% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34780 % Primary Name: CARTERSBURG % Record Type: TAVG % Country: United States % State: IN % Latitude: 39.70000 +/- 0.00005 % Longitude: -86.46670 +/- 0.00005 % Elevation (m): 241.10 +/- 0.05 % # of Months: 63 % % IDs: coop - 121315 % ghcnd - USC00121315 % ncdc - 20006269 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 7e79297840bc25494e9c46b74b6d5ff2 % Raw Data Hash: a9c116e52061f5bef2149459588a59f9 % Adj Data Hash: df07a53f3229f5825e869de3dbab7269 % % 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 1942 10 NaN NaN NaN NaN NaN NaN 13.805 0.655 1942 11 NaN NaN NaN NaN NaN NaN 7.919 1.762 1942 12 NaN NaN NaN NaN NaN NaN -1.716 -1.997 1943 1 NaN NaN NaN NaN NaN NaN -1.512 1.124 1943 2 NaN NaN NaN NaN NaN NaN 1.219 1.505 1943 3 NaN NaN NaN NaN NaN NaN 3.014 -2.196 1943 4 NaN NaN NaN NaN NaN NaN 10.879 -1.210 1943 5 NaN NaN NaN NaN NaN NaN 17.178 -0.376 1943 6 NaN NaN NaN NaN NaN NaN 24.699 2.185 1943 7 NaN NaN NaN NaN NaN NaN 25.194 0.709 1943 8 NaN NaN NaN NaN NaN NaN 24.921 1.466 1943 9 NaN NaN NaN NaN NaN NaN 17.948 -1.881 1943 10 11.889 -0.717 0 0 11.889 -0.717 12.868 -0.282 1943 11 4.000 -1.613 0 0 4.000 -1.613 4.663 -1.494 1943 12 -1.333 -1.071 0 0 -1.333 -1.071 -1.079 -1.360 1944 1 0.667 3.847 0 0 0.667 3.847 0.208 2.844 1944 2 1.333 2.163 0 0 1.333 2.163 1.188 1.474 1944 3 3.556 -1.110 0 0 3.556 -1.110 3.673 -1.536 1944 4 10.667 -0.879 0 0 10.667 -0.879 11.307 -0.782 1944 5 20.333 3.323 0 0 20.333 3.323 20.107 2.553 1944 6 24.000 2.030 0 0 24.000 2.030 24.712 2.199 1944 7 24.111 0.169 0 0 24.111 0.169 24.828 0.342 1944 8 23.333 0.421 0 0 23.333 0.421 23.939 0.484 1944 9 19.000 -0.285 0 0 19.000 -0.285 20.011 0.182 1944 10 12.056 -0.551 0 0 12.056 -0.551 13.296 0.146 1944 11 6.389 0.776 0 0 6.389 0.776 7.263 1.106 1944 12 -3.500 -3.238 0 0 -3.500 -3.238 -2.940 -3.221 1945 1 -4.556 -1.376 0 0 -4.556 -1.376 -4.495 -1.859 1945 2 0.556 1.385 0 0 0.556 1.385 0.245 0.531 1945 3 10.667 6.001 0 0 10.667 6.001 11.067 5.858 1945 4 11.667 0.121 0 0 11.667 0.121 12.712 0.623 1945 5 14.056 -2.955 0 0 14.056 -2.955 14.727 -2.828 1945 6 20.333 -1.637 0 0 20.333 -1.637 20.839 -1.674 1945 7 22.333 -1.608 0 0 22.333 -1.608 23.051 -1.435 1945 8 22.111 -0.801 0 0 22.111 -0.801 22.862 -0.594 1945 9 19.667 0.382 0 0 19.667 0.382 20.614 0.785 1945 10 11.222 -1.384 0 0 11.222 -1.384 12.274 -0.876 1945 11 6.056 0.442 0 0 6.056 0.442 6.883 0.726 1945 12 -4.222 -3.960 0 0 -4.222 -3.960 -3.285 -3.567 1946 1 -1.222 1.958 0 0 -1.222 1.958 -1.389 1.247 1946 2 1.444 2.274 0 0 1.444 2.274 1.565 1.851 1946 3 11.222 6.556 0 0 11.222 6.556 12.040 6.831 1946 4 12.000 0.455 0 0 12.000 0.455 13.481 1.392 1946 5 15.222 -1.788 0 0 15.222 -1.788 15.563 -1.992 1946 6 21.556 -0.414 0 0 21.556 -0.414 22.586 0.072 1946 7 23.944 0.003 0 0 23.944 0.003 24.228 -0.258 1946 8 20.500 -2.412 0 0 20.500 -2.412 20.912 -2.544 1946 9 18.778 -0.507 0 0 18.778 -0.507 19.694 -0.134 1946 10 14.389 1.783 0 0 14.389 1.783 15.415 2.265 1946 11 8.222 2.609 0 0 8.222 2.609 8.640 2.483 1946 12 2.444 2.707 0 0 2.444 2.707 3.188 2.907 1947 1 1.278 4.458 0 0 1.278 4.458 0.621 3.257 1947 2 -4.278 -3.448 0 0 -4.278 -3.448 -4.427 -4.142 1947 3 1.444 -3.221 0 0 1.444 -3.221 1.369 -3.841 1947 4 11.222 -0.323 0 0 11.222 -0.323 12.010 -0.079 1947 5 14.889 -2.122 0 0 14.889 -2.122 15.455 -2.100 1947 6 20.000 -1.970 0 0 20.000 -1.970 21.262 -1.252 1947 7 21.167 -2.775 0 0 21.167 -2.775 22.029 -2.457 1947 8 25.889 2.977 0 0 25.889 2.977 26.862 3.406 1947 9 19.167 -0.118 0 0 19.167 -0.118 20.309 0.480 1947 10 16.000 3.394 0 0 16.000 3.394 17.357 4.206 1947 11 3.389 -2.224 0 0 3.389 -2.224 4.026 -2.131 1947 12 NaN NaN NaN NaN NaN NaN 1.063 0.781 1948 1 -8.528 -5.348 1 0 NaN NaN -5.684 -3.048 1948 2 0.556 1.385 0 0 0.556 1.385 -0.353 -0.067 1948 3 5.778 1.112 0 0 5.778 1.112 5.806 0.596 1948 4 13.056 1.510 0 0 13.056 1.510 14.059 1.970 1948 5 16.056 -0.955 0 0 16.056 -0.955 16.125 -1.429 1948 6 21.333 -0.637 0 0 21.333 -0.637 22.725 0.212 1948 7 23.667 -0.275 0 0 23.667 -0.275 24.180 -0.305 1948 8 22.667 -0.245 0 0 22.667 -0.245 23.203 -0.253 1948 9 19.889 0.604 0 0 19.889 0.604 20.561 0.732 1948 10 10.889 -1.717 0 0 10.889 -1.717 11.769 -1.381 1948 11 7.667 2.053 0 0 7.667 2.053 8.223 2.065 1948 12 1.556 1.818 0 0 1.556 1.818 2.254 1.972 1949 1 1.667 4.847 0 0 1.667 4.847 0.670 3.306 1949 2 NaN NaN NaN NaN NaN NaN 1.541 1.827 1949 3 NaN NaN NaN NaN NaN NaN 5.479 0.269 1949 4 NaN NaN NaN NaN NaN NaN 11.414 -0.675 1949 5 NaN NaN NaN NaN NaN NaN 18.024 0.470 1949 6 NaN NaN NaN NaN NaN NaN 23.676 1.162 1949 7 NaN NaN NaN NaN NaN NaN 26.104 1.619 1949 8 NaN NaN NaN NaN NaN NaN 23.385 -0.071 1949 9 NaN NaN NaN NaN NaN NaN 16.921 -2.908 1949 10 NaN NaN NaN NaN NaN NaN 15.531 2.381 1949 11 NaN NaN NaN NaN NaN NaN 6.941 0.784 1949 12 NaN NaN NaN NaN NaN NaN 2.897 2.616 1950 1 NaN NaN NaN NaN NaN NaN 2.671 5.307