% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31725 % Primary Name: LAKE ALICE NEAR % Record Type: TAVG % Country: United States % State: NM % Latitude: 36.95000 +/- 0.00005 % Longitude: -104.38330 +/- 0.00005 % Elevation (m): 2119.90 +/- 0.05 % # of Months: 142 % % Alternate Names: Missing Station ID - 294728 % % IDs: coop - 294728 % ghcnd - USC00294728 % ncdc - 20020877 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 9905d5f66923360cd66c6bc18e98e7d2 % Raw Data Hash: 95e0a5398ede2f3b81370314fdd4cb6c % Adj Data Hash: f5c82e15c812f114ffd2f27a6442e44a % % 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 1928 3 NaN NaN NaN NaN NaN NaN 5.279 0.799 1928 4 NaN NaN NaN NaN NaN NaN 8.346 -1.620 1928 5 NaN NaN NaN NaN NaN NaN 14.515 -0.939 1928 6 NaN NaN NaN NaN NaN NaN 18.348 -2.836 1928 7 NaN NaN NaN NaN NaN NaN 23.096 -0.940 1928 8 NaN NaN NaN NaN NaN NaN 21.500 -1.205 1928 9 NaN NaN NaN NaN NaN NaN 17.448 -0.705 1928 10 NaN NaN NaN NaN NaN NaN 12.157 0.462 1928 11 NaN NaN NaN NaN NaN NaN 3.036 -0.987 1928 12 NaN NaN NaN NaN NaN NaN -1.335 -1.169 1929 1 NaN NaN NaN NaN NaN NaN -2.112 -0.481 1929 2 NaN NaN NaN NaN NaN NaN -3.596 -4.808 1929 3 2.757 0.751 0 0 2.757 0.751 4.355 -0.124 1929 4 8.110 0.616 0 0 8.110 0.616 9.953 -0.014 1929 5 11.467 -1.514 0 0 11.467 -1.514 14.075 -1.379 1929 6 17.562 -1.149 0 0 17.562 -1.149 20.860 -0.323 1929 7 18.905 -2.658 0 0 18.905 -2.658 24.045 0.009 1929 8 18.219 -2.013 0 0 18.219 -2.013 22.444 -0.261 1929 9 13.879 -1.801 0 0 13.879 -1.801 16.793 -1.359 1929 10 8.769 -0.453 0 0 8.769 -0.453 11.305 -0.391 1929 11 -1.164 -2.714 0 0 -1.164 -2.714 -0.121 -4.144 1929 12 0.746 3.385 0 0 0.746 3.385 0.649 0.815 1930 1 -4.464 -0.360 0 0 -4.464 -0.360 -7.111 -5.480 1930 2 4.192 5.454 1 0 NaN NaN 5.021 3.810 1930 3 1.181 -0.826 0 0 1.181 -0.826 2.188 -2.291 1930 4 10.723 3.230 0 0 10.723 3.230 12.782 2.815 1930 5 10.584 -2.397 0 0 10.584 -2.397 13.536 -1.918 1930 6 16.840 -1.871 0 0 16.840 -1.871 21.006 -0.177 1930 7 18.556 -3.007 0 0 18.556 -3.007 23.436 -0.600 1930 8 18.268 -1.964 0 0 18.268 -1.964 22.480 -0.226 1930 9 14.703 -0.977 0 0 14.703 -0.977 17.919 -0.234 1930 10 8.782 -0.441 0 0 8.782 -0.441 11.017 -0.678 1930 11 3.098 1.548 0 0 3.098 1.548 3.001 -1.022 1930 12 -2.993 -0.353 1 0 NaN NaN -2.874 -2.708 1931 1 -0.278 3.826 0 0 -0.278 3.826 -1.521 