% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 15371 % Primary Name: ACHMAD YANI % Record Type: TAVG % Country: Indonesia % Latitude: -6.96700 +/- 0.00050 % Longitude: 110.38300 +/- 0.00050 % Elevation (m): 3.00 +/- 0.05 % # of Months: 50 % % IDs: gsod - 966334-99999 % icao - WARS % usaf - 966334 % % Sources: Global Summary of the Day % % Site Hash: 79b08fd2ba51dfb62c39760159ca2ac0 % Raw Data Hash: d518379d9ed190810b6277addd4f981b % Adj Data Hash: 61cb97491037f4e509c340ea5ff53115 % % 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 8 NaN NaN NaN NaN NaN NaN 26.578 0.307 2006 9 NaN NaN NaN NaN NaN NaN 27.132 0.066 2006 10 NaN NaN NaN NaN NaN NaN 28.235 0.905 2006 11 NaN NaN NaN NaN NaN NaN 28.924 1.721 2006 12 NaN NaN NaN NaN NaN NaN 27.585 1.295 2007 1 NaN NaN NaN NaN NaN NaN 27.070 1.246 2007 2 NaN NaN NaN NaN NaN NaN 26.019 0.232 2007 3 NaN NaN NaN NaN NaN NaN 26.224 0.165 2007 4 NaN NaN NaN NaN NaN NaN 26.682 0.195 2007 5 NaN NaN NaN NaN NaN NaN 27.402 0.687 2007 6 NaN NaN NaN NaN NaN NaN 26.632 0.417 2007 7 NaN NaN NaN NaN NaN NaN 26.375 0.565 2007 8 28.795 0.587 1 0 NaN NaN 26.427 0.156 2007 9 30.564 1.560 1 0 NaN NaN 27.162 0.096 2007 10 30.530 1.263 1 0 NaN NaN 27.873 0.543 2007 11 NaN NaN NaN NaN NaN NaN 27.532 0.329 2007 12 NaN NaN NaN NaN NaN NaN 26.345 0.055 2008 1 NaN NaN NaN NaN NaN NaN 26.104 0.280 2008 2 NaN NaN NaN NaN NaN NaN 25.369 -0.419 2008 3 NaN NaN NaN NaN NaN NaN 25.882 -0.177 2008 4 29.383 0.958 1 0 NaN NaN 26.726 0.238 2008 5 30.179 1.526 0 0 30.179 1.526 26.999 0.284 2008 6 30.255 2.102 1 0 NaN NaN 26.361 0.145 2008 7 30.011 2.264 1 0 NaN NaN 25.814 0.004 2008 8 29.985 1.777 1 0 NaN NaN 26.715 0.444 2008 9 30.563 1.560 0 0 30.563 1.560 27.638 0.572 2008 10 30.411 1.144 1 0 NaN NaN 27.986 0.656 2008 11 29.519 0.379 0 0 29.519 0.379 27.219 0.016 2008 12 28.457 0.230 1 0 NaN NaN 26.115 -0.175 2009 1 27.562 -0.199 1 0 NaN NaN 25.774 -0.050 2009 2 27.475 -0.250 0 0 27.475 -0.250 25.422 -0.366 2009 3 29.356 1.359 1 0 NaN NaN 26.549 0.489 2009 4 29.922 1.497 0 0 29.922 1.497 27.218 0.731 2009 5 29.454 0.801 0 0 29.454 0.801 26.912 0.197 2009 6 30.270 2.117 1 0 NaN NaN 26.797 0.581 2009 7 30.151 2.404 1 0 NaN NaN 26.181 0.370 2009 8 NaN NaN NaN NaN NaN NaN 26.803 0.533 2009 9 NaN NaN NaN NaN NaN NaN 27.741 0.674 2009 10 NaN NaN NaN NaN NaN NaN 28.040 0.710 2009 