% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30132 % Primary Name: FRANKLIN POWER HOUSE % Record Type: TAVG % Country: United States % State: NC % Latitude: 35.21670 +/- 0.00005 % Longitude: -83.36670 +/- 0.00005 % Elevation (m): 609.90 +/- 0.05 % # of Months: 92 % % Alternate Names: FRANKLIN PWR HOUSE % % IDs: coop - 313224 % ghcnd - USC00313224 % ncdc - 20013683 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 0d562360ff3e4c304c84bdbda07381db % Raw Data Hash: f988ea4b1ba42d1645177a4cde23bc5a % Adj Data Hash: 054f8495fbb572a4a55367a88ed110b4 % % 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 1940 6 NaN NaN NaN NaN NaN NaN 22.909 0.320 1940 7 NaN NaN NaN NaN NaN NaN 23.371 -1.009 1940 8 NaN NaN NaN NaN NaN NaN 23.923 -0.160 1940 9 NaN NaN NaN NaN NaN NaN 20.288 -0.725 1940 10 NaN NaN NaN NaN NaN NaN 15.322 0.501 1940 11 NaN NaN NaN NaN NaN NaN 9.544 -0.064 1940 12 NaN NaN NaN NaN NaN NaN 7.416 2.020 1941 1 NaN NaN NaN NaN NaN NaN 4.848 0.728 1941 2 NaN NaN NaN NaN NaN NaN 2.643 -2.987 1941 3 NaN NaN NaN NaN NaN NaN 6.765 -2.996 1941 4 NaN NaN NaN NaN NaN NaN 16.014 1.193 1941 5 NaN NaN NaN NaN NaN NaN 20.015 0.986 1941 6 22.392 1.437 1 0 NaN NaN 23.157 0.569 1941 7 24.975 2.228 1 0 NaN NaN 24.502 0.122 1941 8 24.237 1.787 0 0 24.237 1.787 24.791 0.708 1941 9 21.045 1.665 0 0 21.045 1.665 22.961 1.948 1941 10 17.034 3.847 0 0 17.034 3.847 18.575 3.755 1941 11 6.357 -1.618 0 0 6.357 -1.618 9.733 0.125 1941 12 5.502 1.739 0 0 5.502 1.739 7.007 1.611 1942 1 0.879 -1.608 0 0 0.879 -1.608 3.831 -0.290 1942 2 1.469 -2.528 0 0 1.469 -2.528 2.634 -2.997 1942 3 6.560 -1.567 0 0 6.560 -1.567 9.581 -0.179 1942 4 14.141 0.953 0 0 14.141 0.953 15.712 0.891 1942 5 18.647 1.251 0 0 18.647 1.251 18.967 -0.061 1942 6 24.003 3.049 0 0 24.003 3.049 23.670 1.082 1942 7 25.660 2.913 0 0 25.660 2.913 24.822 0.442 1942 8 24.244 1.794 0 0 24.244 1.794 23.238 -0.845 1942 9 18.967 -0.413 0 0 18.967 -0.413 20.806 -0.208 1942 10 13.771 0.584 0 0 13.771 0.584 15.106 0.286 1942 11 8.609 0.635 0 0 8.609 0.635 11.016 1.408 1942 12 4.250 0.487 0 0 4.250 0.487 5.011 -0.385 1943 1 5.470 2.983 0 0 5.470 2.983 5.899 1.779 1943 2 4.447 0.450 0 0 4.447 0.450 5.854 0.223 1943 3 6.994 -1.133 0 0 6.994 -1.133 8.398 -1.362 1943 4 12.463 -0.724 0 0 12.463 -0.724 14.223 -0.598 1943 5 18.529 1.134 0 0 18.529 1.134 19.836 0.808 1943 6 24.882 3.927 0 0 24.882 3.927 24.844 2.256 1943 7 23.206 0.460 0 0 23.206 0.460 24.183 -0.197 1943 8 24.892 2.442 0 0 24.892 2.442 24.990 0.906 1943 9 19.450 0.070 0 0 19.450 0.070 19.759 -1.254 1943 10 13.215 0.028 0 0 13.215 0.028 13.476 -1.344 1943 11 6.536 -1.438 1 0 NaN NaN 8.775 -0.833 1943 12 2.270 -1.492 0 0 2.270 -1.492 5.483 0.087 1944 1 2.410 -0.077 0 0 2.410 -0.077 4.804 0.683 1944 2 5.650 1.653 1 0 NaN NaN 8.013 2.383 1944 3 6.924 -1.203 0 0 6.924 -1.203 9.791 0.030 1944 4 11.798 -1.389 0 0 11.798 -1.389 14.174 -0.647 1944 5 20.120 2.724 1 0 NaN NaN 20.028 0.999 1944 6 24.568 3.613 0 0 24.568 3.613 24.536 1.948 1944 7 23.487 0.740 0 0 23.487 0.740 23.658 -0.723 1944 8 23.066 0.616 0 0 23.066 0.616 23.498 -0.585 1944 9 20.907 1.527 0 0 20.907 1.527 21.920 0.907 1944 10 13.442 0.255 0 0 13.442 0.255 14.798 -0.022 1944 11 7.160 -0.815 0 0 7.160 -0.815 9.245 -0.363 1944 12 1.483 -2.279 0 0 1.483 -2.279 3.307 -2.089 1945 1 3.305 0.818 0 0 3.305 0.818 4.266 0.146 1945 2 6.124 2.127 1 0 NaN NaN 6.875 