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Revision 3a37a30d

Added by Benoit Parmentier almost 10 years ago

modifications, run 10 NEX accuracy assessment 1000x3000km

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climate/research/oregon/interpolation/global_run_scalingup_assessment_part1.R
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#Part 1 create summary tables and inputs for figure in part 2 and part 3.
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#AUTHOR: Benoit Parmentier 
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#CREATED ON: 03/23/2014  
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#MODIFIED ON: 02/09/2015            
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#MODIFIED ON: 02/10/2015            
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#Version: 4
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#PROJECT: Environmental Layers project  
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#TO DO:
......
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#First source these files:
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#source /nobackupp4/aguzman4/climateLayers/sharedModules/etc/environ.sh
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#MODULEPATH=$MODULEPATH:/nex/modules/files
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#module load /nex/modules/files/pythonkits/gdal_1.10.0_python_2.7.3_nex
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# MODULEPATH=$MODULEPATH:/nex/modules/files
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# module load /nex/modules/files/pythonkits/gdal_1.10.0_python_2.7.3_nex
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# These are the names and number for the current subset regions used for global runs:
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#reg1 - North America (NAM)
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#reg2 - Western Europe (WE)
......
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#reg1 (North Am), reg2(Europe),reg3(Asia), reg4 (South Am), reg5 (Africa), reg6 (Australia-Asia)
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#master directory containing the definition of tile size and tiles predicted
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#in_dir1 <- "/nobackupp6/aguzman4/climateLayers/output1000x3000_km/"
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in_dir1 <- "/nobackupp6/aguzman4/climateLayers/output1500x4500_km"
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in_dir1 <- "/nobackupp6/aguzman4/climateLayers/output1000x3000_km"
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region_names <- c("reg1","reg2","reg3","reg4","reg5","reg6") #selected region names
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region_names <- c("reg1","reg2","reg3b","reg4","reg5","reg6") #selected region names
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in_dir_list <- list.dirs(path=in_dir1,recursive=FALSE) #get the list regions processed for this run
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#basename(in_dir_list)
......
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y_var_name <- "dailyTmax"
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interpolation_method <- c("gam_CAI")
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out_prefix<-"run10_1500x4500_global_analyses_02092015"
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out_prefix<-"run10_1000x3000_global_analyses_02102015"
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#out_dir<-"/data/project/layers/commons/NEX_data/" #On NCEAS Atlas
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#out_dir <- "/nobackup/bparmen1/" #on NEX

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