% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 6786 % Primary Name: MONTAGUE % Record Type: TAVG % Country: Canada % Latitude: 44.93000 +/- 0.00500 % Longitude: -75.95000 +/- 0.00500 % Elevation (m): 178.00 +/- 0.50 % # of Months: 54 % % IDs: ghcnd - CA006105262 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 464f6cc77177d9b064d8d0893f20c51d % Raw Data Hash: be4a634094e6adb7bbe9af0b609024bf % Adj Data Hash: 1b5863da838d5e8c88cbb2a3b873ba55 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1909 2 NaN NaN NaN NaN NaN NaN -5.810 1.369 1909 3 NaN NaN NaN NaN NaN NaN -2.913 -1.540 1909 4 NaN NaN NaN NaN NaN NaN 4.631 -1.215 1909 5 NaN NaN NaN NaN NaN NaN 11.340 -0.980 1909 6 NaN NaN NaN NaN NaN NaN 17.525 -0.068 1909 7 NaN NaN NaN NaN NaN NaN 19.043 -1.417 1909 8 NaN NaN NaN NaN NaN NaN 18.976 -0.577 1909 9 NaN NaN NaN NaN NaN NaN 14.646 -0.643 1909 10 NaN NaN NaN NaN NaN NaN 7.738 -1.470 1909 11 NaN NaN NaN NaN NaN NaN 5.027 1.877 1909 12 NaN NaN NaN NaN NaN NaN -6.430 -1.528 1910 1 NaN NaN NaN NaN NaN NaN -5.974 2.110 1910 2 -7.261 0.795 1 0 NaN NaN -8.784 -1.605 1910 3 2.053 4.303 0 0 2.053 4.303 2.477 3.850 1910 4 8.750 3.780 0 0 8.750 3.780 8.645 2.799 1910 5 11.598 0.154 0 0 11.598 0.154 11.089 -1.231 1910 6 17.307 0.590 0 0 17.307 0.590 16.590 -1.002 1910 7 20.610 1.026 0 0 20.610 1.026 20.710 0.250 1910 8 19.100 0.423 0 0 19.100 0.423 19.151 -0.403 1910 9 13.136 -1.276 0 0 13.136 -1.276 14.309 -0.979 1910 10 8.495 0.163 0 0 8.495 0.163 9.519 0.311 1910 11 -0.062 -2.336 0 0 -0.062 -2.336 1.613 -1.538 1910 12 -12.040 -6.262 0 0 -12.040 -6.262 -9.989 -5.087 1911 1 -10.023 -1.062 0 0 -10.023 -1.062 -7.452 0.632 1911 2 -10.493 -2.437 1 0 NaN NaN -8.287 -1.107 1911 3 -5.871 -3.621 0 0 -5.871 -3.621 -3.613 -2.240 1911 4 4.310 -0.659 0 0 4.310 -0.659 4.863 -0.983 1911 5 16.268 4.824 0 0 16.268 4.824 15.817 3.496 1911 6 17.872 1.155 1 0 NaN NaN 17.104 -0.489 1911 7 21.831 2.247 0 0 21.831 2.247 21.490 1.030 1911 8 20.502 1.824 0 0 20.502 1.824 20.182 0.628 1911 9 13.520 -0.892 0 0 13.520 -0.892 14.208 -1.080 1911 10 8.103 -0.229 0 0 8.103 -0.229 8.995 -0.213 1911 11 NaN NaN NaN NaN NaN NaN 1.505 -1.646 1911 12 -2.308 3.470 0 0 -2.308 3.470 -1.468 3.434 1912 1 -16.843 -7.883 0 0 -16.843 -7.883 -13.167 -5.083 1912 2 -11.614 -3.558 0 0 -11.614 -3.558 -10.006 -2.826 1912 3 -8.038 -5.788 0 0 -8.038 -5.788 -5.382 -4.009 1912 4 3.391 -1.578 0 0 3.391 -1.578 4.649 -1.197 1912 5 12.271 0.826 0 0 12.271 0.826 12.487 0.166 1912 6 15.440 -1.277 0 0 15.440 -1.277 15.273 -2.319 1912 7 19.672 0.088 0 0 19.672 0.088 20.171 -0.289 1912 8 16.976 -1.702 0 0 16.976 -1.702 17.068 -2.486 1912 9 14.632 0.220 0 0 14.632 0.220 15.251 -0.037 1912 10 9.114 0.782 0 0 9.114 0.782 10.275 1.067 1912 11 1.590 -0.685 0 0 1.590 -0.685 4.191 1.040 1912 12 -3.822 1.957 1 0 NaN NaN -2.460 2.442 1913 1 -4.345 4.615 0 0 -4.345 4.615 -2.507 5.577 1913 2 -10.548 -2.492 0 0 -10.548 -2.492 -9.544 -2.364 1913 3 NaN NaN NaN NaN NaN NaN 0.185 1.559 1913 4 7.417 2.447 0 0 7.417 2.447 7.498 1.652 1913 5 11.747 0.302 0 0 11.747 0.302 11.258 -1.063 1913 6 17.540 0.823 1 0 NaN NaN 16.642 -0.951 1913 7 20.216 0.633 0 0 20.216 0.633 20.389 -0.071 1913 8 18.777 0.100 0 0 18.777 0.100 19.192 -0.361 1913 9 13.433 -0.979 0 0 13.433 -0.979 14.399 -0.889 1913 10 9.403 1.071 0 0 9.403 1.071 10.916 1.708 1913 11 NaN NaN NaN NaN NaN NaN 5.648 2.497 1913 12 NaN NaN NaN NaN NaN NaN -2.444 2.458 1914 1 -12.010 -3.050 0 0 -12.010 -3.050 -8.568 -0.484 1914 2 -14.225 -6.169 0 0 -14.225 -6.169 -12.259 -5.080 1914 3 NaN NaN NaN NaN NaN NaN -2.328 -0.955 1914 4 3.507 -1.463 1 0 NaN NaN 4.197 -1.649 1914 5 13.408 1.964 0 0 13.408 1.964 13.256 0.935 1914 6 16.305 -0.411 0 0 16.305 -0.411 16.206 -1.387 1914 7 19.750 0.167 0 0 19.750 0.167 19.678 -0.782 1914 8 18.016 -0.661 0 0 18.016 -0.661 18.912 -0.641 1914 9 13.759 -0.653 0 0 13.759 -0.653 14.283 -1.005 1914 10 9.840 1.508 0 0 9.840 1.508 10.581 1.372 1914 11 -1.092 -3.367 0 0 -1.092 -3.367 2.423 -0.728 1914 12 NaN NaN NaN NaN NaN NaN -6.566 -1.664 1915 1 NaN NaN NaN NaN NaN NaN -6.577 1.507 1915 2 NaN NaN NaN NaN NaN NaN -5.312 1.868 1915 3 -2.702 -0.452 0 0 -2.702 -0.452 -2.979 -1.606 1915 4 NaN NaN NaN NaN NaN NaN 9.361 3.515 1915 5 NaN NaN NaN NaN NaN NaN 9.852 -2.469 1915 6 NaN NaN NaN NaN NaN NaN 16.466 -1.127 1915 7 NaN NaN NaN NaN NaN NaN 19.356 -1.104 1915 8 NaN NaN NaN NaN NaN NaN 18.022 -1.532 1915 9 NaN NaN NaN NaN NaN NaN 16.574 1.286 1915 10 NaN NaN NaN NaN NaN NaN 10.222 1.013 1915 11 NaN NaN NaN NaN NaN NaN 4.333 1.182 1915 12 NaN NaN NaN NaN NaN NaN -5.465 -0.563 1916 1 NaN NaN NaN NaN NaN NaN -4.361 3.723 1916 2 NaN NaN NaN NaN NaN NaN -10.034 -2.855 1916 3 NaN NaN NaN NaN NaN NaN -6.278 -4.905