% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31664 % Primary Name: MONERO % Record Type: TAVG % Country: United States % State: NM % Latitude: 36.88330 +/- 0.00005 % Longitude: -106.85000 +/- 0.00005 % Elevation (m): 2255.52 +/- 0.15 % # of Months: 81 % % Alternate Names: Missing Station ID - 295820 % % IDs: coop - 295820 % ghcnd - USC00295820 % ncdc - 30002513 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: f7958b962cc33de2979ee6f804121ba9 % Raw Data Hash: 52ecc7639bdb3432d9ea0a238724a9d9 % Adj Data Hash: 94edd399d6d71d529776065bdf1f5c13 % % 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 1892 1 NaN NaN NaN NaN NaN NaN -4.872 -0.981 1892 2 NaN NaN NaN NaN NaN NaN -0.114 1.105 1892 3 NaN NaN NaN NaN NaN NaN 2.236 -0.194 1892 4 NaN NaN NaN NaN NaN NaN 6.485 -0.469 1892 5 NaN NaN NaN NaN NaN NaN 10.903 -1.186 1892 6 NaN NaN NaN NaN NaN NaN 16.914 -0.559 1892 7 NaN NaN NaN NaN NaN NaN 20.864 0.095 1892 8 NaN NaN NaN NaN NaN NaN 19.394 0.009 1892 9 NaN NaN NaN NaN NaN NaN 16.917 1.571 1892 10 NaN NaN NaN NaN NaN NaN 8.287 -0.832 1892 11 NaN NaN NaN NaN NaN NaN 1.367 -0.718 1892 12 NaN NaN NaN NaN NaN NaN -4.394 -1.417 1893 1 -4.158 1.405 0 0 -4.158 1.405 -2.854 1.037 1893 2 -2.579 0.311 0 0 -2.579 0.311 -1.165 0.053 1893 3 0.054 -0.705 0 0 0.054 -0.705 1.062 -1.368 1893 4 4.259 -1.022 0 0 4.259 -1.022 6.718 -0.236 1893 5 10.241 -0.177 0 0 10.241 -0.177 11.455 -0.634 1893 6 15.670 -0.131 0 0 15.670 -0.131 18.192 0.718 1893 7 17.648 -1.449 0 0 17.648 -1.449 20.267 -0.502 1893 8 16.810 -0.903 0 0 16.810 -0.903 18.587 -0.798 1893 9 12.352 -1.323 0 0 12.352 -1.323 14.500 -0.847 1893 10 5.448 -1.999 0 0 5.448 -1.999 8.023 -1.096 1893 11 0.130 -0.284 0 0 0.130 -0.284 1.439 -0.647 1893 12 -2.375 2.273 0 0 -2.375 2.273 -1.273 1.703 1894 1 -8.459 -2.896 0 0 -8.459 -2.896 -5.246 -1.355 1894 2 -8.355 -5.464 1 0 NaN NaN -4.853 -3.635 1894 3 -0.134 -0.892 1 0 NaN NaN 2.463 0.032 1894 4 6.443 1.162 0 0 6.443 1.162 8.056 1.103 1894 5 12.276 1.859 0 0 12.276 1.859 13.503 1.414 1894 6 14.861 -0.940 0 0 14.861 -0.940 16.390 -1.083 1894 7 19.019 -0.078 0 0 19.019 -0.078 20.935 0.166 1894 8 17.389 -0.324 0 0 17.389 -0.324 19.080 -0.305 1894 9 11.630 -2.045 0 0 11.630 -2.045 14.105 -1.242 1894 10 7.115 -0.332 0 0 7.115 -0.332 9.776 0.657 1894 11 2.716 2.302 0 0 2.716 2.302 4.110 2.024 1894 12 -2.685 1.963 0 0 -2.685 1.963 -1.441 1.536 1895 1 -5.933 -0.370 0 0 -5.933 -0.370 -4.367 -0.476 1895 2 -6.349 -3.459 0 0 -6.349 -3.459 -4.167 -2.948 1895 3 0.036 -0.723 0 0 0.036 -0.723 2.395 -0.036 1895 4 6.429 1.147 0 0 6.429 1.147 7.969 1.016 1895 5 10.502 0.084 0 0 10.502 0.084 12.050 -0.039 1895 6 14.259 -1.542 0 0 14.259 -1.542 15.915 -1.558 1895 7 16.774 -2.323 0 0 16.774 -2.323 19.034 -1.735 1895 8 17.097 -0.616 0 0 17.097 -0.616 19.164 -0.221 1895 9 14.260 0.585 0 0 14.260 0.585 16.334 0.988 1895 10 6.828 -0.619 0 0 6.828 -0.619 9.042 -0.077 1895 11 -0.778 -1.191 0 0 -0.778 -1.191 0.385 -1.700 1895 12 -7.276 -2.627 0 0 -7.276 -2.627 -5.561 -2.584 1896 1 -3.029 2.534 0 0 -3.029 2.534 -1.722 2.169 1896 2 -3.084 -0.194 0 0 -3.084 -0.194 -1.385 -0.166 1896 3 2.151 1.392 0 0 2.151 1.392 2.860 0.430 1896 4 5.805 0.523 0 0 5.805 0.523 7.029 0.076 1896 5 11.992 1.575 0 0 11.992 1.575 12.260 0.170 1896 6 18.056 2.254 0 0 18.056 2.254 19.113 1.640 1896 7 18.710 -0.387 0 0 18.710 -0.387 19.945 -0.824 1896 8 18.259 0.546 0 0 18.259 0.546 19.248 -0.137 1896 9 13.685 0.011 0 0 13.685 0.011 15.189 -0.158 1896 10 6.631 -0.816 0 0 6.631 -0.816 8.584 -0.535 1896 11 -1.204 -1.617 0 0 -1.204 -1.617 1.319 -0.766 1896 12 -3.195 1.453 0 0 -3.195 1.453 -1.398 1.579 1897 1 -6.093 -0.530 0 0 -6.093 -0.530 -4.634 -0.743 1897 2 -4.960 -2.070 0 0 -4.960 -2.070 -3.238 -2.019 1897 3 -2.355 -3.113 0 0 -2.355 -3.113 0.108 -2.322 1897 4 6.644 1.362 0 0 6.644 1.362 6.871 -0.083 1897 5 12.097 1.679 0 0 12.097 1.679 12.944 0.854 1897 6 14.907 -0.894 0 0 14.907 -0.894 16.217 -1.256 1897 7 17.037 -2.060 0 0 17.037 -2.060 19.014 -1.755 1897 8 17.432 -0.281 0 0 17.432 -0.281 19.138 -0.247 1897 9 14.623 0.949 0 0 14.623 0.949 15.940 0.594 1897 10 7.263 -0.184 0 0 7.263 -0.184 8.488 -0.632 1897 11 NaN NaN NaN NaN NaN NaN 2.966 0.880 1897 12 -5.323 -0.674 0 0 -5.323 -0.674 -4.056 -1.079 1898 1 -7.079 -1.516 0 0 -7.079 -1.516 -6.608 -2.717 1898 2 -1.802 1.089 0 0 -1.802 1.089 -0.367 0.852 1898 3 -0.315 -1.073 0 0 -0.315 -1.073 0.680 -1.751 1898 4 6.950 1.669 0 0 6.950 1.669 8.644 1.690 1898 5 9.409 -1.009 0 0 9.409 -1.009 10.853 -1.236 1898 6 15.591 -0.210 0 0 15.591 -0.210 16.976 -0.497 1898 7 18.267 -0.830 0 0 18.267 -0.830 20.579 -0.190 1898 8 18.002 0.289 0 0 18.002 0.289 19.747 0.362 1898 9 12.755 -0.920 0 0 12.755 -0.920 14.868 -0.478 1898 10 5.897 -1.550 0 0 5.897 -1.550 8.228 -0.891 1898 11 -1.223 -1.637 1 0 NaN NaN 0.921 -1.164 1898 12 -8.557 -3.908 0 0 -8.557 -3.908 -7.116 -4.139 1899 1 -8.706 -3.144 0 0 -8.706 -3.144 -6.599 -2.709 1899 2 -6.657 -3.766 0 0 -6.657 -3.766 -3.932 -2.713 1899 3 1.040 0.282 0 0 1.040 0.282 2.418 -0.013 1899 4 6.613 1.332 0 0 6.613 1.332 7.907 0.954 1899 5 8.840 -1.577 0 0 8.840 -1.577 10.497 -1.593 1899 6 15.382 -0.420 0 0 15.382 -0.420 16.887 -0.586 1899 7 18.703 -0.394 0 0 18.703 -0.394 20.388 -0.381 1899 8 16.442 -1.271 1 0 NaN NaN 19.010 -0.375 1899 9 13.072 -0.603 1 0 NaN NaN 16.318 0.972 1899 10 5.705 -1.742 0 0 5.705 -1.742 8.515 -0.604 1899 11 NaN NaN NaN NaN NaN NaN 3.440 1.354 1899 12 NaN NaN NaN NaN NaN NaN -2.426 0.551 1900 1 NaN NaN NaN NaN NaN NaN -0.879 3.012 1900 2 NaN NaN NaN NaN NaN NaN -0.919 0.300 1900 3 NaN NaN NaN NaN NaN NaN 4.376 1.946 1900 4 NaN NaN NaN NaN NaN NaN 5.501 -1.452 1900 5 NaN NaN NaN NaN NaN NaN 12.857 0.768 1900 6 NaN NaN NaN NaN NaN NaN 18.104 0.631 1900 7 NaN NaN NaN NaN NaN NaN 20.773 0.004 1900 8 NaN NaN NaN NaN NaN NaN 18.451 -0.934 1900 9 NaN NaN NaN NaN NaN NaN 14.448 -0.898 1900 10 NaN NaN NaN NaN NaN NaN 8.986 -0.133