Understanding the DayCent model: Calibration,sensitivity, and identifiability through inverse modeling |
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Affiliation: | 1. Department of Biological System Engineering, University of Wisconsin–Madison, Madison, WI, USA;2. United States Geological Survey, Wisconsin Water Science Center, Middleton, WI, USA;3. Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, USA;4. Dept. of Agronomy, Iowa State University, Ames, IA, USA |
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Abstract: | |
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Keywords: | DayCent model Inverse modeling PEST Sensitivity analysis Parameter identifiability Parameter correlations ANPP" },{" #name" :" keyword" ," $" :{" id" :" kwrd0015" }," $$" :[{" #name" :" text" ," _" :" aboveground net primary productivity ARS" },{" #name" :" keyword" ," $" :{" id" :" kwrd0025" }," $$" :[{" #name" :" text" ," _" :" Agricultural Research Service C" },{" #name" :" keyword" ," $" :{" id" :" kwrd0035" }," $$" :[{" #name" :" text" ," _" :" carbon CEC" },{" #name" :" keyword" ," $" :{" id" :" kwrd0045" }," $$" :[{" #name" :" text" ," _" :" cation-exchange capacity methane C/N ratio" },{" #name" :" keyword" ," $" :{" id" :" kwrd0065" }," $$" :[{" #name" :" text" ," _" :" carbon to nitrogen ratio d" },{" #name" :" keyword" ," $" :{" id" :" kwrd0075" }," $$" :[{" #name" :" text" ," _" :" index of agreement DEFAC" },{" #name" :" keyword" ," $" :{" id" :" kwrd0085" }," $$" :[{" #name" :" text" ," _" :" decomposition factor DNDC" },{" #name" :" keyword" ," $" :{" id" :" kwrd0095" }," $$" :[{" #name" :" text" ," _" :" denitrification decomposition model EPA" },{" #name" :" keyword" ," $" :{" id" :" kwrd0105" }," $$" :[{" #name" :" text" ," _" :" Environmental Protection Agency GHG" },{" #name" :" keyword" ," $" :{" id" :" kwrd0115" }," $$" :[{" #name" :" text" ," _" :" greenhouse gas GML" },{" #name" :" keyword" ," $" :{" id" :" kwrd0125" }," $$" :[{" #name" :" text" ," _" :" Gauss–Marquardt–Levenberg ammonium cation J" },{" #name" :" keyword" ," $" :{" id" :" kwrd0145" }," $$" :[{" #name" :" text" ," _" :" Jacobian matrix N" },{" #name" :" keyword" ," $" :{" id" :" kwrd0155" }," $$" :[{" #name" :" text" ," _" :" nitrogen nitrous oxide NPP" },{" #name" :" keyword" ," $" :{" id" :" kwrd0175" }," $$" :[{" #name" :" text" ," _" :" net primary productivity nitrate anion PEST" },{" #name" :" keyword" ," $" :{" id" :" kwrd0195" }," $$" :[{" #name" :" text" ," _" :" parameter estimation software MB" },{" #name" :" keyword" ," $" :{" id" :" kwrd0205" }," $$" :[{" #name" :" text" ," _" :" mean bias RMSE" },{" #name" :" keyword" ," $" :{" id" :" kwrd0215" }," $$" :[{" #name" :" text" ," _" :" root mean square error rRMSE" },{" #name" :" keyword" ," $" :{" id" :" kwrd0225" }," $$" :[{" #name" :" text" ," _" :" relative root mean square error SOC" },{" #name" :" keyword" ," $" :{" id" :" kwrd0235" }," $$" :[{" #name" :" text" ," _" :" soil organic carbon SOM" },{" #name" :" keyword" ," $" :{" id" :" kwrd0245" }," $$" :[{" #name" :" text" ," _" :" soil organic matter SVD" },{" #name" :" keyword" ," $" :{" id" :" kwrd0255" }," $$" :[{" #name" :" text" ," _" :" singular value decomposition SWSR" },{" #name" :" keyword" ," $" :{" id" :" kwrd0265" }," $$" :[{" #name" :" text" ," _" :" sum of weighted squared residuals VSWC" },{" #name" :" keyword" ," $" :{" id" :" kwrd0275" }," $$" :[{" #name" :" text" ," _" :" volumetric soil water content UAN" },{" #name" :" keyword" ," $" :{" id" :" kwrd0285" }," $$" :[{" #name" :" text" ," _" :" urea ammonium nitrate |
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