A global dynamic runoff application and dataset based on the assimilation of GPM, SMAP, and GCN250 curve number datasets.

ABSTRACT: Runoff modelling is a crucial element in hydrologic sciences. However, a global runoff database is not currently available at a resolution higher than 0.1°. We use the recently developed Global Curve Number dataset (GCN250) to develop a dynamic runoff application (2015 - present) and that can be accessed via a Google Earth Engine application. We also provide a global mean monthly runoff dataset for April 2015-2021 in GeoTIFF format at a 250-meter resolution. We utilize soil moisture and GPM rainfall to dynamically retrieve the appropriate curve number and generate the corresponding runoff anywhere on Earth. Mean annual global runoff ratio results for 2021 were comparable to the runoff ratio from the Global Land Data Assimilation System (0.079 vs. 0.077, respectively). Mean annual global ru

SUBMITTER: Sujud LH 

PROVIDER: S-EPMC9669002 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature