Articles | Volume 17, issue 7
Model description paper
17 Apr 2024
Model description paper |  | 17 Apr 2024

CLASH – Climate-responsive Land Allocation model with carbon Storage and Harvests

Tommi Ekholm, Nadine-Cyra Freistetter, Aapo Rautiainen, and Laura Thölix

Related authors

Carbon sequestration in different urban vegetation types in Southern Finland
Laura Thölix, Leif Backman, Minttu Havu, Esko Karvinen, Jesse Soininen, Justine Trémeau, Olli Nevalainen, Joyson Ahongshangbam, Leena Järvi, and Liisa Kulmala
EGUsphere,,, 2024
Short summary
Effect of small-scale snow surface roughness on snow albedo and reflectance
Terhikki Manninen, Kati Anttila, Emmihenna Jääskeläinen, Aku Riihelä, Jouni Peltoniemi, Petri Räisänen, Panu Lahtinen, Niilo Siljamo, Laura Thölix, Outi Meinander, Anna Kontu, Hanne Suokanerva, Roberta Pirazzini, Juha Suomalainen, Teemu Hakala, Sanna Kaasalainen, Harri Kaartinen, Antero Kukko, Olivier Hautecoeur, and Jean-Louis Roujean
The Cryosphere, 15, 793–820,,, 2021
Short summary
Variations in the vertical profile of ozone at four high-latitude Arctic sites from 2005 to 2017
Shima Bahramvash Shams, Von P. Walden, Irina Petropavlovskikh, David Tarasick, Rigel Kivi, Samuel Oltmans, Bryan Johnson, Patrick Cullis, Chance W. Sterling, Laura Thölix, and Quentin Errera
Atmos. Chem. Phys., 19, 9733–9751,,, 2019
Short summary
UV measurements at Marambio and Ushuaia during 2000–2010
Kaisa Lakkala, Alberto Redondas, Outi Meinander, Laura Thölix, Britta Hamari, Antonio Fernando Almansa, Virgilio Carreno, Rosa Delia García, Carlos Torres, Guillermo Deferrari, Hector Ochoa, Germar Bernhard, Ricardo Sanchez, and Gerrit de Leeuw
Atmos. Chem. Phys., 18, 16019–16031,,, 2018
Short summary
Linking uncertainty in simulated Arctic ozone loss to uncertainties in modelled tropical stratospheric water vapour
Laura Thölix, Alexey Karpechko, Leif Backman, and Rigel Kivi
Atmos. Chem. Phys., 18, 15047–15067,,, 2018
Short summary

Related subject area

Integrated assessment modeling
Carbon Monitor Power-Simulators (CMP-SIM v1.0) across countries: a data-driven approach to simulate daily power generation
Léna Gurriaran, Yannig Goude, Katsumasa Tanaka, Biqing Zhu, Zhu Deng, Xuanren Song, and Philippe Ciais
Geosci. Model Dev., 17, 2663–2682,,, 2024
Short summary
Intercomparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1–CMAQ v5.3.1, WRF–Chem v4.1.1, and WRF v3.7.1–CHIMERE v2020r1) in eastern China
Chao Gao, Xuelei Zhang, Aijun Xiu, Qingqing Tong, Hongmei Zhao, Shichun Zhang, Guangyi Yang, Mengduo Zhang, and Shengjin Xie
Geosci. Model Dev., 17, 2471–2492,,, 2024
Short summary
MESSAGEix-GLOBIOM nexus module: integrating water sector and climate impacts
Muhammad Awais, Adriano Vinca, Edward Byers, Stefan Frank, Oliver Fricko, Esther Boere, Peter Burek, Miguel Poblete Cazenave, Paul Natsuo Kishimoto, Alessio Mastrucci, Yusuke Satoh, Amanda Palazzo, Madeleine McPherson, Keywan Riahi, and Volker Krey
Geosci. Model Dev., 17, 2447–2469,,, 2024
Short summary
Minimum-variance-based outlier detection method using forward-search model error in geodetic networks
Utkan M. Durdağ
Geosci. Model Dev., 17, 2187–2196,,, 2024
Short summary
Modelling long-term industry energy demand and CO2 emissions in the system context using REMIND (version 3.1.0)
Michaja Pehl, Felix Schreyer, and Gunnar Luderer
Geosci. Model Dev., 17, 2015–2038,,, 2024
Short summary

Cited articles

Ahlström, A., Schurgers, G., and Smith, B.: The large influence of climate model bias on terrestrial carbon cycle simulations, Environ. Res. Lett., 12, 014004,, 2017. 
Bar-On, Y. M., Phillips, R., and Milo, R.: The biomass distribution on Earth, P. Natl. Acad. Sci. USA, 115, 6506–6511,, 2018. 
Beyer, R. M., Hua, F., Martin, P. A., Manica, A., and Rademacher, T.: Relocating croplands could drastically reduce the environmental impacts of global food production, Commun. Earth. Environ., 3, 1–11,, 2022. 
Daigneault, A., Baker, J. S., Guo, J., Lauri, P., Favero, A., Forsell, N., Johnston, C., Ohrel, S. B., and Sohngen, B.: How the future of the global forest sink depends on timber demand , forest management, and carbon policies, Global Environ. Chang., 76, 102582,, 2022. 
Daioglou, V., Doelman, J. C., Wicke, B., Faaij, A., and van Vuuren, D. P.: Integrated assessment of biomass supply and demand in climate change mitigation scenarios, Global Environ. Chang., 54, 88–101,, 2019. 
Short summary
CLASH is a numerical model that portrays land allocation between different uses, land carbon stocks, and agricultural and forestry production globally. CLASH can help in examining the role of land use in mitigating climate change, providing food and biogenic raw materials for the economy, and conserving primary ecosystems. Our demonstration with CLASH confirms that reduction of animal-based food, shifting croplands and storing carbon in forests are effective ways to mitigate climate change.