% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33616 % Primary Name: VALLONIA NURSERY % Record Type: TAVG % Country: United States % State: IN % Latitude: 38.80000 +/- 0.00005 % Longitude: -86.06670 +/- 0.00005 % Elevation (m): 200.04 +/- 79.83 % # of Months: 94 % % Alternate Names: Missing Station ID - 128989 % % IDs: coop - 128989 % ghcnd - USC00128989 % ncdc - 20006170 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 9a9d6d27551442e1b616250fe0e79bd8 % Raw Data Hash: f08326eae459db0ec7b33292133f8dda % Adj Data Hash: f08326eae459db0ec7b33292133f8dda % % 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 1935 8 NaN NaN NaN NaN NaN NaN 23.387 0.450 1935 9 NaN NaN NaN NaN NaN NaN 18.883 -0.481 1935 10 NaN NaN NaN NaN NaN NaN 12.897 0.351 1935 11 NaN NaN NaN NaN NaN NaN 6.029 0.111 1935 12 NaN NaN NaN NaN NaN NaN -3.870 -4.138 1936 1 NaN NaN NaN NaN NaN NaN -5.913 -3.403 1936 2 NaN NaN NaN NaN NaN NaN -4.972 -4.367 1936 3 NaN NaN NaN NaN NaN NaN 7.044 2.177 1936 4 NaN NaN NaN NaN NaN NaN 8.827 -2.608 1936 5 NaN NaN NaN NaN NaN NaN 18.131 1.162 1936 6 NaN NaN NaN NaN NaN NaN 22.239 0.447 1936 7 NaN NaN NaN NaN NaN NaN 26.759 2.979 1936 8 26.667 2.920 0 0 26.667 2.920 26.083 3.146 1936 9 22.000 1.827 0 0 22.000 1.827 21.628 2.265 1936 10 13.111 -0.244 0 0 13.111 -0.244 12.414 -0.132 1936 11 3.556 -3.172 0 0 3.556 -3.172 3.618 -2.300 1936 12 2.111 1.033 0 0 2.111 1.033 1.909 1.640 1937 1 2.889 4.590 0 0 2.889 4.590 1.405 3.916 1937 2 0.111 -0.094 0 0 0.111 -0.094 -0.783 -0.178 1937 3 3.000 -2.676 0 0 3.000 -2.676 2.515 -2.352 1937 4 11.333 -0.912 0 0 11.333 -0.912 11.054 -0.382 1937 5 17.444 -0.334 0 0 17.444 -0.334 16.289 -0.680 1937 6 22.222 -0.379 0 0 22.222 -0.379 21.508 -0.283 1937 7 22.778 -1.812 0 0 22.778 -1.812 22.884 -0.896 1937 8 24.333 0.586 0 0 24.333 0.586 23.993 1.056 1937 9 17.833 -2.340 0 0 17.833 -2.340 18.137 -1.226 1937 10 12.222 -1.133 0 0 12.222 -1.133 11.200 -1.345 1937 11 4.444 -2.283 0 0 4.444 -2.283 4.247 -1.671 1937 12 -0.667 -1.745 0 0 -0.667 -1.745 -1.148 -1.417 1938 1 -0.278 1.423 0 0 -0.278 1.423 -1.617 0.894 1938 2 5.889 5.684 0 0 5.889 5.684 3.602 4.207 1938 3 9.667 3.990 0 0 9.667 3.990 8.415 3.549 1938 4 13.889 1.644 0 0 13.889 1.644 12.723 1.288 1938 5 17.000 -0.779 0 0 17.000 -0.779 16.662 -0.307 1938 6 NaN NaN NaN NaN NaN NaN 20.756 -1.035 1938 7 23.611 -0.978 0 0 23.611 -0.978 23.579 -0.201 1938 8 23.778 0.031 0 0 23.778 0.031 23.783 0.846 1938 9 20.444 0.272 0 0 20.444 0.272 20.132 0.769 1938 10 13.778 0.422 0 0 13.778 0.422 13.841 1.295 1938 11 7.056 0.328 0 0 7.056 0.328 7.348 1.430 1938 12 2.111 1.033 0 0 2.111 1.033 0.878 0.609 1939 1 3.222 4.923 0 0 3.222 4.923 0.808 3.319 1939 2 1.111 0.906 0 0 1.111 0.906 -0.117 0.488 1939 3 6.778 1.101 0 0 6.778 1.101 6.012 1.145 1939 4 9.889 -2.356 0 0 9.889 -2.356 9.410 -2.026 1939 5 18.389 0.610 0 0 18.389 0.610 17.784 0.815 1939 6 23.333 0.732 0 0 23.333 0.732 22.919 1.128 1939 7 24.000 -0.590 0 0 24.000 -0.590 23.257 -0.523 1939 8 23.389 -0.358 0 0 23.389 -0.358 22.745 -0.193 1939 9 22.778 2.605 0 0 22.778 2.605 22.456 3.093 1939 10 15.111 1.756 0 0 15.111 1.756 13.875 1.330 1939 11 5.167 -1.561 0 0 5.167 -1.561 4.745 -1.173 1939 12 2.889 1.811 0 0 2.889 1.811 1.819 1.551 1940 1 -8.056 -6.355 0 