% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 5768 % Primary Name: CASCAVEL % Record Type: TAVG % Country: Brazil % Latitude: -25.00000 +/- 0.05000 % Longitude: -53.50000 +/- 0.05000 % Elevation (m): 754.00 +/- 0.05 % # of Months: 61 % % IDs: gsod - 836726-99999 % icao - SBCA % usaf - 836726 % % Sources: Global Summary of the Day % % Site Hash: 4c49e6b0c17449b16deb917ea6e7d02f % Raw Data Hash: 0dad31060157d5cf82ddee3a582e0541 % Adj Data Hash: e2abcb91195af8aca5c23ee28aeee6fd % % 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 2006 7 NaN NaN NaN NaN NaN NaN 19.137 2.678 2006 8 NaN NaN NaN NaN NaN NaN 19.202 1.286 2006 9 NaN NaN NaN NaN NaN NaN 19.191 -0.195 2006 10 NaN NaN NaN NaN NaN NaN 23.176 2.303 2006 11 NaN NaN NaN NaN NaN NaN 23.297 0.736 2006 12 NaN NaN NaN NaN NaN NaN 25.195 1.535 2007 1 NaN NaN NaN NaN NaN NaN 24.258 0.140 2007 2 NaN NaN NaN NaN NaN NaN 24.537 0.303 2007 3 NaN NaN NaN NaN NaN NaN 25.007 1.435 2007 4 NaN NaN NaN NaN NaN NaN 22.081 1.725 2007 5 NaN NaN NaN NaN NaN NaN 16.904 -0.805 2007 6 NaN NaN NaN NaN NaN NaN 17.631 1.362 2007 7 12.411 -3.478 1 0 NaN NaN 15.318 -1.142 2007 8 20.778 3.433 1 0 NaN NaN 18.239 0.324 2007 9 NaN NaN NaN NaN NaN NaN 22.984 3.598 2007 10 22.027 1.723 1 0 NaN NaN 22.759 1.886 2007 11 NaN NaN NaN NaN NaN NaN 22.534 -0.027 2007 12 NaN NaN NaN NaN NaN NaN 24.533 0.873 2008 1 NaN NaN NaN NaN NaN NaN 24.087 -0.032 2008 2 NaN NaN NaN NaN NaN NaN 24.081 -0.153 2008 3 NaN NaN NaN NaN NaN NaN 23.869 0.298 2008 4 NaN NaN NaN NaN NaN NaN 20.439 0.083 2008 5 NaN NaN NaN NaN NaN NaN 17.344 -0.364 2008 6 NaN NaN NaN NaN NaN NaN 15.810 -0.459 2008 7 NaN NaN NaN NaN NaN NaN 19.097 2.637 2008 8 NaN NaN NaN NaN NaN NaN 19.571 1.656 2008 9 NaN NaN NaN NaN NaN NaN 18.731 -0.655 2008 10 22.087 1.784 1 0 NaN NaN 22.302 1.428 2008 11 22.921 0.930 1 0 NaN NaN 23.120 0.559 2008 12 23.031 -0.060 1 0 NaN NaN 24.429 0.769 2009 1 22.986 -0.563 0 0 22.986 -0.563 23.413 -0.706 2009 2 24.032 0.368 0 0 24.032 0.368 24.540 0.306 2009 3 24.597 1.595 0 0 24.597 1.595 24.993 1.422 2009 4 22.816 3.030 0 0 22.816 3.030 22.341 1.985 2009 5 18.790 1.652 0 0 18.790 1.652 19.113 1.405 2009 6 13.955 -1.745 0 0 13.955 -1.745 14.807 -1.462 2009 7 15.338 -0.551 0 0 15.338 -0.551 15.480 -0.979 2009 8 17.491 0.145 1 0 NaN NaN 18.783 0.868 2009 9 18.164 -0.652 0 0 18.164 -0.652 19.455 0.069 2009 10 20.511 0.207 1 0 NaN NaN 21.541 0.667 2009 11 24.737 