% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35763 % Primary Name: COOPERSBURG % Record Type: TAVG % Country: United States % State: PA % Latitude: 40.51670 +/- 0.00005 % Longitude: -75.40000 +/- 0.00005 % Elevation (m): 158.50 +/- 0.15 % # of Months: 84 % % Alternate Names: Missing Station ID - 361766 % % IDs: coop - 361766 % ghcnd - USC00361766 % ncdc - 12004588 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: a073062bcae219f2ab211b316e61a582 % Raw Data Hash: 5d3d9f981371dbc5affbf625816e79c1 % Adj Data Hash: 55bb13c0e5925f1b797644f0ab071d84 % % 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 1893 1 NaN NaN NaN NaN NaN NaN -7.916 -4.742 1893 2 NaN NaN NaN NaN NaN NaN -3.974 -1.906 1893 3 NaN NaN NaN NaN NaN NaN 0.616 -2.332 1893 4 NaN NaN NaN NaN NaN NaN 7.911 -1.345 1893 5 NaN NaN NaN NaN NaN NaN 13.963 -1.012 1893 6 NaN NaN NaN NaN NaN NaN 19.984 0.078 1893 7 NaN NaN NaN NaN NaN NaN 21.814 -0.736 1893 8 NaN NaN NaN NaN NaN NaN 21.457 -0.199 1893 9 NaN NaN NaN NaN NaN NaN 15.386 -2.200 1893 10 NaN NaN NaN NaN NaN NaN 11.424 0.116 1893 11 NaN NaN NaN NaN NaN NaN 4.414 -1.157 1893 12 NaN NaN NaN NaN NaN NaN -1.318 -0.493 1894 1 -0.538 1.166 0 0 0.714 2.418 -1.285 1.889 1894 2 -3.492 -2.893 0 0 -2.240 -1.641 -4.205 -2.137 1894 3 4.839 0.421 0 0 6.091 1.673 4.951 2.004 1894 4 8.640 -2.085 0 0 9.892 -0.834 8.594 -0.662 1894 5 15.430 -1.015 1 0 NaN NaN 14.961 -0.014 1894 6 21.020 -0.356 0 0 22.272 0.896 20.360 0.453 1894 7 22.473 -1.546 0 0 23.725 -0.294 23.216 0.666 1894 8 21.406 -1.720 0 0 22.658 -0.468 20.469 -1.187 1894 9 19.372 0.315 0 0 20.624 1.567 18.765 1.179 1894 10 11.130 -1.647 0 0 12.382 -0.396 11.243 -0.065 1894 11 3.234 -3.807 0 0 4.486 -2.555 3.207 -2.364 1894 12 -0.717 -1.361 0 0 0.535 -0.109 -1.051 -0.226 1895 1 -4.211 -2.508 0 0 -2.960 -1.256 -4.634 -1.460 1895 2 -6.548 -5.949 0 0 -5.296 -4.697 -6.731 -4.663 1895 3 1.861 -2.556 0 0 3.113 -1.304 0.725 -2.223 1895 4 8.630 -2.096 0 0 9.882 -0.844 8.530 -0.726 1895 5 15.287 -1.158 1 0 NaN NaN 15.212 0.237 1895 6 20.611 -0.765 0 0 21.863 0.487 21.179 1.273 1895 7 20.305 -3.715 0 0 21.557 -2.463 20.417 -2.133 1895 8 21.541 -1.585 0 0 22.793 -0.333 21.849 0.192 1895 9 18.870 -0.186 0 0 20.122 1.066 19.285 1.698 1895 10 9.184 -3.593 0 0 10.436 -2.341 7.974 -3.333 1895 11 5.278 -1.763 0 0 6.530 -0.511 6.369 0.798 1895 12 0.663 0.019 0 0 1.915 1.270 0.239 1.064 1896 1 -3.333 -1.630 0 0 -2.081 -0.378 -4.616 -1.443 1896 2 0.402 1.001 0 4 -0.103 0.496 -2.540 -0.471 1896 3 1.815 -2.602 0 0 1.310 -3.108 -0.913 -3.861 1896 4 12.296 1.571 0 0 11.791 1.066 10.650 1.394 1896 5 18.746 2.301 0 0 18.240 1.796 17.150 2.175 1896 6 19.963 -1.413 0 0 19.458 -1.918 18.707 -1.199 1896 7 23.656 -0.363 0 0 23.151 -0.869 22.617 0.067 1896 8 22.885 -0.241 0 0 22.380 -0.746 21.662 0.005 1896 9 19.185 0.129 0 0 18.680 -0.376 16.963 -0.623 1896 10 11.326 -1.451 0 0 10.821 -1.956 9.153 -2.154 1896 11 9.398 2.357 0 0 8.893 1.852 7.565 1.993 1896 12 1.326 0.682 0 0 0.821 