% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41216 % Primary Name: KINEO % Record Type: TAVG % Country: United States % State: ME % Latitude: 45.70000 +/- 0.00005 % Longitude: -69.73330 +/- 0.00005 % Elevation (m): 323.09 +/- 0.15 % # of Months: 83 % % Alternate Names: Missing Station ID - 174290 % % IDs: coop - 174290 % ghcnd - USC00174290 % ncdc - 12002247 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: d91780ad5578eb37144bd7a4a41ff23e % Raw Data Hash: 247ebb793fff56bed915eecb139b0bd6 % Adj Data Hash: fe4a5350d49dc8dd93d2d1fc59917a35 % % 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 1894 1 NaN NaN NaN NaN NaN NaN -12.837 -0.918 1894 2 NaN NaN NaN NaN NaN NaN -14.005 -3.061 1894 3 NaN NaN NaN NaN NaN NaN -2.505 2.309 1894 4 NaN NaN NaN NaN NaN NaN 2.897 0.567 1894 5 NaN NaN NaN NaN NaN NaN 10.513 0.753 1894 6 NaN NaN NaN NaN NaN NaN 15.963 0.706 1894 7 NaN NaN NaN NaN NaN NaN 17.957 0.117 1894 8 NaN NaN NaN NaN NaN NaN 14.183 -2.335 1894 9 NaN NaN NaN NaN NaN NaN 12.274 0.345 1894 10 NaN NaN NaN NaN NaN NaN 6.083 0.139 1894 11 NaN NaN NaN NaN NaN NaN -2.952 -2.399 1894 12 NaN NaN NaN NaN NaN NaN -9.415 -0.378 1895 1 -10.108 0.402 0 0 -10.108 0.402 -11.554 0.365 1895 2 -10.060 -0.524 0 0 -10.060 -0.524 -12.291 -1.347 1895 3 -6.147 -2.742 0 0 -6.147 -2.742 -7.275 -2.462 1895 4 3.093 -0.647 0 0 3.093 -0.647 2.527 0.196 1895 5 12.276 1.108 0 0 12.276 1.108 11.602 1.843 1895 6 19.296 2.630 0 0 19.296 2.630 17.048 1.791 1895 7 18.315 -0.934 0 0 18.315 -0.934 16.747 -1.094 1895 8 17.202 -0.724 0 0 17.202 -0.724 15.545 -0.973 1895 9 11.792 -1.547 1 0 NaN NaN 12.246 0.317 1895 10 5.753 -1.601 0 0 5.753 -1.601 3.029 -2.916 1895 11 1.778 0.923 0 0 1.778 0.923 0.212 0.766 1895 12 -4.928 2.700 0 0 -4.928 2.700 -7.997 1.040 1896 1 -11.129 -0.619 0 0 -11.129 -0.619 -12.874 -0.956 1896 2 -10.378 -0.842 0 0 -10.378 -0.842 -11.844 -0.900 1896 3 -6.254 -2.850 0 0 -6.254 -2.850 -7.705 -2.891 1896 4 2.426 -1.314 0 0 2.426 -1.314 2.362 0.031 1896 5 11.201 0.033 0 0 11.201 0.033 10.861 1.102 1896 6 15.796 -0.870 0 0 15.796 -0.870 14.562 -0.695 1896 7 19.167 -0.083 0 0 19.167 -0.083 17.714 -0.126 1896 8 18.423 0.496 0 0 18.423 0.496 16.063 -0.455 1896 9 12.815 -0.524 0 0 12.815 -0.524 10.558 -1.372 1896 10 5.878 -1.475 0 0 