Number 9 in the Environment and Natural Resources Service (SDRN) Working Papers series
LocClim was developed to provide an estimate of climatic conditions at locations for which no observations are available. To achieve this, the programme uses the 28800 stations of FAOCLIM 2.0, the global agroclimatic database maintained by the Agrometeorology Group of FAO.
Next to a "no questions asked" automatic mode, the "benchmark" mode gives the user full control over the interpolation procedure (Inverse Distance Weighting). Inputs can be taken from the keyboard (location specified either by co-ordinates or by a click on a map) or from user-provided ASCII files. Output can be in the form of ASCII files or user-defined georeferenced grids in WinDisp format (www.fao.org/ES/giews/english/windisp/windisp.htm).
The programme also provides estimates of growing season characteristics based on a comparison of rainfall and potential evapotranspiration (Franquin's method).
Estimates of monthly, 10-daily and daily values of common climate variables are given together with error estimates, using a number of options to correct for regional variability, altitude dependency and horizontal gradients of the variables. For any given location LocClim searches for the nearest stations that fulfil given criteria (absolute number, maximum distance, altitude constraints). If desired LocClim fits a linear altitude function through the observations to reduce all of them to the elevation of the desired location. This minimises the systematic error resulting from the different elevations of the neighbouring stations. The altitude of the desired location can either be given by the user or taken from a built-in digital elevation model (DEM) with a spatial resolution of 10 km and an altitudinal resolution of 20 m (DEM downgraded from the NOAA/NCDC Global Land One-kilometre Base Elevation). LocClim can perform climate gradient correction by fitting a plane surface to the observations over the latitude-longitude plane. Thus the smooth geographical climate variation is taken into consideration. If desired a shadowing routine can be applied that gives neighbours hidden by closer neighbours a low weight.
For a free copy of LocClim, kindly send a request to firstname.lastname@example.org, providing your full mailing address.