RECON - Cell-scale atmospheric moisture flows dataset reconciled with ERA5 reanalysis

The RECON dataset provides moisture flow volumes, in cubic meters, from evaporation sources to precipitation targets and vice versa. It offers global coverage at a resolution of 0.5° for an average year based on the period 2008–2017. It is a post-processed version of the Lagrangian (forward trajectory-based) tracking model UTrack dataset (DOI UTrack dataset: 10.1594/PANGAEA.912710, DOI Utrack support paper: 10.5194/essd-12-3177-2020), by means of Iterative Proportional Fitting procedure and ERA5 preprocessing.
Data are stored in integers that need to be transformed into cubic meters, as explained in the supplement material pdf file. 
More information on the generation of the dataset, authors of the dataset, input variable information and data extraction with simple python scripts are provided in our official GitHub repository.

We provide the following files:

• RECON_moisture_flows_0.5.nc.7z: is a compressed/packed version of the NetCDF4 RECON dataset. To get the NetCDF dataset file, follow the instructions in the supplement material pdf file
• ERA5_m_0.5_volumes_corrected.nc where m is the month: our own edited version of monthly averaged ERA5 data, that have been used to retrieve moisture volume flows from the Utrack dataset, as explained in our official GitHub repository
• RECON_ERA5_avgYear_0.5_volumes.nc: our own edited version of yearly averaged ERA5 data, that have been used to postprocess moisture volume flows retrieved from the UTrack dataset in order to get the RECON dataset, as explained in our official GitHub repository

By sharing these ERA5 files, we provide means for reproducibility of our postprocessing framework.