A global distributed basin morphometric dataset

Xinyi Shen, Emmanouil N. Anagnostou, Yiwen Mei, Yang Hong
2017 Scientific Data  
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
more » ... d-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. OPEN
doi:10.1038/sdata.2016.124 pmid:28055032 pmcid:PMC5216664 fatcat:sorr235s65fmdcu3sczwdblukq