% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33662 % Primary Name: LEEDS MANOR NEAR MARKHAM % Record Type: TAVG % Country: United States % State: VA % Latitude: 38.83330 +/- 0.00005 % Longitude: -77.98330 +/- 0.00005 % Elevation (m): 243.84 +/- 0.15 % # of Months: 115 % % Alternate Names: LEEDS MANOR NEAR MARKH % Missing Station ID - 444807 % % IDs: coop - 444807 % ghcnd - USC00444807 % ncdc - 12005755 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: c16c0566a3766ffa7f31591c9aa5c7a5 % Raw Data Hash: 0df9cb43b34b26813b43756846978c04 % Adj Data Hash: d3706971847d1d9ef3818dc354ef5406 % % 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 1913 10 NaN NaN NaN NaN NaN NaN 13.960 0.899 1913 11 NaN NaN NaN NaN NaN NaN 8.283 0.993 1913 12 NaN NaN NaN NaN NaN NaN 3.056 1.447 1914 1 NaN NaN NaN NaN NaN NaN 1.409 1.878 1914 2 NaN NaN NaN NaN NaN NaN -3.090 -3.891 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 15.090 1.886 0 0 15.090 1.886 14.782 1.721 1914 11 7.325 -0.109 0 0 7.325 -0.109 7.030 -0.261 1914 12 NaN NaN NaN NaN NaN NaN -0.902 -2.511 1915 1 0.978 1.304 0 0 0.978 1.304 0.341 0.810 1915 2 2.849 1.905 1 0 NaN NaN 2.028 1.227 1915 3 3.010 -2.935 0 0 3.010 -2.935 2.806 -2.995 1915 4 15.162 3.231 0 0 15.162 3.231 14.218 2.430 1915 5 16.008 -1.303 0 0 16.008 -1.303 15.582 -1.585 1915 6 19.952 -2.008 0 0 19.952 -2.008 20.167 -1.650 1915 7 23.242 -1.205 0 0 23.242 -1.205 23.524 -0.780 1915 8 21.783 -1.921 0 0 21.783 -1.921 22.371 -1.190 1915 9 20.867 0.986 0 0 20.867 0.986 20.881 1.144 1915 10 13.348 0.144 1 0 NaN NaN 13.814 0.752 1915 11 7.576 0.142 0 0 7.576 0.142 7.182 -0.109 1915 12 NaN NaN NaN NaN NaN NaN -0.022 -1.632 1916 1 3.524 3.850 0 0 3.524 3.850 2.768 3.237 1916 2 0.562 -0.382 0 0 0.562 -0.382 -0.622 -1.423 1916 3 2.744 -3.201 0 0 2.744 -3.201 2.150 -3.651 1916 4 11.437 -0.494 0 0 11.437 -0.494 11.014 -0.773 1916 5 18.529 1.218 0 0 18.529 1.218 17.803 0.636 1916 6 19.247 -2.713 0 0 19.247 -2.713 19.407 -2.410 1916 7 23.506 -0.941 0 0 23.506 -0.941 24.416 0.112 1916 8 23.188 -0.516 0 0 23.188 -0.516 23.496 -0.066 1916 9 18.177 -1.704 0 0 18.177 -1.704 18.704 -1.033 1916 10 13.011 -0.193 0 0 13.011 -0.193 12.546 -0.515 1916 11 7.593 0.160 0 0 7.593 0.160 7.301 0.011 1916 12 0.887 -0.865 0 0 0.887 -0.865 0.115 -1.494 1917 1 1.347 1.672 0 0 1.347 1.672 -0.067 0.402 1917 2 0.073 -0.871 0 0 0.073 -0.871 -1.017 -1.818 1917 3 5.024 -0.920 0 0 5.024 -0.920 5.145 -0.656 1917 4 11.238 -0.693 0 0 11.238 -0.693 11.603 -0.185 1917 5 14.306 -3.004 0 0 14.306 -3.004 13.952 -3.216 