% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35712 % Primary Name: WILBER % Record Type: TAVG % Country: United States % State: NE % Latitude: 40.48330 +/- 0.00005 % Longitude: -96.96670 +/- 0.00005 % Elevation (m): 403.86 +/- 0.15 % # of Months: 50 % % Alternate Names: Missing Station ID - 259279 % % IDs: coop - 259279 % ghcnd - USC00259279 % ncdc - 12003327 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 79d7549f49d8af506adb7537c6a0fa4b % Raw Data Hash: 2baf395574fcee16feb07d38e6443b6d % Adj Data Hash: f118e344da041f72c1f2ff28dcf12732 % % 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 1893 11 NaN NaN NaN NaN NaN NaN 1.798 -1.639 1893 12 NaN NaN NaN NaN NaN NaN -2.092 0.710 1894 1 NaN NaN NaN NaN NaN NaN -7.489 -1.425 1894 2 NaN NaN NaN NaN NaN NaN -6.678 -4.295 1894 3 NaN NaN NaN NaN NaN NaN 4.010 1.435 1894 4 NaN NaN NaN NaN NaN NaN 12.013 1.718 1894 5 NaN NaN NaN NaN NaN NaN 17.132 0.601 1894 6 NaN NaN NaN NaN NaN NaN 22.672 0.642 1894 7 NaN NaN NaN NaN NaN NaN 24.896 0.048 1894 8 NaN NaN NaN NaN NaN NaN 24.909 1.195 1894 9 NaN NaN NaN NaN NaN NaN 18.655 0.273 1894 10 NaN NaN NaN NaN NaN NaN 12.730 0.782 1894 11 4.000 -1.528 0 0 4.000 -1.528 2.408 -1.029 1894 12 2.337 3.049 0 0 2.337 3.049 -0.700 2.102 1895 1 -3.419 0.555 1 0 NaN NaN -8.608 -2.544 1895 2 NaN NaN NaN NaN NaN NaN -6.102 -3.719 1895 3 5.591 0.926 0 0 5.591 0.926 1.973 -0.602 1895 4 15.185 2.800 0 0 15.185 2.800 13.761 3.466 1895 5 18.244 -0.378 0 0 18.244 -0.378 16.954 0.422 1895 6 NaN NaN NaN NaN NaN NaN 21.051 -0.978 1895 7 24.409 -2.530 0 0 24.409 -2.530 23.222 -1.626 1895 8 23.907 -1.897 0 0 23.907 -1.897 22.970 -0.744 1895 9 22.370 1.898 0 0 22.370 1.898 20.231 1.849 1895 10 10.520 -3.520 0 0 10.520 -3.520 9.654 -2.295 1895 11 4.870 -0.657 0 0 4.870 -0.657 1.991 -1.446 1895 12 0.323 1.035 0 0 0.323 1.035 -1.780 1.022 1896 1 -0.000 3.974 0 0 -0.000 3.974 -2.904 3.160 1896 2 2.318 2.610 0 0 2.318 2.610 0.506 2.889 1896 3 1.685 -2.981 0 0 1.685 -2.981 -1.399 -3.974 1896 4 15.037 2.652 0 0 15.037 2.652 12.555 2.260 1896 5 19.140 0.518 0 0 19.140 0.518 18.065 1.533 1896 6 21.833 -2.287 0 0 21.833 -2.287 21.681 -0.348 1896 7 23.925 -3.014 0 0 23.925 -3.014 23.599 -1.249 1896 8 24.014 -1.790 0 0 24.014 -1.790 22.911 -0.803 1896 9 17.648 -2.825 0 0 17.648 -2.825 15.493 -2.890 1896 10 11.631 -2.408 0 0 11.631 -2.408 10.060 -1.889 1896 11 0.389 -5.139 0 0 0.389 -5.139 -2.290 -5.727 1896 12 3.100 3.813 0 0 3.100 3.813 1.644 4.446 1897 1 -1.429 2.545 0 0 -1.429 2.545 -6.183 -0.119 1897 2 -0.247 0.046 0 0 -0.247 0.046 -2.219 0.163 1897 3 3.136 -1.529 0 0 3.136 -1.529 0.779 -1.796 1897 4 11.852 -0.533 0 0 11.852 -0.533 9.627 -0.668 1897 5 17.581 -1.041 0 0 17.581 -1.041 15.815 -0.717 1897 6 23.556 -0.564 0 0 23.556 -0.564 21.511 -0.519 1897 7 28.047 1.108 0 0 28.047 1.108 24.919 0.071 1897 8 22.079 -3.725 0 0 22.079 -3.725 21.639 -2.075 1897 9 23.037 2.564 0 0 23.037 2.564 21.887 3.505 1897 10 15.251 1.212 0 0 15.251 1.212 13.647 1.698 1897 11 4.598 -0.930 0 0 4.598 -0.930 1.436 -2.001 1897 12 -1.667 -0.955 0 0 -1.667 -0.955 -5.219 -2.417 1898 1 0.986 4.959 0 0 0.986 4.959 -3.188 2.876 1898 2 2.500 2.792 0 0 2.500 2.792 -0.841 1.542 1898 3 6.022 1.356 0 0 6.022 1.356 2.064 -0.511 1898 4 11.907 -0.478 0 0 11.907 -0.478 9.734 -0.561 1898 5 17.760 -0.862 0 0 17.760 -0.862 14.717 -1.815 1898 6 24.796 0.676 0 0 24.796 0.676 21.955 -0.075 1898 7 23.889 -3.049 0 0 23.889 -3.049 23.877 -0.971 1898 8 24.677 -1.127 0 0 24.677 -1.127 23.892 0.178 1898 9 19.056 -1.417 0 0 19.056 -1.417 18.060 -0.323 1898 10 11.398 -2.641 0 0 11.398 -2.641 9.252 -2.697 1898 11 2.463 -3.065 0 0 2.463 -3.065 0.127 -3.310 1898 12 -3.574 -2.862 0 0 -3.574 -2.862 -4.709 -1.906 1899 1 -2.688 1.286 0 0 -2.688 1.286 -5.869 0.195 1899 2 -8.148 -7.856 0 0 -8.148 -7.856 -10.426 -8.044 1899 3 NaN NaN NaN NaN NaN NaN -3.453 -6.028 1899 4 NaN NaN NaN NaN NaN NaN 10.170 -0.125 1899 5 NaN NaN NaN NaN NaN NaN 16.268 -0.263 1899 6 NaN NaN NaN NaN NaN NaN 22.045 0.015 1899 7 NaN NaN NaN NaN NaN NaN 23.201 -1.647 1899 8 NaN NaN NaN NaN NaN NaN 24.450 0.736 1899 9 NaN NaN NaN NaN NaN NaN 18.016 -0.366 1899 10 NaN NaN NaN NaN NaN NaN 13.959 2.010 1899 11 NaN NaN NaN NaN NaN NaN 6.630 3.193 1899 12 NaN NaN NaN NaN NaN NaN -3.756 -0.953 1900 1 NaN NaN NaN NaN NaN NaN -2.327 3.737 1900 2 NaN NaN NaN NaN NaN NaN -6.923 -4.541