% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35483 % Primary Name: CLAIRTON % Record Type: TAVG % Country: United States % State: PA % Latitude: 40.30000 +/- 0.00005 % Longitude: -79.86670 +/- 0.00005 % Elevation (m): 310.90 +/- 0.15 % # of Months: 116 % % Alternate Names: Missing Station ID - 361461 % % IDs: coop - 361461 % ghcnd - USC00361461 % ncdc - 12004580 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 59ee76238dce3c398e83d9e7b18e39ae % Raw Data Hash: 29ee73d79276dd82d33bb883b2e5aec1 % Adj Data Hash: a0c9557fca64c4508660ec86be6f6802 % % 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 1929 11 NaN NaN NaN NaN NaN NaN 3.182 -0.763 1929 12 NaN NaN NaN NaN NaN NaN -1.870 0.288 1930 1 NaN NaN NaN NaN NaN NaN -3.797 0.863 1930 2 NaN NaN NaN NaN NaN NaN -0.518 3.170 1930 3 NaN NaN NaN NaN NaN NaN 1.070 -0.463 1930 4 NaN NaN NaN NaN NaN NaN 7.756 -0.319 1930 5 NaN NaN NaN NaN NaN NaN 14.133 0.358 1930 6 NaN NaN NaN NaN NaN NaN 18.310 -0.095 1930 7 NaN NaN NaN NaN NaN NaN 20.645 0.098 1930 8 NaN NaN NaN NaN NaN NaN 19.263 -0.566 1930 9 NaN NaN NaN NaN NaN NaN 18.124 1.990 1930 10 NaN NaN NaN NaN NaN NaN 8.572 -1.176 1930 11 6.375 0.385 0 0 6.375 0.385 4.339 0.394 1930 12 -0.931 -0.818 0 0 -0.931 -0.818 -3.518 -1.360 1931 1 0.147 2.762 0 0 0.147 2.762 -3.127 1.534 1931 2 0.654 2.296 0 0 0.654 2.296 -2.208 1.480 1931 3 1.650 -1.928 0 0 1.650 -1.928 0.375 -1.159 1931 4 9.486 -0.634 0 0 9.486 -0.634 7.582 -0.493 1931 5 15.239 -0.582 0 0 15.239 -0.582 13.307 -0.468 1931 6 20.185 -0.265 0 0 20.185 -0.265 18.359 -0.047 1931 7 23.776 1.184 0 0 23.776 1.184 22.059 1.512 1931 8 21.342 -0.533 0 0 21.342 -0.533 19.820 -0.009 1931 9 20.348 2.169 0 0 20.348 2.169 18.993 2.859 1931 10 12.863 1.070 0 0 12.863 1.070 11.192 1.444 1931 11 9.948 3.958 0 0 9.948 3.958 8.627 4.682 1931 12 4.487 4.599 0 0 4.487 4.599 1.426 3.583 1932 1 4.919 7.534 0 0 4.919 7.534 2.455 7.115 1932 2 2.912 4.555 0 0 2.912 4.555 -0.239 3.448 1932 3 0.455 -3.124 0 0 0.455 -3.124 -1.071 -2.605 1932 4 8.577 -1.543 0 0 8.577 -1.543 6.887 -1.188 1932 5 15.476 -0.345 0 0 15.476 -0.345 13.498 -0.277 1932 6 20.130 -0.320 0 0 20.130 -0.320 18.456 0.051 1932 7 21.476 -1.116 0 0 21.476 -1.116 19.923 -0.624 1932 8 21.037 -0.837 0 0 21.037 -0.837 19.762 -0.067 1932 9 17.624 -0.555 0 0 17.624 -0.555 16.810 0.676 1932 10 11.041 -0.753 0 0 11.041 -0.753 10.295 0.548 1932 11 3.221 -2.770 0 0 3.221 -2.770 2.891 -1.054 1932 12 0.752 0.864 0 0 0.752 0.864 -1.411 0.746 1933 1 2.913 5.528 0 0 2.913 5.528 0.654 5.314 1933 2 