% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42194 % Primary Name: LOVELL % Record Type: TAVG % Country: United States % State: ID % Latitude: 47.25000 +/- 0.00005 % Longitude: -117.01670 +/- 0.00005 % Elevation (m): 762.00 +/- 0.15 % # of Months: 28 % % Alternate Names: Missing Station ID - 105395 % % IDs: coop - 105395 % ghcnd - USC00105395 % ncdc - 12001611 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 464f871f1f2c951297bb11d286630e47 % Raw Data Hash: ebd7eac3da472bd4d4f8b7f27c8433d0 % Adj Data Hash: 1e823bb52879acb6e9e1a3136479f38b % % 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 1903 5 NaN NaN NaN NaN NaN NaN 10.733 -0.912 1903 6 NaN NaN NaN NaN NaN NaN 16.992 1.486 1903 7 NaN NaN NaN NaN NaN NaN 17.153 -2.212 1903 8 NaN NaN NaN NaN NaN NaN 17.907 -0.763 1903 9 NaN NaN NaN NaN NaN NaN 11.972 -2.318 1903 10 NaN NaN NaN NaN NaN NaN 8.726 0.683 1903 11 NaN NaN NaN NaN NaN NaN 1.244 -0.529 1903 12 NaN NaN NaN NaN NaN NaN -0.916 0.625 1904 1 NaN NaN NaN NaN NaN NaN -1.407 1.843 1904 2 NaN NaN NaN NaN NaN NaN 0.272 -0.004 1904 3 NaN NaN NaN NaN NaN NaN -0.005 -2.831 1904 4 NaN NaN NaN NaN NaN NaN 7.901 0.922 1904 5 8.347 -2.806 0 0 8.347 -2.806 11.292 -0.353 1904 6 10.943 -4.070 0 0 10.943 -4.070 14.232 -1.273 1904 7 15.948 -2.924 0 0 15.948 -2.924 19.306 -0.058 1904 8 18.526 0.348 1 0 NaN NaN 19.309 0.639 1904 9 14.288 0.490 0 0 14.288 0.490 14.704 0.414 1904 10 11.066 3.516 0 0 11.066 3.516 9.598 1.555 1904 11 7.982 6.701 1 0 NaN NaN 5.186 3.413 1904 12 0.802 2.835 1 0 NaN NaN 0.131 1.672 1905 1 0.647 4.389 0 0 0.647 4.389 -1.799 1.451 1905 2 NaN NaN NaN NaN NaN NaN -1.328 -1.604 1905 3 6.447 4.113 0 0 6.447 4.113 4.719 1.894 1905 4 9.932 3.445 0 0 9.932 3.445 7.777 0.798 1905 5 11.622 0.469 0 0 11.622 0.469 10.902 -0.743 1905 6 14.575 -0.438 0 0 14.575 -0.438 14.049 -1.456 1905 7 19.452 0.579 0 0 19.452 0.579 20.032 0.668 1905 8 20.956 2.778 0 0 20.956 2.778 18.847 0.177 1905 9 12.556 -1.242 1 0 NaN NaN 14.397 0.107 1905 10 5.492 -2.059 0 0 5.492 -2.059 5.230 -2.813 1905 11 NaN NaN NaN NaN NaN NaN 1.447 -0.326 1905 12 NaN NaN NaN NaN NaN NaN -1.184 0.357 1906 1 NaN NaN NaN NaN NaN NaN -1.663 1.587 1906 2 NaN NaN NaN NaN NaN NaN 1.519 1.243 1906 3 5.287 2.953 1 0 NaN NaN 0.715 -2.111 1906 4 7.455 0.969 0 0 7.455 0.969 8.867 1.888 1906 5 11.068 -0.085 0 0 11.068 -0.085 11.652 0.007 1906 6 11.668 -3.345 0 0 11.668 -3.345 13.023 -2.482 1906 7 19.829 0.956 0 0 19.829 0.956 22.478 3.114 1906 8 16.506 -1.672 0 0 16.506 -1.672 18.376 -0.294 1906 9 12.880 -0.918 0 0 12.880 -0.918 14.589 0.299 1906 10 8.469 0.919 0 0 8.469 0.919 9.362 1.320 1906 11 -0.522 -1.803 0 0 -0.522 -1.803 0.744 -1.029 1906 12 -0.137 1.896 0 0 -0.137 1.896 -0.126 1.415 1907 1 -8.524 -4.782 0 0 -8.524 -4.782 -8.130 -4.880 1907 2 NaN NaN NaN NaN NaN NaN 0.856 0.581 1907 3 NaN NaN NaN NaN NaN NaN 2.067 -0.759 1907 4 NaN NaN NaN NaN NaN NaN 5.750 -1.229 1907 5 NaN NaN NaN NaN NaN NaN 12.313 0.669 1907 6 NaN NaN NaN NaN NaN NaN 13.925 -1.581 1907 7 NaN NaN NaN NaN NaN NaN 18.958 -0.407 1907 8 NaN NaN NaN NaN NaN NaN 15.913 -2.757 1907 9 NaN NaN NaN NaN NaN NaN 13.553 -0.737 1907 10 NaN NaN NaN NaN NaN NaN 11.340 3.298 1907 11 NaN NaN NaN NaN NaN NaN 3.400 1.626 1907 12 NaN NaN NaN NaN NaN NaN -0.005 1.536 1908 1 NaN NaN NaN NaN NaN NaN -1.808 1.442