% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28329 % Primary Name: PRAIRIEVIEW % Record Type: TAVG % Country: United States % State: NM % Latitude: 33.11670 +/- 0.00005 % Longitude: -103.20000 +/- 0.00005 % Elevation (m): 1220.10 +/- 0.05 % # of Months: 68 % % Alternate Names: Missing Station ID - 297054 % % IDs: coop - 297054 % ghcnd - USC00297054 % ncdc - 20020364 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 27e5ab0dcdd7670a6e7bf7419c099b8b % Raw Data Hash: 58ae7513102492309ae7961a3f8ccd9a % Adj Data Hash: 530b3d046ff0cb06fdfc360d254c9440 % % 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 1910 6 NaN NaN NaN NaN NaN NaN 26.183 0.834 1910 7 NaN NaN NaN NaN NaN NaN 27.323 0.820 1910 8 NaN NaN NaN NaN NaN NaN 26.600 0.931 1910 9 NaN NaN NaN NaN NaN NaN 23.752 1.658 1910 10 NaN NaN NaN NaN NaN NaN 16.140 -0.281 1910 11 NaN NaN NaN NaN NaN NaN 11.020 1.258 1910 12 NaN NaN NaN NaN NaN NaN 6.338 0.359 1911 1 NaN NaN NaN NaN NaN NaN 9.034 4.272 1911 2 NaN NaN NaN NaN NaN NaN 7.078 0.069 1911 3 NaN NaN NaN NaN NaN NaN 13.047 2.151 1911 4 NaN NaN NaN NaN NaN NaN 16.048 -0.065 1911 5 NaN NaN NaN NaN NaN NaN 20.315 -0.509 1911 6 25.963 1.422 1 0 NaN NaN 26.649 1.301 1911 7 24.610 -1.085 0 0 24.643 -1.052 25.417 -1.086 1911 8 25.668 0.807 0 0 25.702 0.841 26.117 0.448 1911 9 23.437 2.150 0 0 23.470 2.184 24.671 2.576 1911 10 15.406 -0.206 0 0 15.440 -0.172 16.106 -0.315 1911 11 7.193 -1.761 1 0 NaN NaN 7.867 -1.896 1911 12 2.250 -2.921 0 0 2.284 -2.887 3.420 -2.559 1912 1 3.258 -0.696 0 0 3.292 -0.662 3.605 -1.157 1912 2 3.740 -2.460 1 0 NaN NaN 4.903 -2.105 1912 3 8.264 -1.824 0 0 8.298 -1.790 8.390 -2.506 1912 4 12.880 -2.425 0 0 12.914 -2.391 14.819 -1.294 1912 5 19.931 -0.085 0 0 19.964 -0.052 20.858 0.034 1912 6 23.712 -0.829 0 0 23.745 -0.796 23.818 -1.531 1912 7 27.177 1.482 0 0 27.211 1.516 26.859 0.356 1912 8 25.742 0.881 0 0 25.776 0.915 26.135 0.466 1912 9 19.678 -1.608 0 0 19.712 -1.575 20.702 -1.392 1912 10 14.515 -1.098 0 0 14.548 -1.064 16.324 -0.096 1912 11 7.270 -1.684 1 0 NaN NaN 9.196 -0.566 1912 12 3.235 -1.935 0 0 3.269 -1.901 4.204 -1.775 1913 1 3.102 -0.852 0 0 3.135 -0.819 4.462 -0.300 1913 2 4.849 -1.351 1 0 NaN NaN 4.484 -2.524 1913 3 7.905 -2.184 0 0 7.938 -2.150 8.951 -1.945 1913 4 13.969 -1.336 0 0 14.002 -1.303 15.580 -0.533 1913 5 21.256 1.240 0 0 21.290 1.274 21.525 0.701 1913 6 21.544 -2.997 0 0 21.578 -2.963 23.226 -2.123 1913 7 25.526 -0.169 0 0 25.560 -0.136 25.898 -0.605 1913 8 25.429 0.568 0 0 25.463 0.602 25.998 0.329 1913 9 18.495 -2.792 0 0 18.529 -2.758 19.767 -2.327 1913 10 13.231 -2.382 1 0 NaN NaN 14.740 -1.680 1913 11 10.375 1.421 1 0 NaN NaN 11.604 1.841 1913 12 2.483 -2.688 0 0 2.516 -2.654 4.055 -1.924 1914 1 7.799 3.845 1 0 NaN NaN 8.932 4.170 1914 2 NaN NaN NaN NaN NaN NaN 5.893 -1.115 1914 3 8.831 -1.258 0 0 8.864 -1.224 9.859 -1.037 1914 4 14.549 -0.756 0 0 14.583 -0.722 15.739 -0.374 1914 5 19.274 -0.742 0 0 19.308 -0.708 19.154 -1.670 1914 6 24.697 0.156 0 0 24.730 0.189 24.798 -0.551 1914 7 25.258 -0.437 