% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31267 % Primary Name: MOUNT TRUMBULL % Record Type: TAVG % Country: United States % State: AZ % Latitude: 36.41670 +/- 0.00005 % Longitude: -113.35000 +/- 0.00005 % Elevation (m): 1708.10 +/- 0.05 % # of Months: 27 % % Alternate Names: MT TRUMBULL % % IDs: coop - 25744 % ghcnd - USC00025744 % ncdc - 20001314 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 9b79b9fb9dadfd862aaec2a5253de3d4 % Raw Data Hash: 1f0e04ffe3f94ba0818cacbc038c447a % Adj Data Hash: 4364e213189125085deb533b98fabb72 % % 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 1918 10 NaN NaN NaN NaN NaN NaN 16.015 0.759 1918 11 NaN NaN NaN NaN NaN NaN 6.890 -1.507 1918 12 NaN NaN NaN NaN NaN NaN 3.277 -0.848 1919 1 NaN NaN NaN NaN NaN NaN 3.114 -0.428 1919 2 NaN NaN NaN NaN NaN NaN 3.483 -2.212 1919 3 NaN NaN NaN NaN NaN NaN 6.278 -1.578 1919 4 NaN NaN NaN NaN NaN NaN 13.105 1.222 1919 5 NaN NaN NaN NaN NaN NaN 18.302 1.092 1919 6 NaN NaN NaN NaN NaN NaN 22.358 -0.229 1919 7 NaN NaN NaN NaN NaN NaN 26.320 0.218 1919 8 NaN NaN NaN NaN NaN NaN 25.148 0.226 1919 9 NaN NaN NaN NaN NaN NaN 21.600 0.248 1919 10 8.195 -5.072 1 0 NaN NaN 11.841 -3.414 1919 11 5.278 -1.129 0 0 5.278 -1.129 7.580 -0.817 1919 12 1.910 -0.227 0 0 1.910 -0.227 4.068 -0.057 1920 1 3.363 1.810 0 0 3.363 1.810 5.135 1.593 1920 2 4.421 0.714 0 0 4.421 0.714 6.566 0.871 1920 3 5.181 -0.686 0 0 5.181 -0.686 6.152 -1.704 1920 4 7.973 -1.921 0 0 7.973 -1.921 9.505 -2.378 1920 5 14.959 -0.262 0 0 14.959 -0.262 16.701 -0.508 1920 6 19.350 -1.248 0 0 19.350 -1.248 21.456 -1.131 1920 7 23.852 -0.261 0 0 23.852 -0.261 25.731 -0.371 1920 8 22.437 -0.497 0 0 22.437 -0.497 23.760 -1.162 1920 9 18.822 -0.541 1 0 NaN NaN 19.964 -1.388 1920 10 NaN NaN NaN NaN NaN NaN 13.257 -1.998 1920 11 5.015 -1.393 0 0 5.015 -1.393 7.731 -0.665 1920 12 -0.048 -2.185 0 0 -0.048 -2.185 2.521 -1.604 1921 1 2.450 0.897 1 0 NaN NaN 3.911 0.369 1921 2 4.243 0.536 0 0 4.243 0.536 6.974 1.279 1921 3 7.927 2.061 0 0 7.927 2.061 9.605 1.750 1921 4 8.372 -1.522 0 0 8.372 -1.522 10.267 -1.616 1921 5 13.688 -1.532 0 0 13.688 -1.532 15.199 -2.010 1921 6 20.448 -0.150 0 0 20.448 -0.150 22.377 -0.210 1921 7 23.778 -0.335 0 0 23.778 -0.335 25.939 -0.163 1921 8 21.976 -0.958 0 0 21.976 -0.958 23.701 -1.221 1921 9 18.321 -1.043 0 0 18.321 -1.043 20.953 -0.399 1921 10 14.500 1.233 1 0 NaN NaN 17.299 2.044 1921 11 8.039 1.631 0 0 8.039 1.631 9.934 1.538 1921 12 4.892 2.756 1 0 NaN NaN 6.548 2.423 1922 1 -0.920 -2.474 0 0 -0.920 -2.474 1.456 -2.086 1922 2 NaN NaN NaN NaN NaN NaN 4.475 -1.220 1922 3 NaN NaN NaN NaN NaN NaN 6.062 -1.793 1922 4 NaN NaN NaN NaN NaN NaN 9.375 -2.507 1922 5 NaN NaN NaN NaN NaN NaN 16.763 -0.446 1922 6 NaN NaN NaN NaN NaN NaN 23.263 0.676 1922 7 NaN NaN NaN NaN NaN NaN 26.326 0.224 1922 8 NaN NaN NaN NaN NaN NaN 24.175 -0.747 1922 9 NaN NaN NaN NaN NaN NaN 22.926 1.574 1922 10 NaN NaN NaN NaN NaN NaN 15.803 0.547 1922 11 NaN NaN NaN NaN NaN NaN 6.999 -1.397 1922 12 NaN NaN NaN NaN NaN NaN 6.154 2.029 1923 1 NaN NaN NaN NaN NaN NaN 5.863 2.321