% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31278 % Primary Name: TAOS PUEBLO % Record Type: TAVG % Country: United States % State: NM % Latitude: 36.42140 +/- 0.00005 % Longitude: -105.56330 +/- 0.00005 % Elevation (m): 2130.55 +/- 0.15 % # of Months: 48 % % Alternate Names: Missing Station ID - 298680 % % IDs: coop - 298680 % ghcnd - USC00298680 % ncdc - 30001489 % nws - TPBN5 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: acdad2df0795c3fbc0d9f57786fc6db9 % Raw Data Hash: a89a1e4b168d086ff68a970c21fda3ae % Adj Data Hash: b4ecb195be04bd81dd0aee8c92fbd59e % % 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 2003 3 NaN NaN NaN NaN NaN NaN 2.812 0.568 2003 4 NaN NaN NaN NaN NaN NaN 7.116 0.645 2003 5 NaN NaN NaN NaN NaN NaN 12.508 1.098 2003 6 NaN NaN NaN NaN NaN NaN 15.899 -0.485 2003 7 NaN NaN NaN NaN NaN NaN 21.212 2.492 2003 8 NaN NaN NaN NaN NaN NaN 18.616 1.077 2003 9 NaN NaN NaN NaN NaN NaN 14.592 0.421 2003 10 NaN NaN NaN NaN NaN NaN 11.436 2.638 2003 11 NaN NaN NaN NaN NaN NaN 2.933 0.459 2003 12 NaN NaN NaN NaN NaN NaN -0.072 1.268 2004 1 NaN NaN NaN NaN NaN NaN -0.966 1.367 2004 2 NaN NaN NaN NaN NaN NaN -2.975 -2.427 2004 3 5.000 3.689 0 0 5.000 3.689 5.572 3.328 2004 4 6.611 1.073 0 0 6.611 1.073 6.279 -0.192 2004 5 11.167 0.690 0 0 11.167 0.690 12.766 1.356 2004 6 16.500 1.050 0 0 16.500 1.050 16.699 0.316 2004 7 17.264 -0.523 1 0 NaN NaN 18.321 -0.399 2004 8 NaN NaN NaN NaN NaN NaN 16.538 -1.001 2004 9 12.778 -0.461 0 0 12.778 -0.461 14.172 0.001 2004 10 7.556 -0.309 0 0 7.556 -0.309 8.589 -0.208 2004 11 1.611 0.069 0 0 1.611 0.069 2.218 -0.257 2004 12 -3.667 -1.393 0 0 -3.667 -1.393 -0.363 0.977 2005 1 0.000 3.266 0 0 0.000 3.266 1.485 3.819 2005 2 0.056 1.537 0 0 0.056 1.537 0.698 1.246 2005 3 1.278 -0.033 0 0 1.278 -0.033 1.149 -1.094 2005 4 6.111 0.573 0 0 6.111 0.573 6.679 0.208 2005 5 11.778 1.301 0 0 11.778 1.301 11.725 0.315 2005 6 15.000 -0.450 0 0 15.000 -0.450 16.419 0.036 2005 7 19.278 1.490 0 0 19.278 1.490 19.769 1.049 2005 8 18.547 1.941 1 0 NaN NaN 17.205 -0.334 2005 9 NaN NaN NaN NaN NaN NaN 15.505 1.333 2005 10 NaN NaN NaN NaN NaN NaN 9.390 0.593 2005 11 NaN NaN NaN NaN NaN NaN 4.260 1.785 2005 12 NaN NaN NaN NaN NaN NaN -0.388 0.953 2006 1 -3.111 0.155 0 0 -3.111 0.155 0.089 2.422 2006 2 -1.121 0.360 1 0 NaN NaN 0.539 1.087 2006 3 3.000 1.689 