% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 159670 % Primary Name: SI SAMRONG AGROMET % Record Type: TAVG % Country: Thailand % Latitude: 17.16424 +/- 0.00326 % Longitude: 99.86451 +/- 0.00299 % Elevation (m): 54.00 +/- 0.05 % # of Months: 47 % % IDs: gsod - 483730-99999 % usaf - 483730 % wmo - 48373 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: f66e43177533493b37db4f04b87e5531 % Raw Data Hash: b3dcb3d9c584c05ce0a33ffb5aa901af % Adj Data Hash: 17a1c681c1ddcdd455e8f6e623d187b1 % % 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 23.748 0.388 2007 1 NaN NaN NaN NaN NaN NaN 23.883 0.515 2007 2 NaN NaN NaN NaN NaN NaN 26.205 0.539 2007 3 NaN NaN NaN NaN NaN NaN 29.184 0.920 2007 4 NaN NaN NaN NaN NaN NaN 30.263 0.405 2007 5 NaN NaN NaN NaN NaN NaN 28.074 -1.299 2007 6 NaN NaN NaN NaN NaN NaN 28.991 0.611 2007 7 NaN NaN NaN NaN NaN NaN 28.118 0.287 2007 8 NaN NaN NaN NaN NaN NaN 27.751 0.269 2007 9 NaN NaN NaN NaN NaN NaN 27.540 0.134 2007 10 NaN NaN NaN NaN NaN NaN 26.838 -0.036 2007 11 NaN NaN NaN NaN NaN NaN 24.846 -0.522 2007 12 24.567 0.769 1 0 NaN NaN 24.904 1.543 2008 1 23.753 -0.053 0 0 23.753 -0.053 24.088 0.720 2008 2 NaN NaN NaN NaN NaN NaN 25.234 -0.432 2008 3 NaN NaN NaN NaN NaN NaN 28.235 -0.030 2008 4 NaN NaN NaN NaN NaN NaN 29.996 0.138 2008 5 NaN NaN NaN NaN NaN NaN 28.125 -1.247 2008 6 NaN NaN NaN NaN NaN NaN 27.951 -0.429 2008 7 NaN NaN NaN NaN NaN NaN 27.622 -0.210 2008 8 NaN NaN NaN NaN NaN NaN 27.336 -0.147 2008 9 NaN NaN NaN NaN NaN NaN 27.238 -0.168 2008 10 NaN NaN NaN NaN NaN NaN 27.402 0.528 2008 11 NaN NaN NaN NaN NaN NaN 25.253 -0.115 2008 12 NaN NaN NaN NaN NaN NaN 22.446 -0.915 2009 1 NaN NaN NaN NaN NaN NaN 21.967 -1.401 2009 2 NaN NaN NaN NaN NaN NaN 27.079 1.413 2009 3 NaN NaN NaN NaN NaN NaN 28.022 -0.242 2009 4 NaN NaN NaN NaN NaN NaN 29.951 0.093 2009 5 NaN NaN NaN NaN NaN NaN 28.708 -0.664 2009 6 NaN NaN NaN NaN NaN NaN 27.814 -0.566 2009 7 NaN NaN NaN NaN NaN NaN 27.710 -0.122 2009 8 NaN NaN NaN NaN NaN NaN 28.034 0.551 2009 9 NaN NaN NaN NaN NaN NaN 27.831 0.425 2009 10 NaN NaN NaN NaN NaN NaN 27.818 0.944 2009 11 NaN NaN NaN NaN NaN NaN 25.725 0.357 2009 12 NaN NaN NaN NaN NaN NaN 24.271 0.910 2010 1 NaN NaN NaN NaN NaN NaN 25.349 1.981 2010 2 28.489 2.386 1 0 NaN NaN 27.600 1.935 2010 3 NaN NaN NaN NaN NaN NaN 29.157 0.892 2010 4 33.949 3.653 1 0 NaN NaN 32.009 2.150 2010 5 31.824 2.013 1 0 NaN NaN 31.260 1.887 2010 6 31.600 2.783 0 2 31.600 2.783 29.931 1.551 2010 7 29.877 1.607 0 0 29.877 1.607 28.671 0.839 2010 8 28.892 0.972 0 0 28.892 0.972 27.402 -0.081 2010 9 29.276 1.432 0 0 29.276 1.432 27.793 0.387 2010 10 28.288 0.976 0 0 28.288 0.976 26.957 0.083 2010 11 27.525 1.718 0 0 27.525 1.718 26.063 0.694 2010 12 26.071 2.272 1 0 NaN NaN 24.591 1.230 2011 1 25.229 1.423 0 0 25.229 1.423 23.494 0.126 2011 2 27.310 1.207 0 0 27.310 1.207 26.359 0.694 2011 3 24.762 -3.941 1 0 NaN NaN 25.914 -2.351 2011 4 28.713 -1.583 0 0 28.713 -1.583 28.976 -0.882 2011 5 28.532 -1.278 0 0 28.532 -1.278 28.368 -1.004 2011 6 27.987 -0.831 0 0 27.987 -0.831 27.933 -0.447 2011 7 28.235 -0.035 0 0 28.235 -0.035 27.751 -0.080 2011 8 27.970 0.049 0 0 27.970 0.049 27.355 -0.128 2011 9 27.872 0.028 0 0 27.872 0.028 27.297 -0.109 2011 10 27.387 0.075 0 0 27.387 0.075 27.169 0.295 2011 11 26.428 0.621 0 0 26.428 0.621 26.355 0.987 2011 12 23.781 -0.017 0 0 23.781 -0.017 23.571 0.210 2012 1 25.244 1.438 0 0 25.244 1.438 25.282 1.914 2012 2 26.862 0.759 0 0 26.862 0.759 27.136 1.471 2012 3 28.570 -0.133 0 0 28.570 -0.133 28.762 0.497 2012 4 30.856 0.560 0 0 30.856 0.560 30.607 0.749 2012 5 29.355 -0.455 0 0 29.355 -0.455 29.095 -0.278 2012 6 28.437 -0.381 0 0 28.437 -0.381 28.150 -0.230 2012 7 27.882 -0.388 0 0 27.882 -0.388 27.572 -0.259 2012 8 27.978 0.058 0 0 27.978 0.058 27.408 -0.075 2012 9 28.193 0.349 0 0 28.193 0.349 27.701 0.295 2012 10 28.337 1.025 0 0 28.337 1.025 28.035 1.161 2012 11 28.135 2.329 0 0 28.135 2.329 28.036 2.667 2012 12 26.188 2.389 0 0 26.188 2.389 26.134 2.773 2013 1 24.694 0.887 0 0 24.694 0.887 24.705 1.337 2013 2 27.591 1.488 0 0 27.591 1.488 27.836 2.171 2013 3 28.873 0.170 0 0 28.873 0.170 28.949 0.684 2013 4 31.252 0.956 0 0 31.252 0.956 31.271 1.413 2013 5 30.498 0.688 0 0 30.498 0.688 30.155 0.783 2013 6 28.924 0.106 0 0 28.924 0.106 28.411 0.032 2013 7 28.344 0.075 0 0 28.344 0.075 27.749 -0.082 2013 8 27.923 0.002 0 0 27.923 0.002 27.514 0.031 2013 9 27.820 -0.023 0 0 27.820 -0.023 27.303 -0.102 2013 10 27.332 0.020 0 0 27.332 0.020 27.080 0.206 2013 11 27.950 2.143 1 0 NaN NaN NaN NaN