diff --git a/.github/workflows/test-coverage.yaml b/.github/workflows/test-coverage.yaml
index 2c5bb50..f190d51 100644
--- a/.github/workflows/test-coverage.yaml
+++ b/.github/workflows/test-coverage.yaml
@@ -44,7 +44,7 @@ jobs:
 
       - name: Upload test results
         if: failure()
-        uses: actions/upload-artifact@v3
+        uses: actions/upload-artifact@v4
         with:
           name: coverage-test-failures
           path: ${{ runner.temp }}/package
diff --git a/DESCRIPTION b/DESCRIPTION
index d0f802c..b75b439 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,20 +1,26 @@
 Package: matilda
 Type: Package
 Title: A Probabilistic Framework for the Hector Simple Climate Model
-Version: 0.1.0
-Author: c(person("Joseph", "Brown",
-    email = "joseph.brown@pnnl.gov",
-    role = "aut",
-    comment = c(ORCID = "0000-0002-3828-4729")),
+Version: 1.0.0
+Authors@R: c(
+    person("Joseph", "Brown",
+        email = "joseph.brown@pnnl.gov",
+        role = c("aut", "cre"),
+        comment = c(ORCID = "0000-0002-3828-4729")),
     person("Ben", "Bond-Lamberty",
-    email = "bondlamberty@pnnl.gov",
-    role = "aut",
-    comment = c(ORCID = "0000-0001-9525-4633")),
-    person("Leeya", "Pressburger")
-    email = "leeya.pressburger@pnnl.gov",
-    role = "aut",
-    comment = c(ORCID = "0000-0002-6850-2504")))
-Maintainer: Joseph Brown <joseph.brown@pnnl.gov>
+        email = "bondlamberty@pnnl.gov",
+        role = "aut",
+        comment = c(ORCID = "0000-0001-9525-4633")),
+    person("Leeya", "Pressburger",
+        email = "leeya.pressburger@pnnl.gov",
+        role = "aut",
+        comment = c(ORCID = "0000-0002-6850-2504")),
+    person("Kalyn", "Dorheim",
+        email = "kalyn.dorheim@pnnl.gov",
+        role = "ctb",
+        comment = c(ORCID = "0000-0001-8093-8397")),
+    person("Melat", "Ghebreselassie",
+        role = "ctb"))
 Description: Provides a probabilistic framework for climate variable projections
     using the Hector simple climate model. Using this framework you can change 
     parameters, run the model, retrieve targeted model outputs, and quantify 
diff --git a/NAMESPACE b/NAMESPACE
index f3ec2b5..887ffb5 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -5,6 +5,7 @@ S3method(print,h_metric)
 export(RMSE_calc)
 export(criterion_co2_obs)
 export(criterion_gmst_obs)
+export(criterion_ocean_c_uptake_obs)
 export(generate_params)
 export(hector_matrix)
 export(is.criterion)
diff --git a/R/example_hector_result.R b/R/example_hector_result.R
index 624d497..138353a 100644
--- a/R/example_hector_result.R
+++ b/R/example_hector_result.R
@@ -4,7 +4,7 @@
 #' a single hector. The model results include the GMST() Hector variable for
 #' the years 1745:2300.
 #'
-#' @format \code{hector_result} {is a data frame with 556 rows and 5 columns:}
+#' @format hector_result is a data frame with 556 rows and 5 columns:
 #' \describe{
 #'   \item{scenario}{Scenario being used for the analysis}
 #'   \item{year}{Years}
diff --git a/R/example_matilda_result.R b/R/example_matilda_result.R
index 8339d98..abab5e1 100644
--- a/R/example_matilda_result.R
+++ b/R/example_matilda_result.R
@@ -7,7 +7,7 @@
 #' This ensures that data being saved from the core includes the data needed to
 #' score the Hector runs.
