% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34713 % Primary Name: DENSMORE 2N % Record Type: TAVG % Country: United States % State: KS % Latitude: 39.64697 +/- 0.02198 % Longitude: -99.74509 +/- 0.01324 % Elevation (m): 650.17 +/- 19.32 % # of Months: 67 % % Alternate Names: DENSMORE % % IDs: coop - 142086 % ghcnd - USC00142086 % ncdc - 20007903 % nws - DNSK1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 2fa28d111116c5a60cf8df4d3c6706bc % Raw Data Hash: 0ae8b9984fc62235dc09d94361043e9d % Adj Data Hash: 3af893b2155dcaae3a3932e3e3bdc17d % % 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 1908 5 NaN NaN NaN NaN NaN NaN 15.596 -1.198 1908 6 NaN NaN NaN NaN NaN NaN 21.347 -1.282 1908 7 NaN NaN NaN NaN NaN NaN 23.786 -2.042 1908 8 NaN NaN NaN NaN NaN NaN 23.281 -1.450 1908 9 NaN NaN NaN NaN NaN NaN 20.416 1.021 1908 10 NaN NaN NaN NaN NaN NaN 12.040 -0.794 1908 11 NaN NaN NaN NaN NaN NaN 4.722 0.268 1908 12 NaN NaN NaN NaN NaN NaN 0.615 1.330 1909 1 NaN NaN NaN NaN NaN NaN -3.348 -0.218 1909 2 NaN NaN NaN NaN NaN NaN 0.558 0.452 1909 3 NaN NaN NaN NaN NaN NaN 2.857 -1.277 1909 4 NaN NaN NaN NaN NaN NaN 9.526 -1.484 1909 5 18.279 0.836 1 0 NaN NaN 15.482 -1.313 1909 6 21.918 -1.358 0 0 21.918 -1.358 21.659 -0.970 1909 7 25.074 -1.401 0 0 25.074 -1.401 24.960 -0.868 1909 8 26.808 1.429 0 0 26.808 1.429 26.025 1.293 1909 9 19.557 -0.486 0 0 19.557 -0.486 18.906 -0.489 1909 10 13.094 -0.388 0 0 13.094 -0.388 12.681 -0.153 1909 11 6.658 1.557 0 0 6.658 1.557 6.217 1.764 1909 12 -7.245 -7.178 0 0 -7.245 -7.178 -7.314 -6.600 1910 1 -3.860 -1.378 0 0 -3.860 -1.378 -4.019 -0.889 1910 2 -2.244 -2.998 1 0 NaN NaN -1.508 -1.613 1910 3 11.753 6.971 0 0 11.753 6.971 11.055 6.921 1910 4 14.088 2.430 1 0 NaN NaN 12.995 1.985 1910 5 14.553 -2.889 0 0 14.553 -2.889 14.126 -2.668 1910 6 22.263 -1.013 0 0 22.263 -1.013 21.823 -0.806 1910 7 26.023 -0.453 1 0 NaN NaN 25.725 -0.102 1910 8 23.973 -1.406 0 0 23.973 -1.406 23.101 -1.630 1910 9 NaN NaN NaN NaN NaN NaN 19.613 0.218 1910 10 15.765 2.283 0 0 15.765 2.283 15.157 2.323 1910 11 5.637 0.536 0 0 5.637 0.536 5.090 0.637 1910 12 -1.900 -1.833 0 0 -1.900 -1.833 0.075 0.790 1911 1 -0.563 1.919 0 0 -0.563 1.919 -0.890 2.240 1911 2 1.107 0.354 0 0 1.107 0.354 0.299 0.194 1911 3 9.616 4.834 0 0 9.616 4.834 7.260 3.125 1911 4 11.828 0.171 0 0 11.828 0.171 10.793 -0.217 1911 5 18.257 0.815 0 0 18.257 0.815 17.286 0.492 1911 6 27.257 3.980 0 0 27.257 3.980 25.884 3.255 1911 7 25.803 -0.672 0 0 25.803 -0.672 25.128 -0.700 1911 8 24.408 -0.971 0 0 24.408 -0.971 23.351 -1.381 1911 9 22.918 2.876 0 0 22.918 2.876 21.679 2.284 1911 10 10.868 -2.614 0 0 10.868 -2.614 10.994 -1.840 1911 11 2.547 -2.554 0 0 2.547 -2.554 1.800 -2.653 1911 12 -2.527 -2.461 0 0 -2.527 -2.461 -2.971 -2.257 1912 1 -7.492 -5.010 0 0 -7.492 -5.010 -9.037 -5.907 1912 2 NaN NaN NaN NaN NaN NaN -0.606 -0.712 1912 3 -2.150 -6.933 0 0 -2.150 -6.933 -3.320 -7.454 1912 4 11.748 0.091 0 0 11.748 0.091 10.957 -0.053 1912 5 18.635 1.193 0 0 18.635 1.193 17.504 0.709 1912 6 19.630 -3.646 0 0 19.630 -3.646 19.582 -3.046 1912 7 26.165 -0.311 0 0 26.165 -0.311 25.589 -0.239 1912 8 23.639 -1.741 0 0 23.639 -1.741 23.610 -1.122 1912 9 17.138 -2.904 0 0 17.138 -2.904 16.863 -2.532 1912 10 13.124 -0.358 0 0 13.124 -0.358 12.974 0.140 1912 11 6.733 1.632 0 0 6.733 1.632 5.870 1.416 1912 12 0.802 0.868 0 0 0.802 0.868 0.721 1.436 1913 1 -2.694 -0.212 0 0 -2.694 -0.212 -3.540 -0.410 1913 2 -3.948 -4.701 0 0 -3.948 -4.701 -4.464 -4.570 1913 3 4.044 -0.739 0 0 4.044 -0.739 2.247 -1.888 1913 4 13.680 2.022 0 0 13.680 2.022 12.307 1.297 1913 5 17.695 0.253 0 0 17.695 0.253 17.744 0.949 1913 6 21.245 -2.031 0 0 21.245 -2.031 22.603 -0.026 1913 7 26.545 0.070 0 0 26.545 0.070 26.995 1.167 1913 8 28.689 3.309 0 0 28.689 3.309 27.729 2.998 1913 9 18.812 -1.231 0 0 18.812 -1.231 17.929 -1.466 1913 10 10.165 -3.317 1 0 NaN NaN 11.022 -1.813 1913 11 7.770 2.669 0 0 7.770 2.669 6.974 2.521 1913 12 0.261 0.328 0 0 0.261 0.328 -0.448 0.266 1914 1 3.605 6.087 0 0 3.605 6.087 1.721 4.850 1914 2 1.704 0.950 0 0 1.704 0.950 -2.295 -2.401 1914 3 5.297 0.514 0 0 5.297 0.514 3.643 -0.492 1914 4 11.427 -0.231 0 0 11.427 -0.231 11.570 0.560 1914 5 17.108 -0.334 0 0 17.108 -0.334 16.383 -0.412 1914 6 24.268 0.992 0 0 24.268 0.992 24.165 1.536 1914 7 25.258 -1.217 0 0 25.258 -1.217 25.445 -0.382 1914 8 NaN NaN NaN NaN NaN NaN 24.444 -0.288 1914 9 20.886 0.844 1 0 NaN NaN 20.535 1.140 1914 10 13.157 -0.325 1 0 NaN NaN 13.693 0.859 1914 11 NaN NaN NaN NaN NaN NaN 7.204 2.751 1914 12 -5.841 -5.774 0 0 -5.841 -5.774 -6.632 -5.917 1915 1 0.915 3.397 1 0 NaN NaN -3.739 -0.610 1915 2 NaN NaN NaN NaN NaN NaN 1.513 1.408 1915 3 -1.205 -5.987 1 0 NaN NaN -2.958 -7.093 1915 4 11.715 0.057 1 0 NaN NaN 13.459 2.449 1915 5 NaN NaN NaN NaN NaN NaN 13.752 -3.042 1915 6 NaN NaN NaN NaN NaN NaN 19.025 -3.603 1915 7 NaN NaN NaN NaN NaN NaN 22.078 -3.749 1915 8 NaN NaN NaN NaN NaN NaN 20.120 -4.611 1915 9 NaN NaN NaN NaN NaN NaN 18.377 -1.018 1915 10 NaN NaN NaN NaN NaN NaN 14.090 1.255 1915 11 NaN NaN NaN NaN NaN NaN 6.700 2.247 1915 12 NaN NaN NaN NaN NaN NaN -0.067 0.647 1916 1 NaN NaN NaN NaN NaN NaN -6.724 -3.595 1916 2 NaN NaN NaN NaN NaN NaN -0.347 -0.453 1916 3 NaN NaN NaN NaN NaN NaN 6.728 2.593 1916 4 NaN NaN NaN NaN NaN NaN 9.374 -1.636