% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27678 % Primary Name: DEMING NEAR % Record Type: TAVG % Country: United States % State: NM % Latitude: 32.25000 +/- 0.00005 % Longitude: -107.78330 +/- 0.00005 % Elevation (m): 1322.83 +/- 0.15 % # of Months: 56 % % Alternate Names: Missing Station ID - 292442 % % IDs: coop - 292442 % ghcnd - USC00292442 % ncdc - 30002478 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 1fa3a3458a046111e6cbe78e4b1c2cf9 % Raw Data Hash: 30b9a28ac26badf62cbabe28972c26e4 % Adj Data Hash: 7404ec1e7072d86be728b0c035dbfc93 % % 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 1917 8 NaN NaN NaN NaN NaN NaN 21.387 -0.469 1917 9 NaN NaN NaN NaN NaN NaN 18.855 0.055 1917 10 NaN NaN NaN NaN NaN NaN 13.515 0.412 1917 11 NaN NaN NaN NaN NaN NaN 8.333 1.356 1917 12 NaN NaN NaN NaN NaN NaN 5.835 2.694 1918 1 NaN NaN NaN NaN NaN NaN 1.727 -1.206 1918 2 NaN NaN NaN NaN NaN NaN 5.988 1.316 1918 3 NaN NaN NaN NaN NaN NaN 8.518 1.130 1918 4 NaN NaN NaN NaN NaN NaN 11.060 -0.260 1918 5 NaN NaN NaN NaN NaN NaN 13.678 -2.192 1918 6 NaN NaN NaN NaN NaN NaN 22.447 1.320 1918 7 NaN NaN NaN NaN NaN NaN 22.474 -0.730 1918 8 25.418 0.774 0 0 25.418 0.774 21.036 -0.820 1918 9 22.358 0.771 0 0 22.358 0.771 19.315 0.516 1918 10 17.256 1.366 0 0 17.256 1.366 13.652 0.549 1918 11 7.016 -2.749 0 0 7.016 -2.749 5.257 -1.719 1918 12 NaN NaN NaN NaN NaN NaN 0.998 -2.142 1919 1 2.685 -3.035 0 0 2.685 -3.035 0.571 -2.362 1919 2 7.961 0.502 1 0 NaN NaN 2.173 -2.498 1919 3 10.278 0.103 1 0 NaN NaN 6.238 -1.149 1919 4 15.883 1.776 0 1 15.942 1.835 12.145 0.826 1919 5 19.327 0.671 0 0 19.387 0.730 15.585 -0.284 1919 6 23.117 -0.798 0 0 23.176 -0.739 20.062 -1.065 1919 7 23.482 -2.510 0 0 23.542 -2.450 21.786 -1.418 1919 8 23.315 -1.330 0 0 23.374 -1.270 21.613 -0.243 1919 9 21.640 0.053 0 0 21.699 0.112 18.450 -0.350 1919 10 14.503 -1.387 0 0 14.563 -1.327 12.121 -0.982 1919 11 9.797 0.033 0 0 9.856 0.092 6.974 -0.003 1919 12 7.655 1.727 0 0 7.714 1.786 5.210 2.070 1920 1 5.974 0.254 0 0 6.034 0.313 3.932 0.999 1920 2 9.453 1.994 0 0 9.513 2.054 6.938 2.267 1920 3 9.605 -0.570 0 1 9.581 -0.594 6.634 -0.753 1920 4 11.935 -2.172 0 0 11.911 -2.196 9.134 -2.186 1920 5 18.930 0.273 0 0 18.905 0.248 15.321 -0.548 1920 6 23.323 -0.591 0 0 23.299 -0.615 20.021 -1.106 1920 7 NaN NaN NaN NaN NaN NaN 22.761 -0.443 1920 8 22.481 -2.163 1 0 NaN NaN 20.384 -1.473 1920 9 21.705 0.118 0 0 21.681 0.094 18.437 -0.363 1920 10 14.190 -1.700 0 0 