0.110 1931 2 1.667 2.928 0 0 1.667 2.928 2.777 1.566 1931 3 1.778 -0.229 0 0 1.778 -0.229 1.848 -2.632 1931 4 7.500 0.006 0 0 7.500 0.006 9.214 -0.753 1931 5 10.444 -2.537 0 0 10.444 -2.537 13.366 -2.088 1931 6 17.833 -0.877 0 0 17.833 -0.877 22.432 1.249 1931 7 19.278 -2.285 0 0 19.278 -2.285 24.313 0.277 1931 8 18.444 -1.788 0 0 18.444 -1.788 22.078 -0.628 1931 9 16.111 0.431 0 0 16.111 0.431 20.466 2.314 1931 10 10.444 1.222 0 0 10.444 1.222 13.111 1.416 1931 11 3.444 1.894 0 0 3.444 1.894 2.478 -1.545 1931 12 0.167 2.806 0 0 0.167 2.806 0.255 0.422 1932 1 -3.111 0.993 0 0 -3.111 0.993 -3.299 -1.667 1932 2 3.444 4.706 0 0 3.444 4.706 4.494 3.283 1932 3 1.611 -0.396 0 0 1.611 -0.396 1.310 -3.169 1932 4 8.778 1.284 0 0 8.778 1.284 10.763 0.796 1932 5 12.889 -0.092 0 0 12.889 -0.092 15.917 0.463 1932 6 15.667 -3.044 0 0 15.667 -3.044 19.514 -1.670 1932 7 19.778 -1.785 0 0 19.778 -1.785 24.958 0.922 1932 8 19.444 -0.788 0 0 19.444 -0.788 23.519 0.813 1932 9 14.778 -0.902 0 0 14.778 -0.902 17.586 -0.567 1932 10 8.333 -0.889 0 0 8.333 -0.889 10.731 -0.965 1932 11 4.667 3.116 0 0 4.667 3.116 5.244 1.221 1932 12 -2.333 0.306 0 0 -2.333 0.306 -4.587 -4.421 1933 1 -0.222 3.882 0 0 -0.222 3.882 0.788 2.419 1933 2 -2.889 -1.627 0 0 -2.889 -1.627 -1.614 -2.825 1933 3 4.667 2.660 0 0 4.667 2.660 5.800 1.321 1933 4 6.222 -1.272 0 0 6.222 -1.272 8.070 -1.897 1933 5 11.667 -1.314 0 0 11.667 -1.314 14.233 -1.221 1933 6 17.944 -0.766 0 0 17.944 -0.766 22.614 1.431 1933 7 20.556 -1.007 0 0 20.556 -1.007 24.707 0.672 1933 8 18.611 -1.622 0 0 18.611 -1.622 22.004 -0.702 1933 9 16.889 1.209 0 0 16.889 1.209 20.299 2.147 1933 10 11.722 2.500 0 0 11.722 2.500 13.054 1.358 1933 11 5.889 4.338 0 0 5.889 4.338 5.823 1.800 1933 12 4.667 7.306 0 0 4.667 7.306 4.466 4.633 1934 1 0.778 4.882 0 0 0.778 4.882 1.279 2.911 1934 2 3.944 5.206 0 0 3.944 5.206 2.802 1.591 1934 3 6.167 4.160 0 0 6.167 4.160 6.069 1.589 1934 4 8.889 1.395 0 0 8.889 1.395 11.265 1.298 1934 5 12.778 -0.203 0 0 12.778 -0.203 18.081 2.627 1934 6 14.556 -4.155 0 0 14.556 -4.155 22.604 1.420 1934 7 17.889 -3.674 0 0 17.889 -3.674 26.313 2.277 1934 8 16.944 -3.288 0 0 16.944 -3.288 24.481 1.776 1934 9 11.556 -4.124 0 0 11.556 -4.124 17.198 -0.955 1934 10 11.556 2.333 0 0 11.556 2.333 14.565 2.870 1934 11 4.667 3.116 0 0 4.667 3.116 5.857 1.833 1934 