% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28584 % Primary Name: OSCURO #2 % Record Type: TAVG % Country: United States % State: NM % Latitude: 33.48330 +/- 0.00005 % Longitude: -106.05000 +/- 0.00005 % Elevation (m): 1528.88 +/- 0.15 % # of Months: 52 % % Alternate Names: Missing Station ID - 296443 % % IDs: coop - 296443 % ghcnd - USC00296443 % ncdc - 12003669 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: b7c2ece0c04ed9a879230eccbd6d005e % Raw Data Hash: f80ca2dad40dae302924369f51812fa2 % Adj Data Hash: d1da44c85726cb3179a3189b142895ba % % 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 1922 6 NaN NaN NaN NaN NaN NaN 24.345 0.448 1922 7 NaN NaN NaN NaN NaN NaN 25.342 0.086 1922 8 NaN NaN NaN NaN NaN NaN 24.817 0.896 1922 9 NaN NaN NaN NaN NaN NaN 21.416 0.690 1922 10 NaN NaN NaN NaN NaN NaN 14.776 -0.046 1922 11 NaN NaN NaN NaN NaN NaN 7.114 -1.088 1922 12 NaN NaN NaN NaN NaN NaN 6.411 2.295 1923 1 NaN NaN NaN NaN NaN NaN 6.492 2.504 1923 2 NaN NaN NaN NaN NaN NaN 5.214 -0.866 1923 3 NaN NaN NaN NaN NaN NaN 7.435 -2.030 1923 4 NaN NaN NaN NaN NaN NaN 13.732 -0.169 1923 5 NaN NaN NaN NaN NaN NaN 18.559 -0.159 1923 6 27.069 1.866 1 0 NaN NaN 24.006 0.108 1923 7 26.637 0.075 0 0 26.637 0.075 24.906 -0.350 1923 8 24.509 -0.716 0 0 24.509 -0.716 22.823 -1.098 1923 9 21.334 -0.697 0 0 21.334 -0.697 19.654 -1.071 1923 10 15.554 -0.573 0 0 15.554 -0.573 13.634 -1.187 1923 11 8.082 -1.424 0 0 8.082 -1.424 7.663 -0.539 1923 12 4.844 -0.577 0 0 4.844 -0.577 3.147 -0.969 1924 1 3.943 -1.350 0 0 3.943 -1.350 2.786 -1.202 1924 2 8.183 0.798 0 0 8.183 0.798 6.080 -0.000 1924 3 9.133 -1.637 0 0 9.133 -1.637 7.208 -2.257 1924 4 14.396 -0.810 0 0 14.396 -0.810 12.826 -1.075 1924 5 20.387 0.364 0 0 20.387 0.364 18.179 -0.539 1924 6 27.912 2.709 0 0 27.912 2.709 25.878 1.980 1924 7 26.498 -0.063 0 0 26.498 -0.063 24.683 -0.573 1924 8 26.850 1.624 0 0 26.850 1.624 24.947 1.027 1924 9 22.835 0.804 0 0 22.835 0.804 20.842 0.117 1924 10 17.509 1.383 0 0 17.509 1.383 15.499 0.677 1924 11 12.167 2.661 0 0 12.167 2.661 10.302 2.101 1924 12 4.300 -1.121 0 0 4.300 -1.121 3.175 -0.941 1925 1 3.552 -1.741 0 0 3.552 -1.741 2.417 -1.570 1925 2 8.988 1.603 0 0 8.988 1.603 7.849 1.768 1925 3 12.031 1.262 0 0 12.031 1.262 11.377 1.912 1925 4 17.623 2.417 0 0 17.623 2.417 15.827 1.926 1925 5 21.413 1.390 0 0 21.413 1.390 19.242 0.524 1925 6 24.819 -0.383 0 0 24.819 -0.383 23.612 -0.285 1925 7 26.374 -0.187 0 0 26.374 -0.187 25.012 -0.244 1925 8 24.369 -0.856 0 0 24.369 -0.856 22.479 -1.442 1925 9 22.962 0.931 0 0 22.962 0.931 20.936 0.211 1925 10 15.341 -0.786 0 0 15.341 -0.786 14.721 -0.100 1925 11 8.071 -1.435 0 0 8.071 -1.435 7.305 -0.897 1925 12 3.215 -2.206 0 0 3.215 -2.206 2.516 -1.600 1926 1 1.342 -3.950 0 0 1.342 -3.950 1.275 -2.713 1926 2 8.175 0.790 0 0 8.175 0.790 7.119 1.038 1926 3 9.365 -1.405 0 0 9.365 -1.405 8.216 -1.249 1926 4 10.720 -4.486 0 0 10.720 -4.486 12.598 -1.304 1926 5 16.379 -3.644 0 0 16.379 -3.644 17.009 -1.709 1926 6 24.902 -0.300 0 0 24.902 -0.300 23.663 -0.234 1926 7 25.167 -1.395 0 0 25.167 -1.395 23.875 -1.381 1926 8 25.279 0.053 0 0 25.279 0.053 23.482 -0.439 1926 9 NaN NaN NaN NaN NaN NaN 21.686 0.960 1926 10 16.223 0.096 0 0 16.223 0.096 15.393 0.572 1926 11 9.021 -0.485 0 0 9.021 -0.485 8.604 0.402 1926 12 4.241 -1.180 0 0 4.241 -1.180 3.967 -0.149 1927 1 7.296 2.003 0 0 7.296 2.003 6.477 2.489 1927 2 8.098 0.713 0 0 8.098 0.713 8.083 2.003 1927 3 9.363 -1.407 0 0 9.363 -1.407 9.115 -0.350 1927 4 17.123 1.917 0 0 17.123 1.917 14.107 0.206 1927 5 21.306 1.283 0 0 21.306 1.283 19.145 0.427 1927 6 24.792 -0.410 0 0 24.792 -0.410 22.826 -1.072 1927 7 27.233 0.672 0 0 27.233 0.672 24.946 -0.310 1927 8 24.900 -0.326 0 0 24.900 -0.326 23.041 -0.880 1927 9 21.387 -0.644 0 0 21.387 -0.644 20.422 -0.303 1927 10 17.867 1.740 1 0 NaN NaN 14.792 -0.030 1927 11 NaN NaN NaN NaN NaN NaN 11.591 3.390 1927 12 NaN NaN NaN NaN NaN NaN 2.752 -1.365 1928 1 NaN NaN NaN NaN NaN NaN 4.737 0.750 1928 2 NaN NaN NaN NaN NaN NaN 4.878 -1.202 1928 3 NaN NaN NaN NaN NaN NaN 10.934 1.469 1928 4 NaN NaN NaN NaN NaN NaN 12.878 -1.023 1928 5 NaN NaN NaN NaN NaN NaN 17.874 -0.844 1928 6 NaN NaN NaN NaN NaN NaN 23.852 -0.046 1928 7 NaN NaN NaN NaN NaN NaN 25.017 -0.239 1928 8 NaN NaN NaN NaN NaN NaN 22.211 -1.710 1928 9 NaN NaN NaN NaN NaN NaN 19.805 -0.921 1928 10 NaN NaN NaN NaN NaN NaN 15.972 1.150