Results 121 to 127 of about 20,933,641 (127)
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Data Assimilation for Streamflow Forecasting Using Extreme Learning Machines and Multilayer Perceptrons

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

Atmospheric Modeling, Data Assimilation and Predictability

, 2002
1. 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), 2020
Chaos 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 Assimilation

Statistical Methods for Climate Scientists, 2022
Alan O’Neill
semanticscholar   +1 more source

Data Learning: Integrating Data Assimilation and Machine Learning

Journal of Computer Science, 2021
Caterina Buizza   +13 more
semanticscholar   +1 more source

Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review

Climate Dynamics, 2020
Shaoqing Zhang   +12 more
semanticscholar   +1 more source

A review of data assimilation of remote sensing and crop models

, 2018
Xiuliang Jin   +6 more
semanticscholar   +1 more source

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