Articles | Volume 14, issue 5
Geosci. Model Dev., 14, 2351–2369, 2021
https://doi.org/10.5194/gmd-14-2351-2021
Geosci. Model Dev., 14, 2351–2369, 2021
https://doi.org/10.5194/gmd-14-2351-2021
Model description paper
03 May 2021
Model description paper | 03 May 2021

pyPI (v1.3): Tropical Cyclone Potential Intensity Calculations in Python

Daniel M. Gilford

Related authors

A multi-method framework for global real-time climate attribution
Daniel M. Gilford, Andrew Pershing, Benjamin H. Strauss, Karsten Haustein, and Friederike E. L. Otto
Adv. Stat. Clim. Meteorol. Oceanogr., 8, 135–154, https://doi.org/10.5194/ascmo-8-135-2022,https://doi.org/10.5194/ascmo-8-135-2022, 2022
Short summary

Related subject area

Atmospheric sciences
Simulated microphysical properties of winter storms from bulk-type microphysics schemes and their evaluation in the Weather Research and Forecasting (v4.1.3) model during the ICE-POP 2018 field campaign
Jeong-Su Ko, Kyo-Sun Sunny Lim, Kwonil Kim, Gyuwon Lee, Gregory Thompson, and Alexis Berne
Geosci. Model Dev., 15, 4529–4553, https://doi.org/10.5194/gmd-15-4529-2022,https://doi.org/10.5194/gmd-15-4529-2022, 2022
Short summary
A novel method for objective identification of 3-D potential vorticity anomalies
Christoph Fischer, Andreas H. Fink, Elmar Schömer, Roderick van der Linden, Michael Maier-Gerber, Marc Rautenhaus, and Michael Riemer
Geosci. Model Dev., 15, 4447–4468, https://doi.org/10.5194/gmd-15-4447-2022,https://doi.org/10.5194/gmd-15-4447-2022, 2022
Short summary
Multiple same-level and telescoping nesting in GFDL's dynamical core
Joseph Mouallem, Lucas Harris, and Rusty Benson
Geosci. Model Dev., 15, 4355–4371, https://doi.org/10.5194/gmd-15-4355-2022,https://doi.org/10.5194/gmd-15-4355-2022, 2022
Short summary
Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties
Clara Betancourt, Timo T. Stomberg, Ann-Kathrin Edrich, Ankit Patnala, Martin G. Schultz, Ribana Roscher, Julia Kowalski, and Scarlet Stadtler
Geosci. Model Dev., 15, 4331–4354, https://doi.org/10.5194/gmd-15-4331-2022,https://doi.org/10.5194/gmd-15-4331-2022, 2022
Short summary
Assessing the roles emission sources and atmospheric processes play in simulating δ15N of atmospheric NOx and NO3 using CMAQ (version 5.2.1) and SMOKE (version 4.6)
Huan Fang and Greg Michalski
Geosci. Model Dev., 15, 4239–4258, https://doi.org/10.5194/gmd-15-4239-2022,https://doi.org/10.5194/gmd-15-4239-2022, 2022
Short summary

Cited articles

Bell, M. M., Montgomery, M. T., and Emanuel, K. A.: Air–Sea Enthalpy and Momentum Exchange at Major Hurricane Wind Speeds Observed during CBLAST, J. Atmos. Sci., 69, 3197–3222, https://doi.org/10.1175/JAS-D-11-0276.1, 2012. a
Bister, M. and Emanuel, K. A.: Dissipative heating and hurricane intensity, Meteorol. Atmos. Phys., 65, 233–240, https://doi.org/10.1007/BF01030791, 1998. a, b, c, d
Bister, M. and Emanuel, K. A.: Low frequency variability of tropical cyclone potential intensity 1. Interannual to interdecadal variability, J. Geophys. Res.-Atmos., 107, 4801, https://doi.org/10.1029/2001JD000776, 2002. a, b, c, d, e, f, g, h, i, j, k
Blumberg, W. G., Halbert, K. T., Supinie, T. A., Marsh, P. T., Thompson, R. L., and Hart, J. A.: Sharppy: An open-source sounding analysis toolkit for the atmospheric sciences, B. Am. Meteorol. Soc., 98, 1625–1636, https://doi.org/10.1175/BAMS-D-15-00309.1, 2017. a, b
Bolton, D.: The Computation of Equivalent Potential Temperature, Mon. Weather Rev., 108, 1046–1053, https://doi.org/10.1175/1520-0493(1980)108<1046:TCOEPT>2.0.CO;2, 1980. a, b, c
Download
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.