% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31098 % Primary Name: AMES % Record Type: TAVG % Country: United States % State: OK % Latitude: 36.24830 +/- 0.00005 % Longitude: -98.18830 +/- 0.00005 % Elevation (m): 366.92 +/- 2.83 % # of Months: 71 % % IDs: coop - 340215 % ghcnd - USC00340215 % ncdc - 20014940 % nws - AMEO2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 79ab60b50818867732bb3a2fda46ee88 % Raw Data Hash: ced826e19db8b0387ec7d4a150553126 % Adj Data Hash: e78a9b3ba1fcac2186cfbf5860c4584f % % 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 1895 5 NaN NaN NaN NaN NaN NaN 20.898 0.475 1895 6 NaN NaN NaN NaN NaN NaN 25.205 -0.297 1895 7 NaN NaN NaN NaN NaN NaN 26.176 -2.202 1895 8 NaN NaN NaN NaN NaN NaN 26.669 -0.991 1895 9 NaN NaN NaN NaN NaN NaN 24.650 1.544 1895 10 NaN NaN NaN NaN NaN NaN 13.427 -3.326 1895 11 NaN NaN NaN NaN NaN NaN 6.918 -2.212 1895 12 NaN NaN NaN NaN NaN NaN 2.890 -0.973 1896 1 NaN NaN NaN NaN NaN NaN 3.002 1.381 1896 2 NaN NaN NaN NaN NaN NaN 5.420 0.780 1896 3 NaN NaN NaN NaN NaN NaN 6.629 -2.690 1896 4 NaN NaN NaN NaN NaN NaN 18.527 2.975 1896 5 26.528 6.120 1 0 NaN NaN 23.167 2.744 1896 6 26.590 1.103 0 0 26.590 1.103 25.347 -0.155 1896 7 27.724 -0.639 0 0 27.724 -0.639 27.453 -0.925 1896 8 29.624 1.979 0 0 29.624 1.979 28.572 0.912 1896 9 23.259 0.168 0 0 23.259 0.168 21.976 -1.130 1896 10 15.950 -0.788 0 0 15.950 -0.788 15.105 -1.648 1896 11 8.204 -0.912 0 0 8.204 -0.912 7.214 -1.917 1896 12 6.846 2.999 0 0 6.846 2.999 6.156 2.293 1897 1 0.913 -0.694 0 0 0.913 -0.694 -0.103 -1.725 1897 2 5.516 0.891 0 0 5.516 0.891 4.374 -0.266 1897 3 9.964 0.659 0 0 9.964 0.659 9.124 -0.196 1897 4 14.833 -0.704 0 0 14.833 -0.704 14.766 -0.786 1897 5 19.068 -1.340 0 0 19.068 -1.340 18.726 -1.697 1897 6 25.056 -0.431 0 0 25.056 -0.431 24.976 -0.526 1897 7 28.548 0.186 0 0 28.548 0.186 28.073 -0.304 1897 8 26.075 -1.570 0 0 26.075 -1.570 26.192 -1.468 1897 9 23.084 -0.007 0 0 23.084 -0.007 23.731 0.625 1897 10 16.333 -0.404 0 0 16.333 -0.404 18.620 1.868 1897 11 7.917 -1.199 0 0 7.917 -1.199 8.594 -0.536 1897 12 -0.037 -3.884 0 0 -0.037 -3.884 1.326 -2.536 1898 1 2.852 1.245 0 0 2.852 1.245 2.751 1.129 1898 2 4.722 0.097 0 0 4.722 0.097 5.736 1.096 1898 3 6.749 -2.556 0 0 6.749 -2.556 8.076 -1.243 1898 4 12.644 -2.893 0 0 12.644 -2.893 14.126 -1.426 1898 5 17.926 -2.482 0 0 17.926 -2.482 19.705 -0.718 1898 6 23.457 -2.030 0 0 23.457 -2.030 25.365 -0.137 1898 7 25.324 -3.038 0 0 25.324 -3.038 26.561 -1.817 1898 8 24.669 -2.976 0 0 24.669 -2.976 25.976 -1.684 1898 9 21.473 -1.618 0 0 21.473 -1.618 22.902 -0.204 1898 10 NaN NaN NaN NaN NaN NaN 15.383 -1.369 1898 11 5.919 -3.197 0 0 5.919 -3.197 6.794 -2.336 1898 12 1.271 -2.577 0 0 1.271 -2.577 0.691 -3.172 1899 1 0.758 -0.848 0 0 