% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 139560 % Primary Name: DUQM % Record Type: TAVG % Country: Oman % Latitude: 19.61700 +/- 0.00050 % Longitude: 57.63300 +/- 0.00050 % Elevation (m): 40.00 +/- 0.05 % # of Months: 70 % % IDs: gsod - 412900-99999 % usaf - 412900 % % Sources: Global Summary of the Day % % Site Hash: 59620aa0bb4fcf1c8c3a6dd7431c66d8 % Raw Data Hash: 5a85fd36c88a390d375fd54781cd53ea % Adj Data Hash: da1d33808b0a3ae32f3107b047a3867b % % 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 6 NaN NaN NaN NaN NaN NaN 31.690 1.631 2004 7 NaN NaN NaN NaN NaN NaN 28.946 -0.069 2004 8 NaN NaN NaN NaN NaN NaN 28.203 0.425 2004 9 NaN NaN NaN NaN NaN NaN 27.356 0.115 2004 10 NaN NaN NaN NaN NaN NaN 27.615 1.101 2004 11 NaN NaN NaN NaN NaN NaN 26.650 1.631 2004 12 NaN NaN NaN NaN NaN NaN 23.561 1.047 2005 1 NaN NaN NaN NaN NaN NaN 21.226 0.361 2005 2 NaN NaN NaN NaN NaN NaN 22.546 1.140 2005 3 NaN NaN NaN NaN NaN NaN 25.564 1.706 2005 4 NaN NaN NaN NaN NaN NaN 27.950 1.266 2005 5 NaN NaN NaN NaN NaN NaN 30.288 0.782 2005 6 33.757 3.865 1 0 NaN NaN 31.662 1.602 2005 7 NaN NaN NaN NaN NaN NaN 29.360 0.345 2005 8 NaN NaN NaN NaN NaN NaN 29.699 1.921 2005 9 27.780 0.706 0 0 27.780 0.706 28.367 1.126 2005 10 26.211 -0.135 0 0 26.211 -0.135 27.023 0.509 2005 11 25.374 0.523 0 0 25.374 0.523 26.448 1.430 2005 12 22.382 0.036 0 0 22.382 0.036 23.600 1.086 2006 1 21.502 0.805 0 0 21.502 0.805 21.412 0.548 2006 2 23.000 1.762 0 0 23.000 1.762 23.211 1.805 2006 3 25.315 1.626 0 0 25.315 1.626 24.825 0.968 2006 4 29.228 2.712 0 0 29.228 2.712 28.017 1.333 2006 5 31.604 2.266 0 0 31.604 2.266 30.751 1.245 2006 6 31.462 1.570 0 0 31.462 1.570 30.606 0.546 2006 7 28.972 0.125 0 0 28.972 0.125 29.963 0.948 2006 8 28.724 1.114 1 0 NaN NaN 28.241 0.463 2006 9 28.626 1.552 0 0 28.626 1.552 28.950 1.709 2006 10 27.200 0.854 0 0 27.200 0.854 27.823 1.309 2006 11 25.465 0.614 0 0 25.465 0.614 26.608 1.589 2006 12 22.699 0.353 0 0 22.699 0.353 23.219 0.705 2007 1 20.564 -0.133 0 0 20.564 -0.133 21.186 0.321 2007 2 24.621 3.383 0 0 24.621 3.383 24.189 2.783 2007 3 25.482 1.792 0 0 25.482 1.792 25.025 1.168 2007 4 30.211 3.694 0 0 30.211 3.694 28.967 2.282 2007 5 32.086 2.748 0 0 32.086 2.748 31.303 1.797 2007 6 32.224 2.332 0 0 32.224 2.332 31.308 1.248 2007 7 30.933 2.086 0 0 30.933 2.086 31.025 2.010 2007 8 27.803 0.192 0 0 27.803 0.192 28.806 1.028 2007 9 28.232 1.158 0 0 28.232 1.158 28.794 1.552 2007 10 25.946 -0.400 0 0 25.946 -0.400 26.836 0.322 2007 11 25.693 0.842 0 0 25.693 0.842 27.067 2.048 2007 12 23.819 1.473 0 0 23.819 1.473 