TITLE:
TOPMODEL Hydrometeorological Modeling with Rain Gauge Data Integrated by High-Resolution Satellite Estimates. A Case Study in Muriaé River Basin, Brazil
AUTHORS:
Marcos Figueiredo Salviano, Augusto José Pereira Filho, Felipe Vemado
KEYWORDS:
Hydrologic Model, CMORPH, Statistical Objective Analysis Scheme (SOAS), TOPMODEL, Muriaé River
JOURNAL NAME:
Atmospheric and Climate Sciences,
Vol.11 No.3,
June
16,
2021
ABSTRACT: This
study consists of hydrological simulations of the Muriaé river watershed with
the topography-based hydrological model (TOPMODEL) and available stream gauge
and rain measurements between 2009 and 2013 for two subbasins, namely Carangola and Patrocínio do Muriaé. The simulations were carried out with the
Climate Prediction Center morphing method (CMORPH) precipitation estimates and
rain gauge measurements integrated into CM- ORPH by the Statistical Objective
Analysis Scheme (SOAS). TOPMODEL calibration was performed with the shuffled
complex evolution (SCE-UA) method with Nash-Sutcliffe efficiency (NSE). The
best overall results were obtained with CMORPH (NSE ~ 0.6) for both subbasins.
The simulations with SOAS resulted in an NSE ~ 0.2. However, in an analysis of days
with high- level stages, SOAS simulations resulted in a better hit rate (23%)
compared to CMORPH (10%). CMORPH simulations underestimated the flows at the
flood periods, which indicates the importance to use multi-sensor precipitation
data. The results with TOPMODEL allow an estimate of future discharges, which
allows for better planning of a flood warning system and discharge measurement
schedule.