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Ensemble Data Assimilation with the Parallel Data Assimilation Framework
, 2015 openaire +1 more source
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2015
This book contains two review articles on nonlinear data assimilation that deal with closely related topics but were written and can be read independently. Both contributions focus on so-called particle filters. The first contribution by Jan van Leeuwen focuses on the potential of proposal densities.
Van Leeuwen, Peter Jan +2 more
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This book contains two review articles on nonlinear data assimilation that deal with closely related topics but were written and can be read independently. Both contributions focus on so-called particle filters. The first contribution by Jan van Leeuwen focuses on the potential of proposal densities.
Van Leeuwen, Peter Jan +2 more
openaire +2 more sources
Sequential Data Assimilation Techniques for Data Assimilation
2020The time-variable terrestrial water storage (TWS) products from the Gravity Recovery And Climate Experiment (GRACE) have been increasingly used in recent years to improve the simulation of hydrological models by applying data assimilation techniques.
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Regional Ocean Data Assimilation
Annual Review of Marine Science, 2015This article reviews the past 15 years of developments in regional ocean data assimilation. A variety of scientific, management, and safety-related objectives motivate marine scientists to characterize many ocean environments, including coastal regions.
Edwards, Christopher A. +3 more
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2019
Data assimilation addresses the general problem of how to combine model-based predictions with partial and noisy observations of the process in an optimal manner. This survey focuses on sequential data assimilation techniques using probabilistic particle-based algorithms.
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Data assimilation addresses the general problem of how to combine model-based predictions with partial and noisy observations of the process in an optimal manner. This survey focuses on sequential data assimilation techniques using probabilistic particle-based algorithms.
openaire +2 more sources
Land Data Assimilation Systems
IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), 2002Soil moisture, temperature, and snow are integrated states, so errors in land surface forcing and parameterization accumulate in these stores, which leads to incorrect surface water and energy partitioning. However, many innovative new high-resolution land surface observations are becoming available that will provide the additional information ...
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