% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26808 % Primary Name: WEEKS BAY RESERVE % Record Type: TAVG % Country: United States % State: AL % Latitude: 30.41700 +/- 0.00050 % Longitude: -87.83300 +/- 0.00050 % Elevation (m): 0.00 +/- 0.05 % # of Months: 51 % % IDs: gsod - 998016-99999 % icao - WKXA1 % usaf - 998016 % % Sources: Global Summary of the Day % % Site Hash: ec604c4626eb8bd1248427284006fb7c % Raw Data Hash: 65a96e39329460360d26620b85e8b436 % Adj Data Hash: 730303c96d960505c8aa66b3ce94409f % % 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 10 NaN NaN NaN NaN NaN NaN 23.069 0.748 2006 11 NaN NaN NaN NaN NaN NaN 17.822 -0.283 2006 12 NaN NaN NaN NaN NaN NaN 15.976 0.884 2007 1 NaN NaN NaN NaN NaN NaN 13.993 0.558 2007 2 NaN NaN NaN NaN NaN NaN 12.733 -1.243 2007 3 NaN NaN NaN NaN NaN NaN 18.206 1.694 2007 4 NaN NaN NaN NaN NaN NaN 19.620 -0.410 2007 5 NaN NaN NaN NaN NaN NaN 23.736 0.161 2007 6 NaN NaN NaN NaN NaN NaN 27.276 0.936 2007 7 NaN NaN NaN NaN NaN NaN 27.684 0.414 2007 8 NaN NaN NaN NaN NaN NaN 29.292 1.809 2007 9 NaN NaN NaN NaN NaN NaN 28.054 1.559 2007 10 18.519 -1.506 1 0 NaN NaN 23.747 1.427 2007 11 14.671 -1.140 0 0 14.568 -1.243 18.926 0.821 2007 12 14.129 1.332 0 0 14.026 1.229 18.107 3.016 2008 1 9.434 -1.707 1 0 NaN NaN 12.948 -0.487 2008 2 13.151 1.470 0 0 13.048 1.367 15.177 1.201 2008 3 14.649 0.431 0 0 14.546 0.328 16.542 0.030 2008 4 18.724 0.989 0 0 18.621 0.886 20.390 0.360 2008 5 22.873 1.593 0 0 22.770 1.490 24.153 0.579 2008 6 26.447 2.401 0 0 26.344 2.298 27.740 1.399 2008 7 NaN NaN NaN NaN NaN NaN 28.088 0.818 2008 8 NaN NaN NaN NaN NaN NaN 27.537 0.054 2008 9 NaN NaN NaN NaN NaN NaN 27.045 0.550 2008 10 NaN NaN NaN NaN NaN NaN 21.989 -0.332 2008 11 NaN NaN NaN NaN NaN NaN 17.721 -0.385 2008 12 NaN NaN NaN NaN NaN NaN 16.955 1.864 2009 1 NaN NaN NaN NaN NaN NaN 14.238 0.803 2009 2 NaN NaN NaN NaN NaN NaN 14.718 0.742 2009 3 NaN NaN NaN NaN NaN NaN 18.172 1.660 2009 4 NaN NaN NaN NaN NaN NaN 20.095 0.066 2009 5 NaN NaN NaN NaN NaN NaN 24.607 1.033 2009 6 29.274 5.229 1 0 NaN NaN 28.137 1.797 2009 7 26.794 1.818 0 2 26.815 1.839 28.053 0.782 2009 8 25.575 0.387 0 0 25.596 0.408 27.693 0.210 2009 9 25.289 1.089 0 0 25.310 1.109 27.934 1.439 2009 10 20.844 0.818 0 0 20.865 0.839 23.457 1.137 2009 11 13.633 -2.177 0 0 13.654 -2.156 18.039 -0.066 2009 12 11.493 -1.304 1 0 NaN NaN 14.397 -0.695 2010 1 9.297 -1.843 1 0 NaN NaN 10.420 -3.015 2010 2 7.506 -4.175 0 0 7.527 -4.155 9.713 -4.263 2010 3 12.538 -1.680 0 0 12.558 -1.659 14.445 -2.067 2010 4 18.700 0.965 0 0 18.721 0.986 20.443 0.414 2010 5 24.192 2.912 1 0 NaN NaN 25.431 1.857 2010 6 25.578 1.532 1 0 NaN NaN 28.808 2.468 2010 7 NaN NaN NaN NaN NaN NaN 28.804 1.534 2010 8 NaN NaN NaN NaN NaN NaN 29.093 1.610 2010 9 NaN NaN NaN NaN NaN NaN 28.281 1.786 2010 10 NaN NaN NaN NaN NaN NaN 22.886 0.565 2010 11 NaN NaN NaN NaN NaN NaN 19.343 1.237 2010 12 NaN NaN NaN NaN NaN NaN 12.222 -2.870 2011 1 NaN NaN NaN NaN NaN NaN 11.441 -1.994 2011 2 NaN NaN NaN NaN NaN NaN 13.399 -0.577 2011 3 17.539 3.321 0 0 17.559 3.342 18.588 2.076 2011 4 21.094 3.360 0 0 21.115 3.380 22.232 2.202 2011 5 22.452 1.172 0 0 22.472 1.193 23.799 0.225 2011 6 28.191 4.145 0 0 28.211 4.166 28.832 2.492 2011 7 27.486 2.510 0 0 27.506 2.531 28.411 1.141 2011 8 28.233 3.045 0 0 28.254 3.065 29.725 2.242 2011 9 23.857 -0.343 0 0 23.878 -0.322 26.496 0.001 2011 10 17.590 -2.436 0 0 17.610 -2.415 21.405 -0.916 2011 11 15.554 -0.257 0 0 15.574 -0.236 18.929 0.824 2011 12 12.539 -0.258 0 0 12.560 -0.237 16.242 1.150 2012 1 13.371 2.231 0 0 13.392 2.251 15.882 2.447 2012 2 14.391 2.709 0 0 14.411 2.730 15.760 1.784 2012 3 19.423 5.206 0 0 19.444 5.226 20.791 4.278 2012 4 20.074 2.339 0 0 20.095 2.360 21.640 1.610 2012 5 24.305 3.025 1 0 NaN NaN 25.357 1.783 2012 6 25.731 1.686 0 0 25.752 1.707 27.012 0.671 2012 7 26.830 1.854 0 0 26.850 1.875 27.867 0.596 2012 8 26.663 1.475 0 0 26.684 1.495 27.889 0.405 2012 9 24.517 0.316 0 0 24.537 0.337 27.110 0.615 2012 10 19.253 -0.773 0 0 19.273 -0.752 22.286 -0.035 2012 11 13.233 -2.577 0 0 13.254 -2.556 17.624 -0.481 2012 12 13.244 0.447 0 0 13.264 0.467 17.047 1.955 2013 1 13.355 2.215 0 0 13.375 2.235 15.414 1.979 2013 2 12.361 0.680 0 0 12.382 0.700 14.899 0.923 2013 3 12.297 -1.920 0 0 12.318 -1.899 14.662 -1.850 2013 4 17.517 -0.218 0 0 17.537 -0.197 19.931 -0.099 2013 5 19.486 -1.793 0 0 19.507 -1.773 22.669 -0.906 2013 6 23.606 -0.440 0 0 23.626 -0.419 27.838 1.498 2013 7 20.457 -4.519 1 0 NaN NaN 27.174 -0.096 2013 8 NaN NaN NaN NaN NaN NaN 27.688 0.205 2013 9 NaN NaN NaN NaN NaN NaN 28.184 1.689 2013 10 NaN NaN NaN NaN NaN NaN 23.579 1.259