% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39188 % Primary Name: CARSONVILLE % Record Type: TAVG % Country: United States % State: MI % Latitude: 43.41670 +/- 0.00005 % Longitude: -82.58330 +/- 0.00005 % Elevation (m): 245.06 +/- 0.15 % # of Months: 101 % % Alternate Names: Missing Station ID - 201331 % % IDs: coop - 201331 % ghcnd - USC00201331 % ncdc - 30015093 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 7ab920b3ee504ad4e118c9b6530799fb % Raw Data Hash: 7ee715ecaab8c3b6da58b553b3d832ae % Adj Data Hash: 4266398242ad31e476cee00043848dde % % 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 1895 10 NaN NaN NaN NaN NaN NaN 6.636 -3.362 1895 11 NaN NaN NaN NaN NaN NaN 2.931 -1.244 1895 12 NaN NaN NaN NaN NaN NaN -1.851 0.298 1896 1 NaN NaN NaN NaN NaN NaN -4.989 0.488 1896 2 NaN NaN NaN NaN NaN NaN -5.565 -0.261 1896 3 NaN NaN NaN NaN NaN NaN -4.545 -3.485 1896 4 NaN NaN NaN NaN NaN NaN 7.916 2.772 1896 5 NaN NaN NaN NaN NaN NaN 13.941 3.374 1896 6 NaN NaN NaN NaN NaN NaN 16.007 0.122 1896 7 NaN NaN NaN NaN NaN NaN 18.918 -0.146 1896 8 NaN NaN NaN NaN NaN NaN 18.824 -0.108 1896 9 NaN NaN NaN NaN NaN NaN 13.058 -2.329 1896 10 7.280 -3.484 0 0 7.345 -3.418 7.395 -2.604 1896 11 3.544 -1.396 0 0 3.607 -1.333 4.125 -0.050 1896 12 -2.903 -1.519 0 0 -2.866 -1.482 -2.201 -0.051 1897 1 -5.517 -0.806 0 0 -5.470 -0.758 -5.145 0.332 1897 2 -4.147 0.392 0 0 -4.051 0.488 -4.228 1.076 1897 3 -1.833 -1.538 0 0 -1.728 -1.433 -1.696 -0.636 1897 4 6.333 0.424 0 0 6.389 0.480 4.812 -0.332 1897 5 12.179 0.847 0 0 12.198 0.866 8.761 -1.806 1897 6 15.315 -1.335 0 0 15.345 -1.305 13.416 -2.469 1897 7 21.792 1.963 0 0 21.837 2.009 20.434 1.370 1897 8 18.145 -1.553 0 0 18.183 -1.515 17.120 -1.813 1897 9 17.537 1.385 0 0 17.579 1.427 16.546 1.160 1897 10 10.944 0.180 0 0 11.009 0.245 11.274 1.275 1897 11 1.884 -3.056 0 0 1.947 -2.993 3.429 -0.746 1897 12 -3.494 -2.109 0 0 -3.456 -2.072 -2.885 -0.736 1898 1 -1.818 2.894 0 0 -1.771 2.941 -4.360 1.117 1898 2 -3.953 0.586 0 0 -3.857 0.681 -4.952 0.352 1898 3 1.630 1.925 0 0 1.735 2.030 1.615 2.675 1898 4 4.778 -1.131 0 0 4.834 -1.075 4.577 -0.566 1898 5 12.276 0.944 0 0 12.295 0.962 10.495 -0.072 1898 6 18.444 1.794 0 0 18.475 1.825 16.380 0.495 1898 7 21.129 1.300 0 0 21.174 1.346 19.245 0.181 1898 8 20.386 0.688 0 0 20.423 0.725 18.705 -0.228 1898 9 18.233 2.081 0 0 18.275 2.123 17.055 1.669 1898 10 11.223 0.460 0 0 11.289 0.525 10.139 0.140 1898 11 1.815 -3.125 0 0 1.878 -3.062 3.260 -0.915 1898 12 -3.741 -2.356 0 0 -3.704 -2.319 -3.652 -1.503 1899 1 -4.544 0.168 0 0 -4.496 0.216 -6.165 -0.688 1899 2 -9.800 -5.261 0 0 -9.704 -5.166 -9.514 -4.210 1899 3 -4.593 -4.298 0 0 -4.487 -4.192 -4.641 -3.581 1899 4 7.259 1.350 0 0 7.315 1.406 6.159 1.015 1899 5 13.602 2.270 0 0 13.621 2.289 10.910 0.343 1899 6 18.259 1.609 0 0 18.290 1.639 16.349 0.464 1899 7 19.695 -0.134 0 0 19.741 -0.088 17.854 -1.210 1899 8 20.412 0.714 0 0 20.450 0.752 18.962 0.030 1899 9 14.148 -2.004 0 0 14.190 -1.962 13.439 -1.948 1899 10 11.326 0.562 0 0 11.392 0.628 11.323 1.324 1899 11 5.370 0.430 0 0 5.434 0.493 5.821 1.646 1899 12 -2.849 -1.465 0 0 -2.812 -1.428 -2.477 -0.328 1900 1 -3.065 1.647 0 0 -3.017 1.695 -3.639 1.838 1900 2 -8.018 -3.480 0 0 -7.923 -3.384 -7.805 -2.502 1900 3 -4.899 -4.604 0 0 -4.794 -4.499 -5.387 -4.327 1900 4 6.453 0.544 1 0 NaN NaN 6.061 0.917 1900 5 12.394 1.061 0 0 12.412 1.080 10.671 0.104 1900 6 NaN NaN NaN NaN NaN NaN 15.468 -0.417 1900 7 21.143 1.314 0 0 21.188 1.359 18.758 -0.306 1900 8 22.795 3.097 0 0 22.833 3.135 21.440 2.507 1900 9 17.980 1.828 0 0 18.022 1.870 17.186 1.799 1900 10 15.423 4.659 0 0 15.488 4.724 14.159 4.160 1900 11 3.438 -1.502 0 0 3.502 -1.439 3.864 -0.311 1900 12 -1.768 -0.383 0 0 -1.731 -0.346 -2.006 0.143 1901 1 -6.898 -2.186 1 0 NaN NaN -5.051 0.426 1901 2 -10.370 -5.831 0 0 -10.274 -5.735 -9.203 -3.899 1901 3 -1.381 -1.086 0 0 -1.275 -0.980 -2.328 -1.267 1901 4 5.790 -0.119 0 0 5.846 -0.063 6.004 0.860 1901 5 13.021 1.689 0 0 13.040 1.707 10.046 -0.521 1901 6 17.213 0.563 0 0 17.244 0.594 16.608 0.723 1901 7 24.229 4.400 0 0 24.274 4.445 21.206 2.143 1901 8 19.087 -0.611 0 0 19.125 -0.573 18.732 -0.201 1901 9 15.788 -0.364 0 0 15.830 -0.322 15.702 0.316 1901 10 9.344 -1.420 0 0 9.409 -1.355 10.351 0.353 1901 11 0.703 -4.237 0 0 0.767 -4.174 2.492 -1.683 1901 12 -4.705 -3.320 0 0 -4.668 -3.283 -4.015 -1.865 1902 1 -5.687 -0.975 0 0 -5.639 -0.928 -5.289 0.188 1902 2 -8.075 -3.536 0 0 -7.979 -3.441 -6.457 -1.153 1902 3 NaN NaN NaN NaN NaN NaN 2.103 3.164 1902 4 NaN NaN NaN NaN NaN NaN 5.846 0.702 1902 5 NaN NaN NaN NaN NaN NaN 10.152 -0.415 1902 6 NaN NaN NaN NaN NaN NaN 13.427 -2.458 1902 7 21.763 1.934 0 0 21.808 1.979 19.030 -0.034 1902 8 NaN NaN NaN NaN NaN NaN 16.506 -2.426 1902 9 14.395 -1.757 0 0 14.437 -1.715 14.614 -0.773 1902 10 NaN NaN NaN NaN NaN NaN 9.627 -0.372 1902 11 7.748 2.808 0 0 7.812 2.871 7.659 3.484 1902 12 NaN NaN NaN NaN NaN NaN -3.344 -1.194 1903 1 -3.840 0.872 0 0 -3.792 0.919 -5.331 0.146 1903 2 -5.294 -0.755 1 0 NaN NaN -5.124 0.180 1903 3 5.071 5.366 0 0 5.176 5.471 3.432 4.492 1903 4 7.153 1.244 0 0 7.209 1.300 5.486 0.342 1903 5 NaN NaN NaN