% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31122 % Primary Name: SHATTUCK 1 N % Record Type: TAVG % Country: United States % State: OK % Latitude: 36.27916 +/- 0.01251 % Longitude: -99.88417 +/- 0.00917 % Elevation (m): 676.02 +/- 7.13 % # of Months: 38 % % Alternate Names: SHATTUCK % SHATTUCK 1NW % SHATTUCK 2 W % % IDs: coop - 348092 % coop - 348101 % ghcnd - USC00348092 % ghcnd - USC00348101 % ncdc - 20014943 % ncdc - 20014944 % nws - STTO2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 95760e7f39dfcbdeba40f14dfc50d6ac % Raw Data Hash: 18db54f638ecbdd32776040f52dd13f5 % Adj Data Hash: 0830b815f8e42a9d5f2889a6158d924a % % 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 1920 6 NaN NaN NaN NaN NaN NaN 24.292 -0.737 1920 7 NaN NaN NaN NaN NaN NaN 26.808 -1.017 1920 8 NaN NaN NaN NaN NaN NaN 23.371 -3.631 1920 9 NaN NaN NaN NaN NaN NaN 21.919 -0.363 1920 10 NaN NaN NaN NaN NaN NaN 16.891 1.035 1920 11 NaN NaN NaN NaN NaN NaN 6.027 -2.064 1920 12 NaN NaN NaN NaN NaN NaN 3.757 0.594 1921 1 NaN NaN NaN NaN NaN NaN 4.618 3.512 1921 2 NaN NaN NaN NaN NaN NaN 5.219 1.182 1921 3 NaN NaN NaN NaN NaN NaN 11.406 3.022 1921 4 NaN NaN NaN NaN NaN NaN 14.023 -0.607 1921 5 NaN NaN NaN NaN NaN NaN 19.612 -0.039 1921 6 23.667 -1.535 0 0 23.667 -1.535 23.574 -1.456 1921 7 NaN NaN NaN NaN NaN NaN 26.533 -1.293 1921 8 28.333 1.160 0 0 28.333 1.160 27.359 0.358 1921 9 25.000 2.546 0 0 25.000 2.546 24.386 2.104 1921 10 NaN NaN NaN NaN NaN NaN 17.403 1.547 1921 11 NaN NaN NaN NaN NaN NaN 8.985 0.894 1921 12 NaN NaN NaN NaN NaN NaN 4.457 1.295 1922 1 NaN NaN NaN NaN NaN NaN 0.120 -0.986 1922 2 NaN NaN NaN NaN NaN NaN 4.241 0.204 1922 3 8.333 -0.223 0 0 8.333 -0.223 7.550 -0.834 1922 4 13.000 -1.802 0 0 13.000 -1.802 14.057 -0.573 1922 5 NaN NaN NaN NaN NaN NaN 19.059 -0.592 1922 6 NaN NaN NaN NaN NaN NaN 24.914 -0.116 1922 7 NaN NaN NaN NaN NaN NaN 27.456 -0.370 1922 8 30.494 3.321 1 0 NaN NaN 28.556 1.555 1922 9 NaN NaN NaN NaN NaN NaN 23.866 1.584 1922 10 NaN NaN NaN NaN NaN NaN 16.597 0.741 1922 11 NaN NaN NaN NaN NaN NaN 9.161 1.070 1922 12 NaN NaN NaN NaN NaN NaN 4.210 1.048 1923 1 NaN NaN NaN NaN NaN NaN 6.064 4.958 1923 2 NaN NaN NaN NaN NaN NaN 2.263 -1.774 1923 3 10.157 1.601 1 0 NaN NaN 6.746 -1.638 1923 4 14.000 -0.802 0 0 14.000 -0.802 14.320 -0.310 1923 5 18.111 -1.712 0 0 18.111 -1.712 17.808 -1.843 1923 6 