1917 6 21.038 -0.922 0 0 21.038 -0.922 21.212 -0.605 1917 7 22.944 -1.504 0 0 22.944 -1.504 23.905 -0.399 1917 8 22.306 -1.398 0 0 22.306 -1.398 23.347 -0.214 1917 9 16.678 -3.203 0 0 16.678 -3.203 17.125 -2.613 1917 10 9.585 -3.619 0 0 9.585 -3.619 9.886 -3.175 1917 11 5.686 -1.748 0 0 5.686 -1.748 5.402 -1.888 1917 12 -3.787 -5.540 0 0 -3.787 -5.540 -3.972 -5.581 1918 1 -6.053 -5.728 0 0 -6.053 -5.728 -6.519 -6.050 1918 2 1.538 0.593 0 0 1.538 0.593 -0.023 -0.824 1918 3 8.474 2.530 0 0 8.474 2.530 7.634 1.832 1918 4 10.482 -1.449 0 0 10.482 -1.449 10.936 -0.851 1918 5 19.550 2.239 0 0 19.550 2.239 19.701 2.534 1918 6 19.762 -2.198 0 0 19.762 -2.198 20.488 -1.329 1918 7 22.563 -1.884 0 0 22.563 -1.884 22.593 -1.711 1918 8 24.459 0.754 0 0 24.459 0.754 24.498 0.936 1918 9 17.065 -2.816 0 0 17.065 -2.816 17.457 -2.280 1918 10 15.397 2.192 0 0 15.397 2.192 14.616 1.555 1918 11 7.245 -0.189 0 0 7.245 -0.189 7.071 -0.220 1918 12 4.092 2.339 0 0 4.092 2.339 3.700 2.091 1919 1 2.715 3.040 0 0 2.715 3.040 1.510 1.979 1919 2 1.502 0.558 0 0 1.502 0.558 1.046 0.245 1919 3 7.135 1.191 0 0 7.135 1.191 7.387 1.586 1919 4 10.947 -0.984 0 0 10.947 -0.984 11.043 -0.744 1919 5 16.937 -0.374 0 0 16.937 -0.374 16.808 -0.360 1919 6 21.873 -0.087 0 0 21.873 -0.087 22.200 0.383 1919 7 24.308 -0.139 0 0 24.308 -0.139 24.146 -0.158 1919 8 21.663 -2.042 0 0 21.663 -2.042 22.129 -1.432 1919 9 20.415 0.534 0 0 20.415 0.534 20.074 0.336 1919 10 16.408 3.203 0 0 16.408 3.203 16.158 3.097 1919 11 6.846 -0.588 0 0 6.846 -0.588 7.509 0.218 1919 12 -2.097 -3.849 0 0 -2.097 -3.849 -1.757 -3.367 1920 1 -2.811 -2.486 0 0 -2.811 -2.486 -3.417 -2.948 1920 2 -1.014 -1.958 0 0 -1.014 -1.958 -1.348 -2.149 1920 3 6.268 0.323 0 0 6.268 0.323 5.831 0.030 1920 4 9.518 -2.413 0 0 9.518 -2.413 10.554 -1.234 1920 5 14.515 -2.796 0 0 14.515 -2.796 14.513 -2.654 1920 6 21.221 -0.740 0 0 21.221 -0.740 20.788 -1.029 1920 7 NaN NaN NaN NaN NaN NaN 22.757 -1.547 1920 8 22.263 -1.442 0 0 22.263 -1.442 22.930 -0.631 1920 9 19.853 -0.028 0 0 19.853 -0.028 19.848 0.111 1920 10 NaN NaN NaN NaN NaN NaN 15.044 1.983 1920 11 6.810 -0.624 0 0 6.810 -0.624 6.802 -0.488 1920 12 2.525 0.772 0 0 2.525 0.772 2.261 0.652 1921 1 2.139 2.464 0 0 2.139 2.464 1.009 1.477 1921 2 3.268 2.324 0 0 3.268 2.324 2.213 1.412 1921 3 11.395 5.451 0 0 11.395 5.451 11.805 6.004 1921 4 14.391 2.460 0 0 14.391 2.460 14.699 2.912 1921 5 15.845 -1.466 0 0 15.845 -1.466 16.137 -1.030 1921 6 22.363 0.403 0 0 22.363 0.403 22.398 0.581 1921 7 25.216 0.768 0 0 25.216 0.768 25.591 