PISCO_GR2M v2.0 - README ============================================================ DESCRIPTION ============================================================ PISCO_GR2M v2.0 is a national-scale hydrological dataset providing simulated monthly streamflow across Peru. The dataset was developed using: - PISCO gridded precipitation and temperature datasets - GR2M rainfall-runoff model - river routing model It provides continuous monthly discharge estimates for 11,913 river reaches (COMIDs), covering Peru and transboundary basins. ============================================================ DATA COMPONENTS ============================================================ 1) NetCDF file - PISCO_GR2M_v2.0.nc 2) River network (vector) - riv_pisco_GR2M_v2.0.gpkg 3) Catchments (vector) - cat_pisco_GR2M_v2.0.gpkg ============================================================ NETCDF DATA STRUCTURE ============================================================ Format: NetCDF (.nc) Temporal resolution: monthly Units: m3/s Variables: - comid Unique identifier of river reaches (COMID) - time Time dimension (days since 1970-01-01, UTC) - flow Simulated monthly streamflow (m3/s) Dimensions: [time x comid] Notes: - Flow values correspond to routed discharge using RAPID - Time is stored as UNIX time (seconds since 1970-01-01) ============================================================ SPATIAL DATA STRUCTURE ============================================================ All spatial data are provided in GeoPackage (.gpkg) format. ------------------------------------------------------------ 1) River Network (riv_pisco_GR2M_v2.0.gpkg) ------------------------------------------------------------ Geometry: Line (river reaches) Main attributes typically include: - COMID Unique river reach identifier (links with NetCDF) - Length / Length_km River reach length - Upstream / Downstream IDs Connectivity within the river network - Other hydraulic/topologic attributes may be included Purpose: - Defines the routing network used by RAPID - Enables visualization and mapping of streamflow ------------------------------------------------------------ 2) Catchments (cat_pisco_GR2M_v2.0.gpkg) ------------------------------------------------------------ Geometry: Polygon (subbasins) Main attributes typically include: - COMID Unique identifier matching the river reach outlet - Area / Area_km2 Catchment area - Other physiographic attributes (if included) Purpose: - Defines contributing areas for each river reach - Used for spatial aggregation and analysis ============================================================ LINK BETWEEN DATASETS ============================================================ The key linkage across all datasets is: COMID - NetCDF: identifies time series of streamflow - River network: spatial location of flow - Catchments: contributing drainage area ============================================================ ABBREVIATIONS ============================================================ PISCO : Peruvian Interpolated data of SENAMHI observations ARNOVIC : ARNO/VIC hydrological model implementation RAPID : Routing Application for Parallel Computation of Discharge COMID : Unique identifier for river reaches ============================================================ NOTES AND LIMITATIONS ============================================================ - Streamflow values are simulated, not direct observations - Model calibrated using 43 gauging stations (1981–2020) - Suitable for regional and national-scale applications - Local-scale use requires validation with observed data - Uncertainty may increase in small catchments or ungauged regions ============================================================ ADDITIONAL RESOURCES ============================================================ COMID finder: https://hllauca.github.io/PISCO_HyD_ARNOVIC_map/Identificar_COMID.html HydroShare resource: https://www.hydroshare.org/resource/f1b537f338f24533af5dab946b51d215/ ============================================================ AUTHOR ============================================================ Harold Llauca SENAMHI - Peru hllauca@senamhi.gob.pe ============================================================