Data assimilation of satellite-based actual evapotranspiration in a distributed hydrological model of a controlled water system

Hartanto, Isnaeni Murdi; Kwast, Johannes van der; Alexandridis, Thomas; Almeida, Waldenio; Song, Yang; Andel, Schalk Jan van; Solomatine, Dimitri

doi:10.1016/j.jag.2016.12.015

Cited by 31 publications

(18 citation statements)

References 44 publications

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“…Besides the rule-based insertion method, the ensemble-based data assimilation method can also be used to deal with the correlated model errors. For example, Hartanto et al [48] assimilated satellite-based actual evapotranspiration in a distributed hydrological model to improve the streamflow predictions based on a particle filter data assimilation framework; the hydrological states from the model runs (particles) that simulate actual ET close to the remotely sensed actual ET map are then chosen as initial conditions for the next simulation. Based on a hydrological model which expresses ET as state variables, Zou et al [49] assimilate ET into Distributed Time Variant Gain Model (DTVGM) using ensemble Kalman filter (EnKF) to obtain more accurate soil moisture and streamflow.…”

Section: Synthetic Experimentsmentioning

confidence: 99%

“…Besides the rule-based insertion method, the ensemble-based data assimilation method can also be used to deal with the correlated model errors. For example, Hartanto et al [48] assimilated satellite-based actual evapotranspiration in a distributed hydrological model to improve the streamflow predictions based Figure 9 plots daily streamflow observations at the Yingluoxia station and predictions obtained from GSWAT, GSWAT with ET assimilated (GSWATET), calibrated SWAT (SWAT), calibrated GSWAT (GSWATCALI) and calibrated GSWAT with ET assimilated (GSWATCALIET). The Figure 8.…”

Section: Synthetic Experimentsmentioning

confidence: 99%

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Development of an Evapotranspiration Data Assimilation Technique for Streamflow Estimates: A Case Study in a Semi-Arid Region

Zhang

Hou

et al. 2017

Sustainability

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Streamflow estimates are substantially important as fresh water shortages increase in arid and semi-arid regions where evapotranspiration (ET) is a significant contribution to the water balance. In this regard, evapotranspiration data can be assimilated into a distributed hydrological model (SWAT, Soil and Water Assessment Tool) for improving streamflow estimates. The SWAT model has been widely used for streamflow estimations, but the applications combining SWAT and ET products were rare. Thus, this study aims to develop a SWAT-based evapotranspiration data assimilation system. In particular, SWAT is gridded at Hydrologic Response Unit (HRU) level to incorporate gridded ET products acquired from the remote sensing-based ETMonitor model. In the modeling case, Gridded SWAT (GSWAT) shows a good agreement of streamflow modeling with the original SWAT. Such a scant margin between them is due to the modeling domain mismatch caused by different HRU delineations. In the ET assimilation case, we carry out a synthetic data experiment to illustrate the state augmentation Direct Insertion (DI) method and a real data experiment for the upper Heihe River Basin. The results demonstrate the benefits of the ET assimilation for improving hydrologic processes representations. In the future, more remotely sensed data can be assimilated into the data assimilation system to provide more reliable hydrological predictions.

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Section: Synthetic Experimentsmentioning

confidence: 99%

“…Besides the rule-based insertion method, the ensemble-based data assimilation method can also be used to deal with the correlated model errors. For example, Hartanto et al [48] assimilated satellite-based actual evapotranspiration in a distributed hydrological model to improve the streamflow predictions based Figure 9 plots daily streamflow observations at the Yingluoxia station and predictions obtained from GSWAT, GSWAT with ET assimilated (GSWATET), calibrated SWAT (SWAT), calibrated GSWAT (GSWATCALI) and calibrated GSWAT with ET assimilated (GSWATCALIET). The Figure 8.…”

Section: Synthetic Experimentsmentioning

confidence: 99%

Development of an Evapotranspiration Data Assimilation Technique for Streamflow Estimates: A Case Study in a Semi-Arid Region

Zhang

Hou

et al. 2017

Sustainability

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“…It handles the propagation of non-Gaussian distributions through nonlinear models, unlike EnKF restrictively assumes the error distributions are normal [11,12]. Thus, the PF has been successfully applied to estimate state variables or parameters in nonlinear LSMs [13][14][15]. However, the general PF continues to suffer from some serious problems.…”

Section: Introductionmentioning

confidence: 99%

Immune Evolution Particle Filter for Soil Moisture Data Assimilation

Sun

2019

Water

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Data assimilation (DA) has been widely used in land surface models (LSM) to improve model state estimates. Among various DA methods, the particle filter (PF) with Markov chain Monte Carlo (MCMC) has become increasingly popular for estimating the states of the nonlinear and non-Gaussian LSMs. However, the standard PF always suffers from the particle impoverishment problem, characterized by loss of particle diversity. To solve this problem, an immune evolution particle filter with MCMC simulation inspired by the biological immune system, entitled IEPFM, is proposed for DA in this paper. The merit of this approach is in imitating the antibody diversity preservation mechanism to further improve particle diversity, thus increasing the accuracy of estimates. Furthermore, the immune memory function refers to promise particle evolution process towards optimal estimates. Effectiveness of the proposed approach is demonstrated by the numerical simulation experiment using a highly nonlinear atmospheric model. Finally, IEPFM is applied to a soil moisture (SM) assimilation experiment, which assimilates in situ observations into the Variable Infiltration Capacity (VIC) model to estimate SM in the MaQu network region of the Tibetan Plateau. Both synthetic and real case experiments demonstrate that IEPFM mitigates particle impoverishment and provides more accurate assimilation results compared with other popular DA algorithms.

