% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28478 % Primary Name: RUIDOSO REGIONAL % Record Type: TAVG % Country: United States % State: NM % Latitude: 33.35000 +/- 0.00050 % Longitude: -105.66700 +/- 0.00050 % Elevation (m): 2106.00 +/- 0.05 % # of Months: 69 % % IDs: gsod - 722684-99999 % usaf - 722684 % % Sources: Global Summary of the Day % % Site Hash: d7fffc50b865b704fb34e3c98bd487f2 % Raw Data Hash: 01898e9204aa89496c474ded0735296b % Adj Data Hash: 847af89add2a643b46424c13b4bf3af1 % % 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 1981 1 NaN NaN NaN NaN NaN NaN 5.104 1.117 1981 2 NaN NaN NaN NaN NaN NaN 6.954 0.873 1981 3 NaN NaN NaN NaN NaN NaN 8.646 -0.819 1981 4 NaN NaN NaN NaN NaN NaN 15.774 1.873 1981 5 NaN NaN NaN NaN NaN NaN 18.415 -0.303 1981 6 NaN NaN NaN NaN NaN NaN 25.351 1.454 1981 7 NaN NaN NaN NaN NaN NaN 25.785 0.529 1981 8 NaN NaN NaN NaN NaN NaN 23.050 -0.871 1981 9 NaN NaN NaN NaN NaN NaN 20.748 0.023 1981 10 NaN NaN NaN NaN NaN NaN 15.040 0.219 1981 11 NaN NaN NaN NaN NaN NaN 9.889 1.688 1981 12 NaN NaN NaN NaN NaN NaN 6.557 2.441 1982 1 29.246 27.198 1 0 NaN NaN 4.784 0.796 1982 2 NaN NaN NaN NaN NaN NaN 6.282 0.202 1982 3 NaN NaN NaN NaN NaN NaN 10.418 0.953 1982 4 32.246 20.285 1 0 NaN NaN 14.699 0.797 1982 5 NaN NaN NaN NaN NaN NaN 17.370 -1.348 1982 6 NaN NaN NaN NaN NaN NaN 23.908 0.011 1982 7 NaN NaN NaN NaN NaN NaN 25.789 0.533 1982 8 NaN NaN NaN NaN NaN NaN 24.810 0.889 1982 9 NaN NaN NaN NaN NaN NaN 21.372 0.646 1982 10 NaN NaN NaN NaN NaN NaN 14.008 -0.813 1982 11 NaN NaN NaN NaN NaN NaN 7.732 -0.470 1982 12 24.929 22.753 1 0 NaN NaN 3.141 -0.975 1983 1 1.924 -0.123 1 0 NaN NaN 3.745 -0.243 1983 2 3.539 -0.601 1 0 NaN NaN 6.100 0.019 1983 3 5.998 -1.527 0 0 5.998 -1.527 9.381 -0.084 1983 4 8.184 -3.777 1 0 NaN NaN 10.677 -3.224 1983 5 14.669 -2.109 0 0 14.669 -2.109 16.662 -2.056 1983 6 18.720 -3.237 0 0 18.720 -3.237 22.540 -1.358 1983 7 20.322 -2.995 0 0 20.322 -2.995 25.385 0.129 1983 8 20.231 -1.750 0 0 20.231 -1.750 24.639 0.718 1983 9 18.959 0.174 0 0 18.959 0.174 22.798 2.072 1983 10 12.523 -0.359 0 0 12.523 -0.359 15.541 0.719 1983 11 6.741 0.480 1 0 NaN NaN 9.016 0.815 1983 12 4.262 2.086 0 0 4.262 2.086 4.699 0.583 1984 1 2.191 0.143 1 0 NaN NaN 3.935 -0.052 1984 2 3.983 -0.157 1 0 NaN NaN 5.256 -0.824 1984 3 6.406 -1.119 1 0 NaN NaN 9.652 0.187 1984 4 9.260 -2.701 1 0 NaN NaN 13.457 -0.445 1984 5 16.612 -0.166 1 0 NaN NaN 20.740 2.022 1984 6 17.681 -4.277 1 0 NaN NaN 23.401 -0.497 1984 7 17.634 -5.683 1 0 NaN NaN 24.745 -0.511 1984 8 16.991 -4.990 1 0 NaN NaN 22.849 -1.072 1984 9 16.910 -1.875 0 0 16.910 -1.875 20.665 -0.061 1984 10 10.025 -2.857 0 0 10.025 -2.857 12.897 -1.925 1984 11 7.613 1.352 0 