% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29731 % Primary Name: TAJIQUE NEAR % Record Type: TAVG % Country: United States % State: NM % Latitude: 34.76670 +/- 0.00005 % Longitude: -106.43330 +/- 0.00005 % Elevation (m): 2804.16 +/- 0.15 % # of Months: 70 % % Alternate Names: Missing Station ID - 298652 % % IDs: coop - 298652 % ghcnd - USC00298652 % ncdc - 12003727 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 2f96dea20daca3ff856233b8045b4fcf % Raw Data Hash: 66b5f2e1ffc7465650d6289e8b0f8680 % Adj Data Hash: bb307cd539e0fd59ee4ad158fb85ce6e % % 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 2 NaN NaN NaN NaN NaN NaN 1.689 -0.700 1912 3 NaN NaN NaN NaN NaN NaN 5.574 -0.414 1912 4 NaN NaN NaN NaN NaN NaN 8.029 -2.409 1912 5 NaN NaN NaN NaN NaN NaN 14.710 -0.710 1912 6 NaN NaN NaN NaN NaN NaN 19.249 -1.467 1912 7 NaN NaN NaN NaN NaN NaN 22.043 -1.102 1912 8 NaN NaN NaN NaN NaN NaN 20.821 -0.850 1912 9 NaN NaN NaN NaN NaN NaN 15.994 -1.874 1912 10 NaN NaN NaN NaN NaN NaN 10.347 -1.182 1912 11 NaN NaN NaN NaN NaN NaN 3.694 -0.886 1912 12 NaN NaN NaN NaN NaN NaN -2.930 -3.082 1913 1 NaN NaN NaN NaN NaN NaN -2.816 -2.700 1913 2 -4.804 -1.387 1 0 NaN NaN 0.642 -1.747 1913 3 -3.165 -3.346 0 0 -3.165 -3.346 3.794 -2.194 1913 4 4.241 -0.390 0 0 4.241 -0.390 9.693 -0.745 1913 5 9.928 0.314 0 0 9.928 0.314 15.148 -0.273 1913 6 12.537 -2.372 0 0 12.537 -2.372 19.229 -1.487 1913 7 16.147 -1.191 0 0 16.147 -1.191 22.523 -0.622 1913 8 14.495 -1.369 1 0 NaN NaN 21.429 -0.242 1913 9 9.426 -2.635 0 0 9.426 -2.635 16.015 -1.853 1913 10 5.394 -0.328 0 0 5.394 -0.328 10.845 -0.684 1913 11 1.722 2.949 0 0 1.722 2.949 6.611 2.031 1913 12 -5.627 0.028 0 0 -5.627 0.028 -2.046 -2.197 1914 1 -1.559 4.364 0 0 -1.559 4.364 2.420 2.536 1914 2 -3.492 -0.075 0 0 -3.492 -0.075 2.313 -0.076 1914 3 -0.179 -0.360 0 0 -0.179 -0.360 5.821 -0.167 1914 4 4.963 0.332 0 0 4.963 0.332 10.946 0.508 1914 5 9.715 0.101 0 0 9.715 0.101 15.125 -0.296 1914 6 14.519 -0.390 0 0 14.519 -0.390 20.608 -0.108 1914 7 13.656 -3.682 0 0 13.656 -3.682 21.119 -2.026 1914 8 14.122 -1.742 0 0 14.122 -1.742 20.922 -0.749 1914 9 12.502 0.441 0 0 12.502 0.441 18.371 0.503 1914 10 5.315 -0.408 0 0 5.315 -0.408 11.144 -0.386 1914 11 2.704 3.930 0 0 2.704 3.930 6.171 1.591 1914 12 -5.609 0.046 0 0 -5.609 0.046 -1.362 -1.514 1915 1 -6.667 -0.743 0 0 -6.667 -0.743 -2.047 -1.931 1915 2 -4.286 -0.868 0 0 -4.286 -0.868 1.458 -0.932 1915 3 -3.369 -3.550 0 0 -3.369 -3.550 3.653 -2.335 1915 4 3.793 -0.838 0 0 3.793 -0.838 10.408 -0.030 1915 5 7.384 -2.230 0 0 7.384 -2.230 12.938 -2.483 1915 6 14.556 -0.353 0 0 14.556 -0.353 20.054 -0.661 1915 7 15.197 -2.141 0 0 15.197 -2.141 22.160 -0.985 1915 8 13.208 -2.656 0 0 13.208 -2.656 20.341 -1.330 1915 9 10.556 -1.505 