% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31979 % Primary Name: DALTON ROME % Record Type: TAVG % Country: United States % State: KS % Latitude: 37.21670 +/- 0.00005 % Longitude: -97.25000 +/- 0.00005 % Elevation (m): 354.16 +/- 15.75 % # of Months: 54 % % Alternate Names: Missing Station ID - 141994 % % IDs: coop - 141994 % ghcnd - USC00141994 % ncdc - 12001915 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: f2fc50b381623b4ddb4b1170da2a398a % Raw Data Hash: e6ebf62bbc8097f82c705b7032dc7cf5 % Adj Data Hash: e494ac560c73c5b8ec1dbcf9be9a27d0 % % 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 1916 8 NaN NaN NaN NaN NaN NaN 27.550 1.156 1916 9 NaN NaN NaN NaN NaN NaN 20.438 -1.006 1916 10 NaN NaN NaN NaN NaN NaN 15.248 0.178 1916 11 NaN NaN NaN NaN NaN NaN 7.407 0.423 1916 12 NaN NaN NaN NaN NaN NaN -0.856 -2.247 1917 1 NaN NaN NaN NaN NaN NaN 0.075 1.248 1917 2 NaN NaN NaN NaN NaN NaN 0.327 -1.710 1917 3 NaN NaN NaN NaN NaN NaN 7.027 0.155 1917 4 NaN NaN NaN NaN NaN NaN 12.239 -1.272 1917 5 NaN NaN NaN NaN NaN NaN 14.358 -4.496 1917 6 NaN NaN NaN NaN NaN NaN 23.670 -0.611 1917 7 NaN NaN NaN NaN NaN NaN 28.148 0.916 1917 8 24.572 -2.713 0 0 24.572 -2.713 23.663 -2.731 1917 9 21.645 -0.690 0 0 21.645 -0.690 20.896 -0.547 1917 10 12.310 -3.651 0 0 12.310 -3.651 11.521 -3.548 1917 11 9.767 1.892 0 0 9.767 1.892 8.901 1.917 1917 12 -1.093 -3.375 0 0 -1.093 -3.375 -3.111 -4.501 1918 1 -5.998 -5.716 0 0 -5.998 -5.716 -7.555 -6.382 1918 2 NaN NaN NaN NaN NaN NaN 2.370 0.333 1918 3 11.413 3.650 0 0 11.413 3.650 9.661 2.789 1918 4 11.353 -3.049 0 0 11.353 -3.049 10.391 -3.121 1918 5 20.974 1.229 0 0 20.974 1.229 20.042 1.188 1918 6 27.045 1.873 0 0 27.045 1.873 26.464 2.183 1918 7 26.184 -1.939 0 0 26.184 -1.939 26.216 -1.015 1918 8 29.511 2.227 0 0 29.511 2.227 28.722 2.328 1918 9 18.887 -3.448 0 0 18.887 -3.448 18.106 -3.338 1918 10 16.953 0.992 0 0 16.953 0.992 16.618 1.549 1918 11 8.130 0.256 0 0 8.130 0.256 6.462 -0.521 1918 12 3.449 1.167 0 0 3.449 1.167 2.568 1.178 1919 1 -0.032 0.250 0 0 -0.032 0.250 -0.944 0.230 1919 2 NaN NaN NaN NaN NaN NaN 1.351 -0.686 1919 3 9.853 2.090 0 0 9.853 2.090 7.021 0.149 1919 4 14.008 -0.394 0 0 14.008 -0.394 12.810 -0.702 1919 5 17.640 -2.105 0 0 17.640 -2.105 16.835 -2.019 1919 6 23.285 -1.887 0 0 23.285 -1.887 22.972 -1.309 1919 7 27.079 -1.044 0 0 27.079 -1.044 27.253 0.021 