% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31266 % Primary Name: SAINT THOMAS % Record Type: TAVG % Country: United States % State: NV % Latitude: 36.41670 +/- 0.00005 % Longitude: -114.33330 +/- 0.00005 % Elevation (m): 487.68 +/- 0.15 % # of Months: 36 % % Alternate Names: Missing Station ID - 267240 % % IDs: coop - 267240 % ghcnd - USC00267240 % ncdc - 12003420 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 515baf073bc677b0bb89c44d3b286c79 % Raw Data Hash: 3fcbefe380dde11b9f83a69361ad57fc % Adj Data Hash: a62f6df5cabb76870539dd0849c11de6 % % 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 1894 4 NaN NaN NaN NaN NaN NaN 12.448 0.565 1894 5 NaN NaN NaN NaN NaN NaN 17.964 0.755 1894 6 NaN NaN NaN NaN NaN NaN 19.560 -3.027 1894 7 NaN NaN NaN NaN NaN NaN 26.268 0.166 1894 8 NaN NaN NaN NaN NaN NaN 24.500 -0.422 1894 9 NaN NaN NaN NaN NaN NaN 20.056 -1.296 1894 10 NaN NaN NaN NaN NaN NaN 16.039 0.784 1894 11 NaN NaN NaN NaN NaN NaN 10.781 2.385 1894 12 NaN NaN NaN NaN NaN NaN 4.505 0.380 1895 1 NaN NaN NaN NaN NaN NaN 2.259 -1.283 1895 2 NaN NaN NaN NaN NaN NaN 5.005 -0.690 1895 3 NaN NaN NaN NaN NaN NaN 7.281 -0.574 1895 4 18.852 2.449 0 0 18.852 2.449 12.756 0.873 1895 5 23.826 2.096 0 0 23.826 2.096 17.761 0.552 1895 6 28.820 1.713 0 0 28.820 1.713 21.192 -1.395 1895 7 30.866 0.244 0 0 30.866 0.244 25.091 -1.011 1895 8 31.242 1.800 0 0 31.242 1.800 25.299 0.376 1895 9 25.667 -0.205 0 0 25.667 -0.205 21.044 -0.308 1895 10 19.877 0.102 0 0 19.877 0.102 15.437 0.181 1895 11 10.693 -2.223 0 0 10.693 -2.223 6.699 -1.698 1895 12 4.031 -4.614 0 0 4.031 -4.614 1.413 -2.712 1896 1 6.289 -1.773 0 0 6.289 -1.773 5.013 1.471 1896 2 NaN NaN NaN NaN NaN NaN 5.916 0.221 1896 3 13.616 1.241 0 0 13.616 1.241 8.028 0.173 1896 4 15.947 -0.456 0 0 15.947 -0.456 10.216 -1.666 1896 5 22.295 0.566 0 0 22.295 0.566 16.239 -0.970 1896 6 29.697 2.590 0 0 29.697 2.590 24.374 1.787 1896 7 31.608 0.986 0 0 31.608 0.986 25.800 -0.301 1896 8 28.391 -1.051 0 0 28.391 -1.051 24.134 -0.788 1896 9 24.495 -1.377 0 0 24.495 -1.377 20.876 -0.476 1896 10 18.416 -1.359 0 0 18.416 -1.359 15.651 0.396 1896 11 NaN NaN NaN NaN NaN NaN 7.608 -0.788 1896 12 6.037 -2.608 1 0 NaN NaN 6.050 1.925 1897 1 3.394 -4.668 1 0 NaN NaN 3.934 0.392 1897 2 8.212 -2.003 0 0 8.212 -2.003 4.062 -1.634 1897 3 8.810 -3.566 0 0 8.810 -3.566 4.442 -3.413 1897 4 NaN NaN NaN NaN NaN NaN 12.539 0.656 1897 5 23.563 1.834 0 0 23.563 1.834 19.256 2.047 1897 6 28.038 0.931 0 0 28.038 0.931 21.764 -0.823 1897 7 32.194 1.572 0 0 32.194 1.572 25.799 -0.303 1897 8 31.002 1.559 0 0 31.002 1.559 25.654 0.732 1897 9 23.165 -2.707 0 0 23.165 -2.707 21.484 0.132 1897 10 17.285 -2.490 0 0 17.285 -2.490 13.969 -1.286 1897 11 5.488 -7.428 1 0 NaN NaN 8.897 0.501 1897 12 -2.976 -11.621 1 0 NaN NaN 2.132 -1.993 1898 1 1.255 -6.807 0 0 1.255 -6.807 -0.114 -3.655 1898 2 9.305 -0.910 0 0 9.305 -0.910 6.397 0.702 1898 3 9.397 -2.979 0 0 9.397 -2.979 5.327 -2.528 1898 4 17.538 1.136 0 0 17.538 1.136 14.715 2.832 1898 5 NaN NaN NaN NaN NaN NaN 15.786 -1.423 1898 6 NaN NaN NaN NaN NaN NaN 22.807 0.220 1898 7 31.468 0.846 0 0 31.468 0.846 27.158 1.056 1898 8 31.806 2.364 0 0 31.806 2.364 26.091 1.169 1898 9 NaN NaN NaN NaN NaN NaN 21.792 0.440 1898 10 NaN NaN NaN NaN NaN NaN 14.464 -0.791 1898 11 NaN NaN NaN NaN NaN NaN 7.351 -1.046 1898 12 NaN NaN NaN NaN NaN NaN 1.656 -2.469 1899 1 NaN NaN NaN NaN NaN NaN 3.542 0.001 1899 2 NaN NaN NaN NaN NaN NaN 5.370 -0.325 1899 3 NaN NaN NaN NaN NaN NaN 7.746 -0.109 1899 4 NaN NaN NaN NaN NaN NaN 12.903 1.020 1899 5 NaN NaN NaN NaN NaN NaN 14.823 -2.386 1899 6 NaN NaN NaN NaN NaN NaN 22.626 0.039 1899 7 NaN NaN NaN NaN NaN NaN 26.792 0.690 1899 8 NaN NaN NaN NaN NaN NaN 22.753 -2.169