% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40429 % Primary Name: LINCOLN % Record Type: TAVG % Country: United States % State: MI % Latitude: 44.68470 +/- 0.00005 % Longitude: -83.41220 +/- 0.00005 % Elevation (m): 239.27 +/- 0.15 % # of Months: 74 % % Alternate Names: Missing Station ID - 204790 % % IDs: coop - 204790 % ghcnd - USC00204790 % ncdc - 30015140 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 76d42ae7535b60e93da8bd5fbc220aaf % Raw Data Hash: df30fbef52ef772868cc46f7ba340af8 % Adj Data Hash: 60105c4e50d91d05ee7155ab2b70e175 % % 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 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 NaN NaN NaN NaN NaN NaN 7.395 -2.604 1896 11 NaN NaN NaN NaN NaN NaN 4.125 -0.050 1896 12 -5.947 -3.237 1 0 NaN NaN -2.201 -0.051 1897 1 -7.788 -1.751 0 0 -7.788 -1.751 -5.145 0.332 1897 2 -5.813 0.051 0 0 -5.813 0.051 -4.228 1.076 1897 3 -3.327 -1.707 0 0 -3.327 -1.707 -1.696 -0.636 1897 4 3.938 -0.646 0 0 3.938 -0.646 4.812 -0.332 1897 5 9.738 -0.269 0 0 9.738 -0.269 8.761 -1.806 1897 6 14.802 -0.523 0 0 14.802 -0.523 13.416 -2.469 1897 7 21.289 2.785 0 0 21.289 2.785 20.434 1.370 1897 8 16.819 -1.553 0 0 16.819 -1.553 17.120 -1.813 1897 9 16.150 1.323 0 0 16.150 1.323 16.546 1.160 1897 10 10.348 0.910 0 0 10.348 0.910 11.274 1.275 1897 11 1.886 -1.729 0 0 1.886 -1.729 3.429 -0.746 1897 12 -4.688 -1.979 0 0 -4.688 -1.979 -2.885 -0.736 1898 1 -5.900 0.137 1 0 NaN NaN -4.360 1.117 1898 2 -6.589 -0.725 0 0 -6.589 -0.725 -4.952 0.352 1898 3 0.209 1.829 0 0 0.209 1.829 1.615 2.675 1898 4 4.454 -0.130 0 0 4.454 -0.130 4.577 -0.566 1898 5 11.701 1.694 0 0 11.701 1.694 10.495 -0.072 1898 6 16.950 1.625 0 0 16.950 1.625 16.380 0.495 1898 7 NaN NaN NaN NaN NaN NaN 19.245 0.181 1898 8 18.521 0.148 0 0 18.521 0.148 18.705 -0.228 1898 9 16.188 1.361 0 0 16.188 1.361 17.055 1.669 1898 10 8.701 -0.738 0 0 8.701 -0.738 10.139 0.140 1898 11 1.547 -2.068 0 0 1.547 -2.068 3.260 -0.915 1898 12 -6.300 -3.591 0 0 -6.300 -3.591 -3.652 -1.503 1899 1 -8.048 -2.012 0 0 -8.048 -2.012 -6.165 -0.688 1899 2 -11.919 -6.055 0 0 -11.919 -6.055 -9.514 -4.210 1899 3 NaN NaN NaN NaN NaN NaN -4.641 -3.581 1899 4 NaN NaN NaN NaN NaN NaN 6.159 1.015 1899 5 11.866 1.858 0 0 11.866 1.858 10.910 0.343 1899 6 17.089 1.764 0 0 17.089 1.764 16.349 0.464 1899 7 18.168 -0.336 0 0 18.168 -0.336 17.854 -1.210 1899 8 18.347 -0.026 0 0 18.347 -0.026 18.962 0.030 1899 9 12.132 -2.695 0 0 12.132 -2.695 13.439 -1.948 1899 10 10.390 0.952 0 0 10.390 0.952 11.323 1.324 1899 11 3.983 0.368 0 0 3.983 0.368 5.821 1.646 1899 12 -4.089 -1.379 0 0 -4.089 -1.379 -2.477 -0.328 1900 1 -4.969 1.067 1 0 NaN NaN -3.639 