Scalable Feature Extraction and Tracking (SCAFET): a general framework for feature extraction from large climate data sets

Nellikkattil, Arjun Babu; Lemmon, Danielle; O'Brien, Travis Allen; Lee, June-Yi; Chu, Jung-Eun

doi:https://doi.org/10.5194/gmd-17-301-2024

Articles | Volume 17, issue 1

https://doi.org/10.5194/gmd-17-301-2024

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

https://doi.org/10.5194/gmd-17-301-2024

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

Articles | Volume 17, issue 1

Methods for assessment of models

|

15 Jan 2024

Methods for assessment of models |

| 15 Jan 2024

Scalable Feature Extraction and Tracking (SCAFET): a general framework for feature extraction from large climate data sets

Arjun Babu Nellikkattil, Danielle Lemmon, Travis Allen O'Brien, June-Yi Lee, and Jung-Eun Chu

Supplement

https://doi.org/10.5194/gmd-17-301-2024-supplement

Data sets

Scalable Feature Extraction and Tracking (SCAFET): A general framework for feature extraction from large climate datasets Arjun Babu Nellikkattil https://doi.org/10.5281/zenodo.7767301

ERA5 hourly data on single levels from 1940 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.adbb2d47

ERA5 hourly data on pressure levels from 1940 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.bd0915c6

Model code and software

Scalable Feature Extraction and Tracking (SCAFET): A general framework for feature extraction from large climate datasets Arjun Babu Nellikkattil https://doi.org/10.5281/zenodo.7767301

Short summary

This study introduces a new computational framework called Scalable Feature Extraction and Tracking (SCAFET), designed to extract and track features in climate data. SCAFET stands out by using innovative shape-based metrics to identify features without relying on preconceived assumptions about the climate model or mean state. This approach allows more accurate comparisons between different models and scenarios.