0.758 -0.848 0.619 -1.002 1899 2 -3.550 -8.175 0 0 -3.550 -8.175 -3.183 -7.823 1899 3 6.326 -2.979 0 0 6.326 -2.979 6.571 -2.749 1899 4 14.537 -1.000 0 0 14.537 -1.000 14.786 -0.766 1899 5 20.348 -0.060 1 0 NaN NaN 21.167 0.744 1899 6 18.815 -6.672 1 0 NaN NaN 24.431 -1.070 1899 7 NaN NaN NaN NaN NaN NaN 26.354 -2.024 1899 8 30.406 2.761 0 0 30.406 2.761 29.333 1.673 1899 9 22.632 -0.460 0 0 22.632 -0.460 22.534 -0.572 1899 10 NaN NaN NaN NaN NaN NaN 19.070 2.317 1899 11 12.329 3.214 0 0 12.329 3.214 10.940 1.809 1899 12 3.492 -0.355 0 0 3.492 -0.355 2.613 -1.249 1900 1 5.327 3.721 0 0 5.327 3.721 3.962 2.340 1900 2 2.543 -2.082 0 0 2.543 -2.082 1.689 -2.951 1900 3 9.416 0.111 0 0 9.416 0.111 8.455 -0.864 1900 4 18.889 3.352 1 0 NaN NaN 15.806 0.254 1900 5 19.699 -0.709 1 0 NaN NaN 19.669 -0.754 1900 6 25.667 0.180 0 0 25.667 0.180 25.461 -0.041 1900 7 27.352 -1.011 0 0 27.352 -1.011 26.658 -1.720 1900 8 28.545 0.900 0 0 28.545 0.900 27.939 0.279 1900 9 23.602 0.510 0 0 23.602 0.510 23.482 0.376 1900 10 18.189 1.451 0 0 18.189 1.451 18.186 1.433 1900 11 8.417 -0.699 0 0 8.417 -0.699 8.853 -0.277 1900 12 3.137 -0.710 0 0 3.137 -0.710 4.750 0.888 1901 1 2.796 1.189 0 0 2.796 1.189 2.968 1.347 1901 2 0.933 -3.693 0 0 0.933 -3.693 1.825 -2.815 1901 3 8.100 -1.204 0 0 8.100 -1.204 8.334 -0.985 1901 4 NaN NaN NaN NaN NaN NaN 13.903 -1.649 1901 5 19.072 -1.336 1 0 NaN NaN 19.173 -1.250 1901 6 26.778 1.291 0 0 26.778 1.291 26.655 1.153 1901 7 NaN NaN NaN NaN NaN NaN 30.400 2.022 1901 8 27.784 0.139 0 0 27.784 0.139 27.874 0.215 1901 9 22.848 -0.243 0 0 22.848 -0.243 22.925 -0.181 1901 10 17.923 1.185 0 0 17.923 1.185 18.680 1.927 1901 11 10.068 0.953 0 0 10.068 0.953 9.920 0.789 1901 12 2.182 -1.665 0 0 2.182 -1.665 2.186 -1.676 1902 1 NaN NaN NaN NaN NaN NaN 1.397 -0.225 1902 2 1.984 -2.641 0 0 1.984 -2.641 1.207 -3.433 1902 3 10.342 1.037 0 0 10.342 1.037 9.681 0.361 1902 4 NaN NaN NaN NaN NaN NaN 16.003 0.451 1902 5 21.231 0.823 1 0 NaN NaN 21.133 0.710 1902 6 24.502 -0.985 1 0 NaN NaN 24.804 -0.698 1902 7 27.110 -1.253 0 0 27.110 -1.253 26.796 -1.582 1902 8 29.575 1.930 0 0 29.575 1.930 28.829 1.169 1902 9 19.272 -3.820 0 0 19.272 -3.820 19.671 -3.435 1902 10 17.158 0.420 0 0 17.158 0.420 17.289 0.536 1902 11 NaN NaN NaN NaN NaN NaN 11.068 1.938 1902 12 NaN NaN NaN NaN NaN NaN 1.845 -2.017 1903 1 NaN NaN NaN NaN NaN NaN 2.502 0.880 1903 2 NaN NaN NaN NaN NaN NaN 0.773 -3.868 1903 3 NaN NaN NaN NaN NaN NaN 8.214 -1.105 1903 4 NaN NaN NaN NaN NaN NaN 15.306 -0.246 1903 5 NaN NaN NaN NaN NaN NaN 17.965 -2.458 1903 6 NaN NaN NaN NaN NaN NaN 21.301 -4.201 1903 7 NaN NaN NaN NaN NaN NaN 27.542 -0.835 1903 8 NaN NaN NaN NaN NaN NaN 26.562 -1.098 1903 9 NaN NaN NaN NaN NaN NaN 21.623 -1.483 1903 10 NaN NaN NaN NaN NaN NaN 16.358 -0.395