% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32610 % Primary Name: IRENE % Record Type: TAVG % Country: United States % State: KS % Latitude: 37.83330 +/- 0.00005 % Longitude: -101.93330 +/- 0.00005 % Elevation (m): 1054.96 +/- 14.89 % # of Months: 91 % % Alternate Names: Missing Station ID - 144008 % % IDs: coop - 144008 % ghcnd - USC00144008 % ncdc - 12001962 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 7fd1eba1a3cb1d14efabcc195274630b % Raw Data Hash: 1f6692f2a076329ad4ee061875d68ef1 % Adj Data Hash: 7eb96617d13581911e9fe0e25693725b % % 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 1909 3 NaN NaN NaN NaN NaN NaN 4.102 -1.317 1909 4 NaN NaN NaN NaN NaN NaN 10.721 -0.934 1909 5 NaN NaN NaN NaN NaN NaN 15.218 -1.995 1909 6 NaN NaN NaN NaN NaN NaN 22.512 -0.538 1909 7 NaN NaN NaN NaN NaN NaN 25.728 -0.159 1909 8 NaN NaN NaN NaN NaN NaN 25.679 1.009 1909 9 NaN NaN NaN NaN NaN NaN 19.592 -0.219 1909 10 NaN NaN NaN NaN NaN NaN 12.942 -0.285 1909 11 NaN NaN NaN NaN NaN NaN 7.014 1.873 1909 12 NaN NaN NaN NaN NaN NaN -4.285 -4.906 1910 1 NaN NaN NaN NaN NaN NaN -0.290 0.925 1910 2 NaN NaN NaN NaN NaN NaN -0.125 -1.882 1910 3 11.950 6.678 0 0 11.950 6.678 11.226 5.807 1910 4 12.968 1.461 0 0 12.968 1.461 12.987 1.332 1910 5 15.089 -1.977 0 0 15.089 -1.977 15.355 -1.858 1910 6 23.257 0.353 0 0 23.257 0.353 23.387 0.336 1910 7 27.195 1.455 0 0 27.195 1.455 26.170 0.282 1910 8 24.695 0.172 0 0 24.695 0.172 23.689 -0.981 1910 9 21.715 2.050 0 0 21.715 2.050 20.778 0.967 1910 10 14.437 1.357 1 0 NaN NaN 14.721 1.495 1910 11 7.214 2.219 0 0 7.214 2.219 6.751 1.610 1910 12 0.826 0.352 0 0 0.826 0.352 1.622 1.001 1911 1 3.156 4.519 0 0 3.156 4.519 2.335 3.550 1911 2 -0.882 -2.492 0 0 -0.882 -2.492 0.273 -1.484 1911 3 8.234 2.961 0 0 8.234 2.961 7.723 2.303 1911 4 12.248 0.741 0 0 12.248 0.741 12.386 0.731 1911 5 18.964 1.898 0 0 18.964 1.898 18.075 0.863 1911 6 24.857 1.953 0 0 24.857 1.953 25.189 2.138 1911 7 25.598 -0.142 0 0 25.598 -0.142 25.240 -0.647 1911 8 24.403 -0.120 0 0 24.403 -0.120 23.920 -0.751 1911 9 23.502 3.837 0 0 23.502 3.837 22.427 2.616 1911 10 11.021 -2.059 0 0 11.021 -2.059 11.565 -1.661 1911 11 3.222 -1.772 0 0 3.222 -1.772 2.895 -2.246 1911 12 -3.756 -4.231 0 0 -3.756 -4.231 -3.273 -3.894 1912 1 -6.411 -5.049 0 0 -6.411 -5.049 -7.254 -6.039 1912 2 0.029 -1.581 0 0 0.029 -1.581 0.472 -1.285 1912 3 0.123 -5.149 0 0 0.123 -5.149 -0.813 -6.232 1912 4 10.288 -1.219 0 0 10.288 -1.219 10.841 -0.813 1912 5 16.921 -0.145 0 0 16.921 -0.145 17.514 0.301 1912 6 20.792 -2.112 0 0 20.792 -2.112 20.441 -2.609 1912 7 25.537 -0.203 0 0 25.537 -0.203 25.175 -0.712 1912 8 24.213 -0.311 0 0 24.213 -0.311 23.632 -1.039 1912 9 17.400 -2.265 0 0 17.400 -2.265 16.772 -3.039 1912 10 11.278 -1.802 1 0 NaN NaN 13.119 -0.108 1912 11 6.325 1.331 0 0 6.325 1.331 6.086 0.945 1912 12 -0.066 -0.540 0 0 -0.066 -0.540 0.572 -0.049 1913 1 -1.798 -0.436 0 0 -1.798 -0.436 -1.524 -0.308 1913 2 -4.604 -6.214 0 0 -4.604 -6.214 -3.767 -5.524 1913 3 4.535 -0.737 0 0 4.535 -0.737 3.923 -1.496 1913 4 11.638 0.131 0 0 11.638 0.131 12.558 0.904 1913 5 19.194 2.128 0 0 19.194 2.128 18.907 1.694 1913 6 21.723 -1.181 0 0 21.723 -1.181 22.225 -0.825 1913 7 26.992 1.252 0 0 26.992 1.252 26.701 0.814 1913 8 