2.746 0 0 24.737 2.746 25.186 2.625 2009 12 24.220 1.130 0 0 24.220 1.130 24.532 0.872 2010 1 24.345 0.796 0 0 24.345 0.796 24.773 0.654 2010 2 25.635 1.972 1 0 NaN NaN 25.358 1.124 2010 3 23.829 0.827 0 0 23.829 0.827 24.320 0.749 2010 4 20.404 0.618 0 0 20.404 0.618 20.651 0.294 2010 5 15.593 -1.545 0 0 15.593 -1.545 16.734 -0.974 2010 6 17.354 1.655 0 0 17.354 1.655 17.875 1.606 2010 7 15.683 -0.206 0 0 15.683 -0.206 16.776 0.316 2010 8 17.835 0.490 0 0 17.835 0.490 18.197 0.282 2010 9 20.034 1.218 0 0 20.034 1.218 20.493 1.106 2010 10 19.548 -0.756 1 0 NaN NaN 20.245 -0.629 2010 11 21.095 -0.896 0 0 21.095 -0.896 22.167 -0.394 2010 12 22.198 -0.892 0 0 22.198 -0.892 23.365 -0.295 2011 1 23.966 0.417 0 0 23.966 0.417 24.743 0.624 2011 2 22.569 -1.095 0 0 22.569 -1.095 24.075 -0.159 2011 3 22.964 -0.037 0 0 22.964 -0.037 23.852 0.280 2011 4 21.227 1.441 0 0 21.227 1.441 21.307 0.951 2011 5 17.315 0.177 0 0 17.315 0.177 17.983 0.274 2011 6 15.293 -0.406 0 0 15.293 -0.406 16.035 -0.234 2011 7 16.271 0.382 1 0 NaN NaN 17.150 0.690 2011 8 NaN NaN NaN NaN NaN NaN 18.297 0.381 2011 9 NaN NaN NaN NaN NaN NaN 20.237 0.851 2011 10 NaN NaN NaN NaN NaN NaN 21.998 1.125 2011 11 22.736 0.745 1 0 NaN NaN 22.502 -0.059 2011 12 24.030 0.940 1 0 NaN NaN 24.230 0.569 2012 1 23.564 0.015 0 0 23.564 0.015 24.518 0.399 2012 2 24.998 1.334 0 0 24.998 1.334 25.790 1.556 2012 3 23.683 0.682 0 0 23.683 0.682 24.247 0.675 2012 4 20.619 0.833 0 0 20.619 0.833 20.750 0.394 2012 5 18.091 0.953 0 0 18.091 0.953 18.527 0.819 2012 6 16.435 0.736 0 0 16.435 0.736 17.187 0.917 2012 7 16.185 0.296 0 0 16.185 0.296 16.630 0.171 2012 8 21.065 3.719 0 0 21.065 3.719 21.384 3.469 2012 9 22.022 3.206 0 0 22.022 3.206 22.334 2.948 2012 10 22.911 2.607 0 0 22.911 2.607 23.367 2.493 2012 11 23.869 1.878 0 0 23.869 1.878 24.269 1.708 2012 12 26.679 3.588 1 0 NaN NaN 25.675 2.014 2013 1 NaN NaN NaN NaN NaN NaN 24.653 0.534 2013 2 24.181 0.517 0 0 24.181 0.517 24.386 0.153 2013 3 22.125 -0.876 0 0 22.125 -0.876 23.059 -0.513 2013 4 20.822 1.036 0 0 20.822 1.036 20.647 0.291 2013 5 18.093 0.955 0 0 18.093 0.955 18.640 0.932 2013 6 16.678 0.979 0 0 16.678 0.979 17.617 1.348 2013 7 16.106 0.216 0 0 16.106 0.216 16.701 0.242 2013 8 16.486 -0.859 0 0 16.486 -0.859 17.160 -0.756 2013 9 19.459 0.643 0 0 19.459 0.643 20.266 0.880 2013 10 21.778 1.474 0 0 21.778 1.474 22.043 1.170 2013 11 22.029 0.039 1 0 NaN NaN NaN NaN