% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28123 % Primary Name: GILA PLANTING STN % Record Type: TAVG % Country: United States % State: NM % Latitude: 32.83330 +/- 0.00005 % Longitude: -108.13330 +/- 0.00005 % Elevation (m): 1972.06 +/- 0.15 % # of Months: 103 % % Alternate Names: Missing Station ID - 293533 % % IDs: coop - 293533 % ghcnd - USC00293533 % ncdc - 30002490 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 5556d32fe3690474a50d842d24e5d3e2 % Raw Data Hash: e0c241e3f6c52d37c1eeddc7ebefba45 % Adj Data Hash: 23d42d7a4165bd1eeaabeb962cf2e5ce % % 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 1909 9 NaN NaN NaN NaN NaN NaN 18.485 -0.315 1909 10 NaN NaN NaN NaN NaN NaN 13.509 0.406 1909 11 NaN NaN NaN NaN NaN NaN 8.284 1.307 1909 12 NaN NaN NaN NaN NaN NaN 0.713 -2.427 1910 1 NaN NaN NaN NaN NaN NaN 4.173 1.240 1910 2 NaN NaN NaN NaN NaN NaN 4.248 -0.424 1910 3 NaN NaN NaN NaN NaN NaN 10.581 3.193 1910 4 NaN NaN NaN NaN NaN NaN 12.371 1.051 1910 5 NaN NaN NaN NaN NaN NaN 17.146 1.276 1910 6 NaN NaN NaN NaN NaN NaN 21.607 0.480 1910 7 NaN NaN NaN NaN NaN NaN 23.800 0.596 1910 8 NaN NaN NaN NaN NaN NaN 22.928 1.071 1910 9 19.267 0.649 1 0 NaN NaN 20.648 1.849 1910 10 13.670 0.750 0 0 13.670 0.750 13.783 0.680 1910 11 9.245 2.451 0 0 9.245 2.451 8.543 1.566 1910 12 5.110 2.152 0 0 5.110 2.152 4.747 1.606 1911 1 5.758 3.007 0 0 5.758 3.007 5.890 2.957 1911 2 3.745 -0.745 0 0 3.745 -0.745 4.355 -0.316 1911 3 9.739 2.533 0 0 9.739 2.533 9.981 2.594 1911 4 11.073 -0.064 0 0 11.073 -0.064 11.313 -0.007 1911 5 16.318 0.631 0 0 16.318 0.631 15.556 -0.314 1911 6 20.202 -0.743 0 0 20.202 -0.743 20.549 -0.578 1911 7 19.944 -3.079 0 0 19.944 -3.079 21.242 -1.962 1911 8 21.594 -0.081 0 0 21.594 -0.081 22.177 0.320 1911 9 19.557 0.939 0 0 19.557 0.939 20.247 1.448 1911 10 11.953 -0.967 0 0 11.953 -0.967 12.317 -0.785 1911 11 5.693 -1.101 0 0 5.693 -1.101 5.422 -1.555 1911 12 0.408 -2.550 0 0 0.408 -2.550 -0.163 -3.303 1912 1 4.053 1.303 0 0 4.053 1.303 3.157 0.224 1912 2 4.241 -0.248 0 0 4.241 -0.248 3.850 -0.822 1912 3 6.024 -1.181 0 0 6.024 -1.181 6.692 -0.695 1912 4 7.974 -3.163 0 0 7.974 -3.163 8.481 -2.839 1912 5 14.970 -0.717 1 0 NaN NaN 14.592 -1.277 1912 6 19.917 -1.028 0 0 19.917 -1.028 20.447 -0.680 1912 7 20.856 -2.166 0 0 20.856 -2.166 21.969 -1.236 1912 8 19.524 -2.150 