# St. Lawrence Valley, Quebec 18th and 19th Century Daily Temperature Data #---------------------------------------------------- # World Data Service for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program # National Centers for Environmental Information (NCEI) #---------------------------------------------------- # Template Version 4.0 # Encoding: UTF-8 # NOTE: Please cite original publication, NOAA Landing Page URL, dataset and publication DOIs (where available), and date accessed when using downloaded data. If there is no publication information, please cite investigator, study title, NOAA Landing Page URL, and date accessed. # # Description/Documentation lines begin with # # Data lines have no # # # NOAA_Landing_Page: https://www.ncei.noaa.gov/access/paleo-search/study/15654 # Landing_Page_Description: NOAA Landing Page of this file's parent study, which includes all study metadata. # # Study_Level_JSON_Metadata: https://www.ncei.noaa.gov/pub/data/metadata/published/paleo/json/noaa-historical-15654.json # Study_Level_JSON_Description: JSON metadata of this data file's parent study, which includes all study metadata. # # Data_Type: Historical # # Dataset_DOI: 10.25921/zpmq-sd41 # # Science_Keywords: temperature #-------------------- # Resource_Links # # Data_Download_Resource: https://www.ncei.noaa.gov/pub/data/paleo/historical/northamerica/canada/gaulthier1742-1754temp-noaa.txt # Data_Download_Description: NOAA Template File; gaulthier1742-1754temp.txt # #-------------------- # Contribution_Date # Date: 2013-12-06 #-------------------- # File_Last_Modified_Date # Date: 2024-10-30 #-------------------- # Title # Study_Name: St. Lawrence Valley, Quebec 18th and 19th Century Daily Temperature Data #-------------------- # Investigators # Investigators: Slonosky, V.C.(https://orcid.org/0000-0001-7631-387X) #-------------------- # Description_Notes_and_Keywords # Description: 18th and 19th Century historical daily temperature observations from locations in the St. Lawrence River valley, Quebec, Canada. #-------------------- # Publication # Authors: Slonosky, V.C. # Journal_Name: Geosciences Data Journal # Published_Title: Historical Climate Observations in Canada: 18th and 19th Century Daily Temperature from the St. Lawrence Valley, Quebec # Published_Date_or_Year: 2014 # Volume: 1 # Pages: 103-120 # Issue: 2 # Report_Number: # DOI: 10.1002/gdj3.11 # Full_Citation: # Abstract: Daily observations of weather and climate for the province of Quebec, Canada, start in the 18th century and continue to the present day. Daily temperature observations from 12 observers ranging from 1742 to 1873 are described here. The frequency distributions of the temperature observations from each of the historical weather journals are examined for data quality and consistency. Adjustments for differing types of exposures, particularly north wall exposures, are developed. It is shown that examination of the daily data distribution can be used to infer information concerning the instruments used and likely exposure in the absence of metadata. Comparisons of the relative frequency distributions of historical and modern hourly observations are used to assess the reliability of the daily historical temperature data, and are able to detect problems with instrument exposure or sampling biases. Historical observations of temperature from the 18th and 19th centuries are shown to be comparable to modern temperature data. These daily observations will be used in further studies to analyse changes in climate and extreme conditions on a decadal to centennial time frame, and will form part of international data sets for the reconstruction and analysis of past climate events. #-------------------- # Funding_Agency # Funding_Agency_Name: # Grant: #-------------------- # Site_Information # Site_Name: Gaulthier Quebec City # Location: Quebec # Northernmost_Latitude: 46.81 # Southernmost_Latitude: 46.81 # Easternmost_Longitude: -71.21 # Westernmost_Longitude: -71.21 # Elevation_m: 65 #-------------------- # Data_Collection # Collection_Name: Gaulthier1742-1754 # First_Year: 1742 # Last_Year: 1754 # Time_Unit: CE # Core_Length_m: # Parameter_Keywords: weather observation # Notes: #-------------------- # Chronology_Information # Chronology: # # # #-------------------- # Variables # PaST_Thesaurus_Download_Resource: https://www.ncei.noaa.gov/access/paleo-search/skos/past-thesaurus.rdf # PaST_Thesaurus_Download_Description: Paleoenvironmental Standard Terms (PaST) Thesaurus terms, definitions, and relationships in SKOS format. # # Data variables follow that are preceded by '##' in columns one and two. # Variables list, one per line, shortname-tab-var components: what, material, error, units, seasonality, data type, detail, method, C or N for Character or Numeric data) # ## age_AD age,,,year Common Era,,climate reconstructions;historical,,,N, ## day age,,,day of year,,climate reconstructions;historical,,,N, ## temp-7amPO surface temperature,,,dimensionless,,historical,,,C,original observation Paris Observatory scale at 7:00 AM ## temp-2pmPO surface temperature,,,dimensionless,,historical,,,C,original observation Paris Observatory scale at 2:00 PM ## temp-7am surface temperature,,,degree Celsius,,historical,,,N,Celsius conversion at 7:00 AM ## temp-2pm surface temperature,,,degree Celsius,,historical,,,N,Celsius conversion at 2:00 PM ## temp-min minimum surface temperature,,,degree Celsius,,climate reconstructions;historical,,,N,daily minimum ## temp-max maximum surface temperature,,,degree Celsius,,climate reconstructions;historical,,,N,daily maximum ## temp-minpd minimum surface temperature,,unspecified margin of error,degree Celsius,,climate reconstructions;historical,,,N,daily minimum prediction interval for the estimated values ## temp-maxpd maximum surface temperature,,unspecified margin of error,degree Celsius,,climate reconstructions;historical,,,N,daily maximum prediction interval for the estimated values ## min_t_mtl_est minimum surface temperature,,,degree Celsius,,climate reconstructions;historical,,,N,daily minimum composite estimate for Montreal ## max_t_mtl_est maximum surface temperature,,,degree Celsius,,climate reconstructions;historical,,,N,daily maximum composite estimate for Montreal ## min_mtl_pd_int minimum surface temperature,,unspecified margin of error,degree Celsius,,climate reconstructions;historical,,,N,daily minimum prediction interval for the estimated Montreal values ## max_mtl_pd_int maximum surface temperature,,unspecified margin of error,degree Celsius,,climate reconstructions;historical,,,N,daily maximum prediction interval for the estimated Montreal values #-------------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing_Values: -999.90 age_AD day temp-7amPO temp-2pmPO