% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 159687 % Primary Name: NAN AGROMET % Record Type: TAVG % Country: Thailand % Latitude: 18.86549 +/- 0.00201 % Longitude: 100.74601 +/- 0.00449 % Elevation (m): 264.79 +/- 0.84 % # of Months: 72 % % IDs: gsod - 483330-99999 % usaf - 483330 % wmo - 48333 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 6cbe11b1e6c465763e91c832be537dc9 % Raw Data Hash: 6dc68f332cee82875bb27a9f9869d2bf % Adj Data Hash: 4c675dedfd4040e6cef74dd81fc2bf3a % % 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 12 NaN NaN NaN NaN NaN NaN 20.659 0.328 2007 1 NaN NaN NaN NaN NaN NaN 20.528 0.332 2007 2 NaN NaN NaN NaN NaN NaN 22.909 0.437 2007 3 NaN NaN NaN NaN NaN NaN 26.593 1.161 2007 4 NaN NaN NaN NaN NaN NaN 27.896 0.415 2007 5 NaN NaN NaN NaN NaN NaN 26.635 -1.022 2007 6 NaN NaN NaN NaN NaN NaN 27.690 0.468 2007 7 NaN NaN NaN NaN NaN NaN 27.232 0.407 2007 8 NaN NaN NaN NaN NaN NaN 26.496 0.051 2007 9 NaN NaN NaN NaN NaN NaN 26.201 -0.030 2007 10 NaN NaN NaN NaN NaN NaN 24.907 -0.207 2007 11 NaN NaN NaN NaN NaN NaN 22.192 -0.769 2007 12 22.008 1.328 1 0 NaN NaN 21.814 1.483 2008 1 20.804 0.258 0 0 20.998 0.453 20.767 0.571 2008 2 22.000 -0.821 0 0 22.194 -0.627 21.342 -1.130 2008 3 25.428 -0.353 0 0 25.622 -0.159 25.368 -0.064 2008 4 27.722 -0.108 0 0 27.917 0.087 27.727 0.247 2008 5 26.624 -1.383 0 0 26.819 -1.188 26.361 -1.296 2008 6 27.069 -0.503 0 0 27.263 -0.309 26.622 -0.600 2008 7 26.554 -0.621 0 0 26.748 -0.426 26.367 -0.458 2008 8 26.541 -0.253 0 0 26.736 -0.059 26.226 -0.219 2008 9 26.741 0.160 0 0 26.935 0.355 26.238 0.007 2008 10 26.140 0.676 0 0 26.334 0.871 25.895 0.781 2008 11 22.815 -0.496 0 0 23.009 -0.302 22.616 -0.346 2008 12 19.484 -1.197 0 0 19.678 -1.002 19.513 -0.818 2009 1 18.966 -1.580 0 0 19.160 -1.385 18.938 -1.258 2009 2 24.307 1.486 1 0 NaN NaN 24.269 1.797 2009 3 25.228 -0.553 0 0 25.422 -0.359 25.768 0.336 2009 4 28.165 0.335 1 0 NaN NaN 27.747 0.266 2009 5 27.946 -0.061 0 0 28.141 0.134 27.260 -0.398 2009 6 27.079 -0.493 0 0 27.273 -0.299 26.836 -0.387 2009 7 27.039 -0.135 0 0 27.233 0.059 26.723 -0.102 2009 8 27.247 0.453 0 0 27.442 0.647 26.906 0.461 2009 9 27.004 0.423 0 0 27.198 0.618 26.690 0.459 2009 10 26.703 1.239 0 0 26.897 1.433 26.375 1.261 2009 11 22.917 -0.394 0 4 22.830 -0.481 23.280 0.318 2009 12 20.755 0.074 0 0 20.669 -0.012 21.304 0.973 2010 