% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 3230 % Primary Name: VALLE DEL CONLARA % Record Type: TAVG % Country: Argentina % Latitude: -32.38300 +/- 0.00050 % Longitude: -65.18300 +/- 0.00050 % Elevation (m): 632.00 +/- 0.05 % # of Months: 16 % % IDs: gsod - 873290-99999 % icao - SAOS % usaf - 873290 % % Sources: Global Summary of the Day % % Site Hash: 208744753e1cbe1f4966d4ae5c47ff8a % Raw Data Hash: 11e263e5209be3077233ee0db53cb046 % Adj Data Hash: 5b1c2bee2dd242e5a3b113e57e9cd71d % % 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 2003 8 NaN NaN NaN NaN NaN NaN 12.355 -0.549 2003 9 NaN NaN NaN NaN NaN NaN 17.086 1.362 2003 10 NaN NaN NaN NaN NaN NaN 21.725 3.315 2003 11 NaN NaN NaN NaN NaN NaN 24.137 2.570 2003 12 NaN NaN NaN NaN NaN NaN 23.468 -0.027 2004 1 NaN NaN NaN NaN NaN NaN 26.464 2.002 2004 2 NaN NaN NaN NaN NaN NaN 22.831 -0.579 2004 3 NaN NaN NaN NaN NaN NaN 23.234 1.966 2004 4 NaN NaN NaN NaN NaN NaN 17.903 0.422 2004 5 NaN NaN NaN NaN NaN NaN 11.666 -2.792 2004 6 NaN NaN NaN NaN NaN NaN 11.440 0.596 2004 7 NaN NaN NaN NaN NaN NaN 11.036 0.137 2004 8 13.347 -0.519 0 0 13.347 -0.519 13.328 0.424 2004 9 18.360 1.675 0 0 18.360 1.675 17.252 1.529 2004 10 21.360 1.989 0 0 21.360 1.989 19.128 0.718 2004 11 24.252 1.723 0 0 24.252 1.723 21.023 -0.544 2004 12 25.101 0.645 1 0 NaN NaN 23.865 0.370 2005 1 26.484 1.060 0 0 26.484 1.060 25.059 0.597 2005 2 24.173 -0.199 1 0 NaN NaN 24.092 0.682 2005 3 22.418 0.188 0 0 22.418 0.188 21.301 0.034 2005 4 17.094 -1.348 0 0 17.094 -1.348 16.307 -1.174 2005 5 14.197 -1.222 0 0 14.197 -1.222 14.681 0.223 2005 6 12.774 0.968 0 0 12.774 0.968 11.931 1.087 2005 7 11.778 -0.084 0 0 11.778 -0.084 11.694 0.794 2005 8 13.652 -0.214 0 0 13.652 -0.214 13.224 0.320 2005 9 15.426 -1.259 0 0 15.426 -1.259 14.673 -1.051 2005 10 19.380 0.009 1 0 NaN NaN 18.385 -0.025 2005 11 NaN NaN NaN NaN NaN NaN 23.423 1.856 2005 12 NaN NaN NaN NaN NaN NaN 24.211 0.716 2006 1 NaN NaN NaN NaN NaN NaN 26.027 1.564 2006 2 NaN NaN NaN NaN NaN NaN 23.707 0.297 2006 3 NaN NaN NaN NaN NaN NaN 21.427 0.159 2006 4 NaN NaN NaN NaN NaN NaN 18.470 0.989 2006 5 13.692 -1.728 1 0 NaN NaN 14.106 -0.352 2006 6 NaN NaN NaN NaN NaN NaN 12.658 1.814 2006 7 NaN NaN NaN NaN NaN NaN 13.366 2.466 2006 8 NaN NaN NaN NaN NaN NaN 13.776 0.872 2006 9 NaN NaN NaN NaN NaN NaN 16.729 1.006 2006 10 NaN NaN NaN NaN NaN NaN 21.130 2.721 2006 11 NaN NaN NaN NaN NaN NaN 22.318 0.750 2006 12 NaN NaN NaN NaN NaN NaN 24.408 0.913 2007 1 NaN NaN NaN NaN NaN NaN 24.344 -0.118 2007 2 NaN NaN NaN NaN NaN NaN 23.150 -0.260 2007 3 NaN NaN NaN NaN NaN NaN 20.937 -0.331 2007 4 NaN NaN NaN NaN NaN NaN 18.082 0.602 2007 5 NaN NaN NaN NaN NaN NaN 12.058 -2.399