% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 19890 % Primary Name: ISABEL SEGUNDA / VIE % Record Type: TAVG % Country: Puerto Rico [United States] % Latitude: 18.15000 +/- 0.00050 % Longitude: -65.43300 +/- 0.00050 % Elevation (m): 6.00 +/- 0.05 % # of Months: 42 % % IDs: gsod - 998257-99999 % icao - VQSP4 % usaf - 998257 % % Sources: Global Summary of the Day % % Site Hash: 45885c50b69cbbb281c0369641ac0b06 % Raw Data Hash: 6cd89f1adc8859e792532511d5494173 % Adj Data Hash: 0ad12b237453f53d184e7a049c5e776c % % 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 4 NaN NaN NaN NaN NaN NaN 24.910 0.131 2008 5 NaN NaN NaN NaN NaN NaN 26.507 0.530 2008 6 NaN NaN NaN NaN NaN NaN 27.608 0.783 2008 7 NaN NaN NaN NaN NaN NaN 27.746 0.738 2008 8 NaN NaN NaN NaN NaN NaN 28.142 1.040 2008 9 NaN NaN NaN NaN NaN NaN 27.208 0.274 2008 10 NaN NaN NaN NaN NaN NaN 26.809 0.394 2008 11 NaN NaN NaN NaN NaN NaN 26.074 0.493 2008 12 NaN NaN NaN NaN NaN NaN 24.388 0.162 2009 1 NaN NaN NaN NaN NaN NaN 24.361 0.821 2009 2 NaN NaN NaN NaN NaN NaN 24.119 0.515 2009 3 NaN NaN NaN NaN NaN NaN 23.757 -0.353 2009 4 26.137 0.788 1 0 NaN NaN 25.037 0.259 2009 5 26.672 0.125 0 0 26.659 0.112 25.942 -0.035 2009 6 27.522 0.127 0 0 27.509 0.114 27.263 0.438 2009 7 29.594 2.016 1 0 NaN NaN 28.201 1.192 2009 8 28.726 1.054 0 0 28.713 1.041 28.122 1.020 2009 9 28.181 0.677 0 0 28.168 0.664 27.748 0.814 2009 10 28.335 1.350 0 0 28.322 1.337 27.620 1.205 2009 11 27.241 1.089 0 0 27.228 1.076 26.605 1.023 2009 12 26.738 1.942 0 0 26.725 1.929 25.794 1.568 2010 1 25.677 1.568 0 0 25.664 1.555 24.732 1.193 2010 2 25.927 1.752 0 0 25.914 1.739 25.424 1.819 2010 3 26.667 1.986 0 0 26.654 1.973 26.118 2.007 2010 4 26.783 1.435 0 0 26.770 1.422 26.015 1.236 2010 5 27.762 1.215 0 0 27.749 1.202 27.145 1.169 2010 6 28.640 1.245 1 0 NaN NaN 27.725 0.900 2010 7 NaN NaN NaN NaN NaN NaN 27.819 0.811 2010 8 28.836 1.165 1 0 NaN NaN 28.236 1.135 2010 9 28.394 0.889 1 0 NaN NaN 27.822 0.887 2010 10 NaN NaN NaN NaN NaN NaN 27.102 0.687 2010 11 NaN NaN NaN NaN NaN NaN 25.856 0.274 2010 12 NaN NaN NaN NaN NaN NaN 24.029 -0.197 2011 1 NaN NaN NaN NaN NaN NaN 24.333 0.794 2011 2 NaN NaN NaN NaN NaN NaN 24.512 0.907 2011 3 NaN NaN NaN NaN NaN NaN 24.269 0.159 2011 4 NaN NaN NaN NaN NaN NaN 25.192 0.414 2011 5 NaN NaN NaN NaN NaN NaN 25.949 -0.027 2011 6 NaN NaN NaN NaN NaN NaN 27.630 0.806 2011 7 28.440 0.862 1 0 NaN NaN 27.268 0.260 2011 8 28.145 0.474 0 2 28.154 0.482 27.668 0.566 2011 9 27.994 0.489 1 0 NaN NaN 27.524 0.590 2011 10 NaN NaN NaN NaN NaN NaN 27.292 0.876 2011 11 NaN NaN NaN NaN NaN NaN 26.229 0.647 2011 12 NaN NaN NaN NaN NaN NaN 24.754 0.528 2012 1 25.154 1.045 1 0 NaN NaN 24.022 0.483 2012 2 25.280 1.105 0 0 25.289 1.114 24.321 0.717 2012 3 25.353 0.673 0 0 25.362 0.681 24.557 0.447 2012 4 25.900 0.551 0 0 25.909 0.560 25.373 0.594 2012 5 26.674 0.127 0 0 26.683 0.136 26.436 0.460 2012 6 28.053 0.658 0 0 28.062 0.667 28.143 1.319 2012 7 NaN NaN NaN NaN NaN NaN 27.695 0.686 2012 8 28.367 0.696 1 0 NaN NaN 27.772 0.671 2012 9 28.376 0.871 0 0 28.385 0.880 27.894 0.959 2012 10 28.097 1.111 0 0 28.106 1.120 27.590 1.175 2012 11 27.530 1.378 0 0 27.538 1.386 26.855 1.273 2012 12 25.240 0.444 1 0 NaN NaN 25.013 0.787 2013 1 25.428 1.319 1 0 NaN NaN 24.396 0.857 2013 2 25.228 1.054 0 0 25.237 1.062 24.432 0.827 2013 3 25.251 0.570 0 0 25.260 0.579 24.824 0.714 2013 4 26.337 0.988 0 0 26.346 0.997 25.548 0.770 2013 5 27.039 0.493 0 0 27.048 0.502 26.437 0.460 2013 6 27.376 -0.019 0 0 27.385 -0.010 27.102 0.278 2013 7 27.889 0.311 0 0 27.898 0.319 27.233 0.225 2013 8 28.382 0.710 0 0 28.390 0.719 27.875 0.774 2013 9 28.007 0.503 0 0 28.016 0.512 27.738 0.803 2013 10 27.864 0.878 0 0 27.873 0.887 27.355 0.940 2013 11 26.267 0.115 1 0 NaN NaN NaN NaN