% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34718 % Primary Name: CONNERSVILLE 2 W % Record Type: TAVG % Country: United States % State: IN % Latitude: 39.65000 +/- 0.00005 % Longitude: -85.18330 +/- 0.00005 % Elevation (m): 281.03 +/- 0.15 % # of Months: 28 % % Alternate Names: Missing Station ID - 121777 % % IDs: coop - 121777 % ghcnd - USC00121777 % ncdc - 20006260 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 0f6c289f67760df063fa1c457d5605ba % Raw Data Hash: 6261459a5d74779b8d618a92fae2d64c % Adj Data Hash: 8b62b1358b4126afdabbfcbc0761e0fa % % 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 1970 8 NaN NaN NaN NaN NaN NaN 22.864 -0.073 1970 9 NaN NaN NaN NaN NaN NaN 22.000 2.636 1970 10 NaN NaN NaN NaN NaN NaN 13.652 1.106 1970 11 NaN NaN NaN NaN NaN NaN 6.188 0.271 1970 12 NaN NaN NaN NaN NaN NaN 2.212 1.943 1971 1 NaN NaN NaN NaN NaN NaN -4.377 -1.866 1971 2 NaN NaN NaN NaN NaN NaN -1.500 -0.895 1971 3 NaN NaN NaN NaN NaN NaN 3.208 -1.659 1971 4 NaN NaN NaN NaN NaN NaN 11.011 -0.425 1971 5 NaN NaN NaN NaN NaN NaN 14.738 -2.231 1971 6 NaN NaN NaN NaN NaN NaN 23.758 1.967 1971 7 NaN NaN NaN NaN NaN NaN 22.485 -1.295 1971 8 19.934 -1.488 0 0 19.934 -1.488 21.553 -1.385 1971 9 19.147 1.299 0 0 19.147 1.299 21.267 1.904 1971 10 14.665 3.634 0 0 14.665 3.634 16.675 4.130 1971 11 NaN NaN NaN NaN NaN NaN 6.696 0.779 1971 12 NaN NaN NaN NaN NaN NaN 4.689 4.420 1972 1 NaN NaN NaN NaN NaN NaN -2.234 0.277 1972 2 NaN NaN NaN NaN NaN NaN -2.213 -1.608 1972 3 NaN NaN NaN NaN NaN NaN 4.436 -0.430 1972 4 NaN NaN NaN NaN NaN NaN 11.260 -0.175 1972 5 16.547 1.093 0 0 16.547 1.093 17.587 0.618 1972 6 17.832 -2.444 0 0 17.832 -2.444 19.479 -2.312 1972 7 22.226 -0.039 0 0 22.226 -0.039 23.462 -0.318 1972 8 21.010 -0.412 0 0 21.010 -0.412 22.648 -0.290 1972 9 18.982 1.134 0 0 18.982 1.134 20.892 1.529 1972 10 9.377 -1.653 0 0 9.377 -1.653 10.903 -1.643 1972 11 3.495 -0.907 0 0 3.495 -0.907 5.070 -0.848 1972 12 -0.639 0.608 0 0 -0.639 0.608 0.976 0.707 1973 1 -1.732 2.294 0 0 -1.732 2.294 -1.054 1.457 1973 2 -1.709 0.411 0 0 -1.709 0.411 -0.504 0.101 1973 3 7.875 4.523 1 0 NaN NaN 9.641 4.774 1973 4 9.205 -0.715 0 0 9.205 -0.715 10.890 -0.546 1973 5 13.627 -1.826 0 0 13.627 -1.826 14.794 -2.175 1973 6 21.773 1.498 0 0 21.773 1.498 22.915 1.124 1973 7 23.298 1.034 0 0 23.298 1.034 24.062 0.282 1973 8 22.142 0.720 0 0 22.142 0.720 23.170 0.233 1973 9 19.633 1.786 0 0 19.633 1.786 21.194 1.831 1973 10 13.494 2.463 0 0 13.494 2.463 14.917 2.372 1973 11 6.277 1.874 0 0 6.277 1.874 7.881 1.963 1973 12 -1.168 0.079 0 0 -1.168 0.079 0.356 0.087 1974 1 -2.082 1.944 0 0 -2.082 1.944 -0.188 2.323 1974 2 -2.050 0.070 0 0 -2.050 0.070 -0.251 0.354 1974 3 5.266 1.915 0 0 5.266 1.915 7.127 2.261 1974 4 10.270 0.350 0 0 10.270 0.350 12.624 1.189 1974 5 14.995 -0.458 0 0 14.995 -0.458 16.286 -0.683 1974 6 NaN NaN NaN NaN NaN NaN 19.879 -1.912 1974 7 NaN NaN NaN NaN NaN NaN 23.877 0.097 1974 8 NaN NaN NaN NaN NaN NaN 22.704 -0.233 1974 9 NaN NaN NaN NaN NaN NaN 16.902 -2.461 1974 10 NaN NaN NaN NaN NaN NaN 11.655 -0.891 1974 11 NaN NaN NaN NaN NaN NaN 7.107 1.189 1974 12 NaN NaN NaN NaN NaN NaN 1.236 0.968 1975 1 NaN NaN NaN NaN NaN NaN 0.240 2.751 1975 2 NaN NaN NaN NaN NaN NaN 0.476 1.081 1975 3 NaN NaN NaN NaN NaN NaN 3.319 -1.548 1975 4 NaN NaN NaN NaN NaN NaN 9.463 -1.972 1975 5 NaN NaN NaN NaN NaN NaN 18.913 1.944