% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 159594 % Primary Name: YALA AGROMET % Record Type: TAVG % Country: Thailand % Latitude: 6.51632 +/- 0.00118 % Longitude: 101.27835 +/- 0.00515 % Elevation (m): 36.00 +/- 0.05 % # of Months: 72 % % IDs: gsod - 485810-99999 % usaf - 485810 % wmo - 48581 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 18463f87d182a1ba8b49f5adebf0bf3c % Raw Data Hash: b5c1d8605b0a70e4fe1d2b87ac2347be % Adj Data Hash: 8fd4a3fdc065c3a3d7a4a9ad8f303b3d % % 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 26.271 1.088 2007 1 NaN NaN NaN NaN NaN NaN 25.474 0.542 2007 2 NaN NaN NaN NaN NaN NaN 25.794 0.346 2007 3 NaN NaN NaN NaN NaN NaN 26.688 0.348 2007 4 NaN NaN NaN NaN NaN NaN 27.739 0.215 2007 5 NaN NaN NaN NaN NaN NaN 28.369 -0.025 2007 6 NaN NaN NaN NaN NaN NaN 28.778 0.313 2007 7 NaN NaN NaN NaN NaN NaN 28.452 0.237 2007 8 NaN NaN NaN NaN NaN NaN 28.454 0.477 2007 9 NaN NaN NaN NaN NaN NaN 28.005 0.476 2007 10 NaN NaN NaN NaN NaN NaN 26.713 0.012 2007 11 NaN NaN NaN NaN NaN NaN 26.252 0.295 2007 12 25.953 1.189 1 0 NaN NaN 25.911 0.728 2008 1 25.833 1.320 0 0 25.833 1.320 25.580 0.648 2008 2 25.759 0.730 0 0 25.759 0.730 25.417 -0.032 2008 3 26.539 0.618 0 0 26.539 0.618 26.058 -0.281 2008 4 27.637 0.532 0 0 27.637 0.532 27.416 -0.109 2008 5 27.230 -0.745 0 0 27.230 -0.745 28.123 -0.271 2008 6 27.078 -0.968 0 0 27.078 -0.968 28.278 -0.187 2008 7 27.002 -0.794 0 0 27.002 -0.794 28.210 -0.005 2008 8 26.760 -0.798 0 0 26.760 -0.798 28.154 0.177 2008 9 26.872 -0.238 0 0 26.872 -0.238 27.846 0.317 2008 10 26.917 0.635 0 0 26.917 0.635 27.440 0.739 2008 11 25.643 0.105 0 0 25.643 0.105 26.029 0.072 2008 12 25.036 0.272 0 0 25.036 0.272 25.169 -0.014 2009 1 24.640 0.127 0 0 24.640 0.127 24.546 -0.387 2009 2 26.498 1.469 0 0 26.498 1.469 26.008 0.560 2009 3 26.694 0.774 0 0 26.694 0.774 26.270 -0.070 2009 4 28.480 1.374 1 0 NaN NaN 27.703 0.179 2009 5 27.257 -0.718 0 0 27.257 -0.718 28.186 -0.208 2009 6 28.297 0.251 0 0 28.297 0.251 29.525 1.060 2009 7 27.211 -0.584 0 0 27.211 -0.584 28.728 0.514 2009 8 27.321 -0.237 0 0 27.321 -0.237 28.619 0.642 2009 9 27.315 0.205 0 0 27.315 0.205 28.215 0.686 2009 10 26.629 0.347 0 0 26.629 0.347 27.405 0.705 2009 11 26.013 0.476 0 0 26.013 0.476 26.618 0.662 2009 12 25.656 0.893 0 0 25.656 0.893 26.113 0.930 2010 1 26.059 1.546 0 0 26.059 1.546 25.949 1.017 2010 2 27.216 2.187 0 0 27.216 2.187 26.709 1.261 2010 3 29.007 3.086 1 0 NaN NaN 27.470 1.130 2010 4 29.145 2.040 1 0 NaN NaN 28.762 1.238 2010 5 29.745 1.770 1 0 NaN NaN 29.920 1.527 2010 6 28.100 0.054 0 0 28.100 0.054 29.313 0.848 2010 7 27.489 -0.307 0 0 27.489 -0.307 28.605 0.390 2010 8 27.375 -0.183 0 0 27.375 -0.183 28.695 0.717 2010 9 27.189 0.079 0 0 27.189 0.079 28.055 0.526 2010 10 27.154 0.873 0 0 27.154 0.873 27.410 0.709 2010 11 26.035 0.498 0 0 26.035 0.498 26.347 0.390 2010 12 25.608 0.844 0 0 25.608 0.844 25.496 0.313 2011 1 25.776 1.263 0 0 25.776 1.263 25.430 0.497 2011 2 26.579 1.550 0 0 26.579 1.550 25.971 0.523 2011 3 26.513 0.592 0 0 26.513 0.592 25.808 -0.532 2011 4 27.730 0.624 0 0 27.730 0.624 27.447 -0.077 2011 5 27.998 0.024 0 0 27.998 0.024 28.642 0.249 2011 6 27.496 -0.549 0 0 27.496 -0.549 28.856 0.391 2011 7 27.746 -0.050 0 0 27.746 -0.050 28.791 0.576 2011 8 26.878 -0.680 0 0 26.878 -0.680 28.199 0.222 2011 9 27.161 0.051 0 0 27.161 0.051 27.939 0.409 2011 10 26.493 0.211 0 0 26.493 0.211 27.137 0.436 2011 11 26.009 0.472 0 0 26.009 0.472 26.638 0.682 2011 12 25.604 0.840 0 0 25.604 0.840 25.694 0.511 2012 1 25.805 1.292 0 0 25.805 1.292 25.401 0.469 2012 2 27.220 2.191 0 0 27.220 2.191 26.344 0.896 2012 3 27.281 1.361 0 0 27.281 1.361 26.647 0.307 2012 4 27.874 0.769 0 0 27.874 0.769 27.592 0.067 2012 5 28.274 0.300 1 0 NaN NaN 28.759 0.366 2012 6 28.404 0.358 0 0 28.404 0.358 29.272 0.807 2012 7 27.919 0.124 0 0 27.919 0.124 28.808 0.593 2012 8 27.953 0.396 0 0 27.953 0.396 28.921 0.944 2012 9 26.965 -0.145 0 0 26.965 -0.145 27.764 0.235 2012 10 26.719 0.437 0 0 26.719 0.437 27.228 0.527 2012 11 27.030 1.492 0 0 27.030 1.492 27.187 1.230 2012 12 25.980 1.217 0 0 25.980 1.217 26.145 0.962 2013 1 26.004 1.491 0 0 26.004 1.491 25.796 0.864 2013 2 26.185 1.155 0 0 26.185 1.155 25.934 0.485 2013 3 27.792 1.872 0 0 27.792 1.872 27.068 0.729 2013 4 28.259 1.154 0 0 28.259 1.154 28.023 0.498 2013 5 28.106 0.131 0 0 28.106 0.131 28.926 0.532 2013 6 28.233 0.188 0 0 28.233 0.188 29.211 0.746 2013 7 27.607 -0.188 0 0 27.607 -0.188 28.552 0.337 2013 8 27.077 -0.481 0 0 27.077 -0.481 28.383 0.406 2013 9 27.374 0.264 0 0 27.374 0.264 28.267 0.738 2013 10 26.495 0.213 0 0 26.495 0.213 27.027 0.327 2013 11 26.716 1.178 1 0 NaN NaN NaN NaN