% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38227 % Primary Name: CEDAR FALLS % Record Type: TAVG % Country: United States % State: IA % Latitude: 42.53780 +/- 0.00005 % Longitude: -92.44310 +/- 0.00005 % Elevation (m): 250.18 +/- 17.77 % # of Months: 78 % % IDs: coop - 131300 % ghcnd - USC00131300 % ncdc - 20006977 % nws - CEDI4 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 2e0d41e2f9a81ad22bb04dec6bdcaa31 % Raw Data Hash: f4e2c5cab8ce2bd30c587fbade0c294c % Adj Data Hash: 623fbe5ccfa09eb597e74ab9b8e50db7 % % 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 -11.287 -2.059 1892 2 NaN NaN NaN NaN NaN NaN -3.187 2.646 1892 3 NaN NaN NaN NaN NaN NaN -1.728 -1.956 1892 4 NaN NaN NaN NaN NaN NaN 6.481 -2.161 1892 5 NaN NaN NaN NaN NaN NaN 11.723 -3.605 1892 6 NaN NaN NaN NaN NaN NaN 19.400 -1.095 1892 7 NaN NaN NaN NaN NaN NaN 22.069 -0.665 1892 8 NaN NaN NaN NaN NaN NaN 21.394 -0.171 1892 9 NaN NaN NaN NaN NaN NaN 16.826 -0.005 1892 10 NaN NaN NaN NaN NaN NaN 11.780 1.097 1892 11 NaN NaN NaN NaN NaN NaN -0.681 -2.947 1892 12 NaN NaN NaN NaN NaN NaN -8.658 -3.416 1893 1 -14.570 -5.944 0 0 -14.570 -5.944 -15.551 -6.323 1893 2 -9.544 -4.312 0 0 -9.544 -4.312 -10.359 -4.526 1893 3 0.038 -0.792 0 0 0.038 -0.792 -1.989 -2.218 1893 4 NaN NaN NaN NaN NaN NaN 6.258 -2.383 1893 5 NaN NaN NaN NaN NaN NaN 12.808 -2.520 1893 6 21.370 0.274 0 0 21.370 0.274 21.368 0.873 1893 7 24.035 0.699 1 0 NaN NaN 23.280 0.546 1893 8 21.121 -1.046 0 0 21.121 -1.046 20.309 -1.256 1893 9 18.093 0.660 0 0 18.093 0.660 16.971 0.140 1893 10 11.900 0.614 0 0 11.900 0.614 11.300 0.616 1893 11 0.185 -2.683 0 0 0.185 -2.683 0.560 -1.706 1893 12 -7.126 -2.486 0 0 -7.126 -2.486 -7.149 -1.907 1894 1 -8.093 0.534 0 0 -8.093 0.534 -8.442 0.786 1894 2 -7.252 -2.020 0 0 -7.252 -2.020 -7.728 -1.895 1894 3 4.247 3.417 0 0 4.247 3.417 3.187 2.959 1894 4 11.148 1.904 0 0 11.148 1.904 10.308 1.666 1894 5 15.694 -0.235 0 0 15.694 -0.235 15.447 0.119 1894 6 22.907 1.811 0 0 22.907 1.811 22.331 1.837 1894 7 24.815 1.479 1 0 NaN NaN 23.873 1.139 1894 8 23.996 1.829 0 0 23.996 1.829 22.676 1.111 1894 9 17.667 0.234 0 0 17.667 0.234 17.391 0.560 1894 10 11.272 -0.013 0 0 11.272 -0.013 10.600 -0.083 1894 11 -0.519 -3.386 0 0 -0.519 -3.386 -0.692 -2.957 1894 12 -1.685 2.956 0 0 -1.685 2.956 -1.830 3.413 1895 1 -11.716 -3.090 0 0 -11.716 -3.090 -12.737 -3.509 1895 2 -9.206 -3.975 0 0 -9.206 -3.975 -10.857 -5.024 1895 3 0.932 0.102 0 0 0.932 0.102 -0.779 -1.007 1895 4 12.259 3.016 0 0 12.259 3.016 11.141 2.500 1895 5 16.219 0.289 0 0 16.219 0.289 15.767 0.439 1895 6 20.759 -0.337 0 0 20.759 -0.337 20.883 0.388 1895 7 23.082 -0.253 0 0 23.082 -0.253 21.773 -0.961 1895 8 22.742 0.575 0 0 22.742 0.575 22.050 0.485 1895 9 19.556 2.123 0 0 19.556 2.123 19.237 2.406 1895 10 7.903 -3.382 0 0 7.903 -3.382 7.261 -3.422 1895 11 1.255 -1.613 0 0 1.255 -1.613 0.778 -1.488 1895 12 -4.215 0.426 0 0 -4.215 0.426 -4.320 0.922 1896 1 -5.535 3.091 0 0 -5.535 3.091 -7.073 2.156 1896 2 -2.997 2.235 0 0 -2.997 2.235 -4.421 1.412 1896 3 -0.074 -0.904 0 0 -0.074 -0.904 -2.253 -2.481 1896 4 10.923 1.680 0 0 10.923 1.680 11.547 2.905 1896 5 18.631 2.701 0 0 18.631 2.701 18.349 3.021 1896 6 20.672 -0.425 0 0 20.672 -0.425 20.327 -0.168 1896 7 22.703 -0.633 0 0 22.703 -0.633 21.875 -0.859 1896 8 21.514 -0.653 1 0 NaN NaN 21.170 -0.395 1896 9 13.943 -3.490 0 0 13.943 -3.490 13.559 -3.272 1896 10 8.581 -2.705 0 0 8.581 -2.705 8.421 -2.263 1896 11 -1.767 -4.634 0 0 -1.767 -4.634 -1.144 -3.410 1896 12 -1.512 3.129 0 0 -1.512 3.129 -2.029 3.213 1897 1 NaN NaN NaN NaN NaN NaN -10.196 -0.968 1897 2 -4.518 0.714 0 0 -4.518 0.714 -4.918 0.916 1897 3 -0.774 -1.604 0 0 -0.774 -1.604 -1.687 -1.915 1897 4 8.778 -0.465 0 0 8.778 -0.465 8.097 -0.545 1897 5 14.768 -1.162 0 0 14.768 -1.162 13.865 -1.463 1897 6 20.470 -0.627 0 0 20.470 -0.627 19.357 -1.138 1897 7 24.360 1.024 0 0 24.360 1.024 23.357 0.624 1897 8 NaN NaN NaN NaN NaN NaN 19.426 -2.139 1897 9 21.610 4.177 0 0 21.610 4.177 20.029 3.198 1897 10 13.456 2.171 0 0 13.456 2.171 13.637 2.953 1897 11 0.195 -2.673 0 0 0.195 -2.673 0.635 -1.631 1897 12 -8.884 -4.244 0 0 -8.884 -4.244 -8.899 -3.657 1898 1 -5.395 3.231 0 0 -5.395 3.231 -6.733 2.495 1898 2 NaN NaN NaN NaN NaN NaN -5.642 0.191 1898 3 2.976 2.146 0 0 2.976 2.146 1.879 1.651 1898 4 9.110 -0.134 0 0 9.110 -0.134 7.761 -0.881 1898 5 16.119 0.190 0 0 16.119 0.190 14.831 -0.497 1898 6 22.170 1.073 0 0 22.170 1.073 21.109 0.614 1898 7 23.600 0.264 0 0 23.600 0.264 22.506 -0.228 1898 8 22.019 -0.148 1 0 NaN NaN 21.109 -0.456 1898 9 18.487 1.054 0 0 18.487 1.054 17.751 0.920 1898 10 8.910 -2.376 0 0 8.910 -2.376 8.820 -1.864 1898 11 -0.440 -3.308 0 0 -0.440 -3.308 0.081 -2.184 1898 12 -7.973 -3.332 0 0 -7.973 -3.332 -8.562 -3.320 1899 1 -9.073 -0.447 0 0 -9.073 -0.447 -8.839 0.390 1899 2 -11.177 -5.945 0 0 -11.177 -5.945 -11.663 -5.830 1899 3 -5.268 -6.098 0 0 -5.268 -6.098 -5.580 -5.808 1899 4 NaN NaN NaN NaN NaN NaN 9.186 0.544 1899 5 NaN NaN NaN NaN NaN NaN 15.047 -0.281 1899 6 NaN NaN NaN NaN NaN NaN 20.924 0.429 1899 7 NaN NaN NaN NaN NaN NaN 22.236 -0.498 1899 8 NaN NaN NaN NaN NaN NaN 22.674 1.108 1899 9 17.160 -0.273 0 0 17.160 -0.273 15.933 -0.898 1899 10 12.482 1.197 0 0 12.482 1.197 13.735 3.051 1899 11 6.663 3.796 0 0 6.663 3.796 6.022 3.756 1899 12 -3.954 0.686 1 0 NaN NaN -6.141 -0.899 1900 1 NaN NaN NaN NaN NaN NaN -5.691 3.537 1900 2 -10.886 -5.654 0 0 -10.886 -5.654 -10.454 -4.621 1900 3 -1.685 -2.516 0 0 -1.685 -2.516 -3.258 -3.486 1900 4 10.807 1.563 0 0 10.807 1.563 10.368 1.727 1900 5 15.692 -0.238 0 0 15.692 -0.238 16.552 1.224 1900 6 NaN NaN NaN NaN NaN NaN 20.263 -0.232 1900 7 NaN NaN NaN NaN NaN NaN 21.917 -0.817 1900 8 NaN NaN NaN NaN NaN NaN 24.766 3.201 1900 9 NaN NaN NaN NaN NaN NaN 17.298 0.467 1900 10 NaN NaN NaN NaN NaN NaN 15.236 4.552 1900 11 NaN NaN NaN NaN NaN NaN 0.199 -2.067 1900 12 NaN NaN NaN NaN NaN NaN -3.982 1.260 1901 1 NaN NaN NaN NaN NaN NaN -6.999 2.230 1901 2 NaN NaN NaN NaN NaN NaN -10.367 -4.533 1901 3 NaN NaN NaN NaN NaN NaN -0.839 -1.067 1901 4 NaN NaN NaN NaN NaN NaN 9.407 0.765 1901 5 NaN NaN NaN NaN NaN NaN 15.292 -0.036