temp-7am temp-2pm temp-min temp-max temp-minpd temp-maxpd min_t_mtl_est max_t_mtl_est min_mtl_pd_int max_mtl_pd_int 1742 1 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1742 2 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1742 3 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1742 4 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1742 5 missing missing -999.90 -999.90 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0.00 0.00 1749 131 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 132 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 133 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 134 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 135 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 136 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 137 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 138 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 139 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 140 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 141 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 142 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 143 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 144 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 145 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 146 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 147 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 148 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 149 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 150 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1749 151 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-999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 37 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 38 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 39 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 40 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 41 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 42 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 43 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 44 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 45 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 46 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 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0.00 1752 57 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 58 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 59 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 60 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 61 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 62 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 63 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 64 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 65 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 66 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 67 missing 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0.00 0.00 1752 128 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 129 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 130 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 131 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 132 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 133 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 134 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 135 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 136 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 137 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 138 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 139 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 140 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 141 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 142 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 143 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 144 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 145 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 146 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 147 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1752 148 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1753 5 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 6 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 7 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 8 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 9 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 10 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 11 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 12 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 13 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 14 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 15 missing missing 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0.00 1753 56 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 57 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 58 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 59 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 60 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 61 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 62 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 63 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 64 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 65 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 66 missing 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0.00 0.00 1753 127 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 128 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 129 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 130 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 131 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 132 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 133 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 134 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 135 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 136 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 137 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 138 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 139 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 140 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 141 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 142 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 143 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 144 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 145 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 146 missing missing -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 -999.90 0.00 0.00 1753 147 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