Circulation‐Conditioned Wintertime Temperature Bias in EURO‐CORDEX Regional Climate Models Over Central Europe

0492602 - ÚFA 2019 RIV US eng J - Článek v odborném periodiku
Lhotka, Ondřej - Kyselý, Jan
Circulation‐Conditioned Wintertime Temperature Bias in EURO‐CORDEX Regional Climate Models Over Central Europe.
Journal of Geophysical Research-Atmospheres. Roč. 123, č. 16 (2018), s. 8661-8673. ISSN 2169-897X. E-ISSN 2169-8996
Grant CEP: GA ČR(CZ) GA16-22000S
Institucionální podpora: RVO:68378289
Klíčová slova: heat waves * cold spells * simulations * ensemble * uncertainties * extremes * blocking * impact * states * scale
Obor OECD: Meteorology and atmospheric sciences
Impakt faktor: 3.633, rok: 2018
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2018JD028503

We analyze circulation‐conditioned wintertime temperature biases in regional climate models (RCMs) over Central Europe and link them to simulation of cold days. Daily minimum and maximum temperatures from the European Coordinated Regional Climate Downscaling Experiment RCMs are evaluated against reference data from the E‐OBS gridded data set. Flow direction is analyzed through u‐ and v‐wind components at the 850‐hPa pressure level taken from the ERA‐Interim reanalysis. Cloud cover and snow‐area fraction from the same reanalysis are used to associate the temperature biases with physical mechanisms. Distribution of flow directions during cold days is evaluated using efficiency coefficients, calculated as ratios of the relative abundance of flow directions during cold days and their wintertime climatology. RCMs driven by the reanalysis have both positive and negative minimum temperature biases, ranging from +0.7 to −2.7 °C. By contrast, all reanalysis‐driven RCMs have negative maximum temperature biases, especially during northerly and westerly advection, which is probably related to overestimated cloud cover. The too‐cold westerly and northerly flows are associated with an overestimated number of cold days and relatively high values of efficiency coefficients under these directions. Efficiency coefficients are simulated better under southeasterly advection, during which the temperature bias tends to be the lowest. The results suggest that simulated cold events should be analyzed and interpreted with caution, since they may develop also under zonal flow in some models, which contradicts observations.
Trvalý link: http://hdl.handle.net/11104/0286064