diff --git a/R/get_thresholds_NRHA_atlantis.R b/R/get_thresholds_NRHA_atlantis.R
new file mode 100644
index 0000000..9e4cb28
--- /dev/null
+++ b/R/get_thresholds_NRHA_atlantis.R
@@ -0,0 +1,41 @@
+# Use pulled survdat.rds file to get environmental thresholds for Atlantis groups
+library(dplyr)
+library(here)
+# Get output data
+NRHA_dt <-read.csv(here("data","NRHA_data.csv"))
+atlantis_groups_dt <- read.csv(here("inputs","atlantis_codes_svspp_survey_thresholds.csv"))
+# Modify data tables for ease of use
+colnames(atlantis_groups_dt)[2] <- "COMNAME"
+atlantis_groups_dt <- group_by(atlantis_groups_dt,Code)
+atlantis_NRHA_dt <- inner_join(NRHA_dt,atlantis_groups_dt,by="COMNAME")
+
+# The data includes a lot of 0's in the surface temperature data and some above 40 (104 F)
+# for the surface temperature data.  This constricts the ranges to exclude 0's and temperatures above 40.
+atlantis_NRHA_dt$BottTEMP[(atlantis_NRHA_dt$BottTEMP == 0) | (atlantis_NRHA_dt$BottTEMP > 40)] <- NA
+atlantis_NRHA_dt$SurfTEMP[(atlantis_NRHA_dt$SurfTEMP == 0) | (atlantis_NRHA_dt$SurfTEMP > 40)] <- NA
+
+atlantis_NRHA_summary_table <- group_by(atlantis_NRHA_dt,Code,SEASON)
+atlantis_NRHA_summary_table_SEASON <- summarise(atlantis_NRHA_summary_table, min_bottom_temp = min(BottTEMP, na.rm=T), max_bottom_temp = max(BottTEMP, na.rm=T),
+                                                min_surface_temp = min(SurfTEMP,na.rm=T), max_surface_temp = max(SurfTEMP,na.rm=T),
+                                                min_bottom_sal = min(BottSALIN,na.rm=T), max_bottom_sal = max(BottSALIN,na.rm=T),
+                                                min_surface_sal = min(SurfSALIN,na.rm=T), max_surface_sal = max(SurfSALIN,na.rm=T))
+
+atlantis_NRHA_summary_table_SPECIES <- group_by(atlantis_NRHA_dt,Code)
+atlantis_NRHA_summary_table_SPECIES <- summarise(atlantis_NRHA_summary_table_SPECIES, min_bottom_temp = min(BottTEMP, na.rm=T), max_bottom_temp = max(BottTEMP, na.rm=T),
+                                                 min_surface_temp = min(SurfTEMP,na.rm=T), max_surface_temp = max(SurfTEMP,na.rm=T),
+                                                 min_bottom_sal = min(BottSALIN,na.rm=T), max_bottom_sal = max(BottSALIN,na.rm=T),
+                                                 min_surface_sal = min(SurfSALIN,na.rm=T), max_surface_sal = max(SurfSALIN,na.rm=T))
+
+# Removes infinity values from the outputs and sets to NA
+atlantis_NRHA_summary_table_SEASON$min_bottom_sal[(atlantis_NRHA_summary_table_SEASON$min_bottom_sal == 'Inf') | (atlantis_NRHA_summary_table_SEASON$min_bottom_sal == '-Inf')] <- 'NA'
+atlantis_NRHA_summary_table_SEASON$max_bottom_sal[(atlantis_NRHA_summary_table_SEASON$max_bottom_sal == 'Inf') | (atlantis_NRHA_summary_table_SEASON$max_bottom_sal == '-Inf')] <- 'NA'
+atlantis_NRHA_summary_table_SEASON$min_surface_sal[(atlantis_NRHA_summary_table_SEASON$min_surface_sal == 'Inf') | (atlantis_NRHA_summary_table_SEASON$min_surface_sal == '-Inf')] <- 'NA'
+atlantis_NRHA_summary_table_SEASON$max_surface_sal[(atlantis_NRHA_summary_table_SEASON$max_surface_sal == 'Inf') | (atlantis_NRHA_summary_table_SEASON$max_surface_sal == '-Inf')] <- 'NA'
+
+atlantis_NRHA_summary_table_SPECIES$min_bottom_sal[(atlantis_NRHA_summary_table_SPECIES$min_bottom_sal == 'Inf') | (atlantis_NRHA_summary_table_SPECIES$min_bottom_sal == '-Inf')] <- 'NA'
+atlantis_NRHA_summary_table_SPECIES$max_bottom_sal[(atlantis_NRHA_summary_table_SPECIES$max_bottom_sal == 'Inf') | (atlantis_NRHA_summary_table_SPECIES$max_bottom_sal == '-Inf')] <- 'NA'
+atlantis_NRHA_summary_table_SPECIES$min_surface_sal[(atlantis_NRHA_summary_table_SPECIES$min_surface_sal == 'Inf') | (atlantis_NRHA_summary_table_SPECIES$min_surface_sal == '-Inf')] <- 'NA'
+atlantis_NRHA_summary_table_SPECIES$max_surface_sal[(atlantis_NRHA_summary_table_SPECIES$max_surface_sal == 'Inf') | (atlantis_NRHA_summary_table_SPECIES$max_surface_sal == '-Inf')] <- 'NA'
+
+write.csv(atlantis_NRHA_summary_table_SEASON,here("thresholds","atlantis_seasonal_thresholds_NRHA.csv"),row.names=FALSE)
+write.csv(atlantis_NRHA_summary_table_SPECIES,here("thresholds","atlantis_group_thresholds_NRHA.csv"),row.names=FALSE)
\ No newline at end of file
diff --git a/R/get_thresholds_survdat_atlantis.R b/R/get_thresholds_survdat_atlantis.R
index 730b945..e44b715 100644
--- a/R/get_thresholds_survdat_atlantis.R
+++ b/R/get_thresholds_survdat_atlantis.R
@@ -4,12 +4,18 @@ library(here)
 
 survdat_dt <-readRDS(here("data","surveyPull.rds"))
 summary_table <- group_by(survdat_dt$survdat,SVSPP,SEASON)
+
+# The data includes a lot of 0's in the surface temperature data and some above 31 (the max reported temperature in the MAB)
+# for the surface temperature data.  This constricts the ranges to exclude 0's and temperatures above 31.
+
+summary_table$BOTTEMP[(summary_table$BOTTEMP == 0) | (summary_table$BOTTEMP > 31)] <- NA
+summary_table$SURFTEMP[(summary_table$SURFTEMP == 0) | (summary_table$SURFTEMP > 31)] <- NA
 summary_table_SEASON <- summarise(summary_table, min_bottom_temp = min(BOTTEMP, na.rm=T), max_bottom_temp = max(BOTTEMP, na.rm=T),
                                 min_surface_temp = min(SURFTEMP,na.rm=T), max_surface_temp = max(SURFTEMP,na.rm=T),
                                           min_bottom_sal = min(BOTSALIN,na.rm=T), max_bottom_sal = max(BOTSALIN,na.rm=T),
                                           min_surface_sal = min(SURFSALIN,na.rm=T), max_surface_sal = max(SURFSALIN,na.rm=T))
 
-summary_table_SPECIES <- group_by(survdat_dt$survdat,SVSPP)
+summary_table_SPECIES <- group_by(summary_table,SVSPP)
 summary_table_SPECIES <- summarise(summary_table_SPECIES, min_bottom_temp = min(BOTTEMP, na.rm=T), max_bottom_temp = max(BOTTEMP, na.rm=T),
                                   min_surface_temp = min(SURFTEMP,na.rm=T), max_surface_temp = max(SURFTEMP,na.rm=T),
                                   min_bottom_sal = min(BOTSALIN,na.rm=T), max_bottom_sal = max(BOTSALIN,na.rm=T),
@@ -50,5 +56,5 @@ summary_table_ATLANTIS_SPECIES$max_bottom_sal[(summary_table_ATLANTIS_SPECIES$ma
 summary_table_ATLANTIS_SPECIES$min_surface_sal[(summary_table_ATLANTIS_SPECIES$min_surface_sal == 'Inf') | (summary_table_ATLANTIS_SPECIES$min_surface_sal == '-Inf')] <- 'NA'
 summary_table_ATLANTIS_SPECIES$max_surface_sal[(summary_table_ATLANTIS_SPECIES$max_surface_sal == 'Inf') | (summary_table_ATLANTIS_SPECIES$max_surface_sal == '-Inf')] <- 'NA'
 
-write.csv(summary_table_ATLANTIS_SEASON,here("thresholds","atlantis_seasonal_thresholds.csv"),row.names=FALSE)
-write.csv(summary_table_ATLANTIS_SPECIES,here("thresholds","atlantis_group_thresholds.csv"),row.names=FALSE)
+write.csv(summary_table_ATLANTIS_SEASON,here("thresholds","atlantis_seasonal_thresholds_survdat.csv"),row.names=FALSE)
+write.csv(summary_table_ATLANTIS_SPECIES,here("thresholds","atlantis_group_thresholds_survdat.csv"),row.names=FALSE)
