% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 159188 % Primary Name: POTTUVIL % Record Type: TAVG % Country: Sri Lanka % Latitude: 6.88300 +/- 0.00050 % Longitude: 81.83300 +/- 0.00050 % Elevation (m): 8.00 +/- 0.05 % # of Months: 53 % % IDs: gsod - 434750-99999 % usaf - 434750 % wmo - 43475 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 1217bcc88e4e3a50142d5bd0ccd9d9db % Raw Data Hash: b9249d7359134e41db29caf770f70d28 % Adj Data Hash: d555da2a1cf841caafacd8c58e8beeac % % 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 2006 8 NaN NaN NaN NaN NaN NaN 29.011 0.184 2006 9 NaN NaN NaN NaN NaN NaN 28.530 0.168 2006 10 NaN NaN NaN NaN NaN NaN 27.924 0.489 2006 11 NaN NaN NaN NaN NaN NaN 27.403 0.664 2006 12 NaN NaN NaN NaN NaN NaN 26.553 0.628 2007 1 NaN NaN NaN NaN NaN NaN 26.125 0.508 2007 2 NaN NaN NaN NaN NaN NaN 26.583 0.384 2007 3 NaN NaN NaN NaN NaN NaN 27.723 0.414 2007 4 NaN NaN NaN NaN NaN NaN 28.287 0.003 2007 5 NaN NaN NaN NaN NaN NaN 29.836 0.609 2007 6 NaN NaN NaN NaN NaN NaN 29.714 0.292 2007 7 NaN NaN NaN NaN NaN NaN 29.315 0.155 2007 8 28.260 -0.998 1 0 NaN NaN 29.420 0.593 2007 9 NaN NaN NaN NaN NaN NaN 28.416 0.055 2007 10 NaN NaN NaN NaN NaN NaN 27.765 0.330 2007 11 NaN NaN NaN NaN NaN NaN 27.462 0.722 2007 12 NaN NaN NaN NaN NaN NaN 26.321 0.396 2008 1 NaN NaN NaN NaN NaN NaN 26.099 0.482 2008 2 NaN NaN NaN NaN NaN NaN 26.900 0.701 2008 3 NaN NaN NaN NaN NaN NaN 26.944 -0.366 2008 4 NaN NaN NaN NaN NaN NaN 28.006 -0.278 2008 5 NaN NaN NaN NaN NaN NaN 29.362 0.135 2008 6 NaN NaN NaN NaN NaN NaN 29.878 0.457 2008 7 NaN NaN NaN NaN NaN NaN 29.184 0.025 2008 8 NaN NaN NaN NaN NaN NaN 29.118 0.291 2008 9 NaN NaN NaN NaN NaN NaN 28.640 0.278 2008 10 NaN NaN NaN NaN NaN NaN 28.057 0.621 2008 11 NaN NaN NaN NaN NaN NaN 27.379 0.639 2008 12 NaN NaN NaN NaN NaN NaN 26.533 0.608 2009 1 NaN NaN NaN NaN NaN NaN 25.962 0.345 2009 2 NaN NaN NaN NaN NaN NaN 26.442 0.243 2009 3 NaN NaN NaN NaN NaN NaN 27.701 0.391 2009 4 NaN NaN NaN NaN NaN NaN 28.621 0.337 2009 5 NaN NaN NaN NaN NaN NaN 29.473 0.246 2009 6 NaN NaN NaN NaN NaN NaN 29.672 0.251 2009 7 NaN NaN NaN NaN NaN NaN 29.914 0.754 2009 8 28.171 -1.087 1 0 NaN NaN 29.718 0.891 2009 9 30.529 1.737 0 0 30.529 1.737 29.892 1.531 2009 10 28.862 0.996 1 0 NaN NaN 28.467 1.032 2009 11 27.341 0.171 1 0 NaN NaN 27.715 0.975 2009 12 26.888 0.533 1 0 NaN NaN 