From 52c971571da23e4097eafb11f011c4112d9c6616 Mon Sep 17 00:00:00 2001 From: Mengqi Zhao Date: Tue, 26 Jul 2022 15:43:07 -0700 Subject: [PATCH 1/3] Update Diagnostic to include monthly hdcd plot for all years compare to NOAA latest year --- R/diagnostics.R | 105 +++++++++++++++++++++++++++++++++++++++++------- 1 file changed, 91 insertions(+), 14 deletions(-) diff --git a/R/diagnostics.R b/R/diagnostics.R index 8023282..6cdac3d 100644 --- a/R/diagnostics.R +++ b/R/diagnostics.R @@ -49,6 +49,20 @@ diagnostics <- function(hdcd = tibble::tibble(), dplyr::mutate(heatcool = dplyr::if_else(value < 0, "heat","cool"), value = abs(value)) + hdcd_comb_year_range <- paste(min(unique(hdcd_comb_diagnostics$year)), + max(unique(hdcd_comb_diagnostics$year)), + sep = '-') + + filename_diagnostics <- + paste0(folder_diagnostics, "/", basename(gsub(".csv", "", filename)), "_", + hdcd_comb_year_range, name_append, '.csv') + + # save plot data for segment diagnostic + data.table::fwrite(x = hdcd_comb_diagnostics, + file = filename_diagnostics) + + print(paste0("Diagnostic table saved as ", filename_diagnostics)) + segment_levels = c("Jan_day","Jan_night","Feb_day","Feb_night", "Mar_day","Mar_night","Apr_day","Apr_night", "May_day","May_night","Jun_day","Jun_night", @@ -58,9 +72,11 @@ diagnostics <- function(hdcd = tibble::tibble(), # Individual Years for(year_i in (hdcd_comb_diagnostics$year) %>% unique()) { - ggplot2::ggplot(data = hdcd_comb_diagnostics %>% - dplyr::filter(year == year_i) %>% - dplyr::mutate(segment = factor(segment, levels = segment_levels))) + + data_plot <- hdcd_comb_diagnostics %>% + dplyr::filter(year == year_i) %>% + dplyr::mutate(segment = factor(segment, levels = segment_levels)) + + ggplot2::ggplot(data = data_plot) + ggplot2::aes(x = segment, y = value, group = heatcool) + ggplot2::geom_line(ggplot2::aes(color = heatcool)) + ggplot2::facet_wrap(subRegion ~ ., scales = "free_y") + @@ -73,19 +89,22 @@ diagnostics <- function(hdcd = tibble::tibble(), vjust = 0.5)) filename_diagnostics_i <- - paste0(folder_diagnostics, "/", basename(gsub(".csv", "", filename)), "_", year_i,name_append,".png") + paste0(folder_diagnostics, "/", basename(gsub(".csv", "", filename)), "_", year_i,name_append, '.png') - ggplot2::ggsave(filename = filename_diagnostics_i, + # save plot + ggplot2::ggsave(filename = filename_diagnostics_i, width = 25, - height = 15) # save plot + height = 15) print(paste0("Diagnostic figure saved as ", filename_diagnostics_i)) } # Combined years free scale if(T) { - ggplot2::ggplot(data = hdcd_comb_diagnostics %>% - dplyr::mutate(segment = factor(segment, levels = segment_levels))) + + data_plot <- hdcd_comb_diagnostics %>% + dplyr::mutate(segment = factor(segment, levels = segment_levels)) + + ggplot2::ggplot(data = data_plot) + ggplot2::aes(x = segment, y = value, group = interaction(year, heatcool), color = interaction(heatcool)) + @@ -102,19 +121,22 @@ diagnostics <- function(hdcd = tibble::tibble(), legend.position = 'right') filename_diagnostics_i <- - paste0(folder_diagnostics, "/", basename(gsub(".csv", "", filename)), "_allYears_freeScale",name_append,".png") + paste0(folder_diagnostics, "/", basename(gsub(".csv", "", filename)), "_allYears_freeScale", name_append, '.png') - ggplot2::ggsave(filename = filename_diagnostics_i, + # save plot + ggplot2::ggsave(filename = filename_diagnostics_i, width = 25, - height = 15) # save plot + height = 15) print(paste0("Diagnostic figure saved as ", filename_diagnostics_i)) } # Combined years fixed scale if(T) { - ggplot2::ggplot(data = hdcd_comb_diagnostics %>% - dplyr::mutate(segment = factor(segment, levels = segment_levels))) + + data_plot <- hdcd_comb_diagnostics %>% + dplyr::mutate(segment = factor(segment, levels = segment_levels)) + + ggplot2::ggplot(data = data_plot) + ggplot2::aes(x = segment, y = value, group = interaction(year, heatcool), color = interaction(heatcool)) + @@ -182,8 +204,18 @@ diagnostics <- function(hdcd = tibble::tibble(), current_years <- as.integer(unique(hdcd_monthly$year)) noaa_years <- as.integer(unique(helios::noaa_hddcdd$year)) + filename_monthly_diagnostics <- + paste0(folder_diagnostics, + "/monthly_ncdf_", min(current_years), '-', max(current_years), + "_noaa_", min(noaa_years), '-', max(noaa_years), name_append,".csv") + + # save plot data for monthly diagnostic + data.table::fwrite(x = hdcd_comb_monthly_diagnostics, + file = filename_monthly_diagnostics) + print(paste0("Diagnostic table saved as ", filename_monthly_diagnostics)) + # Individual Years - for(year_i in current_years) { + for(year_i in intersect(current_years, noaa_years)) { noaa_year_i <- noaa_years[which(abs(noaa_years - year_i) == min(abs(noaa_years - year_i)))] @@ -231,6 +263,51 @@ diagnostics <- function(hdcd = tibble::tibble(), print(paste0("Diagnostic figure saved as ", filename_monthly_diagnostics_i)) } + # All Years Together + noaa_year_latest <- noaa_years[length(noaa_years)] + + noaa_latest <- hdcd_comb_monthly_diagnostics %>% + dplyr::filter((year == noaa_year_latest & scenario == "noaa") & + (!subRegion %in% c('AK', 'HI'))) %>% + dplyr::rename(noaa = value) %>% + dplyr::select(subRegion, month, HDDCDD, noaa) + + hdcd_comb_monthly_diagnostics_all <- hdcd_comb_monthly_diagnostics %>% + dplyr::filter(scenario == "ncdf" & + (!subRegion %in% c('AK', 'HI'))) %>% + dplyr::left_join(noaa_latest, by = c('subRegion', 'month', 'HDDCDD')) %>% + dplyr::mutate(noaa = dplyr::if_else(is.na(noaa), 0, noaa)) %>% + dplyr::select(subRegion, scenario, year, month, HDDCDD, value, noaa) + + n_color <- length(unique(hdcd_comb_monthly_diagnostics_all$year)) + pal_hd <- colorRampPalette(RColorBrewer::brewer.pal(9, 'YlOrRd')) + pal_cd <- colorRampPalette(RColorBrewer::brewer.pal(9, 'YlGnBu')) + pal <- c(rev(pal_hd(n_color)), rev(pal_cd(n_color))) + + filename_monthly_diagnostics_all <- + paste0(folder_diagnostics, "/monthly_ncdf_AllYears", "_noaa_",noaa_year_latest, name_append,".png") + + ggplot2::ggplot(data = hdcd_comb_monthly_diagnostics_all) + + ggplot2::geom_line(ggplot2::aes(x = month, y = value, + group = interaction(scenario, year, HDDCDD), + color = interaction(year, HDDCDD))) + + ggplot2::geom_line(ggplot2::aes(x = month, y = noaa, group = HDDCDD), + color = 'black', size = 1.2, linetype = 'dashed') + + ggplot2::facet_wrap(subRegion ~ ., scales = "free_y") + + ggplot2::ggtitle(paste0("NCDF (all years) VS", " NOAA (", noaa_year_latest, ')')) + + ggplot2::ylab('Monthly Degree-Hours') + + ggplot2::scale_color_manual(values = pal, + guide = ggplot2::guide_legend(title = 'NCDF (All Years)')) + + ggplot2::scale_x_discrete(drop = FALSE) + + ggplot2::theme_bw() + + ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 90, + vjust = 