Pulse Brain · Growing Health Evidence Index
Peer-reviewed

The first multi-model ensemble of regional climate simulations at kilometer-scale resolution, part I: evaluation of precipitation

Nikolina Ban, Cécile Caillaud, Erika Coppola, Emanuela Pichelli, Stefan Sobolowski, Marianna Adinolfi, Bodo Ahrens, Antoinette Alias, Ivonne Anders, Sophie Bastin, Danijel Belušić, Ségolène Berthou, Erwan Brisson, Rita M. Cardoso, Steven Chan, Ole B. Christensen, Jesús Fernández, Lluís Fita, Thomas Frisius, Goran Gašparac, Filippo Giorgi, Klaus Goergen, Jan Erik Haugen, Øivind Hodnebrog, Στέργιος Κάρτσιος, Eleni Katragkou, Elizabeth Kendon, Klaus Keuler, Alvaro Lavín-Gullón, Geert Lenderink, David Leutwyler, Torge Lorenz, Douglas Maraun, Paola Mercogliano, Josipa Milovac, Hans-Juergen Panitz, Mario Raffa, Armelle Reca Remedio, Christoph Schär, Pedro M. M. Soares, Lidija Srnec, Birthe Marie Steensen, Paolo Stocchi, Merja Tölle, Heimo Truhetz, Jesús Vergara‐Temprado, Hylke de Vries, Kirsten Warrach‐Sagi, Volker Wulfmeyer, Mar J. Zander

Climate Dynamics · 2021

Read source ↗ All evidence

Summary

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 $$\sim $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>∼</mml:mo> </mml:math> 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 ( $$\sim $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>∼</mml:mo> </mml:math> 12 km) RCMs with parameterized convection. The model simulations and observations are com

Source type
Peer-reviewed study
DOI
10.1007/s00382-021-05708-w
Catalogue ID
SNmokylrbn-8iiv72
Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.