% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31832 % Primary Name: SMITHS GROVE % Record Type: TAVG % Country: United States % State: KY % Latitude: 37.06670 +/- 0.00005 % Longitude: -86.20000 +/- 0.00005 % Elevation (m): 196.60 +/- 1.55 % # of Months: 91 % % Alternate Names: Missing Station ID - 157486 % % IDs: coop - 157486 % ghcnd - USC00157486 % ncdc - 20008191 % wban - 93883 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 5db83971867dd77601ad812d03769367 % Raw Data Hash: 4c8a2564d934a2c28b386fc0bdf02d47 % Adj Data Hash: 1c8a0a480d5a5def73d016c3bcb62bd6 % % 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 1936 5 NaN NaN NaN NaN NaN NaN 19.669 1.328 1936 6 NaN NaN NaN NaN NaN NaN 24.161 1.414 1936 7 NaN NaN NaN NaN NaN NaN 27.184 2.424 1936 8 NaN NaN NaN NaN NaN NaN 27.006 2.894 1936 9 NaN NaN NaN NaN NaN NaN 23.544 2.897 1936 10 NaN NaN NaN NaN NaN NaN 13.920 0.118 1936 11 NaN NaN NaN NaN NaN NaN 5.647 -1.923 1936 12 NaN NaN NaN NaN NaN NaN 4.161 1.552 1937 1 NaN NaN NaN NaN NaN NaN 4.910 4.654 1937 2 NaN NaN NaN NaN NaN NaN 2.009 -0.158 1937 3 NaN NaN NaN NaN NaN NaN 4.906 -2.423 1937 4 NaN NaN NaN NaN NaN NaN 12.924 -0.484 1937 5 19.252 0.093 0 0 19.252 0.093 17.742 -0.599 1937 6 23.667 0.102 0 0 23.667 0.102 23.234 0.487 1937 7 24.667 -0.911 0 0 24.667 -0.911 23.925 -0.835 1937 8 26.111 1.182 0 0 26.111 1.182 25.249 1.138 1937 9 20.333 -1.132 0 0 20.333 -1.132 19.643 -1.005 1937 10 13.889 -0.730 0 0 13.889 -0.730 12.422 -1.380 1937 11 6.722 -1.665 0 0 6.722 -1.665 5.795 -1.775 1937 12 2.556 -0.871 0 0 2.556 -0.871 1.441 -1.168 1938 1 2.667 1.593 0 0 2.667 1.593 0.840 0.584 1938 2 8.222 5.238 0 0 8.222 5.238 6.331 4.165 1938 3 12.111 3.964 0 0 12.111 3.964 11.120 3.791 1938 4 15.444 1.219 0 0 15.444 1.219 14.846 1.438 1938 5 20.722 1.563 0 0 20.722 1.563 18.197 -0.145 1938 6 22.333 -1.231 0 0 22.333 -1.231 21.785 -0.962 1938 7 25.333 -0.244 0 0 25.333 -0.244 24.782 0.022 1938 8 25.611 0.682 0 0 25.611 0.682 24.963 0.851 1938 9 21.000 -0.465 0 0 21.000 -0.465 21.131 0.483 1938 10 15.333 0.714 0 0 15.333 0.714 14.814 1.013 1938 11 8.389 0.001 0 0 8.389 0.001 8.574 1.004 1938 12 2.667 -0.759 0 0 2.667 -0.759 2.711 0.102 1939 1 5.278 4.204 0 0 5.278 4.204 3.215 2.959 1939 2 5.778 2.793 0 0 5.778 2.793 3.473 1.306 1939 3 10.222 2.075 0 0 10.222 2.075 8.740 1.410 1939 4 12.278 -1.948 0 0 12.278 -1.948 11.693 -1.716 1939 5 19.111 -0.048 0 0 19.111 -0.048 18.658 0.317 1939 6 24.000 0.435 0 0 24.000 0.435 23.784 1.036 1939 7 25.222 -0.355 0 0 25.222 -0.355 24.486 -0.274 1939 8 24.556 -0.373 0 0 24.556 -0.373 23.705 -0.406 1939 9 24.444 2.979 0 0 24.444 2.979 23.634 2.986 1939 10 16.556 1.936 0 0 16.556 1.936 15.474 1.672 1939 11 7.000 -1.388 0 0 7.000 -1.388 6.065 -1.505 1939 12 4.444 1.018 0 0 4.444 1.018 3.266 0.657 1940 1 -5.778 -6.851 0 0 -5.778 -6.851 -7.510 -7.766 1940 2 2.833 -0.151 0 0 2.833 -0.151 0.913 -1.254 1940 3 6.778 -1.369 0 0 6.778 -1.369 5.886 -1.444 1940 4 11.833 -2.393 0 0 11.833 -2.393 11.998 -1.411 1940 5 15.833 -3.326 0 0 15.833 -3.326 15.839 -2.502 1940 6 23.111 -0.454 0 0 23.111 -0.454 22.751 0.003 1940 7 24.444 -1.133 0 0 24.444 -1.133 24.151 -0.609 1940 8 24.333 -0.595 0 0 