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Flood forecasts, avalanche warnings, agricultural planning and many more sectors rely, nowadays, on models that estimate effects of weather and climate numerically. Such models need accurate meteorological input at a spatial resolution much finer than what direct measurements at weather stations can provide. This challenge is particularly pronounced for rain and snowfall because of the fine-scale nature of these weather elements. This project aims at generating area-covering precipitation analyses at high temporal and spatial resolution, suitable for use in application models and for warnings.
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Methods
The idea behind CombiPrecip is to combine information from the two classical rainfall measurement devices, namely radar and weather-station measurements. The combination shall be accomplished by advanced statistical methods, which can take advantage of the relative merits of each of the devices. That is, fine resolution of radar and high accuracy of station measurements. The method shall be applicable for deriving precipitation fields in near real time and continuously for recent years. A particular challenge of the project is the Alpine topography with its complex precipitation processes and with its difficulties for precipitation measurement.
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