% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35739 % Primary Name: FREEPORT % Record Type: TAVG % Country: United States % State: PA % Latitude: 40.50000 +/- 0.00500 % Longitude: -79.75000 +/- 0.00500 % Elevation (m): 225.86 +/- 0.15 % # of Months: 67 % % Alternate Names: Missing Station ID - 363061 % % IDs: coop - 363061 % ghcnd - USC00363061 % ncdc - 12004625 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 574311411df0905e94b1fccb747b4c1c % Raw Data Hash: 5dd9e1cd8a97bbbb4bedd23e2e5ca25f % Adj Data Hash: bacf5143f22d6ef02bfbed0899deb215 % % 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 1902 2 NaN NaN NaN NaN NaN NaN -7.597 -3.909 1902 3 NaN NaN NaN NaN NaN NaN 3.258 1.725 1902 4 NaN NaN NaN NaN NaN NaN 7.320 -0.755 1902 5 NaN NaN NaN NaN NaN NaN 13.987 0.212 1902 6 NaN NaN NaN NaN NaN NaN 16.916 -1.489 1902 7 NaN NaN NaN NaN NaN NaN 20.583 0.037 1902 8 NaN NaN NaN NaN NaN NaN 18.067 -1.762 1902 9 NaN NaN NaN NaN NaN NaN 15.633 -0.501 1902 10 NaN NaN NaN NaN NaN NaN 10.166 0.418 1902 11 NaN NaN NaN NaN NaN NaN 7.446 3.501 1902 12 NaN NaN NaN NaN NaN NaN -4.049 -1.891 1903 1 NaN NaN NaN NaN NaN NaN -5.266 -0.605 1903 2 -0.773 0.329 0 0 -0.773 0.329 -3.370 0.318 1903 3 9.745 5.626 0 0 9.745 5.626 6.712 5.179 1903 4 10.189 -0.472 0 0 10.189 -0.472 7.934 -0.141 1903 5 18.424 2.064 0 0 18.424 2.064 14.818 1.043 1903 6 18.459 -2.532 0 0 18.459 -2.532 15.588 -2.817 1903 7 22.263 -0.869 0 0 22.263 -0.869 19.754 -0.792 1903 8 22.364 -0.051 0 0 22.364 -0.051 18.236 -1.593 1903 9 19.377 0.657 0 0 19.377 0.657 15.910 -0.224 1903 10 12.074 -0.259 0 0 12.074 -0.259 9.949 0.201 1903 11 2.700 -3.831 0 0 2.700 -3.831 1.248 -2.697 1903 12 -4.880 -5.308 0 0 -4.880 -5.308 -6.250 -4.092 1904 1 -5.510 -3.435 0 0 -5.510 -3.435 -8.812 -4.152 1904 2 -4.988 -3.886 0 0 -4.988 -3.886 -8.168 -4.480 1904 3 4.031 -0.088 0 0 4.031 -0.088 0.731 -0.802 1904 4 6.698 -3.962 0 0 6.698 -3.962 5.204 -2.871 1904 5 16.850 0.489 0 0 16.850 0.489 14.178 0.403 1904 6 NaN NaN NaN NaN NaN NaN 18.184 -0.221 1904 7 22.054 -1.078 0 0 22.054 -1.078 19.391 -1.155 1904 8 20.971 -1.444 0 0 20.971 -1.444 18.018 -1.811 1904 9 19.163 0.444 0 0 19.163 0.444 16.169 0.035 1904 10 11.579 -0.754 0 0 11.579 -0.754 8.655 -1.093 1904 11 3.927 -2.604 0 0 3.927 -2.604 2.719 -1.226 1904 12 -1.548 -1.976 0 0 -1.548 -1.976 -5.366 -3.208 1905 1 -4.837 -2.762 0 0 -4.837 -2.762 -7.316 -2.656 1905 2 NaN NaN NaN NaN NaN NaN -8.574 -4.886 1905 3 NaN NaN NaN NaN NaN NaN 2.576 1.043 1905 4 9.661 -0.999 1 0 NaN NaN 7.288 -0.787 1905 5 16.788 0.427 0 0 16.788 0.427 13.893 0.117 1905 6 21.180 0.189 0 0 21.180 0.189 18.177 -0.228 1905 7 23.116 -0.016 0 0 23.116 -0.016 20.557 0.011 1905 