% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35232 % Primary Name: BUSTLETON % Record Type: TAVG % Country: United States % State: PA % Latitude: 40.08330 +/- 0.00005 % Longitude: -75.05000 +/- 0.00005 % Elevation (m): 38.10 +/- 0.15 % # of Months: 94 % % Alternate Names: Missing Station ID - 361117 % % IDs: coop - 361117 % ghcnd - USC00361117 % ncdc - 12004561 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 843bfa941dd77bfbf5330a9f4c7b8115 % Raw Data Hash: 67fd0d2c6e2000c7725ce6ab0ddc09cf % Adj Data Hash: 03b30006cc253c4c465726d20dc69f2a % % 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 1917 9 NaN NaN NaN NaN NaN NaN 17.247 -2.621 1917 10 NaN NaN NaN NaN NaN NaN 10.921 -2.648 1917 11 NaN NaN NaN NaN NaN NaN 5.605 -2.518 1917 12 NaN NaN NaN NaN NaN NaN -2.498 -5.010 1918 1 NaN NaN NaN NaN NaN NaN -5.490 -5.763 1918 2 NaN NaN NaN NaN NaN NaN -0.334 -1.496 1918 3 NaN NaN NaN NaN NaN NaN 6.514 0.971 1918 4 NaN NaN NaN NaN NaN NaN 10.554 -0.401 1918 5 NaN NaN NaN NaN NaN NaN 18.149 1.851 1918 6 NaN NaN NaN NaN NaN NaN 19.413 -1.729 1918 7 NaN NaN NaN NaN NaN NaN 22.589 -1.315 1918 8 NaN NaN NaN NaN NaN NaN 24.074 0.679 1918 9 17.407 -2.286 1 0 NaN NaN 17.885 -1.983 1918 10 14.361 0.967 0 0 14.505 1.111 14.800 1.231 1918 11 6.692 -1.256 0 0 6.836 -1.112 7.867 -0.256 1918 12 3.373 1.036 0 0 3.517 1.180 4.162 1.651 1919 1 1.431 1.332 0 0 1.575 1.476 2.034 1.760 1919 2 1.534 0.546 0 0 1.678 0.690 1.412 0.249 1919 3 7.298 1.930 0 0 7.443 2.074 7.314 1.771 1919 4 10.280 -0.501 0 0 10.424 -0.357 10.466 -0.489 1919 5 16.752 0.628 0 0 16.896 0.772 16.207 -0.091 1919 6 21.213 0.245 0 0 21.357 0.389 20.554 -0.589 1919 7 23.506 -0.223 0 0 23.651 -0.079 23.497 -0.407 1919 8 21.176 -2.045 0 0 21.320 -1.900 21.924 -1.471 1919 9 18.827 -0.867 0 0 18.971 -0.723 19.852 -0.016 1919 10 15.497 2.102 0 0 15.641 2.247 16.366 2.797 1919 11 6.625 -1.323 0 0 6.769 -1.179 8.218 0.095 1919 12 NaN NaN NaN NaN NaN NaN -0.581 -3.092 1920 1 NaN NaN NaN NaN NaN NaN -3.168 -3.442 1920 2 NaN NaN NaN NaN NaN NaN -1.286 -2.448 1920 3 4.879 -0.489 0 0 5.023 -0.345 5.323 -0.220 1920 4 9.407 -1.374 0 0 9.551 -1.230 10.080 -0.876 1920 5 14.326 -1.798 0 0 14.470 -1.654 13.659 -2.639 1920 6 NaN NaN NaN NaN NaN NaN 20.496 -0.646 1920 7 22.421 -1.309 0 0 22.565 -1.165 22.380 -1.524 1920 8 22.727 -0.493 0 0 22.872 -0.349 22.785 -0.610 1920 9 19.448 -0.245 0 0 19.592 -0.101 20.167 