26.988 1.064 2010 1 27.044 0.996 0 0 27.044 0.996 26.365 0.748 2010 2 28.009 1.380 0 0 28.009 1.380 27.227 1.028 2010 3 29.436 1.695 0 0 29.436 1.695 28.549 1.239 2010 4 30.254 1.540 0 0 30.254 1.540 29.473 1.190 2010 5 30.287 0.629 0 0 30.287 0.629 30.209 0.982 2010 6 30.472 0.621 0 0 30.472 0.621 30.492 1.071 2010 7 30.345 0.755 0 0 30.345 0.755 29.893 0.733 2010 8 30.127 0.870 0 0 30.127 0.870 29.761 0.934 2010 9 28.867 0.075 0 0 28.867 0.075 28.949 0.588 2010 10 29.480 1.615 0 0 29.480 1.615 28.665 1.230 2010 11 27.950 0.780 0 0 27.950 0.780 27.412 0.673 2010 12 26.409 0.054 0 0 26.409 0.054 25.978 0.053 2011 1 25.685 -0.363 0 0 25.685 -0.363 25.181 -0.437 2011 2 26.607 -0.022 0 0 26.607 -0.022 26.087 -0.112 2011 3 28.059 0.319 0 0 28.059 0.319 27.409 0.099 2011 4 29.087 0.373 0 0 29.087 0.373 28.213 -0.070 2011 5 30.146 0.488 0 0 30.146 0.488 30.057 0.830 2011 6 30.871 1.020 0 0 30.871 1.020 30.793 1.372 2011 7 30.344 0.754 0 0 30.344 0.754 30.166 1.006 2011 8 29.835 0.578 0 0 29.835 0.578 29.760 0.933 2011 9 29.520 0.728 1 0 NaN NaN 29.368 1.006 2011 10 28.657 0.792 0 0 28.657 0.792 28.220 0.785 2011 11 27.928 0.758 0 0 27.928 0.758 27.500 0.761 2011 12 26.927 0.571 0 0 26.927 0.571 26.554 0.629 2012 1 27.367 1.320 0 0 27.367 1.320 26.496 0.879 2012 2 27.444 0.815 0 0 27.444 0.815 26.769 0.570 2012 3 28.996 1.256 0 0 28.996 1.256 27.956 0.646 2012 4 29.402 0.688 0 0 29.402 0.688 28.459 0.176 2012 5 30.819 1.161 0 0 30.819 1.161 30.506 1.278 2012 6 31.132 1.281 0 0 31.132 1.281 30.839 1.418 2012 7 30.611 1.021 0 0 30.611 1.021 30.571 1.412 2012 8 29.681 0.424 0 0 29.681 0.424 29.908 1.081 2012 9 29.617 0.825 0 0 29.617 0.825 29.783 1.421 2012 10 28.093 0.228 0 0 28.093 0.228 27.874 0.439 2012 11 27.978 0.808 0 0 27.978 0.808 27.436 0.696 2012 12 26.937 0.582 0 0 26.937 0.582 26.642 0.717 2013 1 26.523 0.476 0 0 26.523 0.476 26.073 0.455 2013 2 27.607 0.978 0 0 27.607 0.978 26.725 0.527 2013 3 29.100 1.360 0 0 29.100 1.360 28.055 0.745 2013 4 30.494 1.781 0 0 30.494 1.781 29.432 1.148 2013 5 30.289 0.631 0 0 30.289 0.631 30.145 0.917 2013 6 30.444 0.593 0 0 30.444 0.593 30.137 0.716 2013 7 29.928 0.338 0 0 29.928 0.338 29.819 0.659 2013 8 29.430 0.173 0 0 29.430 0.173 29.548 0.721 2013 9 29.817 1.025 0 0 29.817 1.025 29.373 1.011 2013 10 28.744 0.878 0 0 28.744 0.878 28.666 1.231 2013 11 28.425 1.255 1 0 NaN NaN NaN NaN