24.333 -0.595 24.362 0.250 1940 9 19.611 -1.854 0 0 19.611 -1.854 19.280 -1.367 1940 10 16.222 1.603 0 0 16.222 1.603 15.060 1.258 1940 11 7.667 -0.721 0 0 7.667 -0.721 7.381 -0.190 1940 12 6.000 2.574 0 0 6.000 2.574 5.544 2.936 1941 1 2.667 1.593 0 0 2.667 1.593 1.309 1.054 1941 2 0.667 -2.318 0 0 0.667 -2.318 -0.599 -2.766 1941 3 5.167 -2.980 0 0 5.167 -2.980 4.218 -3.111 1941 4 16.444 2.219 0 0 16.444 2.219 15.211 1.803 1941 5 20.222 1.063 0 0 20.222 1.063 19.160 0.819 1941 6 24.333 0.769 0 0 24.333 0.769 23.345 0.598 1941 7 25.722 0.145 0 0 25.722 0.145 25.126 0.366 1941 8 25.556 0.627 0 0 25.556 0.627 24.438 0.327 1941 9 23.278 1.813 0 0 23.278 1.813 22.809 2.162 1941 10 18.500 3.881 0 0 18.500 3.881 17.192 3.390 1941 11 7.778 -0.610 0 0 7.778 -0.610 7.708 0.138 1941 12 6.444 3.018 0 0 6.444 3.018 5.375 2.767 1942 1 0.444 -0.629 0 0 0.444 -0.629 -0.866 -1.122 1942 2 1.222 -1.762 0 0 1.222 -1.762 -0.227 -2.394 1942 3 8.667 0.520 0 0 8.667 0.520 8.553 1.224 1942 4 15.056 0.830 0 0 15.056 0.830 14.597 1.188 1942 5 18.750 -0.409 0 0 18.750 -0.409 18.106 -0.236 1942 6 24.222 0.657 0 0 24.222 0.657 23.476 0.729 1942 7 25.944 0.367 0 0 25.944 0.367 25.238 0.478 1942 8 24.111 -0.818 0 0 24.111 -0.818 23.580 -0.531 1942 9 19.000 -2.465 0 0 19.000 -2.465 19.998 -0.649 1942 10 15.000 0.381 0 0 15.000 0.381 14.156 0.354 1942 11 10.000 1.612 0 0 10.000 1.612 9.378 1.807 1942 12 NaN NaN NaN NaN NaN NaN 1.635 -0.973 1943 1 3.556 2.482 0 0 3.556 2.482 1.762 1.506 1943 2 6.167 3.182 0 0 6.167 3.182 3.110 0.943 1943 3 6.056 -2.091 0 0 6.056 -2.091 5.498 -1.831 1943 4 12.556 -1.670 0 0 12.556 -1.670 12.093 -1.315 1943 5 19.833 0.674 0 0 19.833 0.674 19.054 0.712 1943 6 25.611 2.046 0 0 25.611 2.046 25.107 2.359 1943 7 25.667 0.089 0 0 25.667 0.089 25.165 0.405 1943 8 26.111 1.182 0 0 26.111 1.182 25.408 1.297 1943 9 19.222 -2.243 0 0 19.222 -2.243 19.202 -1.446 1943 10 13.444 -1.175 0 0 13.444 -1.175 13.058 -0.744 1943 11 6.556 -1.832 0 0 6.556 -1.832 6.631 -0.939 1943 12 1.778 -1.648 0 0 1.778 -1.648 1.157 -1.452 1944 1 3.556 2.482 0 0 3.556 2.482 1.920 1.664 1944 2 6.667 3.682 0 0 6.667 3.682 4.593 2.426 1944 3 7.444 -0.702 0 0 7.444 -0.702 6.525 -0.804 1944 4 12.667 -1.559 0 0 12.667 -1.559 12.851 -0.558 1944 5 21.556 2.397 0 0 21.556 2.397 20.852 2.511 1944 6 26.111 2.546 0 0 26.111 2.546 25.318 2.570 1944 7 26.000 0.422 0 0 26.000 0.422 25.115 0.354 1944 8 24.833 -0.095 0 0 24.833 -0.095 24.277 0.165 1944 9 20.611 -0.854 0 0 20.611 -0.854 20.358 -0.290 1944 10 14.278 -0.341 0 0 14.278 -0.341 13.455 -0.347 1944 11 8.111 -0.277 0 0 8.111 -0.277 7.641 0.071 1944 12 1.950 -1.476 1 0 NaN NaN 0.023 -2.586 1945 1 NaN NaN NaN NaN NaN NaN -1.587 -1.843 1945 2 NaN NaN NaN NaN NaN NaN 2.401 0.234 1945 3 NaN NaN NaN NaN NaN NaN 12.958 5.628 1945 4 NaN NaN NaN NaN NaN NaN 14.354 0.945 1945 5 NaN NaN NaN NaN NaN NaN 15.879 -2.462 1945 6 NaN NaN NaN NaN NaN NaN 21.901 -0.847 1945 7 NaN NaN NaN NaN NaN NaN 23.753 -1.007 1945 8 NaN NaN NaN NaN NaN NaN 23.877 -0.234 1945 9 NaN NaN NaN NaN NaN NaN 22.832 2.184 1945 10 NaN NaN NaN NaN NaN NaN 13.281 -0.521 1945 11 NaN NaN NaN NaN NaN NaN 8.787 1.217 1945 12 NaN NaN NaN NaN NaN NaN -0.622 -3.231