% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31590 % Primary Name: JOHNSONS PARK % Record Type: TAVG % Country: United States % State: NM % Latitude: 36.80000 +/- 0.00500 % Longitude: -104.25000 +/- 0.00500 % Elevation (m): 1996.44 +/- 0.15 % # of Months: 100 % % Alternate Names: Missing Station ID - 294396 % % IDs: coop - 294396 % ghcnd - USC00294396 % ncdc - 30002665 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: bdef9d25911ce261aa5e7a0cba0cf96d % Raw Data Hash: 279937b2418032476f8b167ec6ce8579 % Adj Data Hash: 1dc7d8e5292d3312d22aa19b4adfc904 % % 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 1912 1 NaN NaN NaN NaN NaN NaN -1.370 -2.028 1912 2 NaN NaN NaN NaN NaN NaN 0.121 -2.688 1912 3 NaN NaN NaN NaN NaN NaN 2.361 -3.560 1912 4 NaN NaN NaN NaN NaN NaN 9.634 -1.435 1912 5 NaN NaN NaN NaN NaN NaN 15.412 -0.874 1912 6 NaN NaN NaN NaN NaN NaN 18.991 -2.663 1912 7 NaN NaN NaN NaN NaN NaN 23.483 -0.463 1912 8 NaN NaN NaN NaN NaN NaN 22.397 -0.464 1912 9 NaN NaN NaN NaN NaN NaN 16.036 -2.784 1912 10 NaN NaN NaN NaN NaN NaN 12.195 -0.652 1912 11 NaN NaN NaN NaN NaN NaN 5.753 -0.044 1912 12 NaN NaN NaN NaN NaN NaN 0.266 -1.708 1913 1 -3.692 -1.752 0 0 -2.616 -0.676 -0.859 -1.517 1913 2 -2.755 -2.966 0 0 -2.208 -2.418 -0.912 -3.720 1913 3 2.019 -1.303 0 0 2.330 -0.993 4.348 -1.573 1913 4 7.442 -1.029 0 0 8.026 -0.445 10.869 -0.200 1913 5 13.315 -0.373 0 0 13.962 0.275 17.198 0.913 1913 6 15.352 -3.704 0 0 15.545 -3.510 19.946 -1.707 1913 7 19.761 -1.587 0 0 19.663 -1.685 24.243 0.296 1913 8 19.942 -0.321 0 0 20.131 -0.131 23.847 0.986 1913 9 13.768 -2.453 0 0 14.325 -1.897 16.302 -2.518 1913 10 8.115 -2.134 0 0 8.767 -1.481 11.377 -1.470 1913 11 6.472 3.273 0 0 7.301 4.102 8.127 2.330 1913 12 -2.729 -2.105 0 0 -1.574 -0.950 -1.367 -3.341 1914 1 1.398 3.339 0 0 2.475 4.415 4.551 3.893 1914 2 -0.180 -0.391 0 0 0.367 0.157 2.222 -0.587 1914 3 3.521 0.198 0 0 3.831 0.508 5.842 -0.079 1914 4 7.592 -0.879 0 0 8.176 -0.295 11.063 -0.006 1914 5 12.303 -1.384 0 0 12.951 -0.737 15.452 -0.834 1914 6 17.493 -1.562 0 0 17.686 -1.369 22.121 0.467 1914 7 NaN NaN NaN NaN NaN NaN 22.591 -1.356 1914 8 17.823 -2.440 0 0 18.012 -2.250 21.930 -0.930 1914 9 15.480 -0.741 0 0 16.036 -0.185 20.114 1.294 1914 10 9.148 -1.100 0 0 9.801 -0.447 12.709 -0.137 1914 11 4.598 1.400 0 0 5.428 2.229 7.508 1.711 1914 12 -4.023 -3.398 0 0 -2.868 -2.244 -1.106 -3.079 1915 1 -3.315 -1.374 0 0 -2.238 -0.298 -0.486 -1.144 1915 2 -1.360 -1.571 1 0 NaN NaN 2.957 0.148 1915 3 2.091 -1.232 1 0 NaN NaN 2.041 -3.880 1915 4 6.913 -1.558 1 0 NaN NaN 11.628 0.558 1915 5 11.345 -2.342 1 0 NaN NaN 13.671 -2.615 1915 6 11.530 -7.525 1 0 NaN NaN 20.107 -1.546 1915 7 20.963 -0.385 1 0 NaN NaN 22.057 -1.889 1915 8 16.772 -3.490 1 0 NaN NaN 20.272 -2.589 1915 9 16.265 0.044 0 4 16.056 -0.165 18.429 -0.390 1915 10 NaN NaN NaN NaN NaN NaN 13.043 0.197 1915 11 NaN NaN NaN NaN NaN NaN 6.931 1.134 1915 12 NaN NaN NaN NaN NaN NaN 2.491 0.518 1916 1 NaN NaN NaN NaN NaN NaN 0.600 -0.058 1916 2 4.861 4.651 1 0 NaN NaN 4.665 1.857 1916 3 7.273 3.950 0 0 7.156 3.833 8.985 3.064 1916 4 8.488 0.017 0 0 8.269 -0.202 9.993 -1.076 1916 5 14.119 0.432 0 0 13.876 0.189 16.121 -0.165 1916 6 NaN NaN NaN NaN NaN NaN 21.687 0.033 1916 7 NaN NaN NaN NaN NaN NaN 24.239 0.293 1916 8 NaN NaN NaN NaN NaN NaN 22.254 -0.607 1916 9 NaN NaN NaN NaN NaN NaN 18.224 -0.596 1916 10 NaN NaN NaN NaN NaN NaN 12.361 -0.485 1916 11 NaN NaN NaN NaN NaN NaN 4.797 -1.000 1916 12 NaN NaN NaN NaN NaN NaN 0.224 -1.750 1917 1 NaN NaN NaN NaN NaN NaN 0.192 -0.466 1917 2 NaN NaN NaN NaN NaN NaN 2.488 -0.321 1917 3 0.538 -2.784 0 0 0.422 -2.901 4.193 -1.728 1917 4 NaN NaN NaN NaN NaN NaN 10.017 -1.052 1917 5 NaN NaN NaN NaN NaN NaN 12.106 -4.180 1917 6 NaN NaN NaN NaN NaN NaN 21.055 -0.598 1917 7 NaN NaN NaN NaN NaN NaN 24.818 0.872 1917 8 NaN NaN NaN NaN NaN NaN 21.949 -0.911 1917 9 14.964 -1.258 1 0 NaN NaN 19.136 0.316 1917 10 NaN NaN NaN NaN NaN NaN 12.207 -0.639 1917 11 6.850 3.651 0 0 6.539 3.340 8.114 2.317 1917 12 4.055 4.679 0 0 3.622 4.246 3.361 1.387 1918 1 -2.955 -1.015 0 0 -3.358 -1.418 -2.899 -3.557 1918 2 NaN NaN NaN NaN NaN NaN 4.075 1.267 1918 3 NaN NaN NaN NaN NaN NaN 8.141 2.220 1918 4 NaN NaN NaN NaN NaN NaN 9.045 -2.024 1918 5 NaN NaN NaN NaN NaN NaN 16.246 -0.040 1918 6 NaN NaN NaN NaN NaN NaN 23.309 1.655 1918 7 NaN NaN NaN NaN NaN NaN 23.895 -0.051 1918 8 NaN NaN NaN NaN NaN NaN 22.808 -0.053 1918 9 NaN NaN NaN NaN NaN NaN 16.887 -1.932 1918 10 NaN NaN NaN NaN NaN NaN 13.906 1.059 1918 11 2.250 -0.949 0 0 1.939 -1.260 3.824 -1.973 1918 12 -1.032 -0.408 0 0 -1.465 -0.841 -0.589 -2.563 1919 1 -1.694 0.247 0 0 -2.097 -0.157 -3.108 -3.766 1919 2 -1.000 -1.211 0 0 -1.205 -1.416 0.721 -2.088 1919 3 3.097 -0.226 0 0 2.980 -0.342 5.019 -0.902 1919 4 9.272 0.801 0 0 9.053 0.582 10.760 -0.309 1919 5 12.969 -0.718 0 0 12.726 -0.961 14.797 -1.489 1919 6 16.592 -2.464 0 0 16.519 -2.536 19.156 -2.497 1919 7 20.566 -0.782 0 0 20.603 -0.745 23.157 -0.790 1919 8 19.256 -1.006 0 0 19.185 -1.077 22.808 -0.052 1919 9 16.483 0.262 0 0 16.275 0.053 19.592 0.772 1919 10 9.015 -1.234 0 0 8.770 -1.479 11.841 -1.006 1919 11 2.208 -0.990 0 0 1.897 -1.302 4.552 -1.245 1919 12 1.034 1.658 0 0 0.601 1.225 2.734 0.760 1920 1 1.526 3.466 0 0 1.122 3.062 2.532 1.874 1920 2 NaN NaN NaN NaN NaN NaN 3.657 0.848 1920 3 1.542 -1.781 0 0 1.426 -1.897 5.410 -0.511 1920 4 4.407 -4.064 0 0 4.188 -4.283 8.204 -2.865 1920 5 11.861 -1.826 0 0 11.618 -2.069 15.448 -0.837 1920 6 15.083 -3.972 1 0 NaN NaN 20.287 -1.366 1920 7 18.121 -3.227 0 0 18.158 -3.190 23.112 -0.835 1920 8 15.694 -4.569 0 0 15.622 -4.640 20.701 -2.159 1920 9 13.472 -2.750 0 0 13.263 -2.958 18.408 -0.411 1920 10 7.921 -2.328 0 0 7.676 -2.572 12.856 0.009 1920 11 0.992 -2.207 0 0 0.681 -2.518 4.598 -1.199 1920 12 -2.595 -1.971 0 0 -3.028 -2.404 1.713 -0.261 1921 1 -1.369 0.571 0 0 -1.773 0.167 2.902 2.244 1921 2 -1.461 -1.671 0 0 -1.666 -1.877 3.438 0.629 1921 3 3.218 -0.105 0 0 3.101 -0.221 8.061 2.140 1921 4 6.718 -1.753 0 0 6.499 -1.972 9.591 -1.478 1921 5 12.818 -0.870 0 0 12.575 -1.113 15.626 -0.660 1921 6 15.732 -3.324 0 0 15.659 -3.396 19.668 -1.985 1921 7 17.452 -3.897 0 0 17.489 -3.860 22.342 -1.604 1921 8 21.044 0.781 0 0 20.972 0.710 22.433 -0.428 1921 9 17.918 1.697 0 0 17.710 1.488 20.302 1.482 1921 10 12.918 2.669 0 0 12.673 2.424 14.658 1.811 1921 11 6.487 3.288 0 0 6.176 2.977 7.757 1.960 1921 12 2.311 2.936 0 0 1.878 2.503 4.956 2.982 1922 1 -4.290 -2.350 0 0 -4.694 -2.754 -1.566 -2.224 1922 2 0.462 0.252 0 0 0.257 0.047 2.266 -0.543 1922 3 4.397 1.074 0 0 4.280 0.958 4.676 -1.244 1922 4 9.153 0.682 0 0 8.934 0.463 10.393 -0.676 1922 5 13.784 0.096 0 0 13.541 -0.147 15.591 -0.694 1922 6 20.045 0.990 0 0 19.973 0.917 21.880 0.227 1922 7 22.356 1.008 0 0 22.393 1.045 24.042 0.095 1922 8 22.450 2.188 0 0 22.379 2.116 24.380 1.519 1922 9 18.543 2.322 0 0 18.335 2.113 20.326 1.506 1922 10 11.815 1.566 0 0 11.570 1.321 13.316 0.469 1922 11 3.123 -0.075 0 0 2.812 -0.387 5.269 -0.528 1922 12 0.911 1.536 1 0 NaN NaN 3.945 1.971 1923 1 0.842 2.782 0 0 0.438 2.379 4.367 3.709 1923 2 -0.421 -0.632 0 0 -0.627 -0.837 0.794 -2.014 1923 3 2.250 -1.073 0 0 2.134 -1.189 3.553 -2.368 1923 4 9.010 0.539 0 0 8.791 0.320 10.644 -0.425 1923 5 14.329 0.642 0 0 14.086 0.399 15.359 -0.927 1923 6 19.057 0.001 0 0 18.984 -0.071 21.093 -0.561 1923 7 22.000 0.652 1 0 NaN NaN 23.813 -0.133 1923 8 19.198 -1.064 0 0 19.127 -1.135 22.198 -0.662 1923 9 15.605 -0.616 0 0 15.396 -0.825 17.895 -0.924 1923 10 7.837 -2.411 0 0 7.592 -2.656 10.244 -2.602 1923 11 NaN NaN NaN NaN NaN NaN 5.385 -0.412 1923 12 NaN NaN NaN NaN NaN NaN -0.165 -2.139 1924 1 NaN NaN NaN NaN NaN NaN -0.668 -1.326 1924 2 NaN NaN NaN NaN NaN NaN 3.475 0.666 1924 3 NaN NaN NaN NaN NaN NaN 1.040 -4.881 1924 4 NaN NaN NaN NaN NaN NaN 10.412 -0.658 1924 5 NaN NaN NaN NaN NaN NaN 13.709 -2.576 1924 6 NaN NaN NaN NaN NaN NaN 22.746 1.093 1924 7 NaN NaN NaN NaN NaN NaN 22.774 -1.172 1924 8 NaN NaN NaN NaN NaN NaN 23.070 0.209 1924 9 NaN NaN NaN NaN NaN NaN 18.134 -0.685 1924 10 NaN NaN NaN NaN NaN NaN 13.716 0.869