0.177 -2.830 -2.005 1897 1 -1.129 0.575 0 0 -1.634 0.070 -3.619 -0.446 1897 2 1.528 2.126 0 0 1.023 1.621 -2.043 0.026 1897 3 5.376 0.959 0 0 4.871 0.454 3.007 0.060 1897 4 10.537 -0.188 0 0 10.032 -0.693 9.411 0.155 1897 5 15.538 -0.907 1 0 NaN NaN 14.563 -0.412 1897 6 18.667 -2.709 0 0 18.162 -3.214 17.628 -2.278 1897 7 23.405 -0.614 0 0 22.900 -1.119 22.535 -0.015 1897 8 21.487 -1.639 0 0 20.982 -2.144 20.289 -1.368 1897 9 19.056 -0.001 0 0 18.550 -0.506 17.109 -0.478 1897 10 13.674 0.897 0 0 13.169 0.392 11.476 0.169 1897 11 7.204 0.163 0 0 6.699 -0.342 5.298 -0.273 1897 12 3.100 2.456 0 0 2.595 1.951 -0.779 0.046 1898 1 1.452 3.155 0 0 0.946 2.650 -2.101 1.072 1898 2 1.766 2.365 0 0 1.261 1.859 -1.753 0.315 1898 3 8.996 4.579 0 0 8.491 4.074 6.166 3.218 1898 4 9.167 -1.559 0 0 8.662 -2.064 7.587 -1.669 1898 5 15.466 -0.979 1 0 NaN NaN 13.730 -1.245 1898 6 23.000 1.624 0 0 22.495 1.119 20.279 0.373 1898 7 25.538 1.518 0 0 25.032 1.013 23.107 0.557 1898 8 23.620 0.494 0 0 23.115 -0.011 22.270 0.614 1898 9 20.421 1.365 0 0 19.916 0.860 18.931 1.344 1898 10 14.015 1.237 0 0 13.509 0.732 11.777 0.469 1898 11 6.540 -0.501 0 0 6.035 -1.006 4.612 -0.959 1898 12 0.939 0.294 0 0 0.434 -0.211 -2.097 -1.272 1899 1 -1.423 0.281 0 0 -1.928 -0.224 -3.800 -0.627 1899 2 -2.711 -2.112 0 0 -3.216 -2.617 -5.246 -3.178 1899 3 4.029 -0.388 0 0 3.524 -0.893 1.540 -1.408 1899 4 10.220 -0.505 0 0 9.715 -1.010 9.036 -0.220 1899 5 15.834 -0.611 0 0 15.329 -1.116 15.019 0.044 1899 6 21.822 0.446 0 0 21.317 -0.059 20.892 0.985 1899 7 22.887 -1.132 0 0 22.382 -1.637 22.046 -0.504 1899 8 22.032 -1.094 0 0 21.527 -1.599 21.222 -0.435 1899 9 17.293 -1.763 0 0 16.788 -2.268 16.455 -1.132 1899 10 13.195 0.418 0 0 12.690 -0.087 11.978 0.670 1899 11 7.237 0.196 0 0 6.732 -0.309 5.203 -0.369 1899 12 2.455 1.811 0 0 1.950 1.306 -0.416 0.409 1900 1 0.222 1.926 0 0 -0.283 1.421 -2.313 0.860 1900 2 -0.449 0.150 0 0 -0.954 -0.355 -2.829 -0.761 1900 3 1.792 -2.625 0 0 1.287 -3.130 0.033 -2.914 1900 4 11.019 0.293 0 0 10.513 -0.212 9.443 0.187 1900 5 16.185 -0.260 0 0 15.680 -0.765 14.650 -0.326 1900 6 21.877 0.502 0 0 21.372 -0.003 20.278 0.372 1900 7 24.352 0.332 0 0 23.847 -0.173 23.347 0.797 1900 8 24.032 0.906 0 0 23.527 0.401 23.365 1.708 1900 9 20.709 1.653 0 0 20.204 1.147 19.676 2.089 1900 10 15.944 3.167 0 0 15.439 2.662 13.902 2.595 1900 11 8.667 1.626 0 0 8.162 1.121 7.013 1.442 1900 12 1.687 1.042 0 0 1.181 0.537 -1.698 -0.873 1901 1 NaN NaN NaN NaN NaN NaN -2.675 0.499 1901 2 NaN NaN NaN NaN NaN NaN -5.912 -3.844 1901 3 NaN NaN NaN NaN NaN NaN 2.185 -0.763 1901 4 NaN NaN NaN NaN NaN NaN 8.608 -0.648 1901 5 NaN NaN NaN NaN NaN NaN 13.797 -1.179 1901 6 NaN NaN NaN NaN NaN NaN 20.399 0.493 1901 7 NaN NaN NaN NaN NaN NaN 24.346 1.796 1901 8 NaN NaN NaN NaN NaN NaN 21.982 0.325 1901 9 NaN NaN NaN NaN NaN NaN 17.962 0.375 1901 10 NaN NaN NaN NaN NaN NaN 10.766 -0.542 1901 11 NaN NaN NaN NaN NaN NaN 2.361 -3.211 1901 12 NaN NaN NaN NaN NaN NaN -2.153 -1.328