Hydro-basins provide hydrographic data layers that allow for the derivation of watershed boundaries for any given location based on the near-global, high-resolution SRTM digital elevation model. Watersheds were delineated in a consistent manner at different scales, and a hierarchical sub-basin breakdown was created following the topological concept of the Pfafstetter coding system (Verdin & Verdin 1999). The resulting polygon layers are termed HydroBASINS and represent a subset of the HydroSHEDS database. There are 12 levels. Level 6 represents major river systems from headwaters to coast. This version is sourced from FAO.
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This nc file contains F-IDF values at streamflow gage sites over the CONUS.
The header of this netcdf file is shown below:
netcdf flashiness_dataset { dimensions: stnid = 6987 ; duration = 6 ; frequency = 6 ; variables: double flashiness(stnid, duration, frequency) ; flashiness:description = "It is calculated with the slope of a given time window (cfs/15min*len(window)), divided by the drainage area (sqkm) and convert to a standardized unit" ; flashiness:units = "mm/h^2" ; flashiness:_FillValue = NaN ; area (sqkm)" ; string stnid(stnid) ; int64 frequency(frequency) ; int64 duration(duration) ; double lon(stnid) ; lon:_FillValue = NaN ; double lat(stnid) ; lat:_FillValue = NaN ; double area(stnid) ; area:_FillValue = NaN ; area:units = "sqkm" ; double data_length(stnid) ; data_length:_FillValue = NaN ; data_length:units = "years" ; data_length:description = "years of available data from USGS 15-min observation" ; double dor_pc_pva(stnid) ; dor_pc_pva:_FillValue = NaN ; dor_pc_pva:units = "percent" ; dor_pc_pva:long_name = "degree of regulation" ; dor_pc_pva:description = "degree of regulation retrieved from hydrobasin V10 level 12" ; double slp_dg_uav(stnid) ; slp_dg_uav:_FillValue = NaN ; slp_dg_uav:units = "degree" ; slp_dg_uav:long_name = "Terrain slope" ; slp_dg_uav:description = "Terrain slope of total watershed upstream of a pour point" ; double sgr_dk_sav(stnid) ; sgr_dk_sav:_FillValue = NaN ; sgr_dk_sav:units = "degree" ; sgr_dk_sav:long_name = "Stream gradient" ; sgr_dk_sav:description = "the stream gradient was calculated as the ratio between the elevation drop within the river reach (i.e. the difference between min. and max. elevation along the reach) and the length of the reach." ; double tmp_dc_uyr(stnid) ; tmp_dc_uyr:_FillValue = NaN ; tmp_dc_uyr:units = "degree celsius" ; tmp_dc_uyr:long_name = "Annual mean air temperature" ; tmp_dc_uyr:description = "Annual mean air temperature retrieved from WorldClim, station-based monitoring network" ; double pre_mm_uyr(stnid) ; pre_mm_uyr:_FillValue = NaN ; pre_mm_uyr:units = "mm" ; pre_mm_uyr:long_name = "Annual mean precipitation" ; pre_mm_uyr:description = "Annual mean precipitation retrieved from WorldClim, station-based monitoring network and interpolated by the thin-plate smoothing spline algorithm" ; double pet_mm_uyr(stnid) ; pet_mm_uyr:_FillValue = NaN ; pet_mm_uyr:units = "mm" ; pet_mm_uyr:long_name = "Annual mean potential evaporation" ; pet_mm_uyr:description = "Annual mean PET based on termperature inputs from WorldClim and a simple temperature-based transfer model" ; double aet_mm_uyr(stnid) ; aet_mm_uyr:_FillValue = NaN ; aet_mm_uyr:units = "mm" ; aet_mm_uyr:long_name = "Annual mean actural evaporation" ; aet_mm_uyr:description = "Annual mean AET based on the Global High-Resolution Soil-Water Balance dataset which contains gridded estimates of actual evapotranspiration and soil water deficit" ; double ari_ix_uav(stnid) ; ari_ix_uav:_FillValue = NaN ; ari_ix_uav:units = "" ; ari_ix_uav:long_name = "Global aridity index" ; ari_ix_uav:description = "The Global Aridity Index (Global-Aridity) is modeled using data from WorldClim as input parameters" ; double cmi_ix_uyr(stnid) ; cmi_ix_uyr:_FillValue = NaN ; cmi_ix_uyr:units = "" ; cmi_ix_uyr:long_name = "Global climate moisture index" ; cmi_ix_uyr:description = "The Climate Moisture Index (CMI) was derived from the annual precipitation (P) and potential evapotranspiration (PET) datasets as provided by the WorldClim v1.4" ; double snw_pc_uyr(stnid) ; snw_pc_uyr:_FillValue = NaN ; snw_pc_uyr:units = "%" ; snw_pc_uyr:long_name = "snow cover extent" ; snw_pc_uyr:description = "data obtained from The MODIS/Aqua Snow Cover Daily L3 Global 500m Grid (MYD10A1)" ; double cly_pc_uav(stnid) ; cly_pc_uav:_FillValue = NaN ; cly_pc_uav:units = "%" ; cly_pc_uav:long_name = "clay fraction in soils" ; cly_pc_uav:description = "Data obtained from SoilGrids1km" ; double slt_pc_uav(stnid) ; slt_pc_uav:_FillValue = NaN ; slt_pc_uav:units = "%" ; slt_pc_uav:long_name = "silt fraction in soils" ; slt_pc_uav:description = "Data obtained from SoilGrids1km" ; double snd_pc_uav(stnid) ; snd_pc_uav:_FillValue = NaN ; snd_pc_uav:units = "%" ; snd_pc_uav:long_name = "sand fraction in soils" ; snd_pc_uav:description = "Data obtained from SoilGrids1km" ; double swc_pc_uyr(stnid) ; swc_pc_uyr:_FillValue = NaN ; swc_pc_uyr:units = "%" ; swc_pc_uyr:long_name = "Soil water content" ; swc_pc_uyr:description = "Soil water content is provided as part of the Global High-Resolution Soil-Water Balance dataset which contains gridded estimates of actual evapotranspiration and soil water deficit" ; double kar_pc_use(stnid) ; kar_pc_use:_FillValue = NaN ; kar_pc_use:units = "%" ; kar_pc_use:long_name = "Karst area extent" ; kar_pc_use:description = "The World Map of Carbonate Rock Outcrops represents an upper limit of the area of exposed karst terrain." ; double ero_kh_uav(stnid) ; ero_kh_uav:_FillValue = NaN ; ero_kh_uav:units = "kg/hectare per year" ; ero_kh_uav:long_name = "Soil erosion" ; string ero_kh_uav:description = "GloSEM erosion estimates were produced with a high resolution (250 × 250 m) global potential soil erosion model, using a combination of remote sensing, GIS modelling and census data" ; double pop_ct_usu(stnid) ; pop_ct_usu:_FillValue = NaN ; pop_ct_usu:units = "count" ; pop_ct_usu:long_name = "Population count" ; pop_ct_usu:description = "The Gridded Population of the World (GPW) database." ; double urb_pc_use(stnid) ; urb_pc_use:_FillValue = NaN ; urb_pc_use:units = "%" ; urb_pc_use:long_name = "Urban extent" ; urb_pc_use:description = "The Global Human Settlement (GHS) framework produces global spatial information about the human presence on the planet over time" ; double rdd_mk_uav(stnid) ; rdd_mk_uav:_FillValue = NaN ; rdd_mk_uav:units = "meters per km^2" ; rdd_mk_uav:long_name = "Road density" ; rdd_mk_uav:description = "The Global Roads Inventory Project (GRIP) dataset" ; double