REHEATFUNQ (REgional HEAT-Flow Uncertainty and aNomaly Quantification) 2.0.1: a model for regional aggregate heat flow distributions and anomaly quantification

Ziebarth, Malte Jörn; von Specht, Sebastian

doi:https://doi.org/10.5194/gmd-17-2783-2024

Articles | Volume 17, issue 7

https://doi.org/10.5194/gmd-17-2783-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-17-2783-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 7

Model description paper

|

15 Apr 2024

Model description paper |

| 15 Apr 2024

REHEATFUNQ (REgional HEAT-Flow Uncertainty and aNomaly Quantification) 2.0.1: a model for regional aggregate heat flow distributions and anomaly quantification

Malte Jörn Ziebarth and Sebastian von Specht

Supplement

https://doi.org/10.5194/gmd-17-2783-2024-supplement

Model code and software

REHEATFUNQ: A Python package for the inference of regional aggregate heat flow distributions and heat flow anomalies Malte Jörn Ziebarth https://doi.org/10.5880/GFZ.2.6.2023.002

REHEATFUNQ: REgional HEAT-Flow Uncertainty and aNomaly Quantification, Python Package Version 2.0.1 Malte Jörn Ziebarth https://doi.org/10.5281/zenodo.10614892

Short summary

Thermal energy from Earth’s active interior constantly dissipates through Earth’s surface. This heat flow is not spatially uniform, and its exact pattern is hard to predict since it depends on crustal and mantle properties, both varying across scales. Our new model REHEATFUNQ addresses this difficulty by treating the fluctuations of heat flow within a region statistically. REHEATFUNQ estimates the regional distribution of heat flow and quantifies known structural signals therein.