% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34243 % Primary Name: ELLICOTT CITY % Record Type: TAVG % Country: United States % State: MD % Latitude: 39.28330 +/- 0.00005 % Longitude: -76.88330 +/- 0.00005 % Elevation (m): 91.44 +/- 0.15 % # of Months: 61 % % Alternate Names: Missing Station ID - 182875 % % IDs: coop - 182875 % ghcnd - USC00182875 % ncdc - 12002311 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: ffae9ca44d42eb752d671c76e831eb11 % Raw Data Hash: 35ef2b5dda9f0a59b92b98207a73f90c % Adj Data Hash: 88f97e1e215a8e56661a4bee8c28594b % % 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 1894 4 NaN NaN NaN NaN NaN NaN 11.018 -0.770 1894 5 NaN NaN NaN NaN NaN NaN 17.755 0.588 1894 6 NaN NaN NaN NaN NaN NaN 21.989 0.172 1894 7 NaN NaN NaN NaN NaN NaN 24.664 0.360 1894 8 NaN NaN NaN NaN NaN NaN 22.325 -1.236 1894 9 NaN NaN NaN NaN NaN NaN 21.192 1.455 1894 10 NaN NaN NaN NaN NaN NaN 13.244 0.183 1894 11 NaN NaN NaN NaN NaN NaN 5.923 -1.367 1894 12 NaN NaN NaN NaN NaN NaN 1.653 0.044 1895 1 NaN NaN NaN NaN NaN NaN -2.145 -1.676 1895 2 NaN NaN NaN NaN NaN NaN -4.809 -5.610 1895 3 NaN NaN NaN NaN NaN NaN 4.424 -1.377 1895 4 12.000 0.287 0 0 10.991 -0.722 11.306 -0.482 1895 5 16.989 -0.103 0 0 15.980 -1.112 16.270 -0.898 1895 6 23.315 1.573 0 0 22.306 0.564 22.815 0.999 1895 7 22.563 -1.666 0 0 21.554 -2.675 21.998 -2.306 1895 8 25.251 1.764 0 0 24.242 0.755 24.216 0.655 1895 9 23.056 3.393 0 0 22.046 2.384 21.800 2.063 1895 10 12.981 -0.005 0 0 11.972 -1.014 10.051 -3.010 1895 11 9.370 2.155 0 0 8.361 1.146 7.849 0.558 1895 12 4.444 2.910 0 0 3.435 1.901 2.233 0.624 1896 1 1.470 2.013 0 0 0.460 1.004 -0.752 -0.284 1896 2 2.414 1.688 0 0 1.405 0.679 0.695 -0.106 1896 3 3.613 -2.113 0 0 2.604 -3.122 2.400 -3.402 1896 4 13.778 2.065 0 0 12.769 1.056 13.519 1.731 1896 5 20.233 3.140 0 0 19.224 2.131 19.474 2.306 1896 6 21.190 -0.551 0 0 20.181 -1.560 20.944 -0.873 1896 7 NaN NaN NaN NaN NaN NaN 24.465 0.161 1896 8 NaN NaN NaN NaN NaN NaN 23.704 0.143 1896 9 NaN NaN NaN NaN NaN NaN 19.505 -0.233 1896 10 NaN NaN NaN NaN NaN NaN 11.088 -1.973 1896 11 11.296 4.081 0 0 10.287 3.072 10.004 2.713 1896 12 3.297 1.763 0 0 2.288 0.754 0.481 -1.129 1897 1 -0.185 0.359 0 0 -1.194 -0.651 -2.118 -1.649 1897 2 2.123 1.397 0 0 1.114 0.388 0.696 -0.105 1897 3 7.348 1.621 0 0 6.339 0.612 6.614 0.813 1897 4 11.548 -0.164 0 0 10.539 -1.173 11.222 -0.565 1897 5 16.882 -0.211 0 0 15.873 -1.220 15.930 -1.238 1897 6 NaN NaN NaN NaN NaN NaN 20.051 -1.766 1897 7 NaN NaN NaN NaN NaN NaN 24.312 0.008 1897 8 NaN NaN NaN NaN NaN NaN 