% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31647 % Primary Name: RATON NEAR % Record Type: TAVG % Country: United States % State: NM % Latitude: 36.86667 +/- 0.00833 % Longitude: -104.41667 +/- 0.00833 % Elevation (m): 1979.10 +/- 0.05 % # of Months: 130 % % IDs: coop - 297281 % ncdc - 20020867 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 45bedcbe4e29390e28c4490c8cb6ae8f % Raw Data Hash: edc64ff54f19500a9b0c3383e87d911b % Adj Data Hash: 0888749e4f9a1429150237f0dea7e3e8 % % 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 1930 1 NaN NaN NaN NaN NaN NaN -4.157 -4.815 1930 2 NaN NaN NaN NaN NaN NaN 6.710 3.901 1930 3 NaN NaN NaN NaN NaN NaN 3.816 -2.105 1930 4 NaN NaN NaN NaN NaN NaN 14.102 3.033 1930 5 NaN NaN NaN NaN NaN NaN 14.696 -1.589 1930 6 NaN NaN NaN NaN NaN NaN 21.672 0.019 1930 7 NaN NaN NaN NaN NaN NaN 23.512 -0.435 1930 8 NaN NaN NaN NaN NaN NaN 22.866 0.005 1930 9 NaN NaN NaN NaN NaN NaN 19.247 0.428 1930 10 NaN NaN NaN NaN NaN NaN 12.014 -0.833 1930 11 NaN NaN NaN NaN NaN NaN 5.580 -0.217 1930 12 NaN NaN NaN NaN NaN NaN 0.724 -1.250 1931 1 -1.278 0.829 0 0 -1.278 0.829 1.285 0.627 1931 2 1.222 1.179 0 0 1.222 1.179 4.405 1.597 1931 3 1.333 -1.822 0 0 1.333 -1.822 3.234 -2.687 1931 4 8.500 0.196 0 0 8.500 0.196 9.924 -1.145 1931 5 13.000 -0.521 0 0 13.000 -0.521 13.699 -2.587 1931 6 19.444 0.556 0 0 19.444 0.556 22.539 0.886 1931 7 20.889 -0.292 0 0 20.889 -0.292 23.499 -0.448 1931 8 18.667 -1.429 0 0 18.667 -1.429 21.395 -1.466 1931 9 16.667 0.612 0 0 16.667 0.612 21.114 2.295 1931 10 11.000 0.918 0 0 11.000 0.918 14.022 1.176 1931 11 2.556 -0.476 0 0 2.556 -0.476 5.228 -0.569 1931 12 -1.500 -0.709 0 0 -1.500 -0.709 2.592 0.619 1932 1 -4.000 -1.893 0 0 -4.000 -1.893 -0.811 -1.469 1932 2 2.222 2.179 0 0 2.222 2.179 6.093 3.284 1932 3 1.222 -1.934 0 0 1.222 -1.934 3.133 -2.788 1932 4 8.556 0.252 0 0 8.556 0.252 11.358 0.289 1932 5 13.278 -0.243 0 0 13.278 -0.243 16.167 -0.119 1932 6 16.667 -2.222 0 0 16.667 -2.222 19.786 -1.868 1932 7 21.222 0.041 0 0 21.222 0.041 24.471 0.525 1932 8 21.389 1.293 0 0 21.389 1.293 23.189 0.329 1932 9 16.333 0.279 0 0 16.333 0.279 17.930 -0.890 1932 10 9.889 -0.193 0 0 9.889 -0.193 12.124 -0.723 1932 11 5.944 2.913 0 0 5.944 2.913 6.400 0.603 1932 12 -2.889 -2.098 0 0 -2.889 -2.098 -1.938 -3.912 1933 1 0.111 2.218 0 0 0.111 2.218 2.746 2.088 1933 2 -2.500 -2.544 0 0 -2.500 -2.544 0.075 -2.734 1933 3 4.444 1.289 0 0 4.444 1.289 6.970 1.049 1933 4 4.833 -3.471 0 0 4.833 -3.471 9.444 -1.625 1933 5 12.222 -1.298 0 0 12.222 -1.298 15.530 -0.756 1933 6 18.944 0.056 0 0 18.944 0.056 22.982 1.329 1933 7 21.222 0.041 0 0 21.222 0.041 24.714 0.768 1933 8 19.500 -0.596 0 0 19.500 -0.596 22.280 -0.580 1933 9 17.778 1.723 0 0 17.778 