diff --git a/get_thresholds_NRHA_Ecomon.R b/get_thresholds_NRHA_Ecomon.R
new file mode 100644
index 0000000..ef9373b
--- /dev/null
+++ b/get_thresholds_NRHA_Ecomon.R
@@ -0,0 +1,157 @@
+# Use pulled survdat.rds file to get environmental thresholds for Atlantis groups
+library(dplyr)
+library(here)
+library(geosphere)
+
+# Temporal and spatial bounds
+
+isWithinBounds <- function(CTD_loc,p1_loc,SPATIAL_BOUND) {
+  
+  distance <- distm(CTD_loc,p1_loc,fun=distGeo) * 0.000621371
+  if (distance <= SPATIAL_BOUND) {
+    return(TRUE)
+  } else {
+    return(FALSE)
+  }
+}
+
+convertCTDdate <- function(date) {
+  split.points <- c(4,6,8)
+  converted_date <- substring(date,c(1,split.points + 1), c(split.points, nchar(date)))
+  converted_date <- as.Date(paste(converted_date[1],"-",converted_date[2],"-",converted_date[3],sep=""))
+  return(converted_date)
+}
+
+TEMPORAL_BOUND <- 7      # days
+SPATIAL_BOUND <- 1       # miles
+# Get output data
+NRHA_dt <-read.csv(here("data","NRHA_data.csv"))
+CTD_dt <-read.csv(here("data","CTD_data.csv"))
+
+# create empty dts to be filled for later analysts
+rows_CTD_dt <- nrow(CTD_dt)
+surfbot_dt <- CTD_dt[-c(1:rows_CTD_dt),]
+nearest_dt <- surfbot_dt
+
+# create list of uniqueIDs for CTD casts
+uniqueID_list <- unique(CTD_dt$UniqueID)[]
+
+
+# Make temporary data structure with just first (surface) and last (bottom) records, 
+# and add the first row to nearest_dt and the first and last to to surfbot_dt
+
+numCasts <- length(uniqueID_list)
+
+for(i in 1:numCasts) {
+  print(i)
+  temp_dt <- filter(CTD_dt, UniqueID == uniqueID_list[i])
+  nearest_dt <- rbind(nearest_dt,temp_dt[1,])
+  surfbot_dt <- rbind(surfbot_dt,temp_dt[1,])
+  surfbot_dt <- rbind(surfbot_dt,temp_dt[nrow(temp_dt),])
+}
+
+surfbot_dt_old <- surfbot_dt
+nearest_dt_old <- nearest_dt
+
+
+nearest_dt <- mutate(nearest_dt, DATE = convertCTDdate(Date))
+surfbot_dt$Date <- convertCTDdate(surfbot_dt$Date)
+
+surfbot_numRows <- nrow(surfbot_dt)
+
+newDates <- c(convertCTDdate(surfbot_dt$Date[1]))
+for (i in 2:surfbot_numRows) {
+  print(i)
+  newDate <- convertCTDdate(surfbot_dt$Date[i])
+  newDates <- append(newDates,newDate)
+}
+
+surfbot_dt$Date <- newDates
+atlantis_groups_dt <- read.csv(here("inputs","atlantis_codes_svspp_survey_thresholds.csv"))
+
+# Modify data tables for ease of use
+colnames(atlantis_groups_dt)[2] <- "COMNAME"
+atlantis_groups_dt <- group_by(atlantis_groups_dt,Code)
+
+atlantis_NRHA_dt <- inner_join(NRHA_dt,atlantis_groups_dt,by="COMNAME")
+
+atlantis_NRHA_tows_dt <- unique(select(atlantis_NRHA_dt,DATE,Start_Lat,Start_Lon))
+
+atlantis_NRHA_dt$SurfTEMP <- NA
+atlantis_NRHA_dt$BottTEMP <- NA
+atlantis_NRHA_dt$SurfSALIN <- NA
+atlantis_NRHA_dt$BottSALIN <- NA
+
+# Convert date columns to date object
+atlantis_NRHA_dt$DATE <- as.Date(atlantis_NRHA_dt$DATE)
+
+numRecords <- nrow(atlantis_NRHA_dt)
+
+for (n in 1:numRecords) {
+  loc_tow <- c(atlantis_NRHA_dt$Start_Lat[n], atlantis_NRHA_dt$Start_Lon[n])
+  date_tow <- as.Date(atlantis_NRHA_dt$DATE[n])
+  
+  min_date <- date_tow - TEMPORAL_BOUND
+  max_date <- date_tow + TEMPORAL_BOUND
+  
+  min_lat <- atlantis_NRHA_dt$Start_Lat[n] - 0.2
+  max_lat <- atlantis_NRHA_dt$Start_Lat[n] + 0.2
+  min_lon <- atlantis_NRHA_dt$Start_Lon[n] - 0.2
+  max_lon <- atlantis_NRHA_dt$Start_Lon[n] + 0.2
+  
+  surfbot_dt_filtered <- filter(surfbot_dt, Date >= min_date & Date <= max_date)
+  surfbot_dt_filtered <- filter(surfbot_dt_filtered, Latitude >= min_lat & Latitude <= max_lat & Longitude >= min_lon & Longitude <= max_lon)
+  print(n)
+  numCasts <- nrow(surfbot_dt_filtered)
+  
+  if (numCasts > 0) {
+    for (i in 1:numCasts) {
+      loc_ctd <- c(surfbot_dt_filtered$Latitude[i], surfbot_dt_filtered$Longitude[i])
+      if (isWithinBounds(loc_tow,loc_ctd,SPATIAL_BOUND)) {
+        print("Within Bounds")
+        atlantis_NRHA_dt$SurfTEMP[n] <- surfbot_dt_filtered$Temperature[i]
+        atlantis_NRHA_dt$SurfSALIN[n] <- surfbot_dt_filtered$Salinity[i]
+        i <- i + 1
+        atlantis_NRHA_dt$BottTEMP[n] <- surfbot_dt_filtered$Temperature[i]
+        atlantis_NRHA_dt$BottSALIN[n] <- surfbot_dt_filtered$Salinity[i]
+      } else {
+        i <- i + 1
+      }
+    }
+  }
+  
+}
+
+# The data includes a lot of 0's in the surface temperature data and some above 40 (104 F)
+# for the surface temperature data.  This constricts the ranges to exclude 0's and temperatures above 40.
+
+atlantis_NRHA_dt$BottTEMP[(atlantis_NRHA_dt$BottTEMP == 0) | (atlantis_NRHA_dt$BottTEMP > 40)] <- NA
+atlantis_NRHA_dt$SurfTEMP[(atlantis_NRHA_dt$SurfTEMP == 0) | (atlantis_NRHA_dt$SurfTEMP > 40)] <- NA
+
+atlantis_NRHA_summary_table <- group_by(atlantis_NRHA_dt,Code,SEASON)
+atlantis_NRHA_summary_table_SEASON <- summarise(atlantis_NRHA_summary_table, min_bottom_temp = min(BottTEMP, na.rm=T), max_bottom_temp = max(BottTEMP, na.rm=T),
+                                  min_surface_temp = min(SurfTEMP,na.rm=T), max_surface_temp = max(SurfTEMP,na.rm=T),
+                                  min_bottom_sal = min(BottSALIN,na.rm=T), max_bottom_sal = max(BottSALIN,na.rm=T),
+                                  min_surface_sal = min(SurfSALIN,na.rm=T), max_surface_sal = max(SurfSALIN,na.rm=T))
+
+
+atlantis_NRHA_summary_table_SPECIES <- group_by(atlantis_NRHA_dt,Code)
+atlantis_NRHA_summary_table_SPECIES <- summarise(atlantis_NRHA_summary_table_SPECIES, min_bottom_temp = min(BottTEMP, na.rm=T), max_bottom_temp = max(BottTEMP, na.rm=T),
+                                   min_surface_temp = min(SurfTEMP,na.rm=T), max_surface_temp = max(SurfTEMP,na.rm=T),
+                                   min_bottom_sal = min(BottSALIN,na.rm=T), max_bottom_sal = max(BottSALIN,na.rm=T),
+                                   min_surface_sal = min(SurfSALIN,na.rm=T), max_surface_sal = max(SurfSALIN,na.rm=T))
+
+# Removes infinity values from the outputs and sets to NA
+atlantis_NRHA_summary_table_SEASON$min_bottom_sal[(atlantis_NRHA_summary_table_SEASON$min_bottom_sal == 'Inf') | (atlantis_NRHA_summary_table_SEASON$min_bottom_sal == '-Inf')] <- 'NA'
+atlantis_NRHA_summary_table_SEASON$max_bottom_sal[(atlantis_NRHA_summary_table_SEASON$max_bottom_sal == 'Inf') | (atlantis_NRHA_summary_table_SEASON$max_bottom_sal == '-Inf')] <- 'NA'
+atlantis_NRHA_summary_table_SEASON$min_surface_sal[(atlantis_NRHA_summary_table_SEASON$min_surface_sal == 'Inf') | (atlantis_NRHA_summary_table_SEASON$min_surface_sal == '-Inf')] <- 'NA'
+atlantis_NRHA_summary_table_SEASON$max_surface_sal[(atlantis_NRHA_summary_table_SEASON$max_surface_sal == 'Inf') | (atlantis_NRHA_summary_table_SEASON$max_surface_sal == '-Inf')] <- 'NA'
+
+atlantis_NRHA_summary_table_SPECIES$min_bottom_sal[(atlantis_NRHA_summary_table_SPECIES$min_bottom_sal == 'Inf') | (atlantis_NRHA_summary_table_SPECIES$min_bottom_sal == '-Inf')] <- 'NA'
+atlantis_NRHA_summary_table_SPECIES$max_bottom_sal[(atlantis_NRHA_summary_table_SPECIES$max_bottom_sal == 'Inf') | (atlantis_NRHA_summary_table_SPECIES$max_bottom_sal == '-Inf')] <- 'NA'
