Journalartikel
Autorenliste: Ban, Nikolina; Caillaud, Cecile; Coppola, Erika; Pichelli, Emanuela; Sobolowski, Stefan; Adinolfi, Marianna; Ahrens, Bodo; Alias, Antoinette; Anders, Ivonne; Bastin, Sophie; Belusic, Danijel; Berthou, Segolene; Brisson, Erwan; Cardoso, Rita M.; Chan, Steven C.; Christensen, Ole Bossing; Fernandez, Jesus; Fita, Lluis; Frisius, Thomas; Gasparac, Goran; Giorgi, Filippo; Goergen, Klaus; Haugen, Jan Erik; Hodnebrog, Oivind; Kartsios, Stergios; Katragkou, Eleni; Kendon, Elizabeth J.; Keuler, Klaus; Lavin-Gullon, Alvaro; Lenderink, Geert; Leutwyler, David; Lorenz, Torge; Maraun, Douglas; Mercogliano, Paola; Milovac, Josipa; Panitz, Hans-Juergen; Raffa, Mario; Remedio, Armelle Reca; Schar, Christoph; Soares, Pedro M. M.; Srnec, Lidija; Steensen, Birthe Marie; Stocchi, Paolo; Toelle, Merja H.; Truhetz, Heimo; Vergara-Temprado, Jesus; de Vries, Hylke; Warrach-Sagi, Kirsten; Wulfmeyer, Volker; Zander, Mar Janne
Jahr der Veröffentlichung: 2021
Seiten: 275-302
Zeitschrift: Climate Dynamics
Bandnummer: 57
Heftnummer: 1-2
ISSN: 0930-7575
eISSN: 1432-0894
DOI Link: https://doi.org/10.1007/s00382-021-05708-w
Verlag: Springer
Abstract:
Here we present the first multi-model ensemble of regional climate simulations at kilometer-scale horizontal grid spacing over a decade long period. A total of 23 simulations run with a horizontal grid spacing of similar to 3 km, driven by ERA-Interim reanalysis, and performed by 22 European research groups are analysed. Six different regional climate models ( RCMs) are represented in the ensemble. The simulations are compared against available high-resolution precipitation observations and coarse resolution (similar to 12 km) RCMs with parameterized convection. The model simulations and observations are compared with respect to mean precipitation, precipitation intensity and frequency, and heavy precipitation on daily and hourly timescales in different seasons. The results show that kilometer-scale models produce a more realistic representation of precipitation than the coarse resolution RCMs. The most significant improvements are found for heavy precipitation and precipitation frequency on both daily and hourly time scales in the summer season. In general, kilometer-scale models tend to produce more intense precipitation and reduced wet-hour frequency compared to coarse resolution models. On average, the multi-model mean shows a reduction of bias from similar to -40% at 12 km to similar to -3% at 3 km for heavy hourly precipitation in summer. Furthermore, the uncertainty ranges i.e. the variability between the models for wet hour frequency is reduced by half with the use of kilometer-scale models. Although differences between the model simulations at the kilometer-scale and observations still exist, it is evident that these simulations are superior to the coarse-resolution RCM simulations in the representing precipitation in the present-day climate, and thus offer a promising way forward for investigations of climate and climate change at local to regional scales.
Zitierstile
Harvard-Zitierstil: Ban, N., Caillaud, C., Coppola, E., Pichelli, E., Sobolowski, S., Adinolfi, M., et al. (2021) The first multi-model ensemble of regional climate simulations at kilometer-scale resolution, part I: evaluation of precipitation, Climate Dynamics, 57(1-2), pp. 275-302. https://doi.org/10.1007/s00382-021-05708-w
APA-Zitierstil: Ban, N., Caillaud, C., Coppola, E., Pichelli, E., Sobolowski, S., Adinolfi, M., Ahrens, B., Alias, A., Anders, I., Bastin, S., Belusic, D., Berthou, S., Brisson, E., Cardoso, R., Chan, S., Christensen, O., Fernandez, J., Fita, L., Frisius, T., ...Zander, M. (2021). The first multi-model ensemble of regional climate simulations at kilometer-scale resolution, part I: evaluation of precipitation. Climate Dynamics. 57(1-2), 275-302. https://doi.org/10.1007/s00382-021-05708-w
Schlagwörter
CLOUD MICROPHYSICS SCHEME; CONVECTION; CORDEX; DRY; Kilometer-scale resolution; Multi-model ensemble simulations; NUMERICAL WEATHER PREDICTION; OFFICE UNIFIED MODEL; PARAMETERIZATION; Regional climate models
