% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32293 % Primary Name: ALTOONA % Record Type: TAVG % Country: United States % State: KS % Latitude: 37.53330 +/- 0.00005 % Longitude: -95.66670 +/- 0.00005 % Elevation (m): 248.41 +/- 0.15 % # of Months: 98 % % Alternate Names: Missing Station ID - 140203 % % IDs: coop - 140203 % ghcnd - USC00140203 % ncdc - 12001861 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 63cd9d244a44b81e315ea997b591426e % Raw Data Hash: e5cead571ea6eb6b280e6e73b5e71c4b % Adj Data Hash: d44fba08f3a29dc3dc2e06b200c515f5 % % 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 1892 1 NaN NaN NaN NaN NaN NaN -3.514 -2.387 1892 2 NaN NaN NaN NaN NaN NaN 3.854 1.706 1892 3 NaN NaN NaN NaN NaN NaN 3.878 -3.233 1892 4 NaN NaN NaN NaN NaN NaN 12.823 -1.050 1892 5 NaN NaN NaN NaN NaN NaN 16.522 -2.466 1892 6 NaN NaN NaN NaN NaN NaN 23.787 -0.021 1892 7 NaN NaN NaN NaN NaN NaN 25.263 -1.426 1892 8 NaN NaN NaN NaN NaN NaN 25.078 -0.799 1892 9 NaN NaN NaN NaN NaN NaN 21.219 -0.131 1892 10 NaN NaN NaN NaN NaN NaN 15.323 0.253 1892 11 NaN NaN NaN NaN NaN NaN 5.765 -1.646 1892 12 NaN NaN NaN NaN NaN NaN -1.397 -3.126 1893 1 -2.563 -2.345 0 0 -2.563 -2.345 -3.527 -2.400 1893 2 -1.152 -4.209 1 0 NaN NaN -0.810 -2.958 1893 3 6.738 -1.283 0 0 6.738 -1.283 5.623 -1.489 1893 4 14.315 -0.467 0 0 14.315 -0.467 13.982 0.109 1893 5 18.118 -1.779 0 0 18.118 -1.779 16.900 -2.088 1893 6 24.815 0.098 0 0 24.815 0.098 23.250 -0.557 1893 7 27.366 -0.233 0 0 27.366 -0.233 26.622 -0.068 1893 8 25.717 -1.070 0 0 25.717 -1.070 24.012 -1.866 1893 9 24.130 1.871 0 0 24.130 1.871 22.472 1.123 1893 10 15.269 -0.710 0 0 15.269 -0.710 15.310 0.241 1893 11 5.667 -2.654 0 0 5.667 -2.654 5.444 -1.967 1893 12 4.032 1.394 0 0 4.032 1.394 3.384 1.655 1894 1 -0.018 0.200 0 0 -0.018 0.200 -1.096 0.031 1894 2 -1.111 -4.168 0 0 -1.111 -4.168 -1.764 -3.912 1894 3 10.502 2.481 0 0 10.502 2.481 8.706 1.595 1894 4 17.167 2.384 0 0 17.167 2.384 15.297 1.424 1894 5 20.466 0.569 0 0 20.466 0.569 18.720 -0.268 1894 6 25.519 0.801 0 0 25.519 0.801 23.952 0.144 1894 7 27.348 -0.251 0 0 27.348 -0.251 25.603 -1.086 1894 8 27.885 1.099 0 0 27.885 1.099 25.998 0.120 1894 9 21.796 -0.462 0 0 21.796 -0.462 21.048 -0.301 1894 10 16.093 0.114 0 0 16.093 0.114 15.777 0.707 1894 11 7.185 -1.135 0 0 7.185 -1.135 6.590 -0.821 1894 12 3.029 0.390 0 0 