% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31309 % Primary Name: SHOEMAKER RANCH % Record Type: TAVG % Country: United States % State: NM % Latitude: 36.45000 +/- 0.00500 % Longitude: -104.65000 +/- 0.00500 % Elevation (m): 1891.00 +/- 0.05 % # of Months: 184 % % Alternate Names: Missing Station ID - 298289 % SHOEMAKER RCH % % IDs: coop - 298289 % ghcnd - USC00298289 % ncdc - 20020806 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: e6351aa72863d0d3754dc0a6d7ba1106 % Raw Data Hash: 18998d2c6085bcdc5ad5f9a79955113f % Adj Data Hash: 0be243ac9e6435e463ecdef8a65faa80 % % 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 2 NaN NaN NaN NaN NaN NaN -1.288 -0.740 1928 3 NaN NaN NaN NaN NaN NaN 3.528 1.284 1928 4 NaN NaN NaN NaN NaN NaN 5.047 -1.424 1928 5 NaN NaN NaN NaN NaN NaN 10.804 -0.606 1928 6 NaN NaN NaN NaN NaN NaN 15.789 -0.594 1928 7 NaN NaN NaN NaN NaN NaN 18.392 -0.329 1928 8 NaN NaN NaN NaN NaN NaN 16.248 -1.291 1928 9 NaN NaN NaN NaN NaN NaN 14.115 -0.057 1928 10 NaN NaN NaN NaN NaN NaN 9.950 1.153 1928 11 NaN NaN NaN NaN NaN NaN 1.230 -1.245 1928 12 NaN NaN NaN NaN NaN NaN -2.561 -1.220 1929 1 NaN NaN NaN NaN NaN NaN -2.793 -0.460 1929 2 -0.729 -2.443 1 0 NaN NaN -4.524 -3.976 1929 3 7.148 2.643 0 0 6.972 2.466 1.567 -0.677 1929 4 10.882 2.149 0 0 10.703 1.971 6.224 -0.247 1929 5 14.031 0.359 0 0 13.886 0.214 10.194 -1.216 1929 6 18.923 0.278 0 0 18.839 0.194 16.151 -0.233 1929 7 20.623 -0.359 0 0 20.589 -0.393 18.219 -0.501 1929 8 20.565 0.764 0 0 20.520 0.719 16.803 -0.736 1929 9 17.607 1.173 0 0 17.497 1.063 13.817 -0.354 1929 10 11.616 0.557 0 0 11.459 0.400 8.105 -0.692 1929 11 1.703 -3.033 0 0 1.563 -3.174 -0.800 -3.274 1929 12 2.340 1.419 0 0 2.237 1.316 0.209 1.550 1930 1 -2.894 -2.822 0 0 -2.998 -2.927 -5.144 -2.810 1930 2 5.436 3.723 0 0 5.293 3.579 2.387 2.935 1930 3 NaN NaN NaN NaN NaN NaN 0.267 -1.977 1930 4 12.570 3.837 0 0 12.392 3.659 8.817 2.346 1930 5 13.053 -0.618 0 0 12.909 -0.763 9.343 -2.067 1930 6 19.648 1.003 0 0 19.564 0.919 16.559 0.176 1930 7 20.838 -0.144 1 0 NaN NaN 17.910 -0.810 1930 8 NaN NaN NaN NaN NaN NaN 17.149 -0.390 1930 9 NaN NaN NaN NaN NaN NaN 13.851 -0.321 1930 10 9.082 -1.977 1 0 NaN NaN 8.552 -0.245 1930 11 3.262 -1.475 0 0 3.121 -1.616 1.323 -1.152 1930 12 -1.587 -2.508 0 0 -1.690 -2.611 -3.490 -2.150 1931 1 0.333 0.405 0 0 0.229 0.300 -2.381 -0.048 1931 2 2.333 0.620 0 0 2.190 0.477 0.293 0.841 1931 3 3.000 -1.506 0 0 2.823 -1.682 0.167 -2.077 1931 4 9.222 0.490 0 0 9.044 0.311 6.260 -0.211 1931 5 12.667 -1.005 0 0 12.522 -1.150 9.757 -1.653 1931 6 19.000 0.355 0 0 18.916 0.271 17.009 0.626 1931 7 20.333 -0.649 0 0 20.299 -0.683 18.653 -0.067 1931 8 19.889 0.088 0 0 19.844 0.043 16.925 -0.614 1931 9 18.778 2.345 0 0 18.668 2.235 15.534 1.362 1931 10 12.778 1.719 0 0 12.621 1.562 9.711 0.913 1931 11 3.667 -1.070 0 0 3.526 -1.211 1.221 -1.253 1931 12 1.500 0.579 0 0 1.397 0.476 -2.004 -0.663 1932 1 -2.111 -2.040 0 0 -2.216 -2.144 -5.124 -2.791 1932 2 5.667 3.953 0 0 5.523 3.810 1.674 2.222 1932 3 3.111 -1.394 0 0 2.935 -1.571 0.401 -1.843 1932 4 10.111 1.378 0 0 9.933 1.200 6.608 0.137 1932 5 14.556 0.884 0 0 14.411 0.739 10.615 -0.795 1932 6 17.111 -1.534 0 0 17.027 -1.618 14.845 -1.538 1932 7 20.556 -0.426 0 0 20.522 -0.461 18.628 -0.092 1932 8 21.111 1.310 0 0 21.066 1.266 17.769 0.230 1932 9 16.111 -0.322 0 0 16.001 -0.432 13.488 -0.684 1932 10 10.833 -0.226 0 0 10.677 -0.383 7.617 -1.180 1932 11 5.889 1.152 0 0 5.748 1.012 3.345 0.870 1932 12 -2.889 -3.810 0 0 -2.992 -3.913 -4.241 -2.901 1933 1 0.556 0.627 0 0 0.451 0.523 -2.554 -0.220 1933 2 -1.778 -3.491 0 0 -1.921 -3.635 -4.330 -3.782 1933 3 5.778 1.272 0 0 5.601 1.096 2.895 0.651 1933 4 7.222 -1.510 0 0 7.044 -1.689 4.199 -2.272 1933 5 13.444 -0.227 0 0 13.300 -0.372 9.741 -1.669 1933 6 19.444 0.799 0 0 19.360 0.715 16.544 0.160 1933 7 21.222 0.240 0 0 21.188 0.206 19.253 0.532 1933 8 18.889 -0.912 0 0 18.844 -0.957 17.363 -0.176 1933 9 18.333 1.900 0 0 18.223 1.790 16.283 2.112 1933 10 12.556 1.496 0 0 12.399 1.340 10.548 1.750 1933 11 6.000 1.264 0 0 5.859 1.123 4.205 1.730 1933 12 4.889 3.968 0 0 4.786 3.865 2.618 3.958 1934 1 0.833 0.905 0 0 0.729 0.800 -1.153 1.180 1934 2 3.500 1.786 0 0 3.357 1.643 2.315 2.863 1934 3 6.556 2.050 0 0 6.379 1.873 4.617 2.373 1934 4 11.000 2.267 0 0 10.822 2.089 8.109 1.638 1934 5 16.667 2.995 0 0 16.522 2.850 13.439 2.029 1934 6 19.889 1.244 0 0 19.805 1.160 16.820 0.437 1934 7 22.778 1.796 0 0 22.744 1.762 20.111 1.390 1934 8 21.222 1.422 0 0 21.177 1.377 18.924 1.385 1934 9 16.333 -0.100 0 0 16.223 -0.210 13.864 -0.308 1934 10 13.111 2.052 0 0 12.954 1.895 10.777 1.980 1934 11 5.222 0.486 0 0 5.081 0.345 3.079 0.604 1934 12 0.611 -0.310 0 0 0.508 -0.413 -0.222 1.118 1935 1 3.111 3.183 0 0 3.007 3.078 1.082 3.416 1935 2 2.722 1.009 0 0 2.579 0.865 0.176 0.724 1935 3 6.611 2.106 0 0 6.435 1.929 3.227 0.983 1935 4 10.222 1.490 0 0 10.044 1.311 6.789 0.318 1935 5 11.111 -2.561 0 0 10.966 -2.705 8.522 -2.888 1935 6 19.222 0.577 0 0 19.138 0.493 16.231 -0.152 1935 7 21.556 0.574 0 0 21.522 0.539 18.812 0.092 1935 8 20.000 0.199 0 0 19.955 0.154 17.689 0.150 1935 9 15.389 -1.044 0 0 15.279 -1.154 13.689 -0.483 1935 10 11.667 0.608 0 0 11.510 0.451 8.894 0.097 1935 11 3.778 -0.959 0 0 3.637 -1.099 2.248 -0.227 1935 12 -0.500 -1.421 0 0 -0.603 -1.524 -1.701 -0.361 1936 1 -0.778 -0.706 0 0 -0.882 -0.811 -2.250 0.083 1936 2 1.667 -0.047 0 0 1.523 -0.190 -0.068 0.480 1936 3 6.556 2.050 0 0 6.379 1.873 3.398 1.155 1936 4 10.333 1.601 0 0 10.155 1.422 7.181 0.710 1936 5 15.333 1.662 0 0 15.189 1.517 12.279 0.869 1936 6 20.444 1.799 0 0 20.360 1.715 17.831 1.447 1936 7 21.556 0.574 0 0 21.522 0.539 18.982 0.261 1936 8 20.889 1.088 0 0 20.844 1.043 18.363 0.824 1936 9 16.000 -0.433 0 0 15.890 -0.543 13.518 -0.653 1936 10 10.667 -0.392 0 0 10.510 -0.549 8.170 -0.627 1936 11 4.222 -0.514 0 0 4.081 -0.655 2.551 0.076 1936 12 0.500 -0.421 0 0 0.397 -0.524 -0.528 0.813 1937 1 -4.667 -4.595 0 0 -4.771 -4.700 -5.743 -3.410 1937 2 1.500 -0.214 0 0 1.357 -0.357 -0.698 -0.150 1937 3 2.889 -1.617 0 0 2.712 -1.793 0.556 -1.687 1937 4 9.556 0.823 0 0 9.377 0.645 6.813 0.342 1937 5 15.556 1.884 0 0 15.411 1.739 12.246 0.836 1937 6 19.500 0.855 0 0 19.416 0.771 16.090 -0.293 1937 7 21.000 0.018 0 0 20.966 -0.016 18.751 0.030 1937 8 20.278 0.477 0 0 20.233 0.432 19.187 1.648 1937 9 16.111 -0.322 0 0 16.001 -0.432 15.368 1.196 1937 10 12.667 1.608 0 0 12.510 1.451 9.934 1.137 1937 11 8.000 3.264 0 0 7.859 3.123 3.455 0.980 1937 12 0.500 -0.421 0 0 0.397 -0.524 -0.431 0.909 1938 1 -0.389 -0.317 0 0 -0.493 -0.422 -1.783 0.551 1938 2 0.222 -1.491 0 0 0.079 -1.635 -0.029 0.519 1938 3 6.333 1.828 0 0 6.157 1.651 3.340 1.096 1938 4 9.278 0.545 0 0 9.099 0.367 6.684 0.213 1938 5 13.111 -0.561 0 0 12.966 -0.705 10.449 -0.961 1938 6 17.889 -0.756 0 0 17.805 -0.840 16.512 0.129 1938 7 19.944 -1.038 0 0 19.910 -1.072 18.096 -0.624 1938 8 20.667 0.866 0 0 20.622 0.821 18.471 0.932 1938 9 16.444 0.011 0 0 16.335 -0.099 14.324 0.153 1938 10 12.111 1.052 0 0 11.954 0.895 9.690 0.893 1938 11 2.889 -1.848 0 0 2.748 -1.988 0.834 -1.641 1938 12 -0.111 -1.032 0 0 -0.214 -1.135 0.136 1.476 1939 1 -1.556 -1.484 0 0 -1.660 -1.588 -2.585 -0.252 1939 2 -2.222 -3.936 0 0 -2.365 -4.079 -5.199 -4.651 1939 3 6.222 1.717 0 0 6.046 1.540 2.948 0.704 1939 4 9.556 0.823 0 0 9.377 0.645 7.251 0.779 1939 5 14.389 0.717 0 0 14.244 0.573 11.641 0.231 1939 6 19.222 0.577 0 0 19.138 0.493 16.899 0.516 1939 7 21.000 0.018 0 0 20.966 -0.016 18.861 0.141 1939 8 19.667 -0.134 0 0 19.622 -0.179 17.225 -0.314 1939 9 18.056 1.622 0 0 17.946 1.512 15.454 1.282 1939 10 10.167 -0.892 0 0 10.010 -1.049 8.665 -0.132 1939 11 3.444 -1.292 0 0 3.304 -1.433 2.636 0.161 1939 12 2.389 1.468 0 0 2.286 1.365 1.187 2.528 1940 1 -4.000 -3.928 0 0 -4.104 -4.033 -3.313 -0.979 1940 2 -0.278 -1.991 0 0 -0.421 -2.135 -1.259 -0.711 1940 3 5.222 0.717 0 0 5.046 0.540 3.116 0.872 1940 4 9.222 0.490 0 0 9.044 0.311 6.685 0.214 1940 5 14.556 0.884 0 0 14.411 0.739 11.715 0.305 1940 6 19.000 0.355 0 0 18.916 0.271 16.442 0.058 1940 7 21.667 0.685 0 0 21.633 0.651 19.114 0.393 1940 8 19.778 -0.023 0 0 19.733 -0.068 16.897 -0.642 1940 9 17.222 0.789 0 0 17.112 0.679 14.782 0.610 1940 10 12.278 1.219 0 0 12.121 1.062 10.259 1.462 1940 11 1.889 -2.848 0 0 1.748 -2.988 1.406 -1.069 1940 12 -3.611 -4.532 0 0 -3.714 -4.635 -0.708 0.632 1941 1 -3.667 -3.595 0 0 -3.771 -3.700 -2.397 -0.064 1941 2 2.111 0.398 0 0 1.968 0.254 0.636 1.185 1941 3 3.556 -0.950 0 0 3.379 -1.127 0.705 -1.539 1941 4 8.389 -0.344 0 0 8.211 -0.522 4.432 -2.039 1941 5 14.444 0.773 0 0 14.300 0.628 11.360 -0.050 1941 6 16.444 -2.201 0 0 16.360 -2.285 14.093 -2.290 1941 7 19.222 -1.760 0 0 19.188 -1.794 17.100 -1.620 1941 8 19.667 -0.134 0 0 19.622 -0.179 16.652 -0.887 1941 9 15.667 -0.767 0 0 15.557 -0.877 13.596 -0.575 1941 10 10.611 -0.448 0 0 10.454 -0.605 8.499 -0.298 1941 11 5.333 0.597 0 0 5.193 0.456 3.187 0.713 1941 12 2.556 1.635 0 0 2.452 1.531 0.098 1.438 1942 1 -0.722 -0.651 0 0 -0.827 -0.755 -1.738 0.596 1942 2 -0.611 -2.325 0 0 -0.754 -2.468 -3.028 -2.480 1942 3 4.778 0.272 0 0 4.601 0.096 0.325 -1.919 1942 4 10.333 1.601 0 0 10.155 1.422 6.852 0.381 1942 5 13.444 -0.227 0 0 13.300 -0.372 10.782 -0.628 1942 6 17.778 -0.867 0 0 17.694 -0.951 16.160 -0.223 1942 7 NaN NaN NaN NaN NaN NaN 18.267 -0.454 1942 8 19.722 -0.078 0 0 19.677 -0.123 17.045 -0.494 1942 9 15.778 -0.655 0 0 