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

Dorheim, Kalyn; Smith, Steven J.; Bond-Lamberty, Ben

doi:https://doi.org/10.5194/gmd-14-365-2021

Articles | Volume 14, issue 1

https://doi.org/10.5194/gmd-14-365-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-14-365-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 1

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, Steven J. Smith, and Ben Bond-Lamberty

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

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.