title: A global distributed basin morphometric dataset.
abstract: Basin morphometry is vital information for relating storms to hydrologic hazards, such as landslides and floods. In this paper we present the first comprehensive global dataset of distributed basin morphometry at 30 arc seconds resolution. The dataset includes nine prime morphometric variables; in addition we present formulas for generating twenty-one additional morphometric variables based on combination of the prime variables. The dataset can aid different applications including studies of land-atmosphere interaction, and modelling of floods and droughts for sustainable water management. The validity of the dataset has been consolidated by successfully repeating the Hack's law.
authors.affiliation: Department of Civil &Environmental Engineering, University of Connecticut, Storrs, Connecticut 06269-3037, USA.
authors.forename: Xinyi
authors.initials: X
authors.lastname: Shen
authors.affiliation: Department of Civil &Environmental Engineering, University of Connecticut, Storrs, Connecticut 06269-3037, USA.
authors.forename: Emmanouil N
authors.initials: EN
authors.lastname: Anagnostou
authors.affiliation: Department of Civil &Environmental Engineering, University of Connecticut, Storrs, Connecticut 06269-3037, USA.
authors.forename: Yiwen
authors.identifier: http://orcid.org/0000-0002-3326-8287
authors.initials: Y
authors.lastname: Mei
authors.affiliation: Advanced Radar Research Center, National Weather Center, University of Oklahoma, Norman, Oklahoma 73072, USA.
authors.forename: Yang
authors.initials: Y
authors.lastname: Hong