% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34173 % Primary Name: WAKEFIELD 4 W % Record Type: TAVG % Country: United States % State: KS % Latitude: 39.21934 +/- 0.01101 % Longitude: -97.04889 +/- 0.04056 % Elevation (m): 378.00 +/- 0.05 % # of Months: 47 % % Alternate Names: WAKEFIELD % % IDs: coop - 148503 % ghcnd - USC00148503 % ncdc - 20007807 % nws - WKEK1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 7fc0b9b03b55609085e59dfab5c04f71 % Raw Data Hash: 37cfcaa87fc8e046cad2c9c7c3a2dab6 % Adj Data Hash: 17e9b2936ba06967a4005aebd0ff4574 % % 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 -5.680 -1.965 1892 2 NaN NaN NaN NaN NaN NaN 0.898 1.056 1892 3 NaN NaN NaN NaN NaN NaN 2.098 -2.743 1892 4 NaN NaN NaN NaN NaN NaN 10.612 -1.354 1892 5 NaN NaN NaN NaN NaN NaN 13.494 -4.320 1892 6 NaN NaN NaN NaN NaN NaN 23.074 -0.385 1892 7 NaN NaN NaN NaN NaN NaN 25.318 -1.230 1892 8 NaN NaN NaN NaN NaN NaN 24.411 -1.152 1892 9 NaN NaN NaN NaN NaN NaN 20.681 0.480 1892 10 NaN NaN NaN NaN NaN NaN 14.238 0.535 1892 11 NaN NaN NaN NaN NaN NaN 4.131 -1.112 1892 12 NaN NaN NaN NaN NaN NaN -4.056 -3.373 1893 1 -3.208 -1.032 0 0 -3.208 -1.032 -4.314 -0.599 1893 2 -1.389 -2.769 0 0 -1.389 -2.769 -2.813 -2.655 1893 3 5.681 -0.699 0 0 5.681 -0.699 2.879 -1.961 1893 4 13.296 -0.209 0 0 13.296 -0.209 11.764 -0.202 1893 5 17.832 -1.521 0 0 17.832 -1.521 15.839 -1.975 1893 6 24.889 -0.109 0 0 24.889 -0.109 23.675 0.215 1893 7 27.043 -1.044 0 0 27.043 -1.044 26.175 -0.373 1893 8 24.283 -2.819 0 0 24.283 -2.819 23.019 -2.544 1893 9 22.556 0.816 0 0 22.556 0.816 20.571 0.370 1893 10 14.785 -0.457 0 0 14.785 -0.457 13.873 0.169 1893 11 4.866 -1.916 0 0 4.866 -1.916 3.652 -1.591 1893 12 2.545 1.689 0 0 2.545 1.689 1.239 1.922 1894 1 -3.369 -1.193 0 0 -3.369 -1.193 -4.362 -0.647 1894 2 -2.798 -4.178 0 0 -2.798 -4.178 -4.752 -4.593 1894 3 8.477 2.097 0 0 8.477 2.097 6.182 1.341 1894 4 15.796 2.291 0 0 15.796 2.291 13.865 1.898 1894 5 19.301 -0.052 0 0 19.301 -0.052 17.687 -0.127 1894 6 24.500 -0.498 0 0 24.500 -0.498 23.349 -0.111 1894 7 26.900 -1.188 0 0 26.900 -1.188 25.641 -0.907 1894 8 28.136 1.034 0 0 28.136 1.034 26.084 0.521 1894 9 21.130 -0.610 0 0 21.130 -0.610 19.914 -0.287 1894 10 15.466 0.224 0 0 15.466 0.224 14.730 1.026 1894 11 5.833 -0.949 0 0 5.833 -0.949 4.610 -0.633 1894 12 2.563 1.707 0 0 2.563 1.707 0.904 1.587 1895 1 -3.602 -1.426 0 0 -3.602 -1.426 -6.261 -2.545 1895 2 -2.202 -3.582 1 0 NaN NaN -4.735 -4.576 1895 3 5.986 -0.394 0 0 5.986 -0.394 4.295 -0.546 1895 4 16.611 3.106 0 0 16.611 3.106 14.809 2.842 1895 5 20.412 1.059 0 0 20.412 1.059 18.644 0.830 1895 6 24.000 -0.998 0 0 24.000 -0.998 22.683 -0.776 1895 7 25.520 -2.568 0 0 25.520 -2.568 24.347 -2.201 1895 8 25.215 -1.887 0 0 25.215 -1.887 24.472 -1.091 1895 9 24.185 2.445 0 0 24.185 2.445 22.422 2.221 1895 10 11.774 -3.468 0 0 11.774 -3.468 11.133 -2.571 1895 11 6.333 -0.449 0 0 6.333 -0.449 3.919 -1.325 1895 12 1.559 0.703 0 0 1.559 0.703 -0.190 0.493 1896 1 2.043 4.219 0 0 2.043 4.219 -1.036 2.679 1896 2 3.467 2.087 0 0 3.467 2.087 2.221 2.379 1896 3 3.620 -2.760 0 0 3.620 -2.760 1.396 -3.445 1896 4 16.963 3.457 0 0 16.963 3.457 15.271 3.304 1896 5 21.147 1.794 0 0 21.147 1.794 19.760 1.946 1896 6 22.870 -2.128 0 0 22.870 -2.128 23.128 -0.331 1896 7 26.039 -2.048 0 0 26.039 -2.048 25.429 -1.120 1896 8 25.986 -1.116 0 0 25.986 -1.116 25.068 -0.495 1896 9 19.167 -2.573 0 0 19.167 -2.573 17.467 -2.734 1896 10 13.111 -2.131 0 0 13.111 -2.131 11.863 -1.840 1896 11 4.674 -2.108 0 0 4.674 -2.108 1.159 -4.084 1896 12 NaN NaN NaN NaN NaN NaN 3.372 4.055 1897 1 NaN NaN NaN NaN NaN NaN -3.991 -0.276 1897 2 NaN NaN NaN NaN NaN NaN -0.712 -0.554 1897 3 NaN NaN NaN NaN NaN NaN 3.684 -1.156 1897 4 NaN NaN NaN NaN NaN NaN 11.560 -0.406 1897 5 NaN NaN NaN NaN NaN NaN 17.125 -0.689 1897 6 NaN NaN NaN NaN NaN NaN 23.960 0.501 1897 7 NaN NaN NaN NaN NaN NaN 26.832 0.283 1897 8 NaN NaN NaN NaN NaN NaN 24.008 -1.555 1897 9 NaN NaN NaN NaN NaN NaN 23.078 2.877 1897 10 NaN NaN NaN NaN NaN NaN 15.869 2.166 1897 11 NaN NaN NaN NaN NaN NaN 4.244 -0.999