% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40012 % Primary Name: SMALL 6N % Record Type: TAVG % Country: United States % State: ID % Latitude: 44.29640 +/- 0.00005 % Longitude: -112.40940 +/- 0.00005 % Elevation (m): 1749.55 +/- 0.15 % # of Months: 38 % % Alternate Names: Missing Station ID - 108500 % % IDs: coop - 108500 % ghcnd - USC00108500 % ncdc - 30015522 % nws - SMLI1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: fb6e5be89dcf86f0afa5ef0f86f710e9 % Raw Data Hash: 64a49e546a7b3830f8f2a48afcc33474 % Adj Data Hash: 28d94bbc8948f4c76dd05a208ea9a990 % % 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 2009 9 NaN NaN NaN NaN NaN NaN 13.610 2.793 2009 10 NaN NaN NaN NaN NaN NaN 2.025 -2.653 2009 11 NaN NaN NaN NaN NaN NaN -2.283 0.769 2009 12 NaN NaN NaN NaN NaN NaN -10.719 -2.404 2010 1 NaN NaN NaN NaN NaN NaN -6.667 3.203 2010 2 NaN NaN NaN NaN NaN NaN -6.156 0.823 2010 3 NaN NaN NaN NaN NaN NaN -2.277 1.545 2010 4 NaN NaN NaN NaN NaN NaN 2.128 -0.179 2010 5 NaN NaN NaN NaN NaN NaN 4.991 -3.185 2010 6 NaN NaN NaN NaN NaN NaN 11.141 -1.382 2010 7 NaN NaN NaN NaN NaN NaN 16.451 -0.438 2010 8 NaN NaN NaN NaN NaN NaN 15.125 -0.631 2010 9 13.611 1.473 0 0 13.611 1.473 11.688 0.871 2010 10 8.222 2.224 0 0 8.222 2.224 7.559 2.882 2010 11 -2.611 -0.880 0 0 -2.611 -0.880 -3.789 -0.736 2010 12 -4.722 2.272 0 0 -4.722 2.272 -6.417 1.898 2011 1 -9.056 -0.507 0 0 -9.056 -0.507 -8.937 0.933 2011 2 -9.167 -3.509 0 0 -9.167 -3.509 -8.643 -1.664 2011 3 -1.778 0.723 0 0 -1.778 0.723 -3.249 0.573 2011 4 1.889 -1.740 0 0 1.889 -1.740 0.132 -2.175 2011 5 7.667 -1.830 0 0 7.667 -1.830 6.069 -2.106 2011 6 11.667 -2.177 0 0 11.667 -2.177 10.411 -2.111 2011 7 18.056 -0.155 0 0 18.056 -0.155 17.292 0.403 2011 8 18.056 0.979 0 0 18.056 0.979 16.849 1.093 2011 9 14.778 2.640 0 0 14.778 2.640 12.845 2.028 2011 10 5.889 -0.110 0 0 5.889 -0.110 6.244 1.567 2011 11 -3.278 -1.547 0 0 -3.278 -1.547 -4.165 -1.113 2011 12 -6.981 0.013 0 0 -6.981 0.013 -8.605 -0.290 2012 1 -6.439 2.110 0 0 -6.439 2.110 -6.755 3.115 2012 2 -4.600 1.058 1 0 NaN NaN -5.528 1.451 2012 3 1.623 4.123 0 0 1.623 4.123 -0.553 3.269 2012 4 6.789 3.160 0 0 6.789 3.160 4.987 2.679 2012 5 9.706 0.210 0 0 9.706 0.210 8.281 0.106 2012 6 14.683 0.840 0 0 14.683 0.840 12.573 0.051 2012 7 20.305 2.094 0 0 20.305 2.094 19.131 2.241 2012 8 19.990 2.913 0 0 19.990 2.913 17.801 2.045 2012 9 14.357 2.219 0 0 14.357 2.219 12.544 1.727 2012 10 5.176 -0.823 0 0 5.176 -0.823 4.746 0.069 2012 11 0.343 2.075 0 0 0.343 2.075 -0.569 2.483 2012 12 -6.200 0.794 0 0 -6.200 0.794 -7.147 1.168 2013 1 -9.921 -1.372 0 0 -9.921 -1.372 -10.504 -0.633 2013 2 -6.446 -0.789 0 0 -6.446 -0.789 -6.226 0.753 2013 3 -1.169 1.331 0 0 -1.169 1.331 -3.157 0.664 2013 4 3.725 0.096 0 0 3.725 0.096 1.591 -0.716 2013 5 10.669 1.173 0 0 10.669 1.173 9.252 1.076 2013 6 15.752 1.908 0 0 15.752 1.908 13.228 0.706 2013 7 21.644 3.433 0 0 21.644 3.433 19.365 2.475 2013 8 20.682 3.605 0 0 20.682 3.605 18.154 2.398 2013 9 13.997 1.859 0 0 13.997 1.859 11.922 1.105 2013 10 4.175 -1.823 1 0 NaN NaN 4.055 -0.623