% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31465 % Primary Name: YOUNTS RANCH % Record Type: TAVG % Country: United States % State: NV % Latitude: 36.66670 +/- 0.00005 % Longitude: -116.50000 +/- 0.00005 % Elevation (m): 844.30 +/- 0.15 % # of Months: 29 % % Alternate Names: Missing Station ID - 269430 % % IDs: coop - 269430 % ghcnd - USC00269430 % ncdc - 12003440 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 7e44b8d2c0caef050d54ec5cd11cc30a % Raw Data Hash: 11d069d5bf7fadf51a4eebd990847b7f % Adj Data Hash: d9a31af5d93aeb1ebae67b5f93ba62fa % % 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 1888 7 NaN NaN NaN NaN NaN NaN 29.741 0.254 1888 8 NaN NaN NaN NaN NaN NaN 28.682 0.373 1888 9 NaN NaN NaN NaN NaN NaN 26.872 2.704 1888 10 NaN NaN NaN NaN NaN NaN 18.341 0.883 1888 11 NaN NaN NaN NaN NaN NaN 10.042 0.041 1888 12 NaN NaN NaN NaN NaN NaN 6.087 0.757 1889 1 NaN NaN NaN NaN NaN NaN 3.598 -1.496 1889 2 NaN NaN NaN NaN NaN NaN 7.784 -0.386 1889 3 NaN NaN NaN NaN NaN NaN 12.198 1.135 1889 4 NaN NaN NaN NaN NaN NaN 16.997 1.919 1889 5 NaN NaN NaN NaN NaN NaN 21.072 0.787 1889 6 NaN NaN NaN NaN NaN NaN 26.866 1.296 1889 7 29.938 0.129 1 0 NaN NaN 30.647 1.160 1889 8 29.194 0.563 0 0 29.194 0.563 29.082 0.773 1889 9 22.800 -1.690 0 0 22.800 -1.690 24.413 0.245 1889 10 17.110 -0.669 0 0 17.110 -0.669 16.854 -0.603 1889 11 10.259 -0.064 0 0 10.259 -0.064 9.725 -0.276 1889 12 9.118 3.466 0 0 9.118 3.466 6.411 1.081 1890 1 4.946 -0.469 0 0 4.946 -0.469 2.595 -2.499 1890 2 7.480 -1.011 0 0 7.480 -1.011 6.788 -1.382 1890 3 12.285 0.901 0 0 12.285 0.901 10.680 -0.382 1890 4 16.426 1.026 0 0 16.426 1.026 15.536 0.457 1890 5 21.272 0.665 0 0 21.272 0.665 21.032 0.746 1890 6 23.722 -2.170 0 0 23.722 -2.170 24.045 -1.525 1890 7 29.552 -0.257 0 0 29.552 -0.257 30.093 0.606 1890 8 26.907 -1.723 0 0 26.907 -1.723 27.320 -0.989 1890 9 23.315 -1.175 0 0 23.315 -1.175 24.031 -0.137 1890 10 15.502 -2.277 0 0 15.502 -2.277 16.906 -0.551 1890 11 11.240 0.917 0 0 11.240 0.917 11.258 1.257 1890 12 8.652 3.000 0 0 8.652 3.000 6.526 1.196 1891 1 NaN NaN NaN NaN NaN NaN 4.604 -0.490 1891 2 7.062 -1.429 0 0 7.062 -1.429 6.570 -1.600 1891 3 11.935 0.551 0 0 11.935 0.551 10.426 -0.636 1891 4 15.722 0.322 0 0 15.722 0.322 14.739 -0.339 1891 5 19.866 -0.741 0 0 19.866 -0.741 19.389 -0.897 1891 6 22.893 -2.999 0 0 22.893 -2.999 23.353 -2.217 1891 7 28.530 -1.279 0 0 28.530 -1.279 29.670 0.183 1891 8 27.330 -1.301 0 0 27.330 -1.301 28.643 0.335 1891 9 22.463 -2.027 0 0 22.463 -2.027 23.569 -0.599 1891 10 17.724 -0.055 0 0 17.724 -0.055 17.932 0.475 1891 11 12.463 2.140 0 0 12.463 2.140 11.308 1.307 1891 12 5.790 0.138 0 0 5.790 0.138 3.657 -1.673 1892 1 NaN NaN NaN NaN NaN NaN 5.484 0.390 1892 2 NaN NaN NaN NaN NaN NaN 8.519 0.349 1892 3 NaN NaN NaN NaN NaN NaN 11.123 0.061 1892 4 NaN NaN NaN NaN NaN NaN 13.962 -1.116 1892 5 NaN NaN NaN NaN NaN NaN 19.755 -0.530 1892 6 NaN NaN NaN NaN NaN NaN 23.797 -1.773 1892 7 NaN NaN NaN NaN NaN NaN 28.336 -1.151 1892 8 NaN NaN NaN NaN NaN NaN 28.296 -0.013 1892 9 NaN NaN NaN NaN NaN NaN 24.352 0.184 1892 10 NaN NaN NaN NaN NaN NaN 16.446 -1.011 1892 11 NaN NaN NaN NaN NaN NaN 10.742 0.740 1892 12 NaN NaN NaN NaN NaN NaN 4.720 -0.610