26.792 2.268 0 0 26.792 2.268 26.459 1.788 1913 9 18.820 -0.845 0 0 18.820 -0.845 17.400 -2.412 1913 10 11.177 -1.903 1 0 NaN NaN 11.857 -1.370 1913 11 7.605 2.611 0 0 7.605 2.611 7.556 2.415 1913 12 -1.305 -1.779 0 0 -1.305 -1.779 -1.108 -1.729 1914 1 3.424 4.786 0 0 3.424 4.786 2.873 4.088 1914 2 -3.395 -5.005 0 0 -3.395 -5.005 0.020 -1.737 1914 3 5.904 0.631 0 0 5.904 0.631 5.575 0.155 1914 4 10.911 -0.597 0 0 10.911 -0.597 11.858 0.204 1914 5 16.030 -1.035 1 0 NaN NaN 16.516 -0.696 1914 6 22.604 -0.300 0 0 22.604 -0.300 24.290 1.240 1914 7 24.144 -1.597 0 0 24.144 -1.597 25.051 -0.836 1914 8 24.172 -0.352 1 0 NaN NaN 24.044 -0.626 1914 9 21.472 1.807 0 0 21.472 1.807 21.412 1.601 1914 10 13.605 0.525 0 0 13.605 0.525 13.806 0.579 1914 11 NaN NaN NaN NaN NaN NaN 7.429 2.288 1914 12 -3.623 -4.097 0 0 -3.623 -4.097 -3.418 -4.039 1915 1 -4.498 -3.136 0 0 -4.498 -3.136 -1.609 -0.394 1915 2 2.142 0.532 1 0 NaN NaN 3.545 1.789 1915 3 -0.595 -5.868 0 0 -0.595 -5.868 -0.157 -5.577 1915 4 12.792 1.284 0 0 12.792 1.284 13.227 1.572 1915 5 14.439 -2.627 0 0 14.439 -2.627 13.885 -3.327 1915 6 NaN NaN NaN NaN NaN NaN 20.053 -2.997 1915 7 22.940 -2.800 0 0 22.940 -2.800 22.778 -3.110 1915 8 21.489 -3.035 0 0 21.489 -3.035 20.671 -3.999 1915 9 19.915 0.251 0 0 19.915 0.251 19.068 -0.744 1915 10 11.932 -1.148 0 0 11.932 -1.148 14.010 0.784 1915 11 6.841 1.847 0 0 6.841 1.847 7.040 1.898 1915 12 NaN NaN NaN NaN NaN NaN 0.952 0.331 1916 1 -4.205 -2.843 0 0 -4.205 -2.843 -3.793 -2.577 1916 2 2.100 0.490 0 0 2.100 0.490 2.409 0.652 1916 3 8.752 3.480 0 0 8.752 3.480 8.437 3.018 1916 4 9.860 -1.648 0 0 9.860 -1.648 9.881 -1.773 1916 5 17.019 -0.047 0 0 17.019 -0.047 16.621 -0.591 1916 6 21.462 -1.442 0 0 21.462 -1.442 21.657 -1.393 1916 7 26.608 0.867 0 0 26.608 0.867 26.641 0.754 1916 8 24.310 -0.214 0 0 24.310 -0.214 24.318 -0.353 1916 9 18.584 -1.081 0 0 18.584 -1.081 18.578 -1.233 1916 10 11.940 -1.140 0 0 11.940 -1.140 12.834 -0.393 1916 11 3.589 -1.406 0 0 3.589 -1.406 4.056 -1.085 1916 12 -1.837 -2.311 0 0 -1.837 -2.311 -1.738 -2.359 1917 1 -2.487 -1.124 0 0 -2.487 -1.124 -1.684 -0.468 1917 2 0.309 -1.301 0 0 0.309 -1.301 1.522 -0.234 1917 3 3.419 -1.853 1 0 NaN NaN 3.792 -1.627 1917 4 10.369 -1.139 0 0 10.369 -1.139 10.139 -1.515 1917 5 13.171 -3.894 0 0 13.171 -3.894 12.893 -4.320 1917 6 21.729 -1.175 1 0 NaN NaN 21.979 -1.072 1917 7 25.559 -0.182 0 0 25.559 -0.182 26.051 0.164 1917 8 NaN NaN NaN NaN NaN NaN 22.602 -2.068 1917 9 19.574 -0.090 0 0 19.574 -0.090 19.563 -0.248 1917 10 9.869 -3.211 0 0 9.869 -3.211 10.799 -2.428 1917 11 6.821 1.826 0 0 6.821 1.826 7.800 2.659 1917 12 -2.563 -3.037 0 0 -2.563 -3.037 -0.755 -1.376 1918 1 -6.690 -5.328 0 0 -6.690 -5.328 -5.281 -4.065 1918 2 NaN NaN NaN NaN NaN NaN 3.419 1.662 1918 3 NaN NaN NaN NaN NaN NaN 8.274 2.855 1918 4 NaN NaN NaN NaN NaN NaN 8.645 -3.009 1918 5 NaN NaN NaN NaN NaN NaN 18.006 0.793 1918 6 NaN NaN NaN NaN NaN NaN 24.847 1.796 1918 7 NaN NaN NaN NaN NaN NaN 24.976 -0.911 1918 8 NaN NaN NaN NaN NaN NaN 25.447 0.777 1918 9 NaN NaN NaN NaN NaN NaN 16.890 -2.921 1918 10 NaN NaN NaN NaN NaN NaN 14.798 1.571 1918 11 NaN NaN NaN NaN NaN NaN 3.559 -1.583 1918 12 NaN NaN NaN NaN NaN NaN -0.283 -0.904 1919 1 NaN NaN NaN NaN NaN NaN -4.499 -3.283