+atlantis_NRHA_summary_table_SPECIES$min_surface_sal[(atlantis_NRHA_summary_table_SPECIES$min_surface_sal == 'Inf') | (atlantis_NRHA_summary_table_SPECIES$min_surface_sal == '-Inf')] <- 'NA'
+atlantis_NRHA_summary_table_SPECIES$max_surface_sal[(atlantis_NRHA_summary_table_SPECIES$max_surface_sal == 'Inf') | (atlantis_NRHA_summary_table_SPECIES$max_surface_sal == '-Inf')] <- 'NA'
+
+
+write.csv(atlantis_NRHA_summary_table_SEASON,here("thresholds","seasonal_thresholds_NRHA_ecomon_t7_d1.csv"),row.names=FALSE)
+write.csv(atlantis_NRHA_summary_table_SPECIES,here("thresholds","group_thresholds_NRHA_ecomon_t7_d1.csv"),row.names=FALSE)
\ No newline at end of file
diff --git a/inputs/atlantis_codes_svspp_survey_thresholds.csv b/inputs/atlantis_codes_svspp_survey_thresholds.csv
index e054235..0c3c2f7 100644
--- a/inputs/atlantis_codes_svspp_survey_thresholds.csv
+++ b/inputs/atlantis_codes_svspp_survey_thresholds.csv
@@ -93,6 +93,7 @@ FDF,Cunner,176
 TAU,Tautog,177
 FDF,Oyster toadfish,185
 FDF,Wrymouth,191
+WOL,Atlantic wolffish,192
 OPT,Ocean pout,193
 FDF,Northern puffer,196
 GOO,Goosefish,197
diff --git a/thresholds/atlantis_group_thresholds_NRHA.csv b/thresholds/atlantis_group_thresholds_NRHA.csv
index 44544ee..db4e7ff 100644
--- a/thresholds/atlantis_group_thresholds_NRHA.csv
+++ b/thresholds/atlantis_group_thresholds_NRHA.csv
@@ -28,6 +28,7 @@
 "TYL",7.95,17.95,6.64,28.8,"33.118","36.359","32.057","36.43"
 "WHK",1.3,25.3,0.6,29.13,"20.25","38.78","0.05","36.389"
 "WIF",-1.4,28.15999985,-1.4,32.3,"5.7","38.78","0","36"
+"WOL",1.5,14.8,1.5,20.2,"31.294","35.051","28.3","33.877"
 "WPF",-1.2,38.1,-0.9,32,"0.5","41.5","0","36.94"
 "WSK",-1.4,23.6,-1.4,24.41538,"11.58998","36.431","11","36.43"
 "WTF",1.5,26.1,1.5,26.73,"20.25","35.894","11","36.478"
diff --git a/thresholds/atlantis_group_thresholds_survdat.csv b/thresholds/atlantis_group_thresholds_survdat.csv
index 204346b..b8add9e 100644
--- a/thresholds/atlantis_group_thresholds_survdat.csv
+++ b/thresholds/atlantis_group_thresholds_survdat.csv
@@ -46,6 +46,7 @@
 "TYL",3.25,19.66,2,28.8,"31.032","36.359","31.017","36.43"
 "WHK",1.6,25.3,0.6,29.13,"29.029","35.835","24.249","36.389"
 "WIF",-1.4,23.12,-1.4,27,"26.547","35.459","15.925","35.679"
+"WOL",1.3,14.8,0.5,21.4,"31.294","35.051","29.283","33.877"
 "WPF",-1.2,27.7,-0.9,28.7,"23.267","36.341","15.925","36.354"
 "WSK",-1.4,21.88,-1.4,25.2,"24.138","36.431","15.925","36.43"
 "WTF",1,18.53,1,26.73,"30.691","35.894","24.249","36.478"
diff --git a/thresholds/atlantis_seasonal_thresholds_NRHA.csv b/thresholds/atlantis_seasonal_thresholds_NRHA.csv
index b59a335..79465b3 100644
--- a/thresholds/atlantis_seasonal_thresholds_NRHA.csv
+++ b/thresholds/atlantis_seasonal_thresholds_NRHA.csv
@@ -112,6 +112,10 @@
 "WIF","Spring",0.1,22.70000076,0.1,27.4,"14","35.459","4","35"
 "WIF","Summer",4.3,28.15999985,4.7,32.3,"5.7","36","2.3","36"
 "WIF","Winter",-1.4,18.9,-1.4,12.5,"7","36.19844","5","35.43703"
+"WOL","Fall",3.2,14.8,6.7,18.5,"31.935","35.051","30.345","33.395"
+"WOL","Spring",1.5,11.23,1.5,11.9,"31.294","35.048","28.3","33.877"
+"WOL","Summer",3.63,10,5.5,20.2,"32.191","34.692","30.105","32.33"
+"WOL","Winter",4.7,10.1,3.57,9,"32.112","33.603","31.815","32.08"
 "WPF","Fall",5,27.7,6.9,28.87,"0.5","41.5","0.05","36.7"
 "WPF","Spring",-0.9,38.1,-0.9,29.4,"2","36.78","0","36.6"
 "WPF","Summer",4.4,30.09,4.7,32,"3.6","36.6","4","36.94"
diff --git a/thresholds/atlantis_seasonal_thresholds_survdat.csv b/thresholds/atlantis_seasonal_thresholds_survdat.csv
index 6348840..b55a9e3 100644
--- a/thresholds/atlantis_seasonal_thresholds_survdat.csv
+++ b/thresholds/atlantis_seasonal_thresholds_survdat.csv
@@ -214,6 +214,10 @@
 "WIF","SPRING",1.23,16,0.9,17.3,"26.547","35.459","15.925","33.888"
 "WIF","SUMMER",2.5,21,8.2,27,"30.904","32.774","30.057","32.053"
 "WIF","WINTER",-1.4,11.25,-1.4,8.51,"31.076","34.836","29.102","34.121"
+"WOL","FALL",2.9,14.8,6.7,18.5,"31.935","35.051","30.345","33.395"
+"WOL","SPRING",1.3,11.23,0.5,13.28,"31.294","35.048","29.283","33.877"
+"WOL","SUMMER",1.7,10.1,7.9,21.4,"32.191","34.692","30.105","32.33"
+"WOL","WINTER",1.8,7.91,0.8,5.1,"32.112","33.603","31.815","32.08"
 "WPF","FALL",5.34,27.7,6.3,28.7,"27.223","36.106","20.356","34.822"
 "WPF","SPRING",1.4,19.7,1.4,20.6,"23.267","36.341","15.925","36.354"
 "WPF","SUMMER",5.1,27.4,9.9,28.2,"30.904","31.594","30.87","31.561"
diff --git a/thresholds/group_thresholds_NRHA_ecomon_t14_d1.csv b/thresholds/group_thresholds_NRHA_ecomon_t14_d1.csv
new file mode 100644
index 0000000..0db53fb
--- /dev/null
+++ b/thresholds/group_thresholds_NRHA_ecomon_t14_d1.csv
@@ -0,0 +1,34 @@
+"Code","min_bottom_temp","max_bottom_temp","min_surface_temp","max_surface_temp","min_bottom_sal","max_bottom_sal","min_surface_sal","max_surface_sal"
+"BLF",5.78,28.08,5.94,27.05,"-1e+10","36.447","-1e+10","36.389"
+"BSB",3.15,28.8,3.25,27.53,"-1e+10","36.43","-1e+10","36.404"
+"BUT",2.53,29.23,3.8,27.5,"-1e+10","36.578","-1e+10","36.509"
+"COD",0.88,23.08,1.35,17.89,"-1e+10","34.085","-1e+10","35.5"
+"DOG",1.21,27.66,2.09,22.91,"-1e+10","36.578","-1e+10","36.255"
+"DRM",4.54,29.04,4.15,28.33,"-1e+10","36.578","-1e+10","36.455"
+"FDE",0.88,25.9,1.27,26.6,"-1e+10","36.031","-1e+10","36.168"
+"HAD",1.17,27.59,2.69,18.58,"-1e+10","36.089","-1e+10","35.785"
+"HAL",1.17,16.27,2.55,13.61,"-1e+10","33.64","31.663","35.001"
+"HER",0.88,25.16,1.23,21.233,"-1e+10","35.393","-1e+10","35.645"
+"LSK",0.88,28.36,0.32,23.45,"-1e+10","36.114","-1e+10","35.894"
+"MAK",1.21,23.42,2.48,22.53,"-1e+10","36.031","-1e+10","35.838"
+"OHK",3.87,29.21,4.63,15.59,"-1e+10","36.579","-1e+10","35.956"
+"OPT",1.3,27.59,1.27,19.85,"-1e+10","35.321","-1e+10","35.688"
+"PLA",1.21,22.04,1.35,17.174,"-1e+10","34.176","30.544","35.56"
+"POL",1.21,22.84,2.18,17.14,"-1e+10","35.26","-1e+10","35.512"
+"QHG",6.07,18.7199,3.57,13.05,"30.521","33.751","30.559","34.185"
+"RED",1.68,22.29,2.34,14.72,"-1e+10","34.783","31.43","35.58"
+"RHK",1.21,27.59,1.71,22.0707,"-1e+10","36.466","-1e+10","36.312"
+"SAL",Inf,-Inf,Inf,-Inf,"NA","NA","NA","NA"
+"SCU",4.25,29.23,4.12,28.33,"-1e+10","36.478","-1e+10","36.5"
+"SDF",6.05,22.92,5.33,14.08,"20.77","34.645","24.49","35.505"
+"SHK",1.21,29.21,1.74,24.46,"-1e+10","36.578","-1e+10","36.2"
+"SK",1.17,29.76,2.18,27.5,"-1e+10","36.579","-1e+10","36.5"
+"SUF",1.55,29.4,1.74,28.22,"-1e+10","36.558","-1e+10","36.554"
+"TAU",2.89,24.94985,2.84,23.03,"-1e+10","33.582","-1e+10","33.818"
+"TYL",6.42,28.51,7.95,17.95,"-1e+10","36.407","33.118","36.359"
+"WHK",1.64,26.68,2.92,18.01,"-1e+10","36.409","29.206","35.845"
+"WIF",0.88,24.47,0.32,23.12,"-1e+10","35.209","-1e+10","35.187"
+"WPF",0.88,28.58,0.32,26.7,"-1e+10","36.089","-1e+10","35.587"
+"WSK",0.88,23.77,0.32,21.88,"-1e+10","36.089","-1e+10","35.764"
+"WTF",1.55,27.17,2.09,18.33,"-1e+10","36.409","-1e+10","35.894"
+"YTF",1.17,25.21,0.32,20.02,"-1e+10","35.772","-1e+10","35.645"
