Published October 11, 2023 | Version 1.3
Dataset Open

Hydro-meteorological database for watersheds across the CIS

  • 1. State Hydrological Institute, Skoltech
  • 2. State Hydrological Institute

Contributors

Data manager:

Project leader:

  • 1. State Hydrological Institute, Skoltech
  • 2. State Hydrological Institute
  • 3. Moscow Institute of Physics and Technology
  • 4. Moscow State University

Description

The presented database is a set of hydrological, meteorological, environmental and geometric values for Russia Federation for the period from 2008 to 2020.

Database consist of next items:

  • Point geometry for hydrological observation stations from Roshydromet network across Russia
  • Geometry of the catchment for correspond observation station point
  • Daily hydrological values
    • Water level
      • In relative representation (sm)
      • In meters of Baltic system (m)
    • Water discharge
      • as an observed value (qms/s)
      • as a layer (mm/day)
  • Daily meteorological values
  • Set of hydro-environmental characteristics derived from HydroATLAS database

Each variable derived from the grid data was calculated for each watershed, taking into account the intersection weights of the watershed contour geometry and grid cells.

Coordinates of hydrological stations were obtained from resource of Federal Agency for Water Resources of Russia Federation—AIS GMVO

To calculate the contours of the catchment areas, a script was developed that builds the contours in accordance with the rasters of flow directions from MERIT Hydro. To assess the quality of the contour construction, the obtained value of the catchment area was compared with the archival value from the corresponded table from AIS GMVO. The average error in determining the area for 2080 catchments is approximately 2%

To derive values for different hydro-environmental values from HydroATLAS were developed approach which calculate aggregated values for catchment, leaning on type of variable: qualitative (Land cover classes, Lithological classes etc.) Or quantitive (Air temperature, Snow cover extent etc.). Every quantitive variable were calculated as mode value for intersected sub-basins and target catchment, e.g. most popular attribute from sub-basins will describe whole catchment which are they relating. Quantitative values were calculated as mean value of attribute from each sub-basin. More detail could be found in publication.

Files are distributed as follows:

Each file has some connection with the unique identifier of the hydrological observation post. Files in netcdf format (hydrological and meteorological series) are named in response to identifier.

Every file which describe geometry (point, polygon, static attributes) has and column named gauge_id with same correspondence.

  • attributes/static_data.csv – results from HydroATLAS aggregation
  • geometry/russia_gauges.gpkg – coordinates of hydrological observation stations
    •   gauge_id name_ru name_en geometry
      0 49001 р. Ковда – пос. Софпорог r.Kovda - pos. Sofporog POINT (31.41892 65.79876)
      1 49014 р. Корпи-Йоки – пос. Пяозерский r.Korpi-Joki - pos. Pjaozerskij POINT (31.05794 65.77917)
      2 49017 р. Тумча – пос. Алакуртти r.Tumcha - pos. Alakurtti POINT (30.33082 66.95957)
  • geometry/russia_ws.gpkg – catchments polygon for each hydrological observation stations             
    •   gauge_id name_ru name_en new_area ais_dif geometry
      0 9002 р. Енисей – г. Кызыл r.Enisej - g.Kyzyl 115263.989 0.230 POLYGON ((96.87792 53.72792, 96.87792 53.72708...
      1 9022 р. Енисей – пос. Никитино r.Enisej - pos. Nikitino 184499.118 1.373 POLYGON ((96.87792 53.72708, 96.88042 53.72708...
      2 9053 р. Енисей – пос. Базаиха r.Enisej - pos.Bazaiha 302690.417 0.897 POLYGON ((92.38292 56.11042, 92.38292 56.10958...
    • Column ais_diff is corresponded to % error in area definition
  • nc_all_q
    • netcdf files for hydrological observation stations which has no missing values on discharge for 2008-2020 period
  • nc_all_h
    • netcdf files for hydrological observation stations which has no missing values on level for 2008-2020 period
  • nc_all_q_h
    • netcdf files for hydrological observation stations which has no missing values on discharge and level for 2008-2020 period
  • nc_concat
    • data for all available geometry provided in dataset

More details on processing scripts which were used for development of this database can be found in folder of GitHub repository where I store results for my PhD dissertation

05.04.2023 – Significant data changes. Removed catchments and related files that have more than ±15% absolute error in calculated area relative to AIS GMVO information. Now these are data for 1886 catchments across the Russia.

 

17.05.2023 – Significant data changes. Major review of parsing algorithm for AIS GMVO data. Fixed the way of how 0.0xx values were read. Use previous versions with caution.

11.10.2023 – Significant data changes. Added 278 catchments for CIS region from GRDC resource. Calculate meteorological and environmental attributes for each catchment. New folder /nc_all_q_h with no missing observations on discharge and level. Now these are data for 2164 catchments across CIS.

Notes

If any questions arise, you can contact me by mail dmbrmv96@gmail.com

Files

Russia_HydroMeteo_Database_v04.zip

Files (3.5 GB)

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md5:8d536a7b76d8fdd6004e321db03f4220
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Additional details

References

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  • Huffman, G.J., A. Behrangi, D.T. Bolvin, E.J. Nelkin (2022), GPCP Version 3.2 Daily Precipitation Data Set, Edited by Huffman, G.J., A. Behrangi, D.T. Bolvin, E.J. Nelkin, Greenbelt, Maryland, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: [31.03.2023], 10.5067/MEASURES/GPCP/DATA305
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  • https://www.bafg.de/SharedDocs/ExterneLinks/GRDC/grdc_portal_url.html