CLIMAIBIMETCNR/niger_climate_vulnerability

Public data & code repository of "Recent changes of floods and related impacts in Niger based on the ANADIA Niger Flood Database." # Recent changes of floods and related impacts in Niger based on the ANADIA Niger Flood Database. Edoardo Fiorillo [1] Alfonso Crisci [1] Hassimou Issa [2] Giampiero Maracchi [1] Marco Morabito [1] and Vieri Tarchiani [1] Institute of Biometeorology – National Research Council (IBIMET-CNR), Via G. Caproni 8, 50145 Florence, Italy 2 Niger Early Warning System Agency, Niamey, Niger, Tel.:+227 20 72 32 75 * Correspondence: e.fiorillo@ibimet.cnr.it; Tel.: +39-055-303-3711 * # Abstract: During the last two decades, the sub-Saharan region has experienced unusual floods that diversely impacted the region. No official and precise data regarding flood damage and impacts on the population are available and the magnitude of events are not easily evaluated. Most previous studies investigated this new threat using data derived from local media sources or world disaster databases. The aim of this study was to provide the scientific community and policy makers with an updated and reliable referenced data source concerning floods in Niger between 1998 and 2015, at national, regional and sub-regional scale. Reliable information regarding floods was derived from the national official flood damage database (ANADIA DB) showing their impact on the country. During the investigated period, considerable numbers were found (about 4000 settlements and 1.7 million people affected by floods). The analysis also indicates a sudden increase of flood impacts since 2010. Regions in the south-west (Tillabery, Dosso and CU Niamey) are the most affected, however this kind of risk involves the whole country and some particularly vulnerable areas have been identified. A data modeling comprehensive framework based on remotely sensed rainfall (CHIRPS) and vegetation index (MODIS NDVI) datasets data along with census data were used to investigate which variables are mostly able to explain the recent and sudden Niger flood vulnerability detected at departmental scale. Only a few statistically signifi …