% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 15955 % Primary Name: CAPE SPARTIVENTO % Record Type: TAVG % Country: Italy % Latitude: 37.91700 +/- 0.00050 % Longitude: 16.06700 +/- 0.00050 % Elevation (m): 17.00 +/- 0.05 % # of Months: 38 % % IDs: gsod - 164690-99999 % usaf - 164690 % % Sources: Global Summary of the Day % % Site Hash: 72d193bbe283858c2de7653902641b2e % Raw Data Hash: c9bff395a25ef37149918029c1634f7c % Adj Data Hash: 276a456d1df670504ae2a5925fda2639 % % 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 2004 7 NaN NaN NaN NaN NaN NaN 24.909 0.924 2004 8 NaN NaN NaN NaN NaN NaN 25.915 1.140 2004 9 NaN NaN NaN NaN NaN NaN 22.497 -0.134 2004 10 NaN NaN NaN NaN NaN NaN 20.657 1.917 2004 11 NaN NaN NaN NaN NaN NaN 15.662 0.018 2004 12 NaN NaN NaN NaN NaN NaN 14.067 1.251 2005 1 NaN NaN NaN NaN NaN NaN 10.519 -0.687 2005 2 NaN NaN NaN NaN NaN NaN 9.598 -1.544 2005 3 NaN NaN NaN NaN NaN NaN 11.865 -0.029 2005 4 NaN NaN NaN NaN NaN NaN 13.158 -0.361 2005 5 NaN NaN NaN NaN NaN NaN 18.788 1.539 2005 6 NaN NaN NaN NaN NaN NaN 21.791 0.587 2005 7 28.330 4.310 1 0 NaN NaN 25.070 1.086 2005 8 25.303 0.492 0 0 25.303 0.492 24.730 -0.046 2005 9 23.437 0.771 0 0 23.437 0.771 22.780 0.150 2005 10 19.319 0.544 0 0 19.319 0.544 18.731 -0.009 2005 11 16.143 0.464 0 0 16.143 0.464 15.710 0.067 2005 12 10.291 -2.560 1 0 NaN NaN 12.369 -0.447 2006 1 9.896 -1.345 0 0 9.896 -1.345 10.448 -0.758 2006 2 11.018 -0.159 0 0 11.018 -0.159 11.117 -0.025 2006 3 12.587 0.658 0 0 12.587 0.658 12.121 0.227 2006 4 15.930 2.375 0 0 15.930 2.375 14.860 1.341 2006 5 17.362 0.078 1 0 NaN NaN 19.095 1.846 2006 6 NaN NaN NaN NaN NaN NaN 22.046 0.842 2006 7 25.424 1.404 1 0 NaN NaN 24.928 0.943 2006 8 26.713 1.903 0 0 26.713 1.903 25.562 0.786 2006 9 23.748 1.083 0 0 23.748 1.083 22.735 0.105 2006 10 20.247 1.472 0 0 20.247 1.472 19.305 0.565 2006 11 15.765 0.086 0 0 15.765 0.086 15.229 -0.414 2006 12 13.862 1.011 0 0 13.862 1.011 13.898 1.082 2007 1 13.376 2.136 0 0 13.376 2.136 12.961 1.756 2007 2 12.571 1.394 0 0 12.571 1.394 12.701 1.559 2007 3 12.002 0.073 0 0 12.002 0.073 12.938 1.044 2007 4 15.107 1.553 0 0 15.107 1.553 14.860 1.341 2007 5 20.081 2.797 0 0 20.081 2.797 18.573 1.324 2007 6 24.024 2.785 0 0 24.024 2.785 23.017 1.813 2007 7 27.591 3.571 0 0 27.591 3.571 25.547 1.563 2007 8 27.041 2.231 0 0 27.041 2.231 26.338 1.562 2007 9 23.124 0.458 0 0 23.124 0.458 22.555 -0.075 2007 10 19.066 0.290 1 0 NaN NaN 18.835 0.095 2007 11 14.252 -1.427 0 0 14.252 -1.427 15.038 -0.606 2007 12 9.009 -3.842 0 0 9.009 -3.842 12.010 -0.806 2008 1 9.357 -1.884 0 0 9.357 -1.884 12.456 1.250 2008 2 6.778 -4.399 0 0 6.778 -4.399 11.135 -0.007 2008 3 10.593 -1.336 0 0 10.593 -1.336 13.066 1.172 2008 4 13.270 -0.284 0 0 13.270 -0.284 14.419 0.900 2008 5 18.593 1.309 0 0 18.593 1.309 18.373 1.124 2008 6 23.943 2.703 0 0 23.943 2.703 22.448 1.244 2008 7 26.661 2.641 0 0 26.661 2.641 25.420 1.435 2008 8 27.470 2.659 0 0 27.470 2.659 26.604 1.828 2008 9 27.089 4.424 1 0 NaN NaN 22.759 0.129 2008 10 NaN NaN NaN NaN NaN NaN 19.256 0.516 2008 11 NaN NaN NaN NaN NaN NaN 16.652 1.009 2008 12 NaN NaN NaN NaN NaN NaN 13.447 0.631 2009 1 NaN NaN NaN NaN NaN NaN 12.841 1.636 2009 2 NaN NaN NaN NaN NaN NaN 10.393 -0.749 2009 3 NaN NaN NaN NaN NaN NaN 12.239 0.345 2009 4 NaN NaN NaN NaN NaN NaN 14.365 0.846 2009 5 NaN NaN NaN NaN NaN NaN 19.436 2.187 2009 6 NaN NaN NaN NaN NaN NaN 22.198 0.994 2009 7 NaN NaN NaN NaN NaN NaN 25.560 1.575 2009 8 NaN NaN NaN NaN NaN NaN 26.851 2.076 2009 9 NaN NaN NaN NaN NaN NaN 23.264 0.634