 #'
-#' @format \code{matilda_result} {is a data frame with 2820 rows and 6 columns:}
+#' @format matilda_result is a data frame with 2820 rows and 6 columns:
 #' \describe{
 #'   \item{scenario}{Scenario being used for the analysis}
 #'   \item{year}{Years}
diff --git a/R/new_criterion.R b/R/new_criterion.R
index 850985f..2651676 100644
--- a/R/new_criterion.R
+++ b/R/new_criterion.R
@@ -84,9 +84,10 @@ is.criterion <- function(x) {
 #' @examples
 #' criterion_co2_obs()
 criterion_co2_obs <- function() {
+  get("observed_co2_data", envir = asNamespace("matilda"))
   new_criterion(CONCENTRATIONS_CO2(),
-    years = observed_data_co2$year,
-    obs_values = observed_data_co2$co2_ppm
+    years = observed_co2_data$year,
+    obs_values = observed_co2_data$co2_ppm
   )
 }
 
@@ -105,8 +106,30 @@ criterion_co2_obs <- function() {
 #' @examples
 #' criterion_gmst_obs()
 criterion_gmst_obs <- function() {
+  get("observed_gmst_data", envir = asNamespace("matilda"))
   new_criterion(GMST(),
-    years = adjusted_gmst_data$year,
-    obs_values = adjusted_gmst_data$anomaly_C
+    years = observed_gmst_data$year,
+    obs_values = observed_gmst_data$anomaly_C
+  )
+}
+
+
+#' Screening criterion using Global Carbon Project ocean carbon uptake
+#'
+#' @description This is a criterion identifier for screening Hector runs using
+#' observed ocean carbon uptake from the Global Carbon Project's 2023 Global Carbon Budget.
+#'
+#' @return A criterion identifier using GCP ocean carbon uptake
+#' @note This function uses ocean carbon uptake data from
+#' \href{ https://globalcarbonbudgetdata.org/latest-data.html}{ https://globalcarbonbudgetdata.org/latest-data.html}
+#' @export
+#'
+#' @examples
+#' criterion_ocean_c_uptake_obs()
+criterion_ocean_c_uptake_obs <- function() {
+  get("observed_ocean_c_uptake_data", envir = asNamespace("matilda"))
+  new_criterion(OCEAN_UPTAKE(),
+                years = observed_ocean_c_uptake_data$year,
+                obs_values = observed_ocean_c_uptake_data$ocean_uptake
   )
 }
diff --git a/R/score_runs.R b/R/score_runs.R
index 99eee66..8c60045 100644
--- a/R/score_runs.R
+++ b/R/score_runs.R
@@ -50,6 +50,9 @@ score_runs <- function(x, criterion, score_function, ...) {
     stop("criterion year and variable combination not represented in data")
   }
 
+  # retains run_number from x
+  run_numbers <- unique(x_subset$run_number)
+
   # converts x_subset to matrix - columns are vectors of values for each model iteration
   model_matrix <- hector_matrix(x_subset, columns = "value")
 
@@ -69,6 +72,6 @@ score_runs <- function(x, criterion, score_function, ...) {
 
   return(data.frame(
     weights = score_norm,
-    run_number = 1:length(scores)
+    run_number = run_numbers
   ))
 }
diff --git a/R/sysdata.rda b/R/sysdata.rda
index b507a40..cbaa4bc 100644
Binary files a/R/sysdata.rda and b/R/sysdata.rda differ
diff --git a/data-raw/Had_temp_data-adjusted.R b/data-raw/Had_temp_data-adjusted.R
deleted file mode 100644
index 16ff305..0000000
--- a/data-raw/Had_temp_data-adjusted.R
+++ /dev/null
@@ -1,57 +0,0 @@
-## code to prepare 'adjusted_gmst_data'
-
-## HADCRUT data as observed temperature anomaly values for scoring Hector runs.
