Global Dominant River Tracing (DRT) based Hydrography Datasets for Macroscale Hydrological Modeling
Entry ID: DRT_Dataset_Description

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Summary
Abstract: We developed a hierarchical Dominant River Tracing (DRT) algorithm for automated extraction and spatial upscaling of basin flow directions and river networks using fine scale hydrography inputs (e.g. flow direction, river networks and flow accumulation). The DRT algorithms are based on the D8 single direction flow method. In contrast with previous upscaling methods, the DRT algorithms utilize ... View entire text

Purpose: The DRT algorithms were developed to upscale hydrogrpahy dataset suitable for a range of continental to global scale studies, including GCM and macroscale hydrological modeling. A detailed description of the DRT algorithms and resulting global hydrography products are available from Wu et al. (2011 & 2012). These products are considered suitable for a range of regional and global hydrological applications including, terrestrial water balance, runoff routing and river
discharge modeling within large river basins.
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Geographic Coverage
Spatial coordinates   
  N: 84.0   S: 56.0   E: 180.0   W: 180.0

Data Set Citation
Dataset Originator/Creator: Huan Wu and John Kimball
Other Citation Details: See Publications/References below
Data Resolution
Latitude Resolution: 2, 1, 1/2, 1/4, 1/8, 1/10, 1/12, 1/16 degree
Longitude Resolution: 2, 1, 1/2, 1/4, 1/8, 1/10, 1/12, 1/16 degree
Quality Because of the robust performance of the DRT upscaling algorithm, the quality of the baseline hydrography inputs essentially determines the accuracy of the DRT upscaled results. Improved baseline hydrography inputs enable greater accuracy in DRT upscaled river networks, which in turn would facilitate better accuracy in regional and macroscale hydrological model simulations that utilize these data. ... View entire text
Data Center
Earth System Science Interdisciplinary Center, University of Maryland Supplemental Info
Data Center URL: http://www.essic.umd.edu/

Data Center Personnel
Name: HUAN WU
Phone: 301-405-3395
Fax: 301-314-1876
Email: huanwu at umd.edu
Contact Address:
5825 University Court, Suite 4001
City: College Park
Province or State: MD
Postal Code: 20740-3823
Country: USA
Personnel
Role: DIF AUTHOR
Phone: 301-405-3395
Fax: 301-314-1876
Email: huanwu at umd.edu
Contact Address:
5825 University Court, Suite 4001
City: College Park
Province or State: MD
Postal Code: 20740-3823
Country: USA
Publications/References
Wu, H., J. S. Kimball, N. Mantua, and J. Stanford, 2011. Automated Upscaling of River Networks for Macroscale Hydrological Modeling. Water Resources Research, 47,
doi:10.1029/2009WR008871.

Wu H., J. S. Kimball, H. Li, M. Huang, L. R. Leung, R. F. Adler, 2012, A New Global River Network Database for Macroscale Hydrologic modeling, Water Resour. Res. (submitted).
Creation and Review Dates
DIF Creation Date: 2012-06-29
Last DIF Revision Date: 2012-07-05
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