diff --git a/thresholds/group_thresholds_NRHA_ecomon_t14_d5.csv b/thresholds/group_thresholds_NRHA_ecomon_t14_d5.csv
new file mode 100644
index 0000000..9a1bb5d
--- /dev/null
+++ b/thresholds/group_thresholds_NRHA_ecomon_t14_d5.csv
@@ -0,0 +1,34 @@
+"Code","min_bottom_temp","max_bottom_temp","min_surface_temp","max_surface_temp","min_bottom_sal","max_bottom_sal","min_surface_sal","max_surface_sal"
+"BLF",5.66,28.08,4.44,27.08,"-1e+10","36.38","-1e+10","36.428"
+"BSB",3.44,28.91,2.99,27.36,"-1e+10","36.43","-1e+10","36.404"
+"BUT",1.087,29.4,-1e+10,28.51,"-1e+10","36.574","-1e+10","36.846"
+"COD",1.087,23.08,1.35,21.95,"-1e+10","35.921","-1e+10","36.517"
+"DOG",1.087,27.76,2.09,23.11,"-1e+10","36.466","-1e+10","36.517"
+"DRM",2.9,29.57,-1e+10,28.51,"-1e+10","36.606","-1e+10","37.3033"
+"FDE",1.087,26.15,1.27,27.3,"-1e+10","36.031","-1e+10","37.3033"
+"HAD",1.087,27.59,2.32,20.08,"-1e+10","36.3064","-1e+10","35.742"
+"HAL",1.17,18.71,2.74,16.57,"-1e+10","33.619","26.547","35.075"
+"HER",1.3,25.16,1.23,22.12113,"-1e+10","35.921","-1e+10","36.418"
+"LSK",1.087,28.36,-1e+10,24.26,"-1e+10","36.406","-1e+10","35.932"
+"MAK",1.21,25.73,2.93,22.53,"-1e+10","36.43","-1e+10","35.932"
+"OHK",3.48,29.44,4.2548,24.54,"-1e+10","36.579","32.234","36.463"
+"OPT",1.3,27.59,1.27,19.85,"-1e+10","35.968","-1e+10","35.772"
+"PLA",1.17,20.97,1.35,17.723,"-1e+10","34.797","-1e+10","35.637"
+"POL",1.087,22.03,2.18,21.233,"-1e+10","35.26","-1e+10","36.517"
+"QHG",3.94,20.14,2.93,20.51,"29.161","33.481","30.747","34.461"
+"RED",1.68,20.68,2.32,18.53,"-1e+10","34.99","31.252","35.754"
+"RHK",1.17,27.59,-1e+10,24.2445,"-1e+10","36.466","-1e+10","36.361"
+"SAL",Inf,-Inf,Inf,-Inf,"NA","NA","NA","NA"
+"SCU",3.18,29.57,-1e+10,28.51,"-1e+10","36.606","-1e+10","36.741"
+"SDF",6.24,25.97,5.33,25.59,"-1e+10","33.786","24.8037","35.726"
+"SHK",1.087,29.4,-1e+10,28.51,"-1e+10","36.561","-1e+10","36.517"
+"SK",1.087,29.76,-1e+10,28.28,"-1e+10","36.579","-1e+10","36.554"
+"SUF",1.55,29.27,-1e+10,28.22,"-1e+10","36.606","-1e+10","36.741"
+"TAU",2.51,27.37,1.61,26.55,"-1e+10","34.55","-1e+10","36.21"
+"TYL",6.42,27.16,7.68,22.66,"32.245","36.43","32.829","36.459"
+"WHK",1.17,29.4,2.54,22.61,"-1e+10","36.409","-1e+10","36.348"
+"WIF",1.3,25.9152,-1e+10,24.26,"-1e+10","35.209","-1e+10","37.3033"
+"WPF",1.17,28.58,-1e+10,26.7,"-1e+10","35.921","-1e+10","36.3209"
+"WSK",1.087,23.77,1.27,21.88,"-1e+10","36.3064","-1e+10","36.431"
+"WTF",1.55,26.41,2.09,18.53,"-1e+10","36.409","-1e+10","35.894"
+"YTF",1.087,25.23,-1e+10,20.02,"-1e+10","35.772","-1e+10","35.76"
diff --git a/thresholds/group_thresholds_NRHA_ecomon_t7_d1.csv b/thresholds/group_thresholds_NRHA_ecomon_t7_d1.csv
new file mode 100644
index 0000000..bf899a0
--- /dev/null
+++ b/thresholds/group_thresholds_NRHA_ecomon_t7_d1.csv
@@ -0,0 +1,34 @@
+"Code","min_bottom_temp","max_bottom_temp","min_surface_temp","max_surface_temp","min_bottom_sal","max_bottom_sal","min_surface_sal","max_surface_sal"
+"BLF",5.78,28.08,5.94,27.05,"-1e+10","36.447","-1e+10","36.389"
+"BSB",3.15,28.8,3.25,27.53,"-1e+10","36.43","-1e+10","36.404"
+"BUT",2.53,29.23,3.8,27.5,"-1e+10","36.578","-1e+10","36.509"
+"COD",0.88,23.08,1.35,17.89,"-1e+10","34.085","-1e+10","35.5"
+"DOG",1.21,27.66,2.09,22.91,"-1e+10","36.578","-1e+10","36.255"
+"DRM",4.54,29.04,4.15,28.33,"-1e+10","36.578","-1e+10","36.455"
+"FDE",0.88,25.9,1.27,26.6,"-1e+10","36.031","-1e+10","36.168"
+"HAD",1.17,27.59,2.69,18.58,"-1e+10","36.089","-1e+10","35.646"
+"HAL",1.17,16.27,2.55,13.61,"-1e+10","33.64","31.691","35.001"
+"HER",0.88,25.16,1.23,20.8659,"-1e+10","35.393","-1e+10","35.645"
+"LSK",0.88,28.36,0.32,23.45,"-1e+10","36.114","-1e+10","35.894"
+"MAK",1.21,23.42,2.48,22.53,"-1e+10","36.031","-1e+10","35.838"
+"OHK",3.87,29.21,4.63,15.59,"-1e+10","36.579","-1e+10","35.956"
+"OPT",1.3,27.59,1.27,19.85,"-1e+10","35.321","-1e+10","35.688"
+"PLA",1.21,22.04,1.35,16.19,"-1e+10","34.176","30.544","35.56"
+"POL",1.21,22.84,2.18,17.14,"-1e+10","35.26","-1e+10","35.512"
+"QHG",6.26,18.7199,3.77,13.05,"30.9983","33.751","32.046","34.185"
+"RED",1.68,22.29,2.34,14.72,"-1e+10","34.783","31.43","35.58"
+"RHK",1.21,27.59,1.71,22.0707,"-1e+10","36.466","-1e+10","36.312"
+"SAL",Inf,-Inf,Inf,-Inf,"NA","NA","NA","NA"
+"SCU",4.25,29.23,4.12,28.33,"-1e+10","36.478","-1e+10","36.5"
+"SDF",6.05,22.92,5.33,14.08,"22.05","34.645","26.995","35.505"
+"SHK",1.21,29.21,1.74,24.46,"-1e+10","36.578","-1e+10","36.2"
+"SK",1.17,29.76,2.18,27.5,"-1e+10","36.579","-1e+10","36.5"
+"SUF",1.55,29.4,1.74,28.22,"-1e+10","36.558","-1e+10","36.554"
+"TAU",2.89,24.94985,2.84,23.03,"-1e+10","33.582","-1e+10","33.818"
+"TYL",6.42,28.51,7.95,17.95,"-1e+10","36.407","33.118","36.359"
+"WHK",1.64,26.68,2.92,18.01,"-1e+10","36.409","29.206","35.845"
+"WIF",0.88,24.47,0.32,23.12,"-1e+10","35.209","-1e+10","35.187"
+"WPF",0.88,28.58,0.32,26.7,"-1e+10","36.089","-1e+10","35.587"
+"WSK",0.88,23.77,0.32,21.88,"-1e+10","36.089","-1e+10","35.764"
+"WTF",1.55,27.17,2.09,18.33,"-1e+10","36.409","-1e+10","35.894"
+"YTF",1.17,25.21,0.32,20.02,"-1e+10","35.772","-1e+10","35.645"
diff --git a/thresholds/seasonal_thresholds_NRHA_ecomon_t14_d1.csv b/thresholds/seasonal_thresholds_NRHA_ecomon_t14_d1.csv
new file mode 100644
index 0000000..9c19df1
--- /dev/null
+++ b/thresholds/seasonal_thresholds_NRHA_ecomon_t14_d1.csv
@@ -0,0 +1,130 @@
+"Code","SEASON","min_bottom_temp","max_bottom_temp","min_surface_temp","max_surface_temp","min_bottom_sal","max_bottom_sal","min_surface_sal","max_surface_sal"
+"BLF","Fall",9.88,28.08,7.82,27.05,"-1e+10","36.338","-1e+10","36.385"
+"BLF","Spring",5.78,19.68,5.94,20.31,"-1e+10","36.447","26.7197","36.389"
+"BLF","Summer",16.22,25.6666,8.59,26.4927,"26.68","32.13","25.8851","33.708"
+"BLF","Winter",6.41,19.75,8.36,17.64,"-1e+10","36.362","32.803","36.312"
+"BSB","Fall",9.68,28.8,7,27.53,"-1e+10","36.316","-1e+10","36.401"
+"BSB","Spring",3.44,22.45,3.25,21,"-1e+10","36.43","26.2028","36.404"
+"BSB","Summer",8.842,25.59,5.115,23.0309,"26.8127","32.13","27.9933","33.47"
+"BSB","Winter",3.15,19.75,4.31,18.26,"-1e+10","36.407","-1e+10","36.365"
+"BUT","Fall",7.93,29.23,4.72,27.5,"-1e+10","36.359","-1e+10","36.509"
+"BUT","Spring",2.53,24.12,3.8,21.12,"-1e+10","36.578","-1e+10","36.489"
+"BUT","Summer",10.47,25.59,4.83,23.0309,"8.5465","32.267","21.6008","33.708"
+"BUT","Winter",3.15,20.27,4.68,15.9,"-1e+10","36.466","-1e+10","36.043"
+"COD","Fall",8.15,23.08,4.41,17.89,"-1e+10","33.685","-1e+10","35.286"
+"COD","Spring",1.17,14.16,1.35,12.51,"-1e+10","34.085","30.052","35.5"
+"COD","Summer",5.85,20.97,3.35,11.952,"30.603","32.366","31.125","34.818"
+"COD","Winter",0.88,9.12,1.44,12.56,"29.77","33.128","30.729","35.402"
+"DOG","Fall",8.15,27.66,4.41,22.91,"-1e+10","35.819","-1e+10","35.82"
+"DOG","Spring",1.21,22.01,2.39,17.34,"-1e+10","36.578","-1e+10","36.114"
+"DOG","Summer",5.85,23.38,3.61,18.3924,"30.545","32.367","31.119","34.818"
