% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 137796 % Primary Name: PUNTA MARINA % Record Type: TAVG % Country: Italy % Latitude: 44.46700 +/- 0.00050 % Longitude: 12.28300 +/- 0.00050 % Elevation (m): 6.00 +/- 0.05 % # of Months: 44 % % IDs: gsod - 161450-99999 % usaf - 161450 % % Sources: Global Summary of the Day % % Site Hash: cc823f0889d4a754d122ecaf9e1745de % Raw Data Hash: 87bf1d833a860fba1d6f3e6b14b32765 % Adj Data Hash: 81357064a12d5bc22f0e9aa02364b28b % % 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 22.971 0.689 2004 8 NaN NaN NaN NaN NaN NaN 23.246 1.410 2004 9 NaN NaN NaN NaN NaN NaN 19.107 0.723 2004 10 NaN NaN NaN NaN NaN NaN 15.460 2.316 2004 11 NaN NaN NaN NaN NaN NaN 9.215 0.925 2004 12 NaN NaN NaN NaN NaN NaN 6.309 1.779 2005 1 NaN NaN NaN NaN NaN NaN 3.484 -0.000 2005 2 NaN NaN NaN NaN NaN NaN 2.855 -2.047 2005 3 NaN NaN NaN NaN NaN NaN 7.834 0.288 2005 4 NaN NaN NaN NaN NaN NaN 10.920 -0.005 2005 5 NaN NaN NaN NaN NaN NaN 17.522 2.010 2005 6 NaN NaN NaN NaN NaN NaN 21.353 1.812 2005 7 26.741 4.489 1 0 NaN NaN 23.330 1.048 2005 8 21.125 -0.681 0 0 21.125 -0.681 21.152 -0.684 2005 9 19.167 0.813 0 0 19.167 0.813 18.569 0.184 2005 10 13.905 0.791 0 0 13.905 0.791 13.519 0.374 2005 11 8.274 0.014 0 0 8.274 0.014 8.221 -0.069 2005 12 2.813 -1.686 1 0 NaN NaN 3.607 -0.923 2006 1 1.935 -1.518 0 0 1.935 -1.518 2.693 -0.791 2006 2 4.552 -0.320 0 0 4.552 -0.320 4.991 0.088 2006 3 7.287 -0.228 0 0 7.287 -0.228 7.353 -0.193 2006 4 12.069 1.174 0 0 12.069 1.174 12.158 1.233 2006 5 16.219 0.738 1 0 NaN NaN 16.606 1.095 2006 6 20.785 1.274 0 0 20.785 1.274 20.707 1.166 2006 7 24.772 2.521 0 0 24.772 2.521 24.904 2.622 2006 8 21.025 -0.780 0 0 21.025 -0.780 20.862 -0.973 2006 9 19.880 1.526 0 0 19.880 1.526 19.714 1.329 2006 10 15.441 2.327 0 0 15.441 2.327 15.242 2.098 2006 11 9.469 1.209 1 0 NaN NaN 10.055 1.764 2006 12 5.731 1.232 0 0 5.731 1.232 6.685 2.155 2007 1 5.570 2.116 0 0 5.570 2.116 7.143 3.659 2007 2 7.050 2.178 0 0 7.050 2.178 7.845 2.943 2007 3 9.968 2.452 0 0 9.968 2.452 9.354 1.808 2007 4 14.367 3.472 0 0 14.367 3.472 14.556 3.630 2007 5 17.982 2.501 0 0 17.982 2.501 17.781 2.269 2007 6 21.713 2.202 0 0 21.713 2.202 20.593 1.052 2007 7 24.045 1.793 0 0 24.045 1.793 23.638 1.356 2007 8 22.013 0.207 0 0 22.013 0.207 21.835 -0.001 2007 9 17.589 -0.765 0 0 17.589 -0.765 17.539 -0.846 2007 10 14.914 1.800 1 0 NaN NaN 13.274 0.129 2007 11 7.397 -0.863 0 0 7.397 -0.863 7.865 -0.425 2007 12 4.061 -0.439 0 0 4.061 -0.439 4.322 -0.208 2008 1 5.007 1.554 0 0 5.007 1.554 6.300 2.816 2008 2 5.002 0.130 0 0 5.002 0.130 6.315 1.413 2008 3 8.625 1.110 0 0 8.625 1.110 8.581 1.035 2008 4 12.135 1.240 0 0 12.135 1.240 11.359 0.434 2008 5 16.787 1.306 0 0 16.787 1.306 16.647 1.135 2008 6 20.757 1.247 0 0 20.757 1.247 20.604 1.063 2008 7 23.548 1.297 0 0 23.548 1.297 23.312 1.029 2008 8 23.482 1.677 0 0 23.482 1.677 23.498 1.662 2008 9 18.480 0.126 0 0 18.480 0.126 17.932 -0.453 2008 10 15.509 2.395 0 0 15.509 2.395 14.737 1.593 2008 11 10.476 2.216 0 0 10.476 2.216 9.242 0.951 2008 12 1.912 -2.588 1 0 NaN NaN 4.924 0.394 2009 1 3.211 -0.243 0 0 3.211 -0.243 4.078 0.594 2009 2 5.466 0.594 1 0 NaN NaN 5.127 0.224 2009 3 NaN NaN NaN NaN NaN NaN 8.657 1.111 2009 4 NaN NaN NaN NaN NaN NaN 12.497 1.572 2009 5 NaN NaN NaN NaN NaN NaN 18.926 3.414 2009 6 NaN NaN NaN NaN NaN NaN 20.456 0.914 2009 7 NaN NaN NaN NaN NaN NaN 23.699 1.416 2009 8 NaN NaN NaN NaN NaN NaN 24.834 2.999 2009 9 NaN NaN NaN NaN NaN NaN 19.929 1.545 2009 10 NaN NaN NaN NaN NaN NaN 13.398 0.253 2009 11 NaN NaN NaN NaN NaN NaN 10.165 1.874 2009 12 NaN NaN NaN NaN NaN NaN 4.535 0.005 2010 1 NaN NaN NaN NaN NaN NaN 3.114 -0.370 2010 2 NaN NaN NaN NaN NaN NaN 5.125 0.223