% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31617 % Primary Name: BUFFALO 1SW MESONET % Record Type: TAVG % Country: United States % State: OK % Latitude: 36.83140 +/- 0.00005 % Longitude: -99.64110 +/- 0.00005 % Elevation (m): 559.00 +/- 0.15 % # of Months: 55 % % Alternate Names: Missing Station ID - 341240 % % IDs: coop - 341240 % ghcnd - USC00341240 % ncdc - 30014951 % nws - BFSO2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: f669eac2e8c31374b634c0f23f996794 % Raw Data Hash: f7641f9bc7f4bb69529a31ab7f7f2665 % Adj Data Hash: 06cc8dbc31e3930e796dc692889b2613 % % 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 2008 2 NaN NaN NaN NaN NaN NaN 3.875 -0.162 2008 3 NaN NaN NaN NaN NaN NaN 8.801 0.417 2008 4 NaN NaN NaN NaN NaN NaN 13.690 -0.940 2008 5 NaN NaN NaN NaN NaN NaN 20.002 0.351 2008 6 NaN NaN NaN NaN NaN NaN 26.233 1.204 2008 7 NaN NaN NaN NaN NaN NaN 27.882 0.057 2008 8 NaN NaN NaN NaN NaN NaN 26.255 -0.747 2008 9 NaN NaN NaN NaN NaN NaN 20.834 -1.448 2008 10 NaN NaN NaN NaN NaN NaN 15.533 -0.323 2008 11 NaN NaN NaN NaN NaN NaN 9.443 1.352 2008 12 NaN NaN NaN NaN NaN NaN 2.991 -0.171 2009 1 NaN NaN NaN NaN NaN NaN 2.039 0.933 2009 2 6.000 2.252 0 0 6.154 2.405 7.395 3.358 2009 3 8.444 0.349 0 0 8.598 0.503 9.503 1.119 2009 4 13.222 -1.119 0 0 13.376 -0.965 14.292 -0.338 2009 5 18.278 -1.084 0 0 18.432 -0.930 18.218 -1.433 2009 6 26.167 1.426 0 0 26.321 1.580 26.445 1.416 2009 7 28.056 0.519 0 0 28.209 0.673 27.862 0.037 2009 8 26.611 -0.101 0 0 26.765 0.053 26.538 -0.464 2009 9 20.500 -1.493 0 0 20.654 -1.340 20.829 -1.453 2009 10 11.278 -4.290 0 0 11.432 -4.136 12.095 -3.762 2009 11 10.444 2.643 0 0 10.598 2.796 10.894 2.803 2009 12 -0.500 -3.373 0 0 -0.346 -3.219 0.701 -2.461 2010 1 -0.056 -0.873 0 0 0.098 -0.719 0.349 -0.758 2010 2 1.000 -2.748 0 0 1.154 -2.595 1.264 -2.774 2010 3 8.167 0.072 0 0 8.321 0.225 8.067 -0.317 2010 4 15.722 1.381 0 0 15.876 1.535 15.981 1.352 2010 5 18.944 -0.417 0 0 19.098 -0.264 19.200 -0.451 2010 6 27.444 2.704 0 0 27.598 2.858 27.700 2.670 2010 7 28.500 0.964 0 0 28.654 1.118 27.778 -0.047 2010 8 28.778 2.065 0 0 28.932 2.219 28.474 1.473 2010 9 24.056 2.062 0 0 24.209 2.216 24.136 1.854 2010 10 16.833 1.266 0 0 16.987 1.420 17.396 1.540 2010 11 7.611 -0.191 0 0 7.765 -0.037 8.547 0.456 2010 12 2.167 -0.706 0 0 2.321 -0.553 3.503 0.341 2011 1 0.056 -0.762 0 0 0.209 -0.608 0.623 -0.483 2011 2 1.667 -2.082 0 0 1.821 -1.928 2.709 -1.329 2011 3 9.500 1.405 0 0 9.654 1.559 9.618 1.234 2011 4 15.167 0.826 0 1 15.024 0.683 16.148 1.518 2011 5 19.722 0.360 0 0 19.579 0.218 19.957 0.307 2011 6 29.389 4.648 0 0 29.246 4.505 29.676 4.646 2011 7 32.556 5.019 0 0 32.413 4.876 32.267 4.442 2011 8 30.722 4.010 0 0 30.579 3.867 30.929 3.928 2011 9 21.889 -0.105 0 0 21.746 -0.247 21.810 -0.472 2011 10 15.889 0.322 0 0 15.746 0.179 16.482 0.626 2011 11 8.000 0.198 0 0 7.857 0.055 8.454 0.363 2011 12 2.424 -0.449 0 0 2.281 -0.592 3.362 0.200 2012 1 4.408 3.591 0 0 4.265 3.448 4.657 3.551 2012 2 NaN NaN NaN NaN NaN NaN 4.810 0.773 2012 3 14.639 6.544 0 0 14.496 6.401 13.968 5.584 2012 4 16.673 2.333 0 0 16.530 2.190 17.489 2.860 2012 5 23.132 3.770 0 0 22.989 3.628 22.428 2.777 2012 6 27.710 2.969 0 0 27.567 2.826 27.156 2.126 2012 7 30.840 3.304 0 0 30.697 3.161 30.614 2.789 2012 8 26.653 -0.059 0 0 26.510 -0.202 27.219 0.218 2012 9 22.923 0.930 0 0 22.780 0.787 22.878 0.596 2012 10 14.752 -0.816 0 0 14.609 -0.959 15.357 -0.499 2012 11 9.996 2.194 1 0 NaN NaN 11.016 2.925 2012 12 3.285 0.412 0 0 3.143 0.269 4.401 1.239 2013 1 2.911 2.094 0 0 2.768 1.951 2.925 1.819 2013 2 2.252 -1.497 0 0 2.109 -1.639 3.106 -0.931 2013 3 7.635 -0.460 0 0 7.493 -0.602 7.465 -0.919 2013 4 11.093 -3.247 0 0 10.950 -3.390 11.529 -3.100 2013 5 19.821 0.459 0 0 19.678 0.316 19.421 -0.230 2013 6 26.667 1.926 0 0 26.524 1.783 26.481 1.451 2013 7 27.673 0.136 0 0 27.530 -0.007 27.138 -0.687 2013 8 26.840 0.128 0 0 26.697 -0.015 26.962 -0.039 2013 9 24.183 2.190 0 0 24.040 2.047 23.944 1.662 2013 10 NaN NaN NaN NaN NaN NaN 15.680 -0.177