% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29287 % Primary Name: HALEYVIILLE / POSEY % Record Type: TAVG % Country: United States % State: AL % Latitude: 34.26700 +/- 0.00050 % Longitude: -87.60000 +/- 0.00050 % Elevation (m): 284.00 +/- 0.05 % # of Months: 69 % % IDs: gsod - 720413-99999 % icao - K1M4 % usaf - 720413 % % Sources: Global Summary of the Day % % Site Hash: 62da0443ff745aec53adbfda052d10b3 % Raw Data Hash: 2a24e041aa2688391d7ca5d4f570d2a9 % Adj Data Hash: 36920de4d9e8dc266f4f56002341d443 % % 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 2007 3 NaN NaN NaN NaN NaN NaN 14.942 4.413 2007 4 NaN NaN NaN NaN NaN NaN 15.003 -1.045 2007 5 NaN NaN NaN NaN NaN NaN 21.733 1.364 2007 6 NaN NaN NaN NaN NaN NaN 26.078 1.711 2007 7 NaN NaN NaN NaN NaN NaN 26.102 -0.097 2007 8 NaN NaN NaN NaN NaN NaN 29.607 3.880 2007 9 NaN NaN NaN NaN NaN NaN 24.710 2.186 2007 10 NaN NaN NaN NaN NaN NaN 18.281 2.447 2007 11 NaN NaN NaN NaN NaN NaN 10.858 0.812 2007 12 NaN NaN NaN NaN NaN NaN 9.153 3.302 2008 1 NaN NaN NaN NaN NaN NaN 3.255 -0.871 2008 2 NaN NaN NaN NaN NaN NaN 6.909 0.782 2008 3 11.045 1.491 0 0 11.045 1.491 11.278 0.749 2008 4 14.967 -0.106 0 0 14.967 -0.106 15.900 -0.148 2008 5 19.315 -0.079 0 0 19.315 -0.079 19.973 -0.396 2008 6 24.319 0.927 0 0 24.319 0.927 25.754 1.387 2008 7 25.425 0.201 0 0 25.425 0.201 26.828 0.629 2008 8 24.183 -0.568 0 0 24.183 -0.568 25.633 -0.093 2008 9 21.439 -0.110 0 0 21.439 -0.110 23.477 0.953 2008 10 14.525 -0.333 0 0 14.525 -0.333 15.805 -0.029 2008 11 8.102 -0.969 0 0 8.102 -0.969 9.053 -0.993 2008 12 6.435 1.560 0 0 6.435 1.560 6.726 0.875 2009 1 4.004 0.852 0 0 4.004 0.852 3.628 -0.498 2009 2 6.843 1.691 0 0 6.843 1.691 7.017 0.889 2009 3 11.875 2.321 0 0 11.875 2.321 12.094 1.565 2009 4 15.061 -0.012 0 0 15.061 -0.012 15.878 -0.170 2009 5 19.717 0.323 0 0 19.717 0.323 20.586 0.217 2009 6 24.898 1.506 0 0 24.898 1.506 26.017 1.650 2009 7 24.109 -1.115 0 0 24.109 -1.115 24.971 -1.228 2009 8 24.020 -0.731 0 0 24.020 -0.731 25.300 -0.426 2009 9 21.793 0.244 0 0 21.793 0.244 23.551 1.027 2009 10 14.453 -0.405 0 0 14.453 -0.405 15.062 -0.772 2009 11 10.219 1.148 0 0 10.219 1.148 11.496 1.450 2009 12 4.443 -0.433 0 0 4.443 -0.433 5.120 -0.731 2010 1 1.525 -1.626 0 0 1.525 -1.626 1.473 -2.653 2010 2 1.677 -3.476 0 0 1.677 -3.476 2.245 -3.882 2010 3 8.253 -1.301 0 0 8.253 -1.301 9.506 -1.023 2010 4 16.569 1.496 0 0 16.569 1.496 17.709 1.660 2010 5 20.833 1.439 0 0 20.833 1.439 21.864 1.495 2010 6 25.604 2.212 0 0 25.604 2.212 27.258 2.891 2010 7 26.842 1.618 0 0 26.842 1.618 28.093 1.894 2010 8 27.203 2.451 0 0 27.203 2.451 28.484 2.758 2010 9 23.052 1.503 0 0 23.052 1.503 24.444 1.921 2010 10 15.751 0.892 0 0 15.751 0.892 16.687 0.853 2010 11 10.176 1.105 0 0 10.176 1.105 11.519 1.473 2010 12 1.930 -2.946 0 0 1.930 -2.946 2.998 -2.853 2011 1 1.941 -1.210 0 0 1.941 -1.210 2.270 -1.857 2011 2 7.530 2.377 0 0 7.530 2.377 7.533 1.406 2011 3 11.375 1.821 0 0 11.375 1.821 11.913 1.384 2011 4 17.440 2.368 0 0 17.440 2.368 18.093 2.044 2011 5 19.552 0.158 0 0 19.552 0.158 20.273 -0.096 2011 6 25.570 2.179 0 0 25.570 2.179 27.015 2.648 2011 7 26.573 1.350 0 0 26.573 1.350 27.984 1.785 2011 8 26.718 1.967 1 0 NaN NaN 27.143 1.417 2011 9 19.741 -1.808 0 0 19.741 -1.808 21.628 -0.896 2011 10 13.778 -1.081 0 0 13.778 -1.081 14.785 -1.048 2011 11 11.161 2.090 0 0 11.161 2.090 12.134 2.088 2011 12 6.683 1.807 0 0 6.683 1.807 7.513 1.662 2012 1 7.835 4.684 0 0 7.835 4.684 7.485 3.359 2012 2 8.702 3.550 1 0 NaN NaN 8.342 2.215 2012 3 16.513 6.959 0 0 16.513 6.959 16.932 6.403 2012 4 16.476 1.403 0 0 16.476 1.403 17.648 1.600 2012 5 21.158 1.764 0 0 21.158 1.764 22.468 2.099 2012 6 24.061 0.669 0 0 24.061 0.669 25.061 0.694 2012 7 26.242 1.018 0 0 26.242 1.018 28.004 1.805 2012 8 23.891 -0.860 0 0 23.891 -0.860 25.532 -0.194 2012 9 20.644 -0.904 0 0 20.644 -0.904 22.491 -0.032 2012 10 14.192 -0.667 0 0 14.192 -0.667 15.221 -0.613 2012 11 8.241 -0.830 0 0 8.241 -0.830 9.414 -0.632 2012 12 8.204 3.329 0 0 8.204 3.329 9.201 3.350 2013 1 6.509 3.358 0 0 6.509 3.358 6.545 2.418 2013 2 5.913 0.760 0 0 5.913 0.760 6.232 0.104 2013 3 7.267 -2.287 0 0 7.267 -2.287 7.819 -2.710 2013 4 14.757 -0.316 0 0 14.757 -0.316 15.839 -0.209 2013 5 18.760 -0.634 0 0 18.760 -0.634 19.568 -0.801 2013 6 23.859 0.467 0 0 23.859 0.467 25.322 0.955 2013 7 23.849 -1.374 0 0 23.849 -1.374 25.198 -1.001 2013 8 23.962 -0.789 0 0 23.962 -0.789 25.273 -0.454 2013 9 21.865 0.316 0 0 21.865 0.316 23.732 1.208 2013 10 15.937 1.079 0 0 15.937 1.079 16.891 1.057 2013 11 12.153 3.083 1 0 NaN NaN NaN NaN