% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35358 % Primary Name: MOSIDA % Record Type: TAVG % Country: United States % State: UT % Latitude: 40.18330 +/- 0.00005 % Longitude: -111.91670 +/- 0.00005 % Elevation (m): 1402.08 +/- 0.15 % # of Months: 58 % % Alternate Names: Missing Station ID - 425847 % % IDs: coop - 425847 % ghcnd - USC00425847 % ncdc - 12005590 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: d5ad362bc271aca55cbb1a7394125d6a % Raw Data Hash: 000a5dac8b433cc371140bca0239900e % Adj Data Hash: fec16d2aab2f331c4e55c68551293f8c % % 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 1910 11 NaN NaN NaN NaN NaN NaN 5.788 3.183 1910 12 NaN NaN NaN NaN NaN NaN -1.371 1.039 1911 1 NaN NaN NaN NaN NaN NaN 0.043 3.299 1911 2 NaN NaN NaN NaN NaN NaN -2.219 -2.001 1911 3 NaN NaN NaN NaN NaN NaN 4.364 1.198 1911 4 NaN NaN NaN NaN NaN NaN 6.875 -0.618 1911 5 NaN NaN NaN NaN NaN NaN 12.563 -0.398 1911 6 NaN NaN NaN NaN NaN NaN 17.601 -0.627 1911 7 NaN NaN NaN NaN NaN NaN 21.611 -1.360 1911 8 NaN NaN NaN NaN NaN NaN 21.236 -0.379 1911 9 NaN NaN NaN NaN NaN NaN 16.698 0.128 1911 10 NaN NaN NaN NaN NaN NaN 8.453 -1.516 1911 11 -1.706 -4.969 1 0 NaN NaN 0.790 -1.815 1911 12 -5.082 -3.330 0 0 -5.082 -3.330 -4.777 -2.367 1912 1 -2.787 -0.190 0 0 -2.787 -0.190 -1.838 1.418 1912 2 0.193 -0.248 1 0 NaN NaN 0.841 1.058 1912 3 4.395 0.571 0 0 4.395 0.571 2.285 -0.880 1912 4 7.360 -0.792 0 0 7.360 -0.792 5.256 -2.238 1912 5 12.856 -0.762 0 0 12.856 -0.762 11.640 -1.321 1912 6 19.840 0.954 0 0 19.840 0.954 17.604 -0.624 1912 7 22.471 -1.158 0 0 22.471 -1.158 21.293 -1.678 1912 8 21.171 -1.103 0 0 21.171 -1.103 20.386 -1.229 1912 9 13.859 -3.369 1 0 NaN NaN 12.546 -4.024 1912 10 7.448 -3.179 0 0 7.448 -3.179 8.163 -1.806 1912 11 3.215 -0.049 0 0 3.215 -0.049 3.450 0.845 1912 12 -3.373 -1.620 0 0 -3.373 -1.620 -4.015 -1.605 1913 1 -6.805 -4.207 0 0 -6.805 -4.207 -5.131 -1.875 1913 2 -2.945 -3.386 1 0 NaN NaN -1.580 -1.362 1913 3 1.342 -2.482 0 0 1.342 -2.482 0.851 -2.315 1913 4 12.001 3.849 0 0 12.001 3.849 7.958 0.464 1913 5 16.315 2.696 0 0 16.315 2.696 13.730 0.770 1913 6 21.048 2.162 0 0 21.048 2.162 16.920 -1.308 1913 7 22.339 -1.290 0 0 22.339 -1.290 21.550 -1.421 1913 8 24.877 2.604 0 0 24.877 2.604 21.430 -0.186 1913 9 16.112 -1.117 0 0 16.112 -1.117 15.540 -1.030 1913 10 6.462 -4.165 1 0 NaN NaN 8.615 -1.354 1913 11 NaN NaN NaN NaN NaN NaN 4.475 1.870 1913 12 -3.885 -2.133 0 0 -3.885 -2.133 -4.072 -1.661 1914 1 0.398 2.996 0 0 0.398 2.996 -0.517 2.739 1914 2 -0.911 -1.352 0 0 -0.911 -1.352 -0.993 -0.776 1914 3 5.772 1.948 0 0 5.772 1.948 4.556 1.390 1914 4 9.906 1.754 1 0 NaN NaN 8.407 0.913 1914 5 15.176 1.557 0 0 15.176 1.557 14.168 1.208 1914 6 17.882 -1.005 0 0 17.882 -1.005 16.402 -1.826 1914 7 21.971 -1.658 0 0 21.971 -1.658 21.334 -1.636 1914 8 21.906 -0.368 0 0 21.906 -0.368 21.664 0.049 1914 9 15.530 -1.698 0 0 15.530 -1.698 16.336 -0.234 1914 10 11.007 0.380 0 0 11.007 0.380 11.307 1.338 1914 11 3.023 -0.241 1 0 NaN NaN 3.991 1.386 1914 12 -4.655 -2.903 0 0 -4.655 -2.903 -4.885 -2.474 1915 1 -6.508 -3.910 1 0 NaN NaN -5.009 -1.753 1915 2 0.053 -0.388 0 0 0.053 -0.388 0.703 0.920 1915 3 4.619 0.796 0 0 4.619 0.796 3.245 0.079 1915 4 11.685 3.533 0 0 11.685 3.533 9.862 2.368 1915 5 10.100 -3.519 1 0 NaN NaN 11.042 -1.918 1915 6 16.366 -2.520 0 0 16.366 -2.520 15.309 -2.919 1915 7 21.426 -2.203 0 0 21.426 -2.203 21.809 -1.161 1915 8 21.165 -1.109 0 0 21.165 -1.109 21.358 -0.257 1915 9 15.447 -1.782 0 0 15.447 -1.782 15.179 -1.391 1915 10 10.152 -0.476 0 0 10.152 -0.476 11.111 1.142 1915 11 3.983 0.720 0 0 3.983 0.720 3.849 1.244 1915 12 -1.225 0.528 0 0 -1.225 0.528 -1.684 0.727 1916 1 -3.723 -1.125 0 0 -3.723 -1.125 -3.770 -0.514 1916 2 0.357 -0.084 0 0 0.357 -0.084 1.181 1.398 1916 3 6.095 2.271 0 0 6.095 2.271 4.923 1.757 1916 4 9.312 1.160 0 0 9.312 1.160 8.618 1.125 1916 5 11.555 -2.064 0 0 11.555 -2.064 10.620 -2.341 1916 6 17.143 -1.743 0 0 17.143 -1.743 16.409 -1.819 1916 7 21.413 -2.216 0 0 21.413 -2.216 21.790 -1.181 1916 8 19.795 -2.479 0 0 19.795 -2.479 19.690 -1.925 1916 9 15.233 -1.995 0 0 15.233 -1.995 15.732 -0.838 1916 10 NaN NaN NaN NaN NaN NaN 8.701 -1.268 1916 11 NaN NaN NaN NaN NaN NaN 0.709 -1.896 1916 12 NaN NaN NaN NaN NaN NaN -4.434 -2.023 1917 1 NaN NaN NaN NaN NaN NaN -9.740 -6.484 1917 2 NaN NaN NaN NaN NaN NaN -2.885 -2.668 1917 3 NaN NaN NaN NaN NaN NaN -0.929 -4.095 1917 4 NaN NaN NaN NaN NaN NaN 5.414 -2.080 1917 5 NaN NaN NaN NaN NaN NaN 9.713 -3.247 1917 6 NaN NaN NaN NaN NaN NaN 16.379 -1.849 1917 7 NaN NaN NaN NaN NaN NaN 23.673 0.702 1917 8 NaN NaN NaN NaN NaN NaN 20.506 -1.110 1917 9 NaN NaN NaN NaN NaN NaN 16.539 -0.031