Articles | Volume 14, issue 5
https://doi.org/10.5194/gmd-14-2351-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-2351-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
03 May 2021
Model description paper |
| 03 May 2021
| 03 May 2021
pyPI (v1.3): Tropical Cyclone Potential Intensity Calculations in Python
Daniel M. Gilford
CORRESPONDING AUTHOR
Institute of Earth, Ocean, and Atmospheric Sciences and Department of Earth and Planetary Sciences, Rutgers University, 71 Dudley Road, Suite 205, New Brunswick, NJ 08901, USA
Climate Central, Princeton, NJ, USA
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Cited
19 citations as recorded by crossref.
- Bias Analysis in the Simulation of the Western North Pacific Tropical Cyclone Characteristics by Two High-Resolution Global Atmospheric Models Q. Liu et al. 10.1007/s00376-022-2159-2
- Increase in western North Pacific tropical cyclone intensification rates and their northwestward shifts J. Huang et al. 10.1016/j.atmosres.2024.107292
- Influence of vertical wind shear on the maximum potential intensity of tropical cyclones over the Bay of Bengal region A. Pal & S. Chatterjee 10.1007/s12040-022-02003-y
- Recent global increase in multiple rapid intensification of tropical cyclones N. Manikanta et al. 10.1038/s41598-023-43290-9
- An Open‐Source, Physics‐Based, Tropical Cyclone Downscaling Model With Intensity‐Dependent Steering J. Lin et al. 10.1029/2023MS003686
- Mechanisms of tropical cyclone response under climate change in the community earth system model R. van Westen et al. 10.1007/s00382-023-06680-3
- The Imperial College Storm Model (IRIS) Dataset N. Sparks & R. Toumi 10.1038/s41597-024-03250-y
- A Weak Temperature Gradient Framework to Quantify the Causes of Potential Intensity Variability in the Tropics R. Rousseau-Rizzi & K. Emanuel 10.1175/JCLI-D-21-0139.1
- Subseasonal Tropical Cyclone Prediction and Modulations by MJO and ENSO in CESM2 H. Li et al. 10.1029/2022JD036986
- Targeted artificial ocean cooling to weaken tropical cyclones would be futile J. Hlywiak & D. Nolan 10.1038/s43247-022-00519-1
- Recent increases in tropical cyclone rapid intensification events in global offshore regions Y. Li et al. 10.1038/s41467-023-40605-2
- Changes in the thermodynamical profiles of the subsurface ocean and atmosphere induce cyclones to congregate over the Eastern Arabian Sea C. Abhiram Nirmal et al. 10.1038/s41598-023-42642-9
- Can low-resolution CMIP6 ScenarioMIP models provide insight into future European post-tropical-cyclone risk? E. Sainsbury et al. 10.5194/wcd-3-1359-2022
- An environment-driven basin scale tropical cyclone model F. Hu et al. 10.1016/j.strusafe.2024.102480
- The response of tropical cyclone intensity to changes in environmental temperature J. Done et al. 10.5194/wcd-3-693-2022
- Poleward expansion of tropical cyclone latitudes in warming climates J. Studholme et al. 10.1038/s41561-021-00859-1
- Variation Trends of Asymmetrical Precipitable Water Vapor Outside the Tropical Cyclone Center Over the WNP and WSP Ocean S. Yu et al. 10.1029/2023GL103841
- On the mechanisms of the historical lowest/highest tropical cyclone genesis over the western North Pacific in July/October 2020 K. Zhang et al. 10.1016/j.atmosres.2023.106968
- Earlier onset of North Atlantic hurricane season with warming oceans R. Truchelut et al. 10.1038/s41467-022-31821-3
18 citations as recorded by crossref.
- Bias Analysis in the Simulation of the Western North Pacific Tropical Cyclone Characteristics by Two High-Resolution Global Atmospheric Models Q. Liu et al. 10.1007/s00376-022-2159-2
- Increase in western North Pacific tropical cyclone intensification rates and their northwestward shifts J. Huang et al. 10.1016/j.atmosres.2024.107292
- Influence of vertical wind shear on the maximum potential intensity of tropical cyclones over the Bay of Bengal region A. Pal & S. Chatterjee 10.1007/s12040-022-02003-y
- Recent global increase in multiple rapid intensification of tropical cyclones N. Manikanta et al. 10.1038/s41598-023-43290-9
- An Open‐Source, Physics‐Based, Tropical Cyclone Downscaling Model With Intensity‐Dependent Steering J. Lin et al. 10.1029/2023MS003686
- Mechanisms of tropical cyclone response under climate change in the community earth system model R. van Westen et al. 10.1007/s00382-023-06680-3
- The Imperial College Storm Model (IRIS) Dataset N. Sparks & R. Toumi 10.1038/s41597-024-03250-y
- A Weak Temperature Gradient Framework to Quantify the Causes of Potential Intensity Variability in the Tropics R. Rousseau-Rizzi & K. Emanuel 10.1175/JCLI-D-21-0139.1
- Subseasonal Tropical Cyclone Prediction and Modulations by MJO and ENSO in CESM2 H. Li et al. 10.1029/2022JD036986
- Targeted artificial ocean cooling to weaken tropical cyclones would be futile J. Hlywiak & D. Nolan 10.1038/s43247-022-00519-1
- Recent increases in tropical cyclone rapid intensification events in global offshore regions Y. Li et al. 10.1038/s41467-023-40605-2
- Changes in the thermodynamical profiles of the subsurface ocean and atmosphere induce cyclones to congregate over the Eastern Arabian Sea C. Abhiram Nirmal et al. 10.1038/s41598-023-42642-9
- Can low-resolution CMIP6 ScenarioMIP models provide insight into future European post-tropical-cyclone risk? E. Sainsbury et al. 10.5194/wcd-3-1359-2022
- An environment-driven basin scale tropical cyclone model F. Hu et al. 10.1016/j.strusafe.2024.102480
- The response of tropical cyclone intensity to changes in environmental temperature J. Done et al. 10.5194/wcd-3-693-2022
- Poleward expansion of tropical cyclone latitudes in warming climates J. Studholme et al. 10.1038/s41561-021-00859-1
- Variation Trends of Asymmetrical Precipitable Water Vapor Outside the Tropical Cyclone Center Over the WNP and WSP Ocean S. Yu et al. 10.1029/2023GL103841
- On the mechanisms of the historical lowest/highest tropical cyclone genesis over the western North Pacific in July/October 2020 K. Zhang et al. 10.1016/j.atmosres.2023.106968
1 citations as recorded by crossref.
Latest update: 19 Nov 2024
Short summary
Potential intensity (PI) is a tropical cyclone's maximum speed limit given by modeling the storm as a thermal heat engine. pyPI is the first software package fully documenting the PI algorithm and translating it to Python. This study details/validates the underlying PI model and demonstrates its use in tropical cyclone intensity research. pyPI supports open science and transparency in the tropical meteorological community and is ideally suited for ongoing community development and improvement.
Potential intensity (PI) is a tropical cyclone's maximum speed limit given by modeling the storm...