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“…-Those using simple empirical relationships relating daily evapotranspiration to an instantaneous surface temperature measurement (Trezza, 2006); -Those using deterministic relationships based on more complex models such as Soil-Vegetation-Atmosphere Transfer models (SVAT) (Olioso et al, 1999;Galleguillos et al, 2017;Hartanto et al, 2017). They are mainly used for estimating evapotranspiration, surface energy exchanges and water balance.…”

Section: Introductionmentioning

confidence: 99%

Evapotranspiration and Surface Energy Fluxes Estimation Using the Landsat-7 Enhanced Thematic Mapper Plus Image over a Semiarid Agrosystem in the North-West of Algeria

Nehal

Hamimed

Khaldi

et al. 2017

Rev. bras. meteorol.

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Monitoring evapotranspiration and surface energy fluxes over a range of spatial and temporal scales is crucial for many agroenvironmental applications. Different remote sensing based energy balance models have been developed, to estimate evapotranspiration at both field and regional scales. In this contribution, METRIC (Mapping EvapoTranspiration at high Resolution with Internalized Calibration), has been applied for the estimation of actual evapotranspiration in the Ghriss plain in Mascara (western Algeria), a semiarid region with heterogeneous surface conditions. Four images acquired during 2001 and 2002 by the Landsat-7 satellite were used. The METRIC model followed an energy balance approach, where evapotranspiration is estimated as the residual term when net radiation, sensible and soil heat fluxes are known. Different moisture indicators derived from the evapotranspiration were then calculated: reference evapotranspiration fraction, Priestley-Taylor parameter and surface resistance to evaporation. The evaluation of evapotranspiration and surface energy fluxes are accurate enough for the spatial variations of evapotranspiration rather satisfactory than sophisticated models without having to introduce an important number of parameters in input with difficult accessibility in routine. In conclusion, the results suggest that METRIC can be considered as an operational approach to predict actual evapotranspiration from agricultural areas having limited amount of ground information. Keywords: evapotranspiration, remote sensing, METRIC, energy balance, Landsat. Estimativa da Evapotranspiração e Fluxos de Energia de Superfície Usando a Imagem Landsat-7 Enhanced Thematic Mapper Plus em um AgrosistemaAemi-árido no Noroeste da Argélia ResumoO monitoramento dos fluxos de energia e da evapotranspiração em diferentes escalas espaciais e temporais é crucial para muitas aplicações agroambientais. Diferentes modelos baseados no sensoriamento remoto têm sido desenvolvidos para estimativa da evapotranspiração tanto em escala local como em largas escalas. Neste contexto, o METRIC (Mapping EvapoTranspiration at high Resolution with Internalized Calibration) tem sido aplicado para a estimative da evapotranspiração em "Ghriss plain" em Mascara, uma região semiárida no noroeste da Argélia com condições e superfícies heterogêneas. Quatro imagens adquiridas durante 2001 a 2002 com o sensor Landsat-7 ETM+ foram usadas. O modelo METRIC computa o balanço de energia onde a evapotranspiração é estimada como resíduo quando o saldo de radiação e os fluxos de calor sensível e no solo são conhecidos. Diferentes indicadores de umidade derivados da evapotranspiração foram então calculados: a fração da evapotranspiração de referência, o parâmetro Priestley-Taylor e a resistência da superfície à evapotranspiração. As avaliações da evapotranspiração e dos fluxos de energia foram suficientemente precisas para detecção das variações espaciais da evapotranspiração, sendo mais satisfatórias que aquelas provenientes de modelos sofisticados sem...

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Data assimilation of satellite-based actual evapotranspiration in a distributed hydrological model of a controlled water system

Cited by 31 publications

References 44 publications

Development of an Evapotranspiration Data Assimilation Technique for Streamflow Estimates: A Case Study in a Semi-Arid Region

Development of an Evapotranspiration Data Assimilation Technique for Streamflow Estimates: A Case Study in a Semi-Arid Region

Immune Evolution Particle Filter for Soil Moisture Data Assimilation

Evapotranspiration and Surface Energy Fluxes Estimation Using the Landsat-7 Enhanced Thematic Mapper Plus Image over a Semiarid Agrosystem in the North-West of Algeria

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