1.287 1921 8 21.781 -1.924 0 0 21.781 -1.924 21.725 -1.837 1921 9 22.507 2.627 0 0 22.507 2.627 22.662 2.925 1921 10 13.466 0.262 0 0 13.466 0.262 12.562 -0.499 1921 11 7.768 0.335 0 0 7.768 0.335 8.039 0.749 1921 12 2.463 0.710 0 0 2.463 0.710 1.339 -0.271 1922 1 -1.081 -0.755 0 0 -1.081 -0.755 -2.037 -1.569 1922 2 2.976 2.032 1 0 NaN NaN 1.879 1.078 1922 3 6.585 0.641 0 0 6.585 0.641 6.521 0.720 1922 4 11.817 -0.114 0 0 11.817 -0.114 12.245 0.458 1922 5 17.897 0.586 0 0 17.897 0.586 18.024 0.857 1922 6 22.242 0.282 0 0 22.242 0.282 22.596 0.779 1922 7 23.465 -0.982 0 0 23.465 -0.982 23.837 -0.467 1922 8 21.755 -1.950 0 0 21.755 -1.950 22.107 -1.455 1922 9 20.712 0.831 0 0 20.712 0.831 20.614 0.877 1922 10 15.194 1.990 0 0 15.194 1.990 14.102 1.041 1922 11 8.773 1.340 0 0 8.773 1.340 8.015 0.724 1922 12 2.765 1.012 0 0 2.765 1.012 1.288 -0.321 1923 1 1.405 1.730 0 0 1.405 1.730 0.543 1.011 1923 2 -0.273 -1.217 0 0 -0.273 -1.217 -1.650 -2.451 1923 3 6.377 0.433 0 0 6.377 0.433 6.152 0.351 1923 4 11.108 -0.823 0 0 11.108 -0.823 11.016 -0.772 1923 5 16.252 -1.059 0 0 16.252 -1.059 15.920 -1.247 1923 6 23.332 1.372 0 0 23.332 1.372 23.019 1.202 1923 7 22.574 -1.873 0 0 22.574 -1.873 23.491 -0.813 1923 8 21.801 -1.904 0 0 21.801 -1.904 22.603 -0.959 1923 9 19.281 -0.600 0 0 19.281 -0.600 20.318 0.581 1923 10 14.449 1.244 0 0 14.449 1.244 12.119 -0.943 1923 11 NaN NaN NaN NaN NaN NaN 6.593 -0.697 1923 12 NaN NaN NaN NaN NaN NaN 5.506 3.897 1924 1 NaN NaN NaN NaN NaN NaN -0.002 0.466 1924 2 0.213 -0.731 0 0 0.213 -0.731 -0.737 -1.537 1924 3 4.415 -1.529 0 0 4.415 -1.529 4.896 -0.905 1924 4 9.182 -2.749 0 0 9.182 -2.749 10.068 -1.720 1924 5 11.474 -5.836 1 0 NaN NaN 14.535 -2.633 1924 6 17.754 -4.206 0 0 17.754 -4.206 20.486 -1.331 1924 7 21.115 -3.333 0 0 21.115 -3.333 22.832 -1.472 1924 8 22.919 -0.786 0 0 22.919 -0.786 22.967 -0.594 1924 9 17.745 -2.135 1 0 NaN NaN 17.352 -2.385 1924 10 15.483 2.279 0 0 15.483 2.279 12.843 -0.219 1924 11 8.456 1.023 0 0 8.456 1.023 6.970 -0.320 1924 12 NaN NaN NaN NaN NaN NaN 0.824 -0.786 1925 1 NaN NaN NaN NaN NaN NaN -1.761 -1.292 1925 2 NaN NaN NaN NaN NaN NaN 3.653 2.852 1925 3 NaN NaN NaN NaN NaN NaN 6.898 1.097 1925 4 NaN NaN NaN NaN NaN NaN 12.818 1.031 1925 5 NaN NaN NaN NaN NaN NaN 14.565 -2.603 1925 6 NaN NaN NaN NaN NaN NaN 24.040 2.223 1925 7 NaN NaN NaN NaN NaN NaN 23.553 -0.752 1925 8 NaN NaN NaN NaN NaN NaN 22.077 -1.485 1925 9 NaN NaN NaN NaN NaN NaN 22.086 2.349 1925 10 NaN NaN NaN NaN NaN NaN 9.890 -3.171 1925 11 NaN NaN NaN NaN NaN NaN 6.060 -1.231