There is growing free datasets prepared for hydrologic and water resources modelling worldwide. Already prepared datasets that can be easily imported into our MODELS Datasets can reduce the time spend – SEARCHING, FRUSTRATION of getting the right data the psychological pressure on NOT meeting research deadlines because of lack of “required data”. Processing time spend maybe reduced with global datasets. Increases our chances of obtaining independent datasets for validation our models
Presented By: A. T. Kabo-bah E: kabo-bah@greenwaterhut.org April 30, 2012 Hohai Research Forum, China 1. There is growing free datasets prepared for hydrologic and water resources modelling world- wide 2. Already prepared datasets that can be easily imported into our MODELS 3. Datasets can reduce the time spend – SEARCHING, FRUSTRATION of getting the right data & the psychological pressure on NOT meeting research deadlines because of lack of “required data” 4. Processing time spend maybe reduced with global datasets 5. Increases our chances of obtaining independent datasets for validation our models 1. Field measurements 2. Spatial measurements – using satellite datasets (L1, L2, L3, L4) 3. Advanced Processed Datasets – combined data 4. Other datasets – socio-economic data, climate change scenarios Stream Flow Rainfall, Snow Humidity Temperature Soil moisture Eddy covariance – Towers (Evapotranspiration, soil moisture, groundwater) Etc. http://www.sage.wisc.edu/ri verdata/ http://www.tutiempo.net/en/Climate/africa.htm • Annual average temperature (°C) • Annual average maximum temperature (°C) • Annual average minimum temperature (°C) • Total annual precipitation of rain and / or snow (mm) • Annual average wind speed (Km/h) • Total days with rain during the year • Total days with snow during the year • Total days with thunderstorm during the year • Total days with fog during the year • Total days with tornado or funnel cloud during the year • Total days with hail during the year Global data - 1970 – date, vary for different countries http://www.climatedata.eu/ - average annual climate characteristics of meteo stations http://www.worldclim.org/ -climate change grids. Eddy covariance is a key atmospheric measurement technique to measure and calculate vertical turbulent fluxes within atmospheric boundary layers Evapotranspiration studies, transpiration, groundwater studies http://www.itc.nl/Pub/WRS/WRS-Earth-observation-s ites/EOS-Botswana-Kalahari-site.html : Tower in Bostwana http://www.itc.nl/Pub/WRS/WRS-Earth-observation-si tes/China-Tibetan-plateau-site.html : Tower in China http://www.itc.nl/Pub/WRS/WRS-Earth-observation-si tes/Netherlands-Lattrop-site.html : Tower in the Netherlands Typical measurements: radiation and microclimatic conditions, sap flow at various species, unsaturated zone moisture and matric potential and water table fluctuation. http://www.met.reading.ac.uk/~tamsat/data/ : ONLY for AFRICA [...]... Google Earth Global Precipitation Mapper L1 data – typically raw data - usually not usable by the general public Needs professional skill and software to understand data L2, L3 data – processed data and converted into usable public formats LANDSAT – land surface fluxes e.g NDVI, NDWI etc ASTER – land surface fluxes, Digital Elevation Model GRACE – Water Storage, Gravity variation, Water ... includes land surface fluxes and canopy-atmospheric boundary layer indicators http://diva-gis.org/ Administrative boundaries Rivers, Roads, Railways Land cover Emissitivity Albedo Land surface temperature DEM Etc https://lpdaac.usgs.gov/ http://www.glcn.org/index_en.jsp : Derive land products http://www.africover.org/ : Important related products produced by FAO for Africa... GRACE – Water Storage, Gravity variation, Water balance studies MODIS – land surface fluxes, derived land surface fluxes (emissivity, albedo, surface temperature etc) SPOT /QUICKBIRD– High resolution land surface mapping, urban planning, 2.5-10M DEM NOAA/AVHRR – Land surface fluxes MERIS – high spectral resolution – water quality assessment Many others… http://daac.ornl.gov/ List of types... by FAO for Africa http://glcf.umiacs.umd.edu/ : Important resource http://glovis.usgs.gov/ : search engine for free satellite data http://srtm.csi.cgiar.org/ : Global 90m DEM http://www.csr.utexas.edu/grace/ : Gravity Recovery and Climate Experiment http://www.esa.int/esaLP/LPsmos.html : Global monitoring of soil moisture – data available now in experimental mode http://data.worldbank.org/ . By: A. T. Kabo-bah E: kabo-bah@greenwaterhut.org April 30, 2012 Hohai Research Forum, China 1. There is growing free datasets prepared for hydrologic and water resources modelling world- wide 2 and water table fluctuation. http://www.met.reading.ac.uk/~tamsat/data/ : ONLY for AFRICA http://trmm.gsfc.nasa.gov/ http://chrs.web.uci.edu/ Check out: Real-time Google Earth Global. NDVI, NDWI etc. ASTER – land surface fluxes, Digital Elevation Model GRACE – Water Storage, Gravity variation, Water balance studies MODIS – land surface fluxes, derived land surface fluxes