% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33524 % Primary Name: MONITOR MILL % Record Type: TAVG % Country: United States % State: NV % Latitude: 38.71670 +/- 0.00005 % Longitude: -114.58330 +/- 0.00005 % Elevation (m): 1950.72 +/- 0.15 % # of Months: 63 % % Alternate Names: Missing Station ID - 265320 % % IDs: coop - 265320 % ghcnd - USC00265320 % ncdc - 12003402 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: d61bc68d4e47104eb89edc2b38cc3fac % Raw Data Hash: 50548bfa23a8a0fc6141a648047b1d56 % Adj Data Hash: 093b53a251e2153c2c1e4340481918f3 % % 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 1896 4 NaN NaN NaN NaN NaN NaN 3.739 -2.197 1896 5 NaN NaN NaN NaN NaN NaN 8.732 -2.581 1896 6 NaN NaN NaN NaN NaN NaN 17.782 1.306 1896 7 NaN NaN NaN NaN NaN NaN 20.845 -0.396 1896 8 NaN NaN NaN NaN NaN NaN 19.320 -0.650 1896 9 NaN NaN NaN NaN NaN NaN 14.353 -0.673 1896 10 NaN NaN NaN NaN NaN NaN 9.540 0.891 1896 11 NaN NaN NaN NaN NaN NaN 0.750 -1.140 1896 12 NaN NaN NaN NaN NaN NaN 0.491 3.058 1897 1 NaN NaN NaN NaN NaN NaN -2.255 1.121 1897 2 NaN NaN NaN NaN NaN NaN -2.705 -1.907 1897 3 NaN NaN NaN NaN NaN NaN -3.048 -4.850 1897 4 4.978 0.059 0 0 4.978 0.059 6.072 0.136 1897 5 12.192 1.894 0 0 12.192 1.894 13.693 2.379 1897 6 14.763 -0.697 0 0 14.763 -0.697 15.148 -1.328 1897 7 17.168 -3.058 1 0 NaN NaN 19.344 -1.898 1897 8 19.287 0.333 0 0 19.287 0.333 20.447 0.477 1897 9 12.975 -1.035 0 0 12.975 -1.035 14.629 -0.397 1897 10 4.777 -2.856 0 0 4.777 -2.856 6.794 -1.856 1897 11 1.675 0.802 0 0 1.675 0.802 2.965 1.076 1897 12 NaN NaN NaN NaN NaN NaN -4.622 -2.055 1898 1 -7.090 -2.699 0 0 -7.090 -2.699 -7.465 -4.089 1898 2 -0.941 0.872 0 0 -0.941 0.872 0.456 1.254 1898 3 -2.131 -2.917 0 0 -2.131 -2.917 -1.445 -3.248 1898 4 NaN NaN NaN NaN NaN NaN 8.608 2.672 1898 5 8.861 -1.436 1 0 NaN NaN 9.822 -1.492 1898 6 15.720 0.260 0 0 15.720 0.260 16.219 -0.258 1898 7 20.258 0.033 0 0 20.258 0.033 21.638 0.396 1898 8 20.732 1.778 0 0 20.732 1.778 21.046 1.075 1898 9 14.282 0.272 1 0 NaN NaN 14.877 -0.149 1898 10 7.309 -0.324 0 0 7.309 -0.324 7.049 -1.601 1898 11 -0.043 -0.916 0 0 -0.043 -0.916 0.744 -1.145 1898 12 -5.490 -1.907 0 0 -5.490 -1.907 -5.152 -2.585 1899 1 -3.029 1.363 0 0 -3.029 1.363 -2.060 1.316 1899 2 -2.370 -0.556 0 0 -2.370 -0.556 -1.364 -0.567 1899 3 2.094 1.307 0 0 2.094 1.307 1.470 -0.333 1899 4 7.780 2.860 0 0 7.780 2.860 6.638 0.702 1899 5 8.223 -2.075 1 0 NaN NaN 8.470 -2.844 1899 6 15.368 -0.092 0 0 15.368 -0.092 15.457 -1.019 1899 7 21.428 1.203 0 0 21.428 1.203 21.947 0.705 1899 8 16.677 -2.276 0 0 16.677 -2.276 17.030 -2.940 1899 9 14.938 0.929 1 0 NaN NaN 