% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33312 % Primary Name: CAMBRIDGE DORCHESTE % Record Type: TAVG % Country: United States % State: MD % Latitude: 38.53300 +/- 0.00050 % Longitude: -76.03300 +/- 0.00050 % Elevation (m): 6.00 +/- 0.05 % # of Months: 82 % % IDs: gsod - 722218-99999 % icao - KCGE % usaf - 722218 % % Sources: Global Summary of the Day % % Site Hash: d378abd0d5a61de32482d86417de1357 % Raw Data Hash: a637a22e19254ff5413d21d08d6bda69 % Adj Data Hash: 20f652c22d1cf1f8a1bdd69dfdd9af15 % % 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 2005 10 NaN NaN NaN NaN NaN NaN 16.640 0.978 2005 11 NaN NaN NaN NaN NaN NaN 12.616 2.036 2005 12 NaN NaN NaN NaN NaN NaN 4.695 -0.910 2006 1 NaN NaN NaN NaN NaN NaN 7.628 4.107 2006 2 NaN NaN NaN NaN NaN NaN 4.528 0.578 2006 3 NaN NaN NaN NaN NaN NaN 8.076 0.689 2006 4 NaN NaN NaN NaN NaN NaN 13.927 1.769 2006 5 NaN NaN NaN NaN NaN NaN 16.870 -0.187 2006 6 NaN NaN NaN NaN NaN NaN 21.820 0.149 2006 7 NaN NaN NaN NaN NaN NaN 25.332 0.952 2006 8 NaN NaN NaN NaN NaN NaN 25.801 1.539 2006 9 NaN NaN NaN NaN NaN NaN 20.606 -0.815 2006 10 14.034 -0.760 0 0 14.330 -0.465 15.170 -0.492 2006 11 10.219 0.506 0 0 10.514 0.801 12.834 2.254 2006 12 6.532 1.794 0 0 6.828 2.090 8.868 3.263 2007 1 5.324 2.670 0 0 5.620 2.966 6.917 3.396 2007 2 -0.130 -3.214 0 0 0.165 -2.919 1.294 -2.657 2007 3 8.933 2.413 1 0 NaN NaN 8.748 1.361 2007 4 11.265 -0.026 0 0 11.560 0.270 11.777 -0.380 2007 5 17.869 1.680 0 0 18.165 1.975 16.877 -0.180 2007 6 22.304 1.500 0 0 22.599 1.795 22.044 0.373 2007 7 24.054 0.541 0 0 24.349 0.837 24.398 0.019 2007 8 24.509 1.113 0 0 24.804 1.409 25.366 1.103 2007 9 20.761 0.208 0 0 21.056 0.503 22.664 1.243 2007 10 17.912 3.118 0 0 18.208 3.413 19.514 3.852 2007 11 6.907 -2.805 0 4 6.465 -3.247 11.111 0.531 2007 12 3.116 -1.622 0 0 2.674 -2.064 7.300 1.695 2008 1 1.701 -0.953 0 0 1.259 -1.396 4.926 1.405 2008 2 3.098 0.014 0 0 2.656 -0.428 6.067 2.116 2008 3 8.686 2.166 0 0 8.244 1.724 9.583 2.196 2008 4 14.241 2.950 0 0 13.799 2.508 13.625 1.467 2008 5 17.459 1.269 0 0 17.017 0.827 16.544 -0.512 2008 6 24.639 3.835 0 0 24.197 3.393 23.774 2.103 2008 7 25.469 1.957 0 0 25.027 1.515 24.797 0.417 2008 8 23.575 0.179 0 0 23.133 -0.263 24.113 -0.150 2008 9 21.121 0.567 0 0 20.679 0.125 22.555 1.134 2008 10 14.231 -0.563 0 0 13.789 -1.006 15.044 -0.618 2008 11 8.543 -1.170 0 0 8.101 -1.612 10.079 -0.500 2008 12 5.978 1.240 0 0 5.536 0.798 7.614 2.009 2009 1 0.851 -1.803 0 0 0.409 -2.245 2.176 -1.345 2009 2 4.756 1.672 0 0 4.314 1.230 4.745 0.794 2009 3 8.295 1.775 1 0 NaN NaN 7.363 -0.024 2009 4 13.874 2.583 0 0 13.432 2.141 13.599 1.441 2009 5 18.760 2.570 0 0 18.318 2.128 