Kristine L. Verdin 2017 Raster Digital Data Set Online (Digital Release) U.S. Geological Survey https://doi.org/10.5066/F7S180ZP Kristine L. Verdin 2017 Publication (Other) USGS Data Series 1053 Lakewood, CO U.S. Geological Survey, Colorado Water Science Center https://doi.org/10.3133/ds1053 This dataset contains the slope grid for the Asian continent from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The slope data were developed and distributed by processing units. There are 19 processing units for Asia. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. as_slope_3_2.zip contains the slope data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60º North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60º, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information. This dataset contains the slope grid for the Asian continent from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. This dataset is appropriate for use in continental-scale modeling effort. The Pfafstetter codes provide topological information that can be useful for upstream and downstream tracing. 2017 publication date Complete None planned -180.0 179.999861112 81.2894444444 -7.44499999995 None dem stream hydrologic derivatives pfafstetter Pfafstetter streams digital elevation models ISO 19115 Topic Category elevation inlandWaters USGS Metadata Identifier USGS:591f9324e4b0ac16dbdde246 Common geographic areas Asia None None. Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations. U.S. Geological Survey, Southwest Region Kristine L Verdin Hydrologist (GIS) mailing address

Mail Stop 415, W 6th Ave Kipling St

Lakewood CO 80225 303-236-6929 303-236-4912 kverdin@usgs.gov The HDMA database was developed by the U. S. Geological Survey in cooperation with NASA Goddard Space Flight Center. http://project-open-data.github.io/schema/#accessLevel public Standard Technical Controls Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.4.1 (Build 5686) Service Pack N/A (Build N/A) No formal attribute accuracy tests were conducted. No formal logical accuracy tests were conducted. Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details. A formal accuracy assessment of the horizontal positional information in the data set has not been conducted. A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable. Lehner, B., K. Verdin and A. Jarvis, 2008 20080101 Raster Digital Data Set Eos, Transactions American Geophysical Union Digital and/or Hardcopy Resources 20080101 publication date HydroSHEDS Lehner, B., K. Verdin and A. Jarvis, 2008, New Global Hydrological Data based on SRTM Elevation Derivatives, Eos, Transactions, American Geophysical Union, Vol 89, No. 10, pp. 93-94. Danielson, J.J., and Gesch, D.B. 20110101 Raster Digital Data Set Reston, VA USGS Digital and/or Hardcopy Resources 20110101 publication date GMTED2010 Danielson, J.J., and Gesch, D.B., 2011, Global multi-resolution terrain elevation data 2010 (GMTED2010): U.S. Geological Survey Open-File Report 2011–1073, 26 p. International Centre for Tropical Agriculture 20040101 Raster Digital Data Set http://srtm.csi.cgiar.org CGIAR http://srtm.csi.cgiar.org Digital and/or Hardcopy Resources 20040101 publication date SRTM International Centre for Tropical Agriculture (2004), Void-filled seamless SRTM data, Cali, Colombia. (Available at http://srtm.csi.cgiar.org) see detailed description of processes in USGS Data Series report "Hydrologic Derivatives for Modeling and Analysis: A New Global High-Resolution Database" 2017 Raster Grid Cell 34339 49307 1 0.000833333333333 0.000833333333333 Decimal seconds D_WGS_1984 WGS_1984 6378137.0 298.257223563 Attribute Table Table containing attribute information associated with the data set. Producer defined Value Slope (percent) * 100 Producer defined 0 943 percent * 100 The entity and attribute information provided here describes the tabular data associated with the data set. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the data set. The entity and attribute information was generated by the individual and/or agency identified as the originator of the data set. Please review the rest of the metadata record for additional details and information. U.S. Geological Survey GS ScienceBase mailing address

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Downloadable Data This database, identified as "Hydrologic Derivatives for Modeling and Analysis (HDMA)", has been approved for release by the U.S. Geological Survey (USGS). Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the database is released on condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from its authorized or unauthorized use. https://doi.org/10.5066/F7S180ZP 20260324 20210227 Kristine L Verdin U.S. Geological Survey, Southwest Region Hydrologist (GIS) mailing address

Mail Stop 415, W 6th Ave Kipling St

Lakewood CO 80225 303-236-6929 303-236-4912 kverdin@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time