% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35689 % Primary Name: HECTOR % Record Type: TAVG % Country: United States % State: IN % Latitude: 40.46670 +/- 0.00005 % Longitude: -84.85000 +/- 0.00005 % Elevation (m): 274.76 +/- 11.56 % # of Months: 91 % % Alternate Names: Missing Station ID - 123881 % % IDs: coop - 123881 % ghcnd - USC00123881 % ncdc - 20006358 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: ef7f32cc46f444cf0ad04f0820012509 % Raw Data Hash: c1ecbe68d46f5412e068bbd094e77b66 % Adj Data Hash: 6de9a488a1f9639d26f726ff55a7aa55 % % 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 12 NaN NaN NaN NaN NaN NaN -0.714 0.912 1897 1 NaN NaN NaN NaN NaN NaN -6.318 -1.650 1897 2 NaN NaN NaN NaN NaN NaN -2.281 0.621 1897 3 NaN NaN NaN NaN NaN NaN 3.283 0.593 1897 4 NaN NaN NaN NaN NaN NaN 8.546 -1.059 1897 5 NaN NaN NaN NaN NaN NaN 13.219 -2.474 1897 6 NaN NaN NaN NaN NaN NaN 19.811 -1.142 1897 7 NaN NaN NaN NaN NaN NaN 24.185 1.232 1897 8 NaN NaN NaN NaN NaN NaN 19.918 -1.957 1897 9 NaN NaN NaN NaN NaN NaN 19.632 1.459 1897 10 NaN NaN NaN NaN NaN NaN 13.908 2.361 1897 11 NaN NaN NaN NaN NaN NaN 4.541 -0.102 1897 12 -1.278 -0.626 0 0 -1.278 -0.626 -2.403 -0.777 1898 1 -0.667 3.028 0 0 -0.667 3.028 -2.201 2.467 1898 2 -2.167 -0.239 0 0 -2.167 -0.239 -2.743 0.159 1898 3 5.778 2.113 0 0 5.778 2.113 5.697 3.006 1898 4 8.500 -2.079 0 0 8.500 -2.079 8.264 -1.342 1898 5 15.778 -0.889 0 0 15.778 -0.889 15.299 -0.394 1898 6 NaN NaN NaN NaN NaN NaN 21.654 0.700 1898 7 24.889 0.962 0 0 24.889 0.962 23.557 0.604 1898 8 23.000 0.150 0 0 23.000 0.150 21.889 0.013 1898 9 19.667 0.519 0 0 19.667 0.519 19.844 1.670 1898 10 13.333 0.812 0 0 13.333 0.812 11.426 -0.121 1898 11 2.444 -3.172 0 0 2.444 -3.172 2.561 -2.082 1898 12 -3.000 -2.348 0 0 -3.000 -2.348 -3.362 -1.736 1899 1 -1.556 2.139 0 0 -1.556 2.139 -4.494 0.175 1899 2 -4.722 -2.794 0 0 -4.722 -2.794 -7.233 -4.331 1899 3 1.833 -1.831 0 0 1.833 -1.831 0.223 -2.467 1899 4 12.167 1.587 0 0 12.167 1.587 11.566 1.961 1899 5 17.833 1.167 0 0 17.833 1.167 16.469 0.776 1899 6 22.667 0.739 0 0 22.667 0.739 22.064 1.110 1899 7 23.722 -0.204 0 0 23.722 -0.204 22.652 -0.300 1899 8 24.333 1.484 0 0 24.333 1.484 22.826 0.950 1899 9 19.222 0.075 0 0 19.222 0.075 17.408 -0.765 1899 10 15.000 2.479 0 0 15.000 2.479 14.015 2.468 1899 11 6.778 1.161 0 0 6.778 1.161 6.065 1.423 1899 12 -1.000 -0.348 0 0 -1.000 -0.348 -2.419 -0.794 1900 1 -0.556 3.139 0 0 -0.556 3.139 -2.270 2.399 1900 2 -4.111 -2.183 0 0 -4.111 -2.183 -5.729 -2.827 1900 3 0.556 -3.109 0 0 0.556 -3.109 -1.250 -3.941 1900 4 10.111 -0.468 0 0 10.111 -0.468 9.873 0.268 1900 5 18.667 2.000 0 0 18.667 2.000 16.867 1.175 1900 6 20.889 -1.038 0 0 20.889 -1.038 20.368 -0.585 1900 7 23.444 -0.482 0 0 23.444 -0.482 22.534 -0.418 1900 8 25.111 2.262 0 0 25.111 2.262 24.370 2.494 1900 9 20.333 1.186 0 0 20.333 1.186 20.090 1.916 1900 10 16.000 3.479 0 0 16.000 3.479 15.468 3.921 1900 11 4.889 -0.728 0 0 4.889 -0.728 4.430 -0.213 1900 12 -0.111 0.541 0 0 -0.111 0.541 -1.606 0.020 1901 1 -1.444 2.251 0 0 -1.444 2.251 -3.773 0.896 1901 2 -6.000 -4.072 0 0 -6.000 -4.072 -8.629 -5.728 1901 3 3.222 -0.442 0 0 3.222 -0.442 2.162 -0.529 1901 4 8.444 -2.135 0 0 8.444 -2.135 8.393 -1.212 1901 5 15.167 -1.500 0 0 15.167 -1.500 14.137 -1.556 1901 6 22.278 0.350 0 0 22.278 0.350 21.794 0.840 1901 7 26.389 2.462 0 0 26.389 2.462 25.793 2.840 1901 8 22.556 -0.294 0 0 22.556 -0.294 22.374 0.498 1901 9 20.111 0.964 0 0 20.111 0.964 18.283 0.110 1901 10 12.778 0.257 0 0 12.778 0.257 12.202 0.655 1901 11 2.667 -2.950 0 0 2.667 -2.950 2.966 -1.677 1901 12 -3.500 -2.848 0 0 -3.500 -2.848 -4.333 -2.707 1902 1 -2.556 1.139 0 0 -2.556 1.139 -4.400 0.268 1902 2 -6.444 -4.516 0 0 -6.444 -4.516 -7.435 -4.533 1902 3 5.889 2.224 0 0 5.889 2.224 4.759 2.068 1902 4 10.444 -0.135 0 0 10.444 -0.135 9.012 -0.593 1902 5 18.889 2.222 0 0 18.889 2.222 16.421 0.728 1902 6 20.111 -1.816 0 0 20.111 -1.816 19.067 -1.887 1902 7 24.056 0.129 0 0 24.056 0.129 23.106 0.153 1902 8 20.667 -2.183 0 0 20.667 -2.183 19.943 -1.933 1902 9 16.222 -2.925 0 0 16.222 -2.925 16.768 -1.406 1902 10 13.000 0.479 0 0 13.000 0.479 12.279 0.731 1902 11 9.056 3.439 0 0 9.056 3.439 8.803 4.161 1902 12 -2.889 -2.237 0 0 -2.889 -2.237 -3.496 -1.870 1903 1 -4.444 -0.749 0 0 -4.444 -0.749 -5.210 -0.541 1903 2 -3.333 -1.405 0 0 -3.333 -1.405 -3.986 -1.085 1903 3 6.778 3.113 0 0 6.778 3.113 6.404 3.713 1903 4 8.667 -1.913 0 0 8.667 -1.913 9.481 -0.124 1903 5 17.556 0.889 0 0 17.556 0.889 16.931 1.238 1903 6 18.222 -3.705 0 0 18.222 -3.705 17.726 -3.227 1903 7 23.111 -0.815 0 0 23.111 -0.815 22.343 -0.609 1903 8 21.778 -1.072 0 0 21.778 -1.072 20.489 -1.387 1903 9 17.333 -1.814 0 0 17.333 -1.814 18.173 -0.001 1903 10 10.833 -1.688 0 0 10.833 -1.688 11.805 0.258 1903 11 1.444 -4.172 0 0 1.444 -4.172 2.602 -2.040 1903 12 -6.000 -5.348 0 0 -6.000 -5.348 -6.274 -4.648 1904 1 -8.000 -4.305 0 0 -8.000 -4.305 -9.163 -4.495 1904 2 -6.222 -4.294 0 0 -6.222 -4.294 -7.959 -5.057 1904 3 3.000 -0.664 0 0 3.000 -0.664 2.293 -0.398 1904 4 7.000 -3.579 0 0 7.000 -3.579 6.563 -3.042 1904 5 16.111 -0.555 0 0 16.111 -0.555 15.010 -0.683 1904 6 20.167 -1.761 0 0 20.167 -1.761 19.682 -1.272 1904 7 23.889 -0.038 0 0 23.889 -0.038 21.416 -1.537 1904 8 21.889 -0.961 0 0 21.889 -0.961 19.713 -2.163 1904 9 19.667 0.519 0 0 19.667 0.519 18.285 0.111 1904 10 10.889 -1.632 0 0 10.889 -1.632 10.797 -0.750 1904 11 4.611 -1.005 0 0 4.611 -1.005 4.766 0.123 1904 12 -3.556 -2.904 0 0 -3.556 -2.904 -4.136 -2.510 1905 1 -5.778 -2.083 0 0 -5.778 -2.083 -7.491 -2.822 1905 2 -6.722 -4.794 0 0 -6.722 -4.794 -9.022 -6.121 1905 3 6.833 3.169 0 0 6.833 3.169 4.945 2.254 1905 4 11.333 0.754 0 0 11.333 0.754 8.943 -0.663 1905 5 17.000 0.333 0 0 17.000 0.333 15.178 -0.515 1905 6 NaN NaN NaN NaN NaN NaN 20.660 -0.294 1905 7 NaN NaN NaN NaN NaN NaN 22.202 -0.750 1905 8 25.184 2.335 0 0 25.184 2.335 21.987 0.111 1905 9 19.889 0.741 0 0 19.889 0.741 18.806 0.633 1905 10 NaN NaN NaN NaN NaN NaN 11.146 -0.401 1905 11 NaN NaN NaN NaN NaN NaN 3.843 -0.800 1905 12 NaN NaN NaN NaN NaN NaN -1.100 0.526 1906 1 NaN NaN NaN NaN NaN NaN -0.163 4.506 1906 2 NaN NaN NaN NaN NaN NaN -4.258 -1.356 1906 3 NaN NaN NaN NaN NaN NaN -1.830 -4.521 1906 4 NaN NaN NaN NaN NaN NaN 10.817 1.211 1906 5 NaN NaN NaN NaN NaN NaN 16.278 0.585 1906 6 NaN NaN NaN NaN NaN NaN 20.573 -0.381 1906 7 NaN NaN NaN NaN NaN NaN 21.846 -1.106 1906 8 NaN NaN NaN NaN NaN NaN 23.138 1.262 1906 9 NaN NaN NaN NaN NaN NaN 20.372 2.198