% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27911 % Primary Name: MILLER THORNE RCH % Record Type: TAVG % Country: United States % State: NM % Latitude: 32.58330 +/- 0.00005 % Longitude: -105.16670 +/- 0.00005 % Elevation (m): 1592.58 +/- 0.15 % # of Months: 51 % % Alternate Names: Missing Station ID - 295710 % % IDs: coop - 295710 % ghcnd - USC00295710 % ncdc - 30002510 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 67e0e18dcc4a3515cdd174d972c9ecb4 % Raw Data Hash: e126938dddb316a0eb900f8ddacce5e3 % Adj Data Hash: 558da19cf9a16603078e540c343677bc % % 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 1921 6 NaN NaN NaN NaN NaN NaN 22.538 -2.120 1921 7 NaN NaN NaN NaN NaN NaN 24.206 -1.728 1921 8 NaN NaN NaN NaN NaN NaN 24.833 -0.027 1921 9 NaN NaN NaN NaN NaN NaN 23.206 2.006 1921 10 NaN NaN NaN NaN NaN NaN 16.512 1.302 1921 11 NaN NaN NaN NaN NaN NaN 10.233 1.718 1921 12 NaN NaN NaN NaN NaN NaN 7.858 3.156 1922 1 NaN NaN NaN NaN NaN NaN 2.689 -1.417 1922 2 NaN NaN NaN NaN NaN NaN 6.065 -0.374 1922 3 NaN NaN NaN NaN NaN NaN 9.096 -1.065 1922 4 NaN NaN NaN NaN NaN NaN 14.354 -0.657 1922 5 NaN NaN NaN NaN NaN NaN 19.418 -0.393 1922 6 20.925 -1.316 0 0 20.925 -1.316 23.915 -0.742 1922 7 22.948 -0.569 0 0 22.948 -0.569 25.763 -0.171 1922 8 21.557 -0.886 0 0 21.557 -0.886 25.837 0.978 1922 9 17.693 -1.091 0 0 17.693 -1.091 22.042 0.842 1922 10 13.887 1.093 0 0 13.887 1.093 15.216 0.006 1922 11 5.085 -1.014 0 0 5.085 -1.014 8.246 -0.269 1922 12 4.235 1.950 0 0 4.235 1.950 7.193 2.491 1923 1 4.322 2.633 0 0 4.322 2.633 7.586 3.480 1923 2 1.948 -2.075 0 0 1.948 -2.075 5.326 -1.113 1923 3 4.737 -3.007 0 0 4.737 -3.007 7.866 -2.295 1923 4 11.107 -1.487 1 0 NaN NaN 14.933 -0.077 1923 5 16.374 -1.021 0 0 16.374 -1.021 19.615 -0.196 1923 6 21.596 -0.645 0 0 21.596 -0.645 25.037 0.380 1923 7 21.813 -1.705 0 0 21.813 -1.705 25.488 -0.446 1923 8 20.535 -1.907 0 0 20.535 -1.907 24.612 -0.247 1923 9 19.185 0.400 1 0 NaN NaN 20.870 -0.331 1923 10 11.603 -1.191 0 0 11.603 -1.191 13.661 -1.549 1923 11 6.435 0.336 0 0 6.435 0.336 7.950 -0.565 1923 12 1.287 -0.999 0 0 1.287 -0.999 2.743 -1.959 1924 1 NaN NaN NaN NaN NaN NaN 2.477 -1.629 1924 2 4.771 0.748 1 0 NaN NaN 6.181 -0.258 1924 3 6.850 -0.895 0 0 6.850 -0.895 7.624 -2.537 1924 4 11.733 -0.861 0 0 11.733 -0.861 13.909 -1.102 1924 5 16.379 -1.016 0 0 16.379 -1.016 18.192 -1.619 1924 6 24.162 1.921 0 0 24.162 1.921 26.665 2.008 1924 7 22.139 -1.379 0 0 22.139 -1.379 25.461 -0.473 1924 8 23.402 0.959 0 0 23.402 0.959 26.222 1.363 1924 9 18.655 -0.130 0 0 18.655 -0.130 20.735 -0.465 1924 10 14.068 1.274 0 0 14.068 1.274 15.554 0.343 1924 11 8.925 2.826 0 0 8.925 2.826 10.599 2.084 1924 12 1.866 -0.420 0 0 1.866 -0.420 3.485 -1.217 1925 1 1.523 -0.166 0 0 1.523 -0.166 2.752 -1.354 1925 2 8.296 4.273 0 0 8.296 4.273 9.025 2.586 1925 3 10.666 2.922 0 0 10.666 2.922 12.344 2.184 1925 4 15.548 2.954 0 0 15.548 2.954 17.268 2.257 1925 5 17.977 0.583 0 0 17.977 0.583 19.909 0.098 1925 6 22.250 0.009 0 0 22.250 0.009 25.274 0.617 1925 7 23.087 -0.430 0 0 23.087 -0.430 26.132 0.198 1925 8 20.076 -2.367 0 0 20.076 -2.367 23.268 -1.592 1925 9 19.377 0.592 0 0 19.377 0.592 21.265 0.064 1925 10 13.977 1.183 0 0 13.977 1.183 14.481 -0.730 1925 11 7.192 1.093 0 0 7.192 1.093 8.170 -0.346 1925 12 1.377 -0.909 0 0 1.377 -0.909 3.183 -1.519 1926 1 -0.453 -2.143 0 0 -0.453 -2.143 1.922 -2.184 1926 2 6.405 2.382 0 0 6.405 2.382 8.104 1.665 1926 3 6.077 -1.667 0 0 6.077 -1.667 7.846 -2.315 1926 4 11.267 -1.328 0 0 11.267 -1.328 13.010 -2.001 1926 5 14.470 -2.925 0 0 14.470 -2.925 17.879 -1.932 1926 6 20.952 -1.289 0 0 20.952 -1.289 24.004 -0.654 1926 7 21.165 -2.353 0 0 21.165 -2.353 24.404 -1.529 1926 8 21.316 -1.127 0 0 21.316 -1.127 24.529 -0.330 1926 9 19.556 0.771 0 0 19.556 0.771 21.932 0.731 1926 10 NaN NaN NaN NaN NaN NaN 16.180 0.970 1926 11 NaN NaN NaN NaN NaN NaN 8.607 0.091 1926 12 NaN NaN NaN NaN NaN NaN 4.104 -0.598 1927 1 NaN NaN NaN NaN NaN NaN 6.360 2.255 1927 2 NaN NaN NaN NaN NaN NaN 8.888 2.449 1927 3 NaN NaN NaN NaN NaN NaN 9.683 -0.478 1927 4 NaN NaN NaN NaN NaN NaN 15.788 0.777 1927 5 NaN NaN NaN NaN NaN NaN 21.093 1.282 1927 6 NaN NaN NaN NaN NaN NaN 23.929 -0.729 1927 7 NaN NaN NaN NaN NaN NaN 25.544 -0.390 1927 8 NaN NaN NaN NaN NaN NaN 25.065 0.206 1927 9 NaN NaN NaN NaN NaN NaN 20.967 -0.234