@Article{CastroCCVCONKOC:2018:AmBaAp,
author = "Castro, Aline Anderson de and Cuartas, Luz Adriana and Coe,
Michael T. and Von Randow, Celso and Castanho, Andrea and Ovando,
Alex and Nobre, Antonio Donato and Koumrouyan, Adriana and
Oliveira, Gilvan Sampaio de and Costa, Marcos Heil",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Centro
Nacional de Monitoramento e Alertas de Desastres Naturais
(CEMADEN)} and {Woods Hole Research Center} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Woods Hole Research
Center} and {Centro Nacional de Monitoramento e Alertas de
Desastres Naturais (CEMADEN} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Federal de Vi{\c{c}}osa (UFV)}",
title = "Coupling the terrestrial hydrology model with biogeochemistry to
the integrated LAND surface model: Amazon Basin applications",
journal = "Hydrological Sciences Journal",
year = "2018",
volume = "63",
number = "13/14",
pages = "1954--1966",
keywords = "water balance, hydrological modelling, dynamic vegetation model,
Amazon, flood dynamics, photosynthesis.",
abstract = "We coupled the hydrologic routing and flood dynamics model
Terrestrial Hydrology Model with Biogeochemistry (THMB) to the
Integrated LAND Surface Model (INLAND) and compared simulations of
the discharge and flood extent area against gauge station and
satellite-based information in the Amazon Basin. The coupled model
represents well the seasonality of the flooding and discharge, but
underestimates both of them. This can be related to an already
discussed underestimate of the precipitation in the east of the
Andes Mountains. A photosynthesis limitation on the flooded area
was also included, showing changes in plant productivity and
reduction in vegetation carbon stocks. Despite its limitations,
the model proves to be a valuable tool for studies of the
hydrological cycle and flood dynamics response to climate change
projections, allowing it to be used to represent the feedbacks
between continental surface water cycle and vegetation.",
doi = "10.1080/02626667.2018.1538592",
url = "http://dx.doi.org/10.1080/02626667.2018.1538592",
issn = "0262-6667",
language = "en",
targetfile = "castro_coupling.pdf",
urlaccessdate = "04 maio 2024"
}