% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34954 % Primary Name: CONFLUENCE 1 NW % Record Type: TAVG % Country: United States % State: PA % Latitude: 39.83330 +/- 0.00005 % Longitude: -79.36670 +/- 0.00005 % Elevation (m): 405.70 +/- 0.05 % # of Months: 59 % % IDs: coop - 361710 % ghcnd - USC00361710 % ncdc - 20016563 % nws - CNFP1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: ddff27b2fd6bae1013a71ed039cd6efc % Raw Data Hash: 6f08164afe4949af21431f3f5daee891 % Adj Data Hash: ed34e66e8beaae30bfd4e42d9af7cb6e % % 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 1895 7 NaN NaN NaN NaN NaN NaN 19.515 -2.168 1895 8 NaN NaN NaN NaN NaN NaN 21.408 0.334 1895 9 NaN NaN NaN NaN NaN NaN 19.898 2.387 1895 10 NaN NaN NaN NaN NaN NaN 7.654 -3.333 1895 11 NaN NaN NaN NaN NaN NaN 5.880 0.501 1895 12 NaN NaN NaN NaN NaN NaN 0.468 0.502 1896 1 NaN NaN NaN NaN NaN NaN -2.222 -0.114 1896 2 NaN NaN NaN NaN NaN NaN -1.354 -0.423 1896 3 NaN NaN NaN NaN NaN NaN 0.281 -3.740 1896 4 NaN NaN NaN NaN NaN NaN 12.312 2.346 1896 5 NaN NaN NaN NaN NaN NaN 18.056 2.805 1896 6 NaN NaN NaN NaN NaN NaN 18.998 -0.531 1896 7 22.563 1.167 0 0 22.563 1.167 21.639 -0.045 1896 8 21.466 0.679 0 0 21.466 0.679 21.062 -0.012 1896 9 18.343 1.119 0 0 18.343 1.119 17.343 -0.169 1896 10 8.829 -1.871 0 0 8.829 -1.871 8.651 -2.337 1896 11 6.807 1.714 0 0 6.807 1.714 7.942 2.562 1896 12 -0.886 -0.565 0 0 -0.886 -0.565 -0.516 -0.482 1897 1 -4.306 -1.911 0 0 -4.306 -1.911 -4.084 -1.976 1897 2 -1.209 0.009 0 0 -1.209 0.009 -0.491 0.439 1897 3 4.200 0.466 0 0 4.200 0.466 5.818 1.797 1897 4 9.345 -0.334 0 0 9.345 -0.334 9.558 -0.408 1897 5 14.266 -0.697 0 0 14.266 -0.697 13.246 -2.005 1897 6 18.900 -0.341 0 0 18.900 -0.341 18.555 -0.974 1897 7 23.537 2.141 0 0 23.537 2.141 22.184 0.501 1897 8 20.158 -0.629 0 0 20.158 -0.629 19.865 -1.209 1897 9 17.553 0.329 0 0 17.553 0.329 17.697 0.186 1897 10 11.695 0.995 0 0 11.695 0.995 12.025 1.037 1897 11 4.462 -0.631 0 0 4.462 -0.631 5.359 -0.021 1897 12 0.156 0.478 0 0 0.156 0.478 0.706 0.739 1898 1 -0.289 2.106 0 0 -0.289 2.106 0.044 2.152 1898 2 -2.432 -1.214 0 0 -2.432 -1.214 -1.878 -0.948 1898 3 7.010 3.276 0 0 7.010 3.276 7.392 3.371 1898 4 5.460 -4.219 0 0 5.460 -4.219 7.371 -2.595 1898 5 15.753 0.790 0 0 15.753 0.790 15.744 0.493 1898 6 20.667 1.426 0 0 20.667 1.426 19.944 0.415 1898 7 23.016 1.620 0 0 23.016 1.620 22.687 1.003 1898 8 22.330 1.543 