15.668 -0.765 13.529 -0.643 1942 10 NaN NaN NaN NaN NaN NaN 8.533 -0.264 1942 11 NaN NaN NaN NaN NaN NaN 4.733 2.258 1942 12 NaN NaN NaN NaN NaN NaN 1.190 2.531 1943 1 NaN NaN NaN NaN NaN NaN -0.726 1.607 1943 2 NaN NaN NaN NaN NaN NaN 1.748 2.297 1943 3 NaN NaN NaN NaN NaN NaN 2.270 0.026 1943 4 NaN NaN NaN NaN NaN NaN 8.937 2.466 1943 5 NaN NaN NaN NaN NaN NaN 11.274 -0.136 1943 6 NaN NaN NaN NaN NaN NaN 16.583 0.199 1943 7 NaN NaN NaN NaN NaN NaN 18.922 0.202 1943 8 NaN NaN NaN NaN NaN NaN 19.031 1.492 1943 9 NaN NaN NaN NaN NaN NaN 14.263 0.091 1943 10 9.778 -1.281 0 2 10.848 -0.211 8.404 -0.393 1943 11 NaN NaN NaN NaN NaN NaN 2.131 -0.344 1943 12 -5.538 -6.459 1 0 NaN NaN -3.950 -2.609 1944 1 -6.333 -6.262 0 0 -5.620 -5.549 -4.700 -2.367 1944 2 -0.333 -2.047 0 0 0.644 -1.069 -1.315 -0.767 1944 3 2.667 -1.839 0 0 3.872 -0.634 0.891 -1.353 1944 4 6.333 -2.399 0 0 7.551 -1.182 4.586 -1.885 1944 5 13.333 -0.338 0 0 14.321 0.649 10.426 -0.984 1944 6 18.167 -0.478 0 0 18.740 0.095 15.870 -0.513 1944 7 19.778 -1.204 0 0 20.010 -0.972 18.154 -0.566 1944 8 20.111 0.310 0 0 20.418 0.617 18.105 0.566 1944 9 16.111 -0.322 0 0 16.861 0.428 14.455 0.283 1944 10 11.111 0.052 0 0 12.181 1.122 9.724 0.927 1944 11 3.722 -1.014 0 0 4.683 -0.053 2.459 -0.016 1944 12 -1.056 -1.977 0 0 -0.351 -1.272 -1.075 0.266 1945 1 -2.667 -2.595 0 0 -1.954 -1.882 -2.101 0.232 1945 2 1.944 0.231 0 0 2.922 1.209 1.228 1.776 1945 3 4.222 -0.283 0 0 5.427 0.922 2.127 -0.117 1945 4 6.222 -2.510 0 0 7.439 -1.293 4.644 -1.827 1945 5 14.222 0.551 0 0 15.210 1.538 11.849 0.439 1945 6 17.667 -0.978 0 0 18.240 -0.405 15.067 -1.317 1945 7 20.333 -0.649 0 0 20.566 -0.416 18.646 -0.074 1945 8 20.667 0.866 0 0 20.973 1.173 18.524 0.986 1945 9 16.222 -0.211 0 0 16.972 0.539 14.387 0.215 1945 10 10.333 -0.726 0 0 11.404 0.344 9.800 1.003 1945 11 NaN NaN NaN NaN NaN NaN 3.511 1.036 1945 12 NaN NaN NaN NaN NaN NaN -1.957 -0.616 1946 1 NaN NaN NaN NaN NaN NaN -2.437 -0.104 1946 2 NaN NaN NaN NaN NaN NaN -0.220 0.328 1946 3 NaN NaN NaN NaN NaN NaN 2.983 0.739 1946 4 NaN NaN NaN NaN NaN NaN 9.701 3.230 1946 5 NaN NaN NaN NaN NaN NaN 9.974 -1.436 1946 6 NaN NaN NaN NaN NaN NaN 17.818 1.435 1946 7 NaN NaN NaN NaN NaN NaN 19.225 0.505 1946 8 NaN NaN NaN NaN NaN NaN 17.747 0.208 1946 9 NaN NaN NaN NaN NaN NaN 15.138 0.967 1946 10 NaN NaN NaN NaN NaN NaN 8.412 -0.385