NaN NaN NaN 11.200 0.633 1903 6 NaN NaN NaN NaN NaN NaN 13.271 -2.614 1903 7 NaN NaN NaN NaN NaN NaN 18.798 -0.266 1903 8 NaN NaN NaN NaN NaN NaN 16.322 -2.610 1903 9 NaN NaN NaN NaN NaN NaN 14.993 -0.394 1903 10 NaN NaN NaN NaN NaN NaN 10.373 0.375 1903 11 NaN NaN NaN NaN NaN NaN 1.951 -2.224 1903 12 NaN NaN NaN NaN NaN NaN -5.951 -3.801 1904 1 -10.858 -6.147 1 0 NaN NaN -9.696 -4.219 1904 2 NaN NaN NaN NaN NaN NaN -12.643 -7.339 1904 3 -0.455 -0.160 1 0 NaN NaN -2.823 -1.763 1904 4 3.502 -2.407 0 0 3.558 -2.351 2.583 -2.561 1904 5 13.722 2.390 1 0 NaN NaN 11.098 0.531 1904 6 17.923 1.273 1 0 NaN NaN 15.352 -0.532 1904 7 20.606 0.777 1 0 NaN NaN 17.893 -1.171 1904 8 NaN NaN NaN NaN NaN NaN 16.679 -2.254 1904 9 11.625 -4.527 1 0 NaN NaN 14.919 -0.468 1904 10 11.119 0.355 1 0 NaN NaN 8.665 -1.334 1904 11 8.436 3.496 1 0 NaN NaN 3.854 -0.321 1904 12 NaN NaN NaN NaN NaN NaN -5.138 -2.988 1905 1 -8.847 -4.135 1 0 NaN NaN -7.659 -2.182 1905 2 NaN NaN NaN NaN NaN NaN -9.786 -4.482 1905 3 3.573 3.868 1 0 NaN NaN -1.465 -0.405 1905 4 6.326 0.417 1 0 NaN NaN 4.720 -0.424 1905 5 12.123 0.791 1 0 NaN NaN 9.755 -0.812 1905 6 17.937 1.287 1 0 NaN NaN 15.258 -0.627 1905 7 21.216 1.387 1 0 NaN NaN 18.592 -0.472 1905 8 20.807 1.109 1 0 NaN NaN 18.671 -0.262 1905 9 17.345 1.193 1 0 NaN NaN 16.507 1.120 1905 10 11.092 0.329 1 0 NaN NaN 10.210 0.211 1905 11 NaN NaN NaN NaN NaN NaN 3.068 -1.107 1905 12 -0.691 0.693 1 0 NaN NaN -0.714 1.436 1906 1 -1.323 3.388 1 0 NaN NaN -0.961 4.516 1906 2 -6.071 -1.532 0 2 -6.803 -2.264 -6.055 -0.751 1906 3 -4.106 -3.811 0 0 -4.914 -4.619 -4.416 -3.356 1906 4 8.045 2.136 0 0 7.615 1.706 6.283 1.139 1906 5 12.742 1.410 0 0 12.600 1.268 9.722 -0.845 1906 6 19.132 2.482 0 0 18.900 2.249 16.274 0.390 1906 7 20.394 0.565 0 0 20.046 0.217 18.644 -0.420 1906 8 21.884 2.186 0 0 21.597 1.899 20.662 1.729 1906 9 18.763 2.611 0 0 18.441 2.289 17.955 2.569 1906 10 NaN NaN NaN NaN NaN NaN 9.770 -0.229 1906 11 8.050 3.110 1 0 NaN NaN 4.190 0.015 1906 12 -1.644 -0.259 0 0 -1.928 -0.544 -3.712 -1.562 1907 1 NaN NaN NaN NaN NaN NaN -5.368 0.109 1907 2 NaN NaN NaN NaN NaN NaN -8.407 -3.103 1907 3 NaN NaN NaN NaN NaN NaN 0.904 1.964 1907 4 NaN NaN NaN NaN NaN NaN 1.339 -3.805 1907 5 NaN NaN NaN NaN NaN NaN 6.149 -4.418 1907 6 NaN NaN NaN NaN NaN NaN 15.262 -0.623 1907 7 NaN NaN NaN NaN NaN NaN 18.554 -0.510 1907 8 NaN NaN NaN NaN NaN NaN 17.218 -1.715 1907 9 NaN NaN NaN NaN NaN NaN 15.387 0.000 1907 10 NaN NaN NaN NaN NaN NaN 7.671 -2.328 1907 11 NaN NaN NaN NaN NaN NaN 3.306 -0.869 1907 12 NaN NaN NaN NaN NaN NaN -2.149 0.001