% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 16599 % Primary Name: TARAZ % Record Type: TAVG % Country: Kazakhstan % Latitude: 42.85000 +/- 0.00500 % Longitude: 71.30000 +/- 0.00500 % Elevation (m): 666.00 +/- 0.05 % # of Months: 67 % % IDs: gsod - 383285-99999 % icao - UADD % usaf - 383285 % % Sources: Global Summary of the Day % % Site Hash: 78848d99791110268534dd240bab2613 % Raw Data Hash: 6a98116c4acdd51ca902a9fca6f8e08f % Adj Data Hash: c9e0059e9cfea9ba2efdaca511c91ceb % % 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 8 NaN NaN NaN NaN NaN NaN 18.589 1.085 2006 9 NaN NaN NaN NaN NaN NaN 12.702 -0.005 2006 10 NaN NaN NaN NaN NaN NaN 9.449 3.445 2006 11 NaN NaN NaN NaN NaN NaN 1.564 2.201 2006 12 NaN NaN NaN NaN NaN NaN -5.806 -0.336 2007 1 NaN NaN NaN NaN NaN NaN -5.575 2.762 2007 2 NaN NaN NaN NaN NaN NaN -2.192 4.238 2007 3 NaN NaN NaN NaN NaN NaN 0.449 0.640 2007 4 NaN NaN NaN NaN NaN NaN 11.086 3.767 2007 5 NaN NaN NaN NaN NaN NaN 13.219 0.743 2007 6 NaN NaN NaN NaN NaN NaN 18.877 1.785 2007 7 NaN NaN NaN NaN NaN NaN 20.157 0.799 2007 8 24.878 3.036 1 0 NaN NaN 18.045 0.540 2007 9 18.168 1.124 1 0 NaN NaN 14.083 1.376 2007 10 11.262 0.921 0 0 11.247 0.906 5.319 -0.685 2007 11 6.348 2.648 0 0 6.333 2.633 2.369 3.005 2007 12 -4.839 -3.707 0 0 -4.854 -3.722 -6.716 -1.247 2008 1 -11.719 -7.719 0 0 -11.734 -7.734 -14.194 -5.857 2008 2 -4.211 -2.118 0 0 -4.226 -2.133 -8.177 -1.747 2008 3 10.439 6.293 0 0 10.424 6.278 6.330 6.521 2008 4 13.174 1.518 0 0 13.159 1.503 9.352 2.033 2008 5 21.222 4.409 0 0 21.207 4.394 15.672 3.195 2008 6 25.728 4.298 0 0 25.713 4.283 20.112 3.019 2008 7 27.203 3.507 0 0 27.187 3.492 21.075 1.717 2008 8 25.332 3.490 0 0 25.317 3.475 19.332 1.827 2008 9 17.298 0.253 0 0 17.283 0.238 12.886 0.179 2008 10 12.027 1.685 0 0 12.012 1.670 7.280 1.276 2008 11 4.213 0.513 0 0 4.198 0.498 0.500 1.137 2008 12 -2.387 -1.255 0 0 -2.402 -1.270 -4.585 0.885 2009 1 -2.389 1.611 0 0 -2.404 1.596 -5.881 2.456 2009 2 1.113 3.206 0 0 1.098 3.191 -2.719 3.711 2009 3 7.036 2.890 0 0 7.021 2.875 3.153 3.344 2009 4 10.076 -1.580 0 0 10.061 -1.595 6.362 -0.957 2009 5 16.579 -0.235 0 0 16.564 -0.250 11.681 -0.795 2009 6 22.057 0.628 0 0 22.042 0.613 16.542 -0.550 2009 7 25.717 2.022 0 0 25.702 2.007 19.643 0.285 2009 8 23.590 1.748 0 0 23.575 1.733 17.558 0.053 2009 9 18.057 1.013 0 0 18.042 0.998 12.969 0.261 2009 10 11.197 0.855 0 0 11.182 