% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29605 % Primary Name: WILLARD NEAR % Record Type: TAVG % Country: United States % State: NM % Latitude: 34.63330 +/- 0.00005 % Longitude: -106.03330 +/- 0.00005 % Elevation (m): 1853.18 +/- 0.15 % # of Months: 92 % % Alternate Names: Missing Station ID - 299754 % % IDs: coop - 299754 % ghcnd - USC00299754 % ncdc - 30002545 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: d4fe1de22fb10f83f4a4af7ed989308f % Raw Data Hash: fa5bb1b0444573e85d92fc1ed9b0c6ec % Adj Data Hash: d251b97b55ac3cfa6a5b8b4768c5b924 % % 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 1911 9 NaN NaN NaN NaN NaN NaN 20.569 1.805 1911 10 NaN NaN NaN NaN NaN NaN 11.671 -1.259 1911 11 NaN NaN NaN NaN NaN NaN 4.925 -1.557 1911 12 NaN NaN NaN NaN NaN NaN -1.005 -3.617 1912 1 NaN NaN NaN NaN NaN NaN 2.347 0.539 1912 2 NaN NaN NaN NaN NaN NaN 2.092 -1.723 1912 3 NaN NaN NaN NaN NaN NaN 5.528 -1.459 1912 4 NaN NaN NaN NaN NaN NaN 9.457 -2.061 1912 5 NaN NaN NaN NaN NaN NaN 16.049 -0.491 1912 6 NaN NaN NaN NaN NaN NaN 19.811 -1.923 1912 7 NaN NaN NaN NaN NaN NaN 23.012 -0.613 1912 8 NaN NaN NaN NaN NaN NaN 22.012 -0.366 1912 9 12.890 -4.328 1 0 NaN NaN 16.741 -2.022 1912 10 10.485 -0.899 0 0 9.626 -1.758 11.977 -0.953 1912 11 2.545 -2.392 0 0 1.608 -3.329 6.021 -0.461 1912 12 -3.203 -4.270 0 0 -3.655 -4.723 0.130 -2.483 1913 1 -3.555 -3.817 0 0 -3.674 -3.937 -0.152 -1.960 1913 2 1.834 -0.436 0 0 1.546 -0.724 1.889 -1.926 1913 3 4.561 -0.880 0 0 4.039 -1.402 5.375 -1.612 1913 4 10.607 0.634 0 0 10.085 0.113 11.014 -0.504 1913 5 17.503 2.509 0 0 16.998 2.004 16.873 0.333 1913 6 21.095 0.906 0 0 20.576 0.387 19.835 -1.899 1913 7 22.298 0.218 0 0 21.978 -0.102 23.268 -0.357 1913 8 21.611 0.778 0 0 21.521 0.687 22.367 -0.011 1913 9 15.117 -2.102 0 0 14.790 -2.429 16.616 -2.148 1913 10 10.258 -1.127 0 1 10.394 -0.991 11.823 -1.107 1913 11 7.173 2.237 0 0 7.321 2.385 8.675 2.193 1913 12 -2.069 -3.137 0 0 -1.998 -3.065 -0.218 -2.831 1914 1 3.177 2.915 0 0 3.196 2.934 5.063 3.255 1914 2 2.336 0.066 0 0 2.381 0.111 3.655 -0.160 1914 3 4.945 -0.496 0 0 5.028 -0.414 6.574 -0.413 1914 4 10.642 0.669 0 0 10.724 0.752 11.581 0.063 1914 5 15.279 0.284 0 0 15.359 0.364 15.646 -0.893 1914 6 20.843 0.654 0 0 20.925 0.736 21.747 0.013 1914 7 20.944 -1.137 0 0 20.994 -1.086 21.724 -1.902 1914 8 21.197 0.363 0 0 21.211 0.378 21.596 -0.783 1914 9 17.958 0.740 0 0 18.010 0.792 19.520 0.757 1914 10 9.947 -1.438 0 0 10.082 -1.302 12.424 -0.506 1914 11 5.148 0.212 0 0 5.296 0.360 8.137 1.655 1914 12 -1.160 -2.227 0 0 -1.088 -2.155 0.312 -2.300 1915 1 -2.592 -2.854 0 0 -2.573 -2.835 0.073 -1.735 