% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32391 % Primary Name: HESS % Record Type: TAVG % Country: United States % State: KS % Latitude: 37.63330 +/- 0.00005 % Longitude: -100.35000 +/- 0.00005 % Elevation (m): 847.44 +/- 11.65 % # of Months: 79 % % Alternate Names: Missing Station ID - 143616 % % IDs: coop - 143616 % ghcnd - USC00143616 % ncdc - 12001955 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 541fe9140fbbc4c0acdf44a2c808cfdb % Raw Data Hash: aaab24073477a3e7dc442c6e778e2341 % Adj Data Hash: cd1625b907946a2910b374315f153441 % % 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 1905 2 NaN NaN NaN NaN NaN NaN -5.270 -7.172 1905 3 NaN NaN NaN NaN NaN NaN 9.248 3.105 1905 4 NaN NaN NaN NaN NaN NaN 11.165 -1.532 1905 5 NaN NaN NaN NaN NaN NaN 16.755 -1.458 1905 6 NaN NaN NaN NaN NaN NaN 24.810 0.865 1905 7 NaN NaN NaN NaN NaN NaN 24.162 -2.721 1905 8 NaN NaN NaN NaN NaN NaN 26.252 0.329 1905 9 NaN NaN NaN NaN NaN NaN 22.095 1.189 1905 10 NaN NaN NaN NaN NaN NaN 12.480 -1.962 1905 11 NaN NaN NaN NaN NaN NaN 7.377 1.229 1905 12 NaN NaN NaN NaN NaN NaN 0.854 -0.209 1906 1 NaN NaN NaN NaN NaN NaN 2.083 3.291 1906 2 1.932 0.746 0 0 1.932 0.746 2.544 0.642 1906 3 0.562 -4.865 1 0 NaN NaN 0.472 -5.672 1906 4 13.935 1.954 0 0 13.935 1.954 14.537 1.840 1906 5 17.527 0.031 0 0 17.527 0.031 18.014 -0.199 1906 6 20.998 -2.230 0 0 20.998 -2.230 22.156 -1.789 1906 7 22.074 -4.093 0 0 22.074 -4.093 23.059 -3.824 1906 8 23.516 -1.691 0 0 23.516 -1.691 24.363 -1.560 1906 9 20.146 -0.044 1 0 NaN NaN 20.362 -0.544 1906 10 12.077 -1.649 0 0 12.077 -1.649 12.205 -2.238 1906 11 4.013 -1.418 0 0 4.013 -1.418 4.829 -1.319 1906 12 3.448 3.101 0 0 3.448 3.101 3.987 2.924 1907 1 -0.052 1.872 0 0 -0.052 1.872 -0.632 0.576 1907 2 3.368 2.182 0 0 3.368 2.182 3.429 1.527 1907 3 10.529 5.102 0 0 10.529 5.102 10.741 4.598 1907 4 9.389 -2.592 0 0 9.389 -2.592 9.696 -3.001 1907 5 13.524 -3.972 0 0 13.524 -3.972 14.324 -3.889 1907 6 21.208 -2.021 0 0 21.208 -2.021 22.529 -1.416 1907 7 24.214 -1.953 0 0 24.214 -1.953 25.871 -1.012 1907 8 23.785 -1.421 0 0 23.785 -1.421 25.293 -0.630 1907 9 20.598 0.408 0 0 20.598 0.408 20.872 -0.035 1907 10 14.695 0.968 0 0 14.695 0.968 14.685 0.242 1907 11 4.738 -0.693 0 0 4.738 -0.693 5.627 -0.521 1907 12 0.837 0.490 0 0 0.837 0.490 1.404 0.340 1908 1 2.098 4.022 0 0 2.098 4.022 2.083 3.291 1908 2 2.856 1.670 0 0 2.856 1.670 3.375 1.473 1908 3 8.731 3.303 0 0 8.731 3.303 8.382 2.238 1908 4 13.412 1.431 0 0 13.412 1.431 13.389 0.692 1908 5 17.698 0.202 0 0 17.698 0.202 17.757 -0.455 1908 6 22.388 -0.841 0 0 22.388 -0.841 22.708 -1.237 1908 7 23.373 -2.794 0 0 23.373 -2.794 24.453 -2.430 1908 8 23.773 -1.434 0 0 23.773 -1.434 24.736 -1.187 1908 9 20.317 0.127 0 0 20.317 0.127 20.900 -0.007 1908 10 12.104 -1.623 0 0 12.104 -1.623 13.357 -1.086 1908 11 6.022 0.591 0 0 6.022 0.591 6.020 -0.128 1908 12 2.169 1.822 0 0 2.169 1.822 2.661 