8 21.655 -0.760 0 0 21.655 -0.760 19.108 -0.722 1905 9 17.690 -1.029 0 0 17.690 -1.029 16.057 -0.076 1905 10 12.228 -0.105 0 0 12.228 -0.105 9.686 -0.062 1905 11 NaN NaN NaN NaN NaN NaN 2.399 -1.546 1905 12 0.916 0.488 1 0 NaN NaN -1.703 0.454 1906 1 2.118 4.193 0 0 2.118 4.193 -0.832 3.828 1906 2 -1.775 -0.673 0 0 -1.775 -0.673 -4.973 -1.285 1906 3 0.703 -3.415 0 0 0.703 -3.415 -2.163 -3.696 1906 4 10.753 0.093 0 0 10.753 0.093 8.357 0.282 1906 5 15.997 -0.364 0 0 15.997 -0.364 13.614 -0.161 1906 6 21.412 0.421 0 0 21.412 0.421 18.736 0.331 1906 7 21.945 -1.187 0 0 21.945 -1.187 19.842 -0.705 1906 8 23.602 1.187 0 0 23.602 1.187 21.058 1.228 1906 9 20.275 1.556 0 0 20.275 1.556 17.832 1.698 1906 10 11.634 -0.700 0 0 11.634 -0.700 9.166 -0.582 1906 11 6.655 0.124 0 0 6.655 0.124 4.066 0.122 1906 12 -0.160 -0.588 0 0 -0.160 -0.588 -2.845 -0.687 1907 1 0.603 2.678 0 0 0.603 2.678 -3.094 1.567 1907 2 -3.979 -2.877 1 0 NaN NaN -7.177 -3.489 1907 3 6.724 2.605 0 0 6.724 2.605 4.117 2.583 1907 4 5.778 -4.883 0 0 5.778 -4.883 4.601 -3.474 1907 5 13.402 -2.959 0 0 13.402 -2.959 10.725 -3.050 1907 6 19.036 -1.955 0 0 19.036 -1.955 15.743 -2.662 1907 7 22.185 -0.946 0 0 22.185 -0.946 19.838 -0.708 1907 8 19.926 -2.489 0 0 19.926 -2.489 17.847 -1.982 1907 9 18.595 -0.124 0 0 18.595 -0.124 16.559 0.425 1907 10 9.108 -3.225 0 0 9.108 -3.225 7.069 -2.679 1907 11 3.548 -2.982 0 0 3.548 -2.982 2.743 -1.202 1907 12 -0.808 -1.236 1 0 NaN NaN -1.720 0.438 1908 1 -0.740 1.335 1 0 NaN NaN -4.496 0.165 1908 2 -2.871 -1.769 0 0 -2.871 -1.769 -6.636 -2.949 1908 3 6.118 1.999 0 0 6.118 1.999 3.266 1.732 1908 4 9.857 -0.803 0 0 9.857 -0.803 8.309 0.234 1908 5 17.185 0.825 0 0 17.185 0.825 14.228 0.453 1908 6 NaN NaN NaN NaN NaN NaN 18.445 0.040 1908 7 22.950 -0.182 0 0 22.950 -0.182 20.975 0.429 1908 8 21.758 -0.657 0 0 21.758 -0.657 18.801 -1.029 1908 9 20.300 1.581 0 0 20.300 1.581 17.413 1.279 1908 10 NaN NaN NaN NaN NaN NaN 10.376 0.628 1908 11 5.262 -1.268 0 0 5.262 -1.268 3.830 -0.115 1908 12 1.230 0.802 0 0 1.230 0.802 -2.124 0.034 1909 1 1.195 3.269 1 0 NaN NaN -2.620 2.040 1909 2 1.460 2.562 0 0 1.460 2.562 -0.897 2.791 1909 3 NaN NaN NaN NaN NaN NaN -0.016 -1.549 1909 4 NaN NaN NaN NaN NaN NaN 7.623 -0.452 1909 5 NaN NaN NaN NaN NaN NaN 13.088 -0.687 1909 6 NaN NaN NaN NaN NaN NaN 18.600 0.195 1909 7 NaN NaN NaN NaN NaN NaN 18.941 -1.606 1909 8 NaN NaN NaN NaN NaN NaN 19.011 -0.818 1909 9 NaN NaN NaN NaN NaN NaN 15.451 -0.683 1909 10 NaN NaN NaN NaN NaN NaN 6.962 -2.786 1909 11 NaN NaN NaN NaN NaN NaN 7.191 3.246 1909 12 NaN NaN NaN NaN NaN NaN -5.386 -3.228 1910 1 NaN NaN NaN NaN NaN NaN -4.852 -0.192 1910 2 NaN NaN NaN NaN NaN NaN -5.681 -1.994