1.723 20.952 2.132 1933 10 11.500 1.418 0 0 11.500 1.418 14.345 1.498 1933 11 5.333 2.302 0 0 5.333 2.302 7.479 1.682 1933 12 3.111 3.902 0 0 3.111 3.902 6.610 4.636 1934 1 -0.722 1.385 0 0 -0.722 1.385 3.008 2.350 1934 2 1.889 1.845 0 0 1.889 1.845 4.484 1.675 1934 3 5.222 2.066 0 0 5.222 2.066 6.945 1.024 1934 4 8.444 0.140 0 0 8.444 0.140 12.447 1.378 1934 5 14.111 0.591 0 0 14.111 0.591 18.424 2.138 1934 6 18.000 -0.888 0 0 18.000 -0.888 23.151 1.498 1934 7 21.611 0.430 0 0 21.611 0.430 26.150 2.204 1934 8 21.778 1.682 0 0 21.778 1.682 24.770 1.910 1934 9 15.889 -0.166 0 0 15.889 -0.166 18.108 -0.712 1934 10 12.722 2.641 0 0 12.722 2.641 15.470 2.623 1934 11 5.111 2.079 0 0 5.111 2.079 7.309 1.512 1934 12 0.111 0.902 0 0 0.111 0.902 3.428 1.454 1935 1 1.889 3.996 0 0 1.889 3.996 4.501 3.843 1935 2 2.000 1.956 0 0 2.000 1.956 4.289 1.481 1935 3 6.333 3.178 0 0 6.333 3.178 8.411 2.490 1935 4 9.667 1.363 0 0 9.667 1.363 11.445 0.376 1935 5 13.000 -0.521 0 0 13.000 -0.521 13.135 -3.150 1935 6 18.667 -0.222 0 0 18.667 -0.222 21.997 0.343 1935 7 21.278 0.097 0 0 21.278 0.097 25.036 1.089 1935 8 20.056 -0.040 0 0 20.056 -0.040 23.478 0.617 1935 9 16.333 0.279 0 0 16.333 0.279 17.934 -0.886 1935 10 10.444 0.363 0 0 10.444 0.363 13.303 0.456 1935 11 3.556 0.524 0 0 3.556 0.524 5.348 -0.449 1935 12 -1.000 -0.209 0 0 -1.000 -0.209 2.047 0.073 1936 1 -2.833 -0.726 0 0 -2.833 -0.726 0.086 -0.572 1936 2 0.944 0.901 0 0 0.944 0.901 0.719 -2.090 1936 3 6.000 2.844 0 0 6.000 2.844 7.317 1.396 1936 4 9.944 1.640 0 0 9.944 1.640 11.482 0.413 1936 5 15.278 1.757 0 0 15.278 1.757 16.731 0.445 1936 6 19.333 0.445 0 0 19.333 0.445 22.784 1.131 1936 7 22.000 0.819 0 0 22.000 0.819 24.307 0.360 1936 8 22.222 2.127 0 0 22.222 2.127 24.337 1.477 1936 9 15.056 -0.999 0 0 15.056 -0.999 18.131 -0.689 1936 10 9.667 -0.415 0 0 9.667 -0.415 11.645 -1.201 1936 11 3.056 0.024 0 0 3.056 0.024 5.240 -0.557 1936 12 -0.333 0.458 0 0 -0.333 0.458 3.030 1.056 1937 1 -6.500 -4.393 0 0 -6.500 -4.393 -3.102 -3.760 1937 2 1.000 0.956 0 0 1.000 0.956 2.774 -0.035 1937 3 NaN NaN NaN NaN NaN NaN 4.145 -1.776 1937 4 9.556 1.252 0 0 9.556 1.252 11.223 0.154 1937 5 15.500 1.979 0 0 15.500 1.979 17.116 0.830 1937 6 18.111 -0.777 0 0 18.111 -0.777 21.371 -0.282 1937 7 21.389 0.208 0 0 21.389 0.208 24.807 0.860 1937 8 21.778 1.682 0 0 21.778 1.682 25.116 2.255 1937 9 17.611 1.557 0 0 17.611 1.557 20.109 1.289 1937 10 11.611 1.530 0 0 11.611 1.530 13.853 1.006 1937 11 4.556 1.524 0 0 4.556 1.524 5.982 0.185 1937 12 0.000 0.791 0 0 0.000 0.791 2.088 0.114 1938 1 -1.111 0.996 0 0 -1.111 0.996 1.913 1.255 1938 2 0.278 0.234 0 0 0.278 0.234 3.033 0.224 1938 3 5.944 2.789 0 0 5.944 2.789 7.993 2.072 1938 4 8.556 0.252 0 0 8.556 0.252 