0 0 25.292 -0.403 25.485 -1.018 1914 8 25.494 0.633 0 0 25.527 0.666 24.902 -0.767 1914 9 23.635 2.348 0 0 23.669 2.382 22.455 0.361 1914 10 15.658 0.045 0 0 15.692 0.079 15.926 -0.495 1914 11 10.587 1.632 0 0 10.620 1.666 11.155 1.393 1914 12 1.584 -3.587 0 0 1.617 -3.553 2.953 -3.026 1915 1 3.703 -0.251 0 0 3.737 -0.217 3.904 -0.858 1915 2 NaN NaN NaN NaN NaN NaN 7.474 0.466 1915 3 5.776 -4.313 0 0 5.810 -4.279 5.822 -5.074 1915 4 15.518 0.213 1 0 NaN NaN 15.433 -0.680 1915 5 18.076 -1.940 0 0 18.110 -1.906 18.784 -2.040 1915 6 23.680 -0.861 0 0 23.714 -0.827 24.881 -0.468 1915 7 24.623 -1.072 0 0 24.657 -1.038 25.289 -1.214 1915 8 NaN NaN NaN NaN NaN NaN 23.586 -2.082 1915 9 20.282 -1.005 1 0 NaN NaN 21.882 -0.212 1915 10 14.574 -1.038 0 0 14.608 -1.005 16.301 -0.120 1915 11 9.175 0.221 0 0 9.209 0.254 11.160 1.397 1915 12 5.290 0.120 0 0 5.324 0.153 7.420 1.441 1916 1 5.794 1.839 0 0 5.827 1.873 6.363 1.601 1916 2 7.355 1.155 1 0 NaN NaN 8.614 1.605 1916 3 12.231 2.142 0 0 12.264 2.176 13.696 2.800 1916 4 13.552 -1.753 0 0 13.585 -1.719 14.535 -1.578 1916 5 19.657 -0.359 0 0 19.690 -0.326 20.871 0.047 1916 6 25.506 0.965 0 0 25.540 0.999 26.639 1.291 1916 7 25.548 -0.147 0 0 25.582 -0.113 25.890 -0.613 1916 8 23.745 -1.116 0 0 23.779 -1.082 24.804 -0.865 1916 9 NaN NaN NaN NaN NaN NaN 20.902 -1.193 1916 10 14.543 -1.070 0 0 14.576 -1.036 16.026 -0.395 1916 11 NaN NaN NaN NaN NaN NaN 8.512 -1.250 1916 12 NaN NaN NaN NaN NaN NaN 5.934 -0.045 1917 1 NaN NaN NaN NaN NaN NaN 5.140 0.378 1917 2 NaN NaN NaN NaN NaN NaN 7.360 0.351 1917 3 NaN NaN NaN NaN NaN NaN 10.161 -0.735 1917 4 NaN NaN NaN NaN NaN NaN 15.439 -0.674 1917 5 NaN NaN NaN NaN NaN NaN 17.703 -3.121 1917 6 NaN NaN NaN NaN NaN NaN 25.177 -0.172 1917 7 NaN NaN NaN NaN NaN NaN 27.251 0.748 1917 8 NaN NaN NaN NaN NaN NaN 26.027 0.358 1917 9 NaN NaN NaN NaN NaN NaN 22.164 0.069 1917 10 NaN NaN NaN NaN NaN NaN 15.505 -0.915 1917 11 NaN NaN NaN NaN NaN NaN 11.353 1.591 1917 12 NaN NaN NaN NaN NaN NaN 5.274 -0.704 1918 1 NaN NaN NaN NaN NaN NaN 1.574 -3.188 1918 2 NaN NaN NaN NaN NaN NaN 8.898 1.889 1918 3 NaN NaN NaN NaN NaN NaN 12.934 2.038 1918 4 13.138 -2.167 0 2 12.897 -2.408 14.708 -1.404 1918 5 20.214 0.198 0 0 19.973 -0.043 21.020 0.196 1918 6 25.050 0.509 0 0 24.809 0.268 26.009 0.660 1918 7 27.140 1.445 0 0 26.899 1.204 27.036 0.533 1918 8 25.452 0.591 0 0 25.210 0.349 26.086 0.418 1918 9 20.358 -0.928 0 0 20.117 -1.170 20.215 -1.880 1918 10 15.974 0.361 0 0 15.733 0.120 17.089 0.669 1918 11 NaN NaN NaN NaN NaN NaN 7.802 -1.961 1918 12 NaN NaN NaN NaN NaN NaN 3.717 -2.262 1919 1 NaN NaN NaN NaN NaN NaN 2.502 -2.260 1919 2 NaN NaN NaN NaN NaN NaN 6.357 -0.651 1919 3 NaN NaN NaN NaN NaN NaN 9.937 -0.960 1919 4 NaN NaN NaN NaN NaN NaN 15.839 -0.274 1919 5 NaN NaN NaN NaN NaN NaN 19.059 -1.764 1919 6 NaN NaN NaN NaN NaN NaN 22.350 -2.999 1919 7 NaN NaN NaN NaN NaN NaN 25.090 -1.413 1919 8 NaN NaN NaN NaN NaN NaN 26.154 0.485 1919 9 NaN NaN NaN NaN NaN NaN 21.971 -0.124 1919 10 NaN NaN NaN NaN NaN NaN 17.049 0.629