% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32090 % Primary Name: WEEKSBURY % Record Type: TAVG % Country: United States % State: KY % Latitude: 37.31670 +/- 0.00005 % Longitude: -82.70000 +/- 0.00005 % Elevation (m): 370.64 +/- 0.15 % # of Months: 59 % % Alternate Names: Missing Station ID - 158535 % % IDs: coop - 158535 % ghcnd - USC00158535 % ncdc - 20008597 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: d74bec39286c1cb055d466de0e0e3072 % Raw Data Hash: 2985e8b873e0024d0ad842a75f6282fa % Adj Data Hash: 419a8a0d91416926876dc0023ae66d46 % % 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 1912 10 NaN NaN NaN NaN NaN NaN 13.674 0.458 1912 11 NaN NaN NaN NaN NaN NaN 6.474 -0.760 1912 12 NaN NaN NaN NaN NaN NaN 2.195 -0.203 1913 1 NaN NaN NaN NaN NaN NaN 4.946 4.635 1913 2 NaN NaN NaN NaN NaN NaN 0.656 -1.283 1913 3 NaN NaN NaN NaN NaN NaN 8.021 0.977 1913 4 NaN NaN NaN NaN NaN NaN 12.190 -0.638 1913 5 NaN NaN NaN NaN NaN NaN 17.491 -0.244 1913 6 NaN NaN NaN NaN NaN NaN 22.020 0.210 1913 7 NaN NaN NaN NaN NaN NaN 25.103 1.202 1913 8 NaN NaN NaN NaN NaN NaN 23.955 0.562 1913 9 NaN NaN NaN NaN NaN NaN 19.749 -0.282 1913 10 14.190 -0.231 0 0 14.190 -0.231 12.830 -0.387 1913 11 10.288 1.849 0 0 10.288 1.849 8.727 1.493 1913 12 4.968 1.364 0 0 4.968 1.364 3.225 0.827 1914 1 5.597 4.081 0 0 5.597 4.081 2.486 2.175 1914 2 2.614 -0.530 0 0 2.614 -0.530 -0.992 -2.932 1914 3 5.779 -2.469 0 0 5.779 -2.469 4.291 -2.752 1914 4 14.058 0.025 0 0 14.058 0.025 12.775 -0.053 1914 5 18.869 -0.070 0 0 18.869 -0.070 17.680 -0.054 1914 6 24.605 1.590 0 0 24.605 1.590 24.200 2.390 1914 7 24.453 -0.653 0 0 24.453 -0.653 24.172 0.271 1914 8 23.534 -1.064 0 0 23.534 -1.064 23.369 -0.023 1914 9 19.500 -1.736 0 0 19.500 -1.736 19.295 -0.735 1914 10 15.853 1.432 0 0 15.853 1.432 14.352 1.136 1914 11 8.582 0.142 0 0 8.582 0.142 7.003 -0.231 1914 12 2.219 -1.384 0 0 2.219 -1.384 0.040 -2.358 1915 1 2.315 0.799 0 0 2.315 0.799 -0.475 -0.785 1915 2 6.243 3.098 0 0 6.243 3.098 3.822 1.882 1915 3 2.922 -5.326 0 0 2.922 -5.326 2.296 -4.747 1915 4 14.628 0.595 0 0 14.628 0.595 14.377 1.549 1915 5 19.039 0.100 0 0 19.039 0.100 17.522 -0.212 1915 6 21.637 -1.378 0 0 21.637 -1.378 21.003 -0.807 1915 7 23.263 -1.843 0 0 23.263 -1.843 23.094 -0.807 1915 8 22.123 -2.475 0 0 22.123 -2.475 21.402 -1.991 1915 9 19.210 -2.026 0 0 19.210 -2.026 20.944 0.913 1915 10 16.565 2.143 0 0 16.565 2.143 14.478 1.261 1915 11 10.253 1.814 0 0 10.253 1.814 8.934 1.700 1915 12 0.909 -2.695 0 0 0.909 -2.695 