% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36756 % Primary Name: SHELTON % Record Type: TAVG % Country: United States % State: CT % Latitude: 41.31670 +/- 0.00005 % Longitude: -73.08330 +/- 0.00005 % Elevation (m): 18.00 +/- 0.05 % # of Months: 76 % % IDs: coop - 67361 % ghcnd - USC00067361 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % % Site Hash: df2f59dea27f03b9726f2859aa567b05 % Raw Data Hash: c7bfad2027e24dca9a815a331824742c % Adj Data Hash: 961abf2248dfc2c8dc6ee676eb8f562d % % 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 1883 11 NaN NaN NaN NaN NaN NaN 7.643 -0.026 1883 12 NaN NaN NaN NaN NaN NaN 0.108 -1.640 1884 1 NaN NaN NaN NaN NaN NaN -2.939 -2.223 1884 2 NaN NaN NaN NaN NaN NaN 0.985 1.381 1884 3 NaN NaN NaN NaN NaN NaN 1.862 -1.409 1884 4 NaN NaN NaN NaN NaN NaN 6.730 -1.474 1884 5 NaN NaN NaN NaN NaN NaN 12.547 -0.929 1884 6 NaN NaN NaN NaN NaN NaN 18.064 -0.465 1884 7 NaN NaN NaN NaN NaN NaN 19.685 -2.111 1884 8 NaN NaN NaN NaN NaN NaN 20.492 -1.053 1884 9 NaN NaN NaN NaN NaN NaN 19.216 1.081 1884 10 NaN NaN NaN NaN NaN NaN 12.470 -0.225 1884 11 2.815 -3.791 0 0 2.815 -3.791 7.005 -0.664 1884 12 -1.052 -1.737 0 0 -1.052 -1.737 1.477 -0.271 1885 1 -3.937 -2.158 0 0 -3.937 -2.158 -1.204 -0.488 1885 2 -7.721 -6.263 0 0 -7.721 -6.263 -5.692 -5.296 1885 3 -3.805 -6.013 0 0 -3.805 -6.013 -2.001 -5.273 1885 4 7.037 -0.104 0 0 7.037 -0.104 7.616 -0.588 1885 5 12.324 -0.088 0 0 12.324 -0.088 11.730 -1.746 1885 6 18.237 0.771 0 0 18.237 0.771 18.089 -0.440 1885 7 22.229 1.496 0 0 22.229 1.496 22.111 0.314 1885 8 19.873 -0.609 0 0 19.873 -0.609 20.348 -1.196 1885 9 14.938 -2.133 0 0 14.938 -2.133 16.199 -1.935 1885 10 9.894 -1.738 0 0 9.894 -1.738 11.764 -0.931 1885 11 4.626 -1.980 0 0 4.626 -1.980 7.792 0.122 1885 12 -0.213 -0.898 0 0 -0.213 -0.898 1.462 -0.287 1886 1 -4.350 -2.571 0 0 -4.350 -2.571 -2.497 -1.781 1886 2 -4.089 -2.631 0 0 -4.089 -2.631 -2.478 -2.083 1886 3 1.268 -0.940 0 0 1.268 -0.940 1.520 -1.751 1886 4 9.475 2.335 0 0 9.475 2.335 8.822 0.619 1886 5 NaN NaN NaN NaN NaN NaN 12.630 -0.846 1886 6 16.988 -0.478 0 0 16.988 -0.478 16.720 -1.809 1886 7 21.327 0.594 0 0 21.327 0.594 20.976 -0.820 1886 8 19.447 -1.035 0 0 19.447 -1.035 20.043 -1.501 1886 9 16.528 -0.543 1 0 NaN NaN 18.001 -0.133 1886 10 10.247 -1.385 0 0 10.247 -1.385 12.235 -0.460 1886 11 4.272 -2.334 0 0 4.272 -2.334 7.611 -0.059 1886 12 -3.502 -4.187 0 0 -3.502 -4.187 -1.226 -2.974 1887 1 -5.402 -3.622 0 0 -5.402 -3.622 -2.374 -1.658 1887 2 -2.052 -0.593 0 0 -2.052 -0.593 -0.383 0.013 1887 3 -1.192 -3.400 0 0 -1.192 -3.400 -0.054 -3.325 1887 4 6.295 -0.845 0 0 6.295 -0.845 6.477 -1.726 1887 5 16.523 4.110 0 0 16.523 4.110 14.629 1.153 1887 6 18.925 1.459 0 0 18.925 1.459 17.568 -0.961 1887 7 24.485 3.752 0 0 24.485 3.752 