% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30086 % Primary Name: DIENER % Record Type: TAVG % Country: United States % State: NM % Latitude: 35.18330 +/- 0.00005 % Longitude: -108.13330 +/- 0.00005 % Elevation (m): 2438.40 +/- 0.15 % # of Months: 57 % % Alternate Names: Missing Station ID - 292485 % % IDs: coop - 292485 % ghcnd - USC00292485 % ncdc - 30002480 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 6e8bce5407c89c8f485f35abfb1fd881 % Raw Data Hash: f45939c4a601ec602e51ccec3ec0a5db % Adj Data Hash: a762071dc70213ce169b521c62c25af0 % % 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 1920 5 NaN NaN NaN NaN NaN NaN 12.322 -0.371 1920 6 NaN NaN NaN NaN NaN NaN 16.875 -1.125 1920 7 NaN NaN NaN NaN NaN NaN 20.609 -0.420 1920 8 NaN NaN NaN NaN NaN NaN 18.274 -1.307 1920 9 NaN NaN NaN NaN NaN NaN 15.868 -0.305 1920 10 NaN NaN NaN NaN NaN NaN 8.958 -1.133 1920 11 NaN NaN NaN NaN NaN NaN 3.969 0.515 1920 12 NaN NaN NaN NaN NaN NaN -1.620 -0.683 1921 1 NaN NaN NaN NaN NaN NaN 0.890 2.281 1921 2 NaN NaN NaN NaN NaN NaN 1.376 0.487 1921 3 NaN NaN NaN NaN NaN NaN 6.053 2.187 1921 4 NaN NaN NaN NaN NaN NaN 6.731 -1.167 1921 5 10.173 0.927 1 0 NaN NaN 11.466 -1.228 1921 6 13.455 -1.099 0 0 13.455 -1.099 17.334 -0.667 1921 7 15.377 -2.204 0 0 15.377 -2.204 20.157 -0.872 1921 8 13.744 -2.390 1 0 NaN NaN 18.508 -1.073 1921 9 12.550 -0.176 0 0 12.550 -0.176 16.893 0.720 1921 10 8.787 2.143 0 0 8.787 2.143 11.781 1.690 1921 11 1.513 1.507 0 0 1.513 1.507 4.692 1.238 1921 12 -0.795 3.589 0 0 -0.795 3.589 2.080 3.018 1922 1 -5.515 -0.677 0 0 -5.515 -0.677 -2.276 -0.885 1922 2 -3.670 -1.112 1 0 NaN NaN 0.376 -0.513 1922 3 -1.189 -1.607 0 0 -1.189 -1.607 2.271 -1.594 1922 4 2.822 -1.629 0 0 2.822 -1.629 5.983 -1.914 1922 5 8.637 -0.609 0 0 8.637 -0.609 12.168 -0.525 1922 6 14.728 0.174 0 0 14.728 0.174 18.978 0.977 1922 7 17.476 -0.106 0 0 17.476 -0.106 21.895 0.867 1922 8 16.889 0.755 0 0 16.889 0.755 20.561 0.981 1922 9 13.902 1.176 0 0 13.902 1.176 17.345 1.172 1922 10 NaN NaN NaN NaN NaN NaN 10.332 0.242 1922 11 -0.307 -0.314 0 0 -0.307 -0.314 2.228 -1.225 1922 12 -3.903 0.481 0 0 -3.903 0.481 1.644 2.581 1923 1 NaN NaN NaN NaN NaN NaN 1.297 2.688 1923 2 NaN NaN NaN NaN NaN NaN 0.331 -0.558 1923 3 NaN NaN NaN NaN NaN NaN 2.215 -1.650 1923 4 4.995 0.545 0 0 4.995 0.545 7.801 -0.096 1923 5 8.516 -0.730 0 0 8.516 -0.730 12.932 0.239 1923 6 13.275 -1.279 0 0 13.275 -1.279 16.904 -1.097 1923 7 16.771 -0.811 0 0 16.771 -0.811 20.911 -0.118 1923 8 14.418 -1.716 0 0 14.418 -1.716 18.120 -1.460 1923 9 11.575 -1.151 0 0 11.575 -1.151 14.756 -1.417 1923 10 4.660 -1.984 0 0 4.660 -1.984 8.401 -1.690 1923 11 0.270 0.263 0 0 0.270 0.263 