+"DOG","Winter",2.37,19.47,2.09,16.62,"-1e+10","36.478","-1e+10","36.255"
+"DRM","Fall",12.5353,29.04,9.96,28.33,"-1e+10","36.338","-1e+10","36.455"
+"DRM","Spring",4.54,23.69,4.64,19.47,"-1e+10","36.578","-1e+10","36.428"
+"DRM","Summer",16.67,25.6666,8.883,26.4927,"8.5465","34.279","21.6008","34.678"
+"DRM","Winter",4.63,12.15,4.15,15.9,"-1e+10","35.231","31.165","36.043"
+"FDE","Fall",8.257,25.9,4.41,26.6,"-1e+10","35.806","27.4185","36.168"
+"FDE","Spring",1.68,16.7,1.27,15.01,"-1e+10","36.031","-1e+10","35.7"
+"FDE","Summer",5.85,24.94985,3.63,22.12113,"8.5465","32.494","21.6008","34.114"
+"FDE","Winter",0.88,12.06,1.44,14.94,"-1e+10","35.072","29.76","35.771"
+"HAD","Fall",8.257,27.59,4.64,18.58,"-1e+10","35.819","-1e+10","35.785"
+"HAD","Spring",1.17,19.16,2.69,13.64,"-1e+10","36.089","-1e+10","35.568"
+"HAD","Summer",8.67,19.74,4.22,9,"30.603","32.494","31.551","35.008"
+"HAD","Winter",1.55,12.39,3.03,12.81,"-1e+10","35.169","32.046","35.402"
+"HAL","Fall",9.43,16.27,5.65,13.61,"31.065","33.64","31.715","35.001"
+"HAL","Spring",1.17,14.11,2.55,9.6,"-1e+10","33.298","31.691","34.556"
+"HAL","Summer",8.842,8.842,5.115,6.65,"30.958","30.958","31.663","32.403"
+"HAL","Winter",5.98,5.98,5.57,7.91,"32.044","32.044","32.376","33.603"
+"HER","Fall",8.15,25.16,4.41,19.9,"-1e+10","34.55","30.4185","35.241"
+"HER","Spring",1.66,14.11,1.23,14.36,"-1e+10","35.393","-1e+10","35.645"
+"HER","Summer",5.85,23.32108,3.35,21.233,"26.2394","32.367","24.8037","34.818"
+"HER","Winter",0.88,9.76,1.44,13.16,"-1e+10","34.199","-1e+10","35.128"
+"LSK","Fall",9.46,28.36,4.72,23.45,"-1e+10","35.819","-1e+10","35.894"
+"LSK","Spring",1.17,19.16,1.71,16.27,"-1e+10","36.114","-1e+10","35.73"
+"LSK","Summer",8.67,25.05,4.6,21.75,"26.2008","32.494","27.5978","33.708"
+"LSK","Winter",0.88,14.92,0.32,15.72,"-1e+10","35.816","-1e+10","35.854"
+"MAK","Fall",8.37,23.42,4.95,22.53,"-1e+10","34.678","30.359","35.728"
+"MAK","Spring",1.21,17.02,2.48,14.66,"-1e+10","36.031","-1e+10","35.838"
+"MAK","Summer",13.59,22.04,4.22,20.66,"28.796","31.805","28.898","33.354"
+"MAK","Winter",3.06,11.4,3.76,14.19,"-1e+10","35.231","31.165","35.586"
+"OHK","Fall",11.25,29.21,6.22,15.59,"31.342","35.833","32.384","35.956"
+"OHK","Spring",3.87,22.7,4.63,15.22,"-1e+10","36.579","-1e+10","35.845"
+"OHK","Summer",Inf,-Inf,Inf,-Inf,"NA","NA","NA","NA"
+"OHK","Winter",4.56,18.84,6.34,14.79,"-1e+10","36.409","32.566","35.862"
+"OPT","Fall",9.46,27.59,4.41,19.85,"27.587","35.017","31.119","35.688"
+"OPT","Spring",1.66,14.16,1.27,13.64,"-1e+10","35.321","-1e+10","35.638"
+"OPT","Summer",5.85,19.74,3.35,11.952,"30.57","32.494","31.125","34.741"
+"OPT","Winter",1.3,10.1,1.44,14.01,"-1e+10","34.199","30.481","35.415"
+"PLA","Fall",8.15,19.74,4.41,17.174,"-1e+10","34.176","31.208","35.56"
+"PLA","Spring",1.21,14.11,1.35,10.84,"-1e+10","33.864","30.544","35.14"
+"PLA","Summer",5.85,22.04,3.35,10.28,"30.545","32.494","31.119","34.741"
+"PLA","Winter",3.464,9.76,3.32,11.57,"29.77","33.481","32.046","34.99"
+"POL","Fall",8.257,22.84,4.77,17.14,"-1e+10","33.64","-1e+10","35.286"
+"POL","Spring",1.21,12.25,2.18,11.23,"-1e+10","33.923","30.577","35.305"
+"POL","Summer",5.85,20.97,3.35,8.883,"30.596","32.367","31.551","34.114"
+"POL","Winter",3.59,10.96,2.78,12.14,"32.259","35.26","32.197","35.512"
+"QHG","Fall",11.64,18.7199,7.48,13.05,"30.9983","32.321","31.941","33.277"
+"QHG","Spring",6.07,9.75,3.57,9.06,"30.521","33.085","30.559","34.185"
+"QHG","Summer",8.67,8.67,7.1,7.1,"32.494","32.494","32.198","32.198"
+"QHG","Winter",8.72,8.72,9.47,9.47,"33.751","33.751","34.1","34.1"
+"RED","Fall",8.15,22.29,4.55,14.72,"-1e+10","34.783","31.759","35.58"
+"RED","Spring",1.68,14.11,2.34,11.23,"-1e+10","33.923","31.43","35.286"
+"RED","Summer",8.67,20.24,3.35,9.69,"30.57","32.494","31.943","35.008"
+"RED","Winter",8.88,9.76,8.03,9.02,"32.361","33.332","32.197","34.161"
+"RHK","Fall",8.15,27.59,4.41,22.0707,"-1e+10","35.819","-1e+10","35.956"
+"RHK","Spring",1.64,20.12,1.71,16.55,"-1e+10","36.43","-1e+10","35.845"
+"RHK","Summer",5.85,23.38,3.35,21.75,"25.2718","32.494","27.1846","34.741"
+"RHK","Winter",1.21,19.75,1.74,17.64,"-1e+10","36.466","-1e+10","36.312"
+"SAL","Spring",Inf,-Inf,Inf,-Inf,"NA","NA","NA","NA"
+"SAL","Winter",Inf,-Inf,Inf,-Inf,"NA","NA","NA","NA"
+"SCU","Fall",9.49,29.23,7.75,28.33,"-1e+10","36.338","-1e+10","36.5"
+"SCU","Spring",4.25,23.69,4.12,20.88,"-1e+10","36.448","26.2028","36.454"
+"SCU","Summer",8.842,25.59,5.115,23.0309,"8.5465","32.13","21.6008","33.708"
+"SCU","Winter",4.63,20.27,4.15,18.26,"-1e+10","36.478","30.907","36.365"
+"SDF","Fall",22.92,22.92,9.38,14.08,"34.645","34.645","35.175","35.505"
+"SDF","Spring",6.05,8.83,5.33,10.76,"20.77","32.586","24.49","34.608"
+"SDF","Summer",Inf,-Inf,Inf,-Inf,"NA","NA","NA","NA"
+"SDF","Winter",6.24,8.22,5.92,12.79,"32.683","33.624","32.703","35.243"
+"SHK","Fall",7.93,29.21,4.41,24.46,"-1e+10","36.061","-1e+10","35.956"
+"SHK","Spring",1.21,22.01,1.8,16.42,"-1e+10","36.578","-1e+10","36.2"
+"SHK","Summer",5.85,25.05,3.35,20.31,"25.2718","32.494","27.1846","35.008"
+"SHK","Winter",1.3,19.02,1.74,15.9,"-1e+10","36.362","-1e+10","36.043"
+"SK","Fall",8.15,29.76,4.55,27.5,"-1e+10","36.359","-1e+10","36.5"
+"SK","Spring",1.17,24.12,2.18,20.73,"-1e+10","36.579","-1e+10","36.464"
+"SK","Summer",10.26,25.59,3.35,23.0309,"28.638","32.367","27.143","34.818"
+"SK","Winter",2.37,20.27,3.32,18.26,"-1e+10","36.478","30.907","36.365"
+"SUF","Fall",10.52,29.4,7.59,28.22,"-1e+10","36.34","-1e+10","36.426"
+"SUF","Spring",2.83,23.69,1.8,20.73,"-1e+10","36.558","-1e+10","36.554"
+"SUF","Summer",10.21,25.6666,8.883,26.4927,"26.2008","32.13","25.8851","33.47"
+"SUF","Winter",1.55,19.47,1.74,18.26,"-1e+10","36.478","-1e+10","36.365"
+"TAU","Fall",11.19,23.81,10.51,23.03,"-1e+10","32.293","-1e+10","32.896"
+"TAU","Spring",2.89,12.68,2.84,11.3311,"-1e+10","32.417","26.0477","33.353"
+"TAU","Summer",20.382,24.94985,6.36,22.4753,"26.2008","30.582","27.2897","32.853"
+"TAU","Winter",3.42,7.96,3.24,8.91,"31.986","33.582","31.911","33.818"
+"TYL","Fall",23.18,28.51,7.95,17.95,"30.846","33.737","33.118","36.359"
+"TYL","Spring",6.42,12.84,8.91,13.83,"32.903","35.773","33.941","35.719"
+"TYL","Winter",17.35,18.62,12.07,15.16,"-1e+10","36.407","35.5","35.965"
+"WHK","Fall",8.257,26.68,4.41,18.01,"-1e+10","35.819","31.264","35.646"
+"WHK","Spring",1.64,16.97,2.92,15.22,"-1e+10","35.83","29.206","35.845"
+"WHK","Summer",5.85,22.1631,3.35,13.956,"16.9258","32.494","30.7359","34.741"
+"WHK","Winter",3.15,18.84,4.32,13.82,"-1e+10","36.409","32.302","35.59"
+"WIF","Fall",8.413,24.47,4.95,23.12,"-1e+10","35.209","-1e+10","35.024"
+"WIF","Spring",1.64,14.16,1.23,12.11,"-1e+10","33.923","-1e+10","35.187"
+"WIF","Summer",5.85,24.0874,4.58,22.4753,"16.9258","32.494","27.1846","33.708"
+"WIF","Winter",0.88,9.24,0.32,9.98,"-1e+10","33.962","29.76","34.302"
+"WPF","Fall",9.18,28.58,6.1,26.7,"-1e+10","35.772","-1e+10","35.331"
