% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 159683 % Primary Name: LAMPANG AGROMET % Record Type: TAVG % Country: Thailand % Latitude: 18.32082 +/- 0.00432 % Longitude: 99.29201 +/- 0.00951 % Elevation (m): 319.00 +/- 0.05 % # of Months: 47 % % IDs: gsod - 483340-99999 % usaf - 483340 % wmo - 48334 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 0c52597e85076f5b61fc6bfb20c1a465 % Raw Data Hash: 14bacc9c983fe2ee04245c452b0a70f1 % Adj Data Hash: 086e862e247a96b1c492a1578225097f % % 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 21.110 0.368 2007 1 NaN NaN NaN NaN NaN NaN 21.087 0.400 2007 2 NaN NaN NaN NaN NaN NaN 23.390 0.172 2007 3 NaN NaN NaN NaN NaN NaN 27.125 0.650 2007 4 NaN NaN NaN NaN NaN NaN 29.636 0.992 2007 5 NaN NaN NaN NaN NaN NaN 26.906 -1.431 2007 6 NaN NaN NaN NaN NaN NaN 28.020 0.524 2007 7 NaN NaN NaN NaN NaN NaN 27.442 0.319 2007 8 NaN NaN NaN NaN NaN NaN 26.977 0.289 2007 9 NaN NaN NaN NaN NaN NaN 26.724 0.295 2007 10 NaN NaN NaN NaN NaN NaN 25.444 0.072 2007 11 NaN NaN NaN NaN NaN NaN 22.964 -0.435 2007 12 22.727 1.717 1 0 NaN NaN 21.758 1.017 2008 1 21.909 0.954 0 0 21.909 0.954 21.694 1.007 2008 2 NaN NaN NaN NaN NaN NaN 23.550 0.332 2008 3 NaN NaN NaN NaN NaN NaN 26.862 0.388 2008 4 NaN NaN NaN NaN NaN NaN 29.244 0.600 2008 5 NaN NaN NaN NaN NaN NaN 26.995 -1.342 2008 6 NaN NaN NaN NaN NaN NaN 27.228 -0.269 2008 7 NaN NaN NaN NaN NaN NaN 26.858 -0.265 2008 8 NaN NaN NaN NaN NaN NaN 26.534 -0.154 2008 9 NaN NaN NaN NaN NaN NaN 26.407 -0.022 2008 10 NaN NaN NaN NaN NaN NaN 25.982 0.610 2008 11 NaN NaN NaN NaN NaN NaN 23.195 -0.204 2008 12 NaN NaN NaN NaN NaN NaN 19.881 -0.861 2009 1 NaN NaN NaN NaN NaN NaN 19.993 -0.694 2009 2 NaN NaN NaN NaN NaN NaN 24.731 1.514 2009 3 NaN NaN NaN NaN NaN NaN 26.699 0.224 2009 4 NaN NaN NaN NaN NaN NaN 29.088 0.444 2009 5 NaN NaN NaN NaN NaN NaN 27.966 -0.371 2009 6 NaN NaN NaN NaN NaN NaN 26.918 -0.578 2009 7 NaN NaN NaN NaN NaN NaN 27.118 -0.005 2009 8 NaN NaN NaN NaN NaN NaN 27.141 0.453 2009 9 NaN NaN NaN NaN NaN NaN 27.066 0.637 2009 10 NaN NaN NaN NaN NaN NaN 26.512 1.140 2009 11 NaN NaN NaN NaN NaN NaN 23.825 0.426 2009 12 NaN NaN NaN NaN NaN NaN 21.364 0.622 2010 1 NaN NaN NaN NaN NaN NaN 23.196 2.510 2010 2 26.482 2.996 1 0 NaN NaN 24.363 1.145 2010 3 NaN NaN NaN NaN NaN NaN 27.164 0.689 2010 4 34.643 5.730 1 0 NaN NaN 31.112 2.467 2010 5 31.676 3.070 1 0 NaN NaN 30.507 2.169 2010 6 30.374 2.609 0 2 30.374 2.609 29.116 1.619 2010 7 28.684 1.291 0 0 28.684 1.291 28.058 0.935 2010 8 27.407 0.450 0 0 27.407 0.450 26.681 -0.007 2010 9 28.045 1.347 0 0 28.045 1.347 26.989 0.560 2010 10 27.010 1.369 0 0 27.010 1.369 25.984 0.612 2010 11 25.096 1.428 0 0 25.096 1.428 23.953 0.554 2010 12 23.942 2.931 1 0 NaN NaN 22.187 1.445 2011 1 23.664 2.709 0 0 23.664 2.709 21.576 0.889 2011 2 26.647 3.161 0 0 26.647 3.161 24.319 1.101 2011 3 24.863 -1.881 0 0 24.863 -1.881 24.789 -1.686 2011 4 27.224 -1.689 0 0 27.224 -1.689 27.322 -1.323 2011 5 26.681 -1.925 0 0 26.681 -1.925 26.946 -1.392 2011 6 26.870 -0.895 0 0 26.870 -0.895 27.029 -0.467 2011 7 27.199 -0.193 0 0 27.199 -0.193 27.235 0.112 2011 8 26.358 -0.599 0 0 26.358 -0.599 26.392 -0.296 2011 9 26.317 -0.381 0 0 26.317 -0.381 26.447 0.018 2011 10 25.475 -0.166 0 0 25.475 -0.166 25.597 0.225 2011 11 23.483 -0.185 0 0 23.483 -0.185 23.814 0.415 2011 12 21.516 0.506 0 0 21.516 0.506 21.226 0.484 2012 1 22.982 2.027 0 0 22.982 2.027 22.345 1.659 2012 2 25.563 2.077 0 0 25.563 2.077 24.834 1.617 2012 3 27.371 0.627 0 0 27.371 0.627 26.921 0.446 2012 4 29.646 0.733 0 0 29.646 0.733 29.517 0.873 2012 5 27.853 -0.753 0 0 27.853 -0.753 27.899 -0.439 2012 6 27.052 -0.713 0 0 27.052 -0.713 27.345 -0.152 2012 7 26.729 -0.663 0 0 26.729 -0.663 26.891 -0.232 2012 8 26.624 -0.333 0 0 26.624 -0.333 26.791 0.103 2012 9 26.880 0.182 0 0 26.880 0.182 26.804 0.375 2012 10 26.195 0.555 0 0 26.195 0.555 26.341 0.969 2012 11 25.931 2.263 0 0 25.931 2.263 26.241 2.842 2012 12 23.568 2.558 0 0 23.568 2.558 23.136 2.395 2013 1 22.443 1.488 0 0 22.443 1.488 22.214 1.528 2013 2 26.063 2.577 0 0 26.063 2.577 25.819 2.601 2013 3 27.511 0.767 0 0 27.511 0.767 26.908 0.433 2013 4 30.452 1.539 0 0 30.452 1.539 30.405 1.761 2013 5 28.238 -0.368 0 0 28.238 -0.368 28.900 0.562 2013 6 27.541 -0.225 0 0 27.541 -0.225 27.793 0.297 2013 7 27.131 -0.261 0 0 27.131 -0.261 27.311 0.187 2013 8 26.660 -0.298 0 0 26.660 -0.298 26.609 -0.079 2013 9 26.563 -0.135 0 0 26.563 -0.135 26.516 0.087 2013 10 25.131 -0.510 0 0 25.131 -0.510 25.222 -0.150 2013 11 25.329 1.661 1 0 NaN NaN NaN NaN