Tried using NMSEs and bigger box

Author: ptrscll

results/NMSE_big_box.txt

@@ -0,0 +1,39 @@
+parameters	values
+beta	1.196
+q10_rh	3.52
+diff	2
+
+Objective Function Value: 0.00157
+
+CO2 MSE: 296
+T MSE:   0.0588
+RMSE:    17.2
+
+***Key Metrics***
+TCRE: 1.47
+TCR:  1.82
+
+***Historical Warming and ERF***
+GSAT Warming:              0.507
+Ocean Heat Content Change: 331
+Total Aerosol ERF:         -1.24
+WMGHG ERF:                 3.23
+Methane ERF:               0.535
+
+***Future Warming***
+scenario	start	end	GSAT
+ssp119	2021	2040	0.631
+ssp119	2041	2060	0.719
+ssp119	2081	2100	0.566
+ssp126	2021	2040	0.646
+ssp126	2041	2060	0.894
+ssp126	2081	2100	0.863
+ssp245	2021	2040	0.652
+ssp245	2041	2060	1.1
+ssp245	2081	2100	1.65
+ssp370	2021	2040	0.662
+ssp370	2041	2060	1.23
+ssp370	2081	2100	2.61
+ssp585	2021	2040	0.784
+ssp585	2041	2060	1.57
+ssp585	2081	2100	3.47

results/nmse_box_comparison_plots.jpeg

@@ -22,7 +22,7 @@ TEMP_PATH <-
 INI_FILE <- system.file("input/hector_ssp245.ini", package = "hector")
 PARAMS <- c(BETA(), Q10_RH(), DIFFUSIVITY())
 
-OUTPUT <- file.path(RESULTS_DIR, "comparison_plots.jpeg")
+OUTPUT <- file.path(RESULTS_DIR, "nmse_box_comparison_plots.jpeg")
 
 
 source(file.path(SCRIPTS_DIR, "major_functions.R"))
@@ -52,7 +52,14 @@ nmse_data <- run_hector(ini_file = INI_FILE,
                         vars = c(GMST(), CONCENTRATIONS_CO2()))
 nmse_data$scenario <- "Hector - Fit to NMSEs"
 
-hector_data <- rbind(default_data, nmse_data)
+nmse_bigbox_data <- run_hector(ini_file = INI_FILE,
+                        params = PARAMS,
+                        vals = c(1.196, 3.52, 2),
+                        yrs = 1750:2014,
+                        vars = c(GMST(), CONCENTRATIONS_CO2()))
+nmse_bigbox_data$scenario <- "Hector - Fit to NMSEs, Big Box"
+
+hector_data <- rbind(default_data, nmse_data, nmse_bigbox_data)
 hector_data$lower <- hector_data$value
 hector_data$upper <- hector_data$value
 
@@ -62,7 +69,7 @@ ggplot(data = comb_data, aes(x = year, y = value, color = scenario)) +
   geom_ribbon(data = 
                filter(comb_data, scenario == "historical" & variable == GMST()),
               aes(ymin = lower, ymax = upper),
-              fill = 'aquamarine1',
+              fill = 'orchid1',
               color = NA) +
   geom_line() +
   facet_wrap(~ variable, scales = "free") +

scripts/graph_comparison_plots.R

@@ -22,7 +22,7 @@ TEMP_PATH <-
 INI_FILE <- system.file("input/hector_ssp245.ini", package = "hector")
 PARAMS <- c(BETA(), Q10_RH(), DIFFUSIVITY())
 
-OUTPUT <- file.path(RESULTS_DIR, "initial_norm_exp.txt")
+OUTPUT <- file.path(RESULTS_DIR, "NMSE_big_box.txt")
 
 
 source(file.path(SCRIPTS_DIR, "major_functions.R"))
@@ -36,8 +36,8 @@ obs_data <- rbind(co2_data, temp_data)
 best_pars <- run_optim(obs_data = obs_data,
                        ini_file = INI_FILE,
                        params = PARAMS,
-                       lower = c(0.5 - 0.232, 2.2 - 0.44, 2.3 - 0.1),
-                       upper = c(0.5 + 0.232, 2.2 + 0.44, 2.3 + 0.1),
+                       lower = c(0,               2.2 - 0.44 * 3, 2.3 - 0.1 * 3),
+                       upper = c(0.5 + 0.232 * 3, 2.2 + 0.44 * 3, 2.3 + 0.1 * 3),
                        yrs = 1750:2014,
                        vars = c(GMST(), CONCENTRATIONS_CO2()),
                        error_fn = mean_T_CO2_nmse,