% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35167 % Primary Name: HAWTHORNE % Record Type: TAVG % Country: United States % State: PA % Latitude: 40.03330 +/- 0.00005 % Longitude: -79.08330 +/- 0.00005 % Elevation (m): 668.48 +/- 40.85 % # of Months: 51 % % Alternate Names: Missing Station ID - 363769 % % IDs: coop - 363769 % ghcnd - USC00363769 % ncdc - 12004643 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: c89edcd464216f58ff578d700c7d144a % Raw Data Hash: f5a21d8f817eceac2f896ffd34a7a37d % Adj Data Hash: abaeb5050b3f77210ca82249c2217d22 % % 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 1898 2 NaN NaN NaN NaN NaN NaN -1.878 -0.948 1898 3 NaN NaN NaN NaN NaN NaN 7.392 3.371 1898 4 NaN NaN NaN NaN NaN NaN 7.371 -2.595 1898 5 NaN NaN NaN NaN NaN NaN 15.744 0.493 1898 6 NaN NaN NaN NaN NaN NaN 19.944 0.415 1898 7 NaN NaN NaN NaN NaN NaN 22.687 1.003 1898 8 NaN NaN NaN NaN NaN NaN 21.742 0.668 1898 9 NaN NaN NaN NaN NaN NaN 18.408 0.897 1898 10 NaN NaN NaN NaN NaN NaN 11.106 0.118 1898 11 NaN NaN NaN NaN NaN NaN 4.237 -1.143 1898 12 NaN NaN NaN NaN NaN NaN -1.510 -1.476 1899 1 NaN NaN NaN NaN NaN NaN -2.176 -0.068 1899 2 -5.718 -4.662 1 0 NaN NaN -5.655 -4.725 1899 3 2.573 -1.323 0 0 2.573 -1.323 3.789 -0.232 1899 4 10.822 0.981 0 0 10.822 0.981 10.434 0.468 1899 5 15.979 0.854 0 0 15.979 0.854 15.919 0.668 1899 6 20.612 1.209 0 0 20.612 1.209 20.468 0.939 1899 7 21.805 0.247 0 0 21.805 0.247 21.834 0.151 1899 8 22.015 1.066 0 0 22.015 1.066 21.610 0.536 1899 9 16.128 -1.257 0 0 16.128 -1.257 16.643 -0.869 1899 10 12.806 1.945 0 0 12.806 1.945 12.014 1.027 1899 11 6.063 0.810 0 0 6.063 0.810 6.001 0.622 1899 12 -1.013 -0.853 0 0 -1.013 -0.853 -0.919 -0.885 1900 1 -1.485 0.748 0 0 -1.485 0.748 -1.276 0.832 1900 2 -3.439 -2.383 1 0 NaN NaN -3.279 -2.349 1900 3 -0.676 -4.571 0 0 -0.676 -4.571 1.061 -2.960 1900 4 9.200 -0.641 0 0 9.200 -0.641 9.556 -0.410 1900 5 15.405 0.280 0 0 15.405 0.280 15.291 0.040 1900 6 20.603 1.200 0 0 20.603 1.200 20.008 0.480 1900 7 22.482 0.925 0 0 22.482 0.925 22.305 0.622 1900 8 24.024 3.076 0 0 24.024 3.076 23.306 2.231 1900 9 20.249 2.863 1 0 NaN NaN 20.681 3.170 1900 10 15.048 4.187 0 0 15.048 4.187 13.787 2.799 1900 11 4.968 -0.286 0 0 4.968 -0.286 6.667 1.287 1900 12 -0.855 -0.695 0 0 -0.855 -0.695 -0.903 -0.869 1901 1 -1.557 0.677 0 0 -1.557 0.677 -1.666 0.442 1901 