24.222 -0.979 0 0 24.222 -0.979 24.249 -0.781 1923 7 27.778 -0.220 0 0 27.778 -0.220 27.852 0.026 1923 8 27.444 0.271 0 0 27.444 0.271 27.810 0.808 1923 9 23.111 0.657 0 0 23.111 0.657 22.323 0.041 1923 10 14.000 -2.028 0 0 14.000 -2.028 12.957 -2.899 1923 11 8.833 0.570 0 0 8.833 0.570 8.212 0.121 1923 12 4.333 0.999 0 0 4.333 0.999 4.405 1.242 1924 1 1.000 -0.278 0 0 1.000 -0.278 -0.231 -1.337 1924 2 5.333 1.124 0 0 5.333 1.124 4.389 0.351 1924 3 4.611 -3.945 0 0 4.611 -3.945 3.365 -5.019 1924 4 14.000 -0.802 0 0 14.000 -0.802 14.118 -0.512 1924 5 15.889 -3.934 0 0 15.889 -3.934 15.917 -3.734 1924 6 26.778 1.576 0 0 26.778 1.576 26.621 1.592 1924 7 26.222 -1.775 0 0 26.222 -1.775 25.718 -2.107 1924 8 27.333 0.160 0 0 27.333 0.160 27.678 0.676 1924 9 20.444 -2.010 0 0 20.444 -2.010 20.417 -1.866 1924 10 16.556 0.527 0 0 16.556 0.527 17.020 1.163 1924 11 9.667 1.404 0 0 9.667 1.404 9.660 1.569 1924 12 -0.667 -4.001 0 0 -0.667 -4.001 -0.902 -4.064 1925 1 0.667 -0.611 0 0 0.667 -0.611 -0.491 -1.597 1925 2 6.444 2.235 0 0 6.444 2.235 7.094 3.056 1925 3 11.667 3.111 0 0 11.667 3.111 11.059 2.675 1925 4 17.222 2.420 0 0 17.222 2.420 17.499 2.869 1925 5 18.833 -0.990 0 0 18.833 -0.990 18.867 -0.783 1925 6 26.056 0.854 0 0 26.056 0.854 27.192 2.162 1925 7 NaN NaN NaN NaN NaN NaN 28.109 0.284 1925 8 NaN NaN NaN NaN NaN NaN 26.004 -0.997 1925 9 NaN NaN NaN NaN NaN NaN 22.962 0.680 1925 10 NaN NaN NaN NaN NaN NaN 11.147 -4.710 1925 11 NaN NaN NaN NaN NaN NaN 7.545 -0.546 1925 12 NaN NaN NaN NaN NaN NaN 2.818 -0.344 1926 1 NaN NaN NaN NaN NaN NaN 1.421 0.315 1926 2 NaN NaN NaN NaN NaN NaN 7.413 3.376 1926 3 7.222 -1.334 0 0 7.222 -1.334 6.392 -1.992 1926 4 11.000 -3.802 0 0 11.000 -3.802 11.179 -3.450 1926 5 18.556 -1.267 0 0 18.556 -1.267 19.011 -0.640 1926 6 24.278 -0.924 0 0 24.278 -0.924 24.650 -0.379 1926 7 NaN NaN NaN NaN NaN NaN 26.244 -1.581 1926 8 NaN NaN NaN NaN NaN NaN 26.305 -0.697 1926 9 NaN NaN NaN NaN NaN NaN 21.710 -0.572 1926 10 NaN NaN NaN NaN NaN NaN 16.956 1.099 1926 11 NaN NaN NaN NaN NaN NaN 6.963 -1.128 1926 12 NaN NaN NaN NaN NaN NaN 2.724 -0.438 1927 1 NaN NaN NaN NaN NaN NaN 1.891 0.785 1927 2 NaN NaN NaN NaN NaN NaN 6.161 2.124 1927 3 NaN NaN NaN NaN NaN NaN 7.373 -1.011 1927 4 NaN NaN NaN NaN NaN NaN 15.797 1.167 1927 5 NaN NaN NaN NaN NaN NaN 20.583 0.932 1927 6 NaN NaN NaN NaN NaN NaN 23.864 -1.166