% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32768 % Primary Name: SAHARA % Record Type: TAVG % Country: United States % State: UT % Latitude: 38.00000 +/- 0.00500 % Longitude: -113.45000 +/- 0.00500 % Elevation (m): 1587.70 +/- 0.15 % # of Months: 27 % % Alternate Names: Missing Station ID - 427501 % % IDs: coop - 427501 % ghcnd - USC00427501 % ncdc - 12005628 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: acd68cc2b58c4f3e010113a4d01730f8 % Raw Data Hash: 9d45093c913ef76b717bc39ccaa89140 % Adj Data Hash: 4368512bdeaf9e6c84b93c680614a531 % % 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 1912 4 NaN NaN NaN NaN NaN NaN 5.898 -2.612 1912 5 NaN NaN NaN NaN NaN NaN 12.256 -1.528 1912 6 NaN NaN NaN NaN NaN NaN 18.200 -0.929 1912 7 NaN NaN NaN NaN NaN NaN 20.879 -2.342 1912 8 NaN NaN NaN NaN NaN NaN 20.476 -1.566 1912 9 NaN NaN NaN NaN NaN NaN 13.995 -3.667 1912 10 NaN NaN NaN NaN NaN NaN 9.243 -2.156 1912 11 NaN NaN NaN NaN NaN NaN 5.282 0.882 1912 12 NaN NaN NaN NaN NaN NaN -1.129 -1.153 1913 1 NaN NaN NaN NaN NaN NaN -2.417 -1.689 1913 2 NaN NaN NaN NaN NaN NaN 0.150 -1.787 1913 3 NaN NaN NaN NaN NaN NaN 2.344 -2.123 1913 4 10.509 2.716 1 0 NaN NaN 8.340 -0.169 1913 5 13.966 0.898 0 0 13.966 0.898 13.584 -0.200 1913 6 17.262 -1.151 0 0 17.262 -1.151 17.221 -1.907 1913 7 22.148 -0.356 0 0 22.148 -0.356 21.905 -1.316 1913 8 21.729 0.403 0 0 21.729 0.403 21.328 -0.714 1913 9 15.900 -1.046 0 0 15.900 -1.046 16.611 -1.051 1913 10 8.377 -2.305 0 0 8.377 -2.305 10.119 -1.279 1913 11 4.670 0.987 0 0 4.670 0.987 5.497 1.097 1913 12 -4.319 -3.626 0 0 -4.319 -3.626 -1.771 -1.795 1914 1 0.929 2.374 0 0 0.929 2.374 1.462 2.190 1914 2 0.598 -0.622 0 0 0.598 -0.622 1.652 -0.284 1914 3 5.860 2.109 0 0 5.860 2.109 6.057 1.590 1914 4 9.223 1.430 0 0 9.223 1.430 9.018 0.509 1914 5 NaN NaN NaN NaN NaN NaN 14.500 0.716 1914 6 17.765 -0.648 0 0 17.765 -0.648 17.506 -1.623 1914 7 NaN NaN NaN NaN NaN NaN 21.895 -1.326 1914 8 21.811 0.486 0 0 21.811 0.486 21.936 -0.106 1914 9 16.453 -0.492 0 0 16.453 -0.492 17.365 -0.297 1914 10 10.482 -0.200 0 0 10.482 -0.200 12.037 0.639 1914 11 3.207 -0.477 0 0 3.207 -0.477 5.676 1.277 1914 12 -4.908 -4.215 0 0 -4.908 -4.215 -2.881 -2.904 1915 1 -4.192 -2.747 0 0 -4.192 -2.747 -1.878 -1.150 1915 2 0.693 -0.527 0 0 0.693 -0.527 2.072 0.135 1915 3 4.808 1.057 0 0 4.808 1.057 4.741 0.274 1915 4 9.655 1.862 0 0 9.655 1.862 9.370 0.861 1915 5 11.056 -2.011 0 0 11.056 -2.011 11.249 -2.535 1915 6 16.612 -1.801 0 0 16.612 -1.801 16.983 -2.146 1915 7 21.087 -1.417 0 0 21.087 -1.417 21.981 -1.240 1915 8 21.153 -0.173 0 0 21.153 -0.173 21.809 -0.233 1915 9 NaN NaN NaN NaN NaN NaN 16.384 -1.278 1915 10 NaN NaN NaN NaN NaN NaN 12.606 1.207 1915 11 NaN NaN NaN NaN NaN NaN 5.182 0.782 1915 12 NaN NaN NaN NaN NaN NaN 0.080 0.056 1916 1 NaN NaN NaN NaN NaN NaN -1.783 -1.055 1916 2 NaN NaN NaN NaN NaN NaN 4.043 2.107 1916 3 NaN NaN NaN NaN NaN NaN 6.508 2.040 1916 4 NaN NaN NaN NaN NaN NaN 9.524 1.015 1916 5 NaN NaN NaN NaN NaN NaN 11.750 -2.034 1916 6 NaN NaN NaN NaN NaN NaN 17.735 -1.394 1916 7 NaN NaN NaN NaN NaN NaN 21.974 -1.247 1916 8 NaN NaN NaN NaN NaN NaN 19.737 -2.305