@Article{HartantoKwAlAlSoAnSo:2017:DaAsSa,
author = "Hartanto, I. M. and Kwast, J. van der and Alexandrilis, T. K. and
Almeida, Waldenio Gambi de and Song, Y. and Andel, S. J. van and
Solomatine, D. P.",
affiliation = "{UNESCO-IHE Institute for Water Education} and {UNESCO-IHE
Institute for Water Education} and {Aristotle University of
Thessaloniki} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {UNESCO-IHE Institute for Water Education} and
{UNESCO-IHE Institute for Water Education} and {UNESCO-IHE
Institute for Water Education}",
title = "Data assimilation of satellite-based actual evapotranspiration in
a distributed hydrological model of a controlled water system",
journal = "International Journal of Applied Earth Observation and
Geoinformation",
year = "2017",
volume = "57",
pages = "123--135",
month = "May",
keywords = "Hydrology Data assimilation, Particle filter, Evapotranspiration
Controlled water system, Earth observation.",
abstract = "Advances in earth observation (EC) and spatially distributed
hydrological modelling provide an opportunity to improve modelling
of controlled water systems. In a controlled water system human
interference is high, which may lead to incorrect parameterisation
in the model calibration phase. This paper analyses whether
assimilation of EO actual evapotranspiration (ETa) data can
improve discharge simulation with a spatially distributed
hydrological model of a controlled water system. The EO ETa
estimates are in the form of eight-day ETa composite maps derived
from Terra/MODIS images using the ITA-MyWater algorithm. This
algorithm is based on the surface energy balance method and is
calibrated for this research for a low-lying reclamation area with
a heavily controlled water system: the Rijnland area in the
Netherlands. Data assimilation (DA) with the particle filter
method is applied to assimilate the ETa maps into a spatially
distributed hydrological model. The hydrological model and DA
framework are applied using the open source software SIMGRO and
PCRaster-Python respectively. The analysis is done for a period
between July and October 2013 in which a high discharge peak
followed a long dry-spell. The assimilation of EC ETa resulted in
local differences in modelled ETa compared to simulation without
data assimilation, while the area average ETa remained almost the
same. The modelled cumulative discharge graphs, with and without
DA, showed distinctive differences with the simulation, with DA
better matching the measured cumulative discharge. The bias of
simulated cumulative discharge to the observed data reduced from
14% to 4% when using DA of EO ETa. These results showed that
assimilating EO ETa may not only be effective in the more common
applications of soil moisture and crop-growth modelling, but also
for improving discharge modelling of controlled water systems.",
doi = "10.1016/jjag.2016.12.015",
url = "http://dx.doi.org/10.1016/jjag.2016.12.015",
issn = "0303-2434",
language = "en",
targetfile = "hartanto_data.pdf",
urlaccessdate = "26 abr. 2024"
}