-## Temperature anomaly data were downloaded on 05/22/2023 from
-## https://www.metoffice.gov.uk/hadobs/hadcrut5/data/current/download.html
-
-# Reading in HADCRUT5 global temperature anomaly data
-observed_data_gmst <- read.csv("data-raw/temp_anomaly_annmean_hadcrut5.csv")
-
-# rename 'anomaly' to anomaly_C' to give unit information
-colnames(observed_data_gmst)[colnames(observed_data_gmst) == "anomaly"] <- "temperature_C"
-
-# remove confidence bounds in df - leaving only year and mean anomaly cols
-observed_data_gmst$Lower.confidence.limit..2.5.. <- NULL
-observed_data_gmst$Upper.confidence.limit..97.5.. <- NULL
-
-# Subset temperature data to include data from 1959-2023
-subset_observed_gmst <- subset(
-  observed_data_gmst,
-  year >= 1950,
-  year <= 2023
-)
-
-#' Normalizing variables to reflect specific reference period
-#'
-#' @param observed_data Observed data frame. This function is specifically for adjusting observed temperature.
-#' @param modeled_data Data from a Hector result that contains the global mean surface temperature.
-#' @param reference_start_year Start year of reference period
-#' @param reference_end_year End year of reference period
-#'
-#' @return A data frame of normalized temperature values
-#'
-normalize_temperature <- function(observed_data, modeled_data, reference_start_year, reference_end_year) {
-  # Filter modeled data for the reference period
-  modeled_reference_period <- subset(
-    modeled_data,
-    year >= reference_start_year &
-      year <= reference_end_year
-  )
-
-  # Calculate the mean anomaly_C for the modeled reference period
-  mean_modeled_anomaly <- mean(modeled_reference_period$value)
-
-  # Calculate normalized anomaly_C for each year in the observed data
-  normalized_anomaly <- observed_data$temperature_C + mean_modeled_anomaly
-
-  # Create a new data frame with the normalized data
-  normalized_data <- data.frame(year = observed_data$year, anomaly_C = normalized_anomaly)
-
-  return(normalized_data)
-}
-
-# producing adjusted gmst values using a hector result
-adjusted_gmst_data <- normalize_temperature(subset_observed_gmst, matilda:::hector_result, 1961, 1990)
-
-# Add observed gmst data (adjusted) for internal use
-usethis::use_data(adjusted_gmst_data, observed_data_co2, overwrite = TRUE, internal = TRUE)
diff --git a/data-raw/MaunaLoa_co2_data.R b/data-raw/MaunaLoa_co2_data.R
deleted file mode 100644
index 06e13da..0000000
--- a/data-raw/MaunaLoa_co2_data.R
+++ /dev/null
@@ -1,13 +0,0 @@
-## Mauna Loa data as the observed CO2 values for scoring Hector runs.
-
-## Co2 data were download on 01/03/2023 from
-## https://gml.noaa.gov/ccgg/trends/data.html}{https://gml.noaa.gov/ccgg/trends/data.html
-
-# Reading in Mauna Loa annual mean CO2 data
-observed_data_co2 <- read.csv("data-raw/co2_annmean_maunaloa.csv")
-
-# rename 'mean' to co2_ppm to represent unit of original CO2 measurements
-colnames(observed_data_co2)[colnames(observed_data_co2) == "mean"] <- "co2_ppm"
-
-# remove 'unc' (standard deviation) column
-observed_data_co2$unc <- NULL
