% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28778 % Primary Name: WHITE OAKS NEAR % Record Type: TAVG % Country: United States % State: NM % Latitude: 33.75000 +/- 0.00005 % Longitude: -105.63330 +/- 0.00005 % Elevation (m): 2133.60 +/- 0.15 % # of Months: 62 % % Alternate Names: Missing Station ID - 299682 % % IDs: coop - 299682 % ghcnd - USC00299682 % ncdc - 30002544 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 9d7977e3f4c43a89c716971aa702aa62 % Raw Data Hash: 035cd1885c4c612e95a66e3026854b10 % Adj Data Hash: b493a4feca5de113250a2aaa85214a80 % % 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 1895 5 NaN NaN NaN NaN NaN NaN 16.172 -0.368 1895 6 NaN NaN NaN NaN NaN NaN 20.693 -1.041 1895 7 NaN NaN NaN NaN NaN NaN 21.819 -1.807 1895 8 NaN NaN NaN NaN NaN NaN 21.571 -0.808 1895 9 NaN NaN NaN NaN NaN NaN 19.522 0.759 1895 10 NaN NaN NaN NaN NaN NaN 11.534 -1.396 1895 11 NaN NaN NaN NaN NaN NaN 4.767 -1.715 1895 12 NaN NaN NaN NaN NaN NaN 1.175 -1.437 1896 1 NaN NaN NaN NaN NaN NaN 3.332 1.525 1896 2 NaN NaN NaN NaN NaN NaN 3.128 -0.687 1896 3 NaN NaN NaN NaN NaN NaN 6.952 -0.034 1896 4 NaN NaN NaN NaN NaN NaN 12.118 0.600 1896 5 17.401 1.083 0 0 17.401 1.083 17.907 1.367 1896 6 23.444 1.932 0 0 23.444 1.932 23.548 1.814 1896 7 21.487 -1.916 0 0 21.487 -1.916 22.490 -1.135 1896 8 21.505 -0.651 0 0 21.505 -0.651 22.576 0.197 1896 9 18.074 -0.467 0 0 18.074 -0.467 18.595 -0.169 1896 10 10.341 -2.368 0 0 10.341 -2.368 11.681 -1.249 1896 11 6.333 0.073 0 0 6.333 0.073 6.385 -0.097 1896 12 3.351 0.961 0 0 3.351 0.961 4.417 1.805 1897 1 -1.254 -2.840 0 0 -1.254 -2.840 -1.088 -2.895 1897 2 4.841 1.248 0 0 4.841 1.248 3.523 -0.292 1897 3 9.272 2.507 0 0 9.272 2.507 5.997 -0.990 1897 4 11.378 0.082 1 0 NaN NaN 11.422 -0.096 1897 5 16.147 -0.171 0 0 16.147 -0.171 16.108 -0.432 1897 6 20.741 -0.772 0 0 20.741 -0.772 21.094 -0.640 1897 7 21.237 -2.167 0 0 21.237 -2.167 22.271 -1.354 1897 8 20.789 -1.368 0 0 20.789 -1.368 21.259 -1.119 1897 9 17.648 -0.893 0 0 17.648 -0.893 18.576 -0.187 1897 10 12.025 -0.683 0 0 12.025 -0.683 12.483 -0.447 1897 11 8.000 1.740 0 0 8.000 1.740 7.425 0.943 1897 12 1.792 -0.598 0 0 1.792 -0.598 1.864 -0.749 1898 1 -1.095 -2.681 0 0 -1.095 -2.681 0.157 -1.651 1898 2 4.841 1.248 0 0 4.841 1.248 4.661 0.845 1898 3 6.165 -0.600 0 0 6.165 -0.600 6.047 -0.940 1898 4 11.981 0.686 0 0 11.981 0.686 12.186 0.669 1898 5 15.179 -1.139 0 0 15.179 -1.139 