% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 22982 % Primary Name: CANOUAN % Record Type: TAVG % Country: St. Lucia, St. Vincent, and the Grenadines % Latitude: 12.70000 +/- 0.00050 % Longitude: -61.33300 +/- 0.00050 % Elevation (m): 3.00 +/- 0.05 % # of Months: 30 % % IDs: gsod - 789500-99999 % icao - TVSC % usaf - 789500 % % Sources: Global Summary of the Day % % Site Hash: eccc59899a439727d2c3e033b81b7e8e % Raw Data Hash: 13595c686d38f466bda3917d78e73687 % Adj Data Hash: cc1cabc4b14c02a8f7610f09de2d9946 % % 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 12 NaN NaN NaN NaN NaN NaN 26.548 0.263 2009 1 NaN NaN NaN NaN NaN NaN 26.661 0.709 2009 2 NaN NaN NaN NaN NaN NaN 26.474 0.427 2009 3 NaN NaN NaN NaN NaN NaN 26.586 0.060 2009 4 NaN NaN NaN NaN NaN NaN 27.151 0.154 2009 5 NaN NaN NaN NaN NaN NaN 28.124 0.514 2009 6 NaN NaN NaN NaN NaN NaN 28.066 0.671 2009 7 NaN NaN NaN NaN NaN NaN 28.082 0.793 2009 8 NaN NaN NaN NaN NaN NaN 28.411 0.837 2009 9 NaN NaN NaN NaN NaN NaN 28.562 0.872 2009 10 NaN NaN NaN NaN NaN NaN 28.141 0.785 2009 11 NaN NaN NaN NaN NaN NaN 28.108 1.061 2009 12 28.444 1.025 1 0 NaN NaN 27.485 1.200 2010 1 28.059 0.973 1 0 NaN NaN 27.236 1.284 2010 2 28.380 1.198 1 0 NaN NaN 27.704 1.657 2010 3 NaN NaN NaN NaN NaN NaN 28.650 2.124 2010 4 NaN NaN NaN NaN NaN NaN 28.385 1.388 2010 5 NaN NaN NaN NaN NaN NaN 28.824 1.214 2010 6 NaN NaN NaN NaN NaN NaN 28.635 1.240 2010 7 NaN NaN NaN NaN NaN NaN 28.288 0.999 2010 8 NaN NaN NaN NaN NaN NaN 28.627 1.053 2010 9 NaN NaN NaN NaN NaN NaN 28.334 0.643 2010 10 NaN NaN NaN NaN NaN NaN 28.142 0.787 2010 11 NaN NaN NaN NaN NaN NaN 27.860 0.813 2010 12 NaN NaN NaN NaN NaN NaN 26.958 0.673 2011 1 NaN NaN NaN NaN NaN NaN 26.890 0.939 2011 2 NaN NaN NaN NaN NaN NaN 26.711 0.664 2011 3 28.651 0.990 1 0 NaN NaN 26.709 0.182 2011 4 28.422 0.290 1 0 NaN NaN 27.098 0.101 2011 5 29.714 0.969 1 0 NaN NaN 28.566 0.956 2011 6 29.468 0.938 1 0 NaN NaN 28.557 1.161 2011 7 29.000 0.577 0 0 29.000 0.577 28.105 0.816 2011 8 29.805 1.097 1 0 NaN NaN 28.686 1.112 2011 9 29.654 0.829 1 0 NaN NaN 28.665 0.975 2011 10 29.097 0.607 1 0 NaN NaN 27.866 0.511 2011 11 28.806 0.624 1 0 NaN NaN 27.638 0.591 2011 12 28.379 0.960 0 0 28.379 0.960 26.962 0.677 2012 1 27.400 0.314 1 0 NaN NaN 26.669 0.717 2012 2 27.082 -0.099 1 0 NaN NaN 26.634 0.586 2012 3 27.658 -0.003 1 0 NaN NaN 26.922 0.396 2012 4 28.402 0.271 0 0 28.402 0.271 27.252 0.255 2012 5 28.508 -0.236 1 0 NaN NaN 27.859 0.248 2012 6 29.020 0.491 0 0 29.020 0.491 28.081 0.685 2012 7 29.101 0.677 1 0 NaN NaN 28.141 0.851 2012 8 NaN NaN NaN NaN NaN NaN 28.135 0.561 2012 9 30.626 1.801 1 0 NaN NaN 28.714 1.024 2012 10 29.603 1.113 0 0 29.603 1.113 28.333 0.977 2012 11 29.251 1.069 1 0 NaN NaN 28.283 1.235 2012 12 28.152 0.733 1 0 NaN NaN 27.177 0.892 2013 1 27.548 0.462 1 0 NaN NaN 26.657 0.705 2013 2 27.473 0.291 1 0 NaN NaN 27.012 0.965 2013 3 28.605 0.944 1 0 NaN NaN 27.770 1.243 2013 4 28.963 0.832 1 0 NaN NaN 27.447 0.450 2013 5 29.060 0.315 1 0 NaN NaN 28.137 0.527 2013 6 27.856 -0.673 1 0 NaN NaN 28.000 0.605 2013 7 NaN NaN NaN NaN NaN NaN 28.353 1.064 2013 8 NaN NaN NaN NaN NaN NaN 28.276 0.702 2013 9 NaN NaN NaN NaN NaN NaN 28.786 1.096 2013 10 NaN NaN NaN NaN NaN NaN 27.929 0.573