% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37314 % Primary Name: BRONSON % Record Type: TAVG % Country: United States % State: MI % Latitude: 41.78330 +/- 0.00005 % Longitude: -85.20000 +/- 0.00005 % Elevation (m): 287.60 +/- 10.00 % # of Months: 67 % % Alternate Names: Missing Station ID - 201011 % % IDs: coop - 201011 % ghcnd - USC00201011 % ncdc - 30015091 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 8efed587d5b1ff1c2b1e2f9d7d4b1dad % Raw Data Hash: ebaf598d98fb74e7c5942dd0130bb2bf % Adj Data Hash: c740905c710c7a0c2b2a9e297513536d % % 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 1890 9 NaN NaN NaN NaN NaN NaN 15.818 -2.356 1890 10 NaN NaN NaN NaN NaN NaN 10.900 -0.647 1890 11 NaN NaN NaN NaN NaN NaN 5.636 0.993 1890 12 NaN NaN NaN NaN NaN NaN -1.972 -0.347 1891 1 NaN NaN NaN NaN NaN NaN -2.184 2.485 1891 2 NaN NaN NaN NaN NaN NaN -0.725 2.177 1891 3 NaN NaN NaN NaN NaN NaN -0.058 -2.749 1891 4 NaN NaN NaN NaN NaN NaN 10.525 0.920 1891 5 NaN NaN NaN NaN NaN NaN 13.416 -2.277 1891 6 NaN NaN NaN NaN NaN NaN 21.161 0.207 1891 7 NaN NaN NaN NaN NaN NaN 20.156 -2.797 1891 8 NaN NaN NaN NaN NaN NaN 20.591 -1.285 1891 9 16.296 -0.480 0 0 16.296 -0.480 19.690 1.516 1891 10 6.577 -3.572 0 0 6.577 -3.572 10.218 -1.329 1891 11 0.167 -3.078 0 0 0.167 -3.078 2.658 -1.985 1891 12 0.020 3.043 0 0 0.020 3.043 2.087 3.712 1892 1 -6.838 -0.771 0 0 -6.838 -0.771 -7.152 -2.484 1892 2 -2.078 2.221 0 0 -2.078 2.221 -0.964 1.938 1892 3 -1.720 -3.013 0 0 -1.720 -3.013 0.166 -2.525 1892 4 6.628 -1.579 0 0 6.628 -1.579 8.414 -1.192 1892 5 12.778 -1.517 0 0 12.778 -1.517 13.986 -1.707 1892 6 20.864 1.309 0 0 20.864 1.309 21.864 0.910 1892 7 22.148 0.593 0 0 22.148 0.593 22.514 -0.438 1892 8 20.269 -0.209 0 0 20.269 -0.209 21.379 -0.497 1892 9 15.226 -1.550 0 0 15.226 -1.550 17.729 -0.445 1892 10 7.556 -2.594 0 0 7.556 -2.594 10.821 -0.726 1892 11 0.179 -3.066 0 0 0.179 -3.066 2.137 -2.505 1892 12 -5.000 -1.977 0 0 -5.000 -1.977 -3.376 -1.751 1893 1 -10.402 -4.336 0 0 -10.402 -4.336 -10.322 -5.654 1893 2 -4.868 -0.568 0 0 -4.868 -0.568 -4.626 -1.724 1893 3 1.402 0.109 0 0 1.402 0.109 2.068 -0.623 1893 4 6.296 -1.911 0 0 6.296 -1.911 8.957 -0.648 1893 5 12.670 -1.625 0 0 12.670 -1.625 13.660 -2.033 1893 6 20.889 1.333 0 0 20.889 1.333 21.345 0.392 1893 7 21.630 0.075 0 0 21.630 0.075 23.450 0.497 1893 8 19.409 -1.069 0 0 19.409 -1.069 20.897 -0.979 1893 9 17.130 0.354 0 0 17.130 0.354 