% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 154689 % Primary Name: BATA (RIO MUNI) % Record Type: TAVG % Country: Equatorial Guinea % Latitude: 1.90000 +/- 0.00833 % Longitude: 9.80000 +/- 0.00833 % Elevation (m): 8.00 +/- 0.05 % # of Months: 73 % % IDs: gsod - 648200-99999 % icao - FGBT % usaf - 648200 % wmo - 64820 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 43142e59691aa038a7efab1e40088e3d % Raw Data Hash: c4c09a159eaf3f4b7b057e09c8be858b % Adj Data Hash: 7bb66151de8fb2a21d9495b53ff7ecff % % 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 11 NaN NaN NaN NaN NaN NaN 25.669 0.667 2006 12 NaN NaN NaN NaN NaN NaN 26.230 0.850 2007 1 NaN NaN NaN NaN NaN NaN 26.159 0.361 2007 2 NaN NaN NaN NaN NaN NaN 27.275 1.084 2007 3 NaN NaN NaN NaN NaN NaN 27.558 1.536 2007 4 NaN NaN NaN NaN NaN NaN 26.284 0.611 2007 5 NaN NaN NaN NaN NaN NaN 26.446 1.024 2007 6 NaN NaN NaN NaN NaN NaN 24.742 0.393 2007 7 NaN NaN NaN NaN NaN NaN 24.443 0.944 2007 8 NaN NaN NaN NaN NaN NaN 24.771 1.124 2007 9 NaN NaN NaN NaN NaN NaN 25.127 0.772 2007 10 NaN NaN NaN NaN NaN NaN 25.047 0.615 2007 11 26.735 0.532 1 0 NaN NaN 25.491 0.489 2007 12 27.551 0.970 0 0 27.551 0.970 25.936 0.556 2008 1 27.695 0.696 1 0 NaN NaN 26.327 0.529 2008 2 28.474 1.083 1 0 NaN NaN 26.796 0.606 2008 3 27.543 0.320 0 0 27.543 0.320 26.087 0.064 2008 4 27.115 0.241 0 0 27.115 0.241 25.733 0.060 2008 5 27.118 0.495 0 0 27.118 0.495 26.172 0.750 2008 6 26.774 1.225 1 0 NaN NaN 25.033 0.685 2008 7 26.019 1.319 0 0 26.019 1.319 24.369 0.870 2008 8 26.269 1.420 0 0 26.269 1.420 24.849 1.202 2008 9 26.881 1.325 0 0 26.881 1.325 25.560 1.205 2008 10 26.708 1.076 0 0 26.708 1.076 25.359 0.928 2008 11 27.076 0.873 1 0 NaN NaN 26.371 1.369 2008 12 27.522 0.940 0 0 27.522 0.940 26.160 0.779 2009 1 27.348 0.349 0 0 27.348 0.349 26.313 0.515 2009 2 27.754 0.363 0 0 27.754 0.363 26.802 0.612 2009 3 28.251 1.028 0 0 28.251 1.028 27.183 1.160 2009 4 27.509 0.636 0 0 27.509 0.636 26.260 0.587 2009 5 27.254 0.632 0 0 27.254 0.632 26.110 0.688 2009 6 26.419 0.869 0 0 26.419 0.869 25.058 0.709 2009 7 25.808 1.109 0 0 25.808 1.109 24.378 0.879 2009 8 26.159 1.311 0 0 26.159 1.311 24.769 1.121 2009 9 26.409 0.853 0 0 26.409 0.853 25.508 1.154 2009 10 26.373 0.741 0 0 26.373 0.741 24.917 0.486 2009 11 26.978 0.774 0 0 26.978 0.774 25.821 0.819 2009 12 27.867 1.286 0 0 27.867 1.286 26.430 1.050 2010 1 28.283 1.284 0 0 28.283 1.284 27.039 1.241 2010 2 28.593 1.202 0 0 28.593 1.202 27.665 1.474 2010 3 28.228 1.004 0 0 28.228 1.004 27.218 1.196 2010 4 28.242 1.368 0 0 28.242 1.368 26.933 1.260 2010 5 27.898 1.275 0 0 27.898 1.275 26.699 1.277 2010 6 26.484 0.935 0 0 26.484 0.935 25.168 0.819 2010 7 25.808 1.109 0 0 25.808 1.109 24.262 0.763 2010 8 26.211 1.363 0 0 26.211 1.363 24.626 0.978 2010 9 26.524 0.968 0 0 26.524 0.968 25.284 0.929 2010 10 27.317 1.685 1 0 NaN NaN 25.059 0.628 2010 11 26.923 0.720 1 0 NaN NaN 25.487 0.485 2010 12 27.859 1.278 1 0 NaN NaN 25.853 0.472 2011 1 27.841 0.842 0 0 27.841 0.842 26.074 0.276 2011 2 28.042 0.651 1 0 NaN NaN 26.509 0.318 2011 3 27.739 0.516 1 0 NaN NaN 26.855 0.833 2011 4 27.252 0.378 1 0 NaN NaN 26.144 0.471 2011 5 27.338 0.715 1 0 NaN NaN 26.298 0.876 2011 6 26.627 1.078 1 0 NaN NaN 24.834 0.485 2011 7 25.418 0.718 1 0 NaN NaN 24.046 0.547 2011 8 25.714 0.866 1 0 NaN NaN 24.311 0.663 2011 9 25.883 0.327 1 0 NaN NaN 24.857 0.502 2011 10 25.643 0.011 1 0 NaN NaN 24.953 0.522 2011 11 26.189 -0.014 0 0 26.189 -0.014 25.486 0.483 2011 12 27.430 0.849 0 0 27.430 0.849 26.062 0.682 2012 1 27.575 0.576 1 0 NaN NaN 26.289 0.491 2012 2 26.819 -0.572 0 0 26.819 -0.572 26.168 -0.022 2012 3 27.661 0.438 0 0 27.661 0.438 27.128 1.106 2012 4 27.561 0.687 0 0 27.561 0.687 26.221 0.548 2012 5 26.719 0.096 0 0 26.719 0.096 25.707 0.285 2012 6 26.346 0.797 0 0 26.346 0.797 24.855 0.507 2012 7 25.629 0.929 0 0 25.629 0.929 24.034 0.535 2012 8 25.081 0.232 0 0 25.081 0.232 24.155 0.508 2012 9 25.524 -0.032 0 0 25.524 -0.032 24.785 0.431 2012 10 26.195 0.563 1 0 NaN NaN 24.789 0.358 2012 11 27.232 1.029 1 0 NaN NaN 25.430 0.428 2012 12 27.160 0.579 1 0 NaN NaN 26.086 0.706 2013 1 27.565 0.566 0 0 27.565 0.566 26.574 0.776 2013 2 27.925 0.533 0 0 27.925 0.533 27.244 1.053 2013 3 27.543 0.320 0 0 27.543 0.320 26.434 0.411 2013 4 27.370 0.496 1 0 NaN NaN 26.223 0.550 2013 5 27.266 0.643 0 0 27.266 0.643 26.067 0.645 2013 6 26.311 0.762 0 0 26.311 0.762 24.855 0.506 2013 7 24.851 0.152 0 0 24.851 0.152 23.768 0.269 2013 8 24.980 0.132 0 0 24.980 0.132 23.933 0.286 2013 9 25.869 0.313 0 0 25.869 0.313 25.016 0.661 2013 10 25.717 0.085 0 0 25.717 0.085 24.678 0.246 2013 11 26.253 0.050 1 0 NaN NaN NaN NaN