% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36244 % Primary Name: MILLHEIM % Record Type: TAVG % Country: United States % State: PA % Latitude: 40.88470 +/- 0.00005 % Longitude: -77.47502 +/- 0.00005 % Elevation (m): 333.79 +/- 7.74 % # of Months: 105 % % IDs: coop - 365790 % ghcnd - USC00365790 % ncdc - 20016917 % nws - MLLP1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 3ba044b77043cbffbc2c780384a5b80b % Raw Data Hash: 13b5683ad205ec1b47f659dd13e09b5a % Adj Data Hash: c0cd16227e751316c81f305e78caee50 % % 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 2003 11 NaN NaN NaN NaN NaN NaN 8.057 3.166 2003 12 NaN NaN NaN NaN NaN NaN -0.584 0.718 2004 1 NaN NaN NaN NaN NaN NaN -6.472 -2.784 2004 2 NaN NaN NaN NaN NaN NaN -3.008 -0.412 2004 3 NaN NaN NaN NaN NaN NaN 4.699 2.052 2004 4 NaN NaN NaN NaN NaN NaN 10.165 1.004 2004 5 NaN NaN NaN NaN NaN NaN 18.080 3.285 2004 6 NaN NaN NaN NaN NaN NaN 18.844 -0.811 2004 7 NaN NaN NaN NaN NaN NaN 21.506 -0.573 2004 8 NaN NaN NaN NaN NaN NaN 21.156 -0.047 2004 9 NaN NaN NaN NaN NaN NaN 18.824 1.652 2004 10 NaN NaN NaN NaN NaN NaN 10.596 -0.111 2004 11 5.278 1.941 0 0 5.339 2.003 7.082 2.191 2004 12 -1.889 0.968 0 0 -1.814 1.043 -0.689 0.613 2005 1 -4.611 0.632 0 0 -4.534 0.709 -3.607 0.081 2005 2 -2.889 1.261 0 0 -2.820 1.330 -1.203 1.392 2005 3 -1.500 -2.591 0 0 -1.435 -2.526 0.852 -1.794 2005 4 8.111 0.505 0 0 8.167 0.561 10.694 1.533 2005 5 11.111 -2.129 0 0 11.129 -2.112 12.560 -2.236 2005 6 20.222 2.122 0 0 20.193 2.093 21.862 2.207 2005 7 22.111 1.587 0 0 22.076 1.552 23.675 1.597 2005 8 21.722 2.074 0 0 21.724 2.076 23.455 2.252 2005 9 17.167 1.549 0 0 17.205 1.587 19.672 2.499 2005 10 10.000 0.847 0 0 10.052 0.900 11.830 1.123 2005 11 4.222 0.886 0 0 4.284 0.947 7.097 2.205 2005 12 -5.667 -2.810 0 0 -5.592 -2.735 -3.082 -1.780 2006 1 0.167 5.409 0 0 0.244 5.487 1.469 5.157 2006 2 -2.500 1.650 0 0 -2.431 1.719 -1.301 1.294 2006 3 1.778 0.686 0 0 1.843 0.751 3.625 0.979 2006 4 9.056 1.450 0 0 9.111 1.505 10.875 1.714 2006 5 13.056 -0.185 0 0 13.073 -0.167 14.734 -0.061 2006 6 18.556 0.455 0 0 18.527 0.426 19.821 0.166 2006 7 22.444 1.921 0 0 22.409 1.885 23.597 1.518 2006 8 20.722 1.074 0 0 20.724 1.076 22.272 1.069 2006 9 14.889 -0.729 0 0 14.928 -0.690 16.527 -0.646 2006 10 8.444 -0.708 0 0 8.497 -0.656 10.140 -0.568 2006 11 5.389 2.052 0 0 5.450 2.114 7.811 2.920 2006 12 1.667 4.524 0 0 1.742 4.598 3.092 4.394 2007 1 -1.556 3.687 0 0 -1.478 3.764 -0.382 3.306 2007 2 -8.111 -3.961 0 0 -8.042 -3.892 -6.348 -3.753 2007 3 1.389 0.297 0 0 1.454 0.363 2.961 0.314 2007 4 6.056 -1.550 0 0 6.111 -1.495 7.993 -1.168 2007 5 15.000 1.760 0 0 15.018 1.777 15.965 1.170 2007 6 19.667 1.566 0 0 19.638 1.538 20.871 1.216 2007 7 NaN NaN NaN NaN NaN NaN 21.667 -0.412 2007 8 21.056 1.408 0 0 21.057 1.409 22.274 1.071 2007 9 16.833 1.215 0 0 16.872 1.254 18.943 1.771 2007 10 13.056 3.903 0 0 13.108 3.955 14.938 4.230 2007 11 2.611 -0.725 0 0 2.673 -0.664 5.029 0.138 2007 12 -1.500 1.357 0 0 -1.425 1.432 -0.535 0.767 2008 1 -3.056 2.187 0 0 -2.978 2.264 -1.328 2.360 2008 2 -4.167 -0.017 0 0 -4.098 0.052 -2.497 0.098 2008 3 0.444 -0.647 0 0 0.510 -0.582 2.879 0.233 2008 4 9.778 2.172 0 0 9.833 2.227 11.451 2.290 2008 5 11.278 -1.963 0 0 11.295 -1.945 