My goal is to understand more present and future climate by using observations and dynamical climate models.
Downscaling in general is a technique to take information known at large scales to finer scales. The two main approaches are used in downscaling climate information: dynamical and statistical. Dynamical downscaling requires running high-resolution climate model on a sub-domain, using observational data/lower-resolution climate model output as a boundary condition.
My principal field of interest is Europe with some outlook to other regions such as: Australia, South America and Sout-East Asia.
We acknowledge the support provided for this work by the National Research, Development and Innovation Office – NKFIH, (OTKA FK-142349).
I created a bias-corrected dataset covering the period of 1976-2099, consisting 7 regional climate model daily outputs for the following variables under the RCP8.5 scenario: pr, tas, tasmin, tasmax.
The reference dataset is CARPATCLIM (Szalai et al., 2013) which covers the the Carpathian Region for the period 1961-2010.
Freely available: 10.5281/zenodo.21166882.