% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30268 % Primary Name: MC GAFFEY RANGER STN % Record Type: TAVG % Country: United States % State: NM % Latitude: 35.36670 +/- 0.00005 % Longitude: -108.51670 +/- 0.00005 % Elevation (m): 2439.90 +/- 0.05 % # of Months: 368 % % Alternate Names: MCGAFFEY RS % Missing Station ID - 295571 % % IDs: coop - 295571 % ghcnd - USC00295571 % ncdc - 20020640 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 31f3b82b3cadb7b652f855cf4d01c122 % Raw Data Hash: d96a484ec0378572113af268a0835a97 % Adj Data Hash: 56ebfca1535bd80f201d48d2974289a2 % % 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 1910 10 NaN NaN NaN NaN NaN NaN 10.427 0.336 1910 11 NaN NaN NaN NaN NaN NaN 5.273 1.820 1910 12 NaN NaN NaN NaN NaN NaN 1.447 2.384 1911 1 NaN NaN NaN NaN NaN NaN 2.180 3.571 1911 2 NaN NaN NaN NaN NaN NaN 0.833 -0.056 1911 3 NaN NaN NaN NaN NaN NaN 6.216 2.351 1911 4 NaN NaN NaN NaN NaN NaN 8.128 0.231 1911 5 NaN NaN NaN NaN NaN NaN 12.408 -0.285 1911 6 NaN NaN NaN NaN NaN NaN 16.990 -1.011 1911 7 NaN NaN NaN NaN NaN NaN 19.119 -1.910 1911 8 NaN NaN NaN NaN NaN NaN 19.174 -0.407 1911 9 NaN NaN NaN NaN NaN NaN 17.356 1.184 1911 10 10.657 3.288 1 0 NaN NaN 9.399 -0.692 1911 11 4.527 3.796 0 0 4.778 4.046 2.231 -1.223 1911 12 -6.260 -2.601 0 0 -5.797 -2.138 -4.416 -3.478 1912 1 -3.027 1.085 0 0 -2.842 1.271 -1.488 -0.098 1912 2 -0.940 0.893 0 0 -1.226 0.606 0.544 -0.346 1912 3 0.921 -0.222 0 0 0.456 -0.687 3.538 -0.327 1912 4 3.115 -2.060 0 0 2.750 -2.425 5.499 -2.398 1912 5 8.561 -1.410 0 0 8.238 -1.733 11.780 -0.913 1912 6 13.667 -1.612 0 0 13.277 -2.002 16.881 -1.120 1912 7 15.956 -2.350 0 0 15.564 -2.743 19.394 -1.634 1912 8 15.998 -0.860 0 0 15.653 -1.206 18.325 -1.256 1912 9 10.728 -2.722 0 0 10.415 -3.036 13.832 -2.341 1912 10 7.016 -0.353 0 0 6.882 -0.486 8.748 -1.343 1912 11 2.865 2.134 1 0 NaN NaN 2.640 -0.814 1912 12 -3.738 -0.079 0 0 -3.275 0.384 -3.998 -3.060 1913 1 -4.424 -0.311 0 0 -4.238 -0.125 -3.748 -2.357 1913 2 -3.673 -1.840 0 0 -3.960 -2.127 -1.363 -2.252 1913 3 -2.283 -3.426 0 0 -2.748 -3.891 1.040 -2.825 1913 4 4.658 -0.517 0 0 4.294 -0.882 6.882 -1.016 1913 5 9.647 -0.324 0 0 9.323 -0.648 11.916 -0.777 1913 6 13.879 -1.400 0 0 13.489 -1.790 16.310 -1.691 1913 7 16.659 -1.648 0 0 16.266 -2.040 19.632 -1.397 1913 8 16.081 -0.778 0 0 15.735 -1.123 19.165 -0.416 1913 9 11.278 -2.172 0 0 10.965 -2.486 14.198 -1.975 1913 10 NaN NaN NaN NaN NaN NaN 9.228 -0.862 1913 11 NaN NaN NaN NaN NaN NaN 5.064 1.611 1913 12 NaN NaN NaN NaN NaN NaN -3.005 -2.068 1914 1 NaN NaN NaN NaN NaN NaN 0.521 1.912 1914 2 NaN NaN NaN NaN NaN NaN 1.446 0.557 1914 3 NaN NaN NaN NaN NaN NaN 4.205 0.340 1914 4 NaN NaN NaN NaN