Optimal ensemble size of ensemble Kalman filter in sequential soil moisture data assimilation
نویسندگان
چکیده
منابع مشابه
Grid Rainfall Disaggregation toward a Patch-based Ensemble Kalman Filter for Soil Moisture Data Assimilation
Data assimilation is the process by which observation data is used in model simulations and predictions. The Ensemble Kalman Filter (EnKF) is one such assimilation implementation, and efforts are underway to develop an EnKF to assimilate soil moisture data for use in the Land Data Assimilation Schemes (LDAS), developed in part at the Hydrological Sciences Branch at NASA’s Goddard Space Flight C...
متن کاملAn Ensemble Kalman Filter and Smoother for Satellite Data Assimilation
This paper proposes a methodology for combining satellite images with advection-diffusion models for interpolation and prediction of environmental processes. We propose a dynamic state-space model and an ensemble Kalman filter and smoothing algorithm for on-line and retrospective state estimation. Our approach addresses the high dimensionality, measurement bias, and nonlinearities inherent in s...
متن کاملSPE 109808 An Iterative Ensemble Kalman Filter for Data Assimilation
The ensemble Kalman filter (EnKF) is a subject of intensive investigation for use as a reservoir management tool. For strongly nonlinear problems, however, EnKF can fail to achieve an acceptable data match at certain times in the assimilation process. Here, we provide iterative EnKF procedures to remedy this deficiency and explore the validity of these iterative methods compared to standard EnK...
متن کاملHydrologic Data Assimilation with the Ensemble Kalman Filter
Soil moisture controls the partitioning of moisture and energy fluxes at the land surface and is a key variable in weather and climate prediction. The performance of the ensemble Kalman filter (EnKF) for soil moisture estimation is assessed by assimilating L-band (1.4 GHz) microwave radiobrightness observations into a land surface model. An optimal smoother (a dynamic variational method) is use...
متن کاملReservoir Multiscale Data Assimilation Using the Ensemble Kalman Filter
In this paper we propose a way to integrate data at different spatial scales using the ensemble Kalman filter (EnKF), such that the finest scale data is sequentially estimated, subject to the available data at the coarse scale (s), as an additional constraint. Relationship between various scales has been modeled via upscaling techniques. The proposed coarse-scale EnKF algorithm is recursive and...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geophysical Research Letters
سال: 2015
ISSN: 0094-8276,1944-8007
DOI: 10.1002/2015gl063366