3.683 0.229 1923 12 -3.881 0.504 0 0 -3.881 0.504 -1.410 -0.472 1924 1 NaN NaN NaN NaN NaN NaN -2.737 -1.346 1924 2 NaN NaN NaN NaN NaN NaN 1.909 1.020 1924 3 NaN NaN NaN NaN NaN NaN 1.185 -2.681 1924 4 4.312 -0.139 0 0 4.312 -0.139 6.710 -1.187 1924 5 9.106 -0.140 0 0 9.106 -0.140 12.778 0.085 1924 6 13.412 -1.142 0 0 13.412 -1.142 19.251 1.250 1924 7 14.652 -2.930 1 0 NaN NaN 20.537 -0.492 1924 8 15.024 -1.109 0 0 15.024 -1.109 19.385 -0.195 1924 9 13.057 0.331 0 0 13.057 0.331 16.288 0.116 1924 10 5.826 -0.818 0 0 5.826 -0.818 10.071 -0.020 1924 11 -0.170 -0.177 0 0 -0.170 -0.177 4.302 0.849 1924 12 -5.070 -0.686 1 0 NaN NaN -2.907 -1.970 1925 1 NaN NaN NaN NaN NaN NaN -4.162 -2.772 1925 2 NaN NaN NaN NaN NaN NaN 2.741 1.852 1925 3 NaN NaN NaN NaN NaN NaN 5.087 1.221 1925 4 5.615 1.165 0 0 5.615 1.165 9.457 1.560 1925 5 8.395 -0.851 0 0 8.395 -0.851 14.490 1.797 1925 6 11.500 -3.054 0 0 11.500 -3.054 17.955 -0.045 1925 7 14.679 -2.903 1 0 NaN NaN 21.508 0.480 1925 8 11.834 -4.300 1 0 NaN NaN 18.516 -1.064 1925 9 12.108 -0.617 0 0 12.108 -0.617 15.689 -0.484 1925 10 8.060 1.416 0 0 8.060 1.416 10.599 0.508 1925 11 0.995 0.988 0 0 0.995 0.988 3.177 -0.276 1925 12 -2.429 1.955 0 0 -2.429 1.955 -0.688 0.249 1926 1 NaN NaN NaN NaN NaN NaN -2.908 -1.517 1926 2 NaN NaN NaN NaN NaN NaN 2.417 1.528 1926 3 NaN NaN NaN NaN NaN NaN 3.591 -0.274 1926 4 NaN NaN NaN NaN NaN NaN 7.704 -0.194 1926 5 12.016 2.770 0 0 12.016 2.770 11.704 -0.989 1926 6 13.667 -0.887 0 0 13.667 -0.887 17.459 -0.542 1926 7 15.702 -1.880 0 0 15.702 -1.880 19.768 -1.261 1926 8 15.658 -0.476 0 0 15.658 -0.476 19.375 -0.205 1926 9 14.102 1.376 0 0 14.102 1.376 16.889 0.716 1926 10 10.118 3.474 0 0 10.118 3.474 11.338 1.247 1926 11 3.328 3.322 0 0 3.328 3.322 4.838 1.385 1926 12 -2.145 2.239 0 0 -2.145 2.239 -2.170 -1.232 1927 1 NaN NaN NaN NaN NaN NaN 1.588 2.979 1927 2 NaN NaN NaN NaN NaN NaN 3.566 2.677 1927 3 NaN NaN NaN NaN NaN NaN 3.353 -0.513 1927 4 NaN NaN NaN NaN NaN NaN 8.071 0.174 1927 5 10.918 1.672 0 0 10.918 1.672 12.797 0.103 1927 6 14.403 -0.151 0 0 14.403 -0.151 17.120 -0.881 1927 7 15.574 -2.007 0 0 15.574 -2.007 21.107 0.079 1927 8 NaN NaN NaN NaN NaN NaN 18.529 -1.052 1927 9 NaN NaN NaN NaN NaN NaN 15.983 -0.190 1927 10 NaN NaN NaN NaN NaN NaN 10.351 0.261 1927 11 NaN NaN NaN NaN NaN NaN 6.086 2.632 1927 12 NaN NaN NaN NaN NaN NaN -2.139 -1.201 1928 1 NaN NaN NaN NaN NaN NaN -0.153 1.238 1928 2 NaN NaN NaN NaN NaN NaN 0.287 -0.602 1928 3 NaN NaN NaN NaN NaN NaN 5.123 1.257 1928 4 NaN NaN NaN NaN NaN NaN 7.330 -0.568 1928 5 NaN NaN NaN NaN NaN NaN 13.141 0.448 1928 6 NaN NaN NaN NaN NaN NaN 17.481 -0.519 1928 7 NaN NaN NaN NaN NaN NaN 20.946 -0.083