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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Coupling a Mesoscale Atmospheric Model with a Distributed Hydrological Model Applied to a Watershed in Southeast Brazil

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Kruk, Nadiane Smaha [1] ; Vendrame, Iria Fernandes [1] ; Chou, Sin Chan [2]
Total Authors: 3
[1] Inst Tecnol Aeronaut, Div Engn Civil, BR-12228900 Sao Jose Dos Campos, SP - Brazil
[2] Natl Inst Space Res, Ctr Weather Forecasts & Climate Studies, Cachoeira Paulista, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: JOURNAL OF HYDROLOGIC ENGINEERING; v. 18, n. 1, p. 58-65, JAN 2013.
Web of Science Citations: 3

Reliable hydrometeorological forecasts are necessary to help reduce damages caused by extreme events. Coupling atmospheric and hydrological models can help improve those forecasts; therefore, the main objective of this work is to propose, apply, and evaluate a one-way coupled system involving an atmospheric and a hydrological model. The models were applied to a watershed in the Serra do Mar region, Sao Paulo State, Brazil. Because of the complex terrain and native tropical forest (Mata Atlantica),hydrometeorological modeling in this region requires specific studies and adequate models. The coupling was carried out between the atmospheric regional Eta model and the distributed hydrology soil vegetation model. The primary challenge in coupling hydrological and atmospheric models is the large difference in spatial and temporal scales in which these models operate. This study proposes a downscaling methodology to increase the spatial resolution of precipitation and temperature predicted by the atmospheric model from 10 to 2 km. The coupling was tested in three precipitation events that accumulated large amounts of precipitation. The results show that the quality of the predicted streamflows depends primarily on the quality of the predicted precipitation that is input to the hydrological model. The downscaling methodology applied does not significantly influence quality of the simulated and predicted basin outflow. DOI: 10.1061/(ASCE)HE.1943-5584.0000606. (C) 2013 American Society of Civil Engineers. (AU)

FAPESP's process: 04/09649-0 - Predictability study of heavy rainfall events in the Serra do Mar
Grantee:Chou Sin Chan
Support Opportunities: Research Projects - Thematic Grants