1915 2 2.189 -0.081 0 0 2.235 -0.035 3.383 -0.432 1915 3 3.239 -2.203 0 0 3.321 -2.120 3.484 -3.503 1915 4 10.425 0.453 0 0 10.507 0.535 11.338 -0.180 1915 5 12.476 -2.519 0 0 12.556 -2.439 14.241 -2.299 1915 6 18.808 -1.381 0 0 18.890 -1.299 21.107 -0.627 1915 7 21.631 -0.450 0 0 21.681 -0.399 22.528 -1.098 1915 8 19.742 -1.092 0 0 19.756 -1.077 20.507 -1.871 1915 9 16.310 -0.908 0 0 16.362 -0.857 18.227 -0.537 1915 10 10.285 -1.100 0 0 10.421 -0.964 12.899 -0.031 1915 11 4.822 -0.115 0 0 4.970 0.033 7.496 1.014 1915 12 0.908 -0.159 0 0 0.979 -0.088 3.572 0.959 1916 1 1.535 1.273 0 0 1.554 1.292 2.808 1.000 1916 2 3.809 1.539 0 0 3.854 1.584 5.882 2.067 1916 3 7.969 2.528 0 0 8.052 2.610 9.687 2.700 1916 4 9.282 -0.691 0 0 9.364 -0.608 10.777 -0.740 1916 5 13.594 -1.401 0 0 13.673 -1.321 15.946 -0.594 1916 6 19.132 -1.057 0 0 19.214 -0.975 22.354 0.620 1916 7 21.992 -0.088 0 0 22.043 -0.038 23.282 -0.343 1916 8 20.719 -0.114 0 0 20.734 -0.100 21.392 -0.987 1916 9 16.867 -0.352 0 0 16.918 -0.300 18.540 -0.223 1916 10 10.663 -0.722 0 0 10.799 -0.586 12.657 -0.273 1916 11 3.602 -1.335 0 0 3.750 -1.187 6.022 -0.460 1916 12 0.021 -1.046 0 0 0.092 -0.975 1.605 -1.007 1917 1 -0.481 -0.743 0 0 -0.462 -0.724 1.529 -0.279 1917 2 1.809 -0.461 0 0 1.854 -0.416 3.605 -0.210 1917 3 2.934 -2.508 0 0 3.016 -2.425 5.299 -1.687 1917 4 8.115 -1.857 0 0 8.197 -1.775 10.379 -1.138 1917 5 11.561 -3.434 0 0 11.640 -3.354 12.397 -4.143 1917 6 18.497 -1.692 0 0 18.579 -1.610 21.020 -0.714 1917 7 23.015 0.934 0 0 23.065 0.985 24.272 0.646 1917 8 21.081 0.247 0 0 21.095 0.261 21.949 -0.429 1917 9 17.535 0.317 0 0 17.587 0.368 18.810 0.047 1917 10 10.752 -0.633 0 0 10.887 -0.498 13.043 0.113 1917 11 5.018 0.082 0 0 5.166 0.230 8.318 1.836 1917 12 3.040 1.973 0 0 3.112 2.045 5.474 2.861 1918 1 NaN NaN NaN NaN NaN NaN -0.832 -2.639 1918 2 NaN NaN NaN NaN NaN NaN 5.072 1.257 1918 3 7.097 1.655 0 0 7.179 1.738 8.833 1.846 1918 4 8.408 -1.564 0 0 8.491 -1.482 10.121 -1.396 1918 5 13.447 -1.548 0 0 13.526 -1.468 15.803 -0.737 1918 6 21.675 1.486 0 0 21.757 1.568 23.264 1.530 1918 7 NaN NaN NaN NaN NaN NaN 23.588 -0.037 1918 8 NaN NaN NaN NaN NaN NaN 21.989 -0.390 1918 9 NaN NaN NaN NaN NaN NaN 18.089 -0.674 1918 10 11.331 -0.054 0 0 11.466 0.081 13.588 0.658 1918 11 1.850 -3.087 0 0 1.998 -2.939 4.056 -2.426 1918 12 NaN NaN NaN NaN NaN NaN -0.501 -3.113 1919 1 NaN NaN NaN NaN NaN NaN -1.352 -3.159 1919 2 NaN NaN NaN NaN NaN NaN 1.871 -1.944 1919 3 NaN NaN NaN NaN NaN NaN 5.737 -1.250 1919 4 NaN NaN NaN NaN NaN NaN 11.577 0.060 1919 5 NaN NaN NaN NaN NaN NaN 15.550 -0.990 1919 6 NaN NaN NaN NaN NaN NaN 19.133 -2.601 1919 7 NaN