% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32004 % Primary Name: PAHREAH % Record Type: TAVG % Country: United States % State: UT % Latitude: 37.25000 +/- 0.00500 % Longitude: -111.95000 +/- 0.00500 % Elevation (m): 1219.20 +/- 0.15 % # of Months: 58 % % Alternate Names: Missing Station ID - 426590 % % IDs: coop - 426590 % ghcnd - USC00426590 % ncdc - 12005603 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 53ec6f60df8d06f7514545f802f416fa % Raw Data Hash: 35e3fdf92a95529d1cf9de5658d89cf5 % Adj Data Hash: 1cd4eb0b46d432bb98d78edb5b76f16a % % 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 1894 1 NaN NaN NaN NaN NaN NaN -5.959 -2.028 1894 2 NaN NaN NaN NaN NaN NaN -5.314 -3.938 1894 3 NaN NaN NaN NaN NaN NaN 1.390 -0.187 1894 4 NaN NaN NaN NaN NaN NaN 6.396 0.595 1894 5 NaN NaN NaN NaN NaN NaN 12.490 1.535 1894 6 NaN NaN NaN NaN NaN NaN 13.744 -2.270 1894 7 NaN NaN NaN NaN NaN NaN 19.942 0.201 1894 8 NaN NaN NaN NaN NaN NaN 18.102 -0.257 1894 9 NaN NaN NaN NaN NaN NaN 12.803 -1.425 1894 10 NaN NaN NaN NaN NaN NaN 9.062 0.648 1894 11 NaN NaN NaN NaN NaN NaN 4.271 2.610 1894 12 NaN NaN NaN NaN NaN NaN -2.563 0.410 1895 1 -2.630 -3.365 0 0 -2.630 -3.365 -5.148 -1.216 1895 2 1.893 -1.398 0 0 1.893 -1.398 -3.118 -1.742 1895 3 6.290 0.046 0 0 6.290 0.046 0.746 -0.831 1895 4 12.852 2.384 0 0 12.852 2.384 6.728 0.927 1895 5 16.461 0.839 0 0 16.461 0.839 11.042 0.087 1895 6 20.322 -0.359 0 0 20.322 -0.359 14.189 -1.825 1895 7 23.923 -0.486 0 0 23.923 -0.486 18.461 -1.280 1895 8 23.571 0.544 0 0 23.571 0.544 18.521 0.162 1895 9 18.603 -0.292 0 0 18.603 -0.292 14.159 -0.069 1895 10 12.016 -1.066 0 0 12.016 -1.066 8.413 -0.001 1895 11 3.867 -2.461 0 0 3.867 -2.461 -0.001 -1.661 1895 12 -2.148 -3.842 0 0 -2.148 -3.842 -5.600 -2.627 1896 1 2.294 1.558 0 0 2.294 1.558 -1.107 2.824 1896 2 2.251 -1.040 1 0 NaN NaN -0.893 0.483 1896 3 6.774 0.530 0 0 6.774 0.530 1.683 0.106 1896 4 10.235 -0.233 0 0 10.235 -0.233 4.604 -1.197 1896 5 14.984 -0.638 0 0 14.984 -0.638 9.936 -1.019 1896 6 25.111 4.430 0 0 25.111 4.430 17.857 1.844 1896 7 NaN NaN NaN NaN NaN NaN 19.196 -0.545 1896 8 21.226 -1.800 0 0 21.226 -1.800 17.699 -0.660 1896 9 18.020 -0.875 0 0 18.020 -0.875 13.857 -0.371 1896 10 12.119 -0.963 0 0 12.119 -0.963 8.833 0.418 1896 11 NaN NaN NaN NaN NaN NaN 0.494 -1.166 1896 12 NaN NaN NaN NaN NaN NaN -1.096 1.877 1897 1 NaN NaN NaN NaN NaN NaN -3.901 0.030 1897 2 NaN NaN NaN NaN NaN