% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40336 % Primary Name: ALGOMA CITY MARINA % Record Type: TAVG % Country: United States % State: WI % Latitude: 44.60000 +/- 0.00050 % Longitude: -87.43300 +/- 0.00050 % Elevation (m): 185.00 +/- 0.05 % # of Months: 15 % % IDs: gsod - 994972-99999 % icao - AGMW3 % usaf - 994972 % % Sources: Global Summary of the Day % % Site Hash: 37c2cdf2e309992e826b0db109a55688 % Raw Data Hash: 901daa93508f47f8e8f7c702037971a9 % Adj Data Hash: abbf33ee942ac82b46187b325bd39f1a % % 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 2005 4 NaN NaN NaN NaN NaN NaN 8.486 2.587 2005 5 NaN NaN NaN NaN NaN NaN 10.723 -0.978 2005 6 NaN NaN NaN NaN NaN NaN 20.169 3.422 2005 7 NaN NaN NaN NaN NaN NaN 20.972 1.190 2005 8 NaN NaN NaN NaN NaN NaN 20.925 1.436 2005 9 NaN NaN NaN NaN NaN NaN 18.597 2.957 2005 10 NaN NaN NaN NaN NaN NaN 12.223 1.865 2005 11 NaN NaN NaN NaN NaN NaN 5.347 1.420 2005 12 NaN NaN NaN NaN NaN NaN -3.393 -0.957 2006 1 NaN NaN NaN NaN NaN NaN 0.670 6.708 2006 2 NaN NaN NaN NaN NaN NaN -4.586 0.622 2006 3 NaN NaN NaN NaN NaN NaN 0.908 1.709 2006 4 8.773 3.348 1 0 NaN NaN 9.257 3.358 2006 5 11.129 -0.098 1 0 NaN NaN 12.556 0.855 2006 6 19.299 3.026 1 0 NaN NaN 17.034 0.287 2006 7 21.074 1.766 1 0 NaN NaN 21.768 1.986 2006 8 20.239 1.224 1 0 NaN NaN 20.354 0.866 2006 9 16.154 0.987 0 0 16.154 0.987 14.989 -0.652 2006 10 7.841 -2.043 0 0 7.841 -2.043 8.844 -1.514 2006 11 4.102 0.650 0 0 4.102 0.650 6.343 2.417 2006 12 -0.262 2.649 0 0 -0.262 2.649 1.280 3.716 2007 1 -3.023 3.488 0 0 -3.023 3.488 -2.688 3.349 2007 2 -7.850 -2.167 1 0 NaN NaN -7.956 -2.748 2007 3 NaN NaN NaN NaN NaN NaN 2.373 3.174 2007 4 6.823 1.398 1 0 NaN NaN 6.045 0.146 2007 5 13.401 2.174 0 0 13.401 2.174 13.809 2.108 2007 6 19.576 3.303 0 0 19.576 3.303 18.530 1.783 2007 7 21.459 2.151 1 0 NaN NaN 19.758 -0.024 2007 8 NaN NaN NaN NaN NaN NaN 20.694 1.205 2007 9 NaN NaN NaN NaN NaN NaN 17.425 1.784 2007 10 NaN NaN NaN NaN NaN NaN 14.211 3.853 2007 11 NaN NaN NaN NaN NaN NaN 4.207 0.281 2007 12 NaN NaN NaN NaN NaN NaN -2.823 -0.386 2008 1 NaN NaN NaN NaN NaN NaN -4.773 1.265 2008 2 NaN NaN NaN NaN NaN NaN -6.925 -1.717 2008 3 NaN NaN NaN NaN NaN NaN -2.005 -1.204 2008 4 NaN NaN NaN NaN NaN NaN 7.551 1.652 2008 5 NaN NaN NaN NaN NaN NaN 10.382 -1.319 2008 6 NaN NaN NaN NaN NaN NaN 17.288 0.540 2008 7 NaN NaN NaN NaN NaN NaN 19.990 0.208