% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32519 % Primary Name: HARRODSBURG % Record Type: TAVG % Country: United States % State: KY % Latitude: 37.75000 +/- 0.00500 % Longitude: -84.85000 +/- 0.00500 % Elevation (m): 268.40 +/- 26.47 % # of Months: 27 % % Alternate Names: Missing Station ID - 153645 % % IDs: coop - 153645 % ghcnd - USC00153645 % ncdc - 20008563 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: f202f69816be44f2c67ed9d1d51046e7 % Raw Data Hash: 00baa4404b69d8d8c2acb8c22f44cdf6 % Adj Data Hash: aea8428d047b1bc744d28b68def598bd % % 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 -3.074 -3.329 1892 2 NaN NaN NaN NaN NaN NaN 4.394 2.227 1892 3 NaN NaN NaN NaN NaN NaN 4.473 -2.856 1892 4 NaN NaN NaN NaN NaN NaN 12.865 -0.543 1892 5 NaN NaN NaN NaN NaN NaN 17.529 -0.812 1892 6 NaN NaN NaN NaN NaN NaN 24.106 1.359 1892 7 NaN NaN NaN NaN NaN NaN 24.016 -0.744 1892 8 NaN NaN NaN NaN NaN NaN 23.390 -0.721 1892 9 NaN NaN NaN NaN NaN NaN 19.825 -0.823 1892 10 NaN NaN NaN NaN NaN NaN 13.407 -0.395 1892 11 NaN NaN NaN NaN NaN NaN 5.376 -2.194 1892 12 NaN NaN NaN NaN NaN NaN 0.697 -1.911 1893 1 -4.892 -5.588 0 0 -4.892 -5.588 -5.207 -5.463 1893 2 3.532 0.925 0 0 3.532 0.925 1.899 -0.267 1893 3 6.677 -1.091 0 0 6.677 -1.091 6.495 -0.834 1893 4 13.833 -0.015 0 0 13.833 -0.015 14.268 0.859 1893 5 17.151 -1.631 0 0 17.151 -1.631 16.630 -1.711 1893 6 23.074 -0.113 0 0 23.074 -0.113 22.721 -0.026 1893 7 26.774 1.574 0 0 26.774 1.574 25.598 0.838 1893 8 24.498 -0.053 0 0 24.498 -0.053 23.299 -0.813 1893 9 20.889 -0.198 0 0 20.889 -0.198 21.004 0.357 1893 10 13.961 -0.281 0 0 13.961 -0.281 13.181 -0.620 1893 11 6.593 -1.417 0 0 6.593 -1.417 6.307 -1.263 1893 12 3.978 0.930 0 0 3.978 0.930 3.042 0.433 1894 1 4.211 3.516 0 0 4.211 3.516 2.903 2.647 1894 2 2.480 -0.126 0 0 2.480 -0.126 1.136 -1.031 1894 3 10.108 2.339 0 0 10.108 2.339 9.807 2.478 1894 4 12.889 -0.959 0 0 12.889 -0.959 12.986 -0.423 1894 5 17.796 -0.985 0 0 17.796 -0.985 17.160 -1.181 1894 6 23.611 0.424 0 0 23.611 0.424 23.416 0.668 1894 7 24.516 -0.684 0 0 24.516 -0.684 23.967 -0.793 1894 8 24.946 0.395 0 0 24.946 0.395 24.330 0.218 1894 9 21.833 0.746 0 0 21.833 0.746 21.978 1.330 1894 10 14.050 -0.191 0 0 14.050 -0.191 13.549 -0.253 1894 11 5.407 -2.602 0 0 5.407 -2.602 5.747 -1.823 1894 12 3.118 0.070 0 0 3.118 0.070 3.032 0.423 1895 1 NaN NaN NaN NaN NaN NaN -2.342 -2.598 1895 2 NaN NaN NaN NaN NaN NaN -4.706 -6.872 1895 3 8.758 0.989 1 0 NaN NaN 6.359 -0.970 1895 4 13.241 -0.607 0 0 13.241 -0.607 13.836 0.427 1895 5 17.276 -1.505 0 0 17.276 -1.505 17.038 -1.303 1895 6 NaN NaN NaN NaN NaN NaN 23.733 0.985 1895 7 NaN NaN NaN NaN NaN NaN 23.102 -1.658 1895 8 NaN NaN NaN NaN NaN NaN 24.051 -0.060 1895 9 NaN NaN NaN NaN NaN NaN 22.700 2.053 1895 10 NaN NaN NaN NaN NaN NaN 10.163 -3.638 1895 11 NaN NaN NaN NaN NaN NaN 7.309 -0.261 1895 12 NaN NaN NaN NaN NaN NaN 3.221 0.612 1896 1 NaN NaN NaN NaN NaN NaN 0.970 0.715 1896 2 NaN NaN NaN NaN NaN NaN 1.620 -0.547 1896 3 NaN NaN NaN NaN NaN NaN 4.104 -3.225 1896 4 NaN NaN NaN NaN NaN NaN 17.390 3.982 1896 5 NaN NaN NaN NaN NaN NaN 21.205 2.863