% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33433 % Primary Name: UTICA % Record Type: TAVG % Country: United States % State: KS % Latitude: 38.64899 +/- 0.00934 % Longitude: -100.16667 +/- 0.00833 % Elevation (m): 797.09 +/- 1.64 % # of Months: 38 % % IDs: coop - 148323 % ghcnd - USC00148323 % ncdc - 20007616 % nws - UTCK1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 6167645754a143e17a8c3a45032d8c0b % Raw Data Hash: 579544aa63470fa9c8ead47305e4dcbc % Adj Data Hash: 39816963f0f8aadeafcac4c51c3a93c9 % % 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 1915 2 NaN NaN NaN NaN NaN NaN 1.513 1.408 1915 3 NaN NaN NaN NaN NaN NaN -2.958 -7.093 1915 4 NaN NaN NaN NaN 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 1.542 0.655 1 0 NaN NaN -0.347 -0.453 1916 3 8.984 4.067 0 0 8.984 4.067 6.728 2.593 1916 4 8.788 -3.004 0 0 8.788 -3.004 9.374 -1.636 1916 5 16.168 -1.408 0 0 16.168 -1.408 15.881 -0.913 1916 6 20.020 -3.390 0 0 20.020 -3.390 20.019 -2.609 1916 7 26.974 0.365 0 0 26.974 0.365 27.172 1.345 1916 8 25.468 -0.046 0 0 25.468 -0.046 25.141 0.409 1916 9 18.650 -1.526 0 0 18.650 -1.526 18.231 -1.164 1916 10 12.923 -0.693 0 0 12.923 -0.693 12.976 0.142 1916 11 5.495 0.260 0 0 5.495 0.260 3.986 -0.467 1916 12 -3.005 -3.072 0 0 -3.005 -3.072 -4.160 -3.446 1917 1 -1.084 1.264 0 0 -1.084 1.264 -2.734 0.396 1917 2 0.802 -0.085 0 0 0.802 -0.085 -0.683 -0.789 1917 3 4.797 -0.120 0 0 4.797 -0.120 2.916 -1.218 1917 4 9.382 -2.410 0 0 9.382 -2.410 9.365 -1.644 1917 5 13.790 -3.786 0 0 13.790 -3.786 12.799 -3.995 1917 6 23.717 0.307 1 0 NaN NaN 21.957 -0.672 1917 7 26.465 -0.145 0 0 26.465 -0.145 26.653 0.825 1917 8 22.365 -3.149 0 0 22.365 -3.149 22.228 -2.503 1917 9 20.007 -0.170 0 0 20.007 -0.170 19.232 -0.163 1917 10 10.673 -2.943 0 0 10.673 -2.943 9.601 -3.233 1917 11 8.740 3.505 0 0 8.740 3.505 7.516 3.063 1917 12 -1.637 -1.704 1 0 NaN NaN -3.386 -2.672 1918 1 -5.415 -3.067 0 0 -5.415 -3.067 -8.283 -5.153 1918 2 2.955 2.068 0 0 2.955 2.068 1.250 1.144 1918 3 9.087 4.171 0 0 9.087 4.171 7.331 3.196 1918 4 7.578 -4.213 0 0 7.578 -4.213 7.763 -3.247 1918 5 18.468 0.892 0 0 18.468 0.892 17.916 1.122 1918 6 25.415 2.005 0 0 25.415 2.005 24.811 2.182 1918 7 25.142 -1.467 1 0 NaN NaN 24.994 -0.833 1918 8 26.508 0.995 0 0 26.508 0.995 26.020 1.289 1918 9 17.518 -2.658 0 0 17.518 -2.658 16.167 -3.228 1918 10 NaN NaN NaN NaN NaN NaN 14.868 2.033 1918 11 4.408 -0.827 0 0 4.408 -0.827 4.149 -0.304 1918 12 NaN NaN NaN NaN NaN NaN 0.315 1.030 1919 1 -0.841 1.507 0 0 -0.841 1.507 -1.770 1.359 1919 2 -1.375 -2.263 1 0 NaN NaN -1.724 -1.830 1919 3 4.963 0.046 0 0 4.963 0.046 3.884 -0.250 1919 4 9.434 -2.358 0 0 9.434 -2.358 9.771 -1.238 1919 5 15.412 -2.164 0 0 15.412 -2.164 14.844 -1.950 1919 6 NaN NaN NaN NaN NaN NaN 21.155 -1.474 1919 7 NaN NaN NaN NaN NaN NaN 26.079 0.252 1919 8 NaN NaN NaN NaN NaN NaN 24.501 -0.230 1919 9 NaN NaN NaN NaN NaN NaN 20.933 1.539 1919 10 NaN NaN NaN NaN NaN NaN 10.174 -2.661 1919 11 NaN NaN NaN NaN NaN NaN 1.535 -2.918 1919 12 NaN NaN NaN NaN NaN NaN -3.644 -2.929 1920 1 NaN NaN NaN NaN NaN NaN -1.204 1.926 1920 2 NaN NaN NaN NaN NaN NaN 0.963 0.857 1920 3 NaN NaN NaN NaN NaN NaN 4.779 0.644 1920 4 NaN NaN NaN NaN NaN NaN 7.125 -3.885 1920 5 NaN NaN NaN NaN NaN NaN 14.988 -1.807