% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 2548 % Primary Name: FOB WARRIOR % Record Type: TAVG % Country: Afghanistan % Latitude: 32.74000 +/- 0.00500 % Longitude: 67.63000 +/- 0.00500 % Elevation (m): 1993.00 +/- 0.05 % # of Months: 51 % % IDs: gsod - 690246-99999 % icao - KQC3 % usaf - 690246 % % Sources: Global Summary of the Day % % Site Hash: e97bfb936d94d197e0e3c358234d3a5d % Raw Data Hash: e20e81a4612478a4a330328bb4c93782 % Adj Data Hash: c111e096811624fedf89f54d67b7f1a8 % % 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 2008 3 NaN NaN NaN NaN NaN NaN 9.790 4.628 2008 4 NaN NaN NaN NaN NaN NaN 12.222 1.225 2008 5 NaN NaN NaN NaN NaN NaN 18.316 2.405 2008 6 NaN NaN NaN NaN NaN NaN 23.027 2.122 2008 7 NaN NaN NaN NaN NaN NaN 23.184 0.634 2008 8 NaN NaN NaN NaN NaN NaN 21.660 0.215 2008 9 NaN NaN NaN NaN NaN NaN 18.168 0.927 2008 10 NaN NaN NaN NaN NaN NaN 13.235 2.133 2008 11 NaN NaN NaN NaN NaN NaN 5.331 0.402 2008 12 NaN NaN NaN NaN NaN NaN 1.503 1.647 2009 1 NaN NaN NaN NaN NaN NaN -1.559 1.699 2009 2 NaN NaN NaN NaN NaN NaN 1.779 2.561 2009 3 11.048 3.762 1 0 NaN NaN 7.455 2.292 2009 4 11.885 -1.235 1 0 NaN NaN 10.547 -0.450 2009 5 20.491 2.457 0 0 20.491 2.457 17.254 1.342 2009 6 22.402 -0.627 0 0 22.402 -0.627 19.675 -1.230 2009 7 26.548 1.875 0 0 26.548 1.875 23.608 1.058 2009 8 26.106 2.538 0 0 26.106 2.538 23.603 2.159 2009 9 20.630 1.265 0 0 20.630 1.265 18.966 1.725 2009 10 11.665 -1.561 0 0 11.665 -1.561 10.540 -0.562 2009 11 7.825 0.772 1 0 NaN NaN 5.518 0.589 2009 12 1.391 -0.588 1 0 NaN NaN 0.412 0.556 2010 1 1.995 3.129 0 0 1.995 3.129 0.615 3.873 2010 2 5.888 4.546 1 0 NaN NaN 0.900 1.682 2010 3 11.758 4.472 0 0 11.758 4.472 10.397 5.234 2010 4 16.638 3.517 0 0 16.638 3.517 14.318 3.321 2010 5 19.690 1.656 1 0 NaN NaN 17.400 1.489 2010 6 23.638 0.610 1 0 NaN NaN 21.058 0.153 2010 7 26.671 1.998 1 0 NaN NaN 22.614 0.064 2010 8 22.729 -0.839 1 0 NaN NaN 21.127 -0.318 2010 9 NaN NaN NaN NaN NaN NaN 17.385 0.144 2010 10 14.479 1.253 1 0 NaN NaN 13.597 2.495 2010 11 2.699 -4.354 1 0 NaN NaN 5.772 0.843 2010 12 0.718 -1.261 0 0 0.718 -1.261 0.353 0.497 2011 1 0.198 1.333 0 0 0.198 1.333 -1.367 1.891 2011 2 1.766 0.425 1 0 NaN NaN -1.253 -0.471 2011 3 10.267 2.981 1 0 NaN NaN 7.218 2.055 2011 4 14.669 1.548 0 0 14.669 1.548 11.728 0.731 2011 5 22.639 4.604 0 0 22.639 4.604 19.515 3.604 2011 6 25.946 2.918 0 0 25.946 2.918 23.721 2.815 2011 7 26.224 1.550 0 0 26.224 1.550 23.251 0.700 2011 8 26.002 2.434 0 0 26.002 2.434 22.613 1.168 2011 9 20.494 1.130 0 0 20.494 1.130 18.372 1.130 2011 10 14.079 0.853 0 0 14.079 0.853 12.304 1.202 2011 11 9.385 2.333 0 0 9.385 2.333 7.493 2.564 2011 12 0.700 -1.279 0 0 0.700 -1.279 -0.103 0.041 2012 1 -0.918 0.216 1 0 NaN NaN -5.145 -1.887 2012 2 -3.780 -5.121 1 0 NaN NaN -3.568 -2.786 2012 3 5.739 -1.547 1 0 NaN NaN 5.265 0.102 2012 4 14.304 1.183 0 0 14.304 1.183 11.514 0.516 2012 5 19.335 1.301 0 0 19.335 1.301 16.267 0.356 2012 6 23.204 0.175 0 0 23.204 0.175 20.969 0.064 2012 7 26.733 2.059 0 0 26.733 2.059 23.850 1.299 2012 8 25.226 1.658 0 0 25.226 1.658 22.968 1.523 2012 9 19.669 0.304 0 0 19.669 0.304 17.931 0.690 2012 10 13.104 -0.122 0 0 13.104 -0.122 11.312 0.210 2012 11 6.963 -0.089 0 0 6.963 -0.089 5.221 0.292 2012 12 -0.642 -2.621 0 0 -0.642 -2.621 -1.117 -0.973 2013 1 -1.219 -0.084 0 0 -1.219 -0.084 -2.942 0.315 2013 2 2.091 0.749 0 0 2.091 0.749 -0.044 0.738 2013 3 9.565 2.279 1 0 NaN NaN 7.278 2.115 2013 4 12.896 -0.224 0 0 12.896 -0.224 10.665 -0.332 2013 5 19.709 1.674 0 0 19.709 1.674 17.103 1.191 2013 6 25.423 2.394 0 0 25.423 2.394 23.339 2.434 2013 7 NaN NaN NaN NaN NaN NaN 24.310 1.760 2013 8 NaN NaN NaN NaN NaN NaN 22.437 0.993 2013 9 NaN NaN NaN NaN NaN NaN 19.733 2.492 2013 10 NaN NaN NaN NaN NaN NaN 13.278 2.176