+"WPF","Spring",1.41,19.16,1.71,16.679,"-1e+10","36.089","-1e+10","35.587"
+"WPF","Summer",8.842,25.6666,5.115,26.4927,"25.2718","32.13","25.8851","33.708"
+"WPF","Winter",0.88,10.36,0.32,10.95,"-1e+10","35.281","-1e+10","35.182"
+"WSK","Fall",8.7,23.77,5.15,21.88,"-1e+10","35.819","-1e+10","35.764"
+"WSK","Spring",1.17,19.16,1.27,14.85,"-1e+10","36.089","-1e+10","35.73"
+"WSK","Summer",8.842,23.32108,5.115,14.39793,"29.101","31.744","31.125","33.708"
+"WSK","Winter",0.88,12.39,0.32,13.43,"-1e+10","35.169","29.76","35.452"
+"WTF","Fall",8.15,27.17,4.41,18.33,"-1e+10","35.627","31.536","35.894"
+"WTF","Spring",2.02,19.16,2.34,13.77,"-1e+10","36.406","-1e+10","35.73"
+"WTF","Summer",5.85,20.24,3.35,10.17,"30.57","32.367","31.91","34.741"
+"WTF","Winter",1.55,18.84,2.09,14.46,"-1e+10","36.409","31.61","35.854"
+"YTF","Fall",9.06,25.21,4.72,20.02,"20.615","35.772","31.045","35.464"
+"YTF","Spring",1.17,13.17,1.98,14.15,"-1e+10","35.328","-1e+10","35.645"
+"YTF","Summer",8.842,23.38,4.58,11.952,"30.545","32.366","31.125","32.896"
+"YTF","Winter",1.21,9.24,0.32,11.57,"-1e+10","34.067","-1e+10","34.99"
diff --git a/thresholds/seasonal_thresholds_NRHA_ecomon_t14_d5.csv b/thresholds/seasonal_thresholds_NRHA_ecomon_t14_d5.csv
new file mode 100644
index 0000000..f0e8fa7
--- /dev/null
+++ b/thresholds/seasonal_thresholds_NRHA_ecomon_t14_d5.csv
@@ -0,0 +1,130 @@
+"Code","SEASON","min_bottom_temp","max_bottom_temp","min_surface_temp","max_surface_temp","min_bottom_sal","max_bottom_sal","min_surface_sal","max_surface_sal"
+"BLF","Fall",9.88,28.08,6.34,27.08,"-1e+10","36.261","-1e+10","36.422"
+"BLF","Spring",5.66,21.7,4.44,22.55,"26.5","36.38","-1e+10","36.428"
+"BLF","Summer",11.49,25.6666,5.916,26.4927,"25.38","32.332","0.0697","33.708"
+"BLF","Winter",6.41,19.75,8.82,17.64,"-1e+10","36.362","32.803","36.312"
+"BSB","Fall",9.68,28.91,6.28,27.36,"-1e+10","36.129","-1e+10","36.401"
+"BSB","Spring",3.44,23.01,3.25,21.05,"-1e+10","36.43","-1e+10","36.404"
+"BSB","Summer",8.511,27.37,3.64,26.63,"0.0669","34.55","26.8188","36.21"
+"BSB","Winter",3.46,19.75,2.99,19.64,"-1e+10","36.401","-1e+10","36.361"
+"BUT","Fall",7.93,29.4,3.99,28.51,"-1e+10","36.352","-1e+10","36.539"
+"BUT","Spring",1.087,24.41,2.653,22.67,"-1e+10","36.574","-1e+10","36.846"
+"BUT","Summer",7.11,27.54,-1e+10,26.63,"0.0669","34.55","0.0697","36.21"
+"BUT","Winter",3.45,19.43,3.37,19.64,"-1e+10","36.466","-1e+10","36.361"
+"COD","Fall",5.67,23.08,3.83,21.95,"-1e+10","35.168","-1e+10","35.366"
+"COD","Spring",1.087,16.06,1.35,17.723,"-1e+10","35.921","-1e+10","36.517"
+"COD","Summer",7.11,21.244,3.63,18.3924,"9.8712","32.65","26.733","35.085"
+"COD","Winter",1.21,9.59,1.36,12.56,"-1e+10","33.398","30.729","35.402"
+"DOG","Fall",5.67,27.76,3.83,23.11,"-1e+10","35.874","-1e+10","35.892"
+"DOG","Spring",1.087,20.12,2.39,22.07,"-1e+10","36.43","-1e+10","36.517"
+"DOG","Summer",8.842,23.72,3.61,21.233,"29.335","33.34","29.095","34.818"
+"DOG","Winter",2.22,19.4,2.09,16.62,"-1e+10","36.466","-1e+10","36.255"
+"DRM","Fall",10.13,29.57,7.35,28.51,"-1e+10","36.261","-1e+10","36.454"
+"DRM","Spring",2.9,22.77,2.681,22.55,"22.29","36.606","24.655","36.62"
+"DRM","Summer",11.49,25.6666,-1e+10,26.4927,"0.0669","32.5","0.0657","37.3033"
+"DRM","Winter",5.06,11.4,4.53,19.64,"30.71","35.231","30.18","36.361"
+"FDE","Fall",8.212,26.15,3.83,27.3,"-1e+10","35.361","23.114","36.168"
+"FDE","Spring",1.087,16.7,1.27,18.47,"-1e+10","36.031","-1e+10","36.063"
+"FDE","Summer",7.11,25.59,3.63,26.63,"8.5465","32.532","12.449","37.3033"
+"FDE","Winter",1.21,12.6,1.36,14.44,"-1e+10","35.274","-1e+10","35.781"
+"HAD","Fall",8.015,27.59,4.47,20.08,"-1e+10","35.874","-1e+10","35.742"
+"HAD","Spring",1.087,20.0199,2.32,17.723,"-1e+10","36.3064","-1e+10","35.648"
+"HAD","Summer",7.11,21.244,4.22,14.08,"28.796","32.65","26.8188","35.085"
+"HAD","Winter",1.55,11.815,3.03,12.66,"-1e+10","34.788","31.48","35.402"
+"HAL","Fall",8.389,18.71,5.19,16.57,"-1e+10","33.619","31.654","35.075"
+"HAL","Spring",1.17,14.11,2.74,9.7546,"-1e+10","32.992","26.547","34.947"
+"HAL","Summer",7.11,13.05,3.973,7.964,"30.958","32.494","31.663","35.031"
+"HAL","Winter",5.98,8.56,5.57,8.64,"32.044","32.282","32.183","33.603"
+"HER","Fall",5.67,25.16,3.83,21.6275,"-1e+10","34.279","-1e+10","35.5099"
+"HER","Spring",1.58,16.06,1.23,20.63,"-1e+10","35.921","-1e+10","36.418"
+"HER","Summer",7.11,23.545,3.35,22.12113,"9.8712","32.537","23.9704","35.062"
+"HER","Winter",1.3,11.815,1.36,13.73,"-1e+10","34.816","-1e+10","35.387"
+"LSK","Fall",8.84,28.36,4.67,23.86,"-1e+10","35.885","-1e+10","35.932"
+"LSK","Spring",1.087,19.11,1.71,17.723,"-1e+10","36.406","-1e+10","35.772"
+"LSK","Summer",7.11,25.8,-1e+10,24.26,"26.2394","32.94","26.8188","35.576"
+"LSK","Winter",1.21,14.92,1.36,15.72,"-1e+10","35.816","-1e+10","35.845"
+"MAK","Fall",8.361,25.73,4.95,22.53,"-1e+10","35.361","28.4369","35.932"
+"MAK","Spring",1.21,20.12,2.93,14.66,"-1e+10","36.43","28.215","35.728"
+"MAK","Summer",11.08,23.61,4.22,22.47,"29.137","32.65","24.8037","33.819"
+"MAK","Winter",3.06,12.8,3.1,15.77,"-1e+10","35.231","-1e+10","35.753"
+"OHK","Fall",11.32,29.44,4.314,24.54,"-1e+10","36.133","32.234","36.426"
+"OHK","Spring",3.69,22.7,4.2548,20.14,"-1e+10","36.579","32.338","36.463"
+"OHK","Summer",Inf,-Inf,Inf,-Inf,"NA","NA","NA","NA"
+"OHK","Winter",3.48,18.84,6.34,14.3,"-1e+10","36.409","32.741","35.781"
+"OPT","Fall",8.32,27.59,3.83,19.85,"-1e+10","35.391","31.119","35.688"
+"OPT","Spring",1.58,16.69,1.27,13.98,"-1e+10","35.968","26.123","35.772"
+"OPT","Summer",7.11,23.95,3.61,18.75,"29.597","32.94","31.125","34.741"
+"OPT","Winter",1.3,9.24,1.4,14.01,"-1e+10","34.199","-1e+10","35.753"
+"PLA","Fall",5.67,19.94,3.83,17.174,"-1e+10","34.797","31.041","35.588"
+"PLA","Spring",1.17,14.11,1.35,17.723,"-1e+10","33.864","-1e+10","35.573"
+"PLA","Summer",7.11,20.97,3.35,13.578,"30.545","32.537","31.119","35.031"
+"PLA","Winter",2.22,9.76,3.32,13.03,"-1e+10","33.673","32.033","35.637"
+"POL","Fall",6.26,22.03,4.59,18.56,"-1e+10","35.168","-1e+10","35.345"
+"POL","Spring",1.087,12.25,2.18,17.723,"-1e+10","33.924","-1e+10","36.517"
+"POL","Summer",7.11,20.97,3.35,21.233,"30.455","32.367","26.733","34.717"
+"POL","Winter",3.59,10.96,2.78,12.14,"32.101","35.26","32.272","35.512"
+"QHG","Fall",11.64,20.14,7.48,20.51,"30.695","32.382","30.904","33.592"
+"QHG","Spring",5.28,9.75,2.93,10.101,"29.161","33.481","30.747","34.185"
+"QHG","Summer",8.67,10.38,5.05,7.63,"31.207","32.494","31.62","32.286"
+"QHG","Winter",3.94,3.94,5.72,10.53,"32.421","32.421","31.772","34.461"
+"RED","Fall",5.67,20.68,3.83,18.53,"-1e+10","34.99","31.487","35.754"
+"RED","Spring",1.68,14.11,2.32,13.98,"-1e+10","33.923","31.252","35.583"
+"RED","Summer",7.11,20.24,3.35,10.83,"30.57","32.537","31.513","35.085"
+"RED","Winter",4.37,10.24,7.04,14,"32.282","33.906","32.183","35.638"
+"RHK","Fall",5.67,27.59,3.83,22.5603,"-1e+10","35.961","-1e+10","36.107"
+"RHK","Spring",1.17,20.12,1.71,18.79,"-1e+10","36.43","9.631","36.148"
