This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 

Dataset

 

S-RIP: Zonal-mean heating rates of global atmospheric reanalyses on pressure levels

Latest Data Update: 2018-03-27
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2017-11-28
Download Stats: last 12 months
Dataset Size: 32.8K Files | 238GB

Abstract

This dataset contains zonal-mean model-generated and diagnosed heating rates as potential temperature tendencies on pressure levels. The model-generated heating rates consist of total heating rates due to parameterized physics along with heating rates due to long-wave and short-wave radiative transfer, as generated during the model forecast step. The diagnosed heating rates are calculated from the zonal-mean atmospheric diagnostics (Zonal-mean reanalyses on pressure levels dataset) according to the zonal-mean thermodynamic equation. All heating rates are provided 6-hourly on identical horizontal and vertical grids as the dynamical variables included in Zonal-mean reanalyses on pressure levels dataset. However, the time axis of this dataset lags that of Zonal-mean reanalyses on pressure levels dataset by three hours.

This dataset was produced to facilitate the comparison of reanalysis datasets for the collaborators of the SPARC- Reanalysis Intercomparison Project (S-RIP). The dataset is substantially smaller in size compared to the full three dimensional reanalysis fields and uses unified numerical methods. The dataset includes all global reanalyses available at the time of its development and will be extended to new reanalysis products in the future.

Citable as:  Wright, J. (2017): S-RIP: Zonal-mean heating rates of global atmospheric reanalyses on pressure levels. Centre for Environmental Data Analysis, date of citation. doi:10.5285/70146c789eda4296a3c3ab6706931d56. https://dx.doi.org/10.5285/70146c789eda4296a3c3ab6706931d56
Abbreviation: Not defined
Keywords: S-RIP, Zonal mean, Pressure levels, Momentum equation, Transformed Eulerian mean, E-P flux (Elliassen-Palm flux)

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Use of these data is covered by the following licence(s):
http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

The dataset was created for the SPARC- Reanalysis Intercomparison Project (S-RIP). Data has been archived at the Centre for Environmental Data Anaylsis (CEDA).

Data Quality:
Data is as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)
File Format:
Data are netCDF formatted

Citations: 2

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

Fujiwara, M., Martineau, P., Wright, J.S., Abalos, M., Šácha, P., Kawatani, Y., Davis, S.M., Birner, T. & Monge-Sanz, B.M. (2024) Climatology of the terms and variables of transformed Eulerian-mean (TEM) equations from multiple reanalyses: MERRA-2, JRA-55, ERA-Interim, and CFSR. Atmospheric Chemistry and Physics 24, 7873–7898. https://doi.org/10.5194/acp-24-7873-2024 https://doi.org/10.5194/acp-24-7873-2024
Martineau, P., Wright, J.S., Zhu, N. & Fujiwara, M. (2018) Zonal-mean data set of global atmospheric reanalyses on pressure levels. Earth System Science Data 10, 1925–1941. https://doi.org/10.5194/essd-10-1925-2018 https://doi.org/10.5194/essd-10-1925-2018

Process overview

This dataset was generated by the computation detailed below.
Title

S-RIP reanalysis

Abstract

Three dimensional atmospheric fields were first downloaded from reanalysis data centers. Then, zonal-mean diagnostics were computed onto two distinct grids. The first is the grid originally provided by each data center. The second is a common 2.5 by 2.5 degrees grid onto which each data set is interpolated using bilinear interpolation. All diagnostics are performed using the same numerical methods for each reanalysis data set.

Input Description

None

Output Description

None

Software Reference

None

  • units: K day-1
  • var_id: ttdiab
  • long_name: Heating rate due to all parameterized physics
  • units: K day-1
  • long_name: Heating rate due to longwave radiation
  • var_id: ttlwhr
  • units: K day-1
  • long_name: Heating rate due to shortwave radiation
  • var_id: ttswhr
  • units: K day-1
  • var_id: ttv_eddy
  • long_name: eddy meridional potential temperature advection (term 4)
  • units: K day-1
  • var_id: ttw_eddy
  • long_name: eddy vertical potential temperature advection (term 5)
  • units: K day-1
  • var_id: tt_diag
  • long_name: heating rate due to diabatic processes (diagnosed)
  • units: K day-1
  • var_id: ttv_mean
  • long_name: mean meridional potential temperature advection (term 2)
  • units: K day-1
  • var_id: ttw_mean
  • long_name: mean vertical potential temperature advection (term 3)
  • units: K day-1
  • var_id: tt_time
  • long_name: partial theta partial time (term 1)
  • units: hPa
  • standard_name: air_pressure
  • var_id: pressure
  • long_name: pressure
  • units: K day-1
  • var_id: tt_resid
  • long_name: residual term
  • var_id: time_bnds

Co-ordinate Variables

  • units: degrees_north
  • standard_name: latitude
  • var_id: latitude
  • long_name: latitude
  • units: degrees_east
  • standard_name: longitude
  • var_id: longitude
  • long_name: longitude
  • long_name: time
  • standard_name: time
  • var_id: time
Coverage
Temporal Range
Start time:
1958-01-01T00:00:00
End time:
2016-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°