12 0.222 2.861 0 0 0.222 2.861 1.499 1.666 1935 1 2.889 6.993 0 0 2.889 6.993 2.354 3.985 1935 2 2.222 3.484 0 0 2.222 3.484 2.787 1.576 1935 3 4.722 2.715 0 0 4.722 2.715 6.865 2.386 1935 4 NaN NaN NaN NaN NaN NaN 9.894 -0.072 1935 5 NaN NaN NaN NaN NaN NaN 12.195 -3.259 1935 6 17.242 -1.468 1 0 NaN NaN 21.033 -0.150 1935 7 19.611 -1.952 0 0 19.611 -1.952 25.371 1.335 1935 8 19.444 -0.788 0 0 19.444 -0.788 23.769 1.064 1935 9 15.556 -0.124 0 0 15.556 -0.124 17.975 -0.178 1935 10 9.278 0.055 0 0 9.278 0.055 12.334 0.639 1935 11 2.444 0.894 0 0 2.444 0.894 3.427 -0.596 1935 12 NaN NaN NaN NaN NaN NaN 0.427 0.594 1936 1 NaN NaN NaN NaN NaN NaN -1.442 0.189 1936 2 -0.556 0.706 0 0 -0.556 0.706 -1.895 -3.106 1936 3 1.111 -0.896 0 0 1.111 -0.896 5.998 1.518 1936 4 5.056 -2.438 0 0 5.056 -2.438 10.602 0.635 1936 5 9.500 -3.481 0 0 9.500 -3.481 16.476 1.022 1936 6 17.523 -1.188 1 0 NaN NaN 22.813 1.630 1936 7 18.560 -3.003 1 0 NaN NaN 25.144 1.108 1936 8 20.111 -0.122 0 0 20.111 -0.122 23.778 1.073 1936 9 13.667 -2.013 0 0 13.667 -2.013 17.623 -0.530 1936 10 6.567 -2.656 1 0 NaN NaN 10.458 -1.237 1936 11 NaN NaN NaN NaN NaN NaN 4.342 0.318 1936 12 NaN NaN NaN NaN NaN NaN 1.053 1.219 1937 1 -4.950 -0.846 1 0 NaN NaN -6.032 -4.401 1937 2 0.333 1.595 0 0 0.333 1.595 1.201 -0.010 1937 3 2.222 0.215 0 0 2.222 0.215 2.676 -1.804 1937 4 8.000 0.506 0 0 8.000 0.506 10.177 0.211 1937 5 14.167 1.186 0 0 14.167 1.186 16.313 0.859 1937 6 15.889 -2.822 0 0 15.889 -2.822 20.692 -0.491 1937 7 20.111 -1.452 0 0 20.111 -1.452 25.043 1.007 1937 8 20.778 0.545 0 0 20.778 0.545 25.076 2.371 1937 9 NaN NaN NaN NaN NaN NaN 19.334 1.182 1937 10 10.611 1.388 0 0 10.611 1.388 12.363 0.667 1937 11 3.222 1.672 0 0 3.222 1.672 3.926 -0.098 1937 12 0.000 2.639 0 0 0.000 2.639 -0.196 -0.029 1938 1 -0.111 3.993 0 0 -0.111 3.993 -0.022 1.609 1938 2 1.333 2.595 0 0 1.333 2.595 2.496 1.285 1938 3 5.500 3.493 0 0 5.500 3.493 6.467 1.987 1938 4 7.111 -0.383 0 0 7.111 -0.383 9.942 -0.024 1938 5 11.889 -1.092 0 0 11.889 -1.092 14.352 -1.101 1938 6 16.556 -2.155 0 0 16.556 -2.155 21.102 -0.081 1938 7 19.333 -2.230 0 0 19.333 -2.230 23.859 -0.177 1938 8 20.237 0.004 1 0 NaN NaN 24.260 1.554 1938 9 15.556 -0.124 0 0 15.556 -0.124 18.714 0.562 1938 10 10.444 1.222 0 0 10.444 1.222 13.758 2.063 1938 11 2.222 0.672 0 0 2.222 0.672 1.951 -2.072 