 66 and increasing evapotranspiration rates arid areas 46 . This will lead to more intense hydrometeorological situations, such as floods and droughts 5 and significantly impact the amount and quality of available water as well as river discharge timing and amplitude 67 .…”

Section: Discussionmentioning

confidence: 99%

The trend and spatial spread of multisectoral climate extremes in CMIP6 models

Adeyeri

Zhou

Wang

et al. 2022

Sci Rep

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Climate change could exacerbate extreme climate events. This study investigated the global and continental representations of fourteen multisectoral climate indices during the historical (1979–2014), near future (2025–2060) and far future (2065–2100) periods under two emission scenarios, in eleven Coupled Model Intercomparison Project (CMIP) General Circulation Models (GCM). We ranked the GCMs based on five metrics centred on their temporal and spatial performances. Most models followed the reference pattern during the historical period. MPI-ESM ranked best in replicating the daily precipitation intensity (DPI) in Africa, while CANESM5 GCM ranked first in heatwave index (HI), maximum consecutive dry days (MCCD). Across the different continents, MPI-LR GCM performed best in replicating the DPI, except in Africa. The model ranks could provide valuable information when selecting appropriate GCM ensembles when focusing on climate extremes. A global evaluation of the multi-index causal effects for the various indices shows that the dry spell total length (DSTL) was the most crucial index modulating the MCCD for all continents. Also, most indices exhibited a positive climate change signal from the historical to the future. Therefore, it is crucial to design appropriate strategies to strengthen resilience to extreme climatic events while mitigating greenhouse gas emissions.

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Variability and Trends of Actual Evapotranspiration over West Africa: The Role of Environmental Drivers.

Cited by 22 publications

References 69 publications

Evaluating the accuracy of gridded water resources reanalysis and evapotranspiration products for assessing water security in poorly gauged basins

Evaluating the accuracy of gridded water resources reanalysis and evapotranspiration products for assessing water security in poorly gauged basins

Reply on RC1

The trend and spatial spread of multisectoral climate extremes in CMIP6 models

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