% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 143561 % Primary Name: HAGLER AAF % Record Type: TAVG % Country: United States % State: MS % Latitude: 31.28200 +/- 0.00050 % Longitude: -89.25300 +/- 0.00050 % Elevation (m): 46.00 +/- 0.05 % # of Months: 67 % % IDs: gsod - 722347-13833 % icao - KHBG % usaf - 722347 % wban - 13833 % % Sources: Global Summary of the Day % % Site Hash: e7dd18ff40c338663792bf8006b5349e % Raw Data Hash: 3c2dd3222ac70b3b15838d5e0d69d434 % Adj Data Hash: 4dd4a14529116852ff02618e2f4cf28e % % 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 2004 1 NaN NaN NaN NaN NaN NaN 8.448 -0.286 2004 2 NaN NaN NaN NaN NaN NaN 8.691 -1.849 2004 3 NaN NaN NaN NaN NaN NaN 16.779 2.383 2004 4 NaN NaN NaN NaN NaN NaN 18.085 -0.677 2004 5 NaN NaN NaN NaN NaN NaN 23.236 0.640 2004 6 NaN NaN NaN NaN NaN NaN 26.593 0.635 2004 7 NaN NaN NaN NaN NaN NaN 27.588 0.352 2004 8 NaN NaN NaN NaN NaN NaN 26.027 -0.918 2004 9 NaN NaN NaN NaN NaN NaN 25.488 0.849 2004 10 NaN NaN NaN NaN NaN NaN 22.208 3.709 2004 11 NaN NaN NaN NaN NaN NaN 16.347 3.076 2004 12 NaN NaN NaN NaN NaN NaN 8.957 -0.905 2005 1 11.799 3.209 0 0 11.799 3.209 11.284 2.550 2005 2 12.645 2.247 0 0 12.645 2.247 12.073 1.533 2005 3 13.464 -0.789 0 0 13.464 -0.789 13.841 -0.555 2005 4 17.906 -0.713 0 0 17.906 -0.713 18.087 -0.674 2005 5 21.832 -0.622 0 0 21.832 -0.622 22.049 -0.547 2005 6 25.754 -0.061 0 0 25.754 -0.061 26.524 0.567 2005 7 26.758 -0.335 0 0 26.758 -0.335 27.969 0.734 2005 8 27.002 0.200 0 0 27.002 0.200 28.005 1.060 2005 9 26.644 2.148 1 0 NaN NaN 27.097 2.458 2005 10 18.652 0.296 0 0 18.652 0.296 18.776 0.277 2005 11 14.787 1.659 0 0 14.787 1.659 15.052 1.780 2005 12 8.849 -0.869 0 0 8.849 -0.869 8.871 -0.990 2006 1 12.781 4.191 0 0 12.781 4.191 11.978 3.244 2006 2 10.343 -0.054 0 0 10.343 -0.054 9.648 -0.893 2006 3 15.787 1.534 0 0 15.787 1.534 15.751 1.355 2006 4 21.367 2.748 0 0 21.367 2.748 21.639 2.877 2006 5 23.414 0.961 0 0 23.414 0.961 23.283 0.687 2006 6 26.680 0.865 0 0 26.680 0.865 27.448 1.491 2006 7 27.038 -0.055 0 0 27.038 -0.055 28.598 1.362 2006 8 28.529 1.727 0 0 28.529 1.727 28.942 1.997 2006 9 25.202 0.706 0 0 25.202 0.706 24.793 0.155 2006 10 19.272 0.916 0 0 19.272 0.916 18.691 0.192 2006 11 12.298 -0.830 0 0 12.298 -0.830 13.107 -0.165 2006 12 10.306 0.588 0 0 10.306 0.588 11.053 1.191 2007 1 9.651 1.060 0 0 9.651 1.060 9.326 0.592 2007 2 9.577 -0.820 0 0 9.577 -0.820 9.033 -1.508 2007 3 16.860 2.607 0 0 16.860 2.607 16.779 2.383 2007 4 17.657 -0.961 0 0 17.657 -0.961 