% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35658 % Primary Name: FAIRFIELD % Record Type: TAVG % Country: United States % State: NE % Latitude: 40.45000 +/- 0.00005 % Longitude: -98.08330 +/- 0.00005 % Elevation (m): 541.60 +/- 13.61 % # of Months: 22 % % Alternate Names: Missing Station ID - 252832 % % IDs: coop - 252832 % ghcnd - USC00252832 % ncdc - 12003265 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 67287faa1c42eb5fe7497bd7aacf9e5c % Raw Data Hash: d3d4db94fc00961e2d86ec04e97f433e % Adj Data Hash: eaaa69e3c4a93228e3202de2ff84b176 % % 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 1897 3 NaN NaN NaN NaN NaN NaN 0.779 -1.796 1897 4 NaN NaN NaN NaN NaN NaN 9.627 -0.668 1897 5 NaN NaN NaN NaN NaN NaN 15.815 -0.717 1897 6 NaN NaN NaN NaN NaN NaN 21.511 -0.519 1897 7 NaN NaN NaN NaN NaN NaN 24.919 0.071 1897 8 NaN NaN NaN NaN NaN NaN 21.639 -2.075 1897 9 NaN NaN NaN NaN NaN NaN 21.887 3.505 1897 10 NaN NaN NaN NaN NaN NaN 13.647 1.698 1897 11 NaN NaN NaN NaN NaN NaN 1.436 -2.001 1897 12 NaN NaN NaN NaN NaN NaN -5.219 -2.417 1898 1 NaN NaN NaN NaN NaN NaN -3.188 2.876 1898 2 NaN NaN NaN NaN NaN NaN -0.841 1.542 1898 3 7.219 3.276 0 0 7.219 3.276 2.064 -0.511 1898 4 NaN NaN NaN NaN NaN NaN 9.734 -0.561 1898 5 NaN NaN NaN NaN NaN NaN 14.717 -1.815 1898 6 NaN NaN NaN NaN NaN NaN 21.955 -0.075 1898 7 NaN NaN NaN NaN NaN NaN 23.877 -0.971 1898 8 NaN NaN NaN NaN NaN NaN 23.892 0.178 1898 9 NaN NaN NaN NaN NaN NaN 18.060 -0.323 1898 10 NaN NaN NaN NaN NaN NaN 9.252 -2.697 1898 11 NaN NaN NaN NaN NaN NaN 0.127 -3.310 1898 12 NaN NaN NaN NaN NaN NaN -4.709 -1.906 1899 1 NaN NaN NaN NaN NaN NaN -5.869 0.195 1899 2 NaN NaN NaN NaN NaN NaN -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 21.540 -1.858 0 2 21.540 -1.858 22.045 0.015 1899 7 23.585 -2.631 0 0 23.585 -2.631 23.201 -1.647 1899 8 26.377 1.296 0 0 26.377 1.296 24.450 0.736 1899 9 19.347 -0.404 0 0 19.347 -0.404 18.016 -0.366 1899 10 15.023 1.706 0 0 15.023 1.706 13.959 2.010 1899 11 7.995 3.190 0 0 7.995 3.190 6.630 3.193 1899 12 NaN NaN NaN NaN NaN NaN -3.756 -0.953 1900 1 0.317 5.013 1 0 NaN NaN -2.327 3.737 1900 2 -4.986 -3.971 1 0 NaN NaN -6.923 -4.541 1900 3 5.318 1.375 0 0 5.318 1.375 1.758 -0.817 1900 4 13.168 1.505 0 0 13.168 1.505 11.930 1.635 1900 5 18.137 0.237 0 0 18.137 0.237 17.840 1.309 1900 6 23.231 -0.166 1 0 NaN NaN 22.627 0.597 1900 7 25.408 -0.808 0 0 25.408 -0.808 24.433 -0.415 1900 8 NaN NaN NaN NaN NaN NaN 25.555 1.841 1900 9 NaN NaN NaN NaN NaN NaN 18.401 0.019 1900 10 15.871 2.554 0 0 15.871 2.554 15.194 3.245 1900 11 7.675 2.870 1 0 NaN NaN 1.979 -1.458 1900 12 NaN NaN NaN NaN NaN NaN -0.008 2.795 1901 1 -1.244 3.452 0 0 -1.244 3.452 -4.148 1.916 1901 2 -3.532 -2.517 1 0 NaN NaN -5.543 -3.160 1901 3 6.159 2.216 1 0 NaN NaN 1.623 -0.951 1901 4 NaN NaN NaN NaN NaN NaN 10.066 -0.229 1901 5 16.026 -1.874 0 0 16.026 -1.874 15.992 -0.540 1901 6 24.088 0.691 0 0 24.088 0.691 23.180 1.151 1901 7 29.537 3.321 0 0 29.537 3.321 28.962 4.114 1901 8 NaN NaN NaN NaN NaN NaN 24.476 0.762 1901 9 NaN NaN NaN NaN NaN NaN 17.343 -1.039 1901 10 NaN NaN NaN NaN NaN NaN 13.514 1.565 1901 11 NaN NaN NaN NaN NaN NaN 3.936 0.499 1901 12 NaN NaN NaN NaN NaN NaN -4.477 -1.674 1902 1 NaN NaN NaN NaN NaN NaN -4.944 1.120 1902 2 NaN NaN NaN NaN NaN NaN -5.463 -3.080 1902 3 NaN NaN NaN NaN NaN NaN 4.055 1.480 1902 4 NaN NaN NaN NaN NaN NaN 10.315 0.020 1902 5 NaN NaN NaN NaN NaN NaN 18.021 1.490 1902 6 NaN NaN NaN NaN NaN NaN 19.160 -2.870 1902 7 NaN NaN NaN NaN NaN NaN 22.943 -1.905