% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 173088 % Primary Name: EVANSVILLE FORT COURT STN % Record Type: TAVG % Country: United States % State: IN % Latitude: 37.96670 +/- 0.00005 % Longitude: -87.58330 +/- 0.00005 % Elevation (m): 100.60 +/- 0.05 % # of Months: 38 % % Alternate Names: EVANSVILLE FT COUR % EVANSVILLE FT CT STN % Missing Station ID - 122733 % % IDs: coop - 122733 % ghcnd - USC00122733 % ncdc - 20006097 % nws - EVVI3 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 4d47f43468ce5e6070491b88821befe8 % Raw Data Hash: becdb6250743d3cc87acd639737eef9b % Adj Data Hash: b4f067e07cec7d516049a11bc69695aa % % 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 1893 8 NaN NaN NaN NaN NaN NaN 23.524 -1.237 1893 9 NaN NaN NaN NaN NaN NaN 21.437 0.238 1893 10 NaN NaN NaN NaN NaN NaN 13.337 -1.126 1893 11 NaN NaN NaN NaN NaN NaN 6.549 -1.406 1893 12 NaN NaN NaN NaN NaN NaN 3.114 0.470 1894 1 NaN NaN NaN NaN NaN NaN 2.435 2.329 1894 2 NaN NaN NaN NaN NaN NaN 0.631 -1.668 1894 3 NaN NaN NaN NaN NaN NaN 9.943 2.435 1894 4 NaN NaN NaN NaN NaN NaN 13.809 -0.170 1894 5 NaN NaN NaN NaN NaN NaN 17.793 -1.219 1894 6 NaN NaN NaN NaN NaN NaN 24.660 0.970 1894 7 NaN NaN NaN NaN NaN NaN 24.809 -0.809 1894 8 25.482 0.568 0 0 25.482 0.568 24.819 0.058 1894 9 22.658 1.306 0 0 22.658 1.306 21.959 0.759 1894 10 14.615 -0.002 0 0 14.615 -0.002 14.035 -0.428 1894 11 5.475 -2.634 0 0 5.475 -2.634 5.823 -2.132 1894 12 3.185 0.388 0 0 3.185 0.388 3.514 0.870 1895 1 -3.632 -3.892 0 0 -3.632 -3.892 -2.897 -3.003 1895 2 -4.212 -6.665 0 0 -4.212 -6.665 -4.456 -6.755 1895 3 6.573 -1.087 0 0 6.573 -1.087 6.354 -1.153 1895 4 14.613 0.481 0 0 14.613 0.481 14.565 0.586 1895 5 19.258 0.093 0 0 19.258 0.093 18.045 -0.966 1895 6 24.638 0.796 0 0 24.638 0.796 24.618 0.929 1895 7 24.329 -1.442 0 0 24.329 -1.442 23.700 -1.918 1895 8 24.976 0.062 0 0 24.976 0.062 24.394 -0.367 1895 9 23.105 1.752 0 0 23.105 1.752 22.898 1.699 1895 10 10.343 -4.273 0 0 10.343 -4.273 10.648 -3.815 1895 11 6.747 -1.362 0 0 6.747 -1.362 7.098 -0.858 1895 12 2.716 -0.081 0 0 2.716 -0.081 3.163 0.519 1896 1 1.029 0.769 0 0 1.029 0.769 0.824 0.718 1896 2 NaN NaN NaN NaN NaN NaN 2.293 -0.006 1896 3 4.588 -3.073 0 0 4.588 -3.073 4.540 -2.968 1896 4 18.027 3.894 0 0 18.027 3.894 17.837 3.858 1896 5 22.010 2.845 0 0 22.010 2.845 21.610 2.598 1896 6 23.605 -0.238 1 0 NaN NaN 22.954 -0.735 1896 7 26.115 0.343 0 0 26.115 0.343 25.336 -0.282 1896 8 25.344 0.430 0 0 25.344 0.430 25.012 0.251 1896 9 20.055 -1.298 0 0 20.055 -1.298 20.045 -1.154 1896 10 12.595 -2.021 0 0 12.595 -2.021 12.542 -1.921 1896 11 8.400 0.291 0 0 8.400 0.291 9.181 1.226 1896 12 3.945 1.148 0 0 3.945 1.148 4.096 1.452 1897 1 -0.957 -1.216 0 0 -0.957 -1.216 -1.235 -1.341 1897 2 2.763 0.310 0 0 2.763 0.310 2.801 0.501 1897 3 8.584 0.924 0 0 8.584 0.924 8.593 1.085 1897 4 12.537 -1.596 0 0 12.537 -1.596 13.135 -0.844 1897 5 16.828 -2.337 0 0 16.828 -2.337 15.873 -3.139 1897 6 23.981 0.139 0 0 23.981 0.139 23.303 -0.386 1897 7 26.075 0.304 0 0 26.075 0.304 25.565 -0.053 1897 8 24.409 -0.505 0 0 24.409 -0.505 24.057 -0.704 1897 9 22.741 1.388 0 0 22.741 1.388 23.055 1.855 1897 10 17.348 2.731 0 0 17.348 2.731 17.166 2.703 1897 11 NaN NaN NaN NaN NaN NaN 8.379 0.423 1897 12 NaN NaN NaN NaN NaN NaN 2.110 -0.534 1898 1 NaN NaN NaN NaN NaN NaN 3.119 3.012 1898 2 NaN NaN NaN NaN NaN NaN 2.467 0.168 1898 3 NaN NaN NaN NaN NaN NaN 9.646 2.139 1898 4 NaN NaN NaN NaN NaN NaN 11.682 -2.297 1898 5 NaN NaN NaN NaN NaN NaN 19.375 0.363 1898 6 NaN NaN NaN NaN NaN NaN 24.840 1.151 1898 7 NaN NaN NaN NaN NaN NaN 25.378 -0.240 1898 8 NaN NaN NaN NaN NaN NaN 24.575 -0.185 1898 9 NaN NaN NaN NaN NaN NaN 22.973 1.774 1898 10 NaN NaN NaN NaN NaN NaN 13.199 -1.264