% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 2572 % Primary Name: FOB SHINWAR % Record Type: TAVG % Country: Afghanistan % Latitude: 34.18300 +/- 0.00050 % Longitude: 70.81700 +/- 0.00050 % Elevation (m): 653.00 +/- 0.05 % # of Months: 39 % % IDs: gsod - 696494-99999 % icao - KQOW % usaf - 696494 % % Sources: Global Summary of the Day % % Site Hash: 47a2eb7b60b84b9621f918715b5f1cc1 % Raw Data Hash: 64f8c32ac2961eda3d0637831a722dfc % Adj Data Hash: 89615fba329078fd8e1eb0d39f0db931 % % 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 12.307 4.891 2008 4 NaN NaN NaN NaN NaN NaN 13.959 0.855 2008 5 NaN NaN NaN NaN NaN NaN 20.534 2.296 2008 6 NaN NaN NaN NaN NaN NaN 25.858 2.383 2008 7 NaN NaN NaN NaN NaN NaN 25.057 0.531 2008 8 NaN NaN NaN NaN NaN NaN 23.604 0.112 2008 9 NaN NaN NaN NaN NaN NaN 20.615 0.676 2008 10 NaN NaN NaN NaN NaN NaN 15.845 2.015 2008 11 NaN NaN NaN NaN NaN NaN 8.021 0.711 2008 12 NaN NaN NaN NaN NaN NaN 4.140 1.857 2009 1 NaN NaN NaN NaN NaN NaN 1.716 1.905 2009 2 NaN NaN NaN NaN NaN NaN 3.522 1.462 2009 3 17.463 0.816 0 0 17.463 0.816 9.315 1.898 2009 4 21.619 -0.715 0 0 21.619 -0.715 11.983 -1.121 2009 5 30.418 2.949 0 0 30.418 2.949 18.945 0.706 2009 6 32.521 -0.184 1 0 NaN NaN 21.750 -1.725 2009 7 32.022 -1.733 1 0 NaN NaN 25.199 0.674 2009 8 32.538 -0.185 0 0 32.538 -0.185 25.005 1.513 2009 9 30.695 1.526 0 0 30.695 1.526 21.450 1.510 2009 10 24.444 1.384 0 0 24.444 1.384 13.996 0.166 2009 11 17.081 0.542 0 0 17.081 0.542 7.125 -0.185 2009 12 12.955 1.442 0 0 12.955 1.442 3.221 0.937 2010 1 12.722 3.681 0 0 12.722 3.681 3.538 3.727 2010 2 12.268 0.977 0 0 12.268 0.977 2.718 0.658 2010 3 22.239 5.593 0 0 22.239 5.593 12.780 5.363 2010 4 24.935 2.601 1 0 NaN NaN 15.874 2.770 2010 5 31.358 3.889 1 0 NaN NaN 18.767 0.528 2010 6 NaN NaN NaN NaN NaN NaN 22.836 -0.639 2010 7 31.892 -1.863 1 0 NaN NaN 24.264 -0.262 2010 8 29.412 -3.310 0 0 29.412 -3.310 22.922 -0.570 2010 9 28.280 -0.890 0 0 28.280 -0.890 19.643 -0.296 2010 10 25.328 2.267 0 0 25.328 2.267 16.151 2.320 2010 11 17.922 1.383 0 0 17.922 1.383 8.516 1.207 2010 12 11.513 -0.001 0 0 11.513 -0.001 3.523 1.240 2011 1 10.080 1.039 0 0 10.080 1.039 1.618 1.807 2011 2 11.442 0.151 0 0 11.442 0.151 2.268 0.208 2011 3 19.099 2.452 0 0 19.099 2.452 9.940 2.524 2011 4 23.238 0.904 0 0 23.238 0.904 14.201 1.097 2011 5 33.152 5.684 0 0 33.152 5.684 21.964 3.725 2011 6 35.178 2.473 0 0 35.178 2.473 26.155 2.680 2011 7 32.917 -0.839 1 0 NaN NaN 24.850 0.325 2011 8 NaN NaN NaN NaN NaN NaN 24.329 0.837 2011 9 30.967 1.797 0 0 30.967 1.797 21.133 1.193 2011 10 28.171 5.111 1 0 NaN NaN 14.532 0.702 2011 11 18.199 1.659 1 0 NaN NaN 9.075 1.765 2011 12 10.165 -1.348 1 0 NaN NaN 2.725 0.441 2012 1 8.292 -0.749 0 0 8.292 -0.749 -1.531 -1.342 2012 2 9.332 -1.959 1 0 NaN NaN -0.919 -2.980 2012 3 15.356 -1.291 1 0 NaN NaN 7.342 -0.074 2012 4 21.890 -0.444 1 0 NaN NaN 13.936 0.832 2012 5 27.398 -0.071 0 0 27.398 -0.071 17.946 -0.293 2012 6 33.389 0.684 0 0 33.389 0.684 24.156 0.681 2012 7 34.585 0.830 0 0 34.585 0.830 25.823 1.298 2012 8 NaN NaN NaN NaN NaN NaN 24.621 1.128 2012 9 NaN NaN NaN NaN NaN NaN 20.295 0.356 2012 10 NaN NaN NaN NaN NaN NaN 14.139 0.309 2012 11 NaN NaN NaN NaN NaN NaN 7.957 0.648 2012 12 NaN NaN NaN NaN NaN NaN 2.688 0.404 2013 1 NaN NaN NaN NaN NaN NaN 0.274 0.463 2013 2 NaN NaN NaN NaN NaN NaN 3.072 1.011 2013 3 NaN NaN NaN NaN NaN NaN 9.672 2.255 2013 4 NaN NaN NaN NaN NaN NaN 12.989 -0.115 2013 5 NaN NaN NaN NaN NaN NaN 19.645 1.407 2013 6 NaN NaN NaN NaN NaN NaN 25.207 1.732 2013 7 NaN NaN NaN NaN NaN NaN 25.650 1.125