% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32184 % Primary Name: BIRDSNEST % Record Type: TAVG % Country: United States % State: VA % Latitude: 37.41670 +/- 0.00005 % Longitude: -75.86670 +/- 0.00005 % Elevation (m): 12.19 +/- 0.15 % # of Months: 108 % % Alternate Names: Missing Station ID - 440755 % % IDs: coop - 440755 % ghcnd - USC00440755 % ncdc - 12005717 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 871931f9a2e6df23a6a1fb44566981d0 % Raw Data Hash: 0d148d2a5c84bdc0852b0f719c35b8f8 % Adj Data Hash: a9dc59c9038c62e55d7356c7b4b7aace % % 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 1892 1 NaN NaN NaN NaN NaN NaN 2.749 -0.772 1892 2 NaN NaN NaN NaN NaN NaN 3.535 -0.416 1892 3 NaN NaN NaN NaN NaN NaN 4.358 -3.029 1892 4 NaN NaN NaN NaN NaN NaN 11.032 -1.126 1892 5 NaN NaN NaN NaN NaN NaN 16.539 -0.518 1892 6 NaN NaN NaN NaN NaN NaN 22.890 1.220 1892 7 NaN NaN NaN NaN NaN NaN 23.557 -0.823 1892 8 NaN NaN NaN NaN NaN NaN 24.563 0.300 1892 9 NaN NaN NaN NaN NaN NaN 20.433 -0.987 1892 10 NaN NaN NaN NaN NaN NaN 14.222 -1.439 1892 11 NaN NaN NaN NaN NaN NaN 9.123 -1.456 1892 12 NaN NaN NaN NaN NaN NaN 3.088 -2.517 1893 1 -1.882 -6.022 0 0 -2.112 -6.252 -2.332 -5.853 1893 2 4.246 -0.323 0 0 3.951 -0.618 3.323 -0.628 1893 3 6.290 -1.715 0 0 5.911 -2.095 5.536 -1.851 1893 4 14.185 1.409 0 0 13.702 0.925 12.302 0.144 1893 5 18.620 0.945 0 0 18.027 0.352 16.155 -0.902 1893 6 23.315 1.026 0 0 22.648 0.359 21.291 -0.380 1893 7 25.699 0.701 0 0 25.025 0.027 24.164 -0.216 1893 8 24.642 -0.240 0 0 24.023 -0.858 23.625 -0.638 1893 9 20.907 -1.132 0 0 20.389 -1.650 20.466 -0.955 1893 10 15.753 -0.528 0 0 15.363 -0.918 15.111 -0.551 1893 11 9.667 -1.531 0 0 9.395 -1.803 9.663 -0.917 1893 12 NaN NaN NaN NaN NaN NaN 5.987 0.382 1894 1 5.896 1.756 0 0 5.666 1.526 5.181 1.660 1894 2 4.702 0.133 0 0 4.408 -0.162 3.520 -0.430 1894 3 10.466 2.460 0 0 10.086 2.081 9.346 1.959 1894 4 12.148 -0.628 0 0 11.665 -1.112 11.175 -0.982 1894 5 20.072 2.396 0 0 19.479 1.804 17.983 0.926 1894 6 24.185 1.896 0 0 23.519 1.229 21.890 0.219 1894 7 26.147 1.149 0 0 25.473 0.475 24.791 0.411 1894 8 23.853 -1.028 0 0 23.234 -1.647 22.674 -1.589 1894 9 23.315 1.276 0 0 22.797 0.757 22.847 1.426 1894 10 16.505 0.225 0 0 16.116 -0.165 15.630 -0.032 1894 11 8.889 -2.309 0 0 8.617 -2.581 8.935 -1.645 1894 12 5.806 -0.417 0 0 5.593 -0.630 5.557 -0.048 1895 1 2.885 -1.255 0 0 2.655 -1.485 2.639 -0.882 1895 2 -1.131 -5.700 0 0 -1.426 -5.995 -2.400 -6.351 1895 3 6.828 -1.178 0 0 6.448 -1.557 5.927 -1.460 1895 4 12.796 0.020 0 0 12.313 -0.464 11.823 -0.335 1895 5 17.151 -0.525 0 0 16.558 -1.118 15.852 -1.205 1895 6 24.111 1.822 0 0 23.444 1.155 22.692 1.021 1895 7 24.158 -0.840 0 0 23.484 -1.514 22.794 -1.585 1895 8 26.308 1.427 0 0 25.689 0.808 25.010 0.747 1895 9 24.204 2.164 0 0 23.686 1.646 23.257 1.836 1895 10 13.978 -2.302 0 0 13.589 -2.692 12.558 -3.103 1895 11 10.185 -1.013 0 0 9.914 -1.285 11.229 0.649 1895 12 6.093 -0.131 0 0 5.880 -0.344 6.301 0.696 1896 1 3.029 -1.111 0 0 2.798 -1.342 2.129 -1.393 1896 2 4.387 -0.182 1 0 NaN NaN 3.396 -0.555 1896 3 NaN NaN NaN NaN NaN NaN 4.886 -2.501 1896 4 14.315 1.539 0 0 13.831 1.055 13.068 0.910 1896 5 21.756 4.081 0 0 21.164 3.488 19.118 2.061 1896 6 23.759 1.470 0 0 23.093 0.803 21.215 -0.456 1896 7 26.595 1.597 0 0 25.921 0.923 24.487 0.107 1896 8 25.824 0.943 0 0 25.206 0.324 24.118 -0.145 1896 9 21.333 -0.706 0 0 20.815 -1.224 20.466 -0.954 1896 10 14.624 -1.657 0 0 14.234 -2.047 13.416 -2.246 1896 11 12.981 1.783 0 0 12.710 1.512 12.838 2.258 1896 12 3.961 -2.263 0 0 3.747 -2.476 3.616 -1.989 1897 1 2.652 -1.488 0 0 2.422 -1.718 1.843 -1.678 1897 2 4.980 0.411 0 0 4.686 0.116 3.806 -0.145 1897 3 9.749 1.743 0 0 9.369 1.364 8.330 0.943 1897 4 13.296 0.520 0 0 12.813 0.036 11.831 -0.327 1897 5 18.315 0.640 0 0 17.723 0.047 16.197 -0.860 1897 6 23.074 0.785 0 0 22.407 0.118 20.338 -1.333 1897 7 26.434 1.436 0 0 25.760 0.761 24.238 -0.141 1897 8 25.305 0.423 0 0 24.686 -0.195 23.416 -0.847 1897 9 22.111 0.072 0 0 21.593 -0.446 21.261 -0.160 1897 10 17.455 1.175 0 0 17.065 0.785 16.206 0.544 1897 11 11.167 -0.031 0 0 10.895 -0.303 11.108 0.528 1897 12 6.631 0.407 0 0 6.418 0.194 6.162 0.557 1898 1 5.842 1.702 0 0 5.612 1.472 4.951 1.430 1898 2 4.067 -0.502 0 0 3.773 -0.796 3.427 -0.524 1898 3 10.860 2.855 0 0 10.480 2.475 9.790 2.403 1898 4 11.889 -0.887 0 0 11.405 -1.371 10.365 -1.792 1898 5 18.387 0.712 0 0 17.794 0.119 16.316 -0.741 1898 6 23.556 1.266 0 0 22.889 0.600 21.323 -0.347 1898 7 26.470 1.471 0 0 25.796 0.797 24.677 0.298 1898 8 26.882 2.000 0 0 26.263 1.382 25.250 0.987 1898 9 23.722 1.683 0 0 23.204 1.165 22.474 1.053 1898 10 17.527 1.247 0 0 17.137 0.857 16.315 0.653 1898 11 NaN NaN NaN NaN NaN NaN 9.569 -1.010 1898 12 5.914 -0.310 0 0 5.701 -0.523 5.095 -0.510 1899 1 4.283 0.143 0 0 4.053 -0.087 3.553 0.032 1899 2 0.774 -3.795 0 0 0.479 -4.090 -0.477 -4.428 1899 3 7.885 -0.120 0 0 7.506 -0.500 6.882 -0.505 1899 4 12.185 -0.591 0 0 11.702 -1.075 11.450 -0.707 1899 5 18.244 0.568 0 0 17.651 -0.024 16.481 -0.576 1899 6 24.000 1.711 0 0 23.333 1.044 22.767 1.096 1899 7 25.233 0.235 0 0 24.559 -0.439 24.112 -0.268 1899 8 25.143 0.262 0 0 24.525 -0.357 23.892 -0.371 1899 9 21.019 -1.021 0 0 20.500 -1.539 20.606 -0.815 1899 10 16.362 0.082 0 0 15.972 -0.308 16.343 0.681 1899 11 10.130 -1.069 0 0 9.858 -1.340 10.504 -0.076 1899 12 3.226 -2.998 0 0 3.013 -3.211 5.226 -0.379 1900 1 3.853 -0.287 0 0 3.623 -0.517 3.815 0.294 1900 2 3.724 -0.845 0 0 3.430 -1.140 2.623 -1.328 1900 3 5.394 -2.611 0 0 5.014 -2.991 5.254 -2.133 1900 4 11.463 -1.313 0 4 13.287 0.511 11.686 -0.471 1900 5 17.760 0.085 0 0 19.996 2.321 17.100 0.044 1900 6 22.685 0.396 0 0 25.200 2.911 21.989 0.319 1900 7 25.502 0.504 0 0 28.045 3.047 25.426 1.047 1900 8 25.556 0.674 0 0 27.890 3.009 26.168 1.906 1900 9 22.815 0.776 0 0 24.769 2.730 23.661 2.240 1900 10 16.611 0.331 0 0 18.082 1.802 17.962 2.300 1900 11 10.204 -0.994 0 0 11.228 0.030 12.511 1.931 1900 12 3.226 -2.998 0 0 4.030 -2.194 4.727 -0.878 1901 1 3.190 -0.950 0 0 4.059 -0.081 3.519 -0.002 1901 2 -0.615 -5.184 0 0 0.496 -4.073 -0.202 -4.153 1901 3 6.416 -1.590 0 0 7.849 -0.157 7.907 0.520 1901 4 7.815 -4.961 0 0 9.639 -3.137 9.868 -2.289 1901 5 15.161 -2.514 0 0 17.398 -0.278 15.887 -1.170 1901 6 21.185 -1.104 0 0 23.700 1.411 21.567 -0.104 1901 7 25.093 0.094 0 0 27.635 2.637 26.039 1.659 1901 8 23.188 -1.693 1 0 NaN NaN 24.787 0.524 1901 9 18.019 -4.021 0 0 19.973 -2.066 21.602 0.181 1901 10 13.477 -2.804 0 0 14.947 -1.333 15.069 -0.593 1901 11 4.519 -6.680 0 0 5.543 -5.655 7.497 -3.082 1901 12 4.012 -2.211 0 0 4.817 -1.407 4.389 -1.217 1902 1 1.451 -2.689 1 0 NaN NaN 1.941 -1.580 1902 2 -0.516 -5.085 0 0 0.596 -3.974 0.116 -3.834 1902 3 6.147 -1.859 0 0 7.580 -0.426 8.425 1.038 1902 4 NaN NaN NaN NaN NaN NaN 11.107 -1.051 1902 5 NaN NaN NaN NaN NaN NaN 16.856 -0.201 1902 6 NaN NaN NaN NaN NaN NaN 21.147 -0.524 1902 7 NaN NaN NaN NaN NaN NaN 24.166 -0.214 1902 8 NaN NaN NaN NaN NaN NaN 22.770 -1.492 1902 9 NaN NaN NaN NaN NaN NaN 20.695 -0.726 1902 10 NaN NaN NaN NaN NaN NaN 16.670 1.008 1902 11 NaN NaN NaN NaN NaN NaN 13.555 2.976 1902 12 NaN NaN NaN NaN NaN NaN 4.618 -0.988 1903 1 NaN NaN NaN NaN NaN NaN 3.351 -0.170 1903 2 NaN NaN NaN NaN NaN NaN 4.773 0.822 1903 3 NaN NaN NaN NaN NaN NaN 10.809 3.422