15.493 -1.046 1898 6 19.426 -2.086 0 0 19.426 -2.086 20.804 -0.931 1898 7 20.860 -2.543 0 0 20.860 -2.543 22.373 -1.253 1898 8 20.466 -1.691 0 0 20.466 -1.691 21.654 -0.724 1898 9 16.241 -2.301 0 0 16.241 -2.301 17.799 -0.964 1898 10 11.344 -1.364 0 0 11.344 -1.364 12.285 -0.645 1898 11 5.426 -0.834 0 0 5.426 -0.834 4.895 -1.587 1898 12 -1.738 -4.129 0 0 -1.738 -4.129 -1.205 -3.818 1899 1 -0.072 -1.657 0 0 -0.072 -1.657 0.391 -1.417 1899 2 1.706 -1.887 0 0 1.706 -1.887 0.536 -3.279 1899 3 7.465 0.700 0 0 7.465 0.700 7.064 0.077 1899 4 11.796 0.501 0 0 11.796 0.501 11.809 0.292 1899 5 15.341 -0.977 0 0 15.341 -0.977 15.571 -0.969 1899 6 20.352 -1.160 0 0 20.352 -1.160 21.077 -0.657 1899 7 22.133 -1.271 0 0 22.133 -1.271 22.412 -1.214 1899 8 23.226 1.069 0 0 23.226 1.069 22.998 0.619 1899 9 18.870 0.329 0 0 18.870 0.329 19.038 0.275 1899 10 12.258 -0.450 0 0 12.258 -0.450 12.526 -0.404 1899 11 6.389 0.129 0 0 6.389 0.129 7.092 0.610 1899 12 1.756 -0.634 0 0 1.756 -0.634 3.025 0.413 1900 1 3.047 1.461 0 0 3.047 1.461 3.997 2.190 1900 2 3.492 -0.101 0 0 3.492 -0.101 3.297 -0.518 1900 3 8.029 1.264 0 0 8.029 1.264 7.918 0.931 1900 4 9.679 -1.616 1 0 NaN NaN 9.808 -1.710 1900 5 17.957 1.639 0 0 17.957 1.639 16.369 -0.171 1900 6 22.444 0.932 0 0 22.444 0.932 22.228 0.494 1900 7 23.297 -0.106 0 0 23.297 -0.106 23.205 -0.420 1900 8 22.509 0.352 0 0 22.509 0.352 22.019 -0.360 1900 9 19.519 0.977 0 0 19.519 0.977 18.847 0.083 1900 10 13.530 0.822 0 0 13.530 0.822 13.460 0.530 1900 11 7.893 1.633 0 0 7.893 1.633 7.631 1.149 1900 12 2.241 -0.150 0 0 2.241 -0.150 3.001 0.389 1901 1 2.749 1.164 0 0 2.749 1.164 3.328 1.520 1901 2 -1.111 -4.704 1 0 NaN NaN 2.685 -1.130 1901 3 6.640 -0.124 0 0 6.640 -0.124 6.067 -0.919 1901 4 10.433 -0.862 0 0 10.433 -0.862 10.400 -1.117 1901 5 16.044 -0.274 0 0 16.044 -0.274 15.921 -0.619 1901 6 20.612 -0.901 0 0 20.612 -0.901 21.534 -0.201 1901 7 NaN NaN NaN NaN NaN NaN 23.396 -0.229 1901 8 NaN NaN NaN NaN NaN NaN 22.877 0.498 1901 9 NaN NaN NaN NaN NaN NaN 18.500 -0.264 1901 10 NaN NaN NaN NaN NaN NaN 13.570 0.640 1901 11 NaN NaN NaN NaN NaN NaN 8.293 1.811 1901 12 NaN NaN NaN NaN NaN NaN 3.153 0.540 1902 1 NaN NaN NaN NaN NaN NaN 2.458 0.650 1902 2 NaN NaN NaN NaN NaN NaN 4.241 0.426 1902 3 NaN NaN NaN NaN NaN NaN 5.281 -1.706 1902 4 NaN NaN NaN NaN NaN NaN 13.113 1.595 1902 5 NaN NaN NaN NaN NaN NaN 16.844 0.304 1902 6 NaN NaN NaN NaN NaN NaN 22.975 1.241