Met data
Meteorological data and forecasting resources on the internet, v3
This helpful list has been assembled by Paul Wagstaff of Self Help Africa
Forecasting
Africa Drought and Flood Monitor:
http://stream.princeton.edu/AWCM/WEBPAGE/interface.php?locale=en
EU COPERNICUS EMERGENCY MANAGEMENT SERVICE, Global Flood Awareness System
http://globalfloods.jrc.ec.europa.eu/user-information/forecast-viewer-info/
Rainwatch
http://cimms.ou.edu/index.php/research/rainwatch/
Norway
www.yr.no/place/Ireland/Leinster/Greystones/
IGAD
NOAA
NOAA/ National Weather Service, NOAA Centre for Weather and Climate Prediction, Climate Prediction Centre.
http://www.cpc.ncep.noaa.gov/
http://www.cpc.ncep.noaa.gov/products/NMME/
www.cpc.ncep.noaa.gov/products/international/africa/africa.shtml
IFRC
The IFRC Seasonal Forecast Email Notification
http://iridl.ldeo.columbia.edu/maproom/IFRC/FIC/
https://ifrc-notify.iri.columbia.edu/
UC Santa Barbara Climate Hazards Group
http://chg.geog.ucsb.edu/forecasts/
World Meteorological Organization (WMO) Global Producing Centres for Long-Range Forecasts
http://www.wmo.int/pages/prog/wcp/wcasp/gpc/gpc.php
El Niño / ENSO
World Meteorological Organisation https://public.wmo.int/en/our-mandate/climate/el-ni%C3%B1ola-ni%C3%B1a-update
Columbia University’s International Research Institute for Climate and Society https://iri.columbia.edu/our-expertise/climate/forecasts/enso/current/?enso_tab=enso-cpc_update
https://reliefweb.int/report/world/el-nino-outlook-september-2018
http://www.cpc.ncep.noaa.gov/products/precip/CWlink/MJO/enso.shtml
https://www.sadc.int/themes/meteorology-climate/
Historical Meteorological Data
Meteorological stations
FAO: New_LocClim estimator download: http://www.fao.org/nr/climpag/pub/en3_051002_en.asp
Web version: http://www.fao.org/nr/climpag/locclim/locclim_en.asp
Remote sensing
TAMSAT: https://www.tamsat.org.uk/
TRMM: http://trmm.gsfc.nasa.gov/data_dir/data.html
GPM: http://www.nasa.gov/mission_pages/GPM/main/index.html
For the Sahel TRMM has the most accurate data as compared to rainfall gauges, unfortunately the TRMM officially came to an end in April this year (the satellite fell). A new and even better satellite (Global Precipitation Measurement: http://www.nasa.gov/mission_pages/GPM/main/index.html) has gone up in its place (run by NASA and JAXA).
CHIRPS: http://chg.geog.ucsb.edu/data/chirps/
Climate Hazards Group (UC Santa Barbara) InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall dataset. Spanning 50°S-50°N (and all longitudes), starting in 1981 to near-present, CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. As of February 12th, 2015, version 2.0 of CHIRPS is complete and available to the public.
GIEWS Earth Observation
http://www.fao.org/giews/earthobservation/country/index.jsp?lang=en&code=MWI#
The country level maps and graphs depict the latest 36-month period of the seasonal, vegetation and precipitation indicators. The data is presented by dekad and month. All three vegetation indicators are based on 10-day (dekadal) vegetation data from the METOP-AVHRR sensor at 1 km resolution (2007 and after). Data at 1 km resolution for the period 1984-2006 was derived from the NOAA-AVHRR dataset at 16 km resolution. Precipitation estimates for all African countries (except Cabo Verde and Mauritius) are taken from NOAA/FEWSNet, while for the remaining countries data is obtained from ECMWF.
CRU TS3.21: Climatic Research Unit (CRU) Time-Series (TS) Version 3.21 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2012)
http://catalogue.ceda.ac.uk/uuid/ac4ecbd554d0dd52a9b575d9666dc42d
Climate diaries
http://www.conservation.org/global/ci_south_africa/skeppies/Pages/climate-diaries.aspx
Crop Production, Irrigation and Food security
http://ssa.foodsecurityportal.org/regional-sub-portal/sub-saharan-africa
FEWsNet
Crops
http://www.fao.org/agriculture/seed/cropcalendar/welcome.do
http://cropmonitor.org/pages/currentreport.php
Crop monitoring
http://cropmonitor.org/pages/currentreport.php
Harvest Choice Mappr
Showcases over 300 layers of spatially-explicit, agricultural-related data for sub-Saharan Africa. Includes rainfall and temperature data as well as AEZs, Farming Systems, areas under cultivation.
http://apps.harvestchoice.org/mappr/
https://harvestchoice.org/products/data
Crop suitability
http://gaez.fao.org/Main.html#
Irrigation
FAO Cropwat: http://www.fao.org/nr/water/infores_databases_cropwat.html
Groundwater Atlas for Africa
British Geological Survey. Contains links to met data.
http://www.bgs.ac.uk/africagroundwateratlas/
Climate Change predictions
http://sdwebx.worldbank.org/climateportal/index.cfm?page=country_historical_climate&ThisRegion=Africa&ThisCCode=LBR
Conservation International Resilience Atlas
Integrates 60 of the best available datasets related to resilience into custom maps. Includes layers for climate trends and predictions.
https://www.resilienceatlas.org/
https://www.resilienceatlas.org/map?layers=%5B%5D
UK Met Office
http://www.metoffice.gov.uk/climate-guide
FEWsNet
https://www.fews.net/archive?f[0]=field_report_type%3A249
UNDP Climate Change Country Profiles
http://www.geog.ox.ac.uk/research/climate/projects/undp-cp/
Climate Analogues
http://www.ccafs-analogues.org/tool/
KITE Resources
www.york.ac.uk/environment/research/kite/resources/#tab-5
AfriClim: https://www.york.ac.uk/environment/research/kite/resources/
AFRICLIM provides high-resolution ensemble climate projections for Africa. The spatial database includes monthly grids of temperature and rainfall, and derived bioclimatic summary variables such as moisture indices and dry season length.
Version 3.0 of the database spans ten general circulation models (GCMs), downscaled using five regional climate models (RCMs) and four contemporary baselines, under two representative concentration pathways of the IPCC-AR5 (RCP4.5 and RCP8.5).
MIT
http://globalchange.mit.edu/, http://globalchange.mit.edu/research/IGSM
GIS resources
WorldClim is a set of global climate layers (climate grids) with a spatial resolution of about 1 square kilometer. The data can be used for mapping and spatial modeling in a GIS or with other computer programs.