Institution/Author: JONES, P.G.; THORNTON, P.K.; DIAZ, W.; WILKENS, P.W.
Price Colombia (in pesos): $100000
Scientific Contact: GIS Communications
Distribution Contact: Liliana Rojas
One of the most important considerations in dry land agriculture is risk. Is the rain going to arrive, and how much, and when? Process modeling is one of the best tools for evaluating this risk; but in order to do this, process modelers need accurate daily weather data. For the tropics, these hardly exist; if they do, they are very difficult to collect and the stations that collect them are very sparse. MarkSim fills in this gap by using a third-order Markov model that runs off interpolated climate surfaces. MarkSim users are crop modelers and agronomists evaluating the potential risks of crops and cropping sequences. They go to MarkSim where, onscreen, they can point at the map or enter coordinates for anywhere in the world and get simulated weather data (rainfall, maximum and minimum temperature, and solar radiation), all in the form ready to run a crop simulation model. They can simulate as many years of data as they like, run their models or the water balance, or use the data however they like to evaluate the risk of growing a rainfed crop.
MarkSim is the result of 25 years of research in CIAT. The climate surfaces use data from over 20,000 climate stations; the MarkSim model is calibrated with daily weather data from 11,000 weather stations. Manual, 87 p. 16 x 22.5 cm + CD-ROM.
Keywords: Weather; Simulation models; Databases; Meteorological elements; Climate; Risk