1919 8 27.002 -0.283 0 0 27.002 -0.283 26.835 0.441 1919 9 23.320 0.985 1 0 NaN NaN 22.865 1.422 1919 10 14.729 -1.232 0 0 14.729 -1.232 14.105 -0.965 1919 11 NaN NaN NaN NaN NaN NaN 5.207 -1.776 1919 12 -0.420 -2.701 0 0 -0.420 -2.701 -1.956 -3.347 1920 1 NaN NaN NaN NaN NaN NaN -0.718 0.455 1920 2 3.872 0.944 0 0 3.872 0.944 2.781 0.744 1920 3 9.002 1.238 0 0 9.002 1.238 7.685 0.813 1920 4 12.600 -1.803 0 0 12.600 -1.803 10.936 -2.575 1920 5 19.526 -0.219 0 0 19.526 -0.219 18.279 -0.575 1920 6 23.402 -1.770 0 0 23.402 -1.770 23.476 -0.805 1920 7 25.339 -2.784 0 0 25.339 -2.784 25.847 -1.384 1920 8 23.119 -4.165 0 0 23.119 -4.165 23.198 -3.195 1920 9 21.858 -0.476 0 0 21.858 -0.476 21.270 -0.173 1920 10 17.045 1.084 0 0 17.045 1.084 16.862 1.793 1920 11 5.705 -2.169 0 0 5.705 -2.169 4.528 -2.455 1920 12 NaN NaN NaN NaN NaN NaN 1.999 0.608 1921 1 4.795 5.077 0 0 4.795 5.077 2.834 4.007 1921 2 5.891 2.963 1 0 NaN NaN 4.872 2.835 1921 3 12.055 4.292 0 0 12.055 4.292 10.193 3.321 1921 4 14.267 -0.136 0 0 14.267 -0.136 13.408 -0.103 1921 5 20.515 0.769 0 0 20.515 0.769 19.425 0.570 1921 6 NaN NaN NaN NaN NaN NaN 24.046 -0.235 1921 7 26.913 -1.210 0 0 26.913 -1.210 26.955 -0.277 1921 8 27.702 0.417 0 0 27.702 0.417 26.793 0.399 1921 9 25.137 2.802 1 0 NaN NaN 23.888 2.445 1921 10 16.277 0.317 0 0 16.277 0.317 16.267 1.197 1921 11 8.322 0.447 0 0 8.322 0.447 7.204 0.220 1921 12 3.092 0.810 0 0 3.092 0.810 2.275 0.884 1922 1 -0.026 0.256 0 0 -0.026 0.256 -1.752 -0.579 1922 2 NaN NaN NaN NaN NaN NaN 2.006 -0.032 1922 3 8.874 1.111 0 0 8.874 1.111 6.593 -0.279 1922 4 14.055 -0.348 0 0 14.055 -0.348 13.428 -0.083 1922 5 19.535 -0.210 0 0 19.535 -0.210 18.451 -0.403 1922 6 25.247 0.075 0 0 25.247 0.075 24.579 0.298 1922 7 26.134 -1.989 0 0 26.134 -1.989 25.629 -1.603 1922 8 26.881 -0.404 0 0 26.881 -0.404 27.265 0.872 1922 9 NaN NaN NaN NaN NaN NaN 22.856 1.412 1922 10 NaN NaN NaN NaN NaN NaN 16.209 1.140 1922 11 NaN NaN NaN NaN NaN NaN 8.246 1.263 1922 12 NaN NaN NaN NaN NaN NaN 2.229 0.838 1923 1 NaN NaN NaN NaN NaN NaN 3.990 5.164 1923 2 NaN NaN NaN NaN NaN NaN 0.558 -1.479 1923 3 NaN NaN NaN NaN NaN NaN 5.274 -1.598 1923 4 NaN NaN NaN NaN NaN NaN 13.213 -0.298 1923 5 NaN NaN NaN NaN NaN NaN 16.817 -2.037 1923 6 NaN NaN NaN NaN NaN NaN 23.874 -0.407 1923 7 NaN NaN NaN NaN NaN NaN 27.047 -0.185 1923 8 NaN NaN NaN NaN NaN NaN 27.372 0.978