Global sensitivity analysis measures the quality of parameter estimation: The case of soil parameters and a crop model
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[1] James W. Jones,et al. USING OPTIMIZATION TO ESTIMATE SOIL INPUTS OF CROP MODELS FOR USE IN SITE-SPECIFIC MANAGEMENT , 2000 .
[2] A. Saltelli,et al. A quantitative model-independent method for global sensitivity analysis of model output , 1999 .
[3] R. Houborg,et al. Mapping leaf chlorophyll and leaf area index using inverse and forward canopy reflectance modeling and SPOT reflectance data , 2008 .
[4] J. Paz,et al. Examples of strategies to analyze spatial and temporal yield variability using crop models , 2002 .
[5] C. Spearman. The proof and measurement of association between two things. By C. Spearman, 1904. , 1987, The American journal of psychology.
[6] Daniel Wallach,et al. Using a Bayesian approach to parameter estimation; comparison of the GLUE and MCMC methods , 2002 .
[7] Stefano Tarantola,et al. GLOBAL sensitivity analysis, GIS and multi‐criteria evaluation for a sustainable planning of a hazardous waste disposal site in Spain , 2006, Int. J. Geogr. Inf. Sci..
[8] A. Saltelli,et al. Sensitivity analysis of an environmental model: an application of different analysis methods , 1997 .
[9] M. Guérif,et al. Assimilating remote sensing data into a crop model to improve predictive performance for spatial applications , 2005 .
[10] A. Saltelli,et al. Sensitivity Anaysis as an Ingredient of Modeling , 2000 .
[11] Peter C. Young,et al. Uncertainty , sensitivity analysis and the role of data based mechanistic modeling in hydrology , 2006 .
[12] Cleo Kontoravdi,et al. Application of Global Sensitivity Analysis to Determine Goals for Design of Experiments: An Example Study on Antibody‐Producing Cell Cultures , 2008, Biotechnology progress.
[13] Ayse Irmak,et al. ESTIMATING SPATIALLY VARIABLE SOIL PROPERTIES FOR APPLICATION OF CROP MODELS IN PRECISION FARMING , 2001 .
[14] Eric Justes,et al. STICS: a generic model for simulating crops and their water and nitrogen balances. II. Model validation for wheat and maize , 2002 .
[15] Maria Rodriguez-Fernandez,et al. A hybrid approach for efficient and robust parameter estimation in biochemical pathways. , 2006, Bio Systems.
[16] Stefano Tarantola,et al. Sensitivity analysis in model calibration: GSA-GLUE approach , 2001 .
[17] Pierre Villon,et al. Methodology of adaptation of the STICS model to a new crop: spring linseed (Linum usitatissimum, L.) , 2004 .
[18] Simon Blackmore,et al. Remedial Correction of Yield Map Data , 2004, Precision Agriculture.
[19] Keith Beven,et al. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology , 2001 .
[20] Ghassan Chebbo,et al. Application of MCMC-GSA model calibration method to urban runoff quality modeling , 2006, Reliab. Eng. Syst. Saf..
[21] David Makowski,et al. Global sensitivity analysis for calculating the contribution of genetic parameters to the variance of crop model prediction , 2006, Reliab. Eng. Syst. Saf..
[22] Valentina Krysanova,et al. Parameter and input data uncertainty estimation for the assessment of long-term soil organic carbon dynamics , 2008, Environ. Model. Softw..
[23] F. J. Pierce,et al. ASPECTS OF PRECISION AGRICULTURE , 1999 .
[24] Stefano Tarantola,et al. Variance‐Based Methods , 2008 .
[25] D. Wallach,et al. Comparison of parameter estimation methods for crop models , 2004 .
[26] F. Baret,et al. Evaluation of Canopy Biophysical Variable Retrieval Performances from the Accumulation of Large Swath Satellite Data , 1999 .
[27] Benoit Gabrielle,et al. A priori parameterisation of the CERES soil-crop models and tests against several European data sets , 2002 .
[28] C. Walthall,et al. The use of a water budget model and yield maps to characterize water availability in a landscape , 2001 .
[29] Vassilios Chouliaras,et al. Root-reducing capacity, rhizosphere acidification, peroxidase and catalase activities and nutrient levels of Citrus taiwanica and C. Volkameriana seedlings, under Fe deprivation conditions , 2004 .
[30] R.E.E. Jongschaap,et al. Sensitivity of a crop growth simulation model to variation in LAI and canopy nitrogen used for run-time calibration , 2007 .
[31] James W. Jones,et al. USE OF GLOBAL SENSITIVITY ANALYSIS FOR CROPGRO COTTON MODEL DEVELOPMENT , 2007 .
[32] Alison S. Tomlin,et al. GUI-HDMR - A software tool for global sensitivity analysis of complex models , 2009, Environ. Model. Softw..
[33] R. Delécolle,et al. Sensitivity analysis of a crop simulation model, STICS, in order to choose the main parameters to be estimated , 2002 .
[34] James W. Jones,et al. Parameterizing Spatial Crop Models with Inverse Modeling: Sources of Error and Unexpected Results , 2006 .
[35] M. Guerif,et al. Ability for a model to predict crop production variability at the regional scale: an evaluation for sugar beet , 2003 .
[36] G. Richard,et al. Electrical resistivity survey in soil science: a review . , 2005 .
[37] P. Lagacherie,et al. Estimation of soil clay and calcium carbonate using laboratory, field and airborne hyperspectral measurements , 2008 .
[38] Stefano Tarantola,et al. Sensitivity Analysis as an Ingredient of Modeling , 2000 .
[39] Peter Reichert,et al. Practical identifiability of ASM2d parameters--systematic selection and tuning of parameter subsets. , 2002, Water research.
[40] Gemma Manache,et al. Identification of reliable regression- and correlation-based sensitivity measures for importance ranking of water-quality model parameters , 2008, Environ. Model. Softw..
[41] A. Saltelli,et al. An alternative way to compute Fourier amplitude sensitivity test (FAST) , 1998 .
[42] Eric Justes,et al. Evaluation of the ability of the crop model STICS to recommend nitrogen fertilisation rates according to agro-environmental criteria , 2004 .
[43] Keith Beven,et al. The future of distributed models: model calibration and uncertainty prediction. , 1992 .