0 0 3.000 1.689 2.846 0.602 2006 4 8.611 3.073 0 0 8.611 3.073 9.028 2.557 2006 5 13.722 3.245 0 0 13.722 3.245 13.488 2.078 2006 6 17.500 2.050 0 0 17.500 2.050 18.365 1.981 2006 7 19.167 1.379 0 0 19.167 1.379 19.438 0.718 2006 8 17.833 1.227 0 0 17.833 1.227 17.272 -0.267 2006 9 12.000 -1.239 0 0 12.000 -1.239 12.124 -2.047 2006 10 7.771 -0.093 1 0 NaN NaN 8.684 -0.113 2006 11 2.756 1.214 1 0 NaN NaN 3.972 1.497 2006 12 NaN NaN NaN NaN NaN NaN -1.303 0.037 2007 1 NaN NaN NaN NaN NaN NaN -4.049 -1.716 2007 2 NaN NaN NaN NaN NaN NaN 0.241 0.789 2007 3 NaN NaN NaN NaN NaN NaN 4.475 2.231 2007 4 NaN NaN NaN NaN NaN NaN 6.392 -0.079 2007 5 NaN NaN NaN NaN NaN NaN 10.963 -0.447 2007 6 NaN NaN NaN NaN NaN NaN 16.431 0.048 2007 7 18.664 0.877 1 0 NaN NaN 19.054 0.334 2007 8 18.889 2.283 0 0 18.889 2.283 19.363 1.824 2007 9 14.735 1.496 1 0 NaN NaN 15.466 1.294 2007 10 8.556 0.691 0 0 8.556 0.691 10.172 1.374 2007 11 2.556 1.014 0 0 2.556 1.014 4.594 2.119 2007 12 -4.278 -2.004 0 0 -4.278 -2.004 -2.046 -0.705 2008 1 -6.611 -3.345 0 0 -6.611 -3.345 -3.942 -1.609 2008 2 NaN NaN NaN NaN NaN NaN -0.020 0.529 2008 3 NaN NaN NaN NaN NaN NaN 2.286 0.042 2008 4 6.000 0.462 0 0 6.000 0.462 6.347 -0.124 2008 5 11.278 0.801 0 0 11.278 0.801 10.946 -0.464 2008 6 17.333 1.883 0 0 17.333 1.883 17.385 1.002 2008 7 18.389 0.602 0 0 18.389 0.602 18.667 -0.053 2008 8 17.667 1.061 0 0 17.667 1.061 17.727 0.188 2008 9 13.444 0.206 0 0 13.444 0.206 14.202 0.031 2008 10 8.611 0.747 0 0 8.611 0.747 9.699 0.902 2008 11 2.278 0.736 0 0 2.278 0.736 3.863 1.388 2008 12 -3.278 -1.004 0 0 -3.278 -1.004 -0.614 0.727 2009 1 -4.389 -1.123 0 0 -4.389 -1.123 0.050 2.383 2009 2 -0.111 1.370 0 0 -0.111 1.370 1.440 1.988 2009 3 4.111 2.800 0 0 4.111 2.800 3.852 1.608 2009 4 5.889 0.351 0 0 5.889 0.351 6.149 -0.322 2009 5 NaN NaN NaN NaN NaN NaN 12.948 1.538 2009 6 NaN NaN NaN NaN NaN NaN 15.695 -0.688 2009 7 NaN NaN NaN NaN NaN NaN 19.504 0.784 2009 8 NaN NaN NaN NaN NaN NaN 17.818 0.279 2009 9 NaN NaN NaN NaN NaN NaN 13.623 -0.548 2009 10 NaN NaN NaN NaN NaN NaN 7.432 -1.365 2009 11 NaN NaN NaN NaN NaN NaN 4.426 1.951 2009 12 NaN NaN NaN NaN NaN NaN -3.676 -2.335 2010 1 NaN NaN NaN NaN NaN NaN -1.637 0.696 2010 2 NaN NaN NaN NaN NaN NaN -2.715 -2.167 2010 3 NaN NaN NaN NaN NaN NaN 1.553 -0.691 2010 4 NaN NaN NaN NaN NaN NaN 7.120 0.649