Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 7
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

Viewed

Total article views: 670 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
453 173 44 670 68 35 27
  • HTML: 453
  • PDF: 173
  • XML: 44
  • Total: 670
  • Supplement: 68
  • BibTeX: 35
  • EndNote: 27
Views and downloads (calculated since 02 May 2023)
Cumulative views and downloads (calculated since 02 May 2023)

Viewed (geographical distribution)

Total article views: 670 (including HTML, PDF, and XML) Thereof 687 with geography defined and -17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 May 2024
Download
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.
Read more