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titleTable of Contents

Table of Contents
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Acronyms

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titleList of acronyms


Acronym

Description

tediv

Divergence of vertical integral of total energy flux 

tefle

Vertical integral of eastward total energy flux

tefln

Vertical integral of northward total energy flux

tetend 

Tendency of vertical integral of total energy

lhdiv

Divergence of vertical integral of latent heat flux

lhfle

Vertical integral of eastward latent heat flux

lhfln

Vertical integral of northward latent heat flux

lhtend

Tendency of vertical integral of latent heat

wvdiv

Divergence of vertical integral of water vapour flux

wvfle

Vertical integral of eastward water vapour flux

wvfln

Vertical integral of northward water vapour flux

wvtend

Tendency of vertical integral of water vapour

ReResidual of the dry air mass budget
TTemperature in Kelvin
TcTemperature in Celsius
qSpecific humidity
vHorizontal wind field vector
pSSurface pressure
PPrecipitation
EEvaporation
ΦGeopotential
kKinetic energy of air
LvLatent heat of vaporization
gGravitational acceleration (9.81 m s-2)
cpSpecific heat capacity of dry air at constant pressure (1004.70 J kg-1 K-1)
cvSpecific heat capacity of dry air at constant volume (717.65 J kg-1 K-1)
clSpecific heat of liquid water (4218.00 J kg-1 K-1)
cpvSpecific heat of water vapor at constant pressure (1846.10 J kg-1 K-1)


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This dataset provides monthly means of mass-consistent atmospheric energy and moisture budget terms derived from 1-hourly ERA5 reanalysis data using advanced numerical and diagnostic methods. Mass consistency is achieved by iteratively adjusting the wind field every time step. This dataset allows to evaluate atmospheric energy and moisture budget diagnostics for the period from 1979 onward. 

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Version

Release date

Changes from previous version

1.02022-XX05-XX31(first release)

Input Data

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Mayer, J., Mayer, M., Haimberger, L.,(2022): Atmospheric Mass-consistent atmospheric energy and moisture budget data from 1979 to present derived from ERA5 reanalysis, v1.0, Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on <DD31-MMM05-YYYY>2022), <location i.e. doi/url TBC> https://doi.org/10.24381/cds.c2451f6b.

Please refer to How to acknowledge and cite a Climate Data Store (CDS) catalogue entry and the data published as part of it for complete details.

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Mayer, M., Haimberger, L., Edwards, J. M., and Hyder, P. (2017). Toward consistent diagnostics of the coupled atmosphere and ocean energy budgets. Journal of Climate, 30(22), 9225-9246. https://doi.org/10.1175/JCLI-D-17-0137.1


Info
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This document has been produced in the context of the Copernicus Climate Change Service (C3S).

The activities leading to these results have been contracted by the European Centre for Medium-Range Weather Forecasts, operator of C3S on behalf of the European Union (Delegation agreement Agreement signed on 11/11/2014 and Contribution Agreement signed on 22/07/2021). All information in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose.

The users thereof use the information at their sole risk and liability. For the avoidance of all doubt , the European Commission and the European Centre for Medium - Range Weather Forecasts have no liability in respect of this document, which is merely representing the author's view.

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