3.029 0.390 2.888 1.159 1895 1 -2.975 -2.757 0 0 -2.975 -2.757 -3.912 -2.785 1895 2 -2.996 -6.053 0 0 -2.996 -6.053 -3.496 -5.644 1895 3 7.491 -0.530 0 0 7.491 -0.530 6.234 -0.878 1895 4 17.000 2.218 0 0 17.000 2.218 15.772 1.899 1895 5 20.842 0.945 0 0 20.842 0.945 19.114 0.126 1895 6 24.944 0.227 0 0 24.944 0.227 23.600 -0.207 1895 7 25.305 -2.294 0 0 25.305 -2.294 24.534 -2.156 1895 8 25.699 -1.088 0 0 25.699 -1.088 24.684 -1.194 1895 9 23.019 0.760 0 0 23.019 0.760 22.832 1.483 1895 10 11.774 -4.205 0 0 11.774 -4.205 12.188 -2.881 1895 11 6.037 -2.283 0 0 6.037 -2.283 5.793 -1.618 1895 12 0.520 -2.119 0 0 0.520 -2.119 1.076 -0.653 1896 1 0.968 1.186 0 0 0.968 1.186 0.141 1.268 1896 2 3.467 0.410 1 0 NaN NaN 3.270 1.122 1896 3 5.323 -2.698 0 0 5.323 -2.698 4.350 -2.762 1896 4 18.611 3.829 0 0 18.611 3.829 17.284 3.411 1896 5 22.563 2.666 0 0 22.563 2.666 21.313 2.325 1896 6 24.074 -0.643 0 0 24.074 -0.643 23.062 -0.746 1896 7 27.061 -0.538 0 0 27.061 -0.538 25.984 -0.705 1896 8 27.509 0.722 0 0 27.509 0.722 26.235 0.357 1896 9 20.556 -1.703 0 0 20.556 -1.703 19.497 -1.852 1896 10 13.100 -2.879 0 0 13.100 -2.879 13.351 -1.719 1896 11 6.148 -2.172 0 0 6.148 -2.172 5.389 -2.022 1896 12 4.229 1.591 0 0 4.229 1.591 4.536 2.807 1897 1 -1.523 -1.305 0 0 -1.523 -1.305 -2.347 -1.220 1897 2 2.421 -0.637 0 0 2.421 -0.637 1.802 -0.346 1897 3 8.351 0.330 0 0 8.351 0.330 6.852 -0.260 1897 4 14.352 -0.430 0 0 14.352 -0.430 13.455 -0.418 1897 5 19.946 0.049 0 0 19.946 0.049 17.867 -1.120 1897 6 24.741 0.024 0 0 24.741 0.024 24.122 0.314 1897 7 28.370 0.772 0 0 28.370 0.772 26.854 0.165 1897 8 26.075 -0.712 0 0 26.075 -0.712 24.676 -1.201 1897 9 24.037 1.778 0 0 24.037 1.778 23.749 2.400 1897 10 18.297 2.318 0 0 18.297 2.318 18.073 3.003 1897 11 6.685 -1.635 0 0 6.685 -1.635 7.022 -0.389 1897 12 -0.502 -3.140 0 0 -0.502 -3.140 -0.670 -2.398 1898 1 2.168 2.386 0 0 2.168 2.386 0.807 1.934 1898 2 4.028 0.971 0 0 4.028 0.971 3.281 1.134 1898 3 7.867 -0.154 0 0 7.867 -0.154 6.577 -0.535 1898 4 13.296 -1.486 0 0 13.296 -1.486 12.259 -1.614 1898 5 20.358 0.461 0 0 20.358 0.461 18.532 -0.455 1898 6 25.426 0.709 0 0 25.426 0.709 24.373 0.565 1898 7 26.613 -0.986 0 0 26.613 -0.986 25.418 -1.271 1898 8 26.416 -0.371 0 0 26.416 -0.371 24.793 -1.084 1898 9 23.389 1.130 0 0 23.389 1.130 22.066 0.717 1898 10 13.584 -2.395 0 0 13.584 -2.395 13.148 -1.922 1898 11 5.333 -2.987 0 0 5.333 -2.987 4.978 -2.433 1898 12 -2.025 -4.663 0 0 -2.025 -4.663 -1.492 -3.221 1899 1 0.056 0.273 0 0 0.056 0.273 -1.128 -0.000 1899 2 -5.377 -8.434 0 0 -5.377 -8.434 -6.066 -8.214 1899 3 3.817 -4.204 0 0 3.817 -4.204 3.200 -3.911 1899 4 14.222 -0.560 0 0 14.222 -0.560 12.771 -1.101 1899 5 21.720 1.823 0 0 21.720 1.823 20.064 1.077 1899 6 24.833 0.116 0 0 24.833 0.116 23.389 -0.419 1899 7 26.362 -1.237 0 0 26.362 -1.237 24.986 -1.703 1899 8 28.656 1.869 0 0 28.656 1.869 26.998 1.120 1899 9 22.019 -0.240 0 0 22.019 -0.240 20.350 -0.999 1899 10 NaN NaN NaN NaN NaN NaN 17.865 2.795 1899 11 NaN NaN NaN NaN NaN NaN 9.971 2.559 1899 12 -0.179 -2.817 0 0 -0.179 -2.817 0.064 -1.664 1900 1 2.563 2.781 0 0 2.563 2.781 1.593 2.720 1900 2 NaN NaN NaN NaN NaN NaN -2.091 -4.239 1900 3 NaN NaN NaN NaN NaN NaN 5.647 -1.465 1900 4 NaN NaN NaN NaN NaN NaN 14.724 0.851 1900 5 NaN NaN NaN NaN NaN NaN 19.121 0.133 1900 6 24.787 0.069 0 0 24.787 0.069 23.611 -0.197 1900 7 25.887 -1.712 0 0 25.887 -1.712 25.072 -1.618 1900 8 28.206 1.420 0 0 28.206 1.420 27.196 1.319 1900 9 23.285 1.026 0 0 23.285 1.026 22.276 0.927 1900 10 17.623 1.644 0 0 17.623 1.644 17.197 2.127 1900 11 7.420 -0.900 0 0 7.420 -0.900 6.542 -0.869 1900 12 2.785 0.147 0 0 2.785 0.147 2.502 0.773 1901 1 1.819 2.037 0 0 1.819 2.037 0.750 1.877 1901 2 NaN NaN NaN NaN NaN NaN -0.934 -3.081 1901 3 6.834 -1.187 0 0 6.834 -1.187 5.926 -1.185 1901 4 NaN NaN NaN NaN NaN NaN 12.232 -1.641 1901 5 18.429 -1.468 1 0 NaN NaN 17.858 -1.129 1901 6 25.552 0.834 0 0 25.552 0.834 25.495 1.687 1901 7 29.619 2.020 1 0 NaN NaN 29.853 3.164 1901 8 NaN NaN NaN NaN NaN NaN 26.501 0.623 1901 9 21.748 -0.510 0 0 21.748 -0.510 20.930 -0.419 1901 10 17.316 1.337 0 0 17.316 1.337 16.873 1.803 1901 11 8.782 0.461 0 0 8.782 0.461 7.685 0.274 1901 12 NaN NaN NaN NaN NaN NaN -0.648 -2.377 1902 1 NaN NaN NaN NaN NaN NaN -1.463 -0.336 1902 2 NaN NaN NaN NaN NaN NaN -3.633 -5.781 1902 3 NaN NaN NaN NaN NaN NaN 7.519 0.408 1902 4 NaN NaN NaN NaN NaN NaN 13.169 -0.704 1902 5 NaN NaN NaN NaN NaN NaN 20.870 1.883 1902 6 NaN NaN NaN NaN NaN NaN 22.184 -1.624 1902 7 NaN NaN NaN NaN NaN NaN 25.269 -1.421 1902 8 NaN NaN NaN NaN NaN NaN 25.507 -0.370 1902 9 NaN NaN NaN NaN NaN NaN 17.360 -3.990 1902 10 NaN NaN NaN NaN NaN NaN 15.876 0.806 1902 11 NaN NaN NaN NaN NaN NaN 9.833 2.422