% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 159632 % Primary Name: SRAKAEW % Record Type: TAVG % Country: Thailand % Latitude: 13.78729 +/- 0.00479 % Longitude: 102.03279 +/- 0.00071 % Elevation (m): 43.00 +/- 0.05 % # of Months: 72 % % IDs: gsod - 484400-99999 % usaf - 484400 % wmo - 48440 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: e63d339f22c3149b32fb22391ee164ef % Raw Data Hash: 013ef2c14cc9f730bc13c3dcf6c2cafb % Adj Data Hash: bb324d85545e77823678e37dbf29e736 % % 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 25.817 0.689 2007 1 NaN NaN NaN NaN NaN NaN 26.154 0.666 2007 2 NaN NaN NaN NaN NaN NaN 27.727 0.249 2007 3 NaN NaN NaN NaN NaN NaN 30.023 0.916 2007 4 NaN NaN NaN NaN NaN NaN 29.699 0.003 2007 5 NaN NaN NaN NaN NaN NaN 28.363 -0.736 2007 6 NaN NaN NaN NaN NaN NaN 28.532 0.321 2007 7 NaN NaN NaN NaN NaN NaN 27.553 -0.078 2007 8 NaN NaN NaN NaN NaN NaN 27.968 0.505 2007 9 NaN NaN NaN NaN NaN NaN 27.700 0.325 2007 10 NaN NaN NaN NaN NaN NaN 27.287 0.187 2007 11 NaN NaN NaN NaN NaN NaN 25.837 -0.450 2007 12 26.029 1.316 1 0 NaN NaN 26.700 1.572 2008 1 25.391 0.317 0 0 25.628 0.555 26.316 0.828 2008 2 25.749 -1.313 0 0 25.987 -1.076 27.111 -0.367 2008 3 28.168 -0.524 0 0 28.406 -0.286 29.041 -0.066 2008 4 28.661 -0.620 0 0 28.899 -0.383 29.450 -0.247 2008 5 27.661 -1.022 0 0 27.899 -0.785 28.340 -0.758 2008 6 27.706 -0.091 0 0 27.943 0.147 27.909 -0.303 2008 7 27.130 -0.085 0 0 27.368 0.152 27.367 -0.264 2008 8 27.167 0.119 0 0 27.404 0.356 27.577 0.114 2008 9 26.776 -0.184 0 0 27.013 0.054 27.212 -0.163 2008 10 27.179 0.494 0 0 27.417 0.732 27.622 0.521 2008 11 25.224 -0.648 0 0 25.462 -0.410 26.228 -0.059 2008 12 23.554 -1.159 0 0 23.791 -0.922 24.666 -0.462 2009 1 22.882 -2.192 0 0 23.119 -1.954 24.176 -1.312 2009 2 27.405 0.343 0 0 27.643 0.581 28.526 1.049 2009 3 27.826 -0.866 0 0 28.063 -0.629 29.028 -0.079 2009 4 30.203 0.921 1 0 NaN NaN 29.850 0.154 2009 5 28.402 -0.281 0 0 28.640 -0.044 28.573 -0.525 2009 6 28.098 0.301 0 0 28.335 0.539 28.226 0.014 2009 7 27.444 0.229 0 0 27.682 0.466 27.618 -0.012 2009 8 28.026 0.978 0 0 28.263 1.215 28.234 0.771 2009 9 27.391 0.431 0 0 27.628 0.668 27.657 0.282 2009 10 27.211 0.526 0 0 27.449 0.764 27.505 0.405 2009 11 25.824 -0.048 0 0 26.062 0.190 26.716 0.429 2009 12 25.490 0.777 0 0 25.727 1.014 26.388 1.260 2010 1 26.122 1.049 0 0 26.360 1.286 26.745 1.256 2010 2 28.724 1.662 0 4 28.589 1.526 29.294 1.817 2010 3 29.631 0.938 1 0 NaN NaN 29.910 0.803 2010 4 31.163 1.882 1 0 NaN NaN 31.005 1.309 2010 5 30.409 1.726 1 0 NaN NaN 30.362 1.264 2010 6 28.956 1.159 0 0 28.820 1.023 29.051 0.839 2010 7 27.998 0.783 0 0 27.862 0.647 28.083 0.452 2010 8 27.267 0.219 0 0 27.131 0.083 27.365 -0.098 2010 9 27.830 0.870 0 0 27.694 0.734 27.862 0.487 2010 10 26.975 0.290 0 0 26.839 0.154 27.189 0.088 2010 11 26.750 0.878 0 0 26.614 0.742 27.223 0.936 2010 12 25.968 1.255 0 0 25.832 1.119 26.343 1.215 2011 1 25.258 0.185 0 0 25.122 0.049 25.772 0.284 2011 2 26.970 -0.092 0 0 26.835 -0.228 27.903 0.426 2011 3 26.804 -1.889 0 0 26.668 -2.024 27.224 -1.883 2011 4 28.346 -0.935 0 0 28.211 -1.071 28.868 -0.828 2011 5 28.602 -0.081 0 0 28.466 -0.217 28.876 -0.223 2011 6 27.819 0.022 0 0 27.683 -0.114 27.949 -0.263 2011 7 27.842 0.627 0 0 27.707 0.491 27.668 0.037 2011 8 27.364 0.316 0 0 27.228 0.180 27.478 0.015 2011 9 26.902 -0.058 0 0 26.766 -0.194 27.307 -0.068 2011 10 27.079 0.394 0 0 26.943 0.258 27.394 0.294 2011 11 27.217 1.345 0 0 27.081 1.209 27.900 1.613 2011 12 24.706 -0.007 0 0 24.570 -0.142 25.229 0.101 2012 1 26.808 1.735 0 0 26.673 1.599 27.074 1.585 2012 2 28.209 1.147 0 0 28.073 1.011 28.793 1.315 2012 3 29.267 0.575 0 0 29.131 0.439 29.835 0.728 2012 4 29.331 0.050 0 0 29.196 -0.085 30.215 0.519 2012 5 29.152 0.469 0 0 29.017 0.333 29.306 0.207 2012 6 28.369 0.572 0 0 28.233 0.436 28.329 0.117 2012 7 27.457 0.241 0 0 27.321 0.106 27.451 -0.180 2012 8 27.416 0.368 0 0 27.280 0.232 27.654 0.191 2012 9 27.178 0.218 0 0 27.042 0.082 27.192 -0.183 2012 10 28.186 1.501 0 0 28.051 1.365 28.089 0.989 2012 11 28.094 2.222 0 0 27.959 2.087 28.193 1.906 2012 12 27.461 2.748 0 0 27.325 2.612 27.685 2.557 2013 1 26.418 1.344 0 0 26.282 1.209 26.624 1.136 2013 2 28.690 1.628 0 0 28.555 1.492 29.108 1.630 2013 3 29.729 1.037 0 0 29.594 0.901 29.958 0.850 2013 4 29.574 0.293 0 0 29.438 0.157 30.226 0.530 2013 5 29.701 1.017 0 0 29.565 0.882 30.100 1.002 2013 6 28.111 0.315 0 0 27.975 0.179 28.121 -0.091 2013 7 27.418 0.202 0 0 27.282 0.066 27.372 -0.259 2013 8 27.708 0.660 0 0 27.572 0.524 27.667 0.203 2013 9 27.130 0.170 0 0 26.994 0.034 27.219 -0.156 2013 10 27.111 0.426 0 0 26.975 0.290 27.358 0.258 2013 11 27.591 1.719 1 0 NaN NaN NaN NaN