% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40545 % Primary Name: MONUMENT RANGER STN % Record Type: TAVG % Country: United States % State: OR % Latitude: 44.81810 +/- 0.00005 % Longitude: -119.42080 +/- 0.00005 % Elevation (m): 603.80 +/- 0.05 % # of Months: 35 % % Alternate Names: MONUMENT RS % % IDs: coop - 355715 % ghcnd - USC00355715 % ncdc - 20016207 % nws - MMCO3 % nws - MONO3 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: f61cdb91d51947df8a2ec347abb5255d % Raw Data Hash: 535981f4433e8d0ad5e2a99b28f1d373 % Adj Data Hash: d6b69af8199b21c54c37d93f5cc96bc3 % % 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 1914 10 NaN NaN NaN NaN NaN NaN 8.423 1.142 1914 11 NaN NaN NaN NaN NaN NaN 1.752 0.695 1914 12 NaN NaN NaN NaN NaN NaN -7.355 -4.515 1915 1 NaN NaN NaN NaN NaN NaN -5.339 -1.295 1915 2 NaN NaN NaN NaN NaN NaN 1.639 2.459 1915 3 NaN NaN NaN NaN NaN NaN 3.593 2.136 1915 4 NaN NaN NaN NaN NaN NaN 7.758 2.549 1915 5 NaN NaN NaN NaN NaN NaN 9.041 -0.885 1915 6 NaN NaN NaN NaN NaN NaN 12.272 -1.919 1915 7 NaN NaN NaN NaN NaN NaN 17.068 -1.482 1915 8 NaN NaN NaN NaN NaN NaN 20.475 2.806 1915 9 NaN NaN NaN NaN NaN NaN 12.099 -1.254 1915 10 10.026 1.321 0 0 10.026 1.321 8.084 0.803 1915 11 2.225 -0.255 0 0 2.225 -0.255 0.245 -0.811 1915 12 -0.927 0.489 0 0 -0.927 0.489 -2.852 -0.013 1916 1 -7.489 -4.869 0 0 -7.489 -4.869 -8.704 -4.660 1916 2 0.822 0.219 0 0 0.822 0.219 -0.099 0.721 1916 3 4.763 1.882 0 0 4.763 1.882 2.450 0.993 1916 4 7.538 0.905 0 0 7.538 0.905 5.797 0.588 1916 5 8.000 -3.350 0 0 8.000 -3.350 7.271 -2.655 1916 6 13.703 -1.912 0 0 13.703 -1.912 11.938 -2.253 1916 7 16.565 -3.409 0 0 16.565 -3.409 16.275 -2.275 1916 8 18.147 -0.946 1 0 NaN NaN 16.538 -1.131 1916 9 14.012 -0.766 0 0 14.012 -0.766 12.595 -0.758 1916 10 6.777 -1.928 0 0 6.777 -1.928 5.686 -1.595 1916 11 1.092 -1.388 0 0 1.092 -1.388 -1.725 -2.781 1916 12 -2.667 -1.250 1 0 NaN NaN -5.024 -2.184 1917 1 -5.089 -2.469 0 0 -5.089 -2.469 -7.405 -3.361 1917 2 NaN NaN NaN NaN NaN NaN -3.223 -2.402 1917 3 -1.254 -4.134 0 0 -1.254 -4.134 -3.818 -5.275 1917 4 5.008 -1.625 0 0 5.008 -1.625 3.063 -2.146 1917 5 9.304 -2.046 0 0 9.304 -2.046 8.062 -1.864 1917 6 12.995 -2.620 0 0 12.995 -2.620 11.979 -2.212 1917 7 20.327 0.354 0 0 20.327 0.354 20.115 1.566 1917 8 19.916 0.823 0 0 19.916 0.823 18.378 0.709 1917 9 15.775 0.998 0 0 15.775 0.998 14.291 0.938 1917 10 10.590 1.885 0 0 10.590 1.885 8.533 1.252 1917 11 5.716 3.235 0 0 5.716 3.235 3.184 2.128 1917 12 4.411 5.827 0 0 4.411 5.827 2.703 5.543 1918 1 0.801 3.420 0 0 0.801 3.420 -1.049 2.995 1918 2 -0.650 -1.254 1 0 NaN NaN -0.965 -0.145 1918 3 4.305 1.424 0 0 4.305 1.424 2.423 0.967 1918 4 6.062 -0.571 0 0 6.062 -0.571 4.390 -0.819 1918 5 8.856 -2.495 0 0 8.856 -2.495 8.422 -1.505 1918 6 17.072 1.457 0 0 17.072 1.457 17.459 3.268 1918 7 18.047 -1.927 0 0 18.047 -1.927 18.678 0.128 1918 8 15.905 -3.187 0 0 15.905 -3.187 15.563 -2.106 1918 9 16.582 1.804 0 0 16.582 1.804 14.941 1.587 1918 10 NaN NaN NaN NaN NaN NaN 8.818 1.537 1918 11 NaN NaN NaN NaN NaN NaN 0.445 -0.611 1918 12 NaN NaN NaN NaN NaN NaN -4.441 -1.601 1919 1 NaN NaN NaN NaN NaN NaN -2.807 1.236 1919 2 NaN NaN NaN NaN NaN NaN -0.760 0.060 1919 3 NaN NaN NaN NaN NaN NaN 1.253 -0.203 1919 4 NaN NaN NaN NaN NaN NaN 6.100 0.891 1919 5 NaN NaN NaN NaN NaN NaN 10.448 0.521 1919 6 NaN NaN NaN NaN NaN NaN 13.597 -0.594 1919 7 NaN NaN NaN NaN NaN NaN 19.669 1.120 1919 8 NaN NaN NaN NaN NaN NaN 18.476 0.808 1919 9 NaN NaN NaN NaN NaN NaN 12.556 -0.797