24.385 1.871 2008 1 21.654 0.958 0 0 21.654 0.958 21.819 0.955 2008 2 19.904 -1.335 1 0 NaN NaN 20.931 -0.475 2008 3 25.698 2.008 0 0 25.698 2.008 24.980 1.122 2008 4 29.652 3.135 0 0 29.652 3.135 28.298 1.614 2008 5 31.541 2.203 0 0 31.541 2.203 30.546 1.040 2008 6 32.703 2.811 0 0 32.703 2.811 31.920 1.860 2008 7 29.058 0.210 0 0 29.058 0.210 29.804 0.789 2008 8 27.400 -0.210 0 0 27.400 -0.210 27.886 0.108 2008 9 29.440 2.366 1 0 NaN NaN 28.490 1.249 2008 10 27.960 1.614 1 0 NaN NaN 27.815 1.301 2008 11 24.740 -0.111 0 0 24.740 -0.111 25.743 0.724 2008 12 20.545 -1.801 0 0 20.545 -1.801 21.862 -0.652 2009 1 20.034 -0.663 0 0 20.034 -0.663 20.641 -0.223 2009 2 23.084 1.846 0 0 23.084 1.846 23.030 1.624 2009 3 25.486 1.796 0 0 25.486 1.796 25.204 1.347 2009 4 27.572 1.056 0 0 27.572 1.056 27.096 0.412 2009 5 34.206 4.868 1 0 NaN NaN 31.463 1.957 2009 6 33.133 3.241 1 0 NaN NaN 31.235 1.175 2009 7 32.383 3.536 1 0 NaN NaN 31.032 2.017 2009 8 28.493 0.883 0 0 28.493 0.883 29.255 1.477 2009 9 28.217 1.143 0 0 28.217 1.143 28.719 1.478 2009 10 27.206 0.860 0 0 27.206 0.860 27.773 1.259 2009 11 24.735 -0.116 0 0 24.735 -0.116 26.225 1.207 2009 12 23.964 1.618 0 0 23.964 1.618 24.902 2.388 2010 1 21.113 0.416 0 0 21.113 0.416 21.972 1.108 2010 2 23.244 2.006 0 0 23.244 2.006 23.185 1.779 2010 3 26.523 2.834 0 0 26.523 2.834 26.423 2.566 2010 4 30.678 4.161 0 0 30.678 4.161 29.591 2.906 2010 5 32.545 3.206 0 0 32.545 3.206 31.396 1.890 2010 6 31.161 1.269 0 0 31.161 1.269 30.689 0.629 2010 7 28.901 0.054 0 0 28.901 0.054 29.445 0.430 2010 8 27.694 0.083 0 0 27.694 0.083 28.366 0.588 2010 9 27.789 0.716 0 0 27.789 0.716 28.284 1.042 2010 10 28.238 1.892 0 0 28.238 1.892 28.716 2.202 2010 11 25.859 1.008 0 0 25.859 1.008 26.426 1.407 2010 12 21.756 -0.590 0 0 21.756 -0.590 22.954 0.440 2011 1 21.079 0.382 0 0 21.079 0.382 21.853 0.989 2011 2 22.821 1.583 0 0 22.821 1.583 22.559 1.153 2011 3 26.006 2.316 0 0 26.006 2.316 25.423 1.565 2011 4 27.998 1.481 0 0 27.998 1.481 27.158 0.474 2011 5 31.280 1.942 1 0 NaN NaN 30.935 1.429 2011 6 NaN NaN NaN NaN NaN NaN 31.523 1.463 2011 7 NaN NaN NaN NaN NaN NaN 29.445 0.431 2011 8 NaN NaN NaN NaN NaN NaN 28.909 1.130 2011 9 NaN NaN NaN NaN NaN NaN 29.028 1.787 2011 10 NaN NaN NaN NaN NaN NaN 27.687 1.173 2011 11 NaN NaN NaN NaN NaN NaN 26.403 1.384 2011 12 NaN NaN NaN NaN NaN NaN 22.959 0.445 2012 1 NaN NaN NaN NaN NaN NaN 21.682 0.818 2012 2 NaN NaN NaN NaN NaN NaN 21.837 0.430 2012 3 NaN NaN NaN NaN NaN NaN 24.362 0.505 2012 4 NaN NaN NaN NaN NaN NaN 27.906 1.222 2012 5 NaN NaN NaN NaN NaN NaN 30.901 1.395