Useful global databases for Hydrology and Water Resources Research

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

hydrologic and water resources modelling wide

world-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

 http://www.sage.wisc.edu/riverdata/

•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

-climate change grids.

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-sites/EOS-Botswana-Kalahari-site.html

: Tower in Bostwana

 http://www.itc.nl/Pub/WRS/WRS-Earth-observation-sites/China-Tibetan-plateau-site.html

: Tower in China

 http://www.itc.nl/Pub/WRS/WRS-Earth-observation-sites/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

ONLY for AFRICA

 http://trmm.gsfc.nasa.gov/

 Check out: Real-time 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

 ASTER – land surface fluxes, Digital Elevation Model

 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…

products

 http://www.africover.org/ : Important related

products produced 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

monitoring of soil moisture – data available now in experimental mode

 http://data.worldbank.org/

 http://www.fao.org/corp/statistics/en/

Thank you!