18.269 0.095 1893 10 9.769 -0.381 0 0 9.769 -0.381 11.493 -0.054 1893 11 0.679 -2.566 0 0 0.679 -2.566 3.325 -1.318 1893 12 -3.136 -0.113 0 0 -3.136 -0.113 -1.739 -0.113 1894 1 -3.056 3.011 0 0 -3.056 3.011 -1.528 3.141 1894 2 -5.329 -1.030 0 0 -5.329 -1.030 -4.628 -1.726 1894 3 4.552 3.259 0 0 4.552 3.259 6.137 3.446 1894 4 8.519 0.311 0 0 8.519 0.311 10.254 0.649 1894 5 13.889 -0.406 0 0 13.889 -0.406 14.534 -1.159 1894 6 21.536 1.980 0 0 21.536 1.980 22.154 1.200 1894 7 22.186 0.632 0 0 22.186 0.632 23.044 0.091 1894 8 19.352 -1.126 0 0 19.352 -1.126 21.091 -0.785 1894 9 16.368 -0.408 0 0 16.368 -0.408 19.115 0.941 1894 10 9.444 -0.705 0 0 9.444 -0.705 11.449 -0.098 1894 11 0.218 -3.027 0 0 0.218 -3.027 2.299 -2.343 1894 12 -0.364 2.659 0 0 -0.364 2.659 0.260 1.886 1895 1 -8.175 -2.108 0 0 -8.175 -2.108 -7.859 -3.191 1895 2 -9.359 -5.059 0 0 -9.359 -5.059 -8.725 -5.824 1895 3 -2.073 -3.365 0 0 -2.073 -3.365 0.564 -2.126 1895 4 9.885 1.677 0 0 9.885 1.677 10.742 1.137 1895 5 15.754 1.459 0 0 15.754 1.459 16.053 0.360 1895 6 22.137 2.581 0 0 22.137 2.581 22.628 1.675 1895 7 19.519 -2.036 0 0 19.519 -2.036 21.942 -1.010 1895 8 NaN NaN NaN NaN NaN NaN 22.390 0.515 1895 9 17.431 0.655 1 0 NaN NaN 20.459 2.285 1895 10 5.323 -4.827 0 0 5.323 -4.827 7.447 -4.100 1895 11 2.972 -0.273 0 0 2.972 -0.273 3.679 -0.963 1895 12 -2.202 0.821 0 0 -2.202 0.821 -0.952 0.673 1896 1 -4.828 1.239 0 0 -4.828 1.239 -4.302 0.367 1896 2 -3.642 0.658 0 0 -3.642 0.658 -2.856 0.045 1896 3 -2.682 -3.975 0 0 -2.682 -3.975 -0.523 -3.214 1896 4 10.852 2.644 0 0 10.852 2.644 13.045 3.439 1896 5 18.226 3.931 0 0 18.226 3.931 19.315 3.622 1896 6 20.204 0.648 0 0 20.204 0.648 20.859 -0.094 1896 7 21.344 -0.211 0 0 21.344 -0.211 22.310 -0.643 1896 8 22.647 2.169 0 0 22.647 2.169 21.585 -0.291 1896 9 15.019 -1.757 0 0 15.019 -1.757 16.310 -1.864 1896 10 8.529 -1.620 0 0 8.529 -1.620 8.977 -2.570 1896 11 2.755 -0.490 0 0 2.755 -0.490 5.489 0.847 1896 12 -2.354 0.669 0 0 -2.354 0.669 -0.714 0.912 1897 1 -6.778 -0.711 1 0 NaN NaN -6.318 -1.650 1897 2 -2.878 1.422 0 0 -2.878 1.422 -2.281 0.621 1897 3 0.853 -0.440 0 0 0.853 -0.440 3.283 0.593 1897 4 2.889 -5.319 1 0 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 NaN NaN NaN NaN NaN NaN -2.403 -0.777 1898 1 NaN NaN NaN NaN NaN NaN -2.201 2.467 1898 2 NaN NaN NaN NaN NaN NaN -2.743 0.159 1898 3 NaN NaN NaN NaN NaN NaN 5.697 3.006 1898 4 NaN NaN NaN NaN NaN NaN 8.264 -1.342