23.370 1.574 1887 8 19.395 -1.086 0 0 19.395 -1.086 20.098 -1.447 1887 9 14.523 -2.548 0 0 14.523 -2.548 15.815 -2.320 1887 10 9.015 -2.617 0 0 9.015 -2.617 11.457 -1.238 1887 11 3.237 -3.369 0 0 3.237 -3.369 6.569 -1.101 1887 12 -0.515 -1.200 0 0 -0.515 -1.200 1.166 -0.582 1888 1 -7.634 -5.855 0 0 -7.634 -5.855 -4.917 -4.201 1888 2 -3.626 -2.167 0 0 -3.626 -2.167 -1.774 -1.379 1888 3 -2.411 -4.619 0 0 -2.411 -4.619 -0.868 -4.139 1888 4 5.685 -1.455 0 0 5.685 -1.455 6.090 -2.114 1888 5 12.831 0.418 0 0 12.831 0.418 11.795 -1.681 1888 6 19.523 2.058 0 0 19.523 2.058 18.757 0.228 1888 7 19.861 -0.872 0 0 19.861 -0.872 19.714 -2.082 1888 8 20.255 -0.227 0 0 20.255 -0.227 20.828 -0.716 1888 9 14.972 -2.099 0 0 14.972 -2.099 16.242 -1.892 1888 10 6.998 -4.633 0 0 6.998 -4.633 9.217 -3.478 1888 11 4.722 -1.884 0 0 4.722 -1.884 7.879 0.209 1888 12 -1.129 -1.814 0 0 -1.129 -1.814 1.379 -0.369 1889 1 -0.263 1.516 0 0 -0.263 1.516 2.078 2.794 1889 2 -5.121 -3.663 0 0 -5.121 -3.663 -3.146 -2.751 1889 3 2.960 0.752 0 0 2.960 0.752 3.203 -0.068 1889 4 8.595 1.454 0 0 8.595 1.454 8.255 0.052 1889 5 15.655 3.242 0 0 15.655 3.242 14.137 0.661 1889 6 19.853 2.388 0 0 19.853 2.388 18.696 0.167 1889 7 21.031 0.298 0 0 21.031 0.298 20.650 -1.146 1889 8 19.802 -0.680 0 0 19.802 -0.680 19.927 -1.618 1889 9 16.748 -0.323 1 0 NaN NaN 17.523 -0.611 1889 10 8.492 -3.140 0 0 8.492 -3.140 10.192 -2.503 1889 11 5.668 -0.938 0 0 5.668 -0.938 8.478 0.809 1889 12 2.519 1.834 0 0 2.519 1.834 4.403 2.655 1890 1 1.121 2.900 0 0 1.121 2.900 3.158 3.874 1890 2 1.384 2.843 0 0 1.384 2.843 2.515 2.910 1890 3 -0.113 -2.321 0 0 -0.113 -2.321 1.424 -1.847 1890 4 7.547 0.406 0 0 7.547 0.406 7.564 -0.640 1890 5 13.768 1.356 0 0 13.768 1.356 12.689 -0.787 1890 6 18.926 1.460 0 0 18.926 1.460 17.914 -0.615 1890 7 21.177 0.444 0 0 21.177 0.444 20.620 -1.177 1890 8 20.018 -0.464 0 0 20.018 -0.464 20.412 -1.133 1890 9 16.153 -0.918 0 0 16.153 -0.918 17.606 -0.529 1890 10 9.110 -2.522 0 0 9.110 -2.522 11.223 -1.472 1890 11 3.913 -2.693 0 0 3.913 -2.693 6.839 -0.830 1890 12 -3.060 -3.745 0 0 -3.060 -3.745 -1.403 -3.152 1891 1 -1.139 0.641 0 0 -1.139 0.641 0.515 1.231 1891 2 0.191 1.650 1 0 NaN NaN 1.238 1.633 1891 3 1.589 -0.619 0 0 1.589 -0.619 1.762 -1.509 1891 4 NaN NaN NaN NaN NaN NaN 8.563 0.359 1891 5 NaN NaN NaN NaN NaN NaN 12.293 -1.182 1891 6 NaN NaN NaN NaN NaN NaN 17.880 -0.649 1891 7 NaN NaN NaN NaN NaN NaN 19.427 -2.369 1891 8 NaN NaN NaN NaN NaN NaN 21.477 -0.068 1891 9 NaN NaN NaN NaN NaN NaN 19.416 1.282 1891 10 NaN NaN NaN NaN NaN NaN 11.214 -1.481 1891 11 NaN NaN NaN NaN NaN NaN 6.585 -1.084 1891 12 NaN NaN NaN NaN NaN NaN 4.965 3.217 1892 1 NaN NaN NaN NaN NaN NaN -0.749 -0.033 1892 2 NaN NaN NaN NaN NaN NaN -0.411 -0.015 1892 3 NaN NaN NaN NaN NaN NaN 0.577 -2.695