% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31452 % Primary Name: DORSEY % Record Type: TAVG % Country: United States % State: NM % Latitude: 36.65000 +/- 0.00500 % Longitude: -104.45000 +/- 0.00500 % Elevation (m): 1889.76 +/- 0.15 % # of Months: 86 % % Alternate Names: Missing Station ID - 292590 % % IDs: coop - 292590 % ghcnd - USC00292590 % ncdc - 30002481 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 0d2518eacd96a0adba2bc9aaf268936f % Raw Data Hash: b6aac95dee0e0101f65c2751266acb90 % Adj Data Hash: feb7e16e6b55e681795f902c10f56c42 % % 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 1901 7 NaN NaN NaN NaN NaN NaN 19.042 0.321 1901 8 NaN NaN NaN NaN NaN NaN 18.040 0.501 1901 9 NaN NaN NaN NaN NaN NaN 13.781 -0.391 1901 10 NaN NaN NaN NaN NaN NaN 9.434 0.637 1901 11 NaN NaN NaN NaN NaN NaN 4.011 1.537 1901 12 NaN NaN NaN NaN NaN NaN -0.978 0.362 1902 1 NaN NaN NaN NaN NaN NaN -1.893 0.440 1902 2 NaN NaN NaN NaN NaN NaN 0.090 0.638 1902 3 NaN NaN NaN NaN NaN NaN 0.107 -2.137 1902 4 NaN NaN NaN NaN NaN NaN 8.229 1.758 1902 5 NaN NaN NaN NaN NaN NaN 11.842 0.432 1902 6 NaN NaN NaN NaN NaN NaN 17.716 1.333 1902 7 19.868 -1.384 0 0 19.905 -1.346 17.332 -1.389 1902 8 20.416 0.346 0 0 20.453 0.383 17.771 0.232 1902 9 15.212 -1.491 0 0 15.249 -1.454 13.429 -0.743 1902 10 11.094 -0.235 0 0 11.131 -0.198 9.001 0.203 1902 11 4.595 -0.411 0 0 4.632 -0.374 2.577 0.103 1902 12 0.338 -0.852 0 0 0.376 -0.815 -1.885 -0.544 1903 1 -0.396 -0.594 0 0 -0.359 -0.557 -2.438 -0.105 1903 2 -4.596 -6.580 0 0 -4.559 -6.542 -5.876 -5.328 1903 3 4.423 -0.353 0 0 4.460 -0.315 1.403 -0.841 1903 4 8.732 -0.271 0 0 8.769 -0.233 6.336 -0.135 1903 5 11.845 -2.096 0 0 11.882 -2.059 9.843 -1.567 1903 6 15.660 -3.255 0 0 15.697 -3.217 13.567 -2.816 1903 7 20.405 -0.847 0 0 20.442 -0.809 18.324 -0.397 1903 8 20.494 0.423 0 0 20.531 0.460 17.736 0.197 1903 9 16.386 -0.316 0 0 16.424 -0.279 13.223 -0.949 1903 10 10.332 -0.997 0 0 10.369 -0.960 8.505 -0.293 1903 11 5.548 0.542 0 0 5.585 0.579 3.873 1.398 1903 12 0.997 -0.194 0 0 1.034 -0.157 -1.603 -0.262 1904 1 -1.692 -1.890 0 0 -1.655 -1.853 -4.067 -1.734 1904 2 4.908 2.925 0 0 4.946 2.962 2.035 2.583 1904 3 7.284 2.509 0 0 7.321 2.546 4.031 1.787 1904 4 9.064 0.062 0 0 9.102 0.099 7.016 0.545 1904 5 13.360 -0.582 0 0 13.397 -0.544 11.195 -0.215 1904 6 17.024 -1.891 0 0 17.061 -1.853 14.683 -1.700 1904 7 20.563 -0.689 0 0 20.600 -0.651 17.800 -0.920 1904 8 19.923 -0.148 0 0 19.960 -0.110 16.966 -0.573 1904 9 17.250 0.547 0 0 17.287 0.584 14.258 0.086 1904 10 10.489 -0.840 0 0 10.526 -0.803 8.210 -0.588 1904 11 6.065 1.059 0 0 6.102 1.096 3.346 0.871 1904 12 1.234 0.043 0 0 1.271 0.080 -1.713 -0.372 1905 1 -0.877 -1.075 0 0 -0.840 -1.038 -2.817 -0.483 1905 2 -2.078 -4.062 0 0 -2.041 -4.024 -2.739 -2.191 1905 3 6.345 1.570 0 0 6.383 1.607 3.778 1.534 1905 4 7.277 -1.726 0 0 7.314 -1.688 5.239 -1.232 1905 5 13.232 -0.709 0 0 13.270 -0.672 10.574 -0.836 1905 6 19.805 0.890 0 0 19.842 0.928 16.527 0.144 1905 7 19.608 -1.644 0 0 19.645 -1.606 16.999 -1.721 1905 8 20.744 0.673 0 0 20.781 0.710 17.668 0.129 1905 9 16.687 -0.016 0 0 16.724 0.021 14.292 0.121 1905 10 9.327 -2.002 0 0 9.364 -1.964 7.934 -0.863 1905 11 4.808 -0.198 0 0 4.845 -0.161 3.047 0.572 1905 12 -1.700 -2.891 0 0 -1.663 -2.853 -3.825 -2.485 1906 1 1.401 1.203 0 0 1.439 1.241 -2.048 0.285 1906 2 1.961 -0.022 0 0 