Its form with respect to a central point \(p\) is: Thornton, Running, and White ( 1997) suggested interpolating meteorological data using a truncated Gaussian filter. The estimation of potential and actual solar radiation is explained in the next chapter. In the following sections we detail the general algorithm used to obtain interpolation weights and the interpolation procedure for temperature, precipitation, relative humidity and wind. Finally, the wind vector (wind direction and wind speed) is interpolated by using weather station records and static wind fields. Potential solar radiation is then corrected to account for atmosphere transmittance using the predictions of temperature range, relative humidity and precipitation ( P. Potential (i.e. top-of-atmosphere) solar radiation is estimated taking into account latitude, seasonality, aspect and slope, following Garnier and Ohmura ( 1968). Relative humidity can be either interpolated (in fact, dew-point temperature is the variable being interpolated) or predicted from temperature estimates, depending on whether it has been measured in weather stations or not. For any target point, minimum temperature, maximum temperature and precipitation are interpolated from weather records using truncated Gaussian filters, while accounting for the relationship between these variables and elevation ( Peter E. The general procedure for interpolation is very similar to the one that underpins the U.S.
8.2 Reshaping data obtained from other packagesĮcological research studies conducted for historical periods can be perfomed using meteorological records obtained from surface weather stations of the area under study.8.1 Downloading data from weather station networks.7.1 Unconditional weather generation algorithm.6 Estimation of potential evapo-transpiration.5 Statistical correction of weather data.4.6 Diurnal trends in diffuse and direct radiation.4.5 Outgoing longwave radiation and net radiation.4.1 Solar declination and solar constant.3.6.3 Interpolation of wind vectors using wind fields.3 Spatial interpolation of weather records.2.5.2 Subsetting and reshaping meteorology data.2.5.1 Subsetting and reshaping topography data.2.5 Subsetting, merging and reshaping data.
2.3.1 Point meteorology (ascii/rds files).2.3 Reading and writing meteorological data.
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