0 0 22.330 1.543 21.742 0.668 1898 9 18.963 1.739 0 0 18.963 1.739 18.408 0.897 1898 10 11.523 0.823 0 0 11.523 0.823 11.106 0.118 1898 11 -0.850 -5.943 0 0 -0.850 -5.943 4.237 -1.143 1898 12 -6.015 -5.694 0 0 -6.015 -5.694 -1.510 -1.476 1899 1 -4.500 -2.105 1 0 NaN NaN -2.176 -0.068 1899 2 -5.357 -4.139 0 0 -5.357 -4.139 -5.655 -4.725 1899 3 3.871 0.137 0 0 3.871 0.137 3.789 -0.232 1899 4 9.752 0.073 0 0 9.752 0.073 10.434 0.468 1899 5 16.487 1.524 0 0 16.487 1.524 15.919 0.668 1899 6 NaN NaN NaN NaN NaN NaN 20.468 0.939 1899 7 NaN NaN NaN NaN NaN NaN 21.834 0.151 1899 8 NaN NaN NaN NaN NaN NaN 21.610 0.536 1899 9 16.667 -0.558 0 0 16.667 -0.558 16.643 -0.869 1899 10 12.903 2.203 0 0 12.903 2.203 12.014 1.027 1899 11 5.627 0.534 0 0 5.627 0.534 6.001 0.622 1899 12 -1.367 -1.046 0 0 -1.367 -1.046 -0.919 -0.885 1900 1 -1.385 1.010 0 0 -1.385 1.010 -1.276 0.832 1900 2 -4.645 -3.427 0 0 -4.645 -3.427 -3.279 -2.349 1900 3 0.479 -3.255 0 0 0.479 -3.255 1.061 -2.960 1900 4 7.808 -1.870 0 0 7.808 -1.870 9.556 -0.410 1900 5 14.879 -0.085 0 0 14.879 -0.085 15.291 0.040 1900 6 20.981 1.740 1 0 NaN NaN 20.008 0.480 1900 7 NaN NaN NaN NaN NaN NaN 22.305 0.622 1900 8 23.777 2.990 0 0 23.777 2.990 23.306 2.231 1900 9 20.467 3.242 0 0 20.467 3.242 20.681 3.170 1900 10 14.710 4.010 0 0 14.710 4.010 13.787 2.799 1900 11 5.124 0.032 0 0 5.124 0.032 6.667 1.287 1900 12 -1.319 -0.998 0 0 -1.319 -0.998 -0.903 -0.869 1901 1 -1.966 0.429 0 0 -1.966 0.429 -1.666 0.442 1901 2 -5.040 -3.822 0 0 -5.040 -3.822 -5.389 -4.458 1901 3 2.634 -1.100 0 0 2.634 -1.100 4.136 0.116 1901 4 6.874 -2.805 0 0 6.874 -2.805 7.527 -2.439 1901 5 13.069 -1.894 0 0 13.069 -1.894 14.379 -0.872 1901 6 20.360 1.119 0 0 20.360 1.119 19.604 0.075 1901 7 24.874 3.478 0 0 24.874 3.478 23.790 2.107 1901 8 22.461 1.674 0 0 22.461 1.674 21.509 0.435 1901 9 18.946 1.721 1 0 NaN NaN 16.572 -0.940 1901 10 NaN NaN NaN NaN NaN NaN 10.638 -0.349 1901 11 NaN NaN NaN NaN NaN NaN 2.159 -3.220 1901 12 NaN NaN NaN NaN NaN NaN -1.988 -1.954 1902 1 NaN NaN NaN NaN NaN NaN -3.494 -1.386 1902 2 NaN NaN NaN NaN NaN NaN -5.692 -4.762 1902 3 NaN NaN NaN NaN NaN NaN 4.775 0.754 1902 4 NaN NaN NaN NaN NaN NaN 8.484 -1.482 1902 5 NaN NaN NaN NaN NaN NaN 16.044 0.793 1902 6 NaN NaN NaN NaN NaN NaN 18.236 -1.293 1902 7 NaN NaN NaN NaN NaN NaN 21.927 0.244 1902 8 NaN NaN NaN NaN NaN NaN 19.528 -1.546 1902 9 NaN NaN NaN NaN NaN NaN 16.892 -0.619