Articles | Volume 14, issue 1
Geosci. Model Dev., 14, 365–375, 2021
Geosci. Model Dev., 14, 365–375, 2021

Model description paper 22 Jan 2021

Model description paper | 22 Jan 2021

HIRM v1.0: a hybrid impulse response model for climate modeling and uncertainty analyses

Kalyn Dorheim et al.

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Cited articles

Acosta Navarro, J. C., Varma, V., Riipinen, I., Seland, Ø., Kirkevåg, A., Struthers, H., Iversen, T., Hansson, H.-C., and Ekman, A. M. L.: Amplification of Arctic warming by past air pollution reductions in Europe, Nat. Geosci., 9, 277–281,, 2016. 
Boas, M. L.: Mathematical Methods in the Physical Sciences, Wiley, available at: (last access: 11 January 2021), 2006. 
Claussen, M., Mysak, L., Weaver, A., Crucifix, M., Fichefet, T., Loutre, M.-F., Weber, S., Alcamo, J., Alexeev, V., Berger, A., Calov, R., Ganopolski, A., Goosse, H., Lohmann, G., Lunkeit, F., Mokhov, I., Petoukhov, V., Stone, P., and Wang, Z.: Earth system models of intermediate complexity: closing the gap in the spectrum of climate system models, Clim. Dynam., 18, 579–586,, 2002. 
Dorheim, K. and Bond-Lamberty, B.: JGCRI/HIRM: Dorheim et al. 2020 submitted to GMD (Version v1.0.0), Zenodo,, 2020. 
Short summary
Simple climate models are frequently used in research and decision-making communities because of their tractability and low computational cost. Simple climate models are diverse, including highly idealized and process-based models. Here we present a hybrid approach that combines the strength of two types of simple climate models in a flexible framework. This hybrid approach has provided insights into the climate system and opens an avenue for investigating radiative forcing uncertainties.