% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37290 % Primary Name: SUPERIOR % Record Type: TAVG % Country: United States % State: WY % Latitude: 41.76670 +/- 0.00005 % Longitude: -108.98330 +/- 0.00005 % Elevation (m): 2225.68 +/- 168.74 % # of Months: 46 % % Alternate Names: Missing Station ID - 488780 % % IDs: coop - 488780 % ghcnd - USC00488780 % ncdc - 12006302 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 4c12e71bc4d3e7715d4f03a4664977af % Raw Data Hash: fef501bbf53445a5a15f18d518e35d88 % Adj Data Hash: 650497f305a816b69ed0e405c7c920a2 % % 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 1913 8 NaN NaN NaN NaN NaN NaN 18.945 0.380 1913 9 NaN NaN NaN NaN NaN NaN 12.348 -1.076 1913 10 NaN NaN NaN NaN NaN NaN 5.524 -1.559 1913 11 NaN NaN NaN NaN NaN NaN 0.913 1.421 1913 12 NaN NaN NaN NaN NaN NaN -8.755 -3.278 1914 1 NaN NaN NaN NaN NaN NaN -6.609 0.067 1914 2 NaN NaN NaN NaN NaN NaN -6.303 -2.394 1914 3 NaN NaN NaN NaN NaN NaN -0.679 -0.362 1914 4 NaN NaN NaN NaN NaN NaN 5.790 0.818 1914 5 NaN NaN NaN NaN NaN NaN 11.657 0.855 1914 6 NaN NaN NaN NaN NaN NaN 14.797 -1.196 1914 7 NaN NaN NaN NaN NaN NaN 19.548 -0.549 1914 8 18.091 0.885 1 0 NaN NaN 17.917 -0.648 1914 9 16.201 4.136 1 0 NaN NaN 13.286 -0.138 1914 10 13.685 7.962 1 0 NaN NaN 8.102 1.019 1914 11 7.034 8.901 1 0 NaN NaN 1.700 2.208 1914 12 NaN NaN NaN NaN NaN NaN -8.975 -3.499 1915 1 NaN NaN NaN NaN NaN NaN -7.985 -1.310 1915 2 -5.589 -0.321 1 0 NaN NaN -2.549 1.360 1915 3 -1.311 0.365 0 0 -1.311 0.365 -0.529 -0.212 1915 4 8.548 4.935 1 0 NaN NaN 8.554 3.581 1915 5 5.565 -3.878 0 0 5.565 -3.878 8.773 -2.029 1915 6 10.695 -3.939 0 0 10.695 -3.939 13.091 -2.903 1915 7 17.854 -0.885 0 0 17.854 -0.885 18.777 -1.321 1915 8 16.797 -0.409 0 0 16.797 -0.409 17.912 -0.653 1915 9 10.458 -1.608 0 0 10.458 -1.608 12.040 -1.385 1915 10 7.514 1.790 0 0 7.514 1.790 8.398 1.316 1915 11 -0.438 1.429 0 0 -0.438 1.429 0.168 0.677 1915 12 -5.760 1.076 0 0 -5.760 1.076 -5.014 0.462 1916 1 -10.853 -2.819 0 0 -10.853 -2.819 -9.115 -2.440 1916 2 -4.386 0.882 0 0 -4.386 0.882 -4.397 -0.488 1916 3 0.913 2.589 0 0 0.913 2.589 0.935 1.252 1916 4 6.110 2.497 0 0 6.110 2.497 5.529 0.557 1916 5 3.839 -5.605 0 0 3.839 -5.605 8.531 -2.271 1916 6 13.622 -1.013 0 0 13.622 -1.013 14.136 -1.858 1916 7 18.552 -0.187 0 0 18.552 -0.187 19.585 -0.512 1916 8 17.395 0.189 0 0 17.395 0.189 17.130 -1.435 1916 9 11.955 -0.111 0 0 11.955 -0.111 12.199 -1.225 1916 10 4.019 -1.704 0 0 4.019 -1.704 6.008 -1.075 1916 11 -4.697 -2.829 0 0 -4.697 -2.829 -2.885 -2.376 1916 12 -9.861 -3.025 0 0 -9.861 -3.025 -8.627 -3.150 1917 1 -12.510 -4.475 0 0 -12.510 -4.475 -11.184 -4.509 1917 2 -8.285 -3.017 1 0 NaN NaN -5.571 -1.662 1917 3 -7.537 -5.861 1 0 NaN NaN -5.348 -5.031 1917 4 -0.217 -3.830 0 0 -0.217 -3.830 2.241 -2.731 1917 5 6.095 -3.348 0 0 6.095 -3.348 7.518 -3.285 1917 6 13.098 -1.536 0 0 13.098 -1.536 14.054 -1.939 1917 7 19.044 0.305 0 0 19.044 0.305 20.914 0.817 1917 8 16.011 -1.195 0 0 16.011 -1.195 17.180 -1.385 1917 9 12.192 0.126 0 0 12.192 0.126 13.612 0.187 1917 10 5.784 0.060 0 0 5.784 0.060 6.945 -0.138 1917 11 0.737 2.604 0 0 0.737 2.604 2.136 2.644 1917 12 -2.395 4.440 0 0 -2.395 4.440 -1.067 4.409 1918 1 NaN NaN NaN NaN NaN NaN -6.755 -0.080 1918 2 -9.478 -4.210 1 0 NaN NaN -4.513 -0.604 1918 3 0.377 2.053 0 0 0.377 2.053 1.846 2.163 1918 4 0.240 -3.374 0 0 0.240 -3.374 2.678 -2.294 1918 5 7.320 -2.123 1 0 NaN NaN 9.896 -0.906 1918 6 NaN NaN NaN NaN NaN NaN 18.180 2.187 1918 7 NaN NaN NaN NaN NaN NaN 19.317 -0.780 1918 8 NaN NaN NaN NaN NaN NaN 17.538 -1.027 1918 9 NaN NaN NaN NaN NaN NaN 12.970 -0.454 1918 10 NaN NaN NaN NaN NaN NaN 8.565 1.482 1918 11 NaN NaN NaN NaN NaN NaN -2.357 -1.849 1918 12 NaN NaN NaN NaN NaN NaN -6.688 -1.212 1919 1 NaN NaN NaN NaN NaN NaN -7.024 -0.348 1919 2 NaN NaN NaN NaN NaN NaN -4.930 -1.021 1919 3 -0.837 0.839 1 0 NaN NaN -0.549 -0.232 1919 4 3.188 -0.425 0 0 3.188 -0.425 5.499 0.527 1919 5 9.783 0.339 0 0 9.783 0.339 11.955 1.153 1919 6 NaN NaN NaN NaN NaN NaN 16.952 0.959 1919 7 NaN NaN NaN NaN NaN NaN 21.612 1.515 1919 8 NaN NaN NaN NaN NaN NaN 18.980 0.414 1919 9 NaN NaN NaN NaN NaN NaN 14.527 1.102 1919 10 NaN NaN NaN NaN NaN NaN 3.580 -3.502 1919 11 NaN NaN NaN NaN NaN NaN -2.278 -1.770 1919 12 NaN NaN NaN NaN NaN NaN -8.299 -2.823 1920 1 NaN NaN NaN NaN NaN NaN -5.587 1.088 1920 2 NaN NaN NaN NaN NaN NaN -3.228 0.681 1920 3 NaN NaN NaN NaN NaN NaN -2.048 -1.731 1920 4 NaN NaN NaN NaN NaN NaN 1.161 -3.812 1920 5 NaN NaN NaN NaN NaN NaN 10.627 -0.175