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 Maximum and minimum daily temperatures (°C) from ERA5 and ERA5-Land Total precipitation (mm/day) from ERA5, ERA5-Land, IMERG v06, GPCP v3.2 and MSWEP Different kind of evaporation (mm/day) corresponded to each variable calculated in GLEAM model 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_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.

{"references": ["Hersbach, H, Bell, B, Berrisford, P, et al. The ERA5 global reanalysis. Q J R Meteorol Soc. 2020; 146: 1999\u2013 2049. https://doi.org/10.1002/qj.3803", "Mu\u00f1oz-Sabater, J., Dutra, E., Agust\u00ed-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., Martens, B., Miralles, D. G., Piles, M., Rodr\u00edguez-Fern\u00e1ndez, N. J., Zsoter, E., Buontempo, C., and Th\u00e9paut, J.-N.: ERA5-Land: a state-of-the-art global reanalysis dataset for land applications, Earth Syst. Sci. Data, 13, 4349\u20134383, https://doi.org/10.5194/essd-13-4349-2021, 2021", "Huffman, G.J., E.F. Stocker, D.T. Bolvin, E.J. Nelkin, Jackson Tan (2019), GPM IMERG Final Precipitation L3 1 day 0.1 degree x 0.1 degree V06, Edited by Andrey Savtchenko, Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: [31.03.2023], 10.5067/GPM/IMERGDF/DAY/06", "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", "Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fern\u00e1ndez-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903\u20131925, doi: 10.5194/gmd-10-1903-2017, 2017", "Beck, H. E., Wood, E. F., Pan, M., Fisher, C. K., Miralles, D. M., van Dijk, A. I. J. M., McVicar, T. R., and Adler, R. F. MSWEP V2 global 3\u2011hourly 0.1\u00b0 precipitation: methodology and quantitative assessment Bulletin of the American Meteorological Society 100(3), 473\u2013500, 2019", "Miralles, D.G., Holmes, T.R.H., de Jeu, R.A.M., Gash, J.H., Meesters, A.G.C.A., Dolman, A.J.: Global land-surface evaporation estimated from satellite-based observations, Hydrology and Earth System Sciences, 15, 453\u2013469, doi: 10.5194/hess-15-453-2011, 2011", "Linke, S., Lehner, B., Ouellet Dallaire, C., Ariwi, J., Grill, G., Anand, M., Beames, P., Burchard-Levine, V., Maxwell, S., Moidu, H., Tan, F., Thieme, M. (2019). Global hydro-environmental sub-basin and river reach characteristics at high spatial resolution. Scientific Data 6: 283. https://doi.org/10.1038/s41597-019-0300-6", "Yamazaki D., D. Ikeshima, J. Sosa, P.D. Bates, G.H. Allen, T.M. Pavelsky MERIT Hydro: A high-resolution global hydrography map based on latest topography datasets Water Resources Research, vol.55, pp.5053-5073, 2019, doi: 10.1029/2019WR024873", "Abramov, D. Towards the unified approach for obtaining hydro- meteorological and landscape characteristics for river catchments / D. Abramov, G. Ayzel, O. Nikitin // CEUR Workshop Proceedings : 6, Khabarovsk, 14\u201316 September of 2021 \u2013 Khabarovsk, 2021. \u2013 P. 106-111. \u2013 EDN QIHKYF."]}

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