% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40167 % Primary Name: KILGORE % Record Type: TAVG % Country: United States % State: ID % Latitude: 44.43330 +/- 0.00005 % Longitude: -111.73330 +/- 0.00005 % Elevation (m): 1950.72 +/- 0.15 % # of Months: 27 % % Alternate Names: Missing Station ID - 104910 % % IDs: coop - 104910 % ghcnd - USC00104910 % ncdc - 12001598 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 2a25a7b9eb885e44b5c738aa43c858e6 % Raw Data Hash: 64c82031ec32911d8a688e74debcf2db % Adj Data Hash: 4e09d12b1849482dbb01aaa6b1e142fc % % 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 1912 1 NaN NaN NaN NaN NaN NaN -8.730 1.140 1912 2 NaN NaN NaN NaN NaN NaN -6.968 0.011 1912 3 NaN NaN NaN NaN NaN NaN -7.627 -3.806 1912 4 NaN NaN NaN NaN NaN NaN 0.848 -1.460 1912 5 NaN NaN NaN NaN NaN NaN 6.755 -1.420 1912 6 NaN NaN NaN NaN NaN NaN 12.340 -0.183 1912 7 NaN NaN NaN NaN NaN NaN 14.768 -2.121 1912 8 NaN NaN NaN NaN NaN NaN 13.548 -2.208 1912 9 NaN NaN NaN NaN NaN NaN 6.592 -4.224 1912 10 NaN NaN NaN NaN NaN NaN 2.992 -1.685 1912 11 NaN NaN NaN NaN NaN NaN -1.670 1.382 1912 12 NaN NaN NaN NaN NaN NaN -9.587 -1.272 1913 1 -11.771 -0.244 0 0 -11.771 -0.244 -11.027 -1.157 1913 2 -13.118 -4.482 0 0 -13.118 -4.482 -11.387 -4.408 1913 3 -6.330 -0.852 1 0 NaN NaN -6.493 -2.671 1913 4 2.605 1.953 0 0 2.605 1.953 2.975 0.667 1913 5 7.662 1.143 0 0 7.662 1.143 8.638 0.462 1913 6 NaN NaN NaN NaN NaN NaN 11.729 -0.793 1913 7 13.107 -2.126 0 0 13.107 -2.126 14.860 -2.030 1913 8 15.129 1.029 0 0 15.129 1.029 15.799 0.043 1913 9 NaN NaN NaN NaN NaN NaN 9.851 -0.965 1913 10 1.055 -1.966 0 0 1.055 -1.966 2.947 -1.730 1913 11 NaN NaN NaN NaN NaN NaN -1.578 1.474 1913 12 -8.765 1.206 1 0 NaN NaN -9.765 -1.450 1914 1 -8.893 2.633 0 0 -8.893 2.633 -7.061 2.809 1914 2 -14.488 -5.853 1 0 NaN NaN -7.834 -0.855 1914 3 NaN NaN NaN NaN NaN NaN -3.510 0.312 1914 4 NaN NaN NaN NaN NaN NaN 3.504 1.196 1914 5 NaN NaN NaN NaN NaN NaN 9.310 1.135 1914 6 11.008 0.142 1 0 NaN NaN 10.754 -1.769 1914 7 14.695 -0.538 0 0 14.695 -0.538 16.728 -0.162 1914 8 13.192 -0.907 0 0 13.192 -0.907 14.983 -0.773 1914 9 NaN NaN NaN NaN NaN NaN 9.101 -1.715 1914 10 5.168 2.147 0 0 5.168 2.147 6.094 1.417 1914 11 NaN NaN NaN NaN NaN NaN -0.872 2.180 1914 12 NaN NaN NaN NaN NaN NaN -12.027 -3.712 1915 1 NaN NaN NaN NaN NaN NaN -9.848 0.022 1915 2 -4.873 3.762 0 0 -4.873 3.762 -3.935 3.044 1915 3 NaN NaN NaN NaN NaN NaN -2.183 1.639 1915 4 5.490 4.839 0 0 5.490 4.839 6.344 4.036 1915 5 5.510 -1.009 0 0 5.510 -1.009 6.936 -1.239 1915 6 8.105 -2.761 0 0 8.105 -2.761 9.173 -3.350 1915 7 12.042 -3.191 0 0 12.042 -3.191 14.298 -2.592 1915 8 14.368 0.268 0 0 14.368 0.268 16.276 0.520 1915 9 NaN NaN NaN NaN NaN NaN 8.747 -2.070 1915 10 2.819 -0.201 0 0 2.819 -0.201 6.342 1.665 1915 11 NaN NaN NaN NaN NaN NaN -3.413 -0.361 1915 12 NaN NaN NaN NaN NaN NaN -8.691 -0.376 1916 1 NaN NaN NaN NaN NaN NaN -13.742 -3.872 1916 2 NaN NaN NaN NaN NaN NaN -5.945 1.033 1916 3 -4.411 1.067 1 0 NaN NaN -1.831 1.991 1916 4 -0.140 -0.791 0 0 -0.140 -0.791 2.882 0.574 1916 5 NaN NaN NaN NaN NaN NaN 4.912 -3.263 1916 6 8.844 -2.022 0 0 8.844 -2.022 9.940 -2.582 1916 7 13.171 -2.062 0 0 13.171 -2.062 16.572 -0.317 1916 8 12.480 -1.619 0 0 12.480 -1.619 14.713 -1.043 1916 9 NaN NaN NaN NaN NaN NaN 9.667 -1.150 1916 10 NaN NaN NaN NaN NaN NaN 3.138 -1.539 1916 11 NaN NaN NaN NaN NaN NaN -6.304 -3.251 1916 12 NaN NaN NaN NaN NaN NaN -12.032 -3.717 1917 1 NaN NaN NaN NaN NaN NaN -13.797 -3.927 1917 2 NaN NaN NaN NaN NaN NaN -8.860 -1.881 1917 3 NaN NaN NaN NaN NaN NaN -9.826 -6.005 1917 4 NaN NaN NaN NaN NaN NaN -0.938 -3.246 1917 5 NaN NaN NaN NaN NaN NaN 6.060 -2.115 1917 6 NaN NaN NaN NaN NaN NaN 10.141 -2.382 1917 7 NaN NaN NaN NaN NaN NaN 18.096 1.207 1917 8 NaN NaN NaN NaN NaN NaN 14.912 -0.844