% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35643 % Primary Name: HOLLIDAYSBURG 2 NW % Record Type: TAVG % Country: United States % State: PA % Latitude: 40.43830 +/- 0.00005 % Longitude: -78.41690 +/- 0.00005 % Elevation (m): 301.80 +/- 0.05 % # of Months: 60 % % Alternate Names: HOLLIDAYSBURG % HOLLIDAYSBURG 2NW % HOLLIDAYSBURG 3 W % % IDs: coop - 364001 % ghcnd - USC00364001 % ncdc - 20016771 % nws - HLYP1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: d688995ac9134e7ea95549b7bb944a42 % Raw Data Hash: d54dc5a5887e69279bf98e5fda6fd35e % Adj Data Hash: 9bf853902681f755ec29894d05921db4 % % 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 -9.540 -4.879 1893 2 NaN NaN NaN NaN NaN NaN -4.866 -1.179 1893 3 NaN NaN NaN NaN NaN NaN 0.527 -1.006 1893 4 NaN NaN NaN NaN NaN NaN 7.384 -0.691 1893 5 NaN NaN NaN NaN NaN NaN 12.278 -1.497 1893 6 NaN NaN NaN NaN NaN NaN 19.078 0.673 1893 7 NaN NaN NaN NaN NaN NaN 20.171 -0.375 1893 8 NaN NaN NaN NaN NaN NaN 18.834 -0.995 1893 9 NaN NaN NaN NaN NaN NaN 14.802 -1.332 1893 10 NaN NaN NaN NaN NaN NaN 9.661 -0.087 1893 11 NaN NaN NaN NaN NaN NaN 2.727 -1.218 1893 12 NaN NaN NaN NaN NaN NaN -1.935 0.223 1894 1 1.278 3.905 0 0 1.278 3.905 -1.620 3.041 1894 2 -2.619 -0.964 0 0 -2.619 -0.964 -5.028 -1.340 1894 3 6.418 2.852 0 0 6.418 2.852 4.574 3.041 1894 4 9.222 -0.885 0 0 9.222 -0.885 7.538 -0.537 1894 5 16.130 0.322 0 0 16.130 0.322 13.897 0.122 1894 6 20.159 -0.279 0 0 20.159 -0.279 18.740 0.335 1894 7 23.507 0.928 1 0 NaN NaN 20.774 0.227 1894 8 20.470 -1.392 0 0 20.470 -1.392 18.934 -0.896 1894 9 19.345 1.179 0 0 19.345 1.179 17.675 1.541 1894 10 11.284 -0.497 0 0 11.284 -0.497 9.980 0.232 1894 11 3.185 -2.793 0 0 3.185 -2.793 1.896 -2.048 1894 12 -0.182 -0.057 0 0 -0.182 -0.057 -1.826 0.332 1895 1 -5.573 -2.946 0 0 -5.573 -2.946 -7.202 -2.541 1895 2 -6.984 -5.329 0 0 -6.984 -5.329 -9.443 -5.755 1895 3 1.918 -1.648 0 0 1.918 -1.648 -0.898 -2.432 1895 4 10.056 -0.052 0 0 10.056 -0.052 8.360 0.285 1895 5 16.541 0.733 0 0 16.541 0.733 14.120 0.345 1895 6 21.956 1.518 0 0 21.956 1.518 20.022 1.617 1895 7 20.134 -2.445 0 0 20.134 -2.445 18.471 -2.075 1895 8 22.241 0.379 0 0 22.241 0.379 19.856 0.027 1895 9 20.019 1.852 0 0 20.019 1.852 17.932 1.798 1895 10 7.790 -3.991 0 0 7.790 -3.991 6.314 -3.434 1895 11 5.667 -0.311 0 0 5.667 -0.311 4.353 0.408 1895 12 0.256 0.381 0 0 0.256 0.381 -1.354 0.804 1896 1 -1.971 0.656 0 0 -1.971 0.656 -4.494 0.167 1896 2 0.287 1.942 0 0 0.287 1.942 -3.849 -0.162 1896 3 -1.037 -4.603 0 0 -1.037 -4.603 -2.725 -4.259 1896 4 13.148 3.040 0 0 13.148 3.040 10.655 2.580 1896 5 18.943 3.135 0 0 18.943 3.135 17.048 3.273 1896 6 19.424 -1.014 0 0 19.424 -1.014 17.824 -0.581 1896 7 22.204 -0.375 0 0 22.204 -0.375 20.422 -0.124 1896 8 22.367 0.505 1 0 NaN NaN 19.561 -0.268 1896 9 17.444 -0.722 0 0 17.444 -0.722 15.560 -0.574 1896 10 8.990 -2.790 0 0 8.990 -2.790 6.941 -2.807 1896 11 7.611 1.633 0 0 7.611 1.633 6.325 2.380 1896 12 -0.735 -0.610 0 0 -0.735 -0.610 -2.710 -0.552 1897 1 -3.817 -1.190 0 0 -3.817 -1.190 -6.053 -1.392 1897 2 -0.714 0.941 0 0 -0.714 0.941 -3.065 0.623 1897 3 4.839 1.273 0 0 4.839 1.273 2.768 1.234 1897 4 10.400 0.292 0 0 10.400 0.292 7.961 -0.114 1897 5 14.713 -1.095 0 0 14.713 -1.095 12.131 -1.644 1897 6 18.591 -1.847 0 0 18.591 -1.847 16.461 -1.944 1897 7 23.065 0.485 0 0 23.065 0.485 21.271 0.725 1897 8 19.835 -2.027 0 0 19.835 -2.027 17.884 -1.945 1897 9 17.842 -0.325 0 0 17.842 -0.325 16.062 -0.072 1897 10 12.760 0.979 0 0 12.760 0.979 10.691 0.943 1897 11 5.685 -0.293 0 0 5.685 -0.293 4.233 0.288 1897 12 1.056 1.180 0 0 1.056 1.180 -1.634 0.523 1898 1 -0.204 2.424 0 0 -0.204 2.424 -2.764 1.897 1898 2 -1.529 0.126 0 0 -1.529 0.126 -4.182 -0.494 1898 3 7.706 4.140 0 0 7.706 4.140 5.365 3.832 1898 4 7.741 -2.367 0 0 7.741 -2.367 6.068 -2.007 1898 5 16.846 1.038 0 0 16.846 1.038 14.056 0.281 1898 6 21.241 0.803 0 0 21.241 0.803 18.969 0.564 1898 7 24.329 1.750 0 0 24.329 1.750 21.766 1.220 1898 8 22.692 0.830 0 0 22.692 0.830 20.437 0.607 1898 9 17.650 -0.517 0 0 17.650 -0.517 17.244 1.110 1898 10 11.971 0.191 0 0 11.971 0.191 10.130 0.382 1898 11 4.500 -1.478 0 0 4.500 -1.478 3.178 -0.767 1898 12 -0.714 -0.589 0 0 -0.714 -0.589 -3.668 -1.511 1899 1 NaN NaN NaN NaN NaN NaN -5.314 -0.653 1899 2 NaN NaN NaN NaN NaN NaN -7.722 -4.034 1899 3 NaN NaN NaN NaN NaN NaN 0.666 -0.867 1899 4 NaN NaN NaN NaN NaN NaN 9.290 1.215 1899 5 NaN NaN NaN NaN NaN NaN 14.468 0.693 1899 6 NaN NaN NaN NaN NaN NaN 19.237 0.832 1899 7 NaN NaN NaN NaN NaN NaN 20.452 -0.094 1899 8 NaN NaN NaN NaN NaN NaN 20.186 0.357 1899 9 NaN NaN NaN NaN NaN NaN 15.122 -1.012 1899 10 NaN NaN NaN NaN NaN NaN 11.154 1.406 1899 11 NaN NaN NaN NaN NaN NaN 4.400 0.455 1899 12 NaN NaN NaN NaN NaN NaN -2.480 -0.322