1938 12 0.833 3.473 0 0 0.833 3.473 0.960 1.126 1939 1 -1.556 2.549 0 0 -1.556 2.549 0.127 1.759 1939 2 -4.444 -3.183 0 0 -4.444 -3.183 -2.993 -4.204 1939 3 4.444 2.438 0 0 4.444 2.438 4.546 0.066 1939 4 8.333 0.840 0 0 8.333 0.840 10.507 0.541 1939 5 13.667 0.686 0 0 13.667 0.686 16.070 0.616 1939 6 17.333 -1.377 0 0 17.333 -1.377 21.783 0.599 1939 7 19.667 -1.896 0 0 19.667 -1.896 24.821 0.786 1939 8 18.889 -1.344 0 0 18.889 -1.344 22.592 -0.113 1939 9 19.000 3.320 0 0 19.000 3.320 20.300 2.147 1939 10 9.889 0.666 0 0 9.889 0.666 12.594 0.898 1939 11 3.833 2.283 0 0 3.833 2.283 4.454 0.431 1939 12 NaN NaN NaN NaN NaN NaN 2.520 2.686 1940 1 NaN NaN NaN NaN NaN NaN -6.659 -5.027 1940 2 0.111 1.373 0 0 0.111 1.373 1.456 0.245 1940 3 4.556 2.549 0 0 4.556 2.549 5.441 0.961 1940 4 6.111 -1.383 0 0 6.111 -1.383 9.484 -0.482 1940 5 13.000 0.019 0 0 13.000 0.019 15.332 -0.122 1940 6 17.333 -1.377 0 0 17.333 -1.377 21.314 0.131 1940 7 20.222 -1.341 0 0 20.222 -1.341 24.885 0.849 1940 8 17.722 -2.511 0 0 17.722 -2.511 21.850 -0.855 1940 9 15.222 -0.458 0 0 15.222 -0.458 19.132 0.979 1940 10 12.222 3.000 0 0 12.222 3.000 13.854 2.158 1940 11 NaN NaN NaN NaN NaN NaN 2.508 -1.515 1940 12 NaN NaN NaN NaN NaN NaN 1.220 1.386 1941 1 -0.889 3.215 0 0 -0.889 3.215 -0.222 1.409 1941 2 1.556 2.817 0 0 1.556 2.817 2.681 1.470 1941 3 1.556 -0.451 0 0 1.556 -0.451 3.014 -1.466 1941 4 5.333 -2.160 0 0 5.333 -2.160 9.207 -0.759 1941 5 12.500 -0.481 0 0 12.500 -0.481 15.863 0.409 1941 6 14.667 -4.044 0 0 14.667 -4.044 19.388 -1.796 1941 7 17.889 -3.674 0 0 17.889 -3.674 22.664 -1.372 1941 8 17.778 -2.455 0 0 17.778 -2.455 22.240 -0.466 1941 9 14.444 -1.235 0 0 14.444 -1.235 17.596 -0.557 1941 10 8.778 -0.445 0 0 8.778 -0.445 11.594 -0.101 1941 11 3.389 1.838 0 0 3.389 1.838 5.201 1.177 1941 12 NaN NaN NaN NaN NaN NaN 0.598 0.764 1942 1 NaN NaN NaN NaN NaN NaN -2.381 -0.750 1942 2 NaN NaN NaN NaN NaN NaN -1.569 -2.780 1942 3 NaN NaN NaN NaN NaN NaN 2.979 -1.501 1942 4 NaN NaN NaN NaN NaN NaN 10.965 0.998 1942 5 NaN NaN NaN NaN NaN NaN 14.868 -0.586 1942 6 NaN NaN NaN NaN NaN NaN 20.197 -0.986 1942 7 NaN NaN NaN NaN NaN NaN 23.486 -0.550 1942 8 NaN NaN NaN NaN NaN NaN 22.289 -0.416 1942 9 NaN NaN NaN NaN NaN NaN 17.112 -1.040 1942 10 NaN NaN NaN NaN NaN NaN 11.557 -0.138 1942 11 NaN NaN NaN NaN NaN NaN 6.344 2.320