% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30403 % Primary Name: CAMPANA % Record Type: TAVG % Country: United States % State: NM % Latitude: 35.51670 +/- 0.00005 % Longitude: -103.85000 +/- 0.00005 % Elevation (m): 1369.47 +/- 0.15 % # of Months: 188 % % Alternate Names: Missing Station ID - 291345 % % IDs: coop - 291345 % ghcnd - USC00291345 % ncdc - 30002460 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 6301393eaf64e15bcace78a42556cc0d % Raw Data Hash: 4e7a09306403237996f2c1b7c72093ee % Adj Data Hash: 66d6ef93468ceea220396495e43b95a6 % % 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 7 NaN NaN NaN NaN NaN NaN 22.955 -0.991 1911 8 NaN NaN NaN NaN NaN NaN 22.948 0.087 1911 9 NaN NaN NaN NaN NaN NaN 21.241 2.421 1911 10 NaN NaN NaN NaN NaN NaN 11.724 -1.122 1911 11 NaN NaN NaN NaN NaN NaN 3.866 -1.931 1911 12 NaN NaN NaN NaN NaN NaN -2.883 -4.857 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 27.155 1.175 0 0 27.002 1.023 23.483 -0.463 1912 8 26.040 1.146 0 0 25.947 1.053 22.397 -0.464 1912 9 19.610 -1.243 0 0 19.652 -1.201 16.036 -2.784 1912 10 14.289 -0.591 0 0 14.479 -0.401 12.195 -0.652 1912 11 8.117 0.286 0 0 8.415 0.585 5.753 -0.044 1912 12 1.718 -2.290 0 0 2.051 -1.957 0.266 -1.708 1913 1 0.918 -1.774 0 0 1.215 -1.477 -0.859 -1.517 1913 2 2.375 -2.467 0 0 2.614 -2.228 -0.912 -3.720 1913 3 7.134 -0.821 0 0 7.330 -0.625 4.348 -1.573 1913 4 12.985 -0.118 0 0 13.124 0.021 10.869 -0.200 1913 5 19.984 1.665 0 0 20.013 1.694 17.198 0.913 1913 6 21.800 -1.887 0 0 21.702 -1.984 19.946 -1.707 1913 7 27.282 1.302 0 0 27.130 1.150 24.243 0.296 1913 8 26.998 2.104 0 0 26.905 2.011 23.847 0.986 1913 9 18.173 -2.680 0 0 18.216 -2.637 16.302 -2.518 1913 10 12.876 -2.004 0 0 13.066 -1.814 11.377 -1.470 1913 11 8.722 0.891 0 0 9.020 1.190 8.127 2.330 1913 12 0.231 -3.777 0 0 0.564 -3.444 -1.367 -3.341 1914 1 6.939 4.247 0 0 7.236 4.544 4.551 3.893 1914 2 3.514 -1.328 0 0 3.754 -1.089 2.222 -0.587 1914 3 8.081 0.126 0 0 8.276 0.322 5.842 -0.079 1914 4 13.608 0.506 0 0 13.747 0.645 11.063 -0.006 1914 5 18.565 0.245 0 0 18.594 0.275 15.452 -0.834 1914 6 25.880 2.193 0 0 25.782 2.096 22.121 0.467 1914 7 25.073 -0.907 0 0 24.920 -1.060 22.591 -1.356 1914 8 24.547 -0.347 0 0 24.453 -0.441 21.930 -0.930 1914 9 22.530 1.677 0 0 22.572 1.719 20.114 1.294 1914 10 13.606 -1.274 0 0 13.797 -1.083 12.709 -0.137 1914 11 8.262 0.431 0 0 8.560 0.730 7.508 1.711 1914 12 -0.727 -4.735 0 0 -0.394 -4.402 -1.106 -3.079 1915 1 0.527 -2.164 0 0 0.825 -1.867 -0.486 -1.144 1915 2 4.550 -0.292 0 0 4.789 -0.053 2.957 0.148 1915 3 3.976 -3.979 0 0 4.172 -3.783 2.041 -3.880 1915 4 13.452 0.349 0 0 13.590 0.488 11.628 0.558 1915 5 16.947 -1.372 0 0 