% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35976 % Primary Name: GRANGER % Record Type: TAVG % Country: United States % State: UT % Latitude: 40.70000 +/- 0.00005 % Longitude: -111.96670 +/- 0.00005 % Elevation (m): 1298.45 +/- 0.15 % # of Months: 28 % % Alternate Names: Missing Station ID - 423335 % % IDs: coop - 423335 % ghcnd - USC00423335 % ncdc - 12005529 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 45a5b085eac61d5ca3e96d430aa61620 % Raw Data Hash: 815504e2d0e66e07b31ba4e40fe28b38 % Adj Data Hash: 73ab5469c44774be5e6b48c7e6e4f827 % % 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 9 NaN NaN NaN NaN NaN NaN 18.494 0.706 1910 10 NaN NaN NaN NaN NaN NaN 11.616 0.636 1910 11 NaN NaN NaN NaN NaN NaN 6.330 2.617 1910 12 NaN NaN NaN NaN NaN NaN 0.320 1.509 1911 1 NaN NaN NaN NaN NaN NaN 0.496 2.661 1911 2 NaN NaN NaN NaN NaN NaN -2.130 -2.772 1911 3 NaN NaN NaN NaN NaN NaN 4.782 0.771 1911 4 NaN NaN NaN NaN NaN NaN 7.201 -1.434 1911 5 NaN NaN NaN NaN NaN NaN 13.342 -0.894 1911 6 NaN NaN NaN NaN NaN NaN 18.596 -0.772 1911 7 NaN NaN NaN NaN NaN NaN 22.883 -1.587 1911 8 NaN NaN NaN NaN NaN NaN 22.391 -0.755 1911 9 14.352 -3.201 0 0 14.352 -3.201 17.102 -0.687 1911 10 9.213 -1.532 0 0 9.213 -1.532 9.446 -1.534 1911 11 1.320 -2.157 0 0 1.320 -2.157 1.914 -1.799 1911 12 -4.100 -2.675 1 0 NaN NaN -3.733 -2.544 1912 1 0.027 2.427 1 0 NaN NaN -0.285 1.880 1912 2 1.940 1.534 0 0 1.940 1.534 1.918 1.277 1912 3 3.768 -0.007 0 0 3.768 -0.007 2.830 -1.181 1912 4 7.096 -1.302 0 0 7.096 -1.302 6.594 -2.041 1912 5 11.514 -2.486 0 0 11.514 -2.486 12.845 -1.391 1912 6 18.321 -0.811 0 0 18.321 -0.811 18.800 -0.567 1912 7 21.097 -3.138 0 0 21.097 -3.138 22.321 -2.149 1912 8 20.652 -2.258 0 0 20.652 -2.258 21.188 -1.958 1912 9 13.485 -4.068 1 0 NaN NaN 13.514 -4.275 1912 10 9.426 -1.319 0 0 9.426 -1.319 9.251 -1.729 1912 11 5.065 1.587 0 0 5.065 1.587 4.349 0.636 1912 12 -3.119 -1.695 0 0 -3.119 -1.695 -2.546 -1.357 1913 1 -5.447 -3.047 1 0 NaN NaN -3.715 -1.550 1913 2 NaN NaN NaN NaN NaN NaN -1.269 -1.911 1913 3 NaN NaN NaN NaN NaN NaN 1.849 -2.162 1913 4 9.116 0.717 0 0 9.116 0.717 8.971 0.336 1913 5 NaN NaN NaN NaN NaN NaN 15.041 0.806 1913 6 18.107 -1.025 1 0 NaN NaN 18.214 -1.153 1913 7 21.998 -2.236 1 0 NaN NaN 22.288 -2.182 1913 8 22.670 -0.240 1 0 NaN NaN 22.982 -0.164 1913 9 16.394 -1.159 0 0 16.394 -1.159 16.871 -0.918 1913 10 9.446 -1.299 0 0 9.446 -1.299 9.501 -1.479 1913 11 5.991 2.514 1 0 NaN NaN 5.017 1.304 1913 12 -2.036 -0.612 1 0 NaN NaN -3.090 -1.901 1914 1 0.018 2.418 1 0 NaN NaN -0.060 2.105 1914 2 NaN NaN NaN NaN NaN NaN 0.239 -0.403 1914 3 6.252 2.477 0 0 6.252 2.477 5.563 1.552 1914 4 10.465 2.066 0 0 10.465 2.066 9.640 1.006 1914 5 NaN NaN NaN NaN NaN NaN 15.852 1.616 1914 6 NaN NaN NaN NaN NaN NaN 17.488 -1.879 1914 7 NaN NaN NaN NaN NaN NaN 23.768 -0.702 1914 8 NaN NaN NaN NaN NaN NaN 23.044 -0.102 1914 9 NaN NaN NaN NaN NaN NaN 16.694 -1.095 1914 10 NaN NaN NaN NaN NaN NaN 12.440 1.459 1914 11 NaN NaN NaN NaN NaN NaN 4.690 0.977 1914 12 NaN NaN NaN NaN NaN NaN -4.507 -3.318 1915 1 NaN NaN NaN NaN NaN NaN -3.638 -1.473 1915 2 NaN NaN NaN NaN NaN NaN 2.409 1.767 1915 3 NaN NaN NaN NaN NaN NaN 5.033 1.022 1915 4 NaN NaN NaN NaN NaN NaN 11.821 3.186