11 NaN NaN NaN NaN NaN NaN 28.166 0.963 2009 12 NaN NaN NaN NaN NaN NaN 27.240 0.950 2010 1 NaN NaN NaN NaN NaN NaN 25.917 0.093 2010 2 NaN NaN NaN NaN NaN NaN 26.505 0.718 2010 3 NaN NaN NaN NaN NaN NaN 26.837 0.778 2010 4 NaN NaN NaN NaN NaN NaN 27.074 0.586 2010 5 NaN NaN NaN NaN NaN NaN 27.193 0.478 2010 6 NaN NaN NaN NaN NaN NaN 26.854 0.639 2010 7 NaN NaN NaN NaN NaN NaN 26.740 0.930 2010 8 NaN NaN NaN NaN NaN NaN 27.416 1.145 2010 9 30.583 1.580 1 0 NaN NaN 27.449 0.382 2010 10 29.015 -0.252 0 2 29.015 -0.252 27.276 -0.054 2010 11 28.844 -0.296 0 0 28.844 -0.296 27.469 0.266 2010 12 27.695 -0.532 0 0 27.695 -0.532 26.008 -0.282 2011 1 27.346 -0.415 0 0 27.346 -0.415 25.947 0.123 2011 2 27.889 0.164 0 0 27.889 0.164 25.895 0.107 2011 3 27.740 -0.257 0 0 27.740 -0.257 25.947 -0.112 2011 4 28.407 -0.018 0 0 28.407 -0.018 26.398 -0.090 2011 5 29.068 0.415 0 0 29.068 0.415 26.964 0.249 2011 6 28.910 0.757 1 0 NaN NaN 26.189 -0.027 2011 7 28.885 1.138 0 0 28.885 1.138 26.224 0.414 2011 8 28.803 0.595 0 0 28.803 0.595 26.585 0.315 2011 9 29.152 0.149 0 0 29.152 0.149 27.285 0.219 2011 10 29.470 0.203 1 0 NaN NaN 28.060 0.730 2011 11 NaN NaN NaN NaN NaN NaN 27.444 0.241 2011 12 NaN NaN NaN NaN NaN NaN 26.768 0.478 2012 1 28.425 0.664 1 0 NaN NaN 26.306 0.482 2012 2 NaN NaN NaN NaN NaN NaN 26.245 0.458 2012 3 NaN NaN NaN NaN NaN NaN 26.243 0.183 2012 4 NaN NaN NaN NaN NaN NaN 27.123 0.635 2012 5 NaN NaN NaN NaN NaN NaN 27.291 0.576 2012 6 NaN NaN NaN NaN NaN NaN 26.437 0.222 2012 7 NaN NaN NaN NaN NaN NaN 25.906 0.096 2012 8 28.922 0.714 1 0 NaN NaN 26.312 0.042 2012 9 29.161 0.158 0 0 29.161 0.158 27.493 0.427 2012 10 29.599 0.332 0 0 29.599 0.332 28.283 0.953 2012 11 29.287 0.147 0 0 29.287 0.147 28.110 0.907 2012 12 28.047 -0.180 0 0 28.047 -0.180 26.584 0.294 2013 1 27.704 -0.057 0 0 27.704 -0.057 26.049 0.225 2013 2 28.103 0.378 0 0 28.103 0.378 26.383 0.596 2013 3 28.618 0.621 0 0 28.618 0.621 26.683 0.623 2013 4 28.876 0.451 0 0 28.876 0.451 27.144 0.656 2013 5 29.002 0.349 0 0 29.002 0.349 27.129 0.414 2013 6 28.311 0.158 0 0 28.311 0.158 26.595 0.379 2013 7 28.312 0.565 0 0 28.312 0.565 26.209 0.399 2013 8 28.909 0.701 0 0 28.909 0.701 26.919 0.648 2013 9 29.426 0.423 0 0 29.426 0.423 27.571 0.505 2013 10 29.530 0.263 0 0 29.530 0.263 28.230 0.900 2013 11 30.071 0.931 1 0 NaN NaN NaN NaN