NaN -3.410 -2.034 1897 3 3.763 -2.480 0 0 3.763 -2.480 -2.271 -3.847 1897 4 12.097 1.629 0 0 12.097 1.629 6.188 0.387 1897 5 18.369 2.747 0 0 18.369 2.747 13.532 2.577 1897 6 20.426 -0.255 0 0 20.426 -0.255 15.087 -0.927 1897 7 23.584 -0.824 0 0 23.584 -0.824 18.332 -1.409 1897 8 23.530 0.504 0 0 23.530 0.504 18.773 0.413 1897 9 17.981 -0.914 0 0 17.981 -0.914 14.317 0.089 1897 10 10.287 -2.795 0 0 10.287 -2.795 7.171 -1.244 1897 11 4.056 -2.272 0 0 4.056 -2.272 2.302 0.641 1897 12 -2.133 -3.827 0 0 -2.133 -3.827 -5.482 -2.509 1898 1 -5.915 -6.650 0 0 -5.915 -6.650 -7.709 -3.778 1898 2 0.768 -2.523 0 0 0.768 -2.523 -2.030 -0.654 1898 3 3.728 -2.516 0 0 3.728 -2.516 -1.157 -2.734 1898 4 13.889 3.421 0 0 13.889 3.421 8.027 2.227 1898 5 14.337 -1.285 0 0 14.337 -1.285 9.546 -1.409 1898 6 20.992 0.311 0 0 20.992 0.311 15.882 -0.131 1898 7 25.538 1.129 0 0 25.538 1.129 20.368 0.627 1898 8 25.054 2.028 0 0 25.054 2.028 19.808 1.448 1898 9 18.722 -0.173 0 0 18.722 -0.173 14.155 -0.073 1898 10 11.004 -2.078 0 0 11.004 -2.078 7.168 -1.247 1898 11 5.500 -0.828 0 0 5.500 -0.828 1.040 -0.621 1898 12 -2.508 -4.202 0 0 -2.508 -4.202 -5.352 -2.379 1899 1 0.197 -0.539 0 0 0.197 -0.539 -3.938 -0.007 1899 2 3.552 0.261 0 0 3.552 0.261 -1.540 -0.163 1899 3 7.708 1.464 0 0 7.708 1.464 1.918 0.341 1899 4 12.000 1.532 0 0 12.000 1.532 6.591 0.790 1899 5 14.498 -1.124 0 0 14.498 -1.124 8.847 -2.108 1899 6 22.259 1.578 0 0 22.259 1.578 15.685 -0.329 1899 7 25.806 1.398 0 0 25.806 1.398 20.356 0.615 1899 8 21.147 -1.879 0 0 21.147 -1.879 16.228 -2.131 1899 9 20.820 1.925 0 0 20.820 1.925 15.667 1.439 1899 10 11.106 -1.975 0 0 11.106 -1.975 6.728 -1.687 1899 11 7.088 0.761 0 0 7.088 0.761 3.303 1.642 1899 12 1.720 0.026 0 0 1.720 0.026 -3.320 -0.348 1900 1 3.403 2.667 0 0 3.403 2.667 -0.926 3.005 1900 2 4.907 1.616 0 0 4.907 1.616 -0.405 0.971 1900 3 9.767 3.523 0 0 9.767 3.523 4.167 2.590 1900 4 NaN NaN NaN NaN NaN NaN 4.057 -1.744 1900 5 NaN NaN NaN NaN NaN NaN 12.249 1.294 1900 6 NaN NaN NaN NaN NaN NaN 17.621 1.608 1900 7 NaN NaN NaN NaN NaN NaN 20.431 0.690 1900 8 NaN NaN NaN NaN NaN NaN 16.688 -1.672 1900 9 NaN NaN NaN NaN NaN NaN 11.933 -2.295 1900 10 NaN NaN NaN NaN NaN NaN 8.094 -0.321 1900 11 NaN NaN NaN NaN NaN NaN 3.047 1.386 1900 12 NaN NaN NaN NaN NaN NaN -1.560 1.413 1901 1 NaN NaN NaN NaN NaN NaN -3.590 0.341 1901 2 NaN NaN NaN NaN NaN NaN -1.291 0.085 1901 3 NaN NaN NaN NaN NaN NaN 0.178 -1.398