1.245 1945 3 12.728 4.601 1 0 NaN NaN 14.646 4.885 1945 4 13.642 0.455 1 0 NaN NaN 16.448 1.627 1945 5 15.137 -2.258 0 0 15.137 -2.258 17.322 -1.707 1945 6 20.889 -0.066 0 0 20.889 -0.066 23.079 0.491 1945 7 22.741 -0.005 0 0 22.741 -0.005 24.357 -0.023 1945 8 NaN NaN NaN NaN NaN NaN 23.681 -0.402 1945 9 20.936 1.556 1 0 NaN NaN 22.826 1.812 1945 10 13.519 0.332 1 0 NaN NaN 14.266 -0.555 1945 11 NaN NaN NaN NaN NaN NaN 10.497 0.889 1945 12 NaN NaN NaN NaN NaN NaN 2.028 -3.368 1946 1 NaN NaN NaN NaN NaN NaN 5.010 0.890 1946 2 NaN NaN NaN NaN NaN NaN 6.299 0.668 1946 3 NaN NaN NaN NaN NaN NaN 13.208 3.448 1946 4 NaN NaN NaN NaN NaN NaN 16.082 1.261 1946 5 18.748 1.353 1 0 NaN NaN 18.186 -0.842 1946 6 NaN NaN NaN NaN NaN NaN 22.367 -0.221 1946 7 22.515 -0.231 0 0 22.515 -0.231 23.971 -0.409 1946 8 21.443 -1.007 0 0 21.443 -1.007 23.429 -0.655 1946 9 17.615 -1.764 0 0 17.615 -1.764 20.530 -0.483 1946 10 12.802 -0.385 0 0 12.802 -0.385 14.973 0.152 1946 11 9.656 1.681 0 0 9.656 1.681 12.936 3.328 1946 12 3.305 -0.458 0 0 3.305 -0.458 7.501 2.105 1947 1 5.822 3.335 0 0 5.822 3.335 6.805 2.684 1947 2 -1.598 -5.595 1 0 NaN NaN 1.621 -4.010 1947 3 14.042 5.915 0 0 14.042 5.915 5.816 -3.944 1947 4 3.314 -9.873 1 0 NaN NaN 16.482 1.661 1947 5 16.333 -1.062 0 0 16.333 -1.062 18.390 -0.639 1947 6 20.246 -0.709 0 0 20.246 -0.709 22.232 -0.356 1947 7 20.504 -2.243 0 0 20.504 -2.243 22.693 -1.688 1947 8 22.494 0.044 0 0 22.494 0.044 24.858 0.775 1947 9 19.572 0.192 0 0 19.572 0.192 22.410 1.397 1947 10 15.205 2.018 0 0 15.205 2.018 17.149 2.328 1947 11 7.326 -0.649 0 0 7.326 -0.649 8.711 -0.897 1947 12 3.433 -0.330 0 0 3.433 -0.330 5.497 0.101 1948 1 0.691 -1.797 0 0 0.691 -1.797 1.436 -2.685 1948 2 6.829 2.832 1 0 NaN NaN 6.915 1.285 1948 3 9.585 1.458 0 0 9.585 1.458 12.032 2.272 1948 4 11.662 -1.526 0 0 11.662 -1.526 17.005 2.184 1948 5 15.083 -2.313 0 0 15.083 -2.313 18.997 -0.032 1948 6 18.675 -2.280 0 0 18.675 -2.280 23.229 0.641 1948 7 23.249 0.502 0 0 23.249 0.502 24.629 0.249 1948 8 NaN NaN NaN NaN NaN NaN 23.258 -0.825 1948 9 18.718 -0.662 1 0 NaN NaN 20.528 -0.485 1948 10 10.756 -2.431 0 0 10.756 -2.431 13.283 -1.538 1948 11 9.802 1.827 0 0 9.802 1.827 11.722 2.114 1948 12 NaN NaN NaN NaN NaN NaN 6.968 1.572 1949 1 7.362 4.875 0 0 7.362 4.875 9.254 5.134 1949 2 NaN NaN NaN NaN NaN NaN 8.532 2.902 1949 3 7.172 -0.955 0 0 7.172 -0.955 9.439 -0.322 1949 4 12.361 -0.826 0 0 12.361 -0.826 13.518 -1.303 1949 5 17.080 -0.315 0 0 17.080 -0.315 19.280 0.251 1949 6 20.692 -0.263 0 0 20.692 -0.263 22.695 0.107 1949 7 23.426 0.679 1 0 NaN NaN 24.995 0.614 1949 8 22.165 -0.285 1 0 NaN NaN 23.624 -0.460 1949 9 16.227 -3.153 0 0 16.227 -3.153 19.688 -1.325 1949 10 16.097 2.910 0 0 16.097 2.910 17.524 2.703 1949 11 5.332 -2.643 0 0 5.332 -2.643 8.840 -0.768 1949 12 4.856 1.093 0 0 4.856 1.093 6.377 0.981 1950 1 NaN NaN NaN NaN NaN NaN 10.871 6.750 1950 2 NaN NaN NaN NaN NaN NaN 7.736 2.105 1950 3 NaN NaN NaN NaN NaN NaN 8.238 -1.522 1950 4 NaN NaN NaN NaN NaN NaN 13.337 -1.484 1950 5 NaN NaN NaN NaN NaN NaN 20.363 1.334 1950 6 NaN NaN NaN NaN NaN NaN 23.011 0.423 1950 7 NaN NaN NaN NaN NaN NaN 23.196 -1.184 1950 8 NaN NaN NaN NaN NaN NaN 22.886 -1.197 1950 9 NaN NaN NaN NaN NaN NaN 20.298 -0.715 1950 10 NaN NaN NaN NaN NaN NaN 16.891 2.071 1950 11 NaN NaN NaN NaN NaN NaN 7.602 -2.006 1950 12 NaN NaN NaN NaN NaN NaN 3.035 -2.362