% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41066 % Primary Name: GLEN FLORA % Record Type: TAVG % Country: United States % State: WI % Latitude: 45.50000 +/- 0.00005 % Longitude: -90.91670 +/- 0.00005 % Elevation (m): 449.58 +/- 0.15 % # of Months: 48 % % Alternate Names: Missing Station ID - 473090 % % IDs: coop - 473090 % ghcnd - USC00473090 % ncdc - 30002570 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 3cef83edf497445672bd30191402bac7 % Raw Data Hash: 62b4f9bf67da32563a62feb92913569d % Adj Data Hash: 91556e5de6e896d91cac481eff7bf3e4 % % 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 1911 9 NaN NaN NaN NaN NaN NaN 12.323 -1.150 1911 10 NaN NaN NaN NaN NaN NaN 6.333 -1.352 1911 11 NaN NaN NaN NaN NaN NaN -5.689 -4.622 1911 12 NaN NaN NaN NaN NaN NaN -6.224 2.912 1912 1 NaN NaN NaN NaN NaN NaN -22.932 -9.738 1912 2 NaN NaN NaN NaN NaN NaN -13.191 -3.032 1912 3 NaN NaN NaN NaN NaN NaN -7.528 -3.863 1912 4 NaN NaN NaN NaN NaN NaN 6.511 1.235 1912 5 NaN NaN NaN NaN NaN NaN 12.379 0.025 1912 6 NaN NaN NaN NaN NaN NaN 15.636 -1.688 1912 7 NaN NaN NaN NaN NaN NaN 19.433 -0.490 1912 8 NaN NaN NaN NaN NaN NaN 15.841 -2.712 1912 9 14.191 0.904 1 0 NaN NaN 13.338 -0.136 1912 10 7.995 0.496 0 0 7.995 0.496 8.920 1.236 1912 11 0.170 1.423 0 0 0.170 1.423 0.424 1.491 1912 12 -5.720 3.602 1 0 NaN NaN -7.185 1.951 1913 1 -11.363 2.017 0 0 -11.363 2.017 -13.129 0.064 1913 2 -13.368 -3.023 0 0 -13.368 -3.023 -13.643 -3.483 1913 3 -6.302 -2.451 0 0 -6.302 -2.451 -7.109 -3.444 1913 4 7.200 2.109 0 0 7.200 2.109 7.190 1.913 1913 5 10.981 -1.187 0 0 10.981 -1.187 10.733 -1.621 1913 6 18.368 1.229 0 0 18.368 1.229 18.415 1.091 1913 7 18.570 -1.168 0 0 18.570 -1.168 18.805 -1.118 1913 8 18.495 0.128 0 0 18.495 0.128 19.104 0.551 1913 9 13.626 0.338 0 0 13.626 0.338 13.117 -0.356 1913 10 6.492 -1.007 0 0 6.492 -1.007 7.082 -0.602 1913 11 2.263 3.516 0 0 2.263 3.516 2.571 3.638 1913 12 -3.511 5.811 0 0 -3.511 5.811 -3.450 5.686 1914 1 -7.665 5.714 0 0 -7.665 5.714 -8.754 4.440 1914 2 -15.889 -5.544 0 0 -15.889 -5.544 -15.670 -5.511 1914 3 -4.398 -0.548 0 0 -4.398 -0.548 -4.575 -0.910 1914 4 3.984 -1.107 0 0 3.984 -1.107 4.236 -1.040 1914 5 12.948 0.780 0 0 12.948 0.780 13.376 1.022 1914 6 15.847 -1.292 0 0 15.847 -1.292 16.224 -1.101 1914 7 20.356 0.618 0 0 20.356 0.618 21.104 1.180 1914 8 16.329 -2.038 0 0 16.329 -2.038 17.539 -1.014 1914 9 11.810 -1.478 0 0 11.810 -1.478 13.554 0.080 1914 10 NaN NaN NaN NaN NaN NaN 11.379 3.694 1914 11 -2.173 -0.920 0 0 -2.173 -0.920 -0.427 0.641 1914 12 -12.861 -3.539 0 0 -12.861 -3.539 -12.412 -3.276 1915 1 -12.678 0.701 0 0 -12.678 0.701 -13.420 -0.226 1915 2 -5.098 5.247 0 0 -5.098 5.247 -5.147 5.012 1915 3 -4.261 -0.411 0 0 -4.261 -0.411 -3.894 -0.229 1915 4 8.808 3.718 0 0 8.808 3.718 10.838 5.562 1915 5 7.737 -4.431 0 0 7.737 -4.431 9.506 -2.848 1915 6 12.482 -4.657 0 0 12.482 -4.657 14.156 -3.169 1915 7 NaN NaN NaN NaN NaN NaN 17.362 -2.561 1915 8 14.960 -3.407 0 0 14.960 -3.407 15.872 -2.680 1915 9 13.502 0.214 0 0 13.502 0.214 13.456 -0.018 1915 10 7.495 -0.004 0 0 7.495 -0.004 8.722 1.037 1915 11 1.038 2.291 0 0 1.038 2.291 0.003 1.070 1915 12 -6.502 2.821 0 0 -6.502 2.821 -7.997 1.140 1916 1 -11.746 1.633 0 0 -11.746 1.633 -13.830 -0.637 1916 2 -12.911 -2.565 1 0 NaN NaN -13.061 -2.902 1916 3 -5.506 -1.656 0 0 -5.506 -1.656 -6.599 -2.934 1916 4 NaN NaN NaN NaN NaN NaN 4.932 -0.344 1916 5 NaN NaN NaN NaN NaN NaN 10.910 -1.443 1916 6 13.875 -3.264 0 0 13.875 -3.264 14.208 -3.117 1916 7 22.275 2.537 0 0 22.275 2.537 23.041 3.118 1916 8 18.429 0.062 0 0 18.429 0.062 19.578 1.025 1916 9 NaN NaN NaN NaN NaN NaN 12.218 -1.256 1916 10 9.780 2.281 1 0 NaN NaN 7.551 -0.133 1916 11 NaN NaN NaN NaN NaN NaN -1.374 -0.307 1916 12 NaN NaN NaN NaN NaN NaN -12.892 -3.755 1917 1 -15.360 -1.981 0 0 -15.360 -1.981 -16.185 -2.991 1917 2 -16.363 -6.017 0 0 -16.363 -6.017 -16.412 -6.253 1917 3 NaN NaN NaN NaN NaN NaN -4.852 -1.188 1917 4 3.325 -1.766 0 0 3.325 -1.766 3.370 -1.907 1917 5 NaN NaN NaN NaN NaN NaN 9.333 -3.021 1917 6 NaN NaN NaN NaN NaN NaN 14.304 -3.021 1917 7 NaN NaN NaN NaN NaN NaN 20.070 0.146 1917 8 NaN NaN NaN NaN NaN NaN 16.563 -1.990 1917 9 NaN NaN NaN NaN NaN NaN 12.400 -1.073 1917 10 NaN NaN NaN NaN NaN NaN 2.534 -5.151 1917 11 NaN NaN NaN NaN NaN NaN 1.676 2.743 1917 12 NaN NaN NaN NaN NaN NaN -14.569 -5.432 1918 1 NaN NaN NaN NaN NaN NaN -18.232 -5.039 1918 2 NaN NaN NaN NaN NaN NaN -11.181 -1.022 1918 3 NaN NaN NaN NaN NaN NaN 0.043 3.708 1918 4 NaN NaN NaN NaN NaN NaN 4.349 -0.927