Articles | Volume 12, issue 12
Geosci. Model Dev., 12, 5229–5249, 2019
https://doi.org/10.5194/gmd-12-5229-2019
Geosci. Model Dev., 12, 5229–5249, 2019
https://doi.org/10.5194/gmd-12-5229-2019

Model evaluation paper 13 Dec 2019

Model evaluation paper | 13 Dec 2019

Sensitivity studies with the regional climate model COSMO-CLM 5.0 over the CORDEX Central Asia Domain

Emmanuele Russo et al.

Related authors

Development of an atmospheric chemistry model coupled to the PALM model system 6.0: implementation and first applications
Basit Khan, Sabine Banzhaf, Edward C. Chan, Renate Forkel, Farah Kanani-Sühring, Klaus Ketelsen, Mona Kurppa, Björn Maronga, Matthias Mauder, Siegfried Raasch, Emmanuele Russo, Martijn Schaap, and Matthias Sühring
Geosci. Model Dev., 14, 1171–1193, https://doi.org/10.5194/gmd-14-1171-2021,https://doi.org/10.5194/gmd-14-1171-2021, 2021
Short summary
Towards high-resolution climate reconstruction using an off-line data assimilation and COSMO-CLM 5.00 model
Bijan Fallah, Emmanuele Russo, Walter Acevedo, Achille Mauri, Nico Becker, and Ulrich Cubasch
Clim. Past, 14, 1345–1360, https://doi.org/10.5194/cp-14-1345-2018,https://doi.org/10.5194/cp-14-1345-2018, 2018
Short summary
Mid-to-late Holocene temperature evolution and atmospheric dynamics over Europe in regional model simulations
Emmanuele Russo and Ulrich Cubasch
Clim. Past, 12, 1645–1662, https://doi.org/10.5194/cp-12-1645-2016,https://doi.org/10.5194/cp-12-1645-2016, 2016
Short summary

Related subject area

Climate and Earth system modeling
Developing a common, flexible and efficient framework for weakly coupled ensemble data assimilation based on C-Coupler2.0
Chao Sun, Li Liu, Ruizhe Li, Xinzhu Yu, Hao Yu, Biao Zhao, Guansuo Wang, Juanjuan Liu, Fangli Qiao, and Bin Wang
Geosci. Model Dev., 14, 2635–2657, https://doi.org/10.5194/gmd-14-2635-2021,https://doi.org/10.5194/gmd-14-2635-2021, 2021
Short summary
JULES-CN: a coupled terrestrial carbon–nitrogen scheme (JULES vn5.1)
Andrew J. Wiltshire, Eleanor J. Burke, Sarah E. Chadburn, Chris D. Jones, Peter M. Cox, Taraka Davies-Barnard, Pierre Friedlingstein, Anna B. Harper, Spencer Liddicoat, Stephen Sitch, and Sönke Zaehle
Geosci. Model Dev., 14, 2161–2186, https://doi.org/10.5194/gmd-14-2161-2021,https://doi.org/10.5194/gmd-14-2161-2021, 2021
Short summary
Ensemble prediction using a new dataset of ECMWF initial states – OpenEnsemble 1.0
Pirkka Ollinaho, Glenn D. Carver, Simon T. K. Lang, Lauri Tuppi, Madeleine Ekblom, and Heikki Järvinen
Geosci. Model Dev., 14, 2143–2160, https://doi.org/10.5194/gmd-14-2143-2021,https://doi.org/10.5194/gmd-14-2143-2021, 2021
Short summary
Global evaluation of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 (r5986)
Yan Sun, Daniel S. Goll, Jinfeng Chang, Philippe Ciais, Betrand Guenet, Julian Helfenstein, Yuanyuan Huang, Ronny Lauerwald, Fabienne Maignan, Victoria Naipal, Yilong Wang, Hui Yang, and Haicheng Zhang
Geosci. Model Dev., 14, 1987–2010, https://doi.org/10.5194/gmd-14-1987-2021,https://doi.org/10.5194/gmd-14-1987-2021, 2021
Short summary
Quantifying and attributing time step sensitivities in present-day climate simulations conducted with EAMv1
Hui Wan, Shixuan Zhang, Philip J. Rasch, Vincent E. Larson, Xubin Zeng, and Huiping Yan
Geosci. Model Dev., 14, 1921–1948, https://doi.org/10.5194/gmd-14-1921-2021,https://doi.org/10.5194/gmd-14-1921-2021, 2021
Short summary

Cited articles

Airey, M. and Hulme, M.: Evaluating climate model simulations of precipitation: methods, problems and performance, Prog. Phys. Geog., 19, 427–448, 1995. a
Alexeev, V., Nicolsky, D., Romanovsky, V., and Lawrence, D.: An evaluation of deep soil configurations in the CLM3 for improved representation of permafrost, Geophys. Res. Lett., 34, L09502, https://doi.org/10.1029/2007GL029536, 2007. a
Awan, N., Truhetz, H., and Gobiet, A.: Parameterization-induced error characteristics of MM5 and WRF operated in climate mode over the Alpine region: an ensemble-based analysis, J. Climate, 24, 3107–3123, 2011. a
Bachner, S., Kapala, A., and Simmer, C.: Evaluation of daily precipitation characteristics in the CLM and their sensitivity to parameterizations, Meteorol. Z., 17, 407–419, 2008. a
Download
Short summary
This is an investigation of COSMO-CLM 5.0 sensitivity for the CORDEX Central Asia domain, with the main goal of evaluating general model performances for the area, proposing a model optimal configuration to be used in projection studies. Results show that the model seems to be particularly sensitive to those parameterizations that deal with soil and surface features and that could positively affect the repartition of incoming radiation.