5.878 -1.475 4.155 -1.789 1896 11 0.463 -0.392 0 0 0.463 -0.392 -0.373 0.181 1896 12 -8.590 -0.962 0 0 -8.590 -0.962 -11.558 -2.521 1897 1 -9.880 0.629 0 0 -9.880 0.629 -11.652 0.267 1897 2 -7.816 1.719 0 0 -7.816 1.719 -10.216 0.728 1897 3 -4.482 -1.077 0 0 -4.482 -1.077 -5.965 -1.151 1897 4 3.877 0.137 0 0 3.877 0.137 2.598 0.267 1897 5 9.429 -1.739 0 0 9.429 -1.739 9.154 -0.605 1897 6 13.197 -3.469 0 0 13.197 -3.469 12.448 -2.809 1897 7 20.097 0.847 0 0 20.097 0.847 18.707 0.867 1897 8 17.348 -0.578 0 0 17.348 -0.578 15.218 -1.300 1897 9 14.153 0.815 0 0 14.153 0.815 10.966 -0.963 1897 10 10.323 2.969 0 0 10.323 2.969 6.207 0.263 1897 11 -1.946 -2.801 0 0 -1.946 -2.801 -1.783 -1.229 1897 12 -6.558 1.070 0 0 -6.558 1.070 -9.386 -0.349 1898 1 -12.461 -1.951 0 0 -12.461 -1.951 -13.749 -1.830 1898 2 -7.259 2.276 0 0 -7.259 2.276 -8.926 2.018 1898 3 -0.590 2.814 0 0 -0.590 2.814 -1.888 2.925 1898 4 3.043 -0.696 0 0 3.043 -0.696 1.861 -0.469 1898 5 NaN NaN NaN NaN NaN NaN 10.381 0.622 1898 6 NaN NaN NaN NaN NaN NaN 14.699 -0.558 1898 7 20.947 1.697 0 0 20.947 1.697 18.075 0.234 1898 8 19.442 1.515 0 0 19.442 1.515 16.954 0.436 1898 9 14.807 1.468 0 0 14.807 1.468 12.397 0.468 1898 10 NaN NaN NaN NaN NaN NaN 6.342 0.397 1898 11 NaN NaN NaN NaN NaN NaN -0.249 0.304 1898 12 NaN NaN NaN NaN NaN NaN -9.996 -0.959 1899 1 NaN NaN NaN NaN NaN NaN -12.161 -0.242 1899 2 -11.664 -2.129 0 0 -11.664 -2.129 -12.395 -1.451 1899 3 -5.779 -2.374 0 0 -5.779 -2.374 -6.624 -1.810 1899 4 3.275 -0.464 0 0 3.275 -0.464 2.664 0.333 1899 5 10.263 -0.905 0 0 10.263 -0.905 9.769 0.010 1899 6 16.492 -0.174 0 0 16.492 -0.174 15.098 -0.159 1899 7 19.723 0.473 0 0 19.723 0.473 17.190 -0.651 1899 8 NaN NaN NaN NaN NaN NaN 16.653 0.135 1899 9 NaN NaN NaN NaN NaN NaN 10.878 -1.051 1899 10 NaN NaN NaN NaN NaN NaN 6.475 0.530 1899 11 NaN NaN NaN NaN NaN NaN -0.959 -0.405 1899 12 NaN NaN NaN NaN NaN NaN -7.203 1.834 1900 1 -9.227 1.282 0 0 -9.227 1.282 -11.011 0.907 1900 2 -10.096 -0.561 0 0 -10.096 -0.561 -11.095 -0.151 1900 3 -7.848 -4.444 0 0 -7.848 -4.444 -8.330 -3.516 1900 4 2.938 -0.801 0 0 2.938 -0.801 2.657 0.327 1900 5 8.505 -2.663 0 0 8.505 -2.663 7.552 -2.207 1900 6 18.507 1.841 0 0 18.507 1.841 15.339 0.082 1900 7 20.050 0.800 0 0 20.050 0.800 17.390 -0.451 1900 8 19.731 1.804 0 0 19.731 1.804 16.659 0.141 1900 9 15.577 2.238 0 0 15.577 2.238 12.329 0.399 1900 10 NaN NaN NaN NaN NaN NaN 8.432 2.487 1900 11 NaN NaN NaN NaN NaN NaN -0.321 0.232 1900 12 NaN NaN NaN NaN NaN NaN -10.635 -1.598 1901 1 -12.312 -1.802 1 0 NaN NaN -12.349 -0.430 1901 2 -12.934 -3.399 1 0 NaN NaN -13.162 -2.218 1901 3 -6.969 -3.565 0 0 -6.969 -3.565 -6.119 -1.305 1901 4 2.975 -0.764 0 0 2.975 -0.764 3.749 1.419 1901 5 8.710 -2.458 0 0 8.710 -2.458 10.068 0.309 1901 6 15.358 -1.307 1 0 NaN NaN 15.933 0.676 1901 7 18.303 -0.947 0 0 18.303 -0.947 17.976 0.135 1901 8 17.072 -0.855 0 0 17.072 -0.855 16.856 0.338 1901 9 14.465 1.126 0 0 14.465 1.126 12.548 0.618 1901 10 6.247 -1.107 0 0 6.247 -1.107 5.711 -0.234 1901 11 -2.771 -3.626 0 0 -2.771 -3.626 -2.819 -2.265 1901 12 -7.144 0.484 0 0 -7.144 0.484 -8.905 0.132 1902 1 -10.837 -0.327 0 0 -10.837 -0.327 -11.854 0.064 1902 2 -9.314 0.221 0 0 -9.314 0.221 -10.138 0.806 1902 3 0.061 3.466 0 0 0.061 3.466 -0.760 4.054 1902 4 3.153 -0.586 0 0 3.153 -0.586 3.387 1.056 1902 5 8.633 -2.535 0 0 8.633 -2.535 8.189 -1.570 1902 6 12.572 -4.094 0 0 12.572 -4.094 12.194 -3.063 1902 7 17.347 -1.903 0 0 17.347 -1.903 16.191 -1.650 1902 8 18.413 0.486 0 0 18.413 0.486 15.165 -1.353 1902 9 14.188 0.850 0 0 14.188 0.850 12.514 0.584 1902 10 NaN NaN NaN NaN NaN NaN 4.870 -1.075 1902 11 1.811 0.956 0 0 1.811 0.956 1.057 1.610 1902 12 -10.577 -2.949 1 0 NaN NaN -12.045 -3.008 1903 1 NaN NaN NaN NaN NaN NaN -11.670 0.249 1903 2 -9.410 0.125 1 0 NaN NaN -10.236 0.708 1903 3 NaN NaN NaN NaN NaN NaN -0.489 4.324 1903 4 NaN NaN NaN NaN NaN NaN 2.682 0.351 1903 5 NaN NaN NaN NaN NaN NaN 10.480 0.720 1903 6 15.330 -1.336 0 0 15.330 -1.336 13.417 -1.840 1903 7 NaN NaN NaN NaN NaN NaN 16.346 -1.494 1903 8 NaN NaN NaN NaN NaN NaN 13.362 -3.156 1903 9 NaN NaN NaN NaN NaN NaN 12.744 0.815 1903 10 NaN NaN NaN NaN NaN NaN 5.891 -0.054 1903 11 NaN NaN NaN NaN NaN NaN -1.650 -1.096 1903 12 NaN NaN NaN NaN NaN NaN -12.153 -3.116 1904 1 NaN NaN NaN NaN NaN NaN -15.017 -3.099 1904 2 NaN NaN NaN NaN NaN NaN -15.108 -4.164 1904 3 NaN NaN NaN NaN NaN NaN -6.003 -1.189 1904 4 NaN NaN NaN NaN NaN NaN 1.389 -0.941 1904 5 NaN NaN NaN NaN NaN NaN 11.864 2.105 1904 6 NaN NaN NaN NaN NaN NaN 14.330 -0.927