% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36443 % Primary Name: ASHLAND 2 NE % Record Type: TAVG % Country: United States % State: NE % Latitude: 41.05000 +/- 0.00500 % Longitude: -96.35000 +/- 0.00500 % Elevation (m): 329.12 +/- 15.01 % # of Months: 51 % % Alternate Names: Missing Station ID - 250372 % % IDs: coop - 250372 % ghcnd - USC00250372 % ncdc - 20013164 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 10234057bff3420f628fdb953faa4a31 % Raw Data Hash: 911865fd9e82c3795f180f5d187dfc6e % Adj Data Hash: 602e8dffe9b220ee2f650bd40522fd9e % % 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 1 NaN NaN NaN NaN NaN NaN -7.381 -0.838 1894 2 NaN NaN NaN NaN NaN NaN -6.324 -3.523 1894 3 NaN NaN NaN NaN NaN NaN 5.155 2.364 1894 4 NaN NaN NaN NaN NaN NaN 12.441 1.626 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 -6.130 -0.861 0 0 -6.130 -0.861 -9.077 -2.534 1895 2 -5.992 -4.467 0 0 -5.992 -4.467 -6.477 -3.676 1895 3 2.599 -1.468 0 0 2.599 -1.468 2.033 -0.758 1895 4 15.333 3.243 0 0 15.333 3.243 13.787 2.972 1895 5 19.624 1.276 0 0 19.624 1.276 17.360 0.288 1895 6 NaN NaN NaN NaN NaN NaN 21.163 -1.115 1895 7 25.914 -0.206 0 0 25.914 -0.206 22.981 -1.864 1895 8 24.588 -0.285 0 0 24.588 -0.285 22.820 -0.778 1895 9 22.889 3.023 0 0 22.889 3.023 20.798 2.207 1895 10 10.484 -3.071 0 0 10.484 -3.071 9.692 -2.588 1895 11 4.259 -0.905 0 0 4.259 -0.905 2.371 -1.518 1895 12 -0.358 1.203 0 0 -0.358 1.203 -2.199 0.638 1896 1 -1.362 3.906 0 0 -1.362 3.906 -4.084 2.460 1896 2 0.996 2.522 0 0 0.996 2.522 -0.358 2.443 1896 3 0.968 -3.098 0 0 0.968 -3.098 -0.706 -3.497 1896 4 14.944 2.855 0 0 14.944 2.855 13.825 3.010 1896 5 19.839 1.491 0 0 19.839 1.491 18.892 1.819 1896 6 23.444 -0.108 1 0 NaN NaN 21.815 -0.462 1896 7 24.892 -1.228 0 0 24.892 -1.228 23.506 -1.339 1896 8 24.014 -0.858 0 0 24.014 -0.858 22.650 -0.948 1896 9 16.296 -3.570 0 0 16.296 -3.570 15.337 -3.254 1896 10 10.699 -2.856 0 0 10.699 -2.856 10.266 -2.014 1896 11 2.111 -3.053 0 0 2.111 -3.053 -0.894 -4.783 1896 12 1.523 3.085 0 0 1.523 3.085 1.090 3.927 1897 1 -6.389 -1.121 0 0 -6.389 -1.121 -7.452 -0.909 1897 2 -2.718 -1.193 0 0 -2.718 -1.193 -2.825 -0.024 1897 3 1.667 -2.400 0 0 1.667 -2.400 0.754 -2.037 1897 4 9.500 -2.590 0 0 9.500 -2.590 10.023 -0.792 1897 5 17.814 -0.534 0 0 17.814 -0.534 15.826 -1.246 1897 6 24.241 0.688 0 0 24.241 0.688 22.127 -0.150 1897 7 27.944 1.824 0 0 27.944 1.824 25.459 0.613 1897 8 22.993 -1.880 0 0 22.993 -1.880 21.463 -2.134 1897 9 23.831 3.965 0 0 23.831 3.965 22.337 3.746 1897 10 14.749 1.194 0 0 14.749 1.194 14.748 2.468 1897 11 1.926 -3.238 0 0 1.926 -3.238 2.023 -1.866 1897 12 -4.892 -3.331 0 0 -4.892 -3.331 -6.425 -3.589 1898 1 -1.452 3.817 0 0 -1.452 3.817 -4.227 2.317 1898 2 -0.397 1.129 0 0 -0.397 1.129 -2.142 0.659 1898 3 3.996 -0.070 0 0 3.996 -0.070 2.874 0.083 1898 4 11.259 -0.831 0 0 11.259 -0.831 10.129 -0.686 1898 5 17.419 -0.928 0 0 17.419 -0.928 15.638 -1.434 1898 6 23.481 -0.071 1 0 NaN NaN 22.809 0.532 1898 7 25.699 -0.421 0 0 25.699 -0.421 23.799 -1.046 1898 8 25.896 1.023 0 0 25.896 1.023 23.995 0.397 1898 9 19.630 -0.237 0 0 19.630 -0.237 18.914 0.323 1898 10 8.477 -5.078 0 0 8.477 -5.078 9.844 -2.436 1898 11 1.426 -3.738 0 0 1.426 -3.738 0.898 -2.991 1898 12 -5.771 -4.209 0 0 -5.771 -4.209 -6.184 -3.347 1899 1 -5.072 0.197 0 0 -5.072 0.197 -5.973 0.571 1899 2 -10.397 -8.871 0 0 -10.397 -8.871 -10.124 -7.324 1899 3 -1.971 -6.038 0 0 -1.971 -6.038 -3.434 -6.226 1899 4 10.870 -1.219 0 0 10.870 -1.219 10.251 -0.563 1899 5 NaN NaN NaN NaN NaN NaN 16.769 -0.303 1899 6 NaN NaN NaN NaN NaN NaN 22.247 -0.030 1899 7 NaN NaN NaN NaN NaN NaN 23.430 -1.415 1899 8 NaN NaN NaN NaN NaN NaN 24.221 0.623 1899 9 NaN NaN NaN NaN NaN NaN 17.916 -0.675 1899 10 NaN NaN NaN NaN NaN NaN 15.278 2.998 1899 11 NaN NaN NaN NaN NaN NaN 7.400 3.510 1899 12 NaN NaN NaN NaN NaN NaN -4.124 -1.287 1900 1 NaN NaN NaN NaN NaN NaN -2.987 3.556 1900 2 NaN NaN NaN NaN NaN NaN -8.005 -5.205 1900 3 NaN NaN NaN NaN NaN NaN 1.101 -1.690 1900 4 NaN NaN NaN NaN NaN NaN 12.515 1.700