NaN NaN NaN NaN NaN 22.244 -1.381 1919 8 NaN NaN NaN NaN NaN NaN 22.368 -0.011 1919 9 NaN NaN NaN NaN NaN NaN 18.953 0.190 1919 10 NaN NaN NaN NaN NaN NaN 12.330 -0.600 1919 11 4.873 -0.063 0 0 5.021 0.085 6.229 -0.253 1919 12 NaN NaN NaN NaN NaN NaN 4.509 1.897 1920 1 4.572 4.309 0 0 4.591 4.328 3.199 1.391 1920 2 8.409 6.139 0 0 8.454 6.184 5.624 1.809 1920 3 6.737 1.296 0 0 6.819 1.378 6.349 -0.637 1920 4 8.965 -1.007 0 0 9.047 -0.925 9.008 -2.509 1920 5 14.573 -0.422 0 0 14.652 -0.342 15.661 -0.879 1920 6 18.483 -1.706 0 0 18.565 -1.624 20.300 -1.434 1920 7 20.299 -1.781 0 0 20.350 -1.731 22.664 -0.962 1920 8 NaN NaN NaN NaN NaN NaN 20.747 -1.632 1920 9 NaN NaN NaN NaN NaN NaN 18.537 -0.227 1920 10 NaN NaN NaN NaN NaN NaN 12.195 -0.735 1920 11 NaN NaN NaN NaN NaN NaN 5.841 -0.641 1920 12 NaN NaN NaN NaN NaN NaN 2.241 -0.371 1921 1 NaN NaN NaN NaN NaN NaN 3.800 1.992 1921 2 NaN NaN NaN NaN NaN NaN 4.504 0.689 1921 3 NaN NaN NaN NaN NaN NaN 8.825 1.838 1921 4 NaN NaN NaN NaN NaN NaN 9.767 -1.751 1921 5 NaN NaN NaN NaN NaN NaN 15.604 -0.936 1921 6 NaN NaN NaN NaN NaN NaN 19.463 -2.272 1921 7 19.300 -2.780 0 0 19.351 -2.730 21.690 -1.936 1921 8 19.571 -1.262 0 0 19.585 -1.248 21.692 -0.687 1921 9 NaN NaN NaN NaN NaN NaN 20.260 1.496 1921 10 NaN NaN NaN NaN NaN NaN 14.470 1.540 1921 11 NaN NaN NaN NaN NaN NaN 8.489 2.007 1921 12 8.826 7.759 1 0 NaN NaN 5.866 3.254 1922 1 -2.324 -2.587 0 0 -2.305 -2.568 0.294 -1.513 1922 2 NaN NaN NaN NaN NaN NaN 3.180 -0.635 1922 3 3.997 -1.445 0 0 4.079 -1.362 5.641 -1.346 1922 4 9.466 -0.506 1 0 NaN NaN 10.708 -0.809 1922 5 15.813 0.818 0 0 15.893 0.898 16.167 -0.372 1922 6 20.750 0.561 0 0 20.832 0.643 21.621 -0.113 1922 7 23.458 1.378 0 0 23.509 1.429 23.820 0.194 1922 8 22.691 1.858 0 0 22.706 1.872 23.588 1.210 1922 9 NaN NaN NaN NaN NaN NaN 19.955 1.192 1922 10 NaN NaN NaN NaN NaN NaN 13.289 0.359 1922 11 1.580 -3.357 0 0 1.728 -3.209 5.381 -1.101 1922 12 2.573 1.505 0 0 2.644 1.577 5.224 2.611 1923 1 2.074 1.812 0 0 2.093 1.831 4.976 3.168 1923 2 NaN NaN NaN NaN NaN NaN 2.643 -1.172 1923 3 3.069 -2.373 1 0 NaN NaN 4.886 -2.101 1923 4 NaN NaN NaN NaN NaN NaN 11.072 -0.445 1923 5 NaN NaN NaN NaN NaN NaN 16.176 -0.363 1923 6 NaN NaN NaN NaN NaN NaN 21.834 0.099 1923 7 NaN NaN NaN NaN NaN NaN 23.681 0.056 1923 8 NaN NaN NaN NaN NaN NaN 21.959 -0.420 1923 9 NaN NaN NaN NaN NaN NaN 17.877 -0.887 1923 10 NaN NaN NaN NaN NaN NaN 10.699 -2.231 1923 11 NaN NaN NaN NaN NaN NaN 5.892 -0.590 1923 12 NaN NaN NaN NaN NaN NaN 1.304 -1.308 1924 1 NaN NaN NaN NaN NaN NaN 0.786 -1.022 1924 2 NaN NaN NaN NaN NaN NaN 4.270 0.455 1924 3 NaN NaN NaN NaN NaN NaN 3.790 -3.196