% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 157221 % Primary Name: JUVVASSHOE % Record Type: TAVG % Country: Norway % Latitude: 61.67221 +/- 0.00571 % Longitude: 8.36971 +/- 0.00321 % Elevation (m): 1894.00 +/- 0.05 % # of Months: 29 % % IDs: gsod - 013620-99999 % usaf - 13620 % wmo - 1362 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: aa96e6245d6aec3d3ca21e05362d068d % Raw Data Hash: 29c8865e385c1297e746957fc9ab625a % Adj Data Hash: d343f52c1e67e4ac1b9f2da36b08c42a % % 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 2008 6 NaN NaN NaN NaN NaN NaN 8.237 0.347 2008 7 NaN NaN NaN NaN NaN NaN 11.474 2.041 2008 8 NaN NaN NaN NaN NaN NaN 8.894 0.171 2008 9 NaN NaN NaN NaN NaN NaN 4.778 0.362 2008 10 NaN NaN NaN NaN NaN NaN 0.386 0.805 2008 11 NaN NaN NaN NaN NaN NaN -4.461 1.367 2008 12 NaN NaN NaN NaN NaN NaN -8.171 0.984 2009 1 NaN NaN NaN NaN NaN NaN -8.080 2.990 2009 2 NaN NaN NaN NaN NaN NaN -11.087 -0.432 2009 3 NaN NaN NaN NaN NaN NaN -4.510 2.177 2009 4 NaN NaN NaN NaN NaN NaN 1.640 3.994 2009 5 NaN NaN NaN NaN NaN NaN 5.162 1.661 2009 6 9.204 5.341 1 0 NaN NaN 7.971 0.080 2009 7 3.167 -2.240 0 0 3.167 -2.240 10.500 1.066 2009 8 NaN NaN NaN NaN NaN NaN 9.423 0.700 2009 9 NaN NaN NaN NaN NaN NaN 5.368 0.952 2009 10 NaN NaN NaN NaN NaN NaN -2.197 -1.778 2009 11 NaN NaN NaN NaN NaN NaN -3.617 2.211 2009 12 NaN NaN NaN NaN NaN NaN -10.467 -1.312 2010 1 NaN NaN NaN NaN NaN NaN -15.163 -4.094 2010 2 NaN NaN NaN NaN NaN NaN -14.380 -3.725 2010 3 NaN NaN NaN NaN NaN NaN -5.217 1.470 2010 4 NaN NaN NaN NaN NaN NaN -1.348 1.006 2010 5 NaN NaN NaN NaN NaN NaN 3.087 -0.414 2010 6 NaN NaN NaN NaN NaN NaN 7.516 -0.375 2010 7 NaN NaN NaN NaN NaN NaN 10.647 1.213 2010 8 NaN NaN NaN NaN NaN NaN 9.743 1.020 2010 9 NaN NaN NaN NaN NaN NaN 4.245 -0.171 2010 10 NaN NaN NaN NaN NaN NaN 0.020 0.439 2010 11 NaN NaN NaN NaN NaN NaN -10.285 -4.457 2010 12 NaN NaN NaN NaN NaN NaN -14.702 -5.547 2011 1 NaN NaN NaN NaN NaN NaN -9.096 1.974 2011 2 NaN NaN NaN NaN NaN NaN -11.260 -0.606 2011 3 NaN NaN NaN NaN NaN NaN -5.722 0.965 2011 4 NaN NaN NaN NaN NaN NaN 2.086 4.440 2011 5 NaN NaN NaN NaN NaN NaN 4.596 1.095 2011 6 NaN NaN NaN NaN NaN NaN 8.841 0.950 2011 7 NaN NaN NaN NaN NaN NaN 10.487 1.053 2011 8 NaN NaN NaN NaN NaN NaN 9.474 0.751 2011 9 7.259 6.870 1 0 NaN NaN 6.118 1.702 2011 10 -2.152 2.294 0 2 -2.152 2.294 1.414 1.832 2011 11 -1.387 8.468 0 0 -1.387 8.468 -1.093 4.735 2011 12 -9.541 3.642 0 0 -9.541 3.642 -6.517 2.638 2012 1 -10.367 4.730 0 0 -10.367 4.730 -9.594 1.476 2012 2 -9.210 5.472 1 0 NaN NaN -8.670 1.984 2012 3 -5.416 5.299 0 0 -5.416 5.299 -1.528 5.159 2012 4 -8.996 -2.615 0 0 -8.996 -2.615 -3.052 -0.698 2012 5 -2.597 -2.071 0 0 -2.597 -2.071 3.617 0.116 2012 6 -0.031 -3.895 0 0 -0.031 -3.895 6.545 -1.346 2012 7 3.557 -1.849 0 0 3.557 -1.849 8.707 -0.727 2012 8 3.708 -0.987 1 0 NaN NaN 9.064 0.342 2012 9 -1.683 -2.072 0 0 -1.683 -2.072 3.301 -1.116 2012 10 -6.441 -1.995 0 0 -6.441 -1.995 -1.791 -1.373 2012 11 -6.817 3.039 0 0 -6.817 3.039 -3.318 2.510 2012 12 -13.396 -0.213 0 0 -13.396 -0.213 -12.161 -3.005 2013 1 -9.817 5.280 0 0 -9.817 5.280 -12.182 -1.112 2013 2 -9.915 4.766 1 0 NaN NaN -11.122 -0.468 2013 3 -13.315 -2.601 0 0 -13.315 -2.601 -9.729 -3.042 2013 4 -8.774 -2.393 0 0 -8.774 -2.393 -3.070 -0.717 2013 5 -0.177 0.349 0 0 -0.177 0.349 5.758 2.257 2013 6 1.950 -1.913 0 0 1.950 -1.913 8.034 0.143 2013 7 5.996 0.590 0 0 5.996 0.590 10.468 1.034 2013 8 3.772 -0.923 0 0 3.772 -0.923 9.076 0.353 2013 9 0.924 0.535 0 0 0.924 0.535 5.180 0.764 2013 10 -1.278 3.168 0 0 -1.278 3.168 1.248 1.666 2013 11 -6.532 3.324 1 0 NaN NaN NaN NaN