diff --git a/data-raw/co2_annmean_maunaloa.csv b/data-raw/csv/co2_maunaloa_raw.csv
similarity index 100%
rename from data-raw/co2_annmean_maunaloa.csv
rename to data-raw/csv/co2_maunaloa_raw.csv
diff --git a/data-raw/csv/gcp_data.csv b/data-raw/csv/gcp_data.csv
new file mode 100644
index 0000000..ba0007c
--- /dev/null
+++ b/data-raw/csv/gcp_data.csv
@@ -0,0 +1,274 @@
+Year,fossil_emissions_excluding_carbonation,land-use_change_emissions,atmospheric_growth,ocean_sink,land_sink,cement_carbonation_sink,budget_imbalance
+1750,0.00253983,,,,0.062352581,,
+1751,0.002567475,,-0.07434,,-0.41839894,,
+1752,0.002594205,,-0.0707292,,-0.274563031,,
+1753,0.00262295,,-0.0677556,,-0.17896831,,
+1754,0.002656545,,-0.0641448,,-0.067778282,,
+1755,0.00267289,,-0.05841,,-0.03785081,,
+1756,0.002704671,,-0.0503388,,0.436237802,,
+1757,0.002754895,,-0.0405684,,0.629884515,,
+1758,0.002788307,,-0.0282492,,0.100096434,,
+1759,0.00282174,,-0.0144432,,-0.53027817,,
+1760,0.002869632,,0.0019116,,-0.025867218,,
+1761,0.002933375,,0.020178,,-0.732103372,,
+1762,0.002989137,,0.0405684,,-0.578992597,,
+1763,0.003054474,,0.0628704,,0.443684818,,
+1764,0.00311053,,0.0875088,,0.292558234,,
+1765,0.003177807,,0.112572,,-0.276541822,,
+1766,0.003241288,,0.1357236,,0.308144826,,
+1767,0.003316733,,0.156114,,0.314763014,,
+1768,0.003402548,,0.1748052,,0.377013174,,
+1769,0.003488011,,0.19116,,-0.0130615,,
+1770,0.003574568,,0.204966,,0.099768021,,
+1771,0.003648878,,0.216648,,-0.322946597,,
+1772,0.003718206,,0.2264184,,-0.121361844,,
+1773,0.003768597,,0.23364,,-0.111397422,,
+1774,0.003824349,,0.2387376,,0.170308119,,
+1775,0.003913461,,0.2429856,,0.017587415,,
+1776,0.003999488,,0.2489328,,0.450914811,,
+1777,0.004082843,,0.257004,,0.787292541,,
+1778,0.004160339,,0.266562,,0.209203139,,
+1779,0.004239966,,0.278244,,-0.247731667,,
+1780,0.004333713,,0.29205,,0.33676919,,
+1781,0.004430781,,0.315414,0.07433,-0.583252889,,
+1782,0.00452537,,0.3489732,0.082155,-0.378290917,,
+1783,0.004656864,,0.3795588,0.08952,0.737490041,,
+1784,0.004768311,,0.406746,0.10207,0.654705346,,
+1785,0.004903146,,0.4303224,0.104205,-0.122695998,,
+1786,0.005034797,,0.450288,0.11673,0.563156288,,
+1787,0.005147142,,0.4666428,0.12393,0.524885627,,
+1788,0.005263709,,0.4795992,0.131105,0.607727314,,
+1789,0.00542124,,0.4889448,0.13301,0.137268837,,
+1790,0.005567165,,0.4944672,0.14019,0.547798363,,
+1791,0.005712814,,0.4968036,0.147095,-0.071528957,,
+1792,0.005985048,,0.4953168,0.14901,0.036943633,,
+1793,0.006085497,,0.4902192,0.15568,0.112543148,,
+1794,0.006146194,,0.4817232,0.15749,0.388574686,,
+1795,0.006090406,,0.4698288,0.163805,0.307312614,,
+1796,0.006037493,,0.455598,0.164995,0.769306138,,
+1797,0.006028951,,0.4400928,0.1658,1.056908393,,
+1798,0.006306203,,0.4228884,0.16673,0.482459229,,
+1799,0.007501421,,0.4027104,0.167235,-0.035725666,,
+1800,0.008951515,,0.381258,0.17277,0.521160622,,
+1801,0.008729817,,0.3623544,0.173235,-0.18002281,,
+1802,0.011001767,,0.343026,0.173365,-0.207409054,,
+1803,0.008061819,,0.3224232,0.17367,0.899272007,,
+1804,0.008670627,,0.3009708,0.17359,0.781374565,,
