% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34619 % Primary Name: UNION BRIDGE % Record Type: TAVG % Country: United States % State: MD % Latitude: 39.56670 +/- 0.00005 % Longitude: -77.16670 +/- 0.00005 % Elevation (m): 140.21 +/- 0.15 % # of Months: 48 % % Alternate Names: Missing Station ID - 188990 % % IDs: coop - 188990 % ghcnd - USC00188990 % ncdc - 12002370 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 01738d64e9ec0c4bf4158ee7ebb6c8de % Raw Data Hash: 4ab95443667f38073a13b37f7c598372 % Adj Data Hash: 5998f35f9c90a292508e5c59f3c48f05 % % 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 1914 3 NaN NaN NaN NaN NaN NaN 3.349 -2.452 1914 4 NaN NaN NaN NaN NaN NaN 11.021 -0.767 1914 5 NaN NaN NaN NaN NaN NaN 18.138 0.971 1914 6 NaN NaN NaN NaN NaN NaN 22.176 0.359 1914 7 NaN NaN NaN NaN NaN NaN 23.465 -0.839 1914 8 NaN NaN NaN NaN NaN NaN 23.619 0.058 1914 9 NaN NaN NaN NaN NaN NaN 18.301 -1.437 1914 10 NaN NaN NaN NaN NaN NaN 14.782 1.721 1914 11 NaN NaN NaN NaN NaN NaN 7.030 -0.261 1914 12 NaN NaN NaN NaN NaN NaN -0.902 -2.511 1915 1 NaN NaN NaN NaN NaN NaN 0.341 0.810 1915 2 NaN NaN NaN NaN NaN NaN 2.028 1.227 1915 3 2.876 -2.797 1 0 NaN NaN 2.806 -2.995 1915 4 13.631 1.971 0 0 13.631 1.971 14.218 2.430 1915 5 15.574 -1.465 0 0 15.574 -1.465 15.582 -1.585 1915 6 20.008 -1.681 0 0 20.008 -1.681 20.167 -1.650 1915 7 23.344 -0.833 0 0 23.344 -0.833 23.524 -0.780 1915 8 22.002 -1.432 0 0 22.002 -1.432 22.371 -1.190 1915 9 20.348 0.739 0 0 20.348 0.739 20.881 1.144 1915 10 14.204 1.271 0 0 14.204 1.271 13.814 0.752 1915 11 6.247 -0.916 0 0 6.247 -0.916 7.182 -0.109 1915 12 -0.019 -1.501 0 0 -0.019 -1.501 -0.022 -1.632 1916 1 3.052 3.649 0 0 3.052 3.649 2.768 3.237 1916 2 NaN NaN NaN NaN NaN NaN -0.622 -1.423 1916 3 1.900 -3.773 0 0 1.900 -3.773 2.150 -3.651 1916 4 11.123 -0.537 0 0 11.123 -0.537 11.014 -0.773 1916 5 17.892 0.852 0 0 17.892 0.852 17.803 0.636 1916 6 19.302 -2.387 0 0 19.302 -2.387 19.407 -2.410 1916 7 24.513 0.337 0 0 24.513 0.337 24.416 0.112 1916 8 23.295 -0.139 0 0 23.295 -0.139 23.496 -0.066 1916 9 18.312 -1.298 0 0 18.312 -1.298 18.704 -1.033 1916 10 12.669 -0.264 0 0 12.669 -0.264 12.546 -0.515 1916 11 7.053 -0.109 0 0 7.053 -0.109 7.301 0.011 1916 12 0.047 -1.435 0 0 0.047 -1.435 0.115 -1.494 1917 1 0.139 0.735 0 0 0.139 0.735 -0.067 0.402 1917 2 -0.213 -0.886 0 0 -0.213 -0.886 -1.017 -1.818 1917 3 5.061 -0.612 0 0 5.061 -0.612 5.145 -0.656 1917 4 11.363 -0.297 0 0 11.363 -0.297 11.603 -0.185 1917 5 14.073 -2.967 0 0 14.073 -2.967 13.952 -3.216 1917 6 20.973 -0.716 0 0 20.973 -0.716 21.212 -0.605 1917 7 23.858 -0.319 0 0 23.858 -0.319 23.905 -0.399 1917 8 22.891 -0.543 1 0 NaN NaN 23.347 -0.214 1917 9 16.549 -3.061 0 0 16.549 -3.061 17.125 -2.613 1917 10 10.229 -2.704 0 0 10.229 -2.704 9.886 -3.175 1917 11 4.583 -2.579 0 0 4.583 -2.579 5.402 -1.888 1917 12 -4.369 -5.851 0 0 -4.369 -5.851 -3.972 -5.581 1918 1 -6.568 -5.972 0 0 -6.568 -5.972 -6.519 -6.050 1918 2 0.370 -0.304 0 0 0.370 -0.304 -0.023 -0.824 1918 3 7.952 2.279 0 0 7.952 2.279 7.634 1.832 1918 4 10.391 -1.269 0 0 10.391 -1.269 10.936 -0.851 1918 5 20.610 3.570 0 0 20.610 3.570 19.701 2.534 1918 6 21.085 -0.604 0 0 21.085 -0.604 20.488 -1.329 1918 7 22.176 -2.000 0 0 22.176 -2.000 22.593 -1.711 1918 8 24.185 0.752 0 0 24.185 0.752 24.498 0.936 1918 9 16.690 -2.919 0 0 16.690 -2.919 17.457 -2.280 1918 10 14.822 1.889 0 0 14.822 1.889 14.616 1.555 1918 11 6.195 -0.968 0 0 6.195 -0.968 7.071 -0.220 1918 12 3.735 2.254 0 0 3.735 2.254 3.700 2.091 1919 1 NaN NaN NaN NaN NaN NaN 1.510 1.979 1919 2 NaN NaN NaN NaN NaN NaN 1.046 0.245 1919 3 NaN NaN NaN NaN NaN NaN 7.387 1.586 1919 4 NaN NaN NaN NaN NaN NaN 11.043 -0.744 1919 5 NaN NaN NaN NaN NaN NaN 16.808 -0.360 1919 6 NaN NaN NaN NaN NaN NaN 22.200 0.383 1919 7 23.740 -0.436 0 0 23.740 -0.436 24.146 -0.158 1919 8 21.466 -1.968 0 0 21.466 -1.968 22.129 -1.432 1919 9 19.639 0.030 0 0 19.639 0.030 20.074 0.336 1919 10 NaN NaN NaN NaN NaN NaN 16.158 3.097 1919 11 NaN NaN NaN NaN NaN NaN 7.509 0.218 1919 12 NaN NaN NaN NaN NaN NaN -1.757 -3.367 1920 1 NaN NaN NaN NaN NaN NaN -3.417 -2.948 1920 2 NaN NaN NaN NaN NaN NaN -1.348 -2.149 1920 3 NaN NaN NaN NaN NaN NaN 5.831 0.030 1920 4 NaN NaN NaN NaN NaN NaN 10.554 -1.234 1920 5 NaN NaN NaN NaN NaN NaN 14.513 -2.654 1920 6 NaN NaN NaN NaN NaN NaN 20.788 -1.029 1920 7 NaN NaN NaN NaN NaN NaN 22.757 -1.547 1920 8 NaN NaN NaN NaN NaN NaN 22.930 -0.631 1920 9 NaN NaN NaN NaN NaN NaN 19.848 0.111