16.976 -1.343 13.671 -2.615 1915 6 23.358 -0.329 0 0 23.261 -0.426 20.107 -1.546 1915 7 24.460 -1.520 0 0 24.307 -1.673 22.057 -1.889 1915 8 22.390 -2.504 0 0 22.297 -2.597 20.272 -2.589 1915 9 20.573 -0.280 0 0 20.616 -0.237 18.429 -0.390 1915 10 13.715 -1.166 0 0 13.905 -0.975 13.043 0.197 1915 11 7.890 0.060 0 0 8.189 0.358 6.931 1.134 1915 12 3.166 -0.841 0 0 3.499 -0.508 2.491 0.518 1916 1 2.998 0.307 0 0 3.296 0.604 0.600 -0.058 1916 2 6.764 1.922 0 0 7.003 2.161 4.665 1.857 1916 3 11.721 3.767 0 0 11.917 3.962 8.985 3.064 1916 4 11.705 -1.398 0 0 11.844 -1.259 9.993 -1.076 1916 5 18.868 0.549 0 0 18.897 0.578 16.121 -0.165 1916 6 24.823 1.136 0 0 24.726 1.039 21.687 0.033 1916 7 27.518 1.538 0 0 27.365 1.385 24.239 0.293 1916 8 24.526 -0.368 0 0 24.432 -0.462 22.254 -0.607 1916 9 20.425 -0.428 0 0 20.467 -0.386 18.224 -0.596 1916 10 13.156 -1.724 0 0 13.347 -1.533 12.361 -0.485 1916 11 5.958 -1.872 0 0 6.257 -1.573 4.797 -1.000 1916 12 1.048 -2.959 0 0 1.382 -2.626 0.224 -1.750 1917 1 1.687 -1.004 0 0 1.984 -0.707 0.192 -0.466 1917 2 4.168 -0.674 0 0 4.407 -0.435 2.488 -0.321 1917 3 6.960 -0.995 0 0 7.156 -0.799 4.193 -1.728 1917 4 12.148 -0.954 0 0 12.287 -0.815 10.017 -1.052 1917 5 14.542 -3.777 0 0 14.571 -3.748 12.106 -4.180 1917 6 23.812 0.125 0 0 23.714 0.027 21.055 -0.598 1917 7 28.360 2.380 0 0 28.207 2.227 24.818 0.872 1917 8 24.315 -0.580 0 0 24.221 -0.673 21.949 -0.911 1917 9 21.083 0.230 0 0 21.126 0.273 19.136 0.316 1917 10 13.552 -1.329 0 0 13.742 -1.138 12.207 -0.639 1917 11 9.332 1.501 0 0 9.630 1.800 8.114 2.317 1917 12 4.035 0.028 0 0 4.369 0.361 3.361 1.387 1918 1 -0.874 -3.566 0 0 -0.577 -3.269 -2.899 -3.557 1918 2 6.173 1.331 0 0 6.413 1.570 4.075 1.267 1918 3 10.419 2.465 0 0 10.615 2.661 8.141 2.220 1918 4 10.767 -2.336 0 0 10.905 -2.197 9.045 -2.024 1918 5 18.837 0.518 0 0 18.866 0.547 16.246 -0.040 1918 6 26.423 2.736 0 0 26.326 2.639 23.309 1.655 1918 7 28.361 2.381 0 0 28.208 2.228 23.895 -0.051 1918 8 25.331 0.436 0 0 25.237 0.343 22.808 -0.053 1918 9 18.833 -2.020 0 0 18.876 -1.977 16.887 -1.932 1918 10 15.137 0.257 0 0 15.328 0.447 13.906 1.059 1918 11 4.675 -3.155 0 0 4.974 -2.857 3.824 -1.973 1918 12 -1.179 -5.186 0 0 -0.846 -4.853 -0.589 -2.563 1919 1 -2.184 -4.875 0 0 -1.887 -4.578 -3.108 -3.766 1919 2 3.434 -1.408 0 0 3.673 -1.169 0.721 -2.088 1919 3 7.098 -0.856 0 0 7.294 -0.660 5.019 -0.902 1919 4 12.425 -0.678 0 0 12.564 -0.539 10.760 -0.309 1919 5 16.587 -1.732 0 0 16.616 -1.703 14.797 -1.489 1919 6 20.805 -2.882 0 0 20.707 -2.979 19.156 -2.497 1919 7 25.924 -0.056 0 0 25.772 -0.208 23.157 -0.790 1919 8 24.660 -0.234 0 0 24.566 -0.328 22.808 -0.052 1919 9 21.473 0.620 0 0 21.516 0.663 19.592 0.772 1919 