% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36395 % Primary Name: MALVERN 5 W % Record Type: TAVG % Country: United States % State: IA % Latitude: 41.01670 +/- 0.00005 % Longitude: -95.66670 +/- 0.00005 % Elevation (m): 305.10 +/- 0.05 % # of Months: 26 % % IDs: coop - 135080 % ghcnd - USC00135080 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % % Site Hash: c1cb2ba0555e9bc2e431501283d3e94c % Raw Data Hash: 94b8a054b76c45c2e35fa2b75639c8fc % Adj Data Hash: 674e22928ffc36c0d04cc1939c393b1f % % 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 1894 5 NaN NaN NaN NaN NaN NaN 17.293 0.221 1894 6 NaN NaN NaN NaN NaN NaN 22.872 0.595 1894 7 NaN NaN NaN NaN NaN NaN 24.672 -0.173 1894 8 NaN NaN NaN NaN NaN NaN 24.808 1.211 1894 9 NaN NaN NaN NaN NaN NaN 18.784 0.192 1894 10 NaN NaN NaN NaN NaN NaN 12.422 0.141 1894 11 NaN NaN NaN NaN NaN NaN 1.945 -1.944 1894 12 NaN NaN NaN NaN NaN NaN -0.195 2.642 1895 1 NaN NaN NaN NaN NaN NaN -9.077 -2.534 1895 2 NaN NaN NaN NaN NaN NaN -6.477 -3.676 1895 3 NaN NaN NaN NaN NaN NaN 2.033 -0.758 1895 4 NaN NaN NaN NaN NaN NaN 13.787 2.972 1895 5 17.222 -0.268 0 0 17.222 -0.268 17.360 0.288 1895 6 20.907 -1.787 0 0 20.907 -1.787 21.163 -1.115 1895 7 NaN NaN NaN NaN NaN NaN 22.981 -1.864 1895 8 NaN NaN NaN NaN NaN NaN 22.820 -0.778 1895 9 NaN NaN NaN NaN NaN NaN 20.798 2.207 1895 10 NaN NaN NaN NaN NaN NaN 9.692 -2.588 1895 11 0.870 -3.436 0 0 0.870 -3.436 2.371 -1.518 1895 12 -3.029 -0.609 0 0 -3.029 -0.609 -2.199 0.638 1896 1 -3.154 2.972 0 0 -3.154 2.972 -4.084 2.460 1896 2 0.014 2.397 1 0 NaN NaN -0.358 2.443 1896 3 0.269 -2.940 0 0 0.269 -2.940 -0.706 -3.497 1896 4 13.833 2.601 0 0 13.833 2.601 13.825 3.010 1896 5 19.892 2.403 0 0 19.892 2.403 18.892 1.819 1896 6 23.593 0.898 0 0 23.593 0.898 21.815 -0.462 1896 7 25.018 -0.245 0 0 25.018 -0.245 23.506 -1.339 1896 8 24.140 0.125 0 0 24.140 0.125 22.650 -0.948 1896 9 16.889 -2.120 0 0 16.889 -2.120 15.337 -3.254 1896 10 8.154 -4.543 0 0 8.154 -4.543 10.266 -2.014 1896 11 -1.852 -6.158 0 0 -1.852 -6.158 -0.894 -4.783 1896 12 1.308 3.727 0 0 1.308 3.727 1.090 3.927 1897 1 -6.559 -0.433 0 0 -6.559 -0.433 -7.452 -0.909 1897 2 -0.456 1.927 1 0 NaN NaN -2.825 -0.024 1897 3 1.667 -1.542 0 0 1.667 -1.542 0.754 -2.037 1897 4 10.556 -0.677 0 0 10.556 -0.677 10.023 -0.792 1897 5 16.183 -1.307 0 0 16.183 -1.307 15.826 -1.246 1897 6 23.278 0.583 0 0 23.278 0.583 22.127 -0.150 1897 7 25.627 0.365 0 0 25.627 0.365 25.459 0.613 1897 8 NaN NaN NaN NaN NaN NaN 21.463 -2.134 1897 9 24.167 5.158 0 0 24.167 5.158 22.337 3.746 1897 10 14.839 2.141 0 0 14.839 2.141 14.748 2.468 1897 11 4.481 0.175 1 0 NaN NaN 2.023 -1.866 1897 12 NaN NaN NaN NaN NaN NaN -6.425 -3.589 1898 1 NaN NaN NaN NaN NaN NaN -4.227 2.317 1898 2 NaN NaN NaN NaN NaN NaN -2.142 0.659 1898 3 NaN NaN NaN NaN NaN NaN 2.874 0.083 1898 4 NaN NaN NaN NaN NaN NaN 10.129 -0.686 1898 5 NaN NaN NaN NaN NaN NaN 15.638 -1.434 1898 6 NaN NaN NaN NaN NaN NaN 22.809 0.532 1898 7 NaN NaN NaN NaN NaN NaN 23.799 -1.046 1898 8 NaN NaN NaN NaN NaN NaN 23.995 0.397 1898 9 NaN NaN NaN NaN NaN NaN 18.914 0.323 1898 10 NaN NaN NaN NaN NaN NaN 9.844 -2.436 1898 11 NaN NaN NaN NaN NaN NaN 0.898 -2.991