1.597 1909 1 -0.844 1.080 0 0 -0.844 1.080 -1.571 -0.363 1909 2 2.811 1.625 0 0 2.811 1.625 3.367 1.465 1909 3 4.538 -0.889 0 0 4.538 -0.889 4.900 -1.243 1909 4 10.804 -1.177 0 0 10.804 -1.177 11.768 -0.929 1909 5 15.756 -1.741 0 0 15.756 -1.741 16.694 -1.518 1909 6 22.480 -0.749 0 0 22.480 -0.749 23.359 -0.586 1909 7 26.264 0.097 1 0 NaN NaN 26.585 -0.298 1909 8 26.179 0.972 0 0 26.179 0.972 27.057 1.134 1909 9 19.498 -0.692 0 0 19.498 -0.692 21.017 0.111 1909 10 13.155 -0.571 0 0 13.155 -0.571 14.034 -0.409 1909 11 8.040 2.608 0 0 8.040 2.608 8.588 2.440 1909 12 -6.143 -6.490 0 0 -6.143 -6.490 -4.255 -5.319 1910 1 -0.460 1.464 0 0 -0.460 1.464 -0.648 0.559 1910 2 -0.357 -1.543 0 0 -0.357 -1.543 -0.644 -2.546 1910 3 12.866 7.439 0 0 12.866 7.439 12.523 6.380 1910 4 13.258 1.277 0 0 13.258 1.277 14.164 1.467 1910 5 14.920 -2.577 0 0 14.920 -2.577 15.573 -2.640 1910 6 22.243 -0.985 0 0 22.243 -0.985 23.272 -0.673 1910 7 26.478 0.311 1 0 NaN NaN 26.891 0.008 1910 8 23.767 -1.440 0 0 23.767 -1.440 24.774 -1.149 1910 9 21.741 1.551 0 0 21.741 1.551 21.605 0.699 1910 10 16.106 2.380 0 0 16.106 2.380 16.030 1.587 1910 11 6.000 0.568 0 0 6.000 0.568 7.308 1.161 1910 12 0.965 0.618 0 0 0.965 0.618 1.779 0.715 1911 1 2.861 4.785 0 0 2.861 4.785 1.516 2.724 1911 2 -0.552 -1.737 0 0 -0.552 -1.737 1.512 -0.390 1911 3 8.259 2.832 0 0 8.259 2.832 8.424 2.281 1911 4 12.268 0.287 0 0 12.268 0.287 12.819 0.122 1911 5 18.076 0.580 0 0 18.076 0.580 18.307 0.094 1911 6 24.318 1.089 0 0 24.318 1.089 26.394 2.449 1911 7 23.771 -2.396 0 0 23.771 -2.396 25.929 -0.955 1911 8 23.600 -1.607 0 0 23.600 -1.607 24.645 -1.278 1911 9 23.417 3.227 0 0 23.417 3.227 23.884 2.978 1911 10 12.579 -1.148 0 0 12.579 -1.148 13.271 -1.171 1911 11 1.393 -4.039 0 0 1.393 -4.039 3.643 -2.505 1911 12 -5.742 -6.089 0 0 -5.742 -6.089 -1.752 -2.816 1912 1 -8.944 -7.020 0 0 -8.944 -7.020 -7.591 -6.384 1912 2 -0.496 -1.681 0 0 -0.496 -1.681 0.384 -1.518 1912 3 -0.815 -6.242 0 0 -0.815 -6.242 -0.865 -7.008 1912 4 10.897 -1.084 0 0 10.897 -1.084 12.151 -0.546 1912 5 17.757 0.260 0 0 17.757 0.260 18.886 0.674 1912 6 NaN NaN NaN NaN NaN NaN 21.084 -2.861 1912 7 24.900 -1.267 0 0 24.900 -1.267 26.848 -0.035 1912 8 NaN NaN NaN NaN NaN NaN 25.167 -0.756 1912 9 11.075 -9.115 1 0 NaN NaN 18.322 -2.584 1912 10 NaN NaN NaN NaN NaN NaN 14.645 0.202 1912 11 8.354 2.922 1 0 NaN NaN 7.160 1.012 1912 12 NaN NaN NaN NaN NaN NaN 1.676 0.613 1913 1 NaN NaN NaN NaN NaN NaN -1.553 -0.346 1913 2 NaN NaN NaN NaN NaN NaN -3.497 -5.399 1913 3 NaN NaN NaN NaN NaN NaN 4.249 -1.894 1913 4 NaN NaN NaN NaN NaN NaN 13.667 0.969 1913 5 NaN NaN NaN NaN NaN NaN 19.764 1.551 1913 6 NaN NaN NaN NaN NaN NaN 23.361 -0.584 1913 7 NaN NaN NaN NaN NaN NaN 27.858 0.975 1913 8 NaN NaN NaN NaN NaN NaN 28.535 2.612 1913 9 NaN NaN NaN NaN NaN NaN 18.705 -2.201 1913 10 NaN NaN NaN NaN NaN NaN 12.608 -1.835 1913 11 NaN NaN NaN NaN NaN NaN 8.680 2.532