% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31851 % Primary Name: GREENCASTLE % Record Type: TAVG % Country: United States % State: KY % Latitude: 37.08330 +/- 0.00005 % Longitude: -86.50000 +/- 0.00005 % Elevation (m): 182.20 +/- 72.62 % # of Months: 34 % % Alternate Names: Missing Station ID - 153404 % % IDs: coop - 153404 % ghcnd - USC00153404 % ncdc - 20008561 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 3981343103573dde8956d39a7389dd59 % Raw Data Hash: 439ade34adf91a95edba2a8c1f2016b1 % Adj Data Hash: 8783ad334c1697f148320b8854ff171e % % 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 1932 6 NaN NaN NaN NaN NaN NaN 24.602 0.912 1932 7 NaN NaN NaN NaN NaN NaN 26.427 0.809 1932 8 NaN NaN NaN NaN NaN NaN 24.755 -0.006 1932 9 NaN NaN NaN NaN NaN NaN 20.961 -0.239 1932 10 NaN NaN NaN NaN NaN NaN 13.690 -0.773 1932 11 NaN NaN NaN NaN NaN NaN 5.982 -1.973 1932 12 NaN NaN NaN NaN NaN NaN 2.262 -0.382 1933 1 NaN NaN NaN NaN NaN NaN 5.463 5.357 1933 2 NaN NaN NaN NaN NaN NaN 1.676 -0.624 1933 3 NaN NaN NaN NaN NaN NaN 7.108 -0.399 1933 4 NaN NaN NaN NaN NaN NaN 13.486 -0.494 1933 5 NaN NaN NaN NaN NaN NaN 20.106 1.095 1933 6 24.918 1.403 0 0 24.918 1.403 25.795 2.105 1933 7 24.957 -0.487 0 0 24.957 -0.487 25.762 0.144 1933 8 23.482 -1.104 0 0 23.482 -1.104 23.949 -0.811 1933 9 22.964 1.940 0 0 22.964 1.940 24.587 3.388 1933 10 13.613 -0.675 0 0 13.613 -0.675 14.058 -0.405 1933 11 6.864 -0.917 1 0 NaN NaN 7.635 -0.321 1933 12 NaN NaN NaN NaN NaN NaN 5.890 3.246 1934 1 4.352 4.421 0 0 4.352 4.421 3.131 3.025 1934 2 -0.598 -2.723 1 0 NaN NaN -0.917 -3.216 1934 3 NaN NaN NaN NaN NaN NaN 5.778 -1.729 1934 4 13.886 0.081 0 0 13.886 0.081 14.054 0.074 1934 5 19.460 0.623 0 0 19.460 0.623 19.986 0.975 1934 6 25.843 2.329 0 0 25.843 2.329 26.258 2.568 1934 7 27.595 2.152 0 0 27.595 2.152 27.681 2.063 1934 8 25.406 0.821 0 0 25.406 0.821 24.960 0.199 1934 9 20.708 -0.316 0 0 20.708 -0.316 20.476 -0.724 1934 10 14.698 0.410 0 0 14.698 0.410 15.775 1.312 1934 11 9.607 1.826 0 0 9.607 1.826 10.350 2.395 1934 12 2.323 -0.146 0 0 2.323 -0.146 1.851 -0.793 1935 1 2.877 2.946 0 0 2.877 2.946 1.927 1.821 1935 2 4.273 2.149 0 0 4.273 2.149 3.666 1.367 1935 3 11.034 3.702 0 0 11.034 3.702 11.748 4.241 1935 4 12.847 -0.958 0 0 12.847 -0.958 12.818 -1.162 1935 5 17.551 -1.285 0 0 17.551 -1.285 17.022 -1.990 1935 6 21.585 -1.930 0 0 21.585 -1.930 21.560 -2.130 1935 7 NaN NaN NaN NaN NaN NaN 26.396 0.778 1935 8 25.826 1.240 0 0 25.826 1.240 25.280 0.519 1935 9 NaN NaN NaN NaN NaN NaN 20.875 -0.325 1935 10 14.832 0.544 0 0 14.832 0.544 15.360 0.897 1935 11 8.232 0.451 1 0 NaN NaN 7.937 -0.019 1935 12 -0.778 -3.247 1 0 NaN NaN -1.454 -4.098 1936 1 -0.486 -0.417 1 0 NaN NaN -2.967 -3.073 1936 2 NaN NaN NaN NaN NaN NaN -2.025 -4.324 1936 3 9.773 2.440 0 0 9.773 2.440 9.917 2.409 1936 4 11.063 -2.741 0 0 11.063 -2.741 11.517 -2.462 1936 5 20.515 1.678 0 0 20.515 1.678 20.333 1.322 1936 6 24.470 0.955 0 0 24.470 0.955 24.724 1.035 1936 7 28.076 2.633 0 0 28.076 2.633 28.653 3.035 1936 8 27.648 3.063 0 0 27.648 3.063 28.056 3.295 1936 9 NaN NaN NaN NaN NaN NaN 23.947 2.748 1936 10 NaN NaN NaN NaN NaN NaN 14.476 0.013 1936 11 NaN NaN NaN NaN NaN NaN 6.014 -1.941 1936 12 NaN NaN NaN NaN NaN NaN 4.450 1.806 1937 1 NaN NaN NaN NaN NaN NaN 3.222 3.116 1937 2 NaN NaN NaN NaN NaN NaN 1.917 -0.382 1937 3 NaN NaN NaN NaN NaN NaN 5.333 -2.174 1937 4 NaN NaN NaN NaN NaN NaN 13.533 -0.447 1937 5 NaN NaN NaN NaN NaN NaN 18.822 -0.190 1937 6 NaN NaN NaN NaN NaN NaN 24.018 0.328 1937 7 NaN NaN NaN NaN NaN NaN 24.481 -1.137 1937 8 NaN NaN NaN NaN NaN NaN 26.047 1.287