10 13.630 -1.250 0 0 13.820 -1.060 11.841 -1.006 1919 11 7.432 -0.399 0 0 7.730 -0.100 4.552 -1.245 1919 12 4.998 0.991 0 0 5.332 1.324 2.734 0.760 1920 1 3.108 0.417 0 0 3.405 0.714 2.532 1.874 1920 2 4.409 -0.434 0 0 4.648 -0.194 3.657 0.848 1920 3 8.898 0.944 0 0 9.094 1.140 5.410 -0.511 1920 4 11.468 -1.634 0 0 11.607 -1.495 8.204 -2.865 1920 5 19.348 1.029 0 0 19.378 1.058 15.448 -0.837 1920 6 24.363 0.676 0 0 24.266 0.579 20.287 -1.366 1920 7 25.987 0.007 0 0 25.835 -0.145 23.112 -0.835 1920 8 23.484 -1.410 0 0 23.391 -1.504 20.701 -2.159 1920 9 21.097 0.244 0 0 21.139 0.286 18.408 -0.411 1920 10 14.084 -0.796 0 0 14.274 -0.606 12.856 0.009 1920 11 5.140 -2.690 0 0 5.439 -2.392 4.598 -1.199 1920 12 2.182 -1.825 0 0 2.515 -1.492 1.713 -0.261 1921 1 3.603 0.912 0 0 3.900 1.209 2.902 2.244 1921 2 4.650 -0.192 0 0 4.889 0.047 3.438 0.629 1921 3 9.697 1.742 0 0 9.893 1.938 8.061 2.140 1921 4 10.888 -2.214 0 0 11.027 -2.075 9.591 -1.478 1921 5 17.626 -0.693 0 0 17.655 -0.664 15.626 -0.660 1921 6 20.820 -2.867 0 0 20.722 -2.964 19.668 -1.985 1921 7 23.342 -2.638 0 0 23.189 -2.790 22.342 -1.604 1921 8 24.000 -0.894 0 0 23.907 -0.988 22.433 -0.428 1921 9 22.398 1.545 0 0 22.441 1.588 20.302 1.482 1921 10 15.439 0.559 0 0 15.629 0.749 14.658 1.811 1921 11 8.687 0.856 0 0 8.985 1.155 7.757 1.960 1921 12 5.485 1.478 0 0 5.819 1.811 4.956 2.982 1922 1 -1.313 -4.005 0 0 -1.016 -3.708 -1.566 -2.224 1922 2 2.270 -2.573 1 0 NaN NaN 2.266 -0.543 1922 3 6.329 -1.625 1 0 NaN NaN 4.676 -1.244 1922 4 11.730 -1.373 0 0 11.868 -1.234 10.393 -0.676 1922 5 17.094 -1.225 0 0 17.124 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12.494 1.425 1927 5 19.648 1.329 1 0 NaN NaN 18.369 2.083 1927 6 23.658 -0.029 0 0 24.040 0.354 20.844 -0.810 1927 7 25.942 -0.038 0 0 26.540 0.560 23.277 -0.670 1927 8 24.265 -0.629 0 0 24.631 -0.264 21.107 -1.754 1927 9 20.696 -0.157 0 0 20.530 -0.323 18.280 -0.539 1927 10 15.479 0.599 0 0 14.732 -0.148 13.724 0.878 1927 11 11.012 3.181 0 0 9.841 2.010 8.899 3.103 1927 12 1.792 -2.215 0 0 0.486 -3.521 -0.280 -2.254 1928 1 4.021 1.329 0 0 2.857 0.165 2.731 2.073 1928 2 4.522 -0.320 1 0 NaN NaN 2.032 -0.777 1928 3 NaN NaN NaN NaN NaN NaN 7.086 1.166 1928 4 NaN NaN NaN NaN NaN NaN 9.604 -1.465 1928 5 NaN NaN NaN NaN NaN NaN 15.523 -0.763 1928 6 NaN NaN NaN NaN NaN NaN 20.016 -1.638 1928 7 NaN NaN NaN NaN NaN NaN 23.707 -0.239 1928 8 NaN NaN NaN NaN NaN NaN 21.620 -1.241 1928 9 NaN NaN NaN NaN NaN NaN 18.420 -0.400 1928 10 NaN NaN NaN NaN NaN NaN 13.714 0.867 1928 11 NaN NaN NaN NaN NaN NaN 4.208 -1.589 1928 12 NaN NaN NaN NaN NaN NaN 1.426 -0.548 1929 1 NaN NaN NaN NaN NaN NaN 0.393 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