% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33069 % Primary Name: ST MARY'S RGNL/LE % Record Type: TAVG % Country: United States % State: MD % Latitude: 38.31700 +/- 0.00050 % Longitude: -76.55000 +/- 0.00050 % Elevation (m): 43.00 +/- 0.05 % # of Months: 75 % % IDs: gsod - 720389-99999 % icao - K2W6 % usaf - 720389 % % Sources: Global Summary of the Day % % Site Hash: 317775f28647a1b62fb5b26165644be4 % Raw Data Hash: d46aaafcd6e18d9ce1ac0ce5146bfb75 % Adj Data Hash: c4fd49701d952dd4feeafee7b279b96e % % 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 2006 5 NaN NaN NaN NaN NaN NaN 17.930 -0.766 2006 6 NaN NaN NaN NaN NaN NaN 23.012 0.084 2006 7 NaN NaN NaN NaN NaN NaN 26.305 1.034 2006 8 NaN NaN NaN NaN NaN NaN 26.539 1.877 2006 9 NaN NaN NaN NaN NaN NaN 20.140 -0.885 2006 10 NaN NaN NaN NaN NaN NaN 13.599 -0.799 2006 11 NaN NaN NaN NaN NaN NaN 10.962 2.006 2006 12 NaN NaN NaN NaN NaN NaN 7.051 3.318 2007 1 NaN NaN NaN NaN NaN NaN 5.447 3.426 2007 2 NaN NaN NaN NaN NaN NaN 0.261 -3.068 2007 3 NaN NaN NaN NaN NaN NaN 10.140 2.029 2007 4 NaN NaN NaN NaN NaN NaN 13.449 -0.353 2007 5 20.511 2.583 1 0 NaN NaN 19.052 0.356 2007 6 22.307 0.148 0 0 22.289 0.129 23.555 0.627 2007 7 24.043 -0.461 0 0 24.024 -0.479 25.219 -0.052 2007 8 25.581 1.686 0 0 25.562 1.667 26.385 1.723 2007 9 21.922 1.665 0 0 21.903 1.646 22.404 1.378 2007 10 19.124 5.494 0 0 19.105 5.475 18.280 3.882 2007 11 8.702 0.514 0 0 8.683 0.495 9.699 0.743 2007 12 4.708 1.743 0 0 4.689 1.724 5.490 1.756 2008 1 3.672 2.419 0 0 3.653 2.400 3.427 1.406 2008 2 3.757 1.196 0 0 3.738 1.177 4.986 1.657 2008 3 8.658 1.315 0 0 8.639 1.296 9.815 1.703 2008 4 13.696 0.662 0 0 13.677 0.644 14.964 1.162 2008 5 16.810 -1.118 0 0 16.791 -1.137 17.728 -0.968 2008 6 23.844 1.685 0 0 23.826 1.666 25.001 2.073 2008 7 24.441 -0.063 0 0 24.422 -0.082 25.636 0.364 2008 8 22.776 -1.119 0 0 22.757 -1.137 24.395 -0.267 2008 9 21.128 0.871 0 0 21.110 0.852 21.974 0.949 2008 10 13.744 0.114 0 0 13.725 0.095 13.677 -0.721 2008 11 8.900 0.712 0 4 7.854 -0.334 8.596 -0.360 2008 12 6.579 3.614 0 0 5.533 2.567 5.487 1.754 2009 1 1.315 0.062 0 0 0.269 -0.984 0.639 -1.382 2009 2 5.581 3.020 0 0 4.535 1.974 4.435 1.106 2009 3 7.803 0.460 0 0 6.757 -0.587 7.913 -0.199 2009 4 14.763 1.729 0 0 13.717 0.683 14.963 1.161 2009 5 19.045 1.117 0 0 17.999 0.070 19.238 0.542 2009 6 23.057 0.898 0 0 22.011 -0.149 23.300 0.372 2009 7 24.747 0.244 0 0 23.701 -0.803 24.291 -0.981 2009 8 25.941 2.046 0 0 24.895 1.000 