17.633 -1.129 2007 5 22.652 0.199 0 0 22.652 0.199 22.853 0.257 2007 6 26.252 0.437 0 0 26.252 0.437 27.166 1.209 2007 7 26.450 -0.643 0 0 26.450 -0.643 27.238 0.002 2007 8 28.815 2.014 0 0 28.815 2.014 29.618 2.673 2007 9 25.352 0.856 0 0 25.352 0.856 26.366 1.728 2007 10 20.140 1.784 0 0 20.140 1.784 20.052 1.553 2007 11 14.200 1.072 0 0 14.200 1.072 14.074 0.803 2007 12 13.513 3.794 0 0 13.513 3.794 13.211 3.350 2008 1 8.715 0.124 0 0 8.715 0.124 7.685 -1.049 2008 2 12.525 2.127 0 0 12.525 2.127 11.223 0.683 2008 3 15.507 1.254 0 0 15.507 1.254 14.886 0.489 2008 4 19.424 0.805 0 0 19.424 0.805 18.977 0.215 2008 5 24.052 1.599 0 0 24.052 1.599 22.968 0.372 2008 6 26.963 1.148 0 0 26.963 1.148 27.314 1.356 2008 7 27.928 0.835 0 0 27.928 0.835 27.947 0.712 2008 8 26.679 -0.123 0 0 26.679 -0.123 26.718 -0.227 2008 9 24.483 -0.012 0 0 24.483 -0.012 25.278 0.639 2008 10 17.864 -0.492 0 0 17.864 -0.492 17.903 -0.596 2008 11 12.598 -0.530 0 0 12.598 -0.530 12.722 -0.549 2008 12 11.986 2.267 0 0 11.986 2.267 11.985 2.123 2009 1 10.285 1.694 0 0 10.285 1.694 9.413 0.679 2009 2 11.740 1.343 0 0 11.740 1.343 11.056 0.516 2009 3 16.013 1.759 0 0 16.013 1.759 16.374 1.977 2009 4 18.719 0.100 0 0 18.719 0.100 18.676 -0.086 2009 5 23.013 0.559 0 0 23.013 0.559 23.476 0.880 2009 6 27.991 2.176 0 0 27.991 2.176 28.152 2.194 2009 7 27.351 0.258 0 0 27.351 0.258 27.680 0.444 2009 8 26.387 -0.415 0 0 26.387 -0.415 26.835 -0.110 2009 9 24.704 0.208 0 0 24.704 0.208 26.297 1.658 2009 10 19.134 0.778 0 0 19.134 0.778 18.973 0.473 2009 11 12.681 -0.447 0 0 12.681 -0.447 13.387 0.115 2009 12 8.663 -1.055 0 0 8.663 -1.055 9.098 -0.763 2010 1 6.249 -2.342 0 0 6.249 -2.342 5.918 -2.816 2010 2 6.294 -4.104 0 0 6.294 -4.104 5.970 -4.571 2010 3 12.192 -2.061 0 0 12.192 -2.061 12.416 -1.980 2010 4 19.169 0.550 0 0 19.169 0.550 19.486 0.724 2010 5 24.427 1.973 0 0 24.427 1.973 24.601 2.005 2010 6 27.374 1.559 0 0 27.374 1.559 28.684 2.727 2010 7 27.849 0.757 0 0 27.849 0.757 29.072 1.836 2010 8 NaN NaN NaN NaN NaN NaN 29.090 2.145 2010 9 NaN NaN NaN NaN NaN NaN 26.771 2.132 2010 10 NaN NaN NaN NaN NaN NaN 19.413 0.914 2010 11 NaN NaN NaN NaN NaN NaN 14.774 1.502 2010 12 NaN NaN NaN NaN NaN NaN 7.211 -2.650 2011 1 NaN NaN NaN NaN NaN NaN 6.984 -1.750 2011 2 NaN NaN NaN NaN NaN NaN 10.882 0.342 2011 3 NaN NaN NaN NaN NaN NaN 16.476 2.079 2011 4 NaN NaN NaN NaN NaN NaN 20.906 2.144 2011 5 NaN NaN NaN NaN NaN NaN 22.433 -0.163 2011 6 NaN NaN NaN NaN NaN NaN 28.915 2.957 2011 7 NaN NaN NaN NaN NaN NaN 28.502 1.266