0 7.613 1.352 8.287 0.085 1984 12 6.399 4.223 0 0 6.399 4.223 4.944 0.828 1985 1 0.821 -1.226 0 0 0.821 -1.226 2.755 -1.232 1985 2 4.285 0.145 0 0 4.285 0.145 5.057 -1.023 1985 3 8.538 1.013 0 0 8.538 1.013 10.139 0.675 1985 4 13.184 1.223 0 0 13.184 1.223 15.082 1.181 1985 5 17.325 0.547 0 0 17.325 0.547 18.665 -0.053 1985 6 19.722 -2.235 0 0 19.722 -2.235 23.784 -0.113 1985 7 21.550 -1.766 0 0 21.550 -1.766 24.945 -0.312 1985 8 20.645 -1.335 0 0 20.645 -1.335 24.268 0.347 1985 9 17.422 -1.363 0 0 17.422 -1.363 20.104 -0.622 1985 10 12.763 -0.118 0 0 12.763 -0.118 14.565 -0.257 1985 11 9.417 3.155 0 0 9.417 3.155 9.621 1.420 1985 12 6.217 4.041 0 0 6.217 4.041 4.663 0.547 1986 1 6.681 4.633 0 0 6.681 4.633 6.027 2.039 1986 2 7.267 3.127 0 0 7.267 3.127 8.270 2.190 1986 3 9.887 2.362 0 0 9.887 2.362 10.910 1.445 1986 4 14.717 2.755 0 0 14.717 2.755 15.944 2.043 1986 5 15.321 -1.457 0 0 15.321 -1.457 18.139 -0.579 1986 6 18.343 -3.615 0 0 18.343 -3.615 23.134 -0.763 1986 7 19.923 -3.393 0 0 19.923 -3.393 23.774 -1.482 1986 8 19.453 -2.527 0 0 19.453 -2.527 24.026 0.105 1986 9 17.502 -1.284 0 0 17.502 -1.284 20.127 -0.598 1986 10 12.036 -0.846 0 0 12.036 -0.846 13.764 -1.058 1986 11 6.780 0.518 0 0 6.780 0.518 7.406 -0.795 1986 12 3.057 0.881 0 0 3.057 0.881 3.616 -0.500 1987 1 3.484 1.436 0 0 3.484 1.436 3.129 -0.859 1987 2 3.712 -0.428 0 0 3.712 -0.428 5.416 -0.664 1987 3 6.853 -0.672 0 0 6.853 -0.672 7.846 -1.619 1987 4 11.054 -0.908 0 0 11.054 -0.908 12.953 -0.949 1987 5 14.595 -2.183 0 0 14.595 -2.183 17.035 -1.684 1987 6 20.763 -1.194 0 0 20.763 -1.194 23.134 -0.763 1987 7 22.145 -1.171 0 0 22.145 -1.171 24.750 -0.506 1987 8 20.142 -1.839 0 0 20.142 -1.839 23.267 -0.653 1987 9 17.094 -1.691 0 0 17.094 -1.691 19.852 -0.874 1987 10 15.686 2.805 0 0 15.686 2.805 16.674 1.852 1987 11 8.030 1.768 0 0 8.030 1.768 7.857 -0.345 1987 12 1.901 -0.275 1 0 NaN NaN 2.822 -1.294 1988 1 4.028 1.980 0 0 4.028 1.980 3.272 -0.716 1988 2 7.222 3.082 0 0 7.222 3.082 6.950 0.869 1988 3 9.033 1.508 1 0 NaN NaN 9.176 -0.289 1988 4 14.743 2.782 1 0 NaN NaN 13.460 -0.442 1988 5 16.356 -0.422 1 0 NaN NaN 18.196 -0.522 1988 6 22.196 0.239 1 0 NaN NaN 23.753 -0.144 1988 7 NaN NaN NaN NaN NaN NaN 24.486 -0.771 1988 8 NaN NaN NaN NaN NaN NaN 23.115 -0.805 1988 9 NaN NaN NaN NaN NaN NaN 19.771 -0.955 1988 10 NaN NaN NaN NaN NaN NaN 16.488 1.666 1988 11 NaN NaN NaN NaN NaN NaN 9.299 1.098 1988 12 NaN NaN NaN NaN NaN NaN 3.293 -0.823 1989 1 NaN NaN NaN NaN NaN NaN 3.873 -0.115 1989 2 NaN NaN NaN NaN NaN NaN 7.261 1.181 1989 3 NaN NaN NaN NaN NaN NaN 12.022 2.557 1989 4 NaN NaN NaN NaN NaN NaN 17.038 3.136 1989 5 NaN NaN NaN NaN NaN NaN 20.236 1.518 1989 6 NaN NaN NaN NaN NaN NaN 24.666 0.769