% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35910 % Primary Name: MURRAY % Record Type: TAVG % Country: United States % State: UT % Latitude: 40.65000 +/- 0.00500 % Longitude: -111.90000 +/- 0.00500 % Elevation (m): 1313.69 +/- 0.15 % # of Months: 62 % % Alternate Names: Missing Station ID - 425963 % % IDs: coop - 425963 % ghcnd - USC00425963 % ncdc - 12005596 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: b03543eeb52f4bb6c2126458097b97d5 % Raw Data Hash: 59e5fa8b702766d7fa574c14d250be26 % Adj Data Hash: e64fc6cda1aa10c370fd30ec87ba73e8 % % 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 1923 1 NaN NaN NaN NaN NaN NaN 0.524 2.689 1923 2 NaN NaN NaN NaN NaN NaN -3.690 -4.332 1923 3 NaN NaN NaN NaN NaN NaN 1.218 -2.793 1923 4 NaN NaN NaN NaN NaN NaN 7.309 -1.325 1923 5 NaN NaN NaN NaN NaN NaN 14.106 -0.130 1923 6 NaN NaN NaN NaN NaN NaN 16.113 -3.255 1923 7 NaN NaN NaN NaN NaN NaN 24.908 0.438 1923 8 NaN NaN NaN NaN NaN NaN 21.977 -1.169 1923 9 NaN NaN NaN NaN NaN NaN 17.061 -0.728 1923 10 NaN NaN NaN NaN NaN NaN 8.764 -2.216 1923 11 NaN NaN NaN NaN NaN NaN 4.756 1.043 1923 12 NaN NaN NaN NaN NaN NaN -2.789 -1.600 1924 1 -5.634 -3.446 0 0 -5.634 -3.446 -4.854 -2.689 1924 2 3.300 2.681 0 0 3.300 2.681 3.354 2.712 1924 3 1.723 -2.265 0 0 1.723 -2.265 0.842 -3.169 1924 4 8.455 -0.157 0 0 8.455 -0.157 7.948 -0.686 1924 5 16.580 2.367 1 0 NaN NaN 15.534 1.298 1924 6 20.825 1.480 0 0 20.825 1.480 19.672 0.304 1924 7 24.200 -0.247 0 0 24.200 -0.247 24.341 -0.129 1924 8 23.632 0.509 0 0 23.632 0.509 22.545 -0.601 1924 9 18.450 0.684 0 0 18.450 0.684 16.917 -0.872 1924 10 11.840 0.882 1 0 NaN NaN 10.436 -0.544 1924 11 2.834 -0.856 1 0 NaN NaN 3.135 -0.578 1924 12 -5.969 -4.757 0 0 -5.969 -4.757 -5.534 -4.345 1925 1 -3.405 -1.217 0 0 -3.405 -1.217 -3.099 -0.934 1925 2 3.552 2.933 0 0 3.552 2.933 3.614 2.972 1925 3 6.455 2.467 0 0 6.455 2.467 5.298 1.287 1925 4 9.860 1.248 0 0 9.860 1.248 9.162 0.527 1925 5 16.219 2.007 0 0 16.219 2.007 15.966 1.730 1925 6 17.333 -2.011 0 0 17.333 -2.011 17.160 -2.207 1925 7 23.856 -0.591 0 0 23.856 -0.591 25.156 0.686 1925 8 20.895 -2.228 0 0 20.895 -2.228 21.669 -1.477 1925 9 16.042 -1.724 0 0 16.042 -1.724 16.579 -1.210 1925 10 10.108 -0.849 0 0 10.108 -0.849 10.321 -0.659 1925 11 2.912 -0.779 0 0 2.912 -0.779 3.206 -0.508 1925 12 1.127 2.339 0 0 1.127 2.339 0.767 1.956 1926 1 -3.094 -0.906 0 0 -3.094 -0.906 -2.361 -0.196 1926 2 NaN NaN NaN NaN NaN NaN 3.089 2.447 1926 3 6.063 2.075 0 