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  • 30+ Downloads
    Updated 25 September 2022 | Dataset date: March 01, 2022-May 31, 2022
    This dataset updates: Every week
    Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 35+ year quasi-global rainfall data set. It is a gridded rainfall time series for trend analysis and seasonal drought monitoring, spans 50°S-50°N (and all longitudes) and ranges from 1981 to near-present. The anomaly refers to the difference between current rainfall and the average rainfall that occurred between 1981 and 2010 in millimeters. For more information visit the CHIRPS site. This dataset contains the latest available CHIRPS anomaly data. The full list of data available is available from USGS for Mar-May data and will soon be available for other time periods. Additionally, subnational statistics (mean, min, max) have been calculated for Ethiopia, Kenya, and Somalia and are available in the csv resource.
  • 1200+ Downloads
    Updated 13 October 2021 | Dataset date: June 30, 2020-June 30, 2020
    This dataset updates: As needed
    This dataset contains the data used by the Humanitarian Country Team in Somalia to monitor the evolution of the drought and flood situation in Somalia. The data covers the following topics: Internal displacement by cause (drought related, conflict/insecurity, other cause) River levels in the Shabelle and Juba rivers Water prices by Region Cumulative annual rainfall Disease burden (acute watery diarrhea (AWD)/cholera, bloody diarrhea and measles) Monthly response monitoring by region for the following indicators: CCCM: Number of people benefiting from site improvement projects EDUCATION: Number of children with access to safe drinking water FOOD SECURITY: Number of people reached through activities geared towards improving access to food and safety nets HEALTH: Number of medical consultations NUTRITION: Number of acute malnutrition admissions PROTECTION: Number of girls and boys, women and men participating in community-based psycho-social activities SHELTER: Number of people in need of emergency assistance receiving appropriate NFIs through in-kind distribution, vouchers or cash WASH: Number of people reached with access to sustainable safe water services The sources for the data are as follows: IDP data (PRMN/UNHCR); Rainfall and Rivers (SWALIM); Diseases (Health Cluster/WHO); Monthly Response (Humanitarian Clusters), Water Prices (FAO)
  • 700+ Downloads
    Updated 16 March 2020 | Dataset date: September 30, 2019-September 30, 2019
    This dataset updates: As needed
    Rainfall distribution in Sudan for a 2010-2019. The data-set was created using observed data from the Sudan Meteorological Authority. All measurements in millimeters.
  • 1300+ Downloads
    Updated 10 March 2020 | Dataset date: March 02, 2020-March 08, 2020
    This dataset updates: As needed
    The DTM Emergency Tracking activated on an ad hoc basis. Only Emergency situations which cause significant damage and require an immediate response or cause displacement taken into account.
  • 100+ Downloads
    Updated Live | Dataset date: April 12, 2019-April 12, 2019
    This dataset updates: Live
    Layer provides distribution of landslide hazard, describing by an index of very low to very high hazard. Data produced under the ADRF Sub Saharan Africa Risk Profiles project. The project provides also risk data produced, exposure and hazard data used in the analyses.
  • 300+ Downloads
    Updated 7 September 2018 | Dataset date: September 01, 2018-September 01, 2018
    This dataset updates: Never
    Bulletin sur la Production de Biomasse et l’Eau de Surface sur le Sahel, mi-saison d’hivernage 2018. Les données satellitaires utilisées pour cette étude sont issues des mesures provenant depuis 1998 de la série des satellites SPOT-VEGETATION 4 & 5, remplacés en 2014 par PROBA-V. Ces satellites appartiennent au programme de l’agence spatiale européenne ESA. Les données brutes sont traitées et distribuées par l’Institut Flamande pour la recherche Technologique VITO (Belgique) et ensuite analysées à l’aide des outils développés par ACF : BioGenerator et HydroGenerator. BioGenerator permet de quantifier les productions totales annuelles de biomasse végétale, exprimées en kg de matière sèche à l’hectare kg/ha, ainsi que l’anomalie de production en comparaison avec la moyenne calculée sur l’ensemble des années disponibles depuis 1998 sans discontinuité. HydroGenerator permet de suivre statistiquement la présence des points d’eau de surface, et de calculer l’indice d’accessibilité à l’eau de surface et son anomalie par comparaison à la moyenne calculée sur la période 1998 à 2018. Les prévisions des précipitations se base sur les données produites par le CPC (Climate Prediction Center) de la NOAA (National Oceanic and Atmospheric Administration), administration des Etats-Unis d’Amérique. Le CPC donne accessible publiquement au téléchargement une série de prévisions climatiques sur le globe. Les prévisions de précipitations utilisées sont issues d’une combinaison de plusieurs modèles climatiques. Ces prévisions de moyennes mensuelles des précipitations concernent une période de 4 mois suivant la période initiale, ici août 2018.
  • 1200+ Downloads
    Updated 16 May 2017 | Dataset date: May 16, 2017-May 16, 2017
    This dataset updates: Never
    This report considers present and recent past food security assessments for Afghanistan in the context of hydrology, climate change and conflict. Population comparisons by data source (UN OCHA, LandScan, WorldPop, and Gridded Population of the World) and rainfall anomalies from 2013-2016 accompany the report. The authors, Zainab al Badri, Atia Curtiss, and Zoe Garcia, completed their research in partial fulfillment of Public Health coursework in Medical Geography, for Spring 2017, at Drew University. Dr. Lisa Jordan edited the report and supplemented their work with additional spatial data.