Regional Climate Models Validation for Agroclimatology in Romania
| Autor: | Christian Săcărea, Vlad Stoian, Blanka Bartok, Adrian-Sorin Telcian, Adina-Eliza Croitoru, Csaba Horvath |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Mean squared error 0208 environmental biotechnology 02 engineering and technology Environmental Science (miscellaneous) maize 01 natural sciences Meteorology. Climatology Precipitation Selection (genetic algorithm) Reliability (statistics) 0105 earth and related environmental sciences Romania regional climate models Vegetation spatial model validation 020801 environmental engineering winter wheat agroclimatology Climatology Environmental science Climate model EURO-CORDEX Arable land QC851-999 Downscaling |
| Zdroj: | Atmosphere, Vol 12, Iss 978, p 978 (2021) Atmosphere Volume 12 Issue 8 |
| ISSN: | 2073-4433 |
| Popis: | Regional climate projections are widely used in impact studies such as adaptations in agronomy. The big challenge of the climate modeling community is to serve valuable instructions regarding the reliability of these simulations to encourage agronomists to use this kind of information properly. The study validates 15 high-resolution ensembles from the Coordinated Regional Climate Downscaling Experiment-European Domain (EURO-CORDEX) for maximum temperature, minimum temperature, and precipitation to fulfill this task. Three evaluation metrics are calculated (mean absolute error, root mean square error, and correlation) for the means and the 5th and 95th percentiles. The analyses are elaborated for annual and monthly means and the vegetation periods of maize and winter wheat. Only arable lands are considered to exclude the effects of the topography. Furthermore, an ensemble selection is applied based on the evaluation metrics to reduce the data use. The five models with the best performance in the case of winter wheat are CNRM-CM5-CLMcom-CCLM4-8-17_v1, MOHC-HadGEM2-ES-IPSL-WRF381P_v1, MOHC-HadGEM2-ES-KNMI-RACMO22E_v2, MOHC-HadGEM2-ES-CLMcom-CCLM4-8-17_v1, and MPI-M-MPI-ESM-LR-KNMI-RACMO22E_v1. In the case of the vegetation period of maize, the models with the best skills are MPI-M-MPI-ESM-LR-KNMI-RACMO22E_v1, CNRM-CM5-IPSL-WRF381P_v2, MPI-M-MPI-ESM-LR-SMHI-RCA4_v1a, MOHC-HadGEM2-ES-IPSL-WRF381P_v1, and MOHC-HadGEM2-ES-KNMI-RACMO22E_v2. Quantifying the errors in climate simulations against observations and elaborating a selection procedure, we developed a consistent ensemble of high time and space resolution climate projections for agricultural use in Romania. |
| Databáze: | OpenAIRE |
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