14.166 -1.724 11.751 -1.352 1920 11 8.620 -1.144 0 0 8.596 -1.168 6.856 -0.121 1920 12 3.023 -2.905 0 0 2.998 -2.929 1.970 -1.170 1921 1 5.167 -0.553 0 0 5.143 -0.577 4.542 1.609 1921 2 6.734 -0.725 0 0 6.710 -0.749 4.923 0.252 1921 3 12.075 1.900 0 0 12.051 1.876 9.418 2.030 1921 4 12.970 -1.137 0 0 12.946 -1.161 10.304 -1.015 1921 5 18.670 0.013 0 0 18.646 -0.011 14.883 -0.986 1921 6 24.188 0.273 0 0 24.163 0.249 20.324 -0.803 1921 7 25.481 -0.511 0 0 25.456 -0.535 21.904 -1.301 1921 8 24.782 0.138 0 0 24.758 0.114 20.615 -1.242 1921 9 22.920 1.333 0 0 22.896 1.309 19.558 0.758 1921 10 16.640 0.750 0 0 16.616 0.726 13.962 0.860 1921 11 10.222 0.458 1 0 NaN NaN 7.569 0.593 1921 12 7.848 1.920 0 0 7.824 1.896 5.716 2.576 1922 1 3.657 -2.063 0 0 3.633 -2.087 2.068 -0.865 1922 2 7.740 0.281 0 0 7.716 0.257 4.740 0.068 1922 3 NaN NaN NaN NaN NaN NaN 5.841 -1.546 1922 4 NaN NaN NaN NaN NaN NaN 9.769 -1.551 1922 5 NaN NaN NaN NaN NaN NaN 15.653 -0.216 1922 6 25.273 1.359 0 0 25.249 1.335 22.100 0.973 1922 7 26.168 0.177 0 0 26.144 0.152 23.540 0.336 1922 8 26.281 1.636 1 0 NaN NaN 22.767 0.910 1922 9 23.202 1.615 1 0 NaN NaN 19.780 0.980 1922 10 NaN NaN NaN NaN NaN NaN 13.290 0.187 1922 11 NaN NaN NaN NaN NaN NaN 5.299 -1.678 1922 12 NaN NaN NaN NaN NaN NaN 5.407 2.266 1923 1 4.150 -1.570 1 0 NaN NaN 5.403 2.470 1923 2 NaN NaN NaN NaN NaN NaN 3.953 -0.719 1923 3 NaN NaN NaN NaN NaN NaN 5.757 -1.630 1923 4 NaN NaN NaN NaN NaN NaN 11.409 0.089 1923 5 20.171 1.514 1 0 NaN NaN 16.023 0.153 1923 6 25.052 1.138 1 0 NaN NaN 20.808 -0.319 1923 7 26.925 0.933 0 0 26.901 0.909 23.184 -0.020 1923 8 24.625 -0.019 0 0 24.601 -0.043 20.760 -1.097 1923 9 20.540 -1.047 1 0 NaN NaN 17.564 -1.236 1923 10 14.908 -0.982 1 0 NaN NaN 11.685 -1.417 1923 11 9.573 -0.191 0 0 9.549 -0.215 6.790 -0.186 1923 12 4.043 -1.885 1 0 NaN NaN 2.059 -1.081 1924 1 3.905 -1.815 0 0 3.881 -1.840 1.586 -1.347 1924 2 7.046 -0.413 1 0 NaN NaN 4.941 0.269 1924 3 NaN NaN NaN NaN NaN NaN 4.946 -2.442 1924 4 NaN NaN NaN NaN NaN NaN 10.104 -1.215 1924 5 NaN NaN NaN NaN NaN NaN 15.517 -0.353 1924 6 NaN NaN NaN NaN NaN NaN 22.992 1.865 1924 7 NaN NaN NaN NaN NaN NaN 22.695 -0.509 1924 8 NaN NaN NaN NaN NaN NaN 22.377 0.520 1924 9 NaN NaN NaN NaN NaN NaN 19.301 0.502 1924 10 NaN NaN NaN NaN NaN NaN 13.424 0.321 1924 11 NaN NaN NaN NaN NaN NaN 8.281 1.305 1924 12 NaN NaN NaN NaN NaN NaN 1.987 -1.153 1925 1 NaN NaN NaN NaN NaN NaN 1.342 -1.591 1925 2 NaN NaN NaN NaN NaN NaN 6.336 1.665