dis_m3_pyr(stnid) ; dis_m3_pyr:_FillValue = NaN ; dis_m3_pyr:units = "cms" ; dis_m3_pyr:long_name = "Natural discharge" ; dis_m3_pyr:description = "Simulated discharge by WaterGAP" ; double run_mm_syr(stnid) ; run_mm_syr:_FillValue = NaN ; run_mm_syr:units = "mm" ; run_mm_syr:long_name = "Land surface runoff" ; run_mm_syr:description = "Simulated land surface runoff by WaterGAP" ; double inu_pc_umx(stnid) ; inu_pc_umx:_FillValue = NaN ; inu_pc_umx:units = "%" ; inu_pc_umx:long_name = "Annual maximum inundation extent " ; inu_pc_umx:description = "GIEMS-D15 is a high-resolution global inundation map at a pixel size of 15 arc-seconds" ; double ria_ha_usu(stnid) ; ria_ha_usu:_FillValue = NaN ; ria_ha_usu:units = "hectares" ; ria_ha_usu:long_name = "River area" ; ria_ha_usu:description = "River area was calculated using the the HydroSHEDS database at 15 arc-second resolution. It is based on a rating curve" ; double riv_tc_usu(stnid) ; riv_tc_usu:_FillValue = NaN ; riv_tc_usu:units = "1000 m^3" ; riv_tc_usu:long_name = "River volume" ; riv_tc_usu:description = "River volume was calculated using the the HydroSHEDS database at 15 arc-second resolution." ; double gwt_cm_sav(stnid) ; gwt_cm_sav:_FillValue = NaN ; gwt_cm_sav:units = "cm" ; gwt_cm_sav:long_name = "Groundwater table depth" ; gwt_cm_sav:description = "Fan et al. (2013) compiled global observations of water table depth from government archives and literature" ; double ele_mt_uav(stnid) ; ele_mt_uav:_FillValue = NaN ; ele_mt_uav:units = "m" ; ele_mt_uav:long_name = "Elevation" ; ele_mt_uav:description = "Elevation above mean sea level based on EarthEnv-DEM90" ; double glc_pc_u01(stnid) ; glc_pc_u01:_FillValue = NaN ; glc_pc_u01:units = "%" ; glc_pc_u01:long_name = "Land cover area extent" ; glc_pc_u01:description = "Land Cover extent for the drainage system. Data from GLC2000 Global Land Cover in year 2000" ; double glc_pc_u02(stnid) ; glc_pc_u02:_FillValue = NaN ; glc_pc_u02:units = "%" ; glc_pc_u02:long_name = "Land cover area extent" ; glc_pc_u02:description = "Land Cover extent for the drainage system. Data from GLC2000 Global Land Cover in year 2000" ; double glc_pc_u03(stnid) ; glc_pc_u03:_FillValue = NaN ; glc_pc_u03:units = "%" ; glc_pc_u03:long_name = "Land cover area extent" ; glc_pc_u03:description = "Land Cover extent for the drainage system. Data from GLC2000 Global Land Cover in year 2000" ; double glc_pc_u04(stnid) ; glc_pc_u04:_FillValue = NaN ; glc_pc_u04:units = "%" ; glc_pc_u04:long_name = "Land cover area extent" ; glc_pc_u04:description = "Land Cover extent for the drainage system. Data from GLC2000 Global Land Cover in year 2000" ;
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Hydro-basins provide hydrographic data layers that allow for the derivation of watershed boundaries for any given location based on the near-global, high-resolution SRTM digital elevation model. Watersheds were delineated in a consistent manner at different scales, and a hierarchical sub-basin breakdown was created following the topological concept of the Pfafstetter coding system (Verdin & Verdin 1999). The resulting polygon layers are termed HydroBASINS and represent a subset of the HydroSHEDS database. There are 12 levels. Level 6 represents major river systems from headwaters to coast. This version is sourced from FAO.