% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33556 % Primary Name: CADDO % Record Type: TAVG % Country: United States % State: KY % Latitude: 38.75000 +/- 0.00500 % Longitude: -84.25000 +/- 0.00500 % Elevation (m): 249.88 +/- 50.88 % # of Months: 75 % % Alternate Names: Missing Station ID - 151194 % % IDs: coop - 151194 % ghcnd - USC00151194 % ncdc - 20008548 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 94fee7783ec30f4497eff6478d0bb33d % Raw Data Hash: 65e95adc490aea9161ca799d13a5a120 % Adj Data Hash: e0b4f8f785817150a73d9c3926dcd064 % % 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 1892 1 NaN NaN NaN NaN NaN NaN -4.647 -2.787 1892 2 NaN NaN NaN NaN NaN NaN 1.425 1.676 1892 3 NaN NaN NaN NaN NaN NaN 2.397 -2.815 1892 4 NaN NaN NaN NaN NaN NaN 10.522 -0.893 1892 5 NaN NaN NaN NaN NaN NaN 15.939 -1.018 1892 6 NaN NaN NaN NaN NaN NaN 22.850 1.314 1892 7 NaN NaN NaN NaN NaN NaN 22.686 -0.836 1892 8 NaN NaN NaN NaN NaN NaN 21.999 -0.759 1892 9 NaN NaN NaN NaN NaN NaN 18.490 -0.733 1892 10 NaN NaN NaN NaN NaN NaN 11.292 -1.177 1892 11 NaN NaN NaN NaN NaN NaN 3.944 -2.243 1892 12 NaN NaN NaN NaN NaN NaN -1.689 -2.346 1893 1 -6.667 -6.245 0 0 -6.667 -6.245 -8.095 -6.234 1893 2 2.381 1.193 0 0 2.381 1.193 -0.637 -0.386 1893 3 7.186 0.535 0 0 7.186 0.535 4.396 -0.817 1893 4 11.463 -1.391 0 0 11.463 -1.391 11.260 -0.154 1893 5 16.219 -2.177 0 0 16.219 -2.177 15.023 -1.934 1893 6 22.278 -0.698 0 0 22.278 -0.698 21.640 0.103 1893 7 27.706 2.745 0 0 27.706 2.745 23.942 0.420 1893 8 23.441 -0.756 0 0 23.441 -0.756 21.670 -1.088 1893 9 20.370 -0.292 0 0 20.370 -0.292 19.287 0.064 1893 10 13.853 -0.055 0 0 13.853 -0.055 11.897 -0.572 1893 11 6.037 -1.589 0 0 6.037 -1.589 4.834 -1.353 1893 12 NaN NaN NaN NaN NaN NaN 1.137 0.479 1894 1 5.305 5.726 0 0 5.305 5.726 1.068 2.928 1894 2 4.362 3.174 1 0 NaN NaN -1.261 -1.010 1894 3 8.741 2.089 0 0 8.741 2.089 7.864 2.651 1894 4 -17.778 -30.631 1 0 NaN NaN 11.178 -0.237 1894 5 19.677 1.281 0 0 19.677 1.281 16.069 -0.888 1894 6 23.926 0.950 0 0 23.926 0.950 22.366 0.829 1894 7 26.918 1.957 0 0 26.918 1.957 23.619 0.098 1894 8 24.391 0.193 0 0 24.391 0.193 22.150 -0.608 1894 9 NaN NaN NaN NaN NaN NaN 20.609 1.385 1894 10 14.278 0.370 0 0 14.278 0.370 12.334 -0.135 1894 11 NaN NaN NaN NaN NaN NaN 4.075 -2.112 1894 12 3.513 1.416 0 0 3.513 1.416 1.318 0.660 1895 1 -1.237 -0.815 0 0 -1.237 -0.815 -4.554 -2.693 1895 2 -3.869 -5.057 0 0 -3.869 -5.057 -7.016 -6.765 1895 3 5.699 -0.953 0 0 5.699 -0.953 3.469 -1.743 1895 4 13.487 0.633 0 0 13.487 0.633 11.951 0.536 1895 5 17.043 -1.353 0 0 17.043 -1.353 16.213 -0.744 1895 6 24.926 1.950 0 0 24.926 1.950 22.897 1.360 1895 7 24.964 0.003 0 0 24.964 0.003 22.360 -1.162 1895 8 25.394 1.197 0 0 25.394 1.197 23.300 0.542 1895 9 24.315 3.653 0 0 24.315 3.653 21.718 2.495 1895 10 8.763 -5.145 0 0 8.763 -5.145 8.642 -3.827 1895 11 6.093 -1.533 0 0 6.093 -1.533 5.843 -0.344 1895 12 1.039 -1.057 0 0 1.039 -1.057 1.705 1.048 1896 1 0.116 0.537 0 0 0.116 0.537 -1.269 0.591 1896 2 0.298 -0.890 0 0 0.298 -0.890 -0.542 -0.291 1896 3 2.863 -3.789 0 0 2.863 -3.789 1.320 -3.892 1896 4 16.057 3.203 0 0 16.057 3.203 15.072 3.658 1896 5 21.869 3.473 0 0 21.869 3.473 20.407 3.450 1896 6 22.245 -0.731 0 0 22.245 -0.731 21.339 -0.198 1896 7 23.884 -1.077 0 0 23.884 -1.077 23.221 -0.301 1896 8 23.721 -0.476 0 0 23.721 -0.476 22.408 -0.350 1896 9 19.600 -1.062 0 0 19.600 -1.062 17.956 -1.267 1896 10 12.166 -1.742 0 0 12.166 -1.742 9.968 -2.501 1896 11 8.480 0.854 0 0 8.480 0.854 7.975 1.788 1896 12 2.797 0.700 0 0 2.797 0.700 1.271 0.614 1897 1 -2.162 -1.740 0 0 -2.162 -1.740 -3.604 -1.743 1897 2 2.184 0.996 0 0 2.184 0.996 0.942 1.193 1897 3 8.005 1.353 0 0 8.005 1.353 6.796 1.584 1897 4 11.855 -0.999 0 0 11.855 -0.999 10.640 -0.775 1897 5 15.818 -2.578 0 0 15.818 -2.578 14.013 -2.944 1897 6 21.843 -1.132 0 0 21.843 -1.132 20.840 -0.697 1897 7 24.760 -0.201 0 0 24.760 -0.201 24.262 0.740 1897 8 22.897 -1.300 0 0 22.897 -1.300 21.256 -1.502 1897 9 25.194 4.532 1 0 NaN NaN 20.045 0.822 1897 10 17.791 3.883 0 0 17.791 3.883 14.847 2.378 1897 11 7.401 -0.225 1 0 NaN NaN 6.488 0.301 1897 12 NaN NaN NaN NaN NaN NaN 1.097 0.439 1898 1 2.018 2.439 0 0 2.018 2.439 0.357 2.217 1898 2 1.552 0.364 0 0 1.552 0.364 -0.794 -0.543 1898 3 8.692 2.040 0 0 8.692 2.040 8.162 2.949 1898 4 9.618 -3.235 0 0 9.618 -3.235 9.260 -2.155 1898 5 18.329 -0.067 0 0 18.329 -0.067 16.857 -0.100 1898 6 24.335 1.359 0 0 24.335 1.359 22.597 1.060 1898 7 25.543 0.582 0 0 25.543 0.582 24.586 1.065 1898 8 24.669 0.472 0 0 24.669 0.472 23.215 0.457 1898 9 22.455 1.793 0 0 22.455 1.793 20.984 1.761 1898 10 13.923 0.015 0 0 13.923 0.015 12.640 0.171 1898 11 5.047 -2.579 0 0 5.047 -2.579 4.472 -1.715 1898 12 -0.392 -2.488 0 0 -0.392 -2.488 -1.239 -1.896 1899 1 -0.276 0.146 0 0 -0.276 0.146 -1.945 -0.085 1899 2 -4.857 -6.045 0 0 -4.857 -6.045 -5.943 -5.692 1899 3 4.438 -2.213 0 0 4.438 -2.213 4.333 -0.879 1899 4 NaN NaN NaN NaN NaN NaN 12.616 1.201 1899 5 NaN NaN NaN NaN NaN NaN 18.095 1.138 1899 6 NaN NaN NaN NaN NaN NaN 22.612 1.076 1899 7 NaN NaN NaN NaN NaN NaN 23.564 0.042 1899 8 NaN NaN NaN NaN NaN NaN 23.506 0.748 1899 9 NaN NaN NaN NaN NaN NaN 18.946 -0.277 1899 10 13.180 -0.728 0 0 13.180 -0.728 14.300 1.831 1899 11 NaN NaN NaN NaN NaN NaN 7.484 1.297 1899 12 NaN NaN NaN NaN NaN NaN -0.539 -1.196 1900 1 0.513 0.934 0 0 0.513 0.934 -0.384 1.477 1900 2 NaN NaN NaN NaN NaN NaN -2.928 -2.677 1900 3 NaN NaN NaN NaN NaN NaN 2.452 -2.761 1900 4 10.873 -1.980 0 0 10.873 -1.980 11.206 -0.209 1900 5 15.605 -2.791 0 0 15.605 -2.791 17.496 0.539 1900 6 NaN NaN NaN NaN NaN NaN 21.862 0.325 1900 7 NaN NaN NaN NaN NaN NaN 23.722 0.200 1900 8 NaN NaN NaN NaN NaN NaN 24.932 2.174 1900 9 NaN NaN NaN NaN NaN NaN 21.984 2.761 1900 10 NaN NaN NaN NaN NaN NaN 16.046 3.577 1900 11 NaN NaN NaN NaN NaN NaN 6.185 -0.002 1900 12 NaN NaN NaN NaN NaN NaN 0.259 -0.398 1901 1 NaN NaN NaN NaN NaN NaN -1.211 0.649 1901 2 NaN NaN NaN NaN NaN NaN -4.984 -4.733 1901 3 NaN NaN NaN NaN NaN NaN 5.335 0.122 1901 4 NaN NaN NaN NaN NaN NaN 8.753 -2.662 1901 5 NaN NaN NaN NaN NaN NaN 15.550 -1.407