% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30165 % Primary Name: RIO RANCHO #2 % Record Type: TAVG % Country: United States % State: NM % Latitude: 35.25220 +/- 0.00005 % Longitude: -106.63470 +/- 0.00005 % Elevation (m): 1612.39 +/- 0.15 % # of Months: 69 % % Alternate Names: Missing Station ID - 297481 % % IDs: coop - 297481 % ghcnd - USC00297481 % ncdc - 30014173 % nws - RRON5 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 145a8cdc8c8fd898f361cc825b44bb45 % Raw Data Hash: 99b6507d59714cf73888249ac695889b % Adj Data Hash: 27d9bcfd03f5f837e5066da644e9e50a % % 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 2007 1 NaN NaN NaN NaN NaN NaN -1.707 -1.590 2007 2 NaN NaN NaN NaN NaN NaN 3.030 0.640 2007 3 NaN NaN NaN NaN NaN NaN 7.520 1.532 2007 4 NaN NaN NaN NaN NaN NaN 10.584 0.146 2007 5 NaN NaN NaN NaN NaN NaN 15.049 -0.372 2007 6 NaN NaN NaN NaN NaN NaN 21.603 0.887 2007 7 NaN NaN NaN NaN NaN NaN 23.831 0.687 2007 8 NaN NaN NaN NaN NaN NaN 23.415 1.745 2007 9 NaN NaN NaN NaN NaN NaN 19.377 1.509 2007 10 NaN NaN NaN NaN NaN NaN 12.537 1.007 2007 11 NaN NaN NaN NaN NaN NaN 6.852 2.271 2007 12 NaN NaN NaN NaN NaN NaN 0.509 0.357 2008 1 0.889 -1.757 0 0 0.691 -1.955 -1.157 -1.040 2008 2 4.944 -0.208 0 0 4.747 -0.406 3.109 0.719 2008 3 9.278 0.527 0 0 9.080 0.329 6.409 0.421 2008 4 12.611 -0.589 0 0 12.413 -0.787 10.279 -0.159 2008 5 18.167 -0.017 0 0 17.969 -0.214 14.777 -0.644 2008 6 24.722 1.244 0 0 24.524 1.046 21.954 1.238 2008 7 26.167 0.260 0 0 25.969 0.062 22.577 -0.568 2008 8 25.833 1.400 0 0 25.635 1.202 21.880 0.209 2008 9 21.333 0.703 0 0 21.135 0.505 18.014 0.146 2008 10 14.889 0.597 0 0 14.691 0.399 12.116 0.586 2008 11 9.590 2.247 1 0 NaN NaN 5.843 1.263 2008 12 2.720 -0.194 1 0 NaN NaN 1.878 1.726 2009 1 4.620 1.974 1 0 NaN NaN 2.082 2.199 2009 2 NaN NaN NaN NaN NaN NaN 4.137 1.747 2009 3 11.654 2.904 1 0 NaN NaN 7.481 1.493 2009 4 9.378 -3.822 1 0 NaN NaN 10.447 0.009 2009 5 NaN NaN NaN NaN NaN NaN 17.384 1.963 2009 6 23.222 -0.256 0 1 23.261 -0.217 20.031 -0.685 2009 7 27.000 1.093 0 0 27.039 1.132 24.325 1.180 2009 8 25.389 0.956 0 0 25.428 0.994 22.184 0.513 2009 9 20.389 -0.241 0 0 20.428 -0.203 17.647 -0.220 2009 10 13.056 -1.237 0 0 13.094 -1.198 10.971 -0.559 2009 11 7.944 0.602 0 0 7.983 0.641 5.568 0.988 2009 12 1.000 -1.914 1 0 NaN NaN -1.219 -1.371 2010 1 2.278 -0.368 0 0 2.317 -0.330 -0.329 -0.213 2010 2 3.722 -1.430 0 0 3.761 -1.391 1.378 -1.011 2010 3 7.556 -1.195 0 0 7.594 -1.156 5.077 -0.911 2010 4 13.444 0.244 0 0 13.483 0.283 10.898 0.460 2010 5 17.111 -1.072 0 0 17.150 -1.033 14.878 -0.542 2010 6 25.444 1.966 0 0 25.483 2.005 22.556 1.840 2010 7 26.556 0.648 0 0 26.594 0.687 23.596 0.451 2010 8 25.056 0.622 0 0 25.094 0.661 22.079 0.408 2010 9 23.111 2.481 0 0 23.150 2.520 20.290 2.422 2010 10 16.167 1.875 0 0 16.205 1.913 13.277 1.747 2010 11 7.000 -0.343 0 0 7.039 -0.304 4.210 -0.370 2010 12 5.556 2.641 0 0 5.594 2.680 3.428 3.276 2011 1 2.056 -0.591 0 0 2.094 -0.552 -0.189 -0.073 2011 2 2.500 -2.652 0 0 2.539 -2.613 0.304 -2.086 2011 3 10.944 2.194 0 0 10.983 2.233 8.763 2.775 2011 4 14.389 1.188 0 0 14.428 1.227 12.658 2.220 2011 5 17.000 -1.183 0 0 17.039 -1.144 14.359 -1.062 2011 6 24.889 1.411 0 0 24.928 1.449 22.619 1.904 2011 7 28.167 2.260 0 0 28.205 2.298 24.645 1.501 2011 8 27.556 3.122 0 0 27.594 3.161 23.884 2.213 2011 9 21.611 0.981 0 0 21.650 1.020 18.610 0.742 2011 10 14.556 0.263 0 0 14.594 0.302 12.098 0.568 2011 11 7.278 -0.065 0 0 7.317 -0.026 5.126 0.546 2011 12 0.406 -2.508 1 0 NaN NaN -2.295 -2.447 2012 1 4.465 1.818 0 0 4.503 1.857 2.098 2.214 2012 2 5.090 -0.063 0 0 5.128 -0.024 2.609 0.220 2012 3 10.002 1.251 0 0 10.040 1.290 7.378 1.390 2012 4 15.740 2.540 0 0 15.779 2.578 12.961 2.523 2012 5 20.266 2.083 0 0 20.305 2.122 16.834 1.413 2012 6 26.678 3.200 0 0 26.717 3.239 23.571 2.856 2012 7 27.303 1.396 0 0 27.342 1.435 23.696 0.551 2012 8 26.702 2.268 0 0 26.740 2.307 22.917 1.246 2012 9 22.303 1.673 0 0 22.342 1.712 18.796 0.928 2012 10 16.187 1.895 0 0 16.226 1.934 13.151 1.621 2012 11 8.625 1.282 0 0 8.664 1.321 6.097 1.517 2012 12 3.037 0.123 0 0 3.076 0.162 0.628 0.476 2013 1 0.452 -2.195 0 0 0.490 -2.156 -1.810 -1.693 2013 2 3.959 -1.193 0 0 3.998 -1.154 1.071 -1.319 2013 3 9.874 1.124 0 0 9.913 1.162 7.592 1.604 2013 4 13.893 0.693 0 0 13.932 0.732 11.606 1.168 2013 5 18.974 0.791 0 0 19.013 0.830 16.082 0.662 2013 6 26.407 2.928 0 0 26.445 2.967 23.692 2.977 2013 7 25.774 -0.133 0 0 25.813 -0.094 22.963 -0.181 2013 8 25.673 1.239 0 0 25.711 1.278 21.823 0.152 2013 9 21.580 0.950 0 0 21.619 0.988 18.353 0.486 2013 10 13.234 -1.058 0 0 13.273 -1.019 10.476 -1.054 2013 11 9.592 2.249 1 0 NaN NaN NaN NaN