0.085 1.728 0 0 0.085 1.728 -2.926 0.762 1933 3 2.016 -1.562 0 0 2.016 -1.562 0.626 -0.908 1933 4 9.502 -0.618 0 0 9.502 -0.618 9.346 1.271 1933 5 15.606 -0.214 0 0 15.606 -0.214 14.749 0.974 1933 6 20.850 0.400 0 0 20.850 0.400 19.765 1.360 1933 7 21.737 -0.854 0 0 21.737 -0.854 20.662 0.116 1933 8 20.968 -0.907 0 0 20.968 -0.907 19.750 -0.079 1933 9 18.973 0.794 0 0 18.973 0.794 17.566 1.433 1933 10 10.327 -1.466 0 0 10.327 -1.466 9.060 -0.688 1933 11 3.543 -2.447 0 0 3.543 -2.447 2.221 -1.724 1933 12 1.318 1.430 0 0 1.318 1.430 -1.656 0.502 1934 1 -0.003 2.612 0 0 -0.003 2.612 -2.157 2.503 1934 2 -7.875 -6.232 0 0 -7.875 -6.232 -10.330 -6.643 1934 3 1.682 -1.896 0 0 1.682 -1.896 -0.232 -1.765 1934 4 10.073 -0.047 0 0 10.073 -0.047 7.862 -0.213 1934 5 17.621 1.801 0 0 17.621 1.801 14.855 1.080 1934 6 23.313 2.863 0 0 23.313 2.863 21.044 2.639 1934 7 24.594 2.002 0 0 24.594 2.002 22.192 1.646 1934 8 20.360 -1.515 0 0 20.360 -1.515 18.446 -1.383 1934 9 19.137 0.958 0 0 19.137 0.958 17.546 1.412 1934 10 11.069 -0.724 0 0 11.069 -0.724 9.300 -0.448 1934 11 7.847 1.856 0 0 7.847 1.856 5.941 1.996 1934 12 -1.365 -1.252 0 0 -1.365 -1.252 -3.102 -0.944 1935 1 -1.798 0.817 0 0 -1.798 0.817 -4.654 0.007 1935 2 -1.207 0.435 0 0 -1.207 0.435 -4.314 -0.626 1935 3 7.400 3.822 0 0 7.400 3.822 4.377 2.844 1935 4 7.623 -2.497 0 0 7.623 -2.497 6.721 -1.354 1935 5 13.195 -2.625 0 0 13.195 -2.625 10.880 -2.895 1935 6 19.118 -1.332 0 0 19.118 -1.332 17.473 -0.932 1935 7 23.506 0.915 0 0 23.506 0.915 21.872 1.326 1935 8 21.495 -0.379 0 0 21.495 -0.379 19.782 -0.048 1935 9 16.960 -1.219 0 0 16.960 -1.219 15.082 -1.052 1935 10 10.845 -0.948 0 0 10.845 -0.948 9.518 -0.230 1935 11 6.093 0.103 0 0 6.093 0.103 5.189 1.244 1935 12 -4.074 -3.962 0 0 -4.074 -3.962 -5.596 -3.438 1936 1 -4.742 -2.127 0 0 -4.742 -2.127 -7.159 -2.498 1936 2 -5.266 -3.623 0 0 -5.266 -3.623 -8.589 -4.902 1936 3 6.271 2.693 0 0 6.271 2.693 3.461 1.927 1936 4 8.429 -1.691 0 0 8.429 -1.691 5.871 -2.204 1936 5 17.029 1.209 0 0 17.029 1.209 14.909 1.134 1936 6 20.658 0.208 0 0 20.658 0.208 18.128 -0.277 1936 7 23.430 0.838 0 0 23.430 0.838 20.798 0.252 1936 8 23.326 1.451 0 0 23.326 1.451 21.012 1.182 1936 9 19.460 1.281 0 0 19.460 1.281 17.494 1.360 1936 10 11.721 -0.072 0 0 11.721 -0.072 10.330 0.582 1936 11 3.288 -2.702 0 0 3.288 -2.702 2.415 -1.530 1936 12 2.839 2.951 0 0 2.839 2.951 -1.285 0.873 1937 1 3.827 6.443 0 0 3.827 6.443 0.058 4.718 1937 2 -0.289 1.353 0 0 -0.289 1.353 -3.141 0.547 1937 3 1.454 -2.124 0 0 1.454 -2.124 -0.754 -2.287 1937 4 9.067 -1.053 0 0 9.067 -1.053 7.025 -1.050 1937 5 15.976 0.155 0 0 15.976 0.155 13.574 -0.201 1937 6 19.970 -0.480 0 0 19.970 -0.480 18.765 0.359 1937 7 21.153 -1.438 0 0 21.153 -1.438 20.455 -0.091 1937 8 22.758 0.884 0 0 22.758 0.884 21.402 1.573 1937 9 15.415 -2.764 0 0 15.415 -2.764 14.631 -1.503 1937 10 9.506 -2.287 0 0 9.506 -2.287 8.198 -1.550 1937 11 3.815 -2.176 0 0 3.815 -2.176 3.360 -0.585 1937 12 -1.260 -1.147 0 0 -1.260 -1.147 -4.008 -1.850 1938 1 -1.432 1.183 0 0 -1.432 1.183 -4.229 0.432 1938 2 2.400 4.043 0 0 2.400 4.043 -1.022 2.666 1938 3 7.385 3.807 0 0 7.385 3.807 4.275 2.741 1938 4 10.678 0.558 0 0 10.678 0.558 8.897 0.822 1938 5 14.458 -1.362 0 0 14.458 -1.362 12.973 -0.802 1938 6 18.587 -1.864 0 0 18.587 -1.864 17.437 -0.968 1938 7 22.792 0.200 0 0 22.792 0.200 20.726 0.179 1938 8 23.005 1.130 0 0 23.005 1.130 21.376 1.547 1938 9 17.052 -1.127 0 0 17.052 -1.127 15.099 -1.035 1938 10 11.740 -0.053 0 0 11.740 -0.053 10.676 0.928 1938 11 5.998 0.008 0 0 5.998 0.008 5.076 1.131 1938 12 0.135 0.248 0 0 0.135 0.248 -2.171 -0.013 1939 1 0.071 2.686 0 0 0.071 2.686 -3.066 1.594 1939 2 1.280 2.922 0 0 1.280 2.922 -2.113 1.575 1939 3 4.111 0.533 0 0 4.111 0.533 1.788 0.255 1939 4 7.905 -2.215 0 0 7.905 -2.215 6.447 -1.628 1939 5 17.453 1.633 0 0 17.453 1.633 15.199 1.424 1939 6 21.563 1.113 0 0 21.563 1.113 19.148 0.743 1939 7 21.653 -0.938 0 0 21.653 -0.938 19.841 -0.705 1939 8 22.523 0.648 0 0 22.523 0.648 20.836 1.007 1939 9 20.290 2.111 0 0 20.290 2.111 17.269 1.136 1939 10 13.658 1.865 0 0 13.658 1.865 10.341 0.593 1939 11 5.327 -0.664 0 0 5.327 -0.664 2.889 -1.056 1939 12 2.335 2.448 0 0 2.335 2.448 -0.942 1.216 1940 1 -7.255 -4.640 0 0 -7.255 -4.640 -10.099 -5.439 1940 2 -0.262 1.380 0 0 -0.262 1.380 -4.238 -0.550 1940 3 1.618 -1.961 0 0 1.618 -1.961 -1.895 -3.428 1940 4 8.660 -1.460 0 0 8.660 -1.460 5.896 -2.179 1940 5 15.868 0.047 0 0 15.868 0.047 12.932 -0.843 1940 6 20.613 0.163 0 0 20.613 0.163 18.143 -0.262 1940 7 NaN NaN NaN NaN NaN NaN 20.249 -0.297 1940 8 NaN NaN NaN NaN NaN NaN 18.665 -1.164 1940 9 NaN NaN NaN NaN NaN NaN 14.651 -1.482 1940 10 NaN NaN NaN NaN NaN NaN 8.333 -1.415 1940 11 NaN NaN NaN NaN NaN NaN 3.839 -0.106 1940 12 NaN NaN NaN NaN NaN NaN 0.213 2.371 1941 1 NaN NaN NaN NaN NaN NaN -4.657 0.003 1941 2 NaN NaN NaN NaN NaN NaN -5.905 -2.217 1941 3 NaN NaN NaN NaN NaN NaN -2.064 -3.597 1941 4 NaN NaN NaN NaN NaN NaN 11.265 3.190 1941 5 NaN NaN NaN NaN NaN NaN 13.983 0.208 1941 6 NaN NaN NaN NaN NaN NaN 18.670 0.265