1.523 -0.876 1916 1 5.255 3.739 0 0 5.255 3.739 4.040 3.729 1916 2 -0.440 -3.585 1 0 NaN NaN 0.549 -1.391 1916 3 3.952 -4.296 0 0 3.952 -4.296 5.468 -1.575 1916 4 9.900 -4.133 0 0 9.900 -4.133 11.917 -0.911 1916 5 16.631 -2.308 0 0 16.631 -2.308 18.653 0.919 1916 6 18.167 -4.848 0 0 18.167 -4.848 19.976 -1.834 1916 7 24.287 -0.819 0 0 24.287 -0.819 24.497 0.596 1916 8 24.489 -0.109 0 0 24.489 -0.109 23.885 0.492 1916 9 20.042 -1.194 0 0 20.042 -1.194 18.749 -1.282 1916 10 15.089 0.667 0 0 15.089 0.667 12.863 -0.353 1916 11 NaN NaN NaN NaN NaN NaN 7.864 0.630 1916 12 5.527 1.924 0 0 5.527 1.924 1.229 -1.170 1917 1 4.823 3.307 0 0 4.823 3.307 1.376 1.065 1917 2 3.045 -0.100 0 0 3.045 -0.100 0.137 -1.802 1917 3 8.540 0.292 0 0 8.540 0.292 6.676 -0.367 1917 4 15.517 1.483 0 0 15.517 1.483 12.806 -0.022 1917 5 NaN NaN NaN NaN NaN NaN 13.797 -3.937 1917 6 21.468 -1.547 1 0 NaN NaN 20.507 -1.303 1917 7 23.681 -1.424 0 0 23.681 -1.424 22.866 -1.035 1917 8 21.490 -3.107 0 0 21.490 -3.107 22.333 -1.060 1917 9 18.945 -2.291 0 0 18.945 -2.291 18.880 -1.150 1917 10 11.871 -2.551 0 0 11.871 -2.551 9.458 -3.759 1917 11 7.643 -0.796 0 0 7.643 -0.796 5.680 -1.554 1917 12 -1.226 -4.830 0 0 -1.226 -4.830 -3.403 -5.802 1918 1 -2.532 -4.048 0 0 -2.532 -4.048 -6.620 -6.931 1918 2 6.839 3.695 0 0 6.839 3.695 2.876 0.936 1918 3 11.377 3.129 0 0 11.377 3.129 9.743 2.700 1918 4 13.363 -0.670 0 0 13.363 -0.670 11.886 -0.943 1918 5 20.612 1.673 0 0 20.612 1.673 19.452 1.718 1918 6 22.166 -0.849 0 0 22.166 -0.849 21.385 -0.425 1918 7 NaN NaN NaN NaN NaN NaN 21.584 -2.316 1918 8 21.596 -3.002 1 0 NaN NaN 25.075 1.682 1918 9 NaN NaN NaN NaN NaN NaN 16.933 -3.097 1918 10 15.971 1.550 0 0 15.971 1.550 15.425 2.209 1918 11 NaN NaN NaN NaN NaN NaN 7.006 -0.229 1918 12 NaN NaN NaN NaN NaN NaN 5.979 3.580 1919 1 -1.259 -2.775 1 0 NaN NaN 1.509 1.198 1919 2 NaN NaN NaN NaN NaN NaN 1.914 -0.026 1919 3 NaN NaN NaN NaN NaN NaN 7.945 0.902 1919 4 11.307 -2.726 1 0 NaN NaN 12.751 -0.077 1919 5 NaN NaN NaN NaN NaN NaN 17.028 -0.706 1919 6 NaN NaN NaN NaN NaN NaN 23.438 1.628 1919 7 NaN NaN NaN NaN NaN NaN 24.733 0.833 1919 8 NaN NaN NaN NaN NaN NaN 22.414 -0.979 1919 9 NaN NaN NaN NaN NaN NaN 20.662 0.631 1919 10 NaN NaN NaN NaN NaN NaN 17.576 4.359 1919 11 NaN NaN NaN NaN NaN NaN 8.215 0.981 1919 12 NaN NaN NaN NaN NaN NaN 0.800 -1.598 1920 1 NaN NaN NaN NaN NaN NaN -0.531 -0.842 1920 2 NaN NaN NaN NaN NaN NaN 0.102 -1.838 1920 3 NaN NaN NaN NaN NaN NaN 6.885 -0.158 1920 4 NaN NaN NaN NaN NaN NaN 11.303 -1.525