+1805,0.008529426,,0.2778192,0.17356,0.085135497,,
+1806,0.008925934,,0.253818,0.173505,0.587999551,,
+1807,0.009880091,,0.2287548,0.173135,0.720489195,,
+1808,0.009688261,,0.2022048,0.17295,0.806915529,,
+1809,0.009916434,,0.1748052,0.17259,0.341896918,,
+1810,0.010778469,,0.1459188,0.17252,0.570182039,,
+1811,0.010965251,,0.1159704,0.16692,-0.027572369,,
+1812,0.011139335,,0.08496,0.16627,0.093460586,,
+1813,0.011246217,,0.0526752,0.165735,0.130116315,,
+1814,0.01152474,,0.0193284,0.16021,0.412190418,,
+1815,0.011896088,,-0.0146556,0.15963,0.26643359,,
+1816,0.012417188,,-0.0443916,0.15875,0.672768778,,
+1817,0.013448669,,-0.0677556,0.15806,1.024418471,,
+1818,0.014026204,,-0.08496,0.15751,0.193716641,,
+1819,0.013900155,,-0.0957924,0.15205,-0.099521693,,
+1820,0.013846363,,-0.1000404,0.15117,0.374131638,,
+1821,0.014208338,,-0.0983412,0.15066,-0.385636174,,
+1822,0.014743917,,-0.0898452,0.149595,-0.493869763,,
+1823,0.015381486,,-0.0756144,0.144045,0.784456603,,
+1824,0.015716058,,-0.0545868,0.14338,0.537632515,,
+1825,0.016575018,,-0.0271872,0.14237,0.105323038,,
+1826,0.016752765,,0.0061596,0.14153,0.40755945,,
+1827,0.017941749,,0.0431172,0.1408,0.532438992,,
+1828,0.018199178,,0.0683928,0.140145,0.643001633,,
+1829,0.018097,,0.0883584,0.13505,0.083925847,,
+1830,0.024287188,,0.1066248,0.13455,0.358431535,,
+1831,0.022721238,,0.1225548,0.134,-0.168880458,,
+1832,0.022404901,,0.1367856,0.13352,0.061138851,,
+1833,0.022720716,,0.1488924,0.13358,0.070999754,,
+1834,0.02422574,,0.1609992,0.1337,0.359852834,,
+1835,0.026582859,,0.1796904,0.133975,0.212091248,,
+1836,0.029174262,,0.2056032,0.13412,0.61834149,,
+1837,0.028984558,,0.2374632,0.134745,0.854536444,,
+1838,0.028887899,,0.2746332,0.13561,0.236119892,,
+1839,0.029927138,,0.3166884,0.136535,-0.243767977,,
+1840,0.032425904,,0.3619296,0.132865,0.432685409,,
+1841,0.033342125,,0.409932,0.13897,-0.485134332,,
+1842,0.035313534,,0.4553856,0.140425,-0.238795869,,
+1843,0.036127017,,0.4804488,0.14147,0.765224677,,
+1844,0.038739704,,0.4802364,0.14274,0.853938142,,
+1845,0.042313689,,0.4570848,0.14418,0.023570711,,
+1846,0.043028419,,0.4222512,0.150135,0.461381388,,
+1847,0.046599592,,0.3778596,0.15123,0.604018832,,
+1848,0.047374423,,0.3234852,0.1572,0.801735245,,
+1849,0.050472707,,0.2597652,0.15831,0.298835387,,
+1850,0.053698681,0.72141,0.1892484,0.164195,0.458675687,,-0.037010406
+1851,0.054221643,0.74588,0.1255284,0.165485,0.015269005,,0.493819238
+1852,0.056608683,0.758793333,0.0696672,0.171645,0.127951804,,0.446138013
+1853,0.059257762,0.774983333,0.0097704,0.172905,0.17704103,,0.474524665
+1854,0.069605123,0.78471,-0.0390816,0.17432,0.452845826,,0.266230897
+1855,0.070989191,0.787466667,-0.0635076,0.18083,0.172527295,,0.568606162
+1856,0.075681344,0.79182,-0.0632952,0.18227,0.621389077,,0.127137467
+1857,0.076400659,0.802533333,-0.0528876,0.18896,1.048241059,,-0.305379466
+1858,0.077572368,0.8079,-0.0363204,0.19561,0.281554919,,0.444627848
+1859,0.082282005,0.821333333,-0.013806,0.1976,-0.184797392,,0.90461873
+1860,0.090328215,0.77922,0.014868,0.19967,0.367418122,,0.287592093