16.052 1.026 1899 10 NaN NaN NaN NaN NaN NaN 6.399 -2.251 1899 11 3.373 2.500 0 0 3.373 2.500 4.227 2.337 1899 12 -4.003 -0.420 0 0 -4.003 -0.420 -3.698 -1.131 1900 1 -0.129 4.263 0 0 -0.129 4.263 0.583 3.958 1900 2 -0.500 1.313 0 0 -0.500 1.313 0.663 1.460 1900 3 4.292 3.505 0 0 4.292 3.505 4.548 2.746 1900 4 3.698 -1.221 0 0 3.698 -1.221 4.437 -1.499 1900 5 11.974 1.677 0 0 11.974 1.677 12.483 1.170 1900 6 18.660 3.200 0 0 18.660 3.200 18.549 2.073 1900 7 19.915 -0.311 0 0 19.915 -0.311 21.117 -0.125 1900 8 16.778 -2.176 0 0 16.778 -2.176 18.056 -1.914 1900 9 9.988 -4.021 0 0 9.988 -4.021 11.880 -3.146 1900 10 NaN NaN NaN NaN NaN NaN 8.104 -0.545 1900 11 4.794 3.921 1 0 NaN NaN 3.786 1.897 1900 12 -2.678 0.905 1 0 NaN NaN -0.833 1.735 1901 1 -4.330 0.061 0 0 -4.330 0.061 -2.345 1.031 1901 2 -1.817 -0.004 1 0 NaN NaN -0.478 0.319 1901 3 0.166 -0.621 0 0 0.166 -0.621 0.769 -1.034 1901 4 3.519 -1.401 1 0 NaN NaN 5.082 -0.854 1901 5 9.965 -0.333 0 0 9.965 -0.333 12.481 1.168 1901 6 13.948 -1.512 1 0 NaN NaN 15.057 -1.419 1901 7 21.005 0.780 0 0 21.005 0.780 22.681 1.440 1901 8 NaN NaN NaN NaN NaN NaN 20.199 0.229 1901 9 NaN NaN NaN NaN NaN NaN 13.624 -1.402 1901 10 7.584 -0.050 0 0 7.584 -0.050 9.885 1.236 1901 11 NaN NaN NaN NaN NaN NaN 4.507 2.618 1901 12 NaN NaN NaN NaN NaN NaN -1.608 0.959 1902 1 -11.914 -7.522 1 0 NaN NaN -3.272 0.103 1902 2 NaN NaN NaN NaN NaN NaN 1.397 2.195 1902 3 -2.742 -3.528 1 0 NaN NaN -1.052 -2.855 1902 4 4.697 -0.223 0 0 4.697 -0.223 6.398 0.462 1902 5 10.147 -0.150 0 0 10.147 -0.150 11.385 0.072 1902 6 15.925 0.465 0 0 15.925 0.465 17.132 0.656 1902 7 17.146 -3.080 0 0 17.146 -3.080 19.304 -1.938 1902 8 17.094 -1.860 0 0 17.094 -1.860 19.119 -0.851 1902 9 13.097 -0.913 0 0 13.097 -0.913 14.766 -0.260 1902 10 7.376 -0.258 0 0 7.376 -0.258 9.099 0.449 1902 11 -0.862 -1.735 0 0 -0.862 -1.735 0.963 -0.926 1902 12 -3.250 0.333 1 0 NaN NaN -1.929 0.638 1903 1 NaN NaN NaN NaN NaN NaN -1.385 1.990 1903 2 -8.707 -6.894 0 0 -8.707 -6.894 -7.854 -7.056 1903 3 -0.229 -1.016 0 0 -0.229 -1.016 0.876 -0.927 1903 4 2.738 -2.181 0 0 2.738 -2.181 5.130 -0.806 1903 5 NaN NaN NaN NaN NaN NaN 10.196 -1.117 1903 6 NaN NaN NaN NaN NaN NaN 16.799 0.323 1903 7 NaN NaN NaN NaN NaN NaN 19.631 -1.610 1903 8 NaN NaN NaN NaN NaN NaN 20.556 0.586 1903 9 NaN NaN NaN NaN NaN NaN 14.127 -0.899 1903 10 NaN NaN NaN NaN NaN NaN 9.371 0.721 1903 11 NaN NaN NaN NaN NaN NaN 3.678 1.789 1903 12 NaN NaN NaN NaN NaN NaN -3.327 -0.760 1904 1 NaN NaN NaN NaN NaN NaN -4.157 -0.781 1904 2 NaN NaN NaN NaN NaN NaN 1.523 2.321 1904 3 NaN NaN NaN NaN NaN NaN 2.733 0.930 1904 4 NaN NaN NaN NaN NaN NaN 6.128 0.192