22.305 -1.256 1897 9 NaN NaN NaN NaN NaN NaN 19.698 -0.040 1897 10 14.000 1.014 1 0 NaN NaN 13.524 0.463 1897 11 6.889 -0.327 0 4 7.489 0.273 7.281 -0.010 1897 12 2.348 0.813 0 0 2.948 1.413 1.980 0.370 1898 1 1.882 2.425 0 0 2.482 3.025 1.081 1.550 1898 2 0.456 -0.270 0 0 1.056 0.330 0.070 -0.731 1898 3 8.222 2.496 0 0 8.822 3.096 8.659 2.858 1898 4 10.185 -1.528 0 0 10.785 -0.928 9.941 -1.847 1898 5 17.222 0.130 0 0 17.822 0.730 17.109 -0.058 1898 6 21.628 -0.113 0 0 22.228 0.487 22.253 0.436 1898 7 25.179 0.950 0 0 25.779 1.550 25.500 1.195 1898 8 23.656 0.169 0 0 24.256 0.769 24.332 0.771 1898 9 20.519 0.856 0 0 21.119 1.456 21.170 1.432 1898 10 13.441 0.455 0 0 14.041 1.055 13.528 0.467 1898 11 5.648 -1.567 0 0 6.248 -0.967 6.318 -0.973 1898 12 1.039 -0.495 0 0 1.639 0.105 0.573 -1.036 1899 1 -0.556 -0.012 0 0 0.044 0.588 -0.874 -0.405 1899 2 -4.206 -4.932 0 0 -3.606 -4.332 -4.108 -4.909 1899 3 4.875 -0.852 0 0 5.475 -0.252 4.829 -0.972 1899 4 10.652 -1.061 1 0 NaN NaN 11.907 0.120 1899 5 16.810 -0.282 0 0 17.410 0.318 17.342 0.175 1899 6 22.685 0.943 0 0 23.285 1.543 22.860 1.043 1899 7 23.423 -0.806 0 0 24.023 -0.206 24.387 0.083 1899 8 22.814 -0.673 0 0 23.414 -0.073 23.501 -0.060 1899 9 18.621 -1.042 0 0 19.221 -0.442 18.736 -1.002 1899 10 13.513 0.526 0 0 14.113 1.126 13.637 0.576 1899 11 7.556 0.340 0 0 8.156 0.940 7.207 -0.084 1899 12 1.541 0.007 0 0 2.141 0.607 1.087 -0.522 1900 1 0.556 1.099 0 0 1.156 1.699 0.207 0.676 1900 2 -0.652 -1.378 0 0 -0.052 -0.778 -0.792 -1.593 1900 3 2.519 -3.208 0 0 3.119 -2.608 2.834 -2.967 1900 4 10.722 -0.990 0 0 11.322 -0.390 11.722 -0.066 1900 5 16.219 -0.874 0 0 16.819 -0.274 17.104 -0.064 1900 6 19.648 -2.094 0 0 20.248 -1.494 22.002 0.186 1900 7 20.735 -3.494 0 0 21.335 -2.894 25.421 1.117 1900 8 21.022 -2.465 0 0 21.622 -1.865 25.702 2.140 1900 9 17.796 -1.866 0 0 18.396 -1.266 22.674 2.937 1900 10 11.559 -1.427 0 0 12.159 -0.827 15.712 2.651 1900 11 3.833 -3.382 0 0 4.433 -2.782 8.921 1.631 1900 12 -0.345 -1.879 0 0 0.255 -1.279 0.850 -0.760 1901 1 NaN NaN NaN NaN NaN NaN -0.291 0.178 1901 2 NaN NaN NaN NaN NaN NaN -3.292 -4.093 1901 3 NaN NaN NaN NaN NaN NaN 6.035 0.234 1901 4 NaN NaN NaN NaN NaN NaN 9.941 -1.847 1901 5 NaN NaN NaN NaN NaN NaN 16.148 -1.020 1901 6 NaN NaN NaN NaN NaN NaN 21.581 -0.236 1901 7 NaN NaN NaN NaN NaN NaN 26.049 1.745 1901 8 NaN NaN NaN NaN NaN NaN 23.868 0.307 1901 9 NaN NaN NaN NaN NaN NaN 19.329 -0.408 1901 10 NaN NaN NaN NaN NaN NaN 12.317 -0.744 1901 11 NaN NaN NaN NaN NaN NaN 4.231 -3.060 1901 12 NaN NaN NaN NaN NaN NaN -0.316 -1.926