Parameter estimation for energy balance models with memory
نویسندگان
چکیده
1UR 546 Biostatistique et Processus Spatiaux, INRA, 84000, Avignon, France 2Department of Atmospheric and Oceanic Sciences and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, CA 90095-1565, USA 3Université Aix-Marseille, LATP, 13397 Marseille, France 4Geosciences Department and Laboratoire de Météorologie Dynamique (CNRS and IPSL), Ecole Normale Supérieure, Paris, France
منابع مشابه
Parameter Estimation in Spatial Generalized Linear Mixed Models with Skew Gaussian Random Effects using Laplace Approximation
Spatial generalized linear mixed models are used commonly for modelling non-Gaussian discrete spatial responses. We present an algorithm for parameter estimation of the models using Laplace approximation of likelihood function. In these models, the spatial correlation structure of data is carried out by random effects or latent variables. In most spatial analysis, it is assumed that rando...
متن کاملApplication of artificial intelligence methods for estimation of maximum surface settlement caused by EPB shield tunneling
Maximum surface settlement (MSS) is an important parameter for the design and operation of earth pressure balance (EPB) shields that should determine before operate tunneling. Artificial intelligence (AI) methods are accepted as a technology that offers an alternative way to tackle highly complex problems that can’t be modeled in mathematics. They can learn from examples and they are able...
متن کاملParameter estimation of coupled water and energy balance models based on stationary constraints of surface states
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. The capability of the Neyman-Scott clustered stochastic point process model of rainfall to preserve various observe...
متن کاملTakagi-Sugeno model based Nonlinear Parameter Estimation in Air Handling Units ?
Abstract: Air Handling Units (AHU) are responsible for e ciently transferring the energy produced for heating or cooling to the occupant area in the building. This energy transfer dynamics is modeled as a bilinear system. Such a structure poses problems to develop observers either with asymptotically vanishing error or with guaranteed error bounds. Takagi-Sugeno based polytopic models allow mod...
متن کاملSelection of Appropriate Conversion Model for 137CS Method in Erosion and Sediment Studies In Loess Deposits in North-East of Iran
Soil erosion is one of the effective elements on soil destruction. Many empirical and theoretical models has been developed for soil erosion estimation 137 Cs technique is used as new and accurate method in this case across world. For applying this technique on computing erosion and sediment rate, an appropriate conversion model should be selected. For this propose in this study proportional, m...
متن کامل