Assimilation of satellite data and in-situ data for the improvement of global radiation maps in the Netherlands

J. van Tiggelen, Ministry of Infrastructure and the Environment, Royal Netherlands Meteorological Institute (KNMI)
De Bilt : KNMI
2014


For this research, two satellite products were used to see if it was possible to improve the resolution and quality of the global radiation interpolation in the Netherlands. The rst data source was from the Climate Monitoring Satellite Application Facility (CM-SAF). The second data source was the Surface Insolation under Clear and Cloudy Skies (SICCS) from the KNMI. Both products were available for the period of January 2006 to December 2011 and came in the form of images with monthly and daily averages. To combine the satellite images with the input provided by the KNMI's 32 measurement stations, these interpolation/merging methods were used:


1. Thin Plate Splines (TPS)


2. Mean Bias interpolation (MB)


3. Interpolated Bias interpolation (IB)


4. Kriging with External Drift, Exponential model (KED-EXP)


5. Kriging with External Drift, Spherical model (KED-SPH)


All these methods made use of the in-situ measurements as main input for the interpolation and all methods except TPS used the satellite products as auxiliary data.

338 p.
Fig., tab..
(Intern rapport ; IR 2014-06)
With a bibligr.
KNMIAUT2014
Also published as thesis from the Lund University