Articles | Volume 14, issue 8
https://doi.org/10.5194/gmd-14-5023-2021
© 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-14-5023-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
TempestExtremes v2.1: a community framework for feature detection, tracking, and analysis in large datasets
Department of Land, Air and Water Resources, University of California, Davis, CA, USA
Colin M. Zarzycki
Department of Meteorology and Atmospheric Science, Pennsylvania State University, University Park, PA, USA
Elizabeth E. McClenny
Department of Land, Air and Water Resources, University of California, Davis, CA, USA
Marielle C. Pinheiro
Department of Land, Air and Water Resources, University of California, Davis, CA, USA
Alyssa M. Stansfield
School of Marine and Atmospheric Sciences, State University of New York at Stony Brook, Stony Brook, NY, USA
Kevin A. Reed
School of Marine and Atmospheric Sciences, State University of New York at Stony Brook, Stony Brook, NY, USA
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- High‐Resolution CCAM Simulations Over New Zealand and the South Pacific for the Detection and Attribution of Weather Extremes P. Gibson et al. 10.1029/2023JD038530
- Tropical cyclone strength, precipitation, and environment in variable resolution CAM-MPAS simulations over Western North Pacific Y. Liang et al. 10.1007/s00382-023-06677-y
- Subseasonal Tropical Cyclone Prediction and Modulations by MJO and ENSO in CESM2 H. Li et al. 10.1029/2022JD036986
- A composite approach to produce reference datasets for extratropical cyclone tracks: application to Mediterranean cyclones E. Flaounas et al. 10.5194/wcd-4-639-2023
- Evaluating Mesoscale Convective Systems Over the US in Conventional and Multiscale Modeling Framework Configurations of E3SMv1 W. Hsu et al. 10.1029/2023JD038740
- Impact of Grids and Dynamical Cores in CESM2.2 on the Surface Mass Balance of the Greenland Ice Sheet A. Herrington et al. 10.1029/2022MS003192
- The E3SM Diagnostics Package (E3SM Diags v2.7): a Python-based diagnostics package for Earth system model evaluation C. Zhang et al. 10.5194/gmd-15-9031-2022
- Upper‐Tropospheric Troughs and North American Monsoon Rainfall in a Long‐Term Track Dataset M. Igel et al. 10.1029/2021JD034541
- EMPRESS: Accelerating Scientific Discovery through Descriptive Metadata Management M. Lawson et al. 10.1145/3523698
- Attribution of 2020 hurricane season extreme rainfall to human-induced climate change K. Reed et al. 10.1038/s41467-022-29379-1
- Assessing the representation of tropical cyclones in ERA5 with the CNRM tracker W. Dulac et al. 10.1007/s00382-023-06902-8
- A methodology for attributing severe extratropical cyclones to climate change based on reanalysis data: the case study of storm Alex 2020 M. Ginesta et al. 10.1007/s00382-022-06565-x
- Continental United States climate projections based on thermodynamic modification of historical weather A. Jones et al. 10.1038/s41597-023-02485-5
- Impact of Tropical Cyclone Wind Forcing on the Global Climate in a Fully Coupled Climate Model H. Li et al. 10.1175/JCLI-D-22-0211.1
- Sowing Storms: How Model Timestep Can Control Tropical Cyclone Frequency in a GCM C. Zarzycki 10.1029/2021MS002791
- Tropical Cyclone Precipitation Response to Surface Warming in Aquaplanet Simulations With Uniform Thermal Forcing A. Stansfield & K. Reed 10.1029/2021JD035197
- Quantifying Heavy Precipitation throughout the Entire Tropical Cyclone Life Cycle E. Bower et al. 10.1175/JHM-D-21-0153.1
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- A storyline analysis of Hurricane Irma’s precipitation under various levels of climate warming A. Huprikar et al. 10.1088/1748-9326/ad0c89
- A glacial lake outburst floods hazard assessment in the Patagonian Andes combining inventory data and case-studies B. Colavitto et al. 10.1016/j.scitotenv.2023.169703
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- Convection in future winter storms over Northern Europe S. Berthou et al. 10.1088/1748-9326/aca03a
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- CyTRACK: An open-source and user-friendly python toolbox for detecting and tracking cyclones A. Pérez-Alarcón et al. 10.1016/j.envsoft.2024.106027
- Metrics as tools for bridging climate science and applications K. Reed et al. 10.1002/wcc.799
- Contrasting Responses of Atlantic and Pacific Tropical Cyclone Activity to Atlantic Multidecadal Variability H. Huang et al. 10.1029/2023GL102959
- Role of Tropical Cyclones in Determining ENSO Characteristics H. Li et al. 10.1029/2022GL101814
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Latest update: 28 Mar 2024
Short summary
TempestExtremes (TE) is a multifaceted framework for feature detection, tracking, and scientific analysis of regional or global Earth system datasets. Version 2.1 of TE now provides extensive support for nodal and areal features. This paper describes the algorithms that have been added to the TE framework since version 1.0 and gives several examples of how these can be combined to produce composite algorithms for evaluating and understanding atmospheric features.
TempestExtremes (TE) is a multifaceted framework for feature detection, tracking, and scientific...