1 22.687 2.141 0 0 22.601 2.055 22.526 2.330 2010 2 23.272 0.450 0 0 23.185 0.364 24.255 1.783 2010 3 25.921 0.140 1 0 NaN NaN 26.298 0.867 2010 4 30.229 2.399 1 0 NaN NaN 29.871 2.390 2010 5 30.380 2.373 1 0 NaN NaN 29.331 1.673 2010 6 29.306 1.734 0 0 29.219 1.647 28.486 1.264 2010 7 28.301 1.127 0 0 28.215 1.040 27.411 0.586 2010 8 27.009 0.215 0 0 26.923 0.128 26.206 -0.239 2010 9 27.370 0.790 0 0 27.284 0.703 26.656 0.425 2010 10 26.478 1.015 0 0 26.392 0.928 25.547 0.433 2010 11 23.519 0.208 0 0 23.432 0.121 23.439 0.477 2010 12 22.864 2.183 0 0 22.777 2.097 21.996 1.665 2011 1 21.355 0.809 0 0 21.268 0.723 20.242 0.046 2011 2 24.028 1.206 0 0 23.941 1.120 23.643 1.171 2011 3 24.643 -1.139 0 0 24.556 -1.225 23.841 -1.591 2011 4 26.919 -0.912 0 0 26.832 -0.998 26.889 -0.592 2011 5 26.987 -1.019 0 0 26.901 -1.106 26.726 -0.932 2011 6 27.554 -0.018 0 0 27.467 -0.104 26.798 -0.424 2011 7 27.170 -0.004 0 0 27.084 -0.091 26.709 -0.116 2011 8 26.529 -0.266 0 0 26.442 -0.352 26.067 -0.378 2011 9 26.802 0.221 0 0 26.715 0.135 26.200 -0.031 2011 10 26.081 0.617 0 0 25.994 0.531 25.425 0.311 2011 11 23.739 0.428 0 0 23.652 0.342 23.703 0.741 2011 12 21.312 0.631 0 0 21.225 0.545 20.463 0.131 2012 1 22.324 1.779 0 0 22.238 1.692 21.716 1.520 2012 2 24.523 1.702 0 0 24.437 1.615 24.223 1.751 2012 3 25.959 0.178 0 0 25.872 0.091 25.959 0.528 2012 4 28.004 0.174 0 0 27.917 0.087 28.225 0.744 2012 5 27.873 -0.134 0 0 27.786 -0.221 27.327 -0.331 2012 6 27.680 0.108 0 0 27.593 0.022 27.173 -0.049 2012 7 27.047 -0.128 0 0 26.960 -0.214 26.459 -0.366 2012 8 26.846 0.052 0 0 26.759 -0.035 26.375 -0.070 2012 9 27.165 0.584 0 0 27.078 0.498 26.670 0.439 2012 10 26.724 1.260 0 0 26.638 1.174 26.359 1.245 2012 11 26.185 2.874 0 0 26.099 2.788 26.025 3.064 2012 12 23.297 2.617 0 0 23.211 2.530 22.966 2.635 2013 1 22.211 1.666 0 0 22.125 1.579 21.592 1.396 2013 2 25.020 2.198 0 0 24.933 2.112 24.934 2.462 2013 3 25.534 -0.247 0 0 25.448 -0.334 26.338 0.906 2013 4 29.450 1.620 0 0 29.364 1.533 29.214 1.734 2013 5 28.998 0.991 0 0 28.912 0.905 28.167 0.509 2013 6 27.893 0.321 0 0 27.806 0.234 27.210 -0.012 2013 7 27.149 -0.026 0 0 27.062 -0.112 26.617 -0.208 2013 8 26.932 0.138 0 0 26.845 0.051 26.368 -0.077 2013 9 26.987 0.407 0 0 26.901 0.320 26.210 -0.021 2013 10 25.724 0.260 0 0 25.638 0.174 25.063 -0.051 2013 11 25.774 2.463 1 0 NaN NaN NaN NaN