% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 175266 % Primary Name: HAPARANDA_A % Record Type: TAVG % Country: Sweden % Latitude: 65.81970 +/- 0.00005 % Longitude: 24.12000 +/- 0.00005 % Elevation (m): 16.00 +/- 0.50 % # of Months: 38 % % IDs: ghcnd - SWE00140622 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 489bf09c6004f7816dae425f802e2e9b % Raw Data Hash: 01e00d0385912492bed133b23f5cd1e1 % Adj Data Hash: af675b24c32fb5246ebf922b799f0c1a % % 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 2007 11 NaN NaN NaN NaN NaN NaN -1.323 0.925 2007 12 NaN NaN NaN NaN NaN NaN 0.064 7.035 2008 1 NaN NaN NaN NaN NaN NaN -4.027 6.091 2008 2 NaN NaN NaN NaN NaN NaN -4.978 5.963 2008 3 NaN NaN NaN NaN NaN NaN -4.671 1.917 2008 4 NaN NaN NaN NaN NaN NaN 1.215 2.304 2008 5 NaN NaN NaN NaN NaN NaN 5.996 0.732 2008 6 NaN NaN NaN NaN NaN NaN 11.329 -0.170 2008 7 NaN NaN NaN NaN NaN NaN 13.797 -0.616 2008 8 NaN NaN NaN NaN NaN NaN 11.879 -1.402 2008 9 NaN NaN NaN NaN NaN NaN 7.311 -1.138 2008 10 NaN NaN NaN NaN NaN NaN 5.236 2.278 2008 11 -3.500 -0.765 0 0 -3.500 -0.765 -0.137 2.110 2008 12 -2.182 5.276 0 0 -2.182 5.276 -0.731 6.240 2009 1 -8.027 2.579 0 0 -8.027 2.579 -7.240 2.878 2009 2 -10.627 0.801 0 0 -10.627 0.801 -10.192 0.749 2009 3 -4.810 2.267 0 0 -4.810 2.267 -4.625 1.964 2009 4 -0.208 1.368 0 0 -0.208 1.368 -0.022 1.067 2009 5 8.139 3.363 0 0 8.139 3.363 7.714 2.450 2009 6 12.128 1.117 0 0 12.128 1.117 11.698 0.199 2009 7 15.284 1.358 0 0 15.284 1.358 14.343 -0.070 2009 8 14.700 1.907 0 0 14.700 1.907 14.591 1.310 2009 9 10.277 2.315 0 0 10.277 2.315 10.854 2.405 2009 10 -0.016 -2.486 0 0 -0.016 -2.486 1.337 -1.620 2009 11 -0.032 2.703 0 0 -0.032 2.703 1.450 3.697 2009 12 -8.779 -1.320 0 0 -8.779 -1.320 -7.326 -0.355 2010 1 -13.923 -3.316 0 0 -13.923 -3.316 -13.552 -3.433 2010 2 -14.916 -3.488 0 0 -14.916 -3.488 -14.111 -3.170 2010 3 -7.471 -0.395 0 0 -7.471 -0.395 -7.418 -0.829 2010 4 1.867 3.443 0 0 1.867 3.443 1.669 2.758 2010 5 10.137 5.361 0 0 10.137 5.361 9.299 4.036 2010 6 11.825 0.814 0 0 11.825 0.814 11.122 -0.377 2010 7 16.635 2.710 0 0 16.635 2.710 16.991 2.578 2010 8 13.040 0.248 0 0 13.040 0.248 13.151 -0.129 2010 9 8.987 1.025 0 0 8.987 1.025 9.078 0.629 2010 10 3.648 1.179 0 0 3.648 1.179 4.420 1.463 2010 11 -7.995 -5.260 0 0 -7.995 -5.260 -4.833 -2.586 2010 12 -12.721 -5.262 0 0 -12.721 -5.262 -12.208 -5.238 2011 1 -11.074 -0.468 0 0 -11.074 -0.468 -9.150 0.968 2011 2 -15.904 -4.475 0 0 -15.904 -4.475 -16.359 -5.418 2011 3 -5.247 1.829 0 0 -5.247 1.829 -4.552 2.036 2011 4 2.787 4.363 0 0 2.787 4.363 2.434 3.523 2011 5 6.977 2.202 0 0 6.977 2.202 6.800 1.536 2011 6 14.815 3.804 0 0 14.815 3.804 14.221 2.722 2011 7 17.463 3.537 0 0 17.463 3.537 17.027 2.614 2011 8 14.111 1.319 0 0 14.111 1.319 14.160 0.880 2011 9 10.837 2.875 0 0 10.837 2.875 11.007 2.558 2011 10 4.781 2.311 0 0 4.781 2.311 5.875 2.918 2011 11 1.462 4.197 0 0 1.462 4.197 3.007 5.255 2011 12 -0.844 6.615 0 0 -0.844 6.615 0.362 7.333 2012 1 NaN NaN NaN NaN NaN NaN -8.410 1.708 2012 2 NaN NaN NaN NaN NaN NaN -12.392 -1.451 2012 3 NaN NaN NaN NaN NaN NaN -2.572 4.017 2012 4 NaN NaN NaN NaN NaN NaN -0.308 0.781 2012 5 NaN NaN NaN NaN NaN NaN 6.242 0.979 2012 6 NaN NaN NaN NaN NaN NaN 11.015 -0.484 2012 7 NaN NaN NaN NaN NaN NaN 14.769 0.355 2012 8 NaN NaN NaN NaN NaN NaN 13.242 -0.039 2012 9 NaN NaN NaN NaN NaN NaN 9.118 0.669 2012 10 NaN NaN NaN NaN NaN NaN 3.631 0.674 2012 11 NaN NaN NaN NaN NaN NaN 1.092 3.340 2012 12 NaN NaN NaN NaN NaN NaN -11.134 -4.163