% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37731 % Primary Name: HAGAR % Record Type: TAVG % Country: United States % State: MI % Latitude: 42.11670 +/- 0.00005 % Longitude: -86.51670 +/- 0.00005 % Elevation (m): 198.12 +/- 0.15 % # of Months: 57 % % Alternate Names: Missing Station ID - 203521 % % IDs: coop - 203521 % ghcnd - USC00203521 % ncdc - 30015109 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: f39506a0b4e01f400f34995c70ffedf1 % Raw Data Hash: 9479eafcb12678475fcf44555798eb73 % Adj Data Hash: 53220b113b7668192753cd7b987fc340 % % 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 1901 6 NaN NaN NaN NaN NaN NaN 18.659 1.061 1901 7 NaN NaN NaN NaN NaN NaN 24.665 2.940 1901 8 NaN NaN NaN NaN NaN NaN 22.238 -0.030 1901 9 NaN NaN NaN NaN NaN NaN 18.530 -0.277 1901 10 NaN NaN NaN NaN NaN NaN 14.223 1.081 1901 11 NaN NaN NaN NaN NaN NaN 5.547 -1.424 1901 12 NaN NaN NaN NaN NaN NaN -0.972 -2.381 1902 1 NaN NaN NaN NaN NaN NaN -0.819 0.618 1902 2 NaN NaN NaN NaN NaN NaN -3.015 -2.838 1902 3 NaN NaN NaN NaN NaN NaN 5.124 2.106 1902 4 NaN NaN NaN NaN NaN NaN 7.140 -0.283 1902 5 NaN NaN NaN NaN NaN NaN 12.547 0.633 1902 6 14.770 -1.637 1 0 NaN NaN 15.526 -2.072 1902 7 23.069 2.536 0 0 22.363 1.829 21.569 -0.156 1902 8 19.300 -1.777 0 0 18.593 -2.484 20.175 -2.093 1902 9 16.673 -0.942 0 0 15.967 -1.648 16.951 -1.855 1902 10 12.052 0.101 0 0 11.345 -0.606 13.541 0.398 1902 11 9.036 3.256 0 0 8.329 2.549 10.586 3.615 1902 12 -1.598 -1.816 0 0 -2.305 -2.522 0.071 -1.337 1903 1 -3.711 -1.084 0 0 -4.418 -1.790 -1.502 -0.066 1903 2 -2.996 -1.629 0 0 -3.703 -2.335 -1.196 -1.020 1903 3 5.060 3.233 0 0 4.353 2.526 6.220 3.202 1903 4 9.053 2.822 0 0 8.347 2.115 7.813 0.391 1903 5 17.269 6.547 0 0 16.563 5.840 13.053 1.139 1903 6 16.590 0.183 0 0 15.883 -0.524 14.873 -2.725 1903 7 21.476 0.942 0 0 20.769 0.236 20.944 -0.781 1903 8 19.784 -1.293 0 0 19.077 -2.000 20.116 -2.152 1903 9 NaN NaN NaN NaN NaN NaN 18.497 -0.309 1903 10 11.911 -0.040 0 0 11.205 -0.746 13.242 0.100 1903 11 2.893 -2.887 0 0 2.187 -3.593 4.996 -1.975 1903 12 -5.087 -5.305 0 0 -5.794 -6.011 -3.305 -4.713 1904 1 -7.958 -5.331 0 0 -8.665 -6.037 -5.561 -4.124 1904 2 NaN NaN NaN NaN NaN NaN -6.580 -6.404 1904 3 0.966 -0.860 0 0 0.260 -1.567 1.957 -1.061 1904 4 4.095 -2.136 0 4 4.479 -1.753 4.393 -3.029 1904 5 13.687 2.965 0 0 14.071 3.348 11.539 -0.375 1904 6 18.349 1.942 1 0 NaN NaN 16.571 -1.027 1904 7 20.713 0.179 0 0 21.096 0.563 20.529 -1.195 1904 8 18.318 -2.760 0 0 18.701 -2.376 19.952 -2.317 1904 9 17.434 -0.182 0 0 17.817 0.202 18.451 -0.355 1904 10 10.569 -1.382 0 0 10.953 -0.998 13.026 -0.116 1904 11 4.297 -1.483 0 0 4.680 -1.100 8.061 1.089 1904 12 -4.735 -4.953 0 0 -4.352 -4.569 -0.727 -2.135 1905 1 -6.542 -3.914 0 0 -6.158 -3.531 -4.586 -3.150 1905 2 -8.318 -6.950 0 0 -7.934 -6.567 -5.646 -5.469 1905 3 2.593 0.767 1 0 NaN NaN 4.259 1.241 1905 4 6.862 0.630 0 0 7.245 1.014 6.918 -0.505 1905 5 13.053 2.331 0 0 13.437 2.714 10.804 -1.110 1905 6 18.244 1.837 0 0 18.628 2.221 16.871 -0.727 1905 7 21.237 0.704 0 0 21.621 1.087 20.319 -1.405 1905 8 21.060 -0.018 0 0 21.443 0.366 22.245 -0.023 1905 9 17.557 -0.059 0 0 17.940 0.325 19.639 0.832 1905 10 9.479 -2.472 0 0 9.863 -2.088 12.589 -0.553 1905 11 2.267 -3.513 0 0 2.650 -3.130 6.212 -0.759 1905 12 -1.895 -2.113 0 0 -1.512 -1.729 2.297 0.889 1906 1 -0.055 2.573 0 0 0.329 2.956 2.631 4.068 1906 2 -4.454 -3.086 0 0 -4.070 -2.702 -0.987 -0.810 1906 3 -2.069 -3.896 0 0 -1.686 -3.512 -0.605 -3.623 1906 4 7.452 1.220 0 0 7.835 1.604 8.500 1.078 1906 5 13.655 2.932 0 0 14.038 3.316 11.726 -0.188 1906 6 18.113 1.706 0 0 18.497 2.090 17.125 -0.473 1906 7 21.344 0.810 0 0 21.727 1.194 20.796 -0.929 1906 8 22.450 1.373 0 0 22.834 1.756 23.829 1.561 1906 9 18.890 1.275 0 0 19.274 1.658 21.124 2.318 1906 10 9.203 -2.748 0 0 9.587 -2.364 12.615 -0.527 1906 11 2.805 -2.975 0 0 3.189 -2.592 6.926 -0.045 1906 12 -2.765 -2.982 0 0 -2.381 -2.598 1.998 0.589 1907 1 -4.035 -1.408 0 0 -3.652 -1.024 -0.672 0.764 1907 2 -5.943 -4.575 0 0 -5.559 -4.192 -1.343 -1.166 1907 3 5.031 3.204 0 0 5.414 3.588 5.961 2.944 1907 4 NaN NaN NaN NaN NaN NaN 3.083 -4.339 1907 5 9.735 -0.987 0 0 10.119 -0.604 7.785 -4.129 1907 6 NaN NaN NaN NaN NaN NaN 16.281 -1.317 1907 7 NaN NaN NaN NaN NaN NaN 21.004 -0.721 1907 8 NaN NaN NaN NaN NaN NaN 20.758 -1.510 1907 9 NaN NaN NaN NaN NaN NaN 18.026 -0.781 1907 10 NaN NaN NaN NaN NaN NaN 11.430 -1.712 1907 11 NaN NaN NaN NaN NaN NaN 6.194 -0.777 1907 12 NaN NaN NaN NaN NaN NaN 2.293 0.885 1908 1 NaN NaN NaN NaN NaN NaN 0.367 1.803 1908 2 NaN NaN NaN NaN NaN NaN -1.369 -1.192 1908 3 NaN NaN NaN NaN NaN NaN 4.126 1.108 1908 4 NaN NaN NaN NaN NaN NaN 7.597 0.175 1908 5 NaN NaN NaN NaN NaN NaN 11.893 -0.020