2 -6.628 -5.572 0 0 -6.628 -5.572 -5.389 -4.458 1901 3 2.694 -1.202 0 0 2.694 -1.202 4.136 0.116 1901 4 8.512 -1.328 0 0 8.512 -1.328 7.527 -2.439 1901 5 NaN NaN NaN NaN NaN NaN 14.379 -0.872 1901 6 20.936 1.533 0 0 20.936 1.533 19.604 0.075 1901 7 NaN NaN NaN NaN NaN NaN 23.790 2.107 1901 8 22.807 1.859 0 0 22.807 1.859 21.509 0.435 1901 9 17.870 0.484 1 0 NaN NaN 16.572 -0.940 1901 10 NaN NaN NaN NaN NaN NaN 10.638 -0.349 1901 11 1.766 -3.488 1 0 NaN NaN 2.159 -3.220 1901 12 NaN NaN NaN NaN NaN NaN -1.988 -1.954 1902 1 -3.692 -1.458 0 0 -3.692 -1.458 -3.494 -1.386 1902 2 -6.664 -5.608 1 0 NaN NaN -5.692 -4.762 1902 3 5.107 1.212 1 0 NaN NaN 4.775 0.754 1902 4 7.718 -2.122 1 0 NaN NaN 8.484 -1.482 1902 5 15.361 0.236 0 0 15.361 0.236 16.044 0.793 1902 6 17.902 -1.501 0 0 17.902 -1.501 18.236 -1.293 1902 7 21.829 0.272 0 0 21.829 0.272 21.927 0.244 1902 8 19.864 -1.085 0 0 19.864 -1.085 19.528 -1.546 1902 9 16.698 -0.687 0 0 16.698 -0.687 16.892 -0.619 1902 10 NaN NaN NaN NaN NaN NaN 11.572 0.585 1902 11 NaN NaN NaN NaN NaN NaN 8.875 3.495 1902 12 NaN NaN NaN NaN NaN NaN -1.427 -1.393 1903 1 NaN NaN NaN NaN NaN NaN -2.938 -0.830 1903 2 NaN NaN NaN NaN NaN NaN -1.042 -0.112 1903 3 NaN NaN NaN NaN NaN NaN 8.429 4.408 1903 4 7.953 -1.887 1 0 NaN NaN 9.560 -0.406 1903 5 15.647 0.522 0 0 15.647 0.522 16.027 0.776 1903 6 16.850 -2.553 0 0 16.850 -2.553 16.635 -2.894 1903 7 20.994 -0.563 0 0 20.994 -0.563 21.054 -0.629 1903 8 NaN NaN NaN NaN NaN NaN 19.905 -1.170 1903 9 17.360 -0.026 0 0 17.360 -0.026 16.822 -0.690 1903 10 14.394 3.533 1 0 NaN NaN 10.898 -0.089 1903 11 0.833 -4.421 0 0 0.833 -4.421 2.498 -2.882 1903 12 -5.913 -5.754 1 0 NaN NaN -4.258 -4.225 1904 1 -7.906 -5.672 0 0 -7.906 -5.672 -5.698 -3.590 1904 2 -7.896 -6.840 1 0 NaN NaN -5.000 -4.069 1904 3 2.790 -1.105 1 0 NaN NaN 4.064 0.043 1904 4 NaN NaN NaN NaN NaN NaN 7.303 -2.663 1904 5 NaN NaN NaN NaN NaN NaN 15.129 -0.122 1904 6 NaN NaN NaN NaN NaN NaN 19.071 -0.457 1904 7 NaN NaN NaN NaN NaN NaN 20.367 -1.317 1904 8 NaN NaN NaN NaN NaN NaN 19.634 -1.441 1904 9 NaN NaN NaN NaN NaN NaN 17.878 0.367 1904 10 NaN NaN NaN NaN NaN NaN 10.090 -0.897 1904 11 NaN NaN NaN NaN NaN NaN 3.786 -1.594 1904 12 NaN NaN NaN NaN NaN NaN -2.606 -2.572 1905 1 NaN NaN NaN NaN NaN NaN -4.871 -2.763 1905 2 NaN NaN NaN NaN NaN NaN -6.274 -5.343 1905 3 NaN NaN NaN NaN NaN NaN 5.620 1.599