% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36840 % Primary Name: AUBURN % Record Type: TAVG % Country: United States % State: OH % Latitude: 41.38330 +/- 0.00005 % Longitude: -81.30000 +/- 0.00005 % Elevation (m): 365.76 +/- 0.15 % # of Months: 50 % % Alternate Names: Missing Station ID - 330315 % % IDs: coop - 330315 % ghcnd - USC00330315 % ncdc - 12003962 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: aacde897ce1d1932c2dc263bd6828f15 % Raw Data Hash: 94f80e03a5782fe278959fbf08d36046 % Adj Data Hash: cf1fe889a883d4f9756899bef2ee7c41 % % 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 -5.765 -2.161 1892 2 NaN NaN NaN NaN NaN NaN -0.957 1.412 1892 3 NaN NaN NaN NaN NaN NaN -0.028 -2.979 1892 4 NaN NaN NaN NaN NaN NaN 8.297 -1.012 1892 5 NaN NaN NaN NaN NaN NaN 13.824 -1.272 1892 6 NaN NaN NaN NaN NaN NaN 21.847 1.826 1892 7 NaN NaN NaN NaN NaN NaN 21.665 -0.495 1892 8 NaN NaN NaN NaN NaN NaN 21.244 -0.187 1892 9 NaN NaN NaN NaN NaN NaN 17.578 -0.201 1892 10 NaN NaN NaN NaN NaN NaN 10.436 -0.785 1892 11 NaN NaN NaN NaN NaN NaN 3.400 -1.741 1892 12 NaN NaN NaN NaN NaN NaN -3.049 -2.169 1893 1 -9.123 -4.114 0 0 -9.123 -4.114 -8.984 -5.380 1893 2 -3.274 0.500 0 0 -3.274 0.500 -3.504 -1.135 1893 3 1.685 0.138 0 0 1.685 0.138 2.275 -0.676 1893 4 7.796 -0.107 0 0 7.796 -0.107 9.063 -0.246 1893 5 12.133 -1.558 0 0 12.133 -1.558 13.258 -1.838 1893 6 18.944 0.328 0 0 18.944 0.328 20.804 0.782 1893 7 20.179 -0.576 0 0 20.179 -0.576 21.988 -0.172 1893 8 18.674 -1.352 0 0 18.674 -1.352 20.342 -1.088 1893 9 16.333 -0.041 0 0 16.333 -0.041 17.261 -0.518 1893 10 9.839 0.023 0 0 9.839 0.023 11.382 0.161 1893 11 2.741 -0.995 0 0 2.741 -0.995 3.809 -1.332 1893 12 -2.437 -0.153 0 0 -2.437 -0.153 -0.897 -0.017 1894 1 -0.907 4.102 0 0 -0.907 4.102 -0.683 2.921 1894 2 -4.206 -0.432 0 0 -4.206 -0.432 -3.645 -1.276 1894 3 5.251 3.705 0 0 5.251 3.705 6.343 3.392 1894 4 7.389 -0.515 0 0 7.389 -0.515 9.280 -0.029 1894 5 14.104 0.413 0 0 14.104 0.413 14.808 -0.288 1894 6 19.093 0.476 0 0 19.093 0.476 20.539 0.518 1894 7 21.129 0.374 0 0 21.129 0.374 22.457 0.297 1894 8 19.014 -1.011 0 0 19.014 -1.011 20.845 -0.586 1894 9 18.415 2.041 0 0 18.415 2.041 19.525 1.746 1894 10 10.860 1.045 0 0 10.860 1.045 11.445 0.224 1894 11 0.556 -3.180 0 0 0.556 -3.180 2.806 -2.334 1894 12 -0.259 2.026 0 0 -0.259 2.026 -0.114 0.765 1895 1 -6.971 -1.962 0 0 -6.971 -1.962 -6.306 -2.703 1895 2 -9.187 -5.413 0 0 -9.187 -5.413 -8.294 -5.925 1895 3 -1.362 -2.908 0 0 -1.362 -2.908 0.256 -2.695 1895 4 8.963 1.059 0 0 8.963 1.059 9.995 0.686 1895 5 13.544 -0.147 0 0 13.544 -0.147 15.402 0.306 1895 6 19.393 0.777 0 0 19.393 0.777 21.535 1.514 1895 7 18.692 -2.063 0 0 18.692 -2.063 20.303 -1.856 1895 8 19.722 -0.303 0 0 19.722 -0.303 21.559 0.128 1895 9 17.259 0.885 0 0 17.259 0.885 19.478 1.699 1895 10 6.344 -3.471 0 0 6.344 -3.471 7.410 -3.810 1895 11 2.580 -1.155 0 0 2.580 -1.155 5.058 -0.083 1895 12 -0.893 1.391 0 0 -0.893 1.391 -0.124 0.755 1896 1 -3.445 1.564 0 0 -3.445 1.564 -3.185 0.419 1896 2 NaN NaN NaN NaN NaN NaN -2.741 -0.372 1896 3 -2.892 -4.438 0 0 -2.892 -4.438 -1.118 -4.069 1896 4 10.670 2.766 0 0 10.670 2.766 12.454 3.145 1896 5 17.995 4.304 0 0 17.995 4.304 18.836 3.740 1896 6 18.368 -0.248 0 0 18.368 -0.248 19.887 -0.134 1896 7 21.061 0.307 0 0 21.061 0.307 21.869 -0.291 1896 8 19.468 -0.558 0 0 19.468 -0.558 20.928 -0.502 1896 9 14.953 -1.421 0 0 14.953 -1.421 16.672 -1.107 1896 10 3.953 -5.863 1 0 NaN NaN 8.401 -2.820 1896 11 4.578 0.843 0 0 4.578 0.843 7.288 2.148 1896 12 -2.773 -0.488 0 0 -2.773 -0.488 -1.126 -0.246 1897 1 NaN NaN NaN NaN NaN NaN -5.415 -1.811 1897 2 -4.562 -0.789 0 0 -4.562 -0.789 -1.785 0.584 1897 3 1.402 -0.144 0 0 1.402 -0.144 4.470 1.519 1897 4 NaN NaN NaN NaN NaN NaN 8.899 -0.410 1897 5 8.861 -4.830 0 0 8.861 -4.830 12.684 -2.412 1897 6 NaN NaN NaN NaN NaN NaN 18.407 -1.614 1897 7 NaN NaN NaN NaN NaN NaN 23.221 1.061 1897 8 NaN NaN NaN NaN NaN NaN 19.480 -1.950 1897 9 NaN NaN NaN NaN NaN NaN 18.259 0.480 1897 10 NaN NaN NaN NaN NaN NaN 13.112 1.891 1897 11 NaN NaN NaN NaN NaN NaN 5.349 0.209 1897 12 NaN NaN NaN NaN NaN NaN -0.531 0.349 1898 1 NaN NaN NaN NaN NaN NaN -1.304 2.300 1898 2 NaN NaN NaN NaN NaN NaN -2.932 -0.563 1898 3 NaN NaN NaN NaN NaN NaN 6.593 3.642 1898 4 NaN NaN NaN NaN NaN NaN 7.624 -1.685 1898 5 NaN NaN NaN NaN NaN NaN 15.010 -0.086