26.046 1.383 2009 9 20.430 0.172 0 0 19.383 -0.874 20.752 -0.273 2009 10 14.500 0.870 0 0 13.454 -0.176 14.108 -0.290 2009 11 9.816 1.628 0 4 10.116 1.928 11.323 2.367 2009 12 2.810 -0.155 0 0 3.109 0.144 3.000 -0.733 2010 1 0.918 -0.335 0 0 1.217 -0.036 1.278 -0.743 2010 2 0.274 -2.287 0 0 0.573 -1.988 0.551 -2.778 2010 3 9.036 1.693 0 0 9.335 1.992 10.210 2.098 2010 4 14.374 1.340 0 0 14.674 1.640 16.471 2.669 2010 5 18.857 0.929 0 0 19.156 1.228 20.338 1.642 2010 6 24.591 2.431 0 0 24.890 2.730 26.055 3.127 2010 7 25.867 1.364 0 0 26.167 1.663 27.397 2.125 2010 8 24.254 0.360 0 0 24.554 0.659 26.076 1.413 2010 9 21.681 1.424 0 0 21.981 1.723 23.316 2.291 2010 10 14.509 0.879 0 0 14.808 1.178 15.463 1.065 2010 11 8.180 -0.008 0 0 8.479 0.291 9.589 0.633 2010 12 1.443 -1.522 1 0 NaN NaN 0.109 -3.624 2011 1 -0.002 -1.255 0 0 0.298 -0.955 0.559 -1.462 2011 2 4.462 1.901 0 0 4.762 2.201 5.390 2.061 2011 3 6.851 -0.492 0 0 7.151 -0.192 8.813 0.702 2011 4 14.250 1.216 0 0 14.549 1.516 16.387 2.585 2011 5 18.552 0.624 0 0 18.851 0.923 19.810 1.114 2011 6 23.125 0.965 0 0 23.424 1.264 24.521 1.593 2011 7 25.792 1.289 0 0 26.092 1.588 27.080 1.809 2011 8 23.337 -0.558 0 0 23.636 -0.258 25.429 0.766 2011 9 20.320 0.063 0 0 20.620 0.362 22.157 1.132 2011 10 13.799 0.169 0 0 14.099 0.469 14.221 -0.177 2011 11 10.656 2.468 0 0 10.955 2.767 11.484 2.529 2011 12 7.011 4.046 0 0 7.310 4.345 6.920 3.187 2012 1 4.785 3.532 0 0 5.084 3.831 4.768 2.747 2012 2 5.899 3.338 0 0 6.199 3.638 5.863 2.534 2012 3 12.385 5.042 0 0 12.685 5.342 13.946 5.835 2012 4 13.030 -0.004 0 0 13.329 0.295 14.552 0.751 2012 5 19.570 1.642 0 0 19.869 1.941 20.726 2.030 2012 6 22.252 0.092 0 0 22.551 0.391 22.740 -0.187 2012 7 26.720 2.217 0 0 27.020 2.516 27.631 2.359 2012 8 24.357 0.462 0 0 24.656 0.762 25.276 0.614 2012 9 19.957 -0.300 0 0 20.257 -0.001 21.158 0.133 2012 10 14.670 1.040 0 0 14.970 1.340 14.819 0.421 2012 11 6.426 -1.762 0 0 6.725 -1.462 7.458 -1.498 2012 12 6.556 3.590 0 0 6.855 3.890 6.864 3.131 2013 1 4.097 2.844 0 0 4.396 3.143 4.060 2.039 2013 2 2.819 0.258 0 0 3.119 0.558 3.067 -0.262 2013 3 4.849 -2.494 0 0 5.149 -2.194 5.806 -2.306 2013 4 13.289 0.255 0 0 13.588 0.554 15.046 1.245 2013 5 17.511 -0.417 0 0 17.810 -0.118 18.371 -0.325 2013 6 22.463 0.303 1 0 NaN NaN 23.653 0.725 2013 7 25.050 0.547 0 0 25.350 0.846 26.022 0.751 2013 8 NaN NaN NaN NaN NaN NaN 23.601 -1.061 2013 9 NaN NaN NaN NaN NaN NaN 20.498 -0.527 2013 10 NaN NaN NaN NaN NaN NaN 15.326 0.928