Data associated with: Retrospective land surface model simulations of Western Tropical South America
Year: 2021
Type: dataset
Abstract: Western Tropical South America (WTSA) is a climatically and hydrologically diverse region that is underserved by in situ meteorological and hydrological monitoring networks. In this context, retrospective simulations performed with advanced land surface models (LSMs) can provide a valuable complement to historical observation networks, providing consistent and physically-based estimates of land surface hydrologic states and fluxes. This data archive contains the output of simulations performed with the Noah MultiParameterization (Noah-MP) LSM and the Hydrological Modeling and Analysis Platform (HyMAP) for a region that encompasses WTSA from the Pacific Coast through the Western Amazon. The period covered by these simulations is January 2002 - September 2019, and the primary purpose of the dataset has been to develop an environmentally-informed Malaria Early Warning System (MEWS) for the region. In presenting these results in a public archive we aim to preserve and share the results of these simulations, which serve as a basis for several reports and publications on WTSA hydrology and climate. The archive is also intended to serve as a resource for organizations working in the region that might lack the computing capacity required to generate such computationally intensive simulations.
DOI: 10.7281/t1/yqdi0f
Institutions: Johns Hopkins University, Duke University
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: green
OpenAlex ID: W3152238170