% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 18787 % Primary Name: EIGEROYA % Record Type: TAVG % Country: Norway % Latitude: 58.43396 +/- 0.00146 % Longitude: 5.86915 +/- 0.00265 % Elevation (m): 49.00 +/- 0.05 % # of Months: 43 % % IDs: gsod - 014260-99999 % usaf - 14260 % wmo - 1426 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: b7d1dadc9ccaf63d168a5fb1a7629dbb % Raw Data Hash: 55a30a7e9d57d1f3686f05a6dbe3fdc4 % Adj Data Hash: 40bde1fa30c49a3165e20b33b54474a8 % % 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 2009 4 NaN NaN NaN NaN NaN NaN 6.903 3.343 2009 5 NaN NaN NaN NaN NaN NaN 9.409 1.126 2009 6 NaN NaN NaN NaN NaN NaN 12.318 0.501 2009 7 NaN NaN NaN NaN NaN NaN 14.795 1.531 2009 8 NaN NaN NaN NaN NaN NaN 14.152 0.842 2009 9 NaN NaN NaN NaN NaN NaN 11.342 0.805 2009 10 NaN NaN NaN NaN NaN NaN 5.692 -0.931 2009 11 NaN NaN NaN NaN NaN NaN 4.627 2.305 2009 12 NaN NaN NaN NaN NaN NaN -1.229 -0.717 2010 1 NaN NaN NaN NaN NaN NaN -5.700 -3.660 2010 2 NaN NaN NaN NaN NaN NaN -4.991 -2.854 2010 3 NaN NaN NaN NaN NaN NaN 1.482 1.112 2010 4 5.082 -0.224 1 0 NaN NaN 4.708 1.147 2010 5 7.348 -2.681 1 0 NaN NaN 7.805 -0.479 2010 6 9.926 -3.636 1 0 NaN NaN 11.544 -0.273 2010 7 NaN NaN NaN NaN NaN NaN 14.287 1.023 2010 8 14.979 -0.076 1 0 NaN NaN 13.896 0.586 2010 9 12.443 0.160 0 0 12.443 0.160 10.413 -0.124 2010 10 8.738 0.370 0 0 8.738 0.370 6.621 -0.002 2010 11 2.217 -1.850 0 0 2.217 -1.850 -0.632 -2.954 2010 12 -1.763 -2.997 0 0 -1.763 -2.997 -5.776 -5.265 2011 1 2.375 2.668 0 0 2.375 2.668 -0.981 1.058 2011 2 0.431 0.823 1 0 NaN NaN -2.271 -0.134 2011 3 2.584 0.468 0 0 2.584 0.468 1.299 0.929 2011 4 7.311 2.005 0 0 7.311 2.005 6.639 3.078 2011 5 9.724 -0.305 0 0 9.724 -0.305 9.125 0.841 2011 6 12.222 -1.340 0 0 12.222 -1.340 12.142 0.325 2011 7 14.884 -0.126 0 0 14.884 -0.126 14.104 0.841 2011 8 15.143 0.088 0 0 15.143 0.088 13.731 0.421 2011 9 13.181 0.899 0 0 13.181 0.899 11.325 0.788 2011 10 10.534 2.165 0 0 10.534 2.165 8.236 1.613 2011 11 8.422 4.355 0 0 8.422 4.355 5.652 3.330 2011 12 5.009 3.775 0 0 5.009 3.775 1.813 2.325 2012 1 3.412 3.706 0 0 3.412 3.706 0.106 2.146 2012 2 2.145 2.537 1 0 NaN NaN -0.855 1.282 2012 3 5.208 3.092 0 0 5.208 3.092 4.374 4.003 2012 4 5.315 0.009 0 0 5.315 0.009 3.837 0.276 2012 5 9.269 -0.760 0 0 9.269 -0.760 9.147 0.864 2012 6 10.883 -2.679 0 0 10.883 -2.679 10.830 -0.987 2012 7 14.014 -0.995 0 0 14.014 -0.995 12.960 -0.303 2012 8 15.249 0.194 0 0 15.249 0.194 13.956 0.646 2012 9 11.824 -0.459 0 0 11.824 -0.459 9.731 -0.807 2012 10 8.147 -0.222 0 0 8.147 -0.222 5.783 -0.841 2012 11 6.824 2.757 0 0 6.824 2.757 4.179 1.857 2012 12 0.863 -0.371 0 0 0.863 -0.371 -2.624 -2.112 2013 1 0.760 1.054 0 0 0.760 1.054 -2.630 -0.591 2013 2 0.483 0.874 1 0 NaN NaN -3.046 -0.909 2013 3 0.812 -1.304 0 0 0.812 -1.304 -1.598 -1.969 2013 4 4.415 -0.891 0 0 4.415 -0.891 2.843 -0.718 2013 5 9.767 -0.262 0 0 9.767 -0.262 9.601 1.318 2013 6 11.396 -2.166 0 0 11.396 -2.166 11.736 -0.081 2013 7 14.591 -0.418 0 0 14.591 -0.418 14.148 0.884 2013 8 15.450 0.394 0 0 15.450 0.394 14.205 0.895 2013 9 13.124 0.841 0 0 13.124 0.841 11.051 0.514 2013 10 10.181 1.812 0 0 10.181 1.812 8.091 1.468 2013 11 7.972 3.905 1 0 NaN NaN NaN NaN