Gravity Wave Momentum Fluxes from 1 km Global ECMWF Integrated Forecast System

Progress in understanding the impact of mesoscale variability, including gravity waves (GWs), on atmospheric circulation is often limited by the availability of global fine-resolution observations and simulated data. This study presents momentum fluxes due to atmospheric GWs extracted from four months of an experimental "nature run", integrated at a 1 km resolution (XNR1K) using the Integrated Forecast System (IFS) model. Helmholtz decomposition is used to compute zonal and meridional flux of vertical momentum from ~1.5 petabytes of data; quantities often emulated by climate model parameterization of GWs. The fluxes are validated using ERA5 reanalysis, both during the first week after initialization and over the boreal winter period from November 2018 to February 2019. The agreement between reanalysis and IFS demonstrates its capability to generate reliable flux distributions and capture mesoscale dynamic variability in the atmosphere. The dataset could be valuable in advancing our understanding of GW-planetary wave interactions, GW evolution around atmospheric extremes, and as high-quality training data for machine learning (ML) simulation of GWs.

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Publication Details

Journal
Scientific Data
Published
2024-08-21
DOI
https://doi.org/10.1038/s41597-024-03699-x
Citations
5
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
1.66

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article

Gravity Wave Momentum Fluxes from 1 km Global ECMWF Integrated Forecast System

Valentine Anantharaj, Aman Gupta, Aditi Sheshadri
5 citations
Scientific Data
Ionosphere and magnetosphere dynamics
1.66
article

Gravity Wave Momentum Fluxes from 1 km Global ECMWF Integrated Forecast System

Valentine Anantharaj, Aman Gupta, Aditi Sheshadri
article en
5 citations

Abstract

Progress in understanding the impact of mesoscale variability, including gravity waves (GWs), on atmospheric circulation is often limited by the availability of global fine-resolution observations and simulated data. This study presents momentum fluxes due to atmospheric GWs extracted from four months of an experimental "nature run", integrated at a 1 km resolution (XNR1K) using the Integrated Forecast System (IFS) model. Helmholtz decomposition is used to compute zonal and meridional flux of vertical momentum from ~1.5 petabytes of data; quantities often emulated by climate model parameterization of GWs. The fluxes are validated using ERA5 reanalysis, both during the first week after initialization and over the boreal winter period from November 2018 to February 2019. The agreement between reanalysis and IFS demonstrates its capability to generate reliable flux distributions and capture mesoscale dynamic variability in the atmosphere. The dataset could be valuable in advancing our understanding of GW-planetary wave interactions, GW evolution around atmospheric extremes, and as high-quality training data for machine learning (ML) simulation of GWs.

Scientific DataVol. 11(1)
Oak Ridge National Laboratory (US), Stanford Medicine (US), Stanford University (US)
National Science Foundation, U.S. Department of Energy
Affordable and clean energy
Openalex Percentile: Top 17%
Ionosphere and magnetosphere dynamics
1.66
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Gravity Wave Momentum Fluxes from 1 km Global ECMWF Integrated Forecast System — Valentine Anantharaj, Aman Gupta, et al. · Scientific Data (2024) | TGRS Research Map | TGRS