% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27949 % Primary Name: TYRONE % Record Type: TAVG % Country: United States % State: NM % Latitude: 32.63330 +/- 0.00005 % Longitude: -108.33330 +/- 0.00005 % Elevation (m): 1848.61 +/- 0.15 % # of Months: 29 % % Alternate Names: Missing Station ID - 299199 % % IDs: coop - 299199 % ghcnd - USC00299199 % ncdc - 30002543 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 5677f543603328b094b0e52327d931a8 % Raw Data Hash: fd2d37cb1134f10adc744a6cdcbf6bec % Adj Data Hash: dba364fa10c6aeb0a48864d567fdaa72 % % 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 1926 4 NaN NaN NaN NaN NaN NaN 10.216 -1.104 1926 5 NaN NaN NaN NaN NaN NaN 14.391 -1.479 1926 6 NaN NaN NaN NaN NaN NaN 20.925 -0.202 1926 7 NaN NaN NaN NaN NaN NaN 21.881 -1.324 1926 8 NaN NaN NaN NaN NaN NaN 21.382 -0.475 1926 9 NaN NaN NaN NaN NaN NaN 19.939 1.140 1926 10 NaN NaN NaN NaN NaN NaN 13.846 0.743 1926 11 NaN NaN NaN NaN NaN NaN 7.878 0.901 1926 12 NaN NaN NaN NaN NaN NaN 2.692 -0.448 1927 1 NaN NaN NaN NaN NaN NaN 5.206 2.273 1927 2 NaN NaN NaN NaN NaN NaN 6.558 1.886 1927 3 NaN NaN NaN NaN NaN NaN 6.767 -0.621 1927 4 16.857 2.487 0 0 16.857 2.487 11.319 -0.000 1927 5 19.563 0.643 0 0 19.563 0.643 16.123 0.253 1927 6 19.320 -4.858 1 0 NaN NaN 20.369 -0.758 1927 7 19.392 -6.863 1 0 NaN NaN 23.202 -0.002 1927 8 NaN NaN NaN NaN NaN NaN 20.856 -1.001 1927 9 18.660 -3.190 0 0 18.660 -3.190 18.625 -0.175 1927 10 16.334 0.181 0 0 16.334 0.181 13.049 -0.054 1927 11 15.272 5.245 1 0 NaN NaN 9.867 2.890 1927 12 8.893 2.702 1 0 NaN NaN 2.077 -1.064 1928 1 14.497 8.514 1 0 NaN NaN 3.801 0.868 1928 2 13.533 5.811 1 0 NaN NaN 4.136 -0.535 1928 3 NaN NaN NaN NaN NaN NaN 8.823 1.435 1928 4 NaN NaN NaN NaN NaN NaN 10.599 -0.720 1928 5 NaN NaN NaN NaN NaN NaN 15.504 -0.366 1928 6 NaN NaN NaN NaN NaN NaN 21.117 -0.010 1928 7 NaN NaN NaN NaN NaN NaN 23.026 -0.179 1928 8 NaN NaN NaN NaN NaN NaN 20.644 -1.213 1928 9 NaN NaN NaN NaN NaN NaN 18.627 -0.173 1928 10 14.718 -1.435 1 0 NaN NaN 14.042 0.939 1928 11 6.958 -3.069 0 2 6.958 -3.069 6.014 -0.963 1928 12 3.900 -2.291 0 0 3.900 -2.291 2.577 -0.563 1929 1 NaN NaN NaN NaN NaN NaN 2.657 -0.276 1929 2 5.187 -2.535 0 0 5.187 -2.535 2.681 -1.991 1929 3 10.181 -0.257 0 0 10.181 -0.257 6.723 -0.664 1929 4 14.707 0.337 0 0 14.707 0.337 11.316 -0.003 1929 5 18.950 0.030 0 0 18.950 0.030 15.311 -0.558 1929 6 25.693 1.516 0 0 25.693 1.516 21.963 0.836 1929 7 24.297 -1.958 0 0 24.297 -1.958 22.513 -0.691 1929 8 22.290 -2.617 0 0 22.290 -2.617 20.765 -1.092 1929 9 21.408 -0.442 0 0 21.408 -0.442 19.155 0.356 1929 10 16.495 0.342 1 0 NaN NaN 13.036 -0.067 1929 11 9.435 -0.592 0 0 9.435 -0.592 4.755 -2.222 1929 12 8.756 2.566 0 0 8.756 2.566 4.166 1.025 1930 1 5.797 -0.187 0 0 5.797 -0.187 2.180 -0.753 1930 2 10.741 3.019 0 0 10.741 3.019 6.505 1.833 1930 3 9.495 -0.943 0 0 9.495 -0.943 6.203 -1.184 1930 4 16.903 2.533 0 0 16.903 2.533 13.271 1.951 1930 5 16.631 -2.289 0 0 16.631 -2.289 13.469 -2.400 1930 6 NaN NaN NaN NaN NaN NaN 21.824 0.697 1930 7 NaN NaN NaN NaN NaN NaN 22.193 -1.011 1930 8 NaN NaN NaN NaN NaN NaN 21.270 -0.587 1930 9 NaN NaN NaN NaN NaN NaN 18.160 -0.640 1930 10 NaN NaN NaN NaN NaN NaN 12.690 -0.413 1930 11 NaN NaN NaN NaN NaN NaN 5.548 -1.429 1930 12 NaN NaN NaN NaN NaN NaN 1.626 -1.514 1931 1 NaN NaN NaN NaN NaN NaN 2.162 -0.771 1931 2 NaN NaN NaN NaN NaN NaN 4.608 -0.064 1931 3 NaN NaN NaN NaN NaN NaN 6.735 -0.652 1931 4 NaN NaN NaN NaN NaN NaN 11.179 -0.141 1931 5 NaN NaN NaN NaN NaN NaN 15.497 -0.373