1.838 1900 2 -6.987 -1.123 1 0 NaN NaN -7.805 -2.502 1900 3 -6.348 -4.728 0 0 -6.348 -4.728 -5.387 -4.327 1900 4 6.437 1.853 0 0 6.437 1.853 6.061 0.917 1900 5 12.072 2.065 0 0 12.072 2.065 10.671 0.104 1900 6 17.273 1.948 0 0 17.273 1.948 15.468 -0.417 1900 7 18.237 -0.267 0 0 18.237 -0.267 18.758 -0.306 1900 8 20.895 2.522 0 0 20.895 2.522 21.440 2.507 1900 9 16.648 1.821 0 0 16.648 1.821 17.186 1.799 1900 10 13.044 3.605 0 0 13.044 3.605 14.159 4.160 1900 11 1.263 -2.352 0 0 1.263 -2.352 3.864 -0.311 1900 12 -2.571 0.138 1 0 NaN NaN -2.006 0.143 1901 1 -6.539 -0.502 0 0 -6.539 -0.502 -5.051 0.426 1901 2 -11.270 -5.406 0 0 -11.270 -5.406 -9.203 -3.899 1901 3 -4.044 -2.423 0 0 -4.044 -2.423 -2.328 -1.267 1901 4 7.210 2.626 0 0 7.210 2.626 6.004 0.860 1901 5 11.003 0.996 0 0 11.003 0.996 10.046 -0.521 1901 6 17.388 2.063 0 0 17.388 2.063 16.608 0.723 1901 7 21.306 2.803 0 0 21.306 2.803 21.206 2.143 1901 8 18.392 0.020 0 0 18.392 0.020 18.732 -0.201 1901 9 15.397 0.570 0 0 15.397 0.570 15.702 0.316 1901 10 9.149 -0.289 0 0 9.149 -0.289 10.351 0.353 1901 11 0.507 -3.108 0 0 0.507 -3.108 2.492 -1.683 1901 12 -5.623 -2.913 0 0 -5.623 -2.913 -4.015 -1.865 1902 1 -6.453 -0.416 0 0 -6.453 -0.416 -5.289 0.188 1902 2 -6.007 -0.143 1 0 NaN NaN -6.457 -1.153 1902 3 1.236 2.856 0 0 1.236 2.856 2.103 3.164 1902 4 5.482 0.898 0 0 5.482 0.898 5.846 0.702 1902 5 10.802 0.795 0 0 10.802 0.795 10.152 -0.415 1902 6 14.483 -0.842 0 0 14.483 -0.842 13.427 -2.458 1902 7 20.563 2.060 0 0 20.563 2.060 19.030 -0.034 1902 8 NaN NaN NaN NaN NaN NaN 16.506 -2.426 1902 9 12.855 -1.972 0 0 12.855 -1.972 14.614 -0.773 1902 10 9.145 -0.294 0 0 9.145 -0.294 9.627 -0.372 1902 11 6.206 2.590 0 0 6.206 2.590 7.659 3.484 1902 12 -4.611 -1.902 0 0 -4.611 -1.902 -3.344 -1.194 1903 1 -6.380 -0.343 0 0 -6.380 -0.343 -5.331 0.146 1903 2 -6.401 -0.537 1 0 NaN NaN -5.124 0.180 1903 3 4.556 6.176 0 0 4.556 6.176 3.432 4.492 1903 4 NaN NaN NaN NaN NaN NaN 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 21.560 3.056 0 0 21.560 3.056 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 7.433 3.818 1 0 NaN NaN 1.951 -2.224 1903 12 NaN NaN NaN NaN NaN NaN -5.951 -3.801 1904 1 NaN NaN NaN NaN NaN NaN -9.696 -4.219 1904 2 NaN NaN NaN NaN NaN NaN -12.643 -7.339 1904 3 NaN NaN NaN NaN NaN NaN -2.823 -1.763 1904 4 NaN NaN NaN NaN NaN NaN 2.583 -2.561 1904 5 NaN NaN NaN NaN NaN NaN 11.098 0.531 1904 6 NaN NaN NaN NaN NaN NaN 15.352 -0.532 1904 7 NaN NaN NaN NaN NaN NaN 17.893 -1.171 1904 8 NaN NaN NaN NaN NaN NaN 16.679 -2.254 1904 9 NaN NaN NaN NaN NaN NaN 14.919 -0.468 1904 10 NaN NaN NaN NaN NaN NaN 8.665 -1.334 1904 11 NaN NaN NaN NaN NaN NaN 3.854 -0.321