11.019 -0.050 1938 5 12.889 -0.632 0 0 12.889 -0.632 15.550 -0.736 1938 6 17.778 -1.110 0 0 17.778 -1.110 21.451 -0.203 1938 7 19.778 -1.403 0 0 19.778 -1.403 23.633 -0.313 1938 8 20.889 0.793 0 0 20.889 0.793 24.636 1.775 1938 9 16.556 0.501 0 0 16.556 0.501 19.313 0.493 1938 10 11.778 1.696 0 0 11.778 1.696 14.378 1.531 1938 11 2.111 -0.921 0 0 2.111 -0.921 4.306 -1.491 1938 12 0.556 1.347 0 0 0.556 1.347 2.984 1.010 1939 1 -1.111 0.996 0 0 -1.111 0.996 1.927 1.269 1939 2 -3.889 -3.932 0 0 -3.889 -3.932 -1.103 -3.912 1939 3 5.333 2.178 0 0 5.333 2.178 6.758 0.837 1939 4 9.889 1.585 0 0 9.889 1.585 11.696 0.627 1939 5 13.722 0.202 0 0 13.722 0.202 16.547 0.261 1939 6 18.500 -0.388 0 0 18.500 -0.388 22.157 0.504 1939 7 21.389 0.208 0 0 21.389 0.208 24.271 0.325 1939 8 19.833 -0.262 0 0 19.833 -0.262 22.387 -0.474 1939 9 17.333 1.279 0 0 17.333 1.279 20.695 1.876 1939 10 9.556 -0.526 0 0 9.556 -0.526 13.202 0.356 1939 11 3.000 -0.032 0 0 3.000 -0.032 5.287 -0.510 1939 12 -0.333 0.458 0 0 -0.333 0.458 3.950 1.976 1940 1 -6.111 -4.004 0 0 -6.111 -4.004 -3.285 -3.943 1940 2 -2.333 -2.377 0 0 -2.333 -2.377 2.467 -0.342 1940 3 4.000 0.844 0 0 4.000 0.844 6.490 0.569 1940 4 7.000 -1.304 0 0 7.000 -1.304 10.775 -0.295 1940 5 12.111 -1.409 0 0 12.111 -1.409 16.345 0.059 1940 6 18.000 -0.888 0 0 18.000 -0.888 21.521 -0.133 1940 7 19.556 -1.626 0 0 19.556 -1.626 25.302 1.355 1940 8 19.000 -1.096 0 0 19.000 -1.096 22.201 -0.660 1940 9 16.278 0.223 0 0 16.278 0.223 20.154 1.334 1940 10 11.833 1.752 0 0 11.833 1.752 15.151 2.304 1940 11 1.667 -1.365 0 0 1.667 -1.365 4.018 -1.779 1940 12 -1.222 -0.431 0 0 -1.222 -0.431 2.991 1.017 1941 1 -1.056 1.052 0 0 -1.056 1.052 1.563 0.905 1941 2 2.833 2.790 0 0 2.833 2.790 3.950 1.141 1941 3 2.333 -0.822 0 0 2.333 -0.822 4.167 -1.754 1941 4 7.444 -0.860 0 0 7.444 -0.860 9.949 -1.120 1941 5 13.667 0.146 0 0 13.667 0.146 16.119 -0.167 1941 6 16.111 -2.777 0 0 16.111 -2.777 19.511 -2.142 1941 7 19.667 -1.515 0 0 19.667 -1.515 22.138 -1.808 1941 8 19.333 -0.762 0 0 19.333 -0.762 22.062 -0.799 1941 9 16.111 0.057 0 0 16.111 0.057 18.101 -0.719 1941 10 9.000 -1.082 0 0 9.000 -1.082 12.582 -0.264 1941 11 3.889 0.857 0 0 3.889 0.857 6.984 1.187 1941 12 NaN NaN NaN NaN NaN NaN 3.181 1.207 1942 1 NaN NaN NaN NaN NaN NaN 0.696 0.038 1942 2 NaN NaN NaN NaN NaN NaN 0.460 -2.348 1942 3 NaN NaN NaN NaN NaN NaN 4.340 -1.581 1942 4 NaN NaN NaN NaN NaN NaN 11.275 0.206 1942 5 NaN NaN NaN NaN NaN NaN 15.486 -0.800 1942 6 NaN NaN NaN NaN NaN NaN 20.900 -0.753 1942 7 NaN NaN NaN NaN NaN NaN 23.224 -0.722 1942 8 NaN NaN NaN NaN NaN NaN 22.003 -0.858 1942 9 NaN NaN NaN NaN NaN NaN 17.407 -1.413 1942 10 NaN NaN NaN NaN NaN NaN 12.107 -0.739 1942 11 NaN NaN NaN NaN NaN NaN 8.226 2.429