+"RHK","Summer",7.11,24.41,-1e+10,24.2445,"23.3206","33.34","26.8188","35.29"
+"RHK","Winter",1.21,19.75,1.36,19.64,"-1e+10","36.466","-1e+10","36.361"
+"SAL","Spring",Inf,-Inf,Inf,-Inf,"NA","NA","NA","NA"
+"SAL","Winter",Inf,-Inf,Inf,-Inf,"NA","NA","NA","NA"
+"SCU","Fall",9.53,29.57,6.2,28.51,"-1e+10","36.261","-1e+10","36.459"
+"SCU","Spring",3.18,22.45,3.35,22.67,"-1e+10","36.606","26.123","36.741"
+"SCU","Summer",8.511,25.9152,-1e+10,26.63,"0.0669","32.5","0.0697","36.18"
+"SCU","Winter",3.45,19.75,4.3,19.64,"-1e+10","36.466","-1e+10","36.361"
+"SDF","Fall",17.45,25.97,12.26,25.59,"-1e+10","31.319","25.2287","35.505"
+"SDF","Spring",6.39,9.47,5.33,20.74,"22.29","32.171","29.801","35.501"
+"SDF","Summer",10.38,20.44,7.39,16.1,"29.15","31.455","24.8037","32.683"
+"SDF","Winter",6.24,8.37,5.92,13.75,"32.683","33.786","31.772","35.726"
+"SHK","Fall",5.67,29.4,3.83,28.51,"-1e+10","36.133","-1e+10","36.36"
+"SHK","Spring",1.087,22.37,2,20.14,"-1e+10","36.561","-1e+10","36.517"
+"SHK","Summer",7.11,26.88,-1e+10,22.46,"26.238","33.34","26.8188","35.49"
+"SHK","Winter",1.55,18.78,1.45,15.9,"-1e+10","36.325","-1e+10","36.043"
+"SK","Fall",5.67,29.76,3.83,28.28,"-1e+10","36.359","-1e+10","36.524"
+"SK","Spring",1.087,24.41,2.16,22.55,"-1e+10","36.579","-1e+10","36.554"
+"SK","Summer",7.11,27.46,-1e+10,23.45,"0.0669","33.59","0.0697","35.2"
+"SK","Winter",2.37,19.75,1.76,17.76,"-1e+10","36.466","31.436","36.342"
+"SUF","Fall",10.13,29.27,6.2,28.22,"-1e+10","36.34","-1e+10","36.459"
+"SUF","Spring",2.75,23.21,2.1,22.16,"-1e+10","36.606","9.631","36.741"
+"SUF","Summer",10.101,27.37,-1e+10,26.63,"0.0669","34.55","0.0697","36.21"
+"SUF","Winter",1.55,19.4,1.74,19.64,"-1e+10","36.466","-1e+10","36.361"
+"TAU","Fall",10.61,23.67,6.98,23.37,"-1e+10","32.726","-1e+10","33.346"
+"TAU","Spring",2.51,14.8081,2.03,14.133,"11.7212","32.508","25.5215","34.355"
+"TAU","Summer",8.842,27.37,3.973,26.55,"26.238","34.55","26.733","36.21"
+"TAU","Winter",3.01,7.96,1.61,8.91,"30.83","33.582","30.44","33.818"
+"TYL","Fall",22.08,27.16,7.68,22.66,"32.245","36.113","32.829","36.459"
+"TYL","Spring",6.42,20.12,8.91,13.83,"32.903","36.43","33.941","35.719"
+"TYL","Winter",9.91,18.25,11.14,14.01,"34.276","36.362","34.651","35.62"
+"WHK","Fall",8.15,29.4,4.3,22.61,"-1e+10","35.862","30.904","36.348"
+"WHK","Spring",1.17,19.19,2.54,18.79,"-1e+10","36.361","-1e+10","36.148"
+"WHK","Summer",7.11,23.95,3.35,15.67,"30.5453","32.537","31.125","35.085"
+"WHK","Winter",2.99,18.84,3.59,14.01,"-1e+10","36.409","-1e+10","35.743"
+"WIF","Fall",8.015,24.01,3.83,23.12,"-1e+10","35.209","-1e+10","35.44"
+"WIF","Spring",1.64,15.811,1.23,14.133,"-1e+10","33.923","23.8486","35.489"
+"WIF","Summer",7.11,25.9152,-1e+10,24.26,"9.8712","32.94","23.8486","37.3033"
+"WIF","Winter",1.3,9.59,1.36,11.25,"-1e+10","34.019","29.941","34.836"
+"WPF","Fall",9.18,28.58,5.34,26.7,"-1e+10","35.772","-1e+10","35.331"
+"WPF","Spring",1.17,17.804,1.71,22.55,"-1e+10","35.921","9.631","36.3209"
+"WPF","Summer",7.11,25.8,-1e+10,26.4927,"0.0669","32.94","0.0697","36.11"
+"WPF","Winter",1.21,10.36,1.36,12.27,"-1e+10","35.281","-1e+10","35.282"
+"WSK","Fall",8.7,23.77,4.74,21.88,"-1e+10","35.874","-1e+10","35.847"
+"WSK","Spring",1.087,20.0199,1.27,18.91,"-1e+10","36.3064","-1e+10","36.431"
+"WSK","Summer",7.11,21.244,3.973,19.42,"28.796","32.532","29.095","35.031"
+"WSK","Winter",1.21,12.6,1.36,13.73,"-1e+10","35.273","-1e+10","35.637"
+"WTF","Fall",5.67,26.41,3.83,18.53,"-1e+10","35.961","31.536","35.894"
+"WTF","Spring",2.31,20.0199,2.32,14.26,"-1e+10","36.406","30.691","35.772"
+"WTF","Summer",7.11,20.24,3.35,13.578,"30.57","32.537","31.639","35.031"
+"WTF","Winter",1.55,18.84,2.09,14.8,"-1e+10","36.409","-1e+10","35.845"
+"YTF","Fall",8.83,25.23,4.3,20.02,"-1e+10","35.772","31.041","35.76"
+"YTF","Spring",1.087,14.16,1.98,13.35,"-1e+10","35.328","-1e+10","35.645"
+"YTF","Summer",8.842,22.99,-1e+10,18.75,"30.455","32.94","31.125","35.031"
+"YTF","Winter",1.21,9.24,1.44,13.03,"-1e+10","34.067","-1e+10","35.637"
diff --git a/thresholds/seasonal_thresholds_NRHA_ecomon_t7_d1.csv b/thresholds/seasonal_thresholds_NRHA_ecomon_t7_d1.csv
new file mode 100644
index 0000000..3b76651
--- /dev/null
+++ b/thresholds/seasonal_thresholds_NRHA_ecomon_t7_d1.csv
@@ -0,0 +1,130 @@
+"Code","SEASON","min_bottom_temp","max_bottom_temp","min_surface_temp","max_surface_temp","min_bottom_sal","max_bottom_sal","min_surface_sal","max_surface_sal"
+"BLF","Fall",10.29,28.08,7.82,27.05,"-1e+10","36.338","-1e+10","36.385"
+"BLF","Spring",5.78,19.68,5.94,20.31,"-1e+10","36.447","29.101","36.389"
+"BLF","Summer",16.79,23.61,13.47,22.4753,"26.213","32.13","27.143","33.708"
+"BLF","Winter",6.72,19.75,8.36,17.64,"-1e+10","36.362","32.803","36.312"
+"BSB","Fall",9.68,28.8,7,27.53,"-1e+10","36.316","-1e+10","36.401"
+"BSB","Spring",3.44,22.45,3.25,21,"-1e+10","36.43","26.2028","36.404"
+"BSB","Summer",14.52,24.94985,7.16,22.12113,"26.213","32.13","27.4235","33.1385"
+"BSB","Winter",3.15,19.75,4.31,18.26,"-1e+10","36.407","-1e+10","36.365"
+"BUT","Fall",7.93,29.23,4.72,27.5,"-1e+10","36.359","-1e+10","36.509"
+"BUT","Spring",2.53,24.12,3.8,21.12,"-1e+10","36.578","-1e+10","36.489"
+"BUT","Summer",10.47,25.05,4.83,22.12113,"8.5465","32.267","21.6008","33.708"
+"BUT","Winter",3.15,20.27,4.68,15.9,"-1e+10","36.466","-1e+10","36.043"
+"COD","Fall",8.88,23.08,4.41,17.89,"-1e+10","33.685","-1e+10","35.286"
+"COD","Spring",1.17,13.17,1.35,12.51,"-1e+10","34.085","29.6119","35.5"
+"COD","Summer",5.85,20.97,3.35,11.952,"30.603","32.366","31.641","34.818"
+"COD","Winter",0.88,9.12,1.44,12.56,"31.24","33.128","30.729","35.402"
+"DOG","Fall",8.7,27.66,4.41,22.91,"-1e+10","35.819","-1e+10","35.82"
+"DOG","Spring",1.21,22.01,2.39,17.34,"-1e+10","36.578","-1e+10","36.114"
+"DOG","Summer",5.85,22.04,3.61,13.47,"30.545","32.367","31.119","34.818"
+"DOG","Winter",2.292,19.47,2.09,16.62,"-1e+10","36.478","-1e+10","36.255"
+"DRM","Fall",13.26,29.04,9.96,28.33,"-1e+10","36.338","-1e+10","36.455"
+"DRM","Spring",4.54,23.69,4.64,19.47,"-1e+10","36.578","-1e+10","36.428"
+"DRM","Summer",16.67,23.763,8.883,23.15,"8.5465","34.279","21.6008","34.678"
+"DRM","Winter",4.63,12.15,4.15,15.9,"-1e+10","35.231","31.165","36.043"
+"FDE","Fall",8.88,25.9,4.41,26.6,"-1e+10","35.806","27.4185","36.168"
+"FDE","Spring",1.68,16.7,1.27,15.01,"-1e+10","36.031","-1e+10","35.7"
+"FDE","Summer",5.85,24.94985,3.63,22.12113,"8.5465","32.367","21.6008","34.114"
+"FDE","Winter",0.88,12.06,1.44,14.94,"-1e+10","35.072","30.18","35.771"
+"HAD","Fall",8.88,27.59,4.64,18.58,"-1e+10","35.819","-1e+10","35.646"
+"HAD","Spring",1.17,19.16,2.69,13.64,"-1e+10","36.089","-1e+10","35.568"
+"HAD","Summer",10.47,19.74,4.22,9,"30.603","32.366","31.551","35.008"
+"HAD","Winter",1.55,12.39,3.03,12.81,"-1e+10","35.169","32.046","35.402"
+"HAL","Fall",9.43,16.27,5.65,13.61,"31.065","33.64","31.715","35.001"
