AbstractSophisticated mathematical models simulating land surface interaction processes are increasingly employed today in performing various types of scientific investigations and analysis, providing important assistance to scientists in better understanding the complicated physical phenomena that occur in nature. Sensitivity analysis (SA) in particular, is generally regarded nowadays as a key step in verifying the concept and relevance to real world of any mathematical model, before that is used for carrying out any kind of operation or analysis for which it has been developed.The present work provides a comparative analysis of both Gaussian and Non-Gaussian process emulators for performing a global sensitivity analysis (GSA) to a land su...
A multicriteria algorithm, the MultiObjective Generalized Sensitivity Analysis (MOGSA), was used to ...
Mathematical models are utilized to approximate various highly complex engineering, physical, enviro...
While several statistical methods are available to analyse model sensitivity,their application to co...
AbstractSophisticated mathematical models simulating land surface interaction processes are increasi...
Sophisticated mathematical models simulating land surface interaction processes are increasingly emp...
The use of Earth Observation (EO) data combined with land surface process models is at present being...
Sensitivity analysis consists of an integral and important validatory check of a computer simulation...
Use of simulation process models, often combined with Earth Observation (EO) data, has played a key ...
In today’s changing climate, the development of robust, accurate and globally applicable models is i...
Being able to accurately estimate parameters characterising land surface interactions is currently a...
Sensitivity Analysis (SA) of the SimSphere Soil Vegetation Atmosphere Transfer (SVAT) model has been...
In today’s changing climate, the development of robust, accurate and globally applicable models is i...
Global sensitivity analysis (GSA) is a powerful approach in identifying which inputs or parameters m...
In view of increasing application of sensitivity assessment (SA) to environmental simulation models,...
We used sensitivity-analysis techniques to investigate the behaviour of the land-surface model UTOPI...
A multicriteria algorithm, the MultiObjective Generalized Sensitivity Analysis (MOGSA), was used to ...
Mathematical models are utilized to approximate various highly complex engineering, physical, enviro...
While several statistical methods are available to analyse model sensitivity,their application to co...
AbstractSophisticated mathematical models simulating land surface interaction processes are increasi...
Sophisticated mathematical models simulating land surface interaction processes are increasingly emp...
The use of Earth Observation (EO) data combined with land surface process models is at present being...
Sensitivity analysis consists of an integral and important validatory check of a computer simulation...
Use of simulation process models, often combined with Earth Observation (EO) data, has played a key ...
In today’s changing climate, the development of robust, accurate and globally applicable models is i...
Being able to accurately estimate parameters characterising land surface interactions is currently a...
Sensitivity Analysis (SA) of the SimSphere Soil Vegetation Atmosphere Transfer (SVAT) model has been...
In today’s changing climate, the development of robust, accurate and globally applicable models is i...
Global sensitivity analysis (GSA) is a powerful approach in identifying which inputs or parameters m...
In view of increasing application of sensitivity assessment (SA) to environmental simulation models,...
We used sensitivity-analysis techniques to investigate the behaviour of the land-surface model UTOPI...
A multicriteria algorithm, the MultiObjective Generalized Sensitivity Analysis (MOGSA), was used to ...
Mathematical models are utilized to approximate various highly complex engineering, physical, enviro...
While several statistical methods are available to analyse model sensitivity,their application to co...