0 0 19.524 -2.150 20.713 -1.144 1912 9 16.987 -1.631 0 0 16.987 -1.631 17.454 -1.346 1912 10 11.566 -1.354 0 0 11.566 -1.354 11.508 -1.595 1912 11 6.874 0.080 0 0 6.874 0.080 5.719 -1.257 1912 12 1.445 -1.513 0 0 1.445 -1.513 0.476 -2.664 1913 1 0.968 -1.783 0 0 0.968 -1.783 0.614 -2.319 1913 2 2.425 -2.064 1 0 NaN NaN 2.768 -1.904 1913 3 5.040 -2.165 0 0 5.040 -2.165 5.158 -2.230 1913 4 10.482 -0.656 0 0 10.482 -0.656 10.333 -0.987 1913 5 15.805 0.118 0 0 15.805 0.118 15.019 -0.850 1913 6 19.118 -1.827 0 0 19.118 -1.827 19.566 -1.562 1913 7 21.829 -1.193 0 0 21.829 -1.193 22.518 -0.686 1913 8 20.515 -1.160 0 0 20.515 -1.160 21.204 -0.653 1913 9 15.697 -2.921 0 0 15.697 -2.921 16.827 -1.972 1913 10 13.067 0.146 0 0 13.067 0.146 12.589 -0.514 1913 11 8.259 1.464 0 0 8.259 1.464 8.451 1.474 1913 12 1.079 -1.879 0 0 1.079 -1.879 1.596 -1.544 1914 1 4.982 2.232 0 0 4.982 2.232 4.948 2.015 1914 2 4.675 0.186 0 0 4.675 0.186 4.694 0.022 1914 3 7.287 0.082 0 0 7.287 0.082 7.246 -0.141 1914 4 12.088 0.951 0 0 12.088 0.951 12.371 1.052 1914 5 16.326 0.639 0 0 16.326 0.639 15.699 -0.170 1914 6 20.472 -0.473 0 0 20.472 -0.473 20.879 -0.248 1914 7 19.513 -3.509 0 0 19.513 -3.509 20.803 -2.401 1914 8 20.173 -1.501 0 0 20.173 -1.501 21.030 -0.827 1914 9 18.050 -0.567 0 0 18.050 -0.567 18.989 0.189 1914 10 12.060 -0.861 0 0 12.060 -0.861 12.482 -0.621 1914 11 8.607 1.812 0 0 8.607 1.812 8.484 1.508 1914 12 1.487 -1.471 0 0 1.487 -1.471 2.446 -0.695 1915 1 1.171 -1.580 0 0 1.171 -1.580 1.445 -1.488 1915 2 3.376 -1.113 0 0 3.376 -1.113 3.755 -0.917 1915 3 4.939 -2.267 0 0 4.939 -2.267 5.301 -2.086 1915 4 10.222 -0.916 0 0 10.222 -0.916 10.898 -0.422 1915 5 13.795 -1.892 0 0 13.795 -1.892 13.351 -2.518 1915 6 21.035 0.090 0 0 21.035 0.090 20.448 -0.679 1915 7 21.550 -1.472 0 0 21.550 -1.472 22.331 -0.873 1915 8 19.961 -1.713 0 0 19.961 -1.713 20.597 -1.260 1915 9 17.633 -0.984 0 0 17.633 -0.984 18.036 -0.764 1915 10 13.766 0.846 0 0 13.766 0.846 13.122 0.019 1915 11 8.473 1.679 0 0 8.473 1.679 7.420 0.444 1915 12 3.569 0.611 0 0 3.569 0.611 3.248 0.107 1916 1 4.102 1.351 0 0 4.102 1.351 4.267 1.334 1916 2 7.160 2.671 0 0 7.160 2.671 7.014 2.342 1916 3 9.958 2.753 0 0 9.958 2.753 9.928 2.541 1916 4 11.432 0.294 0 0 11.432 0.294 11.618 0.299 1916 5 15.331 -0.357 0 0 15.331 -0.357 14.775 -1.095 1916 6 22.182 1.237 