Interpolation with MISH-the climatological database of the Danube region-

Within the framework of the Danube-ADAPT Enhancing Climate Data Cooperation for Evidence-based Adaptation Policy Making in the Danube Region project, 8 countries and 16 partners are jointly preparing a climatological database for the Danube region.

For meteorological and climatic studies, it is not only necessary that the quality of the data series is uniform and good over time, but also that we are able to derive reliable data for those places where meteorological observations have not been made. During interpolation, we naturally strive to ensure that the result is as close as possible to real state. At HungaroMet, a mathematical-statistical interpolation system called MISH was developed specifically for the interpolation of meteorological variables.

Within the framework of the Danube-ADAPT project, we are preparing a homogenized, grid-based climatological database covering nine meteorological elements for the entire Danube river basin.  The database is generated applying uniform methods across the entire area, while homogenization is carried out using the MASH software, and interpolation is performed using the MISH software. The selected meteorological elements are the daily average temperature (1970-2024), minimum temperature (1970-2024), maximum temperature (1970-2024), precipitation sum (1970-2024), mean windspeed (2000-2024), wind maximum (2000-2024), air pressure (1970-2024), relative humidity (1970-2024) and global radiation (2000-2024). The MISH software consists of two main parts: modeling and interpolation. We use the data sets homogenized with MASH software to model the climate statistical parameters. The model results are used for interpolation.

The steps and results of the production of the final grid point database are presented in our presentation.

This paper was supported as part of Danube-ADAPT project, an Interreg Danube Region Programme project co-funded by the European Union.