% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37338 % Primary Name: STURGIS % Record Type: TAVG % Country: United States % State: MI % Latitude: 41.80000 +/- 0.00005 % Longitude: -85.41670 +/- 0.00005 % Elevation (m): 256.64 +/- 0.15 % # of Months: 34 % % Alternate Names: Missing Station ID - 207946 % % IDs: coop - 207946 % ghcnd - USC00207946 % ncdc - 30015174 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 60660dcee3a2d3340b55ac7aea62fa76 % Raw Data Hash: 163c014f221d0794dfad65728859a942 % Adj Data Hash: 163c014f221d0794dfad65728859a942 % % 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 1922 1 NaN NaN NaN NaN NaN NaN -6.125 -1.457 1922 2 NaN NaN NaN NaN NaN NaN -1.794 1.108 1922 3 NaN NaN NaN NaN NaN NaN 3.954 1.263 1922 4 NaN NaN NaN NaN NaN NaN 10.470 0.865 1922 5 NaN NaN NaN NaN NaN NaN 17.570 1.877 1922 6 NaN NaN NaN NaN NaN NaN 21.633 0.679 1922 7 NaN NaN NaN NaN NaN NaN 22.043 -0.910 1922 8 NaN NaN NaN NaN NaN NaN 21.630 -0.246 1922 9 NaN NaN NaN NaN NaN NaN 20.193 2.020 1922 10 NaN NaN NaN NaN NaN NaN 13.140 1.592 1922 11 NaN NaN NaN NaN NaN NaN 6.101 1.458 1922 12 NaN NaN NaN NaN NaN NaN -1.668 -0.043 1923 1 -2.089 2.929 0 0 -2.089 2.929 -2.280 2.388 1923 2 NaN NaN NaN NaN NaN NaN -5.784 -2.883 1923 3 0.343 -1.998 0 0 0.343 -1.998 1.255 -1.436 1923 4 7.947 -1.309 0 0 7.947 -1.309 8.559 -1.046 1923 5 13.208 -2.135 0 0 13.208 -2.135 13.693 -2.000 1923 6 22.097 1.492 0 0 22.097 1.492 22.067 1.113 1923 7 23.026 0.422 0 0 23.026 0.422 22.573 -0.380 1923 8 20.719 -0.807 0 0 20.719 -0.807 20.708 -1.168 1923 9 18.033 0.208 0 0 18.033 0.208 18.429 0.255 1923 10 9.939 -1.259 0 0 9.939 -1.259 9.906 -1.641 1923 11 4.465 0.172 0 0 4.465 0.172 4.838 0.195 1923 12 2.490 4.465 0 0 2.490 4.465 3.153 4.778 1924 1 -6.532 -1.514 0 0 -6.532 -1.514 -7.034 -2.365 1924 2 -4.155 -0.904 0 0 -4.155 -0.904 -4.104 -1.202 1924 3 0.385 -1.956 0 0 0.385 -1.956 0.785 -1.905 1924 4 8.273 -0.983 0 0 8.273 -0.983 9.117 -0.488 1924 5 11.708 -3.635 0 0 11.708 -3.635 11.686 -4.007 1924 6 18.872 -1.733 0 0 18.872 -1.733 19.267 -1.687 1924 7 20.681 -1.923 0 0 20.681 -1.923 20.798 -2.155 1924 8 20.929 -0.597 0 0 20.929 -0.597 21.114 -0.762 1924 9 14.623 -3.201 0 0 14.623 -3.201 15.456 -2.718 1924 10 13.429 2.231 0 0 13.429 2.231 13.768 2.221 1924 11 4.288 -0.005 0 0 4.288 -0.005 4.810 0.168 1924 12 -5.306 -3.332 0 0 -5.306 -3.332 -4.673 -3.047 1925 1 -6.048 -1.030 0 0 -6.048 -1.030 -6.083 -1.414 1925 2 NaN NaN NaN NaN NaN NaN 0.201 3.102 1925 3 3.061 0.720 0 0 3.061 0.720 3.867 1.176 1925 4 11.863 2.607 0 0 11.863 2.607 12.242 2.637 1925 5 12.640 -2.703 0 0 12.640 -2.703 12.841 -2.852 1925 6 22.223 1.619 0 0 22.223 1.619 22.661 1.708 1925 7 21.031 -1.573 0 0 21.031 -1.573 21.932 -1.020 1925 8 21.569 0.043 0 0 21.569 0.043 21.601 -0.275 1925 9 20.059 2.234 0 0 20.059 2.234 21.118 2.944 1925 10 6.431 -4.767 0 0 6.431 -4.767 6.940 -4.608 1925 11 2.280 -2.013 0 0 2.280 -2.013 3.276 -1.367 1925 12 -3.641 -1.667 0 0 -3.641 -1.667 -3.566 -1.940 1926 1 NaN NaN NaN NaN NaN NaN -4.183 0.486 1926 2 NaN NaN NaN NaN NaN NaN -1.918 0.983 1926 3 NaN NaN NaN NaN NaN NaN -1.012 -3.703 1926 4 NaN NaN NaN NaN NaN NaN 5.827 -3.778 1926 5 NaN NaN NaN NaN NaN NaN 15.310 -0.383 1926 6 NaN NaN NaN NaN NaN NaN 18.214 -2.740 1926 7 NaN NaN NaN NaN NaN NaN 22.432 -0.520 1926 8 NaN NaN NaN NaN NaN NaN 22.774 0.898 1926 9 NaN NaN NaN NaN NaN NaN 18.199 0.025 1926 10 NaN NaN NaN NaN NaN NaN 11.219 -0.328 1926 11 NaN NaN NaN NaN NaN NaN 3.655 -0.988 1926 12 NaN NaN NaN NaN NaN NaN -3.297 -1.671