0 6.063 2.075 5.057 1.047 1926 4 11.712 3.100 0 0 11.712 3.100 11.200 2.566 1926 5 14.784 0.571 0 0 14.784 0.571 15.060 0.825 1926 6 20.021 0.677 0 0 20.021 0.677 20.606 1.239 1926 7 22.590 -1.857 0 0 22.590 -1.857 24.393 -0.077 1926 8 22.179 -0.944 0 0 22.179 -0.944 23.003 -0.143 1926 9 15.202 -2.564 0 0 15.202 -2.564 15.707 -2.082 1926 10 11.276 0.319 0 0 11.276 0.319 11.777 0.797 1926 11 6.002 2.311 0 0 6.002 2.311 6.435 2.722 1926 12 -2.145 -0.933 0 0 -2.145 -0.933 -2.258 -1.069 1927 1 -1.615 0.573 0 0 -1.615 0.573 -0.783 1.382 1927 2 0.496 -0.123 0 0 0.496 -0.123 2.375 1.733 1927 3 4.240 0.252 0 0 4.240 0.252 3.476 -0.534 1927 4 8.332 -0.280 0 0 8.332 -0.280 7.875 -0.759 1927 5 12.261 -1.951 0 0 12.261 -1.951 12.665 -1.570 1927 6 18.425 -0.920 0 0 18.425 -0.920 18.874 -0.493 1927 7 23.552 -0.895 0 0 23.552 -0.895 24.543 0.073 1927 8 20.926 -2.197 0 0 20.926 -2.197 21.958 -1.188 1927 9 16.677 -1.089 0 0 16.677 -1.089 16.595 -1.194 1927 10 11.864 0.907 0 0 11.864 0.907 12.016 1.036 1927 11 7.502 3.811 0 0 7.502 3.811 7.020 3.307 1927 12 -3.176 -1.964 0 0 -3.176 -1.964 -3.469 -2.280 1928 1 -1.945 0.243 0 0 -1.945 0.243 -1.956 0.209 1928 2 1.550 0.931 0 0 1.550 0.931 1.013 0.371 1928 3 6.157 2.169 0 0 6.157 2.169 5.582 1.571 1928 4 7.780 -0.832 0 0 7.780 -0.832 7.405 -1.230 1928 5 16.235 2.023 0 0 16.235 2.023 16.548 2.312 1928 6 17.502 -1.843 0 0 17.502 -1.843 17.397 -1.971 1928 7 23.629 -0.818 0 0 23.629 -0.818 24.518 0.048 1928 8 22.140 -0.983 0 0 22.140 -0.983 22.453 -0.693 1928 9 18.450 0.684 0 0 18.450 0.684 18.203 0.414 1928 10 11.475 0.518 0 0 11.475 0.518 11.424 0.444 1928 11 3.759 0.068 1 0 NaN NaN 3.835 0.122 1928 12 -2.765 -1.553 0 0 -2.765 -1.553 -4.253 -3.064 1929 1 -4.435 -2.248 0 0 -4.435 -2.248 -4.214 -2.049 1929 2 NaN NaN NaN NaN NaN NaN -3.452 -4.094 1929 3 4.447 0.459 0 0 4.447 0.459 3.165 -0.846 1929 4 NaN NaN NaN NaN NaN NaN 6.645 -1.990 1929 5 14.114 -0.099 0 0 14.114 -0.099 13.596 -0.640 1929 6 NaN NaN NaN NaN NaN NaN 17.736 -1.632 1929 7 NaN NaN NaN NaN NaN NaN 25.146 0.677 1929 8 NaN NaN NaN NaN NaN NaN 23.981 0.835 1929 9 NaN NaN NaN NaN NaN NaN 15.724 -2.065 1929 10 NaN NaN NaN NaN NaN NaN 11.959 0.979 1929 11 NaN NaN NaN NaN NaN NaN 2.354 -1.359 1929 12 NaN NaN NaN NaN NaN NaN 2.265 3.454 1930 1 NaN NaN NaN NaN NaN NaN -6.079 -3.914 1930 2 NaN NaN NaN NaN NaN NaN 3.837 3.195 1930 3 NaN NaN NaN NaN NaN NaN 4.442 0.431 1930 4 NaN NaN NaN NaN NaN NaN 12.160 3.526 1930 5 NaN NaN NaN NaN NaN NaN 12.423 -1.813