0.299 1920 10 15.061 1.666 0 0 15.205 1.810 15.395 1.826 1920 11 6.183 -1.765 0 0 6.327 -1.621 7.812 -0.311 1920 12 2.422 0.085 0 0 2.566 0.229 3.380 0.869 1921 1 1.115 1.015 0 0 1.259 1.160 1.690 1.416 1921 2 1.575 0.587 0 0 1.719 0.731 2.317 1.155 1921 3 10.515 5.146 0 0 10.659 5.291 11.066 5.523 1921 4 14.488 3.707 0 0 14.632 3.851 13.704 2.748 1921 5 16.429 0.305 0 0 16.573 0.450 15.265 -1.034 1921 6 21.725 0.757 0 0 21.869 0.901 21.184 0.041 1921 7 25.223 1.493 0 0 25.367 1.637 24.833 0.929 1921 8 21.166 -2.054 0 0 21.310 -1.910 21.649 -1.746 1921 9 21.593 1.900 0 0 21.737 2.044 22.368 2.500 1921 10 12.697 -0.698 0 0 12.841 -0.553 13.075 -0.494 1921 11 7.008 -0.940 0 0 7.152 -0.796 8.752 0.628 1921 12 NaN NaN NaN NaN NaN NaN 1.419 -1.093 1922 1 NaN NaN NaN NaN NaN NaN -1.095 -1.369 1922 2 NaN NaN NaN NaN NaN NaN 1.922 0.760 1922 3 5.597 0.228 0 0 5.741 0.373 6.231 0.688 1922 4 11.588 0.807 0 4 11.500 0.719 11.184 0.229 1922 5 18.197 2.073 0 0 18.108 1.985 17.188 0.889 1922 6 22.428 1.460 0 0 22.340 1.372 21.900 0.758 1922 7 23.505 -0.225 0 0 23.416 -0.313 23.164 -0.740 1922 8 21.875 -1.345 0 0 21.787 -1.433 22.158 -1.237 1922 9 19.953 0.260 0 0 19.865 0.171 20.223 0.355 1922 10 14.226 0.831 0 0 14.137 0.743 14.565 0.996 1922 11 7.308 -0.640 0 0 7.220 -0.729 8.400 0.277 1922 12 NaN NaN NaN NaN NaN NaN 1.925 -0.587 1923 1 -1.358 -1.457 0 0 -1.447 -1.546 1.064 0.790 1923 2 NaN NaN NaN NaN NaN NaN -1.902 -3.065 1923 3 3.734 -1.635 0 0 3.645 -1.723 5.343 -0.200 1923 4 10.972 0.191 0 0 10.883 0.102 10.316 -0.639 1923 5 16.634 0.510 0 0 16.545 0.422 15.034 -1.265 1923 6 23.372 2.404 0 0 23.283 2.315 22.599 1.456 1923 7 22.960 -0.770 0 0 22.871 -0.859 22.520 -1.384 1923 8 22.655 -0.566 0 0 22.566 -0.654 22.258 -1.137 1923 9 20.408 0.715 0 0 20.320 0.626 20.278 0.410 1923 10 12.747 -0.648 0 0 12.658 -0.736 12.807 -0.762 1923 11 6.228 -1.720 0 0 6.140 -1.809 7.414 -0.709 1923 12 5.300 2.963 0 0 5.211 2.874 5.953 3.442 1924 1 0.444 0.344 0 0 0.355 0.256 1.036 0.762 1924 2 -1.497 -2.484 1 0 NaN NaN -0.539 -1.701 1924 3 4.158 -1.210 0 0 4.070 -1.299 4.748 -0.795 1924 4 9.153 -1.628 0 0 9.065 -1.716 9.555 -1.401 1924 5 14.182 -1.941 0 0 14.094 -2.030 14.000 -2.298 1924 6 20.197 -0.771 0 0 20.108 -0.860 19.530 -1.613 1924 7 22.447 -1.283 0 0 22.358 -1.371 22.457 -1.447 1924 8 22.676 -0.545 0 0 22.587 -0.633 22.788 -0.607 1924 9 17.167 -2.527 0 0 17.078 -2.615 17.809 -2.059 1924 10 13.103 -0.291 0 0 13.015 -0.380 12.949 -0.620 1924 11 6.670 -1.279 0 0 6.581 -1.367 7.614 -0.509 1924 12 1.202 -1.135 0 0 1.113 -1.224 1.664 -0.848 1925 1 NaN NaN NaN NaN NaN NaN -0.552 -0.826 1925 2 NaN NaN NaN NaN NaN NaN 4.279 3.117 1925 3 6.658 1.290 0 0 6.570 1.201 7.100 1.557 1925 4 11.245 0.464 0 0 11.156 0.376 11.767 0.811 1925 5 15.242 -0.882 0 0 15.153 -0.970 14.292 -2.007 1925 6 24.800 3.832 0 0 24.711 3.743 23.582 2.439 1925 7 23.002 -0.728 0 0 22.913 -0.817 23.091 -0.814 1925 8 22.379 -0.841 0 0 22.291 -0.930 21.994 -1.401 1925 9 21.130 1.437 0 0 21.041 1.348 21.458 1.590 1925 10 10.360 -3.035 0 0 10.271 -3.123 10.526 -3.043 1925 11 6.358 -1.590 0 0 6.270 -1.679 7.016 -1.107 1925 12 1.353 -0.984 0 0 1.265 -1.072 1.785 -0.727 1926 1 -0.184 -0.283 0 0 -0.272 -0.371 0.243 -0.031 1926 2 NaN NaN NaN NaN NaN NaN 0.202 -0.960 1926 3 NaN NaN NaN NaN NaN NaN 3.042 -2.501 1926 4 9.113 -1.668 0 0 9.025 -1.756 9.327 -1.628 1926 5 16.498 0.375 0 0 16.410 0.286 15.427 -0.871 1926 6 19.292 -1.676 0 0 19.203 -1.765 18.785 -2.357 1926 7 23.361 -0.368 0 0 23.273 -0.457 23.114 -0.790 1926 8 23.503 0.283 0 0 23.415 0.194 23.547 0.152 1926 9 19.023 -0.670 0 0 18.935 -0.759 19.519 -0.349 1926 10 12.229 -1.165 0 0 12.141 -1.254 12.838 -0.731 1926 11 6.480 -1.469 0 0 6.391 -1.557 7.330 -0.793 1926 12 NaN NaN NaN NaN NaN NaN -0.472 -2.983 1927 1 NaN NaN NaN NaN NaN NaN -0.279 -0.553 1927 2 NaN NaN NaN NaN NaN NaN 3.546 2.384 1927 3 6.792 1.424 0 0 6.703 1.335 6.542 0.999 1927 4 9.653 -1.128 0 0 9.565 -1.216 9.375 -1.580 1927 5 15.285 -0.838 0 0 15.197 -0.927 15.014 -1.284 1927 6 19.313 -1.655 0 0 19.225 -1.743 18.622 -2.521 1927 7 23.658 -0.072 0 0 23.570 -0.160 22.904 -1.000 1927 8 20.474 -2.746 0 0 20.386 -2.835 20.242 -3.153 1927 9 19.560 -0.133 0 0 19.471 -0.222 19.684 -0.184 1927 10 14.432 1.038 0 0 14.344 0.949 14.348 0.779 1927 11 NaN NaN NaN NaN NaN NaN 10.528 2.405 1927 12 NaN NaN NaN NaN NaN NaN 3.149 0.637 1928 1 NaN NaN NaN NaN NaN NaN 1.072 0.798 1928 2 NaN NaN NaN NaN NaN NaN 1.052 -0.110 1928 3 NaN NaN NaN NaN NaN NaN 4.758 -0.785 1928 4 NaN NaN NaN NaN NaN NaN 9.369 -1.586 1928 5 NaN NaN NaN NaN NaN NaN 14.554 -1.744 1928 6 NaN NaN NaN NaN NaN NaN 19.792 -1.351 1928 7 NaN NaN NaN NaN NaN NaN 23.565 -0.339 1928 8 NaN NaN NaN NaN NaN NaN 24.323 0.928 1928 9 NaN NaN NaN NaN NaN NaN 18.037 -1.831 1928 10 NaN NaN NaN NaN NaN NaN 14.036 0.467