1.998 0.015 0.034 0.582 1906 3 3.100 -1.675 0 0 3.137 -1.638 2.092 -0.152 1906 4 8.158 -0.844 0 0 8.196 -0.807 6.526 0.055 1906 5 14.397 0.455 0 0 14.434 0.493 10.853 -0.557 1906 6 20.583 1.668 0 0 20.620 1.706 16.117 -0.266 1906 7 19.945 -1.307 0 1 19.894 -1.358 16.406 -2.314 1906 8 19.987 -0.083 0 0 19.936 -0.134 16.491 -1.048 1906 9 16.322 -0.381 0 0 16.271 -0.432 13.547 -0.625 1906 10 9.729 -1.600 0 0 9.677 -1.651 7.584 -1.214 1906 11 NaN NaN NaN NaN NaN NaN 1.661 -0.814 1906 12 NaN NaN NaN NaN NaN NaN 1.848 3.188 1907 1 NaN NaN NaN NaN NaN NaN 0.268 2.601 1907 2 NaN NaN NaN NaN NaN NaN 3.336 3.884 1907 3 9.212 4.437 0 0 9.161 4.386 5.490 3.246 1907 4 8.862 -0.141 0 0 8.811 -0.192 6.556 0.085 1907 5 10.945 -2.996 0 0 10.894 -3.047 7.942 -3.468 1907 6 17.152 -1.763 0 0 17.100 -1.814 14.149 -2.235 1907 7 20.704 -0.547 0 0 20.653 -0.599 18.090 -0.630 1907 8 19.963 -0.107 0 0 19.912 -0.158 17.146 -0.393 1907 9 16.997 0.294 0 0 16.946 0.243 13.887 -0.285 1907 10 11.181 -0.148 0 0 11.129 -0.199 9.288 0.491 1907 11 NaN NaN NaN NaN NaN NaN 1.498 -0.977 1907 12 NaN NaN NaN NaN NaN NaN -0.535 0.805 1908 1 -0.917 -1.116 0 0 -0.969 -1.167 -1.681 0.652 1908 2 0.598 -1.385 0 0 0.547 -1.436 -0.899 -0.351 1908 3 7.142 2.366 0 0 7.090 2.315 4.289 2.045 1908 4 8.927 -0.076 0 0 8.875 -0.127 6.630 0.159 1908 5 NaN NaN NaN NaN NaN NaN 9.290 -2.120 1908 6 18.875 -0.040 0 0 18.824 -0.091 15.604 -0.780 1908 7 20.071 -1.181 0 0 20.020 -1.232 17.437 -1.283 1908 8 19.990 -0.080 0 0 19.939 -0.131 16.676 -0.863 1908 9 16.523 -0.180 0 0 16.472 -0.231 13.883 -0.289 1908 10 9.485 -1.844 0 0 9.434 -1.895 7.152 -1.645 1908 11 3.047 -1.959 0 0 2.996 -2.011 0.790 -1.685 1908 12 1.153 -0.038 0 0 1.102 -0.089 -1.073 0.267 1909 1 3.980 3.782 0 0 3.929 3.731 1.473 3.806 1909 2 NaN NaN NaN NaN NaN NaN -0.948 -0.400 1909 3 1.588 -3.187 1 0 NaN NaN 0.662 -1.582 1909 4 9.086 0.083 0 0 9.034 0.032 5.511 -0.960 1909 5 13.510 -0.432 0 0 13.459 -0.483 9.110 -2.300 1909 6 19.165 0.250 1 0 NaN NaN 16.563 0.179 1909 7 22.181 0.929 0 0 22.130 0.878 19.406 0.685 1909 8 NaN NaN NaN NaN NaN NaN 17.880 0.341 1909 9 NaN NaN NaN NaN NaN NaN 13.367 -0.804 1909 10 NaN NaN NaN NaN NaN NaN 8.801 0.004 1909 11 NaN NaN NaN NaN NaN NaN 4.425 1.950 1909 12 NaN NaN NaN NaN NaN NaN -5.237 -3.897 1910 1 NaN NaN NaN NaN NaN NaN -1.298 1.035 1910 2 4.675 2.692 1 0 NaN NaN -2.381 -1.833 1910 3 8.873 4.097 0 0 8.821 4.046 5.663 3.419 1910 4 9.832 0.829 0 0 9.781 0.778 7.082 0.611 1910 5 14.068 0.126 0 0 14.017 0.075 11.402 -0.008 1910 6 20.435 1.520 0 0 20.384 1.469 16.959 0.576 1910 7 NaN NaN NaN NaN NaN NaN 19.452 0.731 1910 8 NaN NaN NaN NaN NaN NaN 17.826 0.287 1910 9 18.696 1.994 0 0 18.645 1.942 15.423 1.251 1910 10 11.226 -0.103 0 0 11.175 -0.154 8.980 0.182 1910 11 7.041 2.035 0 0 6.990 1.984 4.378 1.903 1910 12 1.430 0.240 0 0 1.379 0.189 -0.151 1.190 1911 1 NaN NaN NaN NaN NaN NaN 1.348 3.681 1911 2 NaN NaN NaN NaN NaN NaN -1.902 -1.354 1911 3 NaN NaN NaN NaN NaN NaN 3.860 1.616 1911 4 NaN NaN NaN NaN NaN NaN 6.993 0.522 1911 5 NaN NaN NaN NaN NaN NaN 11.625 0.215 1911 6 NaN NaN NaN NaN NaN NaN 16.356 -0.027 1911 7 NaN NaN NaN NaN NaN NaN 17.363 -1.357 1911 8 NaN NaN NaN NaN NaN NaN 17.346 -0.193 1911 9 NaN NaN NaN NaN NaN NaN 15.780 1.608 1911 10 NaN NaN NaN NaN NaN NaN 7.553 -1.245 1911 11 NaN NaN NaN NaN NaN NaN 0.312 -2.163 1911 12 NaN NaN NaN NaN NaN NaN -5.849 -4.508