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Water Resources Research, 2020
Data assimilation allows for updating state variables in a model to represent the initial condition of a catchment more accurately than the initial OpenLoop simulation. In hydrology, data assimilation is often a prerequisite for forecasting. According to
Marie-Amélie Boucher+2 more
semanticscholar +1 more source
Data assimilation allows for updating state variables in a model to represent the initial condition of a catchment more accurately than the initial OpenLoop simulation. In hydrology, data assimilation is often a prerequisite for forecasting. According to
Marie-Amélie Boucher+2 more
semanticscholar +1 more source
Atmospheric Modeling, Data Assimilation and Predictability
, 20021. Historical overview 2. The continuous equations 3. Discretization of the equations 4. Introduction to the parameterizations of subgrid-scale physical processes 5. Data assimilation 6.
Eugenia Kalnay
semanticscholar +1 more source
Data Assimilation for Chaotic Dynamics
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV), 2020Chaos is ubiquitous in physical systems. The associated sensitivity to initial conditions is a significant obstacle in forecasting the weather and other geophysical fluid flows.
A. Carrassi+5 more
semanticscholar +1 more source
Data Learning: Integrating Data Assimilation and Machine Learning
Journal of Computer Science, 2021Caterina Buizza+13 more
semanticscholar +1 more source
Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review
Climate Dynamics, 2020Shaoqing Zhang+12 more
semanticscholar +1 more source
A review of data assimilation of remote sensing and crop models
, 2018Xiuliang Jin+6 more
semanticscholar +1 more source