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Xiaoyu Gao, Shanhong Gao and Yue Yang
The data assimilation method to improve the sea fog forecast over the Yellow Sea is usually three-dimensional variational assimilation (3DVAR), whereas ensemble Kalman filter (EnKF) has not yet been applied to this weather phenomenon. In this paper, two ...
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Khaled Mohammed, Robert Leconte and Mélanie Trudel
Soil moisture modeling is necessary for many hydrometeorological and agricultural applications. One of the ways in which the modeling of soil moisture (SM) can be improved is by assimilating SM observations to update the model states. Remotely sensed SM ...
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Ganchang He, Yaning Chen, Gonghuan Fang and Zhi Li
The stationarity test and systematic prediction of hydrometeorological parameters are becoming increasingly important in water resources management. Based on the Ensemble Kalman Filter (EnKF) and wavelet analysis, this study selects precipitation, evapor...
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Brian A. Colle, Malcolm J. Bowman, Keith J. Roberts, M. Hamish Bowman, Charles N. Flagg, Jian Kuang, Yonghui Weng, Erin B. Munsell and Fuqing Zhang
This paper describes storm surge simulations made for Sandy (2012) for the Metropolitan New York (NYC) area using the Advanced Circulation (ADCIRC) model forced by the Weather Research and Forecasting (WRF) model. The atmospheric forecast uncertainty was...
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Navid Jadidoleslam, Ricardo Mantilla and Witold F. Krajewski
The authors examine the impact of assimilating satellite-based soil moisture estimates on real-time streamflow predictions made by the distributed hydrologic model HLM. They use SMAP (Soil Moisture Active Passive) and SMOS (Soil Moisture Ocean Salinity) ...
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Miao Dai, Yaan Li and Kunde Yang
This paper develops a joint approach for time-evolving sound speed field (SSF) inversion and moving source localization in shallow water environment. The SSF is parameterized in terms of the first three empirical orthogonal function (EOF) coefficients. T...
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Morten Borup, Henrik Madsen, Morten Grum and Peter Steen Mikkelsen
To prevent online models diverging from reality they need to be updated to current conditions using observations and data assimilation techniques. A way of doing this for distributed hydrodynamic urban drainage models is to use the Ensemble Kalman Filter...
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Kristi R. Arsenault and Paul R. Houser
Snow depletion curves (SDC) are functions that are used to show the relationship between snow covered area and snow depth or water equivalent. Previous snow cover data assimilation (DA) studies have used theoretical SDC models as observation operators to...
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Elias D. Nino-Ruiz
In this paper, a matrix-free posterior ensemble Kalman filter implementation based on a modified Cholesky decomposition is proposed. The method works as follows: the precision matrix of the background error distribution is estimated based on a modified C...
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Liang Xue
With the development of in-situ monitoring techniques, the ensemble Kalman filter (EnKF) has become a popular data assimilation method due to its capability to jointly update model parameters and state variables in a sequential way, and to assess the unc...
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Emilio Sánchez-León, Carsten Leven, Daniel Erdal and Olaf A. Cirpka
Pumping and tracer tests are site-investigation techniques frequently used to determine hydraulic conductivity. Tomographic test layouts, in which multiple tests with different combinations of injection and observation wells are performed, gain a better ...
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Amir Javaheri, Mohammad Nabatian, Ehsan Omranian, Meghna Babbar-Sebens and Seong Jin Noh
This study proposes a framework that (i) uses data assimilation as a post processing technique to increase the accuracy of water depth prediction, (ii) updates streamflow generated by the National Water Model (NWM), and (iii) proposes a scope for updatin...
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Shanshan Meng, Xianhong Xie, Xiao Yu
Pág. 1 - 16
Watershed characteristics such as patterns of land use and land cover (LULC), soil structure and river systems, have substantially changed due to natural and anthropogenic factors. To adapt hydrological models to the changing characteristics of watershe...
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Haksu Lee, Haojing Shen and Dong-Jun Seo
This paper presents a comparative geometric analysis of the conditional bias (CB)-informed Kalman filter (KF) with the Kalman filter (KF) in the Euclidean space. The CB-informed KFs considered include the CB-penalized KF (CBPKF) and its ensemble extensio...
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