0.840 7.407 1.402 2009 11 3.433 -0.267 0 0 3.418 -0.282 -0.053 0.584 2009 12 0.233 1.365 0 0 0.218 1.350 -3.076 2.393 2010 1 -0.066 3.934 0 0 -0.081 3.919 -3.745 4.592 2010 2 -4.815 -2.723 0 0 -4.831 -2.738 -6.747 -0.317 2010 3 5.805 1.659 0 0 5.790 1.644 2.438 2.629 2010 4 12.641 0.985 0 0 12.626 0.970 9.061 1.742 2010 5 17.346 0.532 0 0 17.331 0.517 12.175 -0.302 2010 6 23.322 1.892 0 0 23.307 1.877 17.532 0.440 2010 7 24.996 1.301 0 0 24.981 1.286 19.061 -0.298 2010 8 25.082 3.241 0 0 25.067 3.226 18.717 1.212 2010 9 17.596 0.552 0 0 17.581 0.537 12.837 0.130 2010 10 12.892 2.551 0 0 12.877 2.536 8.667 2.663 2010 11 6.233 2.533 0 0 6.218 2.518 2.216 2.853 2010 12 -2.364 -1.232 0 0 -2.379 -1.247 -4.655 0.814 2011 1 -6.147 -2.147 0 0 -6.162 -2.162 -8.479 -0.142 2011 2 -2.734 -0.641 0 0 -2.749 -0.656 -5.911 0.519 2011 3 3.427 -0.719 0 0 3.411 -0.734 -0.153 0.038 2011 4 14.330 2.674 0 0 14.315 2.659 10.464 3.145 2011 5 18.840 2.027 0 0 18.825 2.012 13.856 1.380 2011 6 23.417 1.987 0 0 23.402 1.972 17.773 0.681 2011 7 25.916 2.221 0 0 25.901 2.205 20.112 0.754 2011 8 24.751 2.909 0 0 24.736 2.894 18.665 1.160 2011 9 19.050 2.005 0 0 19.035 1.990 14.145 1.438 2011 10 15.394 5.052 1 0 NaN NaN 7.503 1.498 2011 11 NaN NaN NaN NaN NaN NaN -1.462 -0.826 2011 12 NaN NaN NaN NaN NaN NaN -8.687 -3.218 2012 1 NaN NaN NaN NaN NaN NaN -10.170 -1.833 2012 2 NaN NaN NaN NaN NaN NaN -9.933 -3.503 2012 3 NaN NaN NaN NaN NaN NaN -0.633 -0.442 2012 4 NaN NaN NaN NaN NaN NaN 12.004 4.686 2012 5 21.385 4.571 1 0 NaN NaN 13.765 1.289 2012 6 NaN NaN NaN NaN NaN NaN 18.492 1.399 2012 7 NaN NaN NaN NaN NaN NaN 20.256 0.898 2012 8 NaN NaN NaN NaN NaN NaN 19.173 1.668 2012 9 16.032 -1.013 1 0 NaN NaN 13.490 0.782 2012 10 11.667 1.325 0 2 11.722 1.380 7.566 1.562 2012 11 1.467 -2.234 0 0 1.522 -2.178 -1.559 -0.922 2012 12 -7.525 -6.393 0 0 -7.470 -6.337 -8.902 -3.432 2013 1 -0.618 3.382 0 0 -0.563 3.437 -5.493 2.844 2013 2 -1.478 0.615 0 0 -1.423 0.670 -4.600 1.830 2013 3 8.633 4.487 0 0 8.688 4.542 4.337 4.528 2013 4 12.185 0.529 0 0 12.241 0.585 8.474 1.155 2013 5 18.077 1.263 0 0 18.133 1.319 13.060 0.583 2013 6 23.341 1.911 0 0 23.396 1.966 17.863 0.771 2013 7 25.851 2.156 0 0 25.907 2.211 19.976 0.618 2013 8 23.849 2.008 0 0 23.905 2.063 18.086 0.581 2013 9 19.683 2.639 0 0 19.739 2.694 15.054 2.346 2013 10 12.430 2.088 0 0 12.486 2.144 8.269 2.264 2013 11 6.489 2.789 1 0 NaN NaN NaN NaN