12.687 -2.108 2008 6 20.500 2.400 0 0 20.471 2.371 21.327 1.672 2008 7 21.444 0.921 0 0 21.409 0.885 22.565 0.486 2008 8 18.778 -0.870 0 0 18.780 -0.868 20.237 -0.966 2008 9 16.500 0.882 0 0 16.539 0.921 18.242 1.070 2008 10 8.056 -1.097 0 0 8.108 -1.045 9.798 -0.910 2008 11 2.833 -0.503 0 0 2.895 -0.442 5.105 0.214 2008 12 -1.833 1.024 0 0 -1.758 1.098 -0.740 0.562 2009 1 -7.944 -2.702 0 0 -7.867 -2.624 -6.224 -2.536 2009 2 -2.333 1.817 0 0 -2.265 1.886 -1.345 1.250 2009 3 2.500 1.409 0 0 2.565 1.474 3.946 1.300 2009 4 8.333 0.727 0 0 8.389 0.783 10.621 1.460 2009 5 13.889 0.649 0 0 13.907 0.666 14.951 0.156 2009 6 18.222 0.122 0 0 18.193 0.093 19.131 -0.524 2009 7 18.889 -1.635 0 0 18.853 -1.670 20.307 -1.772 2009 8 20.778 1.130 0 0 20.780 1.132 22.177 0.974 2009 9 15.556 -0.062 0 0 15.594 -0.024 16.974 -0.198 2009 10 8.056 -1.097 0 0 8.108 -1.045 9.836 -0.871 2009 11 5.944 2.608 0 0 6.006 2.670 8.139 3.248 2009 12 -2.778 0.079 0 0 -2.703 0.154 -1.355 -0.053 2010 1 -4.056 1.187 0 0 -3.978 1.264 -2.888 0.800 2010 2 -4.667 -0.517 0 0 -4.598 -0.448 -2.888 -0.292 2010 3 4.889 3.797 0 0 4.954 3.863 6.693 4.047 2010 4 10.389 2.783 0 0 10.444 2.839 12.412 3.251 2010 5 15.556 2.315 0 0 15.573 2.333 16.423 1.627 2010 6 20.667 2.566 0 0 20.638 2.538 21.446 1.791 2010 7 22.444 1.921 0 0 22.409 1.885 23.956 1.878 2010 8 20.722 1.074 0 0 20.724 1.076 22.236 1.034 2010 9 16.778 1.160 0 0 16.816 1.199 18.498 1.325 2010 10 9.778 0.625 0 0 9.830 0.678 11.229 0.522 2010 11 3.667 0.330 0 0 3.728 0.392 5.857 0.965 2010 12 -4.500 -1.643 0 0 -4.425 -1.568 -2.928 -1.626 2011 1 -7.278 -2.035 0 0 -7.201 -1.958 -5.025 -1.337 2011 2 -3.470 0.680 0 0 -3.401 0.749 -2.276 0.319 2011 3 1.539 0.447 0 0 1.604 0.512 2.973 0.327 2011 4 8.667 1.061 0 0 8.722 1.116 10.595 1.434 2011 5 15.778 2.537 0 0 15.795 2.555 16.672 1.877 2011 6 20.056 1.955 0 0 20.027 1.926 20.841 1.186 2011 7 23.222 2.698 0 0 23.187 2.663 24.407 2.328 2011 8 20.222 0.574 0 0 20.224 0.576 21.522 0.319 2011 9 17.622 2.005 0 0 17.661 2.043 18.854 1.681 2011 10 9.222 0.070 0 0 9.275 0.122 10.926 0.219 2011 11 5.667 2.330 0 0 5.728 2.392 7.973 3.082 2011 12 0.389 3.246 0 0 0.464 3.320 1.927 3.228 2012 1 -2.737 2.506 0 0 -2.660 2.583 -0.939 2.749 2012 2 -0.129 4.021 0 0 -0.060 4.090 1.018 3.613 2012 3 7.168 6.076 0 0 7.233 6.141 9.124 6.477 2012 4 7.867 0.261 0 0 7.922 0.316 9.777 0.616 2012 5 17.124 3.884 0 1 17.026 3.786 17.918 3.122 2012 6 20.237 2.136 0 0 20.397 2.297 19.792 0.137 2012 7 23.189 2.665 0 0 23.386 2.862 24.305 2.226 2012 8 20.461 0.813 0 0 20.451 0.803 22.024 0.821 2012 9 15.792 0.174 0 0 15.577 -0.041 17.490 0.317 2012 10 10.239 1.086 0 0 9.947 0.795 11.823 1.116 2012 11 1.828 -1.508 0 0 1.486 -1.850 4.182 -0.709 2012 12 0.824 3.681 0 0 0.408 3.265 1.999 3.301 2013 1 -3.958 1.285 0 0 -4.388 0.855 -1.885 1.803 2013 2 NaN NaN NaN NaN NaN NaN -2.520 0.076 2013 3 0.361 -0.730 0 0 -0.001 -1.092 2.074 -0.573 2013 4 8.502 0.896 0 0 8.192 0.586 10.070 0.909 2013 5 13.548 0.308 0 0 13.450 0.210 15.190 0.395 2013 6 19.752 1.651 0 0 19.912 1.812 20.463 0.808 2013 7 22.705 2.181 0 0 22.902 2.378 23.786 1.707 2013 8 19.613 -0.035 0 0 19.603 -0.045 20.733 -0.470 2013 9 14.978 -0.640 0 0 14.763 -0.855 16.818 -0.355 2013 10 NaN NaN NaN NaN NaN NaN 12.380 1.673