+"HAL","Spring",1.17,11.63,2.55,9.6,"-1e+10","33.298","31.691","34.556"
+"HAL","Summer",Inf,-Inf,6.47,6.65,"NA","NA","32.352","32.403"
+"HAL","Winter",5.98,5.98,5.57,7.91,"32.044","32.044","32.376","33.603"
+"HER","Fall",8.7,25.16,4.41,19.9,"-1e+10","34.55","31.031","35.241"
+"HER","Spring",1.66,13.17,1.23,14.36,"-1e+10","35.393","-1e+10","35.645"
+"HER","Summer",5.85,20.97,3.35,20.8659,"30.176","32.367","30.497","34.818"
+"HER","Winter",0.88,9.76,1.44,13.16,"-1e+10","34.199","-1e+10","35.128"
+"LSK","Fall",9.46,28.36,4.72,23.45,"-1e+10","35.819","-1e+10","35.894"
+"LSK","Spring",1.17,19.16,1.71,16.27,"-1e+10","36.114","-1e+10","35.73"
+"LSK","Summer",11.33,25.05,4.6,21.75,"26.213","31.73","27.4235","33.708"
+"LSK","Winter",0.88,14.92,0.32,15.72,"-1e+10","35.816","-1e+10","35.854"
+"MAK","Fall",8.7,23.42,4.95,22.53,"-1e+10","34.678","30.359","35.728"
+"MAK","Spring",1.21,17.02,2.48,14.66,"-1e+10","36.031","-1e+10","35.838"
+"MAK","Summer",13.59,22.04,4.22,20.66,"29.22","31.805","28.898","33.354"
+"MAK","Winter",3.06,11.4,3.76,14.19,"-1e+10","35.231","31.165","35.586"
+"OHK","Fall",11.25,29.21,6.22,15.59,"31.342","35.833","32.384","35.956"
+"OHK","Spring",3.87,22.7,4.63,15.22,"-1e+10","36.579","-1e+10","35.845"
+"OHK","Summer",Inf,-Inf,Inf,-Inf,"NA","NA","NA","NA"
+"OHK","Winter",4.56,18.84,6.34,14.79,"-1e+10","36.409","32.566","35.862"
+"OPT","Fall",9.46,27.59,4.41,19.85,"27.587","35.017","31.187","35.688"
+"OPT","Spring",1.66,12.74,1.27,13.64,"-1e+10","35.321","-1e+10","35.638"
+"OPT","Summer",5.85,19.74,3.35,11.952,"30.57","32.366","31.551","34.741"
+"OPT","Winter",1.3,10.1,1.44,14.01,"-1e+10","34.199","31.662","35.415"
+"PLA","Fall",8.7,18.53,4.41,16.19,"-1e+10","34.176","31.208","35.56"
+"PLA","Spring",1.21,12.74,1.35,10.84,"-1e+10","33.864","30.544","35.14"
+"PLA","Summer",5.85,22.04,3.35,10.28,"30.545","32.366","31.119","34.741"
+"PLA","Winter",2.476,9.76,3.32,11.57,"31.522","33.481","32.046","34.99"
+"POL","Fall",9.12,22.84,4.77,17.14,"-1e+10","33.64","-1e+10","35.286"
+"POL","Spring",1.21,12.25,2.18,11.23,"-1e+10","33.923","30.577","35.305"
+"POL","Summer",5.85,20.97,3.35,8.883,"30.596","32.367","31.551","34.114"
+"POL","Winter",2.552,10.96,2.78,12.14,"31.522","35.26","32.197","35.512"
+"QHG","Fall",11.64,18.7199,7.48,13.05,"30.9983","32.321","32.453","33.277"
+"QHG","Spring",6.26,9.75,3.77,8.36,"31.507","33.085","32.046","34.185"
+"QHG","Summer",Inf,-Inf,7.1,7.1,"NA","NA","32.198","32.198"
+"QHG","Winter",8.72,8.72,9.47,9.47,"33.751","33.751","34.1","34.1"
+"RED","Fall",8.7,22.29,4.55,14.72,"-1e+10","34.783","31.759","35.58"
+"RED","Spring",1.68,12.25,2.34,11.23,"-1e+10","33.923","31.43","35.286"
+"RED","Summer",10.26,20.24,3.35,9.69,"30.57","32.367","31.943","35.008"
+"RED","Winter",8.88,9.76,8.03,9.02,"32.361","33.332","32.197","34.161"
+"RHK","Fall",8.7,27.59,4.41,22.0707,"-1e+10","35.819","-1e+10","35.956"
+"RHK","Spring",1.64,20.12,1.71,16.55,"-1e+10","36.43","-1e+10","35.845"
+"RHK","Summer",5.85,22.3124,3.35,21.75,"25.2718","32.367","27.3438","34.741"
+"RHK","Winter",1.21,19.75,1.74,17.64,"-1e+10","36.466","-1e+10","36.312"
+"SAL","Spring",Inf,-Inf,Inf,-Inf,"NA","NA","NA","NA"
+"SAL","Winter",Inf,-Inf,Inf,-Inf,"NA","NA","NA","NA"
+"SCU","Fall",9.49,29.23,7.75,28.33,"-1e+10","36.338","-1e+10","36.5"
+"SCU","Spring",4.25,23.69,4.12,20.88,"-1e+10","36.448","26.2028","36.454"
+"SCU","Summer",16.67,24.94985,8.883,22.4753,"8.5465","32.13","21.6008","33.708"
+"SCU","Winter",4.63,20.27,4.15,18.26,"-1e+10","36.478","30.907","36.365"
+"SDF","Fall",22.92,22.92,9.38,14.08,"34.645","34.645","35.175","35.505"
+"SDF","Spring",6.05,8.83,5.33,10.76,"22.05","32.586","26.995","34.608"
+"SDF","Summer",Inf,-Inf,Inf,-Inf,"NA","NA","NA","NA"
+"SDF","Winter",6.24,8.22,5.92,12.79,"32.683","33.624","32.703","35.243"
+"SHK","Fall",7.93,29.21,4.41,24.46,"-1e+10","36.061","-1e+10","35.956"
+"SHK","Spring",1.21,22.01,1.8,16.42,"-1e+10","36.578","-1e+10","36.2"
+"SHK","Summer",5.85,25.05,3.35,16.2028,"25.2718","32.367","27.3438","35.008"
+"SHK","Winter",1.3,19.02,1.74,15.9,"-1e+10","36.362","-1e+10","36.043"
+"SK","Fall",8.7,29.76,4.55,27.5,"-1e+10","36.359","-1e+10","36.5"
+"SK","Spring",1.17,24.12,2.18,20.73,"-1e+10","36.579","-1e+10","36.464"
+"SK","Summer",10.26,25.05,3.35,21.75,"28.68","32.367","27.143","34.818"
+"SK","Winter",2.292,20.27,3.32,18.26,"-1e+10","36.478","30.907","36.365"
+"SUF","Fall",10.52,29.4,7.59,28.22,"-1e+10","36.34","-1e+10","36.426"
+"SUF","Spring",2.83,23.69,1.8,20.73,"-1e+10","36.558","-1e+10","36.554"
+"SUF","Summer",16.67,24.94985,8.883,22.12113,"26.68","32.13","27.143","33.1385"
+"SUF","Winter",1.55,19.47,1.74,18.26,"-1e+10","36.478","-1e+10","36.365"
+"TAU","Fall",11.19,23.81,10.51,23.03,"-1e+10","32.293","-1e+10","32.896"
+"TAU","Spring",2.89,12.646,2.84,11.3311,"-1e+10","32.417","26.2028","33.353"
+"TAU","Summer",20.8718,24.94985,16.0121,22.4753,"27.0051","30.57576","27.2897","31.25076"
+"TAU","Winter",3.42,7.96,3.24,8.91,"31.986","33.582","31.911","33.818"
+"TYL","Fall",23.18,28.51,7.95,17.95,"30.846","33.737","33.118","36.359"
+"TYL","Spring",6.42,12.84,8.91,13.83,"32.903","35.773","33.941","35.719"
+"TYL","Winter",17.35,18.62,12.07,15.16,"-1e+10","36.407","35.5","35.965"
+"WHK","Fall",8.7,26.68,4.41,18.01,"-1e+10","35.819","31.264","35.646"
+"WHK","Spring",1.64,16.97,2.92,15.22,"-1e+10","35.83","29.206","35.845"
+"WHK","Summer",5.85,22.1631,3.35,13.956,"16.9258","32.367","30.7359","34.741"
+"WHK","Winter",3.15,18.84,4.32,13.82,"-1e+10","36.409","32.34","35.59"
+"WIF","Fall",8.88,24.47,4.95,23.12,"-1e+10","35.209","-1e+10","35.024"
+"WIF","Spring",1.64,13.17,1.23,11.3311,"-1e+10","33.923","-1e+10","35.187"
+"WIF","Summer",5.85,23.61,4.58,22.4753,"16.9258","32.267","27.2897","33.708"
+"WIF","Winter",0.88,9.24,0.32,9.23,"-1e+10","33.962","30.18","34.302"
+"WPF","Fall",9.18,28.58,6.1,26.7,"-1e+10","35.772","-1e+10","35.331"
+"WPF","Spring",1.41,19.16,1.71,16.679,"-1e+10","36.089","-1e+10","35.587"
+"WPF","Summer",13.59,23.61,5.93,21.75,"25.2718","32.13","27.143","33.708"
+"WPF","Winter",0.88,10.36,0.32,10.95,"-1e+10","35.281","-1e+10","35.182"
+"WSK","Fall",8.7,23.77,5.15,21.88,"-1e+10","35.819","-1e+10","35.764"
+"WSK","Spring",1.17,19.16,1.27,14.85,"-1e+10","36.089","-1e+10","35.73"
+"WSK","Summer",13.28,19.74,6.13,13.47,"30.695","30.988","31.501","33.708"
+"WSK","Winter",0.88,12.39,0.32,13.43,"-1e+10","35.169","30.18","35.452"
+"WTF","Fall",8.7,27.17,4.41,18.33,"-1e+10","35.627","31.536","35.894"
+"WTF","Spring",2.02,19.16,2.34,13.77,"-1e+10","36.406","-1e+10","35.73"
+"WTF","Summer",5.85,20.24,3.35,10.17,"30.57","32.367","31.91","34.741"
+"WTF","Winter",1.55,18.84,2.09,14.46,"-1e+10","36.409","31.61","35.854"
+"YTF","Fall",9.06,25.21,4.72,20.02,"20.615","35.772","31.045","35.464"
+"YTF","Spring",1.17,13.17,1.98,14.15,"-1e+10","35.328","-1e+10","35.645"
+"YTF","Summer",10.47,22.04,4.58,11.952,"30.545","32.366","31.551","32.896"
+"YTF","Winter",1.21,9.24,0.32,11.57,"-1e+10","34.067","-1e+10","34.99"