0.5)) + + ggplot2::ggsave(filename = filename_monthly_diagnostics_all, + width = 25, + height = 15) + print(paste0("Diagnostic figure saved as ", filename_monthly_diagnostics_all)) + } #............... From 8c3fa441593987ee3f7334cd089f7cd1f3520bdb Mon Sep 17 00:00:00 2001 From: Mengqi Zhao Date: Tue, 26 Jul 2022 15:59:21 -0700 Subject: [PATCH 2/3] Update NOAA data WI, WV, WY are added to NOAA data. --- data/noaa_hddcdd.rda | Bin 30900 -> 31425 bytes inst/extras/noaa_hddcdd.RDS | Bin 57376 -> 59869 bytes inst/extras/saveDataFiles.R | 6 +++--- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/data/noaa_hddcdd.rda b/data/noaa_hddcdd.rda index e9706902d49e7e9ad9a692aef7df9c2abd06432f..8d97b203c54a464baf7cb92d95c6ea5546c8dbec 100644 GIT binary patch literal 31425 zcmb@tWl&sQ)Fq6&H15#26PzFc8h4jKaMz&0A-KD{ySux)yF0-N?wNkx`M#Q}`8~I* z;d0JCd#|cpC zK3woGwnw1yGeW^KMT|kX5C*oVnDP~dWT!Y;Y`72`_U}DxAAhTrk8?C@_TmC{W;CAo%4A@{JRkQsTQs!Zn05gqH%10yhC>;B4SpAh_ND zNVr;X5h+kAXdYmVz!gXUL*S2U2nPk;gb29o1(gCE5ct3;iTmJfW%BQL1Iy%~DCDH2 z4X~Nupiqo3<9n4sk>apa_l6isDGETU2P2rI0&IZs{kQHJv!1t2fCm(MDDW0RKm^qf z-WPO@z}Js<1FmWat}6vv1y~@kg5Ug5DE%n@VBr2Je&DqJ|8oxoK4A~41s?{(0>6kv 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zI*vkps&VCJ6{M%^nbR)))|JG481X#RaNt`N^HmDwRthlTQ-7*O71c{x>rwBFyM9E4?6HZF~tGie1aq3Y}0lpwbr(xrNHTD|~J$Uu^EMXju7z-=J8OapoKMb6q h-{l^4zS-Z}Pe1p4%0QVU;RHq~;x^cdymQ^6{{zHM2u1(^ diff --git a/inst/extras/saveDataFiles.R b/inst/extras/saveDataFiles.R index 02704fd..0b1e520 100644 --- a/inst/extras/saveDataFiles.R +++ b/inst/extras/saveDataFiles.R @@ -107,7 +107,7 @@ for (year_i in years){ } } } - tmp<-read.fwf(file = url_i, skip=15,nrows=48,widths = c(17, 6, 1000)) %>% + tmp<-read.fwf(file = url_i, skip=15,nrows=51,widths = c(17, 6, 1000)) %>% dplyr::mutate(stateName=gsub(" ","", V1, perl=T), value=V2)%>% left_join(stateCodes, by="stateName")%>% @@ -136,7 +136,7 @@ for (year_i in years){ } } } - tmp<-read.fwf(file = url_i, skip=15,nrows=48,widths = c(17, 6, 1000)) %>% + tmp<-read.fwf(file = url_i, skip=15,nrows=51,widths = c(17, 6, 1000)) %>% dplyr::mutate(stateName=gsub(" ","", V1, perl=T), value=V2)%>% left_join(stateCodes, by="stateName")%>% @@ -148,7 +148,7 @@ for (year_i in years){ } } -noaa_hddcdd <- tbl%>% + noaa_hddcdd <- tbl%>% left_join(monthCodes, by="month")%>% dplyr::mutate(monthCode=monthsShort)%>%dplyr::select(-monthsShort)%>% dplyr::mutate(monthCode=factor(monthCode,levels=monthsShort)) %>% From edd4ba6babd86114016174120b6e237a3aa88cf6 Mon Sep 17 00:00:00 2001 From: Mengqi Zhao Date: Thu, 4 Aug 2022 10:54:34 -0700 Subject: [PATCH 3/3] Update segment diagnostic figures Update to gradient color by year --- R/diagnostics.R | 66 ++++++++++++++++++++++++++----------------------- 1 file changed, 35 insertions(+), 31 deletions(-) diff --git a/R/diagnostics.R b/R/diagnostics.R index 6cdac3d..8bafc3e 100644 --- a/R/diagnostics.R +++ b/R/diagnostics.R @@ -99,65 +99,69 @@ diagnostics <- function(hdcd = tibble::tibble(), print(paste0("Diagnostic figure saved as ", filename_diagnostics_i)) } - # Combined years free scale - if(T) { + # combined years with color gradients with free scale + if(T){ data_plot <- hdcd_comb_diagnostics %>% dplyr::mutate(segment = factor(segment, levels = segment_levels)) + n_color <- length(unique(hdcd_comb_diagnostics$year)) + pal_hd <- colorRampPalette(RColorBrewer::brewer.pal(9, 