2017
DOI: 10.1088/1748-9326/aa7521
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Early warnings of hazardous thunderstorms over Lake Victoria

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Cited by 46 publications
(36 citation statements)
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“…To reduce the number of casualties from weather related events, the Lake Victoria Intense storm Early Warning System (VIEWS) has been developed to forecast hazardous thunderstorms over the lake at night (Thiery et al 2017). For the information emerging from these systems to be successfully used at community level, it is critical to ensure that they meet the needs of the users.…”
Section: Disaster Managementmentioning
confidence: 99%
“…To reduce the number of casualties from weather related events, the Lake Victoria Intense storm Early Warning System (VIEWS) has been developed to forecast hazardous thunderstorms over the lake at night (Thiery et al 2017). For the information emerging from these systems to be successfully used at community level, it is critical to ensure that they meet the needs of the users.…”
Section: Disaster Managementmentioning
confidence: 99%
“…Global evaporation observation datasets like LandFlux-EVAL and the Global Land Evaporation Amsterdam Model (GLEAM) do not resolve evaporation above large water surfaces like Lake Victoria (Mueller et al, 2013;Martens et al, 2017). Therefore, evaporation is assessed by using the latent heat flux (LHF) output of the regional climate model COSMO-CLM 2 (Davin and Seneviratne, 2012), of which the highresolution downscaling (∼ 7 km) with the ERA-Interim reanalysis provides an adequate representation of the climate over and around the African Great Lakes (Thiery et al, 2015(Thiery et al, , 2016(Thiery et al, , 2017Docquier et al, 2016;Jacobs et al, 2016Jacobs et al, , 2017Jacobs et al, , 2018Delandmeter et al, 2018). Here, the annual evaporation climatology is estimated from daily LHF of the COSMO-CLM 2 model output for 1996-2008 and applied to each year of the observational WB analysis period.…”
Section: Evaporation Datamentioning
confidence: 99%
“…Over the whole CORDEX-Africa domain, all RCMs capture the main elements of the seasonal mean precipitation distribution and its cycle, but also significant biases are present in individual models depending on season and region (Nikulin et al, 2012;Kim et al, 2014). Here, a specific region is investigated wherein lakes act as main driving features of the regional climate (Thiery et al, 2015(Thiery et al, , 2016(Thiery et al, , 2017Docquier et al, 2016). Therefore, model performance is primarily determined by how lakes are resolved in the models.…”
Section: Model Quality and Projected Changesmentioning
confidence: 99%