Climatic higher-order balanced winds beyond geostrophic and gradient wind fields

The input data are based on the 2.5°x2.5° ERA5 monthly mean data on pressure levels (10.24381/cds.6860a573). ERA5 geopotential field is used to estimate monthly winds by utilizing climatic higher-order balanced wind method. The efficacy of the proposed method is tested against the original wind field in ERA5. Python scripts "main_code" and "plot_figures_final" serve to produce spatial plots and boxplot to analyze wind bias.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-17
DOI
https://doi.org/10.5281/zenodo.15037891
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
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article

Climatic higher-order balanced winds beyond geostrophic and gradient wind fields

Zenodo (CERN European Organization for Nuclear Research)
Meteorological Phenomena and Simulations
article

Climatic higher-order balanced winds beyond geostrophic and gradient wind fields

article en

Abstract

The input data are based on the 2.5°x2.5° ERA5 monthly mean data on pressure levels (10.24381/cds.6860a573). ERA5 geopotential field is used to estimate monthly winds by utilizing climatic higher-order balanced wind method. The efficacy of the proposed method is tested against the original wind field in ERA5. Python scripts "main_code" and "plot_figures_final" serve to produce spatial plots and boxplot to analyze wind bias.

Zenodo (CERN European Organization for Nuclear Research)
Climate action
Openalex Percentile: Top 52%
Meteorological Phenomena and Simulations
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Climatic higher-order balanced winds beyond geostrophic and gradient wind fields · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS