% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 159668 % Primary Name: SAKON NAKHON AGROMET % Record Type: TAVG % Country: Thailand % Latitude: 17.11700 +/- 0.00050 % Longitude: 104.05000 +/- 0.00050 % Elevation (m): 192.00 +/- 0.05 % # of Months: 73 % % Alternate Names: SAKON NAKHON AGROME % % IDs: gsod - 483550-99999 % usaf - 483550 % wmo - 48355 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: df4eff0ac3f8d938479a06d76536bba8 % Raw Data Hash: ae245783f6c7de98a557d54f4dbf5f85 % Adj Data Hash: 973ba7403d96833779d5a69d7c10be91 % % 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 10 NaN NaN NaN NaN NaN NaN 26.683 0.483 2006 11 NaN NaN NaN NaN NaN NaN 26.365 2.173 2006 12 NaN NaN NaN NaN NaN NaN 22.446 0.469 2007 1 NaN NaN NaN NaN NaN NaN 21.894 -0.017 2007 2 NaN NaN NaN NaN NaN NaN 26.023 1.681 2007 3 NaN NaN NaN NaN NaN NaN 29.132 1.649 2007 4 NaN NaN NaN NaN NaN NaN 29.402 0.303 2007 5 NaN NaN NaN NaN NaN NaN 28.341 -0.656 2007 6 NaN NaN NaN NaN NaN NaN 28.893 0.438 2007 7 NaN NaN NaN NaN NaN NaN 28.607 0.475 2007 8 NaN NaN NaN NaN NaN NaN 27.615 -0.080 2007 9 NaN NaN NaN NaN NaN NaN 27.289 -0.001 2007 10 24.414 -0.932 1 0 NaN NaN 25.800 -0.399 2007 11 NaN NaN NaN NaN NaN NaN 22.951 -1.242 2007 12 21.113 -0.011 1 0 NaN NaN 23.749 1.771 2008 1 20.628 -0.430 0 0 20.628 -0.430 21.965 0.053 2008 2 19.677 -3.812 0 0 19.677 -3.812 21.236 -3.107 2008 3 24.961 -1.668 0 0 24.961 -1.668 26.817 -0.665 2008 4 27.619 -0.627 0 0 27.619 -0.627 29.008 -0.092 2008 5 26.946 -1.198 0 0 26.946 -1.198 27.424 -1.574 2008 6 27.154 -0.448 0 0 27.154 -0.448 27.677 -0.778 2008 7 27.113 -0.165 0 0 27.113 -0.165 27.544 -0.588 2008 8 26.912 0.070 0 0 26.912 0.070 27.387 -0.308 2008 9 26.770 0.334 0 0 26.770 0.334 27.053 -0.237 2008 10 26.431 1.086 0 0 26.431 1.086 27.217 1.017 2008 11 22.857 -0.482 0 0 22.857 -0.482 24.125 -0.067 2008 12 19.939 -1.185 0 0 19.939 -1.185 21.314 -0.663 2009 1 18.753 -2.305 0 0 18.753 -2.305 20.344 -1.568 2009 2 25.414 1.925 0 0 25.414 1.925 26.846 2.504 2009 3 26.776 0.147 0 0 26.776 0.147 28.209 0.726 2009 4 29.017 0.771 1 0 NaN NaN 29.453 0.354 2009 5 27.636 -0.508 0 0 27.636 -0.508 28.129 -0.869 2009 6 28.089 0.488 0 0 28.089 0.488 28.326 -0.129 2009 7 27.550 0.272 0 0 27.550 0.272 27.763 -0.368 2009 8 27.480 0.639 0 0 27.480 0.639 27.939 0.243 2009 9 27.341 0.905 0 0 27.341 0.905 27.611 0.321 2009 10 26.274 0.929 0 0 26.274 0.929 27.215 1.015 2009 11 22.981 -0.357 0 0 22.981 -0.357 24.606 0.413 2009 12 21.572 0.448 0 0 21.572 0.448 23.169 1.192 2010 1 22.619 1.560 0 0 22.619 1.560 23.898 1.986 2010 2 25.087 1.599 0 0 25.087 1.599 26.897 2.555 2010 3 27.426 0.797 1 0 NaN NaN 28.662 1.179 2010 4 30.082 1.837 1 0 NaN NaN 31.058 1.958 2010 5 30.175 2.031 1 0 NaN NaN 30.349 1.352 2010 6 28.919 1.317 0 0 28.919 1.317 29.318 0.863 2010 7 28.471 1.193 0 0 28.471 1.193 28.679 0.547 2010 8 26.882 0.040 0 0 26.882 0.040 27.206 -0.489 2010 9 27.243 0.807 0 0 27.243 0.807 27.729 0.440 2010 10 25.339 -0.007 0 0 25.339 -0.007 26.061 -0.138 2010 11 23.252 -0.087 0 0 23.252 -0.087 24.521 0.328 2010 12 22.240 1.116 0 0 22.240 1.116 23.226 1.249 2011 1 19.927 -1.132 0 0 19.927 -1.132 20.841 -1.071 2011 2 23.609 0.120 0 0 23.609 0.120 24.964 0.621 2011 3 23.426 -3.203 0 0 23.426 -3.203 24.731 -2.752 2011 4 27.530 -0.716 0 0 27.530 -0.716 28.671 -0.428 2011 5 27.871 -0.273 0 0 27.871 -0.273 28.580 -0.417 2011 6 27.750 0.148 0 0 27.750 0.148 28.112 -0.343 2011 7 27.676 0.398 0 0 27.676 0.398 27.802 -0.330 2011 8 26.953 0.112 0 0 26.953 0.112 27.159 -0.536 2011 9 26.541 0.105 0 0 26.541 0.105 26.758 -0.532 2011 10 25.405 0.059 0 0 25.405 0.059 25.969 -0.230 2011 11 24.283 0.944 0 0 24.283 0.944 25.414 1.222 2011 12 20.285 -0.839 0 0 20.285 -0.839 21.269 -0.708 2012 1 22.057 0.999 0 0 22.057 0.999 23.068 1.157 2012 2 24.264 0.776 0 0 24.264 0.776 25.557 1.215 2012 3 26.398 -0.231 0 0 26.398 -0.231 27.902 0.420 2012 4 27.780 -0.466 0 0 27.780 -0.466 29.069 -0.031 2012 5 28.251 0.107 0 0 28.251 0.107 28.721 -0.277 2012 6 28.030 0.428 0 0 28.030 0.428 28.225 -0.230 2012 7 27.484 0.206 0 0 27.484 0.206 27.797 -0.335 2012 8 27.158 0.316 0 0 27.158 0.316 27.406 -0.289 2012 9 27.409 0.973 0 0 27.409 0.973 27.632 0.343 2012 10 26.658 1.312 0 0 26.658 1.312 27.443 1.244 2012 11 26.774 3.435 0 0 26.774 3.435 27.537 3.344 2012 12 24.231 3.107 0 0 24.231 3.107 25.181 3.203 2013 1 21.737 0.678 0 0 21.737 0.678 22.968 1.056 2013 2 25.669 2.180 0 0 25.669 2.180 26.916 2.573 2013 3 28.346 1.717 0 0 28.346 1.717 29.685 2.203 2013 4 29.244 0.999 0 0 29.244 0.999 30.512 1.412 2013 5 27.789 -0.356 0 0 27.789 -0.356 28.930 -0.068 2013 6 27.754 0.152 0 0 27.754 0.152 28.244 -0.211 2013 7 27.549 0.271 1 0 NaN NaN 27.467 -0.665 2013 8 27.324 0.483 0 0 27.324 0.483 27.460 -0.236 2013 9 26.789 0.353 0 0 26.789 0.353 27.033 -0.256 2013 10 25.495 0.149 0 0 25.495 0.149 26.290 0.091 2013 11 25.056 1.717 1 0 NaN NaN NaN NaN