In dynamic modeling of the greenhouse climate, prediction errors are a significant issue due to uncertainties in initial state values, input variables, model parameters and model structure, all propagating in time in a nonlinear way. We investigated a data assimilation approach using two non-linear Kalman filters in light of prediction uncertainty. An extended (EKF) and an unscented (UKF) Kalman filters were designed to estimate climate states, and also both the states and model parameters. The states to be estimated were air temperature, absolute humidity and carbon dioxide concentration inside a greenhouse. Year round measurements from a Dutch greenhouse with a rose crop were used. The dynamic model was first calibrated manually by estima...
Coastal management and maritime safety strongly rely on accurate representations of the sea state. B...
International audienceData assimilation techniques have received considerable attention due to their...
textabstractThe aim of the {sc eu project {sc riftoz is to analyse regional differences in troposphe...
The possibility of improving the accuracy of climate monitoring in greenhouse cultivation by way of...
We investigated the effect of model reduction and data assimilation on prediction accuracy of greenh...
Application of advanced controllers in horticultural practice requires detailed models. Even highly ...
This study is on the development of an extended Kalman filter used in conjunction with a nonlinear f...
During this thesis, we develop three methods to assess the error of a climate model by comparing it ...
This study explores the viability of parameter estimation in the comprehensive general circulation m...
Abstract: Much of the effort in data assimilation methods for carbon dynamics analysis has focused o...
This study explores the viability of parameter estimation in the comprehensive general circulation m...
In order to improve the soil temperature profile predictions in land-surface models, an assimilation...
Our limited ability to accurately simulate leaf phenology is a leading source of uncertainty in mode...
The magnitude and persistence of land carbon (C) pools influence long‐term climate feedbacks. Intera...
In 2013, the World Meteorological Organization (WMO) urged the global community for coordinated inte...
Coastal management and maritime safety strongly rely on accurate representations of the sea state. B...
International audienceData assimilation techniques have received considerable attention due to their...
textabstractThe aim of the {sc eu project {sc riftoz is to analyse regional differences in troposphe...
The possibility of improving the accuracy of climate monitoring in greenhouse cultivation by way of...
We investigated the effect of model reduction and data assimilation on prediction accuracy of greenh...
Application of advanced controllers in horticultural practice requires detailed models. Even highly ...
This study is on the development of an extended Kalman filter used in conjunction with a nonlinear f...
During this thesis, we develop three methods to assess the error of a climate model by comparing it ...
This study explores the viability of parameter estimation in the comprehensive general circulation m...
Abstract: Much of the effort in data assimilation methods for carbon dynamics analysis has focused o...
This study explores the viability of parameter estimation in the comprehensive general circulation m...
In order to improve the soil temperature profile predictions in land-surface models, an assimilation...
Our limited ability to accurately simulate leaf phenology is a leading source of uncertainty in mode...
The magnitude and persistence of land carbon (C) pools influence long‐term climate feedbacks. Intera...
In 2013, the World Meteorological Organization (WMO) urged the global community for coordinated inte...
Coastal management and maritime safety strongly rely on accurate representations of the sea state. B...
International audienceData assimilation techniques have received considerable attention due to their...
textabstractThe aim of the {sc eu project {sc riftoz is to analyse regional differences in troposphe...