% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29496 % Primary Name: MOUNTAINAIR 2 WSW % Record Type: TAVG % Country: United States % State: NM % Latitude: 34.51690 +/- 0.00005 % Longitude: -106.27030 +/- 0.00005 % Elevation (m): 1977.85 +/- 0.15 % # of Months: 42 % % IDs: coop - 295966 % ghcnd - USW00003097 % gsod - 999999-03097 % icao - 72CC % ncdc - 30015641 % nws - MNRN5 % wban - 3097 % % Sources: Global Historical Climatology Network - Daily % Global Summary of the Day % Multi-network Metadata System % % Site Hash: 3f9b375c40d1be697de16f298e226754 % Raw Data Hash: e57b49d4e14e4e28727c9137683ce878 % Adj Data Hash: 68ad46cc6397442c5793d736affd265c % % 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 2009 6 NaN NaN NaN NaN NaN NaN 20.031 -0.685 2009 7 NaN NaN NaN NaN NaN NaN 24.325 1.180 2009 8 NaN NaN NaN NaN NaN NaN 22.184 0.513 2009 9 NaN NaN NaN NaN NaN NaN 17.647 -0.220 2009 10 NaN NaN NaN NaN NaN NaN 10.971 -0.559 2009 11 NaN NaN NaN NaN NaN NaN 5.568 0.988 2009 12 NaN NaN NaN NaN NaN NaN -1.219 -1.371 2010 1 NaN NaN NaN NaN NaN NaN -0.329 -0.213 2010 2 NaN NaN NaN NaN NaN NaN 1.378 -1.011 2010 3 NaN NaN NaN NaN NaN NaN 5.077 -0.911 2010 4 NaN NaN NaN NaN NaN NaN 10.898 0.460 2010 5 NaN NaN NaN NaN NaN NaN 14.878 -0.542 2010 6 19.167 -0.619 1 0 NaN NaN 22.556 1.840 2010 7 21.589 -0.625 0 0 21.589 -0.625 23.596 0.451 2010 8 21.150 0.410 0 0 21.150 0.410 22.079 0.408 2010 9 19.297 2.359 0 0 19.297 2.359 20.290 2.422 2010 10 12.297 1.698 0 0 12.297 1.698 13.277 1.747 2010 11 4.028 0.379 0 0 4.028 0.379 4.210 -0.370 2010 12 3.532 4.311 0 0 3.532 4.311 3.428 3.276 2011 1 -0.006 1.040 0 0 -0.006 1.040 -0.189 -0.073 2011 2 -1.211 -2.670 0 0 -1.211 -2.670 0.304 -2.086 2011 3 8.610 3.552 0 0 8.610 3.552 8.763 2.775 2011 4 11.905 2.398 0 0 11.905 2.398 12.658 2.220 2011 5 13.605 -0.885 0 0 13.605 -0.885 14.359 -1.062 2011 6 21.818 2.033 0 0 21.818 2.033 22.619 1.904 2011 7 22.940 0.726 0 0 22.940 0.726 24.645 1.501 2011 8 22.391 1.650 0 0 22.391 1.650 23.884 2.213 2011 9 17.093 0.156 0 0 17.093 0.156 18.610 0.742 2011 10 11.335 0.736 0 0 11.335 0.736 12.098 0.568 2011 11 4.907 1.257 0 0 4.907 1.257 5.126 0.546 2011 12 -3.937 -3.158 0 0 -3.937 -3.158 -2.295 -2.447 2012 1 1.737 2.784 0 0 1.737 2.784 2.098 2.214 2012 2 1.836 0.377 1 0 NaN NaN 2.609 0.220 2012 3 7.271 2.213 0 0 7.271 2.213 7.378 1.390 2012 4 11.985 2.478 0 0 11.985 2.478 12.961 2.523 2012 5 15.668 1.177 0 0 15.668 1.177 16.834 1.413 2012 6 22.150 2.365 0 0 22.150 2.365 23.571 2.856 2012 7 21.908 -0.306 0 0 21.908 -0.306 23.696 0.551 2012 8 21.856 1.116 0 0 21.856 1.116 22.917 1.246 2012 9 17.348 0.411 0 0 17.348 0.411 18.796 0.928 2012 10 12.561 1.962 0 0 12.561 1.962 13.151 1.621 2012 11 6.653 3.004 1 0 NaN NaN 6.097 1.517 2012 12 0.739 1.517 0 0 0.739 1.517 0.628 0.476 2013 1 -1.460 -0.413 0 0 -1.460 -0.413 -1.810 -1.693 2013 2 0.705 -0.754 0 0 0.705 -0.754 1.071 -1.319 2013 3 7.161 2.104 0 0 7.161 2.104 7.592 1.604 2013 4 10.165 0.658 0 0 10.165 0.658 11.606 1.168 2013 5 14.642 0.152 0 0 14.642 0.152 16.082 0.662 2013 6 22.402 2.616 0 0 22.402 2.616 23.692 2.977 2013 7 21.013 -1.201 0 0 21.013 -1.201 22.963 -0.181 2013 8 20.387 -0.353 0 0 20.387 -0.353 21.823 0.152 2013 9 16.900 -0.037 0 0 16.900 -0.037 18.353 0.486 2013 10 9.498 -1.101 0 0 9.498 -1.101 10.476 -1.054 2013 11 7.260 3.610 1 0 NaN NaN NaN NaN