+1861,0.094919709,0.75109,0.050976,0.206965,-0.462547289,,1.050615998
+1862,0.096749155,0.74433,0.0947304,0.219015,-0.362563063,,0.889896818
+1863,0.103215105,0.740703333,0.146556,0.22639,0.776360252,,-0.305387814
+1864,0.111278923,0.73348,0.20709,0.228825,0.64356807,,-0.234724147
+1865,0.118138409,0.720583333,0.2742084,0.236465,0.001067713,,0.326980629
+1866,0.121875979,0.725536667,0.3349548,0.244015,0.511556663,,-0.243113817
+1867,0.130502388,0.728933333,0.3859308,0.25209,0.639050581,,-0.41763566
+1868,0.134157193,0.721026667,0.4275612,0.259695,0.734867749,,-0.566940089
+1869,0.14245475,0.7168,0.4592088,0.26803,0.282096671,,-0.150080721
+1870,0.145561749,0.77875,0.4817232,0.271125,0.576282947,,-0.404819398
+1871,0.154719261,0.806343333,0.4957416,0.27913,-0.044013425,,0.23020442
+1872,0.171206673,0.819853333,0.4974408,0.287825,0.225305839,,-0.019511632
+1873,0.181899897,0.838233333,0.4866084,0.295945,0.222742706,,0.014837124
+1874,0.170369139,0.854086667,0.463032,0.30465,0.525399277,,-0.268625471
+1875,0.184801808,0.860353333,0.4313844,0.313115,0.403345072,,-0.102689331
+1876,0.187440018,0.868613333,0.4105692,0.3218,0.798478081,,-0.474793929
+1877,0.191158406,0.88457,0.4048344,0.33546,1.095020941,,-0.759586934
+1878,0.192678373,0.900653333,0.4143924,0.34427,0.608450602,,-0.273781295
+1879,0.20632928,0.90901,0.4381812,0.35277,0.083695481,,0.240692599
+1880,0.233055789,0.920753333,0.4685544,0.36152,0.668181175,,-0.344446452
+1881,0.241141938,0.911426667,0.50445,0.370275,-0.226475748,,0.504319353
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diff --git a/data-raw/temp_anomaly_annmean_hadcrut5.csv b/data-raw/csv/gmst_hadcrut5_raw.csv
similarity index 100%
rename from data-raw/temp_anomaly_annmean_hadcrut5.csv
rename to data-raw/csv/gmst_hadcrut5_raw.csv
diff --git a/data-raw/make_internal_criterion_data.R b/data-raw/make_internal_criterion_data.R
new file mode 100644
index 0000000..99c27f2
--- /dev/null
+++ b/data-raw/make_internal_criterion_data.R
@@ -0,0 +1,111 @@
+## Ocean Carbon Uptake
+
+## code to prepare 'observed_ocean_c_uptake_data'
+
+## Ocean C uptake data from The Global Carbon Project's 2023 Global Carbon Budget.
+## Friedlingstein et al. Global Carbon Budget 2023, Earth Sys. Sci. Data, 15, 5301-5369.
+## Downloaded 03/26/2024
+## Accessed from: https://globalcarbonbudgetdata.org/latest-data.html
+
+
+# Reading in ocean carbon uptake data
+observed_data_ocean <- read.csv("data-raw/csv/gcp_data.csv", stringsAsFactors = FALSE)
+
+# Rename columns for consistency with internal package naming
+names(observed_data_ocean)[names(observed_data_ocean) == "Year"] <- "year"
+names(observed_data_ocean)[names(observed_data_ocean) == "ocean_sink"] <- "ocean_uptake"
+
+# Subset to retain only relevant columns
+observed_ocean_c_uptake_data <- observed_data_ocean[,c("year", "ocean_uptake")]
+
+# Remove any rows with missing data
+observed_ocean_c_uptake_data <- na.omit(observed_ocean_c_uptake_data)
+
+
+#### GMST
+
+## code to prepare 'observed_gmst_data'
+
+## HADCRUT data as observed temperature anomaly values for scoring Hector runs.
