% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 159612 % Primary Name: SAWI AGROMET % Record Type: TAVG % Country: Thailand % Latitude: 10.33196 +/- 0.00154 % Longitude: 99.09643 +/- 0.00407 % Elevation (m): 13.00 +/- 0.05 % # of Months: 72 % % IDs: gsod - 485200-99999 % usaf - 485200 % wmo - 48520 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 541e3bdf3815e8efa56108e28025d93a % Raw Data Hash: ffcecd49fb6e4c948d5b088728d243a5 % Adj Data Hash: a333fa37f31e5f672234fb3b7ae943f6 % % 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 25.695 0.705 2007 1 NaN NaN NaN NaN NaN NaN 25.987 0.730 2007 2 NaN NaN NaN NaN NaN NaN 27.119 0.487 2007 3 NaN NaN NaN NaN NaN NaN 28.395 0.494 2007 4 NaN NaN NaN NaN NaN NaN 29.056 0.474 2007 5 NaN NaN NaN NaN NaN NaN 27.519 -0.423 2007 6 NaN NaN NaN NaN NaN NaN 26.861 -0.011 2007 7 NaN NaN NaN NaN NaN NaN 26.379 -0.034 2007 8 NaN NaN NaN NaN NaN NaN 26.986 0.519 2007 9 NaN NaN NaN NaN NaN NaN 26.893 0.314 2007 10 NaN NaN NaN NaN NaN NaN 26.077 -0.204 2007 11 NaN NaN NaN NaN NaN NaN 25.655 -0.103 2007 12 26.276 1.447 1 0 NaN NaN 25.796 0.806 2008 1 25.878 0.782 0 0 26.096 1.001 26.208 0.951 2008 2 26.316 -0.154 1 0 NaN NaN 26.933 0.301 2008 3 27.163 -0.576 0 0 27.382 -0.357 27.794 -0.106 2008 4 27.452 -0.969 0 0 27.670 -0.750 28.349 -0.233 2008 5 26.751 -1.029 0 0 26.969 -0.811 27.192 -0.750 2008 6 27.035 0.325 0 0 27.254 0.543 26.828 -0.044 2008 7 26.870 0.619 0 0 27.089 0.838 26.623 0.210 2008 8 27.434 1.128 0 0 27.652 1.347 27.295 0.828 2008 9 26.703 0.286 0 0 26.921 0.504 26.875 0.296 2008 10 26.651 0.531 0 0 26.869 0.749 27.028 0.747 2008 11 25.191 -0.405 0 0 25.409 -0.187 25.906 0.148 2008 12 23.953 -0.875 0 0 24.172 -0.657 24.927 -0.063 2009 1 23.654 -1.441 0 0 23.873 -1.223 24.586 -0.671 2009 2 25.947 -0.523 0 0 26.165 -0.305 27.154 0.523 2009 3 27.075 -0.663 0 0 27.294 -0.445 27.951 0.051 2009 4 28.326 -0.095 1 0 NaN NaN 28.494 -0.088 2009 5 27.088 -0.692 0 0 27.307 -0.474 27.473 -0.468 2009 6 27.420 0.709 0 0 27.638 0.927 27.447 0.575 2009 7 26.907 0.656 0 0 27.126 0.875 26.773 0.360 2009 8 27.661 1.356 0 0 27.880 1.574 27.350 0.883 2009 9 26.717 0.300 0 0 26.935 0.518 26.975 0.396 2009 10 26.435 0.316 0 0 26.654 0.534 26.823 0.542 2009 11 25.798 0.202 0 0 26.017 0.421 26.601 0.844 2009 12 25.541 0.713 0 0 25.760 0.931 26.063 1.073 2010 1 25.669 0.573 0 0 25.887 0.792 26.436 1.179 2010 2 26.360 -0.110 0 0 26.579 0.109 27.879 1.247 2010 3 27.727 -0.012 1 0 NaN NaN 28.729 0.829 2010 4 29.125 0.704 1 0 NaN NaN 29.883 1.301 2010 5 29.215 1.435 1 0 NaN NaN 29.402 1.460 2010 6 28.487 1.777 0 0 28.705 1.995 28.034 1.162 2010 7 27.695 1.444 0 0 27.914 1.663 27.097 0.684 2010 8 27.143 0.838 0 0 27.362 1.057 26.880 0.413 2010 9 27.756 1.338 0 4 27.600 1.183 27.395 0.817 2010 10 26.579 0.459 0 0 26.424 0.304 26.574 0.293 2010 11 25.361 -0.235 0 0 25.206 -0.390 25.940 0.182 2010 12 25.925 1.096 0 0 25.770 0.941 25.763 0.773 2011 1 25.498 0.403 0 0 25.343 0.248 25.707 0.450 2011 2 26.367 -0.103 0 0 26.212 -0.258 27.259 0.627 2011 3 25.807 -1.931 0 0 25.652 -2.087 26.388 -1.513 2011 4 27.857 -0.563 0 0 27.702 -0.718 28.339 -0.244 2011 5 27.884 0.103 0 0 27.728 -0.052 27.994 0.052 2011 6 27.561 0.851 0 0 27.406 0.695 27.323 0.451 2011 7 27.219 0.967 0 0 27.063 0.812 26.516 0.103 2011 8 27.513 1.207 0 0 27.357 1.052 27.004 0.537 2011 9 26.817 0.400 0 0 26.661 0.244 26.672 0.093 2011 10 26.552 0.432 0 0 26.397 0.277 26.666 0.385 2011 11 26.476 0.880 0 0 26.321 0.725 26.928 1.171 2011 12 25.177 0.349 0 0 25.022 0.194 25.420 0.430 2012 1 25.769 0.673 0 0 25.614 0.518 25.889 0.632 2012 2 26.793 0.323 0 0 26.638 0.168 27.315 0.684 2012 3 27.737 -0.002 0 0 27.581 -0.157 28.126 0.226 2012 4 28.356 -0.065 0 0 28.200 -0.220 28.797 0.215 2012 5 27.683 -0.097 0 0 27.528 -0.253 27.780 -0.162 2012 6 27.611 0.901 0 0 27.456 0.745 27.396 0.523 2012 7 27.613 1.362 0 0 27.458 1.206 27.043 0.630 2012 8 27.844 1.539 0 0 27.689 1.384 27.311 0.844 2012 9 26.813 0.396 0 0 26.658 0.241 26.505 -0.074 2012 10 27.125 1.006 0 0 26.970 0.850 27.052 0.771 2012 11 26.867 1.271 0 0 26.711 1.116 26.876 1.118 2012 12 26.539 1.711 0 0 26.384 1.556 26.480 1.490 2013 1 26.353 1.258 0 0 26.198 1.103 26.472 1.215 2013 2 26.976 0.506 0 0 26.821 0.351 27.457 0.825 2013 3 28.041 0.302 0 0 27.886 0.147 28.804 0.903 2013 4 28.613 0.193 0 0 28.458 0.037 29.091 0.509 2013 5 28.873 1.093 0 0 28.718 0.937 28.739 0.797 2013 6 27.804 1.093 0 0 27.649 0.938 27.172 0.300 2013 7 26.923 0.672 0 0 26.768 0.517 26.174 -0.239 2013 8 27.586 1.281 0 0 27.431 1.126 27.108 0.641 2013 9 27.420 1.003 0 0 27.265 0.848 27.006 0.427 2013 10 26.699 0.579 0 0 26.544 0.424 26.547 0.265 2013 11 27.042 1.446 1 0 NaN NaN NaN NaN