% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31620 % Primary Name: MATLOCK % Record Type: TAVG % Country: United States % State: KY % Latitude: 36.83330 +/- 0.00005 % Longitude: -86.48330 +/- 0.00005 % Elevation (m): 185.00 +/- 28.17 % # of Months: 20 % % Alternate Names: Missing Station ID - 155184 % % IDs: coop - 155184 % ghcnd - USC00155184 % ncdc - 20008574 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 37d85f0251b8d0f77c60fc473783ee9c % Raw Data Hash: c0c62824f9c2a65d61aec35ef205f29b % Adj Data Hash: fe6c47de66e13d90e15256d8c7ea2e66 % % 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 -1.070 -2.841 1892 2 NaN NaN NaN NaN NaN NaN 5.471 1.976 1892 3 NaN NaN NaN NaN NaN NaN 5.644 -2.579 1892 4 NaN NaN NaN NaN NaN NaN 13.663 -0.251 1892 5 NaN NaN NaN NaN NaN NaN 17.725 -0.685 1892 6 NaN NaN NaN NaN NaN NaN 23.325 0.926 1892 7 NaN NaN NaN NaN NaN NaN 23.369 -0.954 1892 8 NaN NaN NaN NaN NaN NaN 22.922 -0.966 1892 9 NaN NaN NaN NaN NaN NaN 19.266 -1.412 1892 10 NaN NaN NaN NaN NaN NaN 13.620 -0.398 1892 11 NaN NaN NaN NaN NaN NaN 6.447 -1.776 1892 12 NaN NaN NaN NaN NaN NaN 2.148 -1.603 1893 1 -0.645 -3.818 0 0 -0.645 -3.818 -2.579 -4.351 1893 2 4.722 -0.174 1 0 NaN NaN 3.711 0.217 1893 3 9.068 -0.557 0 0 9.068 -0.557 7.199 -1.024 1893 4 17.389 2.074 0 0 17.389 2.074 15.490 1.577 1893 5 18.656 -1.156 0 0 18.656 -1.156 17.040 -1.370 1893 6 23.407 -0.394 0 0 23.407 -0.394 22.162 -0.237 1893 7 26.326 0.602 0 0 26.326 0.602 24.853 0.530 1893 8 24.964 -0.325 0 0 24.964 -0.325 23.006 -0.882 1893 9 NaN NaN NaN NaN NaN NaN 20.300 -0.379 1893 10 12.836 -2.583 1 0 NaN NaN 12.912 -1.106 1893 11 8.630 -0.995 0 0 8.630 -0.995 7.337 -0.886 1893 12 NaN NaN NaN NaN NaN NaN 4.127 0.376 1894 1 NaN NaN NaN NaN NaN NaN 4.026 2.255 1894 2 NaN NaN NaN NaN NaN NaN 2.464 -1.031 1894 3 NaN NaN NaN NaN NaN NaN 10.199 1.976 1894 4 NaN NaN NaN NaN NaN NaN 13.662 -0.251 1894 5 NaN NaN NaN NaN NaN NaN 17.618 -0.793 1894 6 25.426 1.625 0 0 25.426 1.625 22.863 0.464 1894 7 25.747 0.023 0 0 25.747 0.023 22.905 -1.418 1894 8 26.870 1.581 0 0 26.870 1.581 24.015 0.128 1894 9 NaN NaN NaN NaN NaN NaN 21.680 1.001 1894 10 14.954 -0.466 1 0 NaN NaN 13.539 -0.479 1894 11 5.278 -4.347 0 0 5.278 -4.347 6.347 -1.875 1894 12 4.373 -0.780 0 0 4.373 -0.780 3.904 0.153 1895 1 -1.254 -4.428 0 0 -1.254 -4.428 -0.359 -2.130 1895 2 -3.333 -8.230 1 0 NaN NaN -3.196 -6.691 1895 3 8.352 -1.272 0 0 8.352 -1.272 7.377 -0.846 1895 4 NaN NaN NaN NaN NaN NaN 14.039 0.126 1895 5 NaN NaN NaN NaN NaN NaN 16.904 -1.506 1895 6 NaN NaN NaN NaN NaN NaN 23.389 0.989 1895 7 25.379 -0.346 1 0 NaN NaN 23.066 -1.257 1895 8 NaN NaN NaN NaN NaN NaN 23.572 -0.316 1895 9 NaN NaN NaN NaN NaN NaN 22.664 1.985 1895 10 NaN NaN NaN NaN NaN NaN 10.747 -3.271 1895 11 NaN NaN NaN NaN NaN NaN 8.480 0.257 1895 12 NaN NaN NaN NaN NaN NaN 4.024 0.273 1896 1 NaN NaN NaN NaN NaN NaN 2.034 0.263 1896 2 NaN NaN NaN NaN NaN NaN 2.929 -0.566 1896 3 NaN NaN NaN NaN NaN NaN 5.821 -2.401 1896 4 NaN NaN NaN NaN NaN NaN 17.084 3.171 1896 5 NaN NaN NaN NaN NaN NaN 21.135 2.725 1896 6 NaN NaN NaN NaN NaN NaN 22.118 -0.281 1896 7 NaN NaN NaN NaN NaN NaN 24.099 -0.223