+## Morice et al. 2021. An updated assessment of near-surface temperature change from 1850: the HadCRUT5 data set. Journal of Geophysical Research.
+## Downloaded 05/22/2023
+## Accessed from: https://www.metoffice.gov.uk/hadobs/hadcrut5/data/current/download.html
+
+# Reading in HADCRUT5 global temperature anomaly data
+observed_data_gmst <- read.csv("data-raw/csv/gmst_hadcrut5_raw.csv")
+
+# rename 'anomaly' to anomaly_C' to give unit information
+colnames(observed_data_gmst)[colnames(observed_data_gmst) == "anomaly"] <- "temperature_C"
+
+# remove confidence bounds in df - leaving only year and mean anomaly cols
+observed_data_gmst$Lower.confidence.limit..2.5.. <- NULL
+observed_data_gmst$Upper.confidence.limit..97.5.. <- NULL
+
+# Subset temperature data to include data from 1959-2023
+subset_observed_gmst <- subset(
+  observed_data_gmst,
+  year >= 1950,
+  year <= 2023
+)
+
+#' Normalizing variables to reflect specific reference period
+#'
+#' @param observed_data Observed data frame. This function is specifically for adjusting observed temperature.
+#' @param modeled_data Data from a Hector result that contains the global mean surface temperature.
+#' @param reference_start_year Start year of reference period
+#' @param reference_end_year End year of reference period
+#'
+#' @return A data frame of normalized temperature values
+#'
+normalize_temperature <- function(observed_data, modeled_data, reference_start_year, reference_end_year) {
+  # Filter modeled data for the reference period
+  modeled_reference_period <- subset(
+    modeled_data,
+    year >= reference_start_year &
+      year <= reference_end_year
+  )
+
+  # Calculate the mean anomaly_C for the modeled reference period
+  mean_modeled_anomaly <- mean(modeled_reference_period$value)
+
+  # Calculate normalized anomaly_C for each year in the observed data
+  normalized_anomaly <- observed_data$temperature_C + mean_modeled_anomaly
+
+  # Create a new data frame with the normalized data
+  normalized_data <- data.frame(year = observed_data$year, anomaly_C = normalized_anomaly)
+
+  return(normalized_data)
+}
+
+# producing adjusted gmst values using a hector result
+
+observed_gmst_data <- normalize_temperature(subset_observed_gmst, matilda::hector_result, 1961, 1990)
+
+
+#### CO2 Concentrations
+
+## code to prepare 'observed_co2_data'
+
+## Mauna Loa data as the observed CO2 values for scoring Hector runs.
+## Lan et al. 2023. Trends in globally-averaged CO2 determined from NOAA global monitoring laboratory measurements.
+## Downloaded 01/03/2023
+## Accessed from: https://gml.noaa.gov/ccgg/trends/data.html}{https://gml.noaa.gov/ccgg/trends/data.html
+
+# Reading in Mauna Loa annual mean CO2 data
+observed_co2_data <- read.csv("data-raw/csv/co2_maunaloa_raw.csv")
+
+# rename 'mean' to co2_ppm to represent unit of original CO2 measurements
+colnames(observed_co2_data)[colnames(observed_co2_data) == "mean"] <- "co2_ppm"
+
+# remove 'unc' (standard deviation) column
+observed_co2_data$unc <- NULL
+
+
+#### Add to package data
+
+# Add observed gmst data (adjusted) for internal use
+usethis::use_data(observed_gmst_data,
+                  observed_co2_data,
+                  observed_ocean_c_uptake_data,
+                  overwrite = TRUE, internal = TRUE)
+
diff --git a/man/criterion_ocean_c_uptake_obs.Rd b/man/criterion_ocean_c_uptake_obs.Rd
new file mode 100644
index 0000000..cda92bb
--- /dev/null
+++ b/man/criterion_ocean_c_uptake_obs.Rd
@@ -0,0 +1,22 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/new_criterion.R
+\name{criterion_ocean_c_uptake_obs}
+\alias{criterion_ocean_c_uptake_obs}
+\title{Screening criterion using Global Carbon Project ocean carbon uptake}
+\usage{
+criterion_ocean_c_uptake_obs()
+}
+\value{
+A criterion identifier using GCP ocean carbon uptake
+}
+\description{
+This is a criterion identifier for screening Hector runs using
+observed ocean carbon uptake from the Global Carbon Project's 2023 Global Carbon Budget.
