Reduced space optimal interpolation of daily rain gauge precipitation in Switzerland

Distance in spatial interpolation of daily rain gauge data

Spatial interpolation of rain gauge data is important in forcing of hydrological simulations or evaluation of weather predictions, for example. This paper investigates the application of statistical distance, like one minus common variance of observation time series, between data sites instead of geographical distance in interpolation. Here, as a typical representative of interpolation methods ...

Space-time interpolation of daily air temperatures

We propose a model to describe the mean function as well as the spatio-temporal covariance structure of 15 years of both maximum and minimum daily temperature data from 190 stations throughout the region of Catalonia (Spain), with daily data covering the period 1994-2008. Our aim is threefold: (a) estimation of the long-term trend of maximum and minimum temperatures; (b) assessing the spatial a...

Rain Gauge Station Network Design for Hormozgan Province in Iran

A rain gauge network should serve general as well as specific purposes such as water supply, hydropowergeneration, flood forecasting, irrigation, and flood control. The level of accuracy a network can achieve depends onthe number and locations of gauges in the network. In this study, a rain gauge network was designed for Hormozganprovince in the south of Iran. Monthly rainfall totals from 124 r...

Reduced-order optimal interpolation for biomass assimilation

The analysis of the evolution of the chemical and biological characteristics of the Mediterranean marine ecosystem requires an integrated approach. Consistently, an ecosystem description, embedded in the MFSTEP one eighth degree threedimensional general circulation model, is tested and used following a twin experiment 5 approach. The ecosystem model is based on the NPZD trophic chain: inorganic...

Warm Rain Precipitation Processes