NaN NaN 8.696 0.798 1914 5 NaN NaN NaN NaN NaN NaN 12.923 0.230 1914 6 NaN NaN NaN NaN NaN NaN 17.877 -0.124 1914 7 NaN NaN NaN NaN NaN NaN 19.185 -1.844 1914 8 NaN NaN NaN NaN NaN NaN 19.114 -0.467 1914 9 NaN NaN NaN NaN NaN NaN 16.658 0.485 1914 10 NaN NaN NaN NaN NaN NaN 9.974 -0.117 1914 11 NaN NaN NaN NaN NaN NaN 5.199 1.745 1914 12 NaN NaN NaN NaN NaN NaN -1.840 -0.903 1915 1 NaN NaN NaN NaN NaN NaN -2.681 -1.290 1915 2 NaN NaN NaN NaN NaN NaN 0.029 -0.860 1915 3 NaN NaN NaN NaN NaN NaN 2.004 -1.861 1915 4 NaN NaN NaN NaN NaN 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0 0 1.571 3.404 3.535 2.645 1934 3 5.222 4.079 0 0 4.449 3.306 6.816 2.951 1934 4 7.556 2.380 0 0 6.882 1.707 9.924 2.026 1934 5 13.556 3.585 0 0 12.923 2.952 15.349 2.656 1934 6 15.444 0.166 0 0 14.745 -0.533 16.873 -1.128 1934 7 20.667 2.360 0 0 19.965 1.659 22.181 1.153 1934 8 18.722 1.864 0 0 18.068 1.209 19.987 0.407 1934 9 13.556 0.105 0 0 12.933 -0.517 15.929 -0.244 1934 10 9.611 2.242 0 0 9.169 1.800 11.558 1.467 1934 11 6.094 5.363 1 0 NaN NaN 4.361 0.908 1934 12 -1.556 2.104 0 0 -1.402 2.258 0.630 1.567 1935 1 -3.111 1.002 0 0 -3.234 0.878 0.790 2.181 1935 2 -2.111 -0.278 0 0 -2.707 -0.874 1.396 0.507 1935 3 1.056 -0.088 0 0 0.282 -0.861 3.468 -0.397 1935 4 6.167 0.991 0 0 5.493 0.318 7.917 0.020 1935 5 8.333 -1.638 0 0 7.701 -2.270 9.923 -2.770 1935 6 15.389 0.110 0 0 14.690 -0.589 18.052 0.051 1935 7 18.444 0.138 0 0 17.743 -0.563 21.058 0.029 1935 8 17.667 0.808 0 0 17.012 0.154 19.317 -0.264 1935 9 14.444 0.994 0 0 13.822 0.372 15.882 -0.291 1935 10 7.778 0.409 0 0 7.335 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17.477 -0.524 1937 7 18.222 -0.084 0 4 18.324 0.017 21.132 0.103 1937 8 NaN NaN NaN NaN NaN NaN 20.689 1.108 1937 9 NaN NaN NaN NaN NaN NaN 17.752 1.580 1937 10 NaN NaN NaN NaN NaN NaN 11.281 1.190 1937 11 2.437 1.706 1 0 NaN NaN 4.764 1.311 1937 12 0.000 3.659 0 0 -0.264 3.395 1.034 1.972 1938 1 -3.222 0.891 0 0 -3.240 0.872 -0.085 1.306 1938 2 -0.333 1.500 0 0 -0.187 1.646 1.540 0.651 1938 3 3.778 2.635 0 0 3.857 2.714 3.964 0.099 1938 4 3.667 -1.509 0 0 3.605 -1.571 8.027 0.129 1938 5 8.611 -1.360 0 0 8.549 -1.422 11.633 -1.061 1938 6 14.778 -0.501 0 0 14.825 -0.453 17.878 -0.123 1938 7 17.679 -0.628 1 0 NaN NaN 20.416 -0.613 1938 8 17.111 0.253 0 0 17.158 0.299 19.491 -0.089 1938 9 14.667 1.216 0 0 14.590 1.140 16.288 0.116 1938 10 4.389 -2.980 0 0 4.153 -3.216 10.568 0.477 1938 11 -1.667 -2.398 0 0 -2.012 -2.743 1.127 -2.327 1938 12 -2.778 0.882 0 0 -3.042 0.617 0.638 1.575 1939 1 -4.556 -0.443 0 0 -4.574 -0.461 -1.665 -0.275 1939 2 -5.583 -3.750 1 0 NaN NaN -4.192 -5.081 1939 3 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