Articles | Volume 14, issue 1
Geosci. Model Dev., 14, 365–375, 2021
https://doi.org/10.5194/gmd-14-365-2021
Geosci. Model Dev., 14, 365–375, 2021
https://doi.org/10.5194/gmd-14-365-2021

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.

Data sets

Code and Data for A hybrid impulse response model for climate modeling and uncertainty analyses Kalyn Dorheim, Steven Smith, and Ben Bond-Lamberty https://doi.org/10.17605/OSF.IO/KMRJ8

Model code and software

HRIM Kalyn Dorheim and Ben Bond-Lamberty https://doi.org/10.5281/zenodo.3756122

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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.