0 -8.056 -6.355 -9.618 -7.108 1940 2 1.000 0.795 0 0 1.000 0.795 -1.016 -0.411 1940 3 5.333 -0.343 0 0 5.333 -0.343 3.358 -1.509 1940 4 10.833 -1.412 0 0 10.833 -1.412 9.481 -1.955 1940 5 15.667 -2.112 0 0 15.667 -2.112 14.562 -2.407 1940 6 22.444 -0.156 0 0 22.444 -0.156 21.962 0.171 1940 7 24.333 -0.256 0 0 24.333 -0.256 23.668 -0.111 1940 8 24.444 0.698 0 0 24.444 0.698 23.770 0.833 1940 9 18.222 -1.951 0 0 18.222 -1.951 18.356 -1.007 1940 10 15.333 1.978 0 0 15.333 1.978 14.469 1.923 1940 11 6.222 -0.505 0 0 6.222 -0.505 5.457 -0.461 1940 12 4.444 3.366 0 0 4.444 3.366 3.444 3.175 1941 1 0.722 2.423 0 0 0.722 2.423 -1.431 1.080 1941 2 -0.889 -1.094 0 0 -0.889 -1.094 -2.851 -2.246 1941 3 3.556 -2.121 0 0 3.556 -2.121 1.884 -2.983 1941 4 14.333 2.088 0 0 14.333 2.088 14.039 2.604 1941 5 19.000 1.221 0 0 19.000 1.221 18.148 1.179 1941 6 22.556 -0.045 0 0 22.556 -0.045 22.100 0.309 1941 7 24.944 0.355 0 0 24.944 0.355 24.182 0.402 1941 8 24.222 0.475 0 0 24.222 0.475 23.235 0.298 1941 9 21.667 1.494 0 0 21.667 1.494 21.547 2.184 1941 10 16.278 2.922 0 0 16.278 2.922 15.203 2.657 1941 11 7.111 0.384 0 0 7.111 0.384 6.717 0.799 1941 12 4.000 2.922 0 0 4.000 2.922 3.258 2.989 1942 1 -1.222 0.479 0 0 -1.222 0.479 -2.470 0.040 1942 2 -0.667 -0.872 0 0 -0.667 -0.872 -2.620 -2.016 1942 3 7.778 2.101 0 0 7.778 2.101 6.478 1.611 1942 4 14.000 1.755 0 0 14.000 1.755 13.374 1.939 1942 5 17.667 -0.112 0 0 17.667 -0.112 17.105 0.136 1942 6 22.500 -0.101 0 0 22.500 -0.101 22.334 0.543 1942 7 24.333 -0.256 0 0 24.333 -0.256 24.134 0.354 1942 8 22.833 -0.914 0 0 22.833 -0.914 22.358 -0.579 1942 9 18.778 -1.395 0 0 18.778 -1.395 18.861 -0.502 1942 10 13.778 0.422 0 0 13.778 0.422 13.094 0.549 1942 11 8.167 1.439 0 0 8.167 1.439 7.561 1.643 1942 12 -0.556 -1.634 0 0 -0.556 -1.634 -1.664 -1.932 1943 1 0.889 2.590 0 0 0.889 2.590 -0.982 1.529 1943 2 2.222 2.017 0 0 2.222 2.017 0.285 0.889 1943 3 4.222 -1.454 0 0 4.222 -1.454 2.977 -1.889 1943 4 10.889 -1.356 0 0 10.889 -1.356 9.591 -1.844 1943 5 18.056 0.277 0 0 18.056 0.277 16.909 -0.060 1943 6 23.889 1.288 0 0 23.889 1.288 24.157 2.366 1943 7 24.556 -0.034 0 0 24.556 -0.034 24.138 0.358 1943 8 24.278 0.531 0 0 24.278 0.531 23.693 0.756 1943 9 17.500 -2.673 0 0 17.500 -2.673 17.782 -1.581 1943 10 12.778 -0.578 0 0 12.778 -0.578 11.954 -0.591 1943 11 5.444 -1.283 0 0 5.444 -1.283 4.698 -1.220 1943 12 -0.222 -1.300 0 0 -0.222 -1.300 -1.111 -1.380 1944 1 1.333 3.034 0 0 1.333 3.034 0.008 2.518 1944 2 3.222 3.017 0 0 3.222 3.017 1.139 1.743 1944 3 5.333 -0.343 0 0 5.333 -0.343 3.739 -1.127 1944 4 12.111 -0.134 0 0 12.111 -0.134 10.917 -0.518 1944 5 20.444 2.666 0 0 20.444 2.666 19.950 2.981 1944 6 24.167 1.566 0 0 24.167 1.566 24.175 2.383 1944 7 NaN NaN NaN NaN NaN NaN 24.393 0.613 1944 8 NaN NaN NaN NaN NaN NaN 23.583 0.646 1944 9 NaN NaN NaN NaN NaN NaN 19.453 0.090 1944 10 NaN NaN NaN NaN NaN NaN 12.488 -0.058 1944 11 NaN NaN NaN NaN NaN NaN 6.739 0.821 1944 12 NaN NaN NaN NaN NaN NaN -2.435 -2.704 1945 1 NaN NaN NaN NaN NaN NaN -4.949 -2.439 1945 2 NaN NaN NaN NaN NaN NaN -0.552 0.052 1945 3 NaN NaN NaN NaN NaN NaN 11.038 6.171 1945 4 NaN NaN NaN NaN NaN NaN 12.331 0.896 1945 5 NaN NaN NaN NaN NaN NaN 14.185 -2.784 1945 6 NaN NaN NaN NaN NaN NaN 20.589 -1.202