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Published online by Cambridge University Press: 15 December 2009
The data products and models referred to in the book are available as described below. Additional workshop material, including lecture/tutorial presentations, are available from the G-WADI web-site www.g-wadi.org.
DATA PRODUCTS
The satellite-based precipitation measurement algorithm, PERSIANN (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks), continuously provides near global rainfall estimates at hourly 0.25°×0.25° scale from geostationary satellite longwave infrared imagery. An adaptive training feature enables model parameters to be constantly adjusted whenever independent sources of precipitation observations from low-orbital satellite sensors are available. The current PERSIANN algorithm has been used to generate multiple years of research quality precipitation data. PERSIANN data is available through HyDIS (Hydrologic and Data Information System: http://hydis8.eng.uci.edu/persiann/) at CHRS (Center for Hydrometeorology and Remote Sensing), University of California at Irvine. See Chapter 2 for further details.
MODELLING TOOLS
The Institute for Water Research, Rhodes University, South Africa, has developed the SPATSIM (Spatial and Time Series Information Modelling) system for Windows. This package makes use of an ESRI Map Objects spatial front end, linked to a database table structure, for data storage and access and includes relatively seamless links to a range of hydrological and water-resource estimation models. It also includes a wide range of data preparation and analysis facilities typically required in hydrological modelling studies. The SPATSIM approach has been adopted as the core modelling environment to be used for the update of the South African water-resource information system.
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