'YlOrRd')) + pal_cd <- colorRampPalette(RColorBrewer::brewer.pal(9, 'YlGnBu')) + pal <- c(rev(pal_hd(n_color)), rev(pal_cd(n_color))) + + filename_diagnostics_i <- + paste0(folder_diagnostics, "/", basename(gsub(".csv", "", filename)), "_allYears_gradient_freeScale_", name_append,".png") + ggplot2::ggplot(data = data_plot) + - ggplot2::aes(x = segment, y = value, - group = interaction(year, heatcool), - color = interaction(heatcool)) + - ggplot2::geom_line() + + ggplot2::geom_line(ggplot2::aes(x = segment, y = value, + group = interaction(year, heatcool), + color = interaction(year, heatcool))) + ggplot2::facet_wrap(subRegion ~ ., scales = "free_y") + ggplot2::ggtitle(paste0("HDCD WRF to GCAM ")) + - ggplot2::scale_color_manual(values = c("heat" = "firebrick", - "cool" = "dodgerblue")) + + ggplot2::ylab('Degree-Hours') + + ggplot2::scale_color_manual(values = pal, + guide = ggplot2::guide_legend(title = 'HDCD (All Years)')) + ggplot2::scale_x_discrete(drop = FALSE) + - ggplot2::guides(color = ggplot2::guide_legend(title = 'heatcool')) + ggplot2::theme_bw() + ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 90, - vjust = 0.5), - legend.position = 'right') - - filename_diagnostics_i <- - paste0(folder_diagnostics, "/", basename(gsub(".csv", "", filename)), "_allYears_freeScale", name_append, '.png') + vjust = 0.5)) - # save plot ggplot2::ggsave(filename = filename_diagnostics_i, width = 25, height = 15) - print(paste0("Diagnostic figure saved as ", filename_diagnostics_i)) } - # Combined years fixed scale - if(T) { + # combined years with color gradients with fixed scale + if(T){ data_plot <- hdcd_comb_diagnostics %>% dplyr::mutate(segment = factor(segment, levels = segment_levels)) + n_color <- length(unique(hdcd_comb_diagnostics$year)) + pal_hd <- colorRampPalette(RColorBrewer::brewer.pal(9, 'YlOrRd')) + pal_cd <- colorRampPalette(RColorBrewer::brewer.pal(9, 'YlGnBu')) + pal <- c(rev(pal_hd(n_color)), rev(pal_cd(n_color))) + + filename_diagnostics_i <- + paste0(folder_diagnostics, "/", basename(gsub(".csv", "", filename)), "_allYears_gradient_fixedScale_", name_append,".png") + ggplot2::ggplot(data = data_plot) + - ggplot2::aes(x = segment, y = value, - group = interaction(year, heatcool), - color = interaction(heatcool)) + - ggplot2::geom_line() + + ggplot2::geom_line(ggplot2::aes(x = segment, y = value, + group = interaction(year, heatcool), + color = interaction(year, heatcool))) + ggplot2::facet_wrap(subRegion ~ ., scales = "fixed") + ggplot2::ggtitle(paste0("HDCD WRF to GCAM ")) + - ggplot2::scale_color_manual(values = c("heat" = "firebrick", "cool" = - "dodgerblue")) + + ggplot2::ylab('Degree-Hours') + + ggplot2::scale_color_manual(values = pal, + guide = ggplot2::guide_legend(title = 'HDCD (All Years)')) + ggplot2::scale_x_discrete(drop = FALSE) + - ggplot2::guides(color = ggplot2::guide_legend(title = 'heatcool')) + ggplot2::theme_bw() + ggplot2::theme(axis.text.x = ggplot2::element_text(angle = 90, vjust = 0.5)) - filename_diagnostics_i <- - paste0(folder_diagnostics, "/", basename(gsub(".csv", "", filename)), "_allYears_fixedScale",name_append,".png") - - ggplot2::ggsave(filename = filename_diagnostics_i, + ggplot2::ggsave(filename = filename_diagnostics_i, width = 25, - height = 15) # save plot - + height = 15) print(paste0("Diagnostic figure saved as ", filename_diagnostics_i)) }