% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40163 % Primary Name: BEAR LAKE % Record Type: TAVG % Country: United States % State: MI % Latitude: 44.42080 +/- 0.00005 % Longitude: -86.14810 +/- 0.00005 % Elevation (m): 241.10 +/- 0.15 % # of Months: 35 % % Alternate Names: Missing Station ID - 200603 % % IDs: coop - 200603 % ghcnd - USC00200603 % ncdc - 30015080 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 38cfefeb175b245c0359fbbf3c5811aa % Raw Data Hash: 00021a8442727f9a9c9304cd870f863e % Adj Data Hash: f81afe15b293f2716a16f56ca0386d48 % % 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 1891 2 NaN NaN NaN NaN NaN NaN -4.913 0.295 1891 3 NaN NaN NaN NaN NaN NaN -3.114 -2.313 1891 4 NaN NaN NaN NaN NaN NaN 6.528 0.629 1891 5 NaN NaN NaN NaN NaN NaN 10.428 -1.273 1891 6 NaN NaN NaN NaN NaN NaN 16.581 -0.166 1891 7 NaN NaN NaN NaN NaN NaN 16.605 -3.177 1891 8 NaN NaN NaN NaN NaN NaN 18.460 -1.028 1891 9 NaN NaN NaN NaN NaN NaN 17.804 2.163 1891 10 NaN NaN NaN NaN NaN NaN 10.114 -0.244 1891 11 NaN NaN NaN NaN NaN NaN 1.465 -2.461 1891 12 NaN NaN NaN NaN NaN NaN 1.685 4.122 1892 1 NaN NaN NaN NaN NaN NaN -8.152 -2.114 1892 2 -4.411 1.010 0 0 -4.411 1.010 -3.685 1.523 1892 3 -3.234 -2.220 0 0 -3.234 -2.220 -2.737 -1.936 1892 4 4.787 -0.899 0 0 4.787 -0.899 4.599 -1.300 1892 5 10.970 -0.519 0 0 10.970 -0.519 9.243 -2.458 1892 6 17.278 0.744 0 0 17.278 0.744 15.970 -0.777 1892 7 20.055 0.486 0 0 20.055 0.486 19.540 -0.242 1892 8 18.449 -0.827 0 0 18.449 -0.827 18.750 -0.739 1892 9 14.690 -0.738 0 0 14.690 -0.738 15.383 -0.258 1892 10 8.604 -1.541 0 0 8.604 -1.541 10.446 0.087 1892 11 0.338 -3.376 0 0 0.338 -3.376 1.344 -2.582 1892 12 -4.689 -2.039 0 0 -4.689 -2.039 -5.184 -2.748 1893 1 -10.054 -3.803 0 0 -10.054 -3.803 -10.975 -4.937 1893 2 -8.805 -3.384 0 0 -8.805 -3.384 -8.715 -3.507 1893 3 -3.029 -2.015 0 0 -3.029 -2.015 -2.951 -2.150 1893 4 3.830 -1.856 0 0 3.830 -1.856 4.170 -1.729 1893 5 9.283 -2.205 0 0 9.283 -2.205 9.223 -2.479 1893 6 18.630 2.095 0 0 18.630 2.095 17.944 1.197 1893 7 19.626 0.057 0 0 19.626 0.057 19.749 -0.033 1893 8 17.540 -1.735 0 0 17.540 -1.735 17.978 -1.511 1893 9 12.889 -2.539 0 0 12.889 -2.539 14.451 -1.190 1893 10 8.900 -1.245 0 0 8.900 -1.245 10.507 0.149 1893 11 1.074 -2.639 0 0 1.074 -2.639 2.698 -1.229 1893 12 -4.881 -2.231 0 0 -4.881 -2.231 -4.922 -2.485 1894 1 -4.056 2.195 0 0 -4.056 2.195 -4.447 1.590 1894 2 -6.944 -1.523 0 0 -6.944 -1.523 -6.769 -1.561 1894 3 1.738 2.752 0 0 1.738 2.752 2.523 3.324 1894 4 7.204 1.518 0 0 7.204 1.518 7.184 1.285 1894 5 11.147 -0.341 0 0 11.147 -0.341 10.391 -1.310 1894 6 19.259 2.725 0 0 19.259 2.725 18.510 1.763 1894 7 NaN NaN NaN NaN NaN NaN 20.291 0.509 1894 8 NaN NaN NaN NaN NaN NaN 18.617 -0.872 1894 9 NaN NaN NaN NaN NaN NaN 16.634 0.993 1894 10 NaN NaN NaN NaN NaN NaN 10.188 -0.170 1894 11 NaN NaN NaN NaN NaN NaN 1.008 -2.919 1894 12 -1.611 1.038 0 0 -1.611 1.038 -0.090 2.346 1895 1 -6.222 0.028 0 0 -6.222 0.028 -8.465 -2.427 1895 2 -9.676 -4.255 1 0 NaN NaN -9.397 -4.189 1895 3 -7.067 -6.053 0 0 -7.067 -6.053 -3.555 -2.754 1895 4 9.914 4.228 1 0 NaN NaN 7.032 1.133 1895 5 13.731 2.243 1 0 NaN NaN 12.243 0.542 1895 6 NaN NaN NaN NaN NaN NaN 17.917 1.170 1895 7 NaN NaN NaN NaN NaN NaN 18.167 -1.615 1895 8 NaN NaN NaN NaN NaN NaN 19.130 -0.359 1895 9 NaN NaN NaN NaN NaN NaN 17.499 1.858 1895 10 NaN NaN NaN NaN NaN NaN 6.826 -3.532 1895 11 NaN NaN NaN NaN NaN NaN 2.199 -1.728 1895 12 NaN NaN NaN NaN NaN NaN -1.917 0.519 1896 1 NaN NaN NaN NaN NaN NaN -4.802 1.235 1896 2 NaN NaN NaN NaN NaN NaN -4.891 0.317 1896 3 NaN NaN NaN NaN NaN NaN -3.803 -3.002 1896 4 NaN NaN NaN NaN NaN NaN 8.327 2.428 1896 5 NaN NaN NaN NaN NaN NaN 15.392 3.691