0 0 22.182 1.237 21.323 0.195 1916 7 21.789 -1.233 0 0 21.789 -1.233 22.454 -0.751 1916 8 19.969 -1.705 0 0 19.969 -1.705 20.837 -1.020 1916 9 16.983 -1.634 0 0 16.983 -1.634 18.184 -0.616 1916 10 12.358 -0.562 0 0 12.358 -0.562 12.925 -0.178 1916 11 7.122 0.327 0 0 7.122 0.327 6.400 -0.576 1916 12 2.044 -0.915 0 0 2.044 -0.915 2.212 -0.929 1917 1 2.495 -0.256 0 0 2.495 -0.256 2.982 0.049 1917 2 3.825 -0.664 0 0 3.825 -0.664 4.070 -0.601 1917 3 6.079 -1.126 0 0 6.079 -1.126 5.700 -1.687 1917 4 9.835 -1.302 0 0 9.835 -1.302 10.383 -0.937 1917 5 11.794 -3.894 0 0 11.794 -3.894 12.094 -3.776 1917 6 21.065 0.120 0 0 21.065 0.120 20.884 -0.243 1917 7 22.832 -0.190 0 0 22.832 -0.190 23.466 0.261 1917 8 21.010 -0.665 0 0 21.010 -0.665 21.387 -0.469 1917 9 17.817 -0.801 0 0 17.817 -0.801 18.855 0.055 1917 10 14.102 1.181 0 0 14.102 1.181 13.515 0.412 1917 11 9.712 2.917 0 0 9.712 2.917 8.333 1.356 1917 12 7.763 4.805 0 0 7.763 4.805 5.835 2.694 1918 1 1.248 -1.502 0 0 1.248 -1.502 1.727 -1.206 1918 2 5.857 1.368 0 0 5.857 1.368 5.988 1.316 1918 3 8.069 0.864 0 0 8.069 0.864 8.518 1.130 1918 4 10.450 -0.687 0 0 10.450 -0.687 11.060 -0.260 1918 5 14.008 -1.679 0 0 14.008 -1.679 13.678 -2.192 1918 6 22.063 1.118 0 0 22.063 1.118 22.447 1.320 1918 7 21.750 -1.272 0 0 21.750 -1.272 22.474 -0.730 1918 8 19.647 -2.028 0 0 19.647 -2.028 21.036 -0.820 1918 9 18.438 -0.179 0 0 18.438 -0.179 19.315 0.516 1918 10 13.321 0.401 0 0 13.321 0.401 13.652 0.549 1918 11 4.518 -2.276 0 0 4.518 -2.276 5.257 -1.719 1918 12 0.623 -2.336 0 0 0.623 -2.336 0.998 -2.142 1919 1 NaN NaN NaN NaN NaN NaN 0.571 -2.362 1919 2 1.317 -3.173 0 0 1.317 -3.173 2.173 -2.498 1919 3 NaN NaN NaN NaN NaN NaN 6.238 -1.149 1919 4 11.960 0.823 0 0 11.960 0.823 12.145 0.826 1919 5 15.027 -0.660 0 0 15.027 -0.660 15.585 -0.284 1919 6 NaN NaN NaN NaN NaN NaN 20.062 -1.065 1919 7 NaN NaN NaN NaN NaN NaN 21.786 -1.418 1919 8 NaN NaN NaN NaN NaN NaN 21.613 -0.243 1919 9 NaN NaN NaN NaN NaN NaN 18.450 -0.350 1919 10 NaN NaN NaN NaN NaN NaN 12.121 -0.982 1919 11 NaN NaN NaN NaN NaN NaN 6.974 -0.003 1919 12 NaN NaN NaN NaN NaN NaN 5.210 2.070 1920 1 NaN NaN NaN NaN NaN NaN 3.932 0.999 1920 2 NaN NaN NaN NaN NaN NaN 6.938 2.267 1920 3 NaN NaN NaN NaN NaN NaN 6.634 -0.753 1920 4 NaN NaN NaN NaN NaN NaN 9.134 -2.186 1920 5 NaN NaN NaN NaN NaN NaN 15.321 -0.548