0 0 10.556 -1.505 17.096 -0.772 1915 10 6.942 1.219 0 0 6.942 1.219 11.359 -0.170 1915 11 1.167 2.393 0 0 1.167 2.393 4.947 0.366 1915 12 -3.130 2.526 0 0 -3.130 2.526 0.743 0.592 1916 1 -3.539 2.384 0 0 -3.539 2.384 1.336 1.452 1916 2 -0.145 3.272 1 0 NaN NaN 4.360 1.971 1916 3 1.595 1.414 0 0 1.595 1.414 8.266 2.278 1916 4 3.519 -1.113 0 0 3.519 -1.113 10.568 0.130 1916 5 9.921 0.307 0 0 9.921 0.307 14.533 -0.888 1916 6 15.407 0.498 0 0 15.407 0.498 20.727 0.012 1916 7 15.072 -2.266 0 0 15.072 -2.266 22.383 -0.762 1916 8 13.574 -2.290 0 0 13.574 -2.290 20.609 -1.061 1916 9 11.238 -0.823 0 0 11.238 -0.823 17.587 -0.280 1916 10 5.878 0.155 0 0 5.878 0.155 11.618 0.089 1916 11 0.926 2.153 0 0 0.926 2.153 4.282 -0.298 1916 12 -5.571 0.084 0 0 -5.571 0.084 -0.729 -0.881 1917 1 -5.161 0.762 0 0 -5.161 0.762 -0.574 -0.457 1917 2 -3.601 -0.184 0 0 -3.601 -0.184 1.778 -0.612 1917 3 -2.025 -2.206 0 0 -2.025 -2.206 3.751 -2.237 1917 4 2.337 -2.294 0 0 2.337 -2.294 9.085 -1.353 1917 5 5.896 -3.718 0 0 5.896 -3.718 11.216 -4.205 1917 6 14.167 -0.742 0 0 14.167 -0.742 19.810 -0.906 1917 7 16.786 -0.552 0 0 16.786 -0.552 23.476 0.331 1917 8 14.943 -0.921 0 0 14.943 -0.921 21.360 -0.311 1917 9 10.978 -1.083 0 0 10.978 -1.083 18.069 0.201 1917 10 NaN NaN NaN NaN NaN NaN 11.960 0.430 1917 11 NaN NaN NaN NaN NaN NaN 6.490 1.910 1917 12 NaN NaN NaN NaN NaN NaN 3.395 3.244 1918 1 NaN NaN NaN NaN NaN NaN -1.647 -1.531 1918 2 NaN NaN NaN NaN NaN NaN 3.696 1.307 1918 3 0.190 0.009 0 0 0.190 0.009 7.465 1.477 1918 4 2.167 -2.464 0 0 2.167 -2.464 9.657 -0.781 1918 5 NaN NaN NaN NaN NaN NaN 13.871 -1.550 1918 6 15.131 0.222 0 0 15.131 0.222 21.917 1.201 1918 7 15.231 -2.107 0 0 15.231 -2.107 22.457 -0.687 1918 8 14.377 -1.487 0 0 14.377 -1.487 21.077 -0.594 1918 9 11.718 -0.343 0 0 11.718 -0.343 17.901 0.033 1918 10 6.431 0.708 0 0 6.431 0.708 12.086 0.557 1918 11 -2.030 -0.803 0 0 -2.030 -0.803 2.822 -1.758 1918 12 -7.305 -1.650 0 0 -7.305 -1.650 -2.249 -2.401 1919 1 -6.050 -0.127 0 0 -6.050 -0.127 -3.445 -3.328 1919 2 -6.954 -3.536 0 0 -6.954 -3.536 -0.161 -2.550 1919 3 -2.292 -2.473 0 0 -2.292 -2.473 4.497 -1.491 1919 4 3.660 -0.971 0 0 3.660 -0.971 10.621 0.183 1919 5 9.037 -0.577 0 0 9.037 -0.577 15.003 -0.417 1919 6 NaN NaN NaN NaN NaN NaN 19.007 -1.709 1919 7 NaN NaN NaN NaN NaN NaN 22.030 -1.115 1919 8 NaN NaN NaN NaN NaN NaN 21.491 -0.180 1919 9 NaN NaN NaN NaN NaN NaN 17.942 0.075 1919 10 NaN NaN NaN NaN NaN NaN 10.649 -0.880 1919 11 NaN NaN NaN NaN NaN NaN 4.503 -0.077 1919 12 NaN NaN NaN NaN NaN NaN 1.738 1.587 1920 1 NaN NaN NaN NaN NaN NaN 1.304 1.420 1920 2 NaN NaN NaN NaN NaN NaN 4.528 2.139 1920 3 NaN NaN NaN NaN NaN NaN 4.709 -1.279 1920 4 NaN NaN NaN NaN NaN NaN 7.848 -2.589 1920 5 NaN NaN NaN NaN NaN NaN 14.948 -0.473