Articles | Volume 7, issue 6
https://doi.org/10.5194/gmd-7-3037-2014
https://doi.org/10.5194/gmd-7-3037-2014
Development and technical paper
 | 
18 Dec 2014
Development and technical paper |  | 18 Dec 2014

Evaluation of North Eurasian snow-off dates in the ECHAM5.4 atmospheric general circulation model

P. Räisänen, A. Luomaranta, H. Järvinen, M. Takala, K. Jylhä, O. N. Bulygina, K. Luojus, A. Riihelä, A. Laaksonen, J. Koskinen, and J. Pulliainen

Related authors

Technical note: Emulation of a large-eddy simulator for stratocumulus clouds in a general circulation model
Kalle Nordling, Jukka-Pekka Keskinen, Sami Romakkaniemi, Harri Kokkola, Petri Räisänen, Antti Lipponen, Antti-Ilari Partanen, Jaakko Ahola, Juha Tonttila, Muzaffer Ege Alper, Hannele Korhonen, and Tomi Raatikainen
Atmos. Chem. Phys., 24, 869–890, https://doi.org/10.5194/acp-24-869-2024,https://doi.org/10.5194/acp-24-869-2024, 2024
Short summary
Mapping the dependence of black carbon radiative forcing on emission region and season
Petri Räisänen, Joonas Merikanto, Risto Makkonen, Mikko Savolahti, Alf Kirkevåg, Maria Sand, Øyvind Seland, and Antti-Ilari Partanen
Atmos. Chem. Phys., 22, 11579–11602, https://doi.org/10.5194/acp-22-11579-2022,https://doi.org/10.5194/acp-22-11579-2022, 2022
Short summary
Technical note: Parameterising cloud base updraft velocity of marine stratocumuli
Jaakko Ahola, Tomi Raatikainen, Muzaffer Ege Alper, Jukka-Pekka Keskinen, Harri Kokkola, Antti Kukkurainen, Antti Lipponen, Jia Liu, Kalle Nordling, Antti-Ilari Partanen, Sami Romakkaniemi, Petri Räisänen, Juha Tonttila, and Hannele Korhonen
Atmos. Chem. Phys., 22, 4523–4537, https://doi.org/10.5194/acp-22-4523-2022,https://doi.org/10.5194/acp-22-4523-2022, 2022
Short summary
Evaluation of Northern Hemisphere snow water equivalent in CMIP6 models during 1982–2014
Kerttu Kouki, Petri Räisänen, Kari Luojus, Anna Luomaranta, and Aku Riihelä
The Cryosphere, 16, 1007–1030, https://doi.org/10.5194/tc-16-1007-2022,https://doi.org/10.5194/tc-16-1007-2022, 2022
Short summary
How Asian aerosols impact regional surface temperatures across the globe
Joonas Merikanto, Kalle Nordling, Petri Räisänen, Jouni Räisänen, Declan O'Donnell, Antti-Ilari Partanen, and Hannele Korhonen
Atmos. Chem. Phys., 21, 5865–5881, https://doi.org/10.5194/acp-21-5865-2021,https://doi.org/10.5194/acp-21-5865-2021, 2021
Short summary

Related subject area

Climate and Earth system modeling
Quantifying wildfire drivers and predictability in boreal peatlands using a two-step error-correcting machine learning framework in TeFire v1.0
Rongyun Tang, Mingzhou Jin, Jiafu Mao, Daniel M. Ricciuto, Anping Chen, and Yulong Zhang
Geosci. Model Dev., 17, 1525–1542, https://doi.org/10.5194/gmd-17-1525-2024,https://doi.org/10.5194/gmd-17-1525-2024, 2024
Short summary
Benchmarking GOCART-2G in the Goddard Earth Observing System (GEOS)
Allison B. Collow, Peter R. Colarco, Arlindo M. da Silva, Virginie Buchard, Huisheng Bian, Mian Chin, Sampa Das, Ravi Govindaraju, Dongchul Kim, and Valentina Aquila
Geosci. Model Dev., 17, 1443–1468, https://doi.org/10.5194/gmd-17-1443-2024,https://doi.org/10.5194/gmd-17-1443-2024, 2024
Short summary
Energy-conserving physics for nonhydrostatic dynamics in mass coordinate models
Oksana Guba, Mark A. Taylor, Peter A. Bosler, Christopher Eldred, and Peter H. Lauritzen
Geosci. Model Dev., 17, 1429–1442, https://doi.org/10.5194/gmd-17-1429-2024,https://doi.org/10.5194/gmd-17-1429-2024, 2024
Short summary
Evaluation and optimisation of the soil carbon turnover routine in the MONICA model (version 3.3.1)
Konstantin Aiteew, Jarno Rouhiainen, Claas Nendel, and René Dechow
Geosci. Model Dev., 17, 1349–1385, https://doi.org/10.5194/gmd-17-1349-2024,https://doi.org/10.5194/gmd-17-1349-2024, 2024
Short summary
Assessing the sensitivity of aerosol mass budget and effective radiative forcing to horizontal grid spacing in E3SMv1 using a regional refinement approach
Jianfeng Li, Kai Zhang, Taufiq Hassan, Shixuan Zhang, Po-Lun Ma, Balwinder Singh, Qiyang Yan, and Huilin Huang
Geosci. Model Dev., 17, 1327–1347, https://doi.org/10.5194/gmd-17-1327-2024,https://doi.org/10.5194/gmd-17-1327-2024, 2024
Short summary

Cited articles

AMIP Project Office: AMIP II Guidelines, AMIP Newsletter, 8, available at: http://www-pcmdi.llnl.gov/projects/amip/NEWS/amipnl8.php (last access: 6 November 2014), 1996.
Arino, O., Ramos Perez, J. J., Kalogirou, V., Bontemps, S., Defourny, P., and Van Bogaert, E.: Global land cover map for 2009 (GlobCover 2009), European Space Agency (ESA) and Université Catholique de Louvain (UCL), https://doi.org/10.1594/PANGAEA.787668, 2012.
Armstrong, R. L., Knowles, K. W., Brodzik, M. J., and Hardman, M. A.: DMSP SSM/I Pathfinder Daily EASE-Grid Brightness Temperatures, January 1987–July 2008, National Snow and Ice Data Center, Boulder, Colorado, USA, digital media, 1994.
Bontemps, S., Defourny, P., Van Bogaert, E., Arino, O., Kalogirou, V., and Ramos Perez, J. J.: GLOBCOVER 2009 Products description and validation report. Université Catholique de Louvain (UCL) and European Space Agency (ESA), Vers. 2.2, 53 pp., available at: http://epic.awi.de/31014/16/GLOBCOVER2009_Validation_Report_2-2.pdf (last access: 6 November 2014), 2011.
Brohan, P., Kennedy, J. J., Harris, I., Tett, S. F. B., and Jones, P. D.: Uncertainty estimates in regional and global observed temperature changes: a new data set from 1850, J. Geophys. Res., 111, D12106, https://doi.org/10.1029/2005JD006548, 2006.
Download
Short summary
Snowmelt influences greatly the climatic conditions in spring. This study evaluates the timing of springtime end of snowmelt in the ECHAM5 model. A key finding is that, in much of northern Eurasia, snow disappears too early in ECHAM5, in spite of a slight cold bias in spring. This points to the need for a more comprehensive treatment of the surface energy budget. In particular, the surface temperature for the snow-covered and snow-free parts of a climate model grid cell should be separated.