% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 155754 % Primary Name: BANDAR-E-DAYYER % Record Type: TAVG % Country: Iran % Latitude: 27.83300 +/- 0.00050 % Longitude: 51.93300 +/- 0.00050 % Elevation (m): 4.00 +/- 0.05 % # of Months: 71 % % IDs: gsod - 408720-99999 % usaf - 408720 % wmo - 40872 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 3b942b36bb5617125da838984bf5ff46 % Raw Data Hash: 193ccb1c9f01ac8cdab6a61d32e8646d % Adj Data Hash: 4ba256aebef1623120e0f4e5a2c0f348 % % 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 2007 1 NaN NaN NaN NaN NaN NaN 12.841 -1.205 2007 2 NaN NaN NaN NaN NaN NaN 16.966 1.071 2007 3 NaN NaN NaN NaN NaN NaN 20.606 0.815 2007 4 NaN NaN NaN NaN NaN NaN 25.890 1.632 2007 5 NaN NaN NaN NaN NaN NaN 31.819 2.561 2007 6 NaN NaN NaN NaN NaN NaN 34.124 1.777 2007 7 NaN NaN NaN NaN NaN NaN 35.007 1.298 2007 8 NaN NaN NaN NaN NaN NaN 34.836 1.493 2007 9 NaN NaN NaN NaN NaN NaN 32.283 1.487 2007 10 NaN NaN NaN NaN NaN NaN 27.767 1.502 2007 11 NaN NaN NaN NaN NaN NaN 22.276 1.580 2007 12 NaN NaN NaN NaN NaN NaN 16.211 0.491 2008 1 14.672 -0.805 1 0 NaN NaN 12.723 -1.322 2008 2 17.389 0.062 0 0 17.389 0.062 15.807 -0.088 2008 3 23.588 2.365 0 0 23.588 2.365 22.922 3.131 2008 4 26.604 0.915 0 0 26.604 0.915 26.016 1.758 2008 5 32.258 1.569 0 0 32.258 1.569 31.321 2.063 2008 6 34.206 0.428 0 0 34.206 0.428 33.898 1.551 2008 7 34.364 -0.776 0 0 34.364 -0.776 35.038 1.330 2008 8 34.214 -0.561 1 0 NaN NaN 34.908 1.565 2008 9 33.602 1.375 0 0 33.602 1.375 32.551 1.755 2008 10 29.404 1.707 0 0 29.404 1.707 27.441 1.176 2008 11 24.350 2.222 0 0 24.350 2.222 21.203 0.506 2008 12 18.799 1.648 0 0 18.799 1.648 15.338 -0.382 2009 1 16.250 0.773 0 0 16.250 0.773 13.384 -0.662 2009 2 20.171 2.844 0 0 20.171 2.844 18.495 2.599 2009 3 22.169 0.946 0 0 22.169 0.946 21.056 1.264 2009 4 24.768 -0.921 0 0 24.768 -0.921 23.920 -0.338 2009 5 32.686 1.997 1 0 NaN NaN 31.914 2.655 2009 6 34.511 0.733 1 0 NaN NaN 33.997 1.650 2009 7 33.354 -1.785 1 0 NaN NaN 35.096 1.388 2009 8 35.611 0.836 0 0 35.611 0.836 35.399 2.056 2009 9 33.676 1.449 0 0 33.676 1.449 32.172 1.376 2009 10 29.060 1.363 0 0 29.060 1.363 27.474 1.208 2009 11 25.408 3.280 0 0 25.408 3.280 22.166 1.469 2009 12 19.430 2.278 0 0 19.430 2.278 16.165 0.445 2010 1 18.663 3.186 0 0 18.663 3.186 16.027 1.981 2010 2 20.310 2.983 1 0 NaN NaN 18.741 2.845 2010 3 24.172 2.950 0 0 24.172 2.950 23.411 3.620 2010 4 28.303 2.615 0 0 28.303 2.615 26.638 2.380 2010 5 32.345 1.656 0 0 32.345 1.656 31.599 2.341 2010 6 33.253 -0.525 1 0 NaN NaN 34.713 2.366 2010 7 35.689 0.550 1 0 NaN NaN 35.703 1.995 2010 8 35.272 0.497 0 0 35.272 0.497 35.286 1.943 2010 9 33.707 1.480 0 0 33.707 1.480 32.977 2.181 2010 10 30.327 2.630 0 0 30.327 2.630 28.772 2.507 2010 11 25.278 3.150 0 0 25.278 3.150 21.811 1.114 2010 12 20.905 3.754 0 0 20.905 3.754 17.150 1.430 2011 1 18.270 2.793 0 0 18.270 2.793 15.167 1.122 2011 2 18.057 0.730 1 0 NaN NaN 16.383 0.487 2011 3 22.274 1.051 0 0 22.274 1.051 20.998 1.207 2011 4 26.977 1.289 0 0 26.977 1.289 25.899 1.641 2011 5 33.689 3.000 0 0 33.689 3.000 32.232 2.974 2011 6 35.318 1.540 0 0 35.318 1.540 34.656 2.309 2011 7 34.556 -0.584 0 0 34.556 -0.584 35.440 1.732 2011 8 34.797 0.023 0 0 34.797 0.023 35.239 1.896 2011 9 33.913 1.686 0 0 33.913 1.686 32.832 2.036 2011 10 29.383 1.686 0 0 29.383 1.686 27.238 0.972 2011 11 22.707 0.580 0 0 22.707 0.580 19.814 -0.883 2011 12 18.918 1.766 0 0 18.918 1.766 15.053 -0.668 2012 1 17.849 2.372 0 0 17.849 2.372 14.640 0.594 2012 2 18.375 1.048 0 0 18.375 1.048 16.142 0.246 2012 3 21.054 -0.169 0 0 21.054 -0.169 19.765 -0.027 2012 4 26.374 0.685 0 0 26.374 0.685 25.404 1.146 2012 5 33.161 2.472 0 0 33.161 2.472 32.396 3.138 2012 6 33.396 -0.382 0 0 33.396 -0.382 33.571 1.224 2012 7 34.515 -0.624 0 0 34.515 -0.624 35.515 1.807 2012 8 35.084 0.310 0 0 35.084 0.310 35.487 2.144 2012 9 33.265 1.038 0 0 33.265 1.038 32.336 1.540 2012 10 29.554 1.857 0 0 29.554 1.857 27.943 1.678 2012 11 24.656 2.528 0 0 24.656 2.528 21.713 1.017 2012 12 20.382 3.230 0 0 20.382 3.230 16.632 0.912 2013 1 18.484 3.007 0 0 18.484 3.007 15.601 1.555 2013 2 19.752 2.425 0 0 19.752 2.425 18.055 2.159 2013 3 22.833 1.611 0 0 22.833 1.611 22.098 2.307 2013 4 26.435 0.746 0 0 26.435 0.746 25.486 1.228 2013 5 31.034 0.345 0 0 31.034 0.345 30.018 0.759 2013 6 32.837 -0.941 0 0 32.837 -0.941 33.841 1.494 2013 7 34.930 -0.209 0 0 34.930 -0.209 35.702 1.994 2013 8 34.120 -0.655 1 0 NaN NaN 34.419 1.076 2013 9 33.043 0.816 0 0 33.043 0.816 32.124 1.328 2013 10 29.280 1.583 0 0 29.280 1.583 26.831 0.565 2013 11 26.131 4.003 1 0 NaN NaN NaN NaN