+}
+\note{
+This function uses ocean carbon uptake data from
+\href{ https://globalcarbonbudgetdata.org/latest-data.html}{ https://globalcarbonbudgetdata.org/latest-data.html}
+}
+\examples{
+criterion_ocean_c_uptake_obs()
+}
diff --git a/man/hector_result.Rd b/man/hector_result.Rd
index cfa4547..b6a050c 100644
--- a/man/hector_result.Rd
+++ b/man/hector_result.Rd
@@ -5,7 +5,7 @@
 \alias{hector_result}
 \title{Example Hector result data}
 \format{
-\code{hector_result} {is a data frame with 556 rows and 5 columns:}
+hector_result is a data frame with 556 rows and 5 columns:
 \describe{
   \item{scenario}{Scenario being used for the analysis}
   \item{year}{Years}
diff --git a/man/matilda_result.Rd b/man/matilda_result.Rd
index c6e5717..99d33ee 100644
--- a/man/matilda_result.Rd
+++ b/man/matilda_result.Rd
@@ -5,7 +5,7 @@
 \alias{matilda_result}
 \title{Example Matilda result data}
 \format{
-\code{matilda_result} {is a data frame with 2820 rows and 6 columns:}
+matilda_result is a data frame with 2820 rows and 6 columns:
 \describe{
   \item{scenario}{Scenario being used for the analysis}
   \item{year}{Years}
diff --git a/matilda.Rproj b/matilda.Rproj
index 270314b..07c332f 100644
--- a/matilda.Rproj
+++ b/matilda.Rproj
@@ -1,4 +1,5 @@
 Version: 1.0
+ProjectId: e0c9daaf-d52e-4240-9c96-d3cdf792c086
 
 RestoreWorkspace: Default
 SaveWorkspace: Default
diff --git a/tests/testthat/test-criterion_ocean_c_uptake_obs.R b/tests/testthat/test-criterion_ocean_c_uptake_obs.R
new file mode 100644
index 0000000..5272a9e
--- /dev/null
+++ b/tests/testthat/test-criterion_ocean_c_uptake_obs.R
@@ -0,0 +1,18 @@
+# creating new_metric object for tests
+ocean_c_uptake_crit <- criterion_ocean_c_uptake_obs()
+
+# Testing attribute class
+
+test_that("result has correct attribute class", {
+  expect_s3_class(ocean_c_uptake_crit, "criterion")
+})
+
+# Testing structure of result
+
+test_that("output has correct data structure", {
+  expect_true(is.integer(c(ocean_c_uptake_crit$year)))
+
+  expect_true(is.character(c(ocean_c_uptake_crit$var)))
+
+  expect_true(is.numeric(c(ocean_c_uptake_crit$obs_values)))
+})
diff --git a/vignettes/matilda-vignette.Rmd b/vignettes/matilda-vignette.Rmd
index 450fd65..17bc1a8 100644
--- a/vignettes/matilda-vignette.Rmd
+++ b/vignettes/matilda-vignette.Rmd
@@ -285,7 +285,7 @@ plot_co2 <- ggplot(subset(
   scale_color_gradient(high = "dodgerblue4", low = "lightblue1") +
   scale_alpha_continuous(range = c(0.1, 1)) +
   geom_line(
-    data = matilda:::observed_data_co2,
+    data = matilda:::observed_co2_data,
     aes(year, co2_ppm),
     color = "red",
     linewidth = 1