SPARC (Stratosphere–troposphere Processes And their Role in Climate) is an international activity started in 2013 (under the World Climate Research Programme, WCRP) to compare and evaluate all available global atmospheric reanalyses in the middle atmosphere; publish several journal papers and the WCRP/SPARC reports. This dataset collection provides zonal-mean diagnostics computed from reanalysis data sets on pressure levels. It is divided into two components. The first provides dynamical variables like temperature, geopotential height, and wind field and derived diagnostics such as eddy fluxes and a complete budget of zonal momentum. The second provides heating rates. In both components, data is provided on two grids. The first provides the diagnostics on the same grid on which reanalysis data was obtained. The second provides, using horizontal interpolation, the diagnostics on a common grid for all data sets. All diagnostics are provided as a function of latitude and pressure from 1958 to present, depending on each reanalysis' availability. This data set was produced to facilitate the comparison of reanalysis data sets for the collaborators of the SPARC-Reanalysis Intercomparison Project (S-RIP). The data set is substantially smaller in size compared to the full three-dimensional reanalysis fields and uses standardized numerical methods. The data set includes all global reanalyses available at the time of its development and will be extended to include new reanalysis products in the future.

This dataset contains zonal-mean atmospheric diagnostics computed from reanalysis datasets on pressure levels. Primary variables include temperature, geopotential height, and the three-dimensional wind field. Advanced diagnostics include zonal covariance terms that can be used to compute, for instance, eddy kinetic energy and eddy fluxes. Terms from the primitive zonal-mean momentum equation and the transformed Eulerian momentum equation are also provided. This dataset was produced to facilitate the comparison of reanalysis datasets for the collaborators of the SPARC- Reanalysis Intercomparison Project (S-RIP) project. 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.

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.