% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32579 % Primary Name: ENSOR % Record Type: TAVG % Country: United States % State: KY % Latitude: 37.80000 +/- 0.00005 % Longitude: -86.98330 +/- 0.00005 % Elevation (m): 131.68 +/- 19.69 % # of Months: 31 % % Alternate Names: Missing Station ID - 152564 % % IDs: coop - 152564 % ghcnd - USC00152564 % ncdc - 20008559 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 3d24b51efb294921e684fda2374f27f2 % Raw Data Hash: 8332708d9888e706522c83d853a235e9 % Adj Data Hash: 3cb2f1bf35a5ca0f2c9cfa2a13d82b65 % % 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 1896 2 NaN NaN NaN NaN NaN NaN 2.293 -0.006 1896 3 NaN NaN NaN NaN NaN NaN 4.540 -2.968 1896 4 NaN NaN NaN NaN NaN NaN 17.837 3.858 1896 5 NaN NaN NaN NaN NaN NaN 21.610 2.598 1896 6 NaN NaN NaN NaN NaN NaN 22.954 -0.735 1896 7 NaN NaN NaN NaN NaN NaN 25.336 -0.282 1896 8 NaN NaN NaN NaN NaN NaN 25.012 0.251 1896 9 NaN NaN NaN NaN NaN NaN 20.045 -1.154 1896 10 NaN NaN NaN NaN NaN NaN 12.542 -1.921 1896 11 NaN NaN NaN NaN NaN NaN 9.181 1.226 1896 12 NaN NaN NaN NaN NaN NaN 4.096 1.452 1897 1 NaN NaN NaN NaN NaN NaN -1.235 -1.341 1897 2 3.733 0.919 1 0 NaN NaN 2.801 0.501 1897 3 9.952 1.929 0 0 9.649 1.627 8.593 1.085 1897 4 13.725 -0.769 0 0 13.423 -1.072 13.135 -0.844 1897 5 16.615 -2.912 0 0 16.312 -3.214 15.873 -3.139 1897 6 23.633 -0.571 0 0 23.331 -0.873 23.303 -0.386 1897 7 26.174 0.041 0 0 25.872 -0.261 25.565 -0.053 1897 8 24.923 -0.353 0 0 24.620 -0.655 24.057 -0.704 1897 9 23.078 1.364 0 0 22.776 1.062 23.055 1.855 1897 10 17.865 2.886 0 0 17.562 2.584 17.166 2.703 1897 11 9.040 0.569 0 0 8.738 0.267 8.379 0.423 1897 12 2.874 -0.285 0 0 2.572 -0.587 2.110 -0.534 1898 1 4.834 4.213 0 0 4.532 3.910 3.119 3.012 1898 2 3.461 0.646 0 0 3.158 0.344 2.467 0.168 1898 3 10.608 2.586 0 0 10.306 2.283 9.646 2.139 1898 4 12.455 -2.039 0 0 12.153 -2.342 11.682 -2.297 1898 5 20.450 0.924 0 0 20.148 0.621 19.375 0.363 1898 6 25.192 0.987 0 0 24.889 0.685 24.840 1.151 1898 7 25.610 -0.523 0 4 25.982 -0.151 25.378 -0.240 1898 8 24.616 -0.660 0 0 24.988 -0.288 24.575 -0.185 1898 9 22.853 1.139 0 0 23.225 1.511 22.973 1.774 1898 10 13.623 -1.355 0 0 13.995 -0.984 13.199 -1.264 1898 11 6.313 -2.157 0 0 6.685 -1.785 6.038 -1.917 1898 12 0.626 -2.533 0 0 0.998 -2.161 0.599 -2.045 1899 1 1.644 1.022 0 0 2.016 1.394 -0.011 -0.117 1899 2 -3.607 -6.422 0 0 -3.235 -6.050 -4.679 -6.978 1899 3 4.613 -3.409 0 0 4.985 -3.037 5.558 -1.949 1899 4 13.730 -0.764 0 0 14.102 -0.392 14.278 0.299 1899 5 20.208 0.682 0 0 20.580 1.054 19.818 0.807 1899 6 24.653 0.449 1 0 NaN NaN 24.595 0.905 1899 7 25.074 -1.059 0 0 25.446 -0.687 24.863 -0.755 1899 8 25.434 0.158 0 0 25.806 0.530 25.726 0.965 1899 9 NaN NaN NaN NaN NaN NaN 20.684 -0.516 1899 10 NaN NaN NaN NaN NaN NaN 16.423 1.960 1899 11 NaN NaN NaN NaN NaN NaN 10.041 2.086 1899 12 NaN NaN NaN NaN NaN NaN 1.021 -1.623 1900 1 NaN NaN NaN NaN NaN NaN 1.797 1.691 1900 2 NaN NaN NaN NaN NaN NaN -1.201 -3.501 1900 3 NaN NaN NaN NaN NaN NaN 5.437 -2.070 1900 4 NaN NaN NaN NaN NaN NaN 13.762 -0.217 1900 5 NaN NaN NaN NaN NaN NaN 19.049 0.038 1900 6 NaN NaN NaN NaN NaN NaN 23.222 -0.467 1900 7 NaN NaN NaN NaN NaN NaN 25.544 -0.074 1900 8 NaN NaN NaN NaN NaN NaN 27.288 2.527