17.814 0.757 2009 6 22.698 1.895 0 0 22.256 1.452 21.715 0.045 2009 7 24.542 1.030 0 0 24.100 0.588 23.891 -0.488 2009 8 25.308 1.913 0 0 24.866 1.471 25.725 1.462 2009 9 20.174 -0.380 0 0 19.732 -0.822 21.280 -0.141 2009 10 14.806 0.012 0 0 14.364 -0.430 15.816 0.154 2009 11 11.385 1.673 0 0 10.943 1.231 13.034 2.454 2009 12 4.616 -0.122 0 0 4.174 -0.564 5.885 0.280 2010 1 2.228 -0.427 0 0 1.786 -0.869 2.561 -0.960 2010 2 1.246 -1.838 0 0 0.804 -2.280 1.777 -2.173 2010 3 9.892 3.373 0 0 9.450 2.930 9.272 1.885 2010 4 15.380 4.089 0 0 14.938 3.647 14.629 2.471 2010 5 20.299 4.109 0 0 19.857 3.667 18.678 1.621 2010 6 25.899 5.095 0 0 25.457 4.653 24.652 2.981 2010 7 26.638 3.125 0 0 26.196 2.683 26.356 1.976 2010 8 25.269 1.873 0 0 24.827 1.431 25.448 1.185 2010 9 22.544 1.991 0 0 22.102 1.549 23.164 1.743 2010 10 15.763 0.969 0 0 15.321 0.527 16.553 0.891 2010 11 9.702 -0.011 0 0 9.260 -0.453 11.186 0.606 2010 12 0.339 -4.399 0 4 0.751 -3.987 1.831 -3.774 2011 1 -0.572 -3.226 0 0 -0.159 -2.813 1.712 -1.810 2011 2 3.438 0.355 0 0 3.851 0.767 5.481 1.531 2011 3 6.165 -0.355 0 0 6.577 0.057 8.216 0.829 2011 4 13.093 1.802 0 0 13.505 2.214 14.743 2.586 2011 5 18.004 1.814 0 0 18.416 2.226 18.703 1.646 2011 6 22.141 1.337 0 0 22.553 1.750 23.739 2.068 2011 7 25.032 1.520 0 0 25.445 1.932 26.215 1.836 2011 8 22.642 -0.754 0 0 23.054 -0.342 25.200 0.937 2011 9 20.348 -0.205 0 0 20.760 0.207 22.751 1.331 2011 10 14.378 -0.417 0 0 14.790 -0.004 15.744 0.082 2011 11 10.352 0.640 0 0 10.765 1.052 12.924 2.344 2011 12 7.104 2.366 0 0 7.516 2.778 9.006 3.401 2012 1 4.659 2.005 0 0 5.072 2.418 6.460 2.939 2012 2 5.963 2.879 0 0 6.375 3.292 6.615 2.664 2012 3 12.088 5.568 0 0 12.500 5.980 12.384 4.997 2012 4 12.930 1.639 0 0 13.342 2.051 13.485 1.327 2012 5 20.054 3.864 0 0 20.466 4.276 19.094 2.037 2012 6 22.430 1.626 0 0 22.842 2.038 22.070 0.399 2012 7 26.550 3.038 0 0 26.963 3.450 26.909 2.530 2012 8 24.521 1.126 0 0 24.934 1.538 25.173 0.910 2012 9 NaN NaN NaN NaN NaN NaN 21.884 0.463 2012 10 NaN NaN NaN NaN NaN NaN 16.492 0.830 2012 11 NaN NaN NaN NaN NaN NaN 9.152 -1.428 2012 12 NaN NaN NaN NaN NaN NaN 8.758 3.153 2013 1 2.916 0.262 1 0 NaN NaN 5.139 1.618 2013 2 3.044 -0.040 0 0 3.456 0.372 4.127 0.176 2013 3 4.742 -1.778 0 0 5.154 -1.366 5.778 -1.609 2013 4 12.615 1.324 0 0 13.027 1.737 12.962 0.805 2013 5 17.308 1.119 0 0 17.721 1.531 17.201 0.144 2013 6 22.538 1.735 0 0 22.951 2.147 22.533 0.862 2013 7 25.504 1.992 0 0 25.916 2.404 25.495 1.115 2013 8 23.184 -0.212 0 0 23.596 0.201 23.704 -0.559 2013 9 19.406 -1.148 0 0 19.818 -0.736 21.049 -0.372 2013 10 15.335 0.540 0 0 15.747 0.953 16.906 1.244 2013 11 13.164 3.451 1 0 NaN NaN NaN NaN