% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39575 % Primary Name: BOISE KING % Record Type: TAVG % Country: United States % State: ID % Latitude: 43.83330 +/- 0.00005 % Longitude: -115.33330 +/- 0.00005 % Elevation (m): 1219.20 +/- 0.15 % # of Months: 82 % % Alternate Names: Missing Station ID - 101019 % % IDs: coop - 101019 % ghcnd - USC00101019 % ncdc - 12001545 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: fff3f93471e7e164925b6d85da877cee % Raw Data Hash: 69fea103a51744becde9323d12f79396 % Adj Data Hash: 0e2434d2ff926c1c2986c69e9884aa37 % % 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 6 NaN NaN NaN NaN NaN NaN 15.320 0.271 1912 7 NaN NaN NaN NaN NaN NaN 17.131 -2.296 1912 8 NaN NaN NaN NaN NaN NaN 16.036 -2.250 1912 9 NaN NaN NaN NaN NaN NaN 10.272 -3.296 1912 10 NaN NaN NaN NaN NaN NaN 5.692 -1.608 1912 11 NaN NaN NaN NaN NaN NaN 1.712 1.176 1912 12 NaN NaN NaN NaN NaN NaN -4.688 -0.752 1913 1 NaN NaN NaN NaN NaN NaN -6.918 -1.845 1913 2 NaN NaN NaN NaN NaN NaN -5.107 -3.303 1913 3 NaN NaN NaN NaN NaN NaN -1.670 -2.876 1913 4 NaN NaN NaN NaN NaN NaN 5.650 -0.030 1913 5 NaN NaN NaN NaN NaN NaN 11.566 0.821 1913 6 13.200 -1.655 1 0 NaN NaN 14.493 -0.557 1913 7 17.202 -2.031 0 0 17.202 -2.031 18.010 -1.418 1913 8 18.718 0.627 0 0 18.718 0.627 18.838 0.552 1913 9 13.483 0.110 0 0 13.483 0.110 13.376 -0.193 1913 10 5.318 -1.788 0 0 5.318 -1.788 5.571 -1.729 1913 11 2.252 1.910 0 0 2.252 1.910 1.896 1.360 1913 12 -6.132 -2.002 0 0 -6.132 -2.002 -5.546 -1.610 1914 1 NaN NaN NaN NaN NaN NaN -2.327 2.745 1914 2 -2.425 -0.426 0 0 -2.425 -0.426 -1.887 -0.083 1914 3 2.389 1.377 0 0 2.389 1.377 2.497 1.291 1914 4 6.993 1.508 0 0 6.993 1.508 6.571 0.891 1914 5 12.353 1.803 0 0 12.353 1.803 12.583 1.839 1914 6 13.447 -1.408 0 0 13.447 -1.408 13.121 -1.928 1914 7 19.334 0.101 0 0 19.334 0.101 20.239 0.812 1914 8 17.911 -0.180 0 0 17.911 -0.180 18.400 0.114 1914 9 11.842 -1.532 0 0 11.842 -1.532 12.029 -1.539 1914 10 8.297 1.192 0 0 8.297 1.192 8.766 1.466 1914 11 NaN NaN NaN NaN NaN NaN 1.170 0.633 1914 12 -7.645 -3.515 0 0 -7.645 -3.515 -8.563 -4.627 1915 1 -4.982 0.285 0 0 -4.982 0.285 -6.628 -1.555 1915 2 0.473 2.472 0 0 0.473 2.472 1.205 3.009 1915 3 3.519 2.508 0 0 3.519 2.508 3.435 2.228 1915 4 9.565 4.080 0 0 9.565 4.080 8.820 3.140 1915 5 8.681 -1.869 0 0 8.681 -1.869 9.551 -1.194 1915 6 11.843 -3.011 0 0 11.843 -3.011 12.483 -2.566 1915 7 16.165 -3.068 0 0 16.165 -3.068 17.557 -1.871 1915 8 19.919 1.828 0 0 19.919 1.828 20.788 2.503 1915 9 12.007 -1.367 0 0 12.007 -1.367 12.153 -1.415 1915 10 8.555 1.450 0 0 8.555 1.450 8.616 1.316 1915 11 NaN NaN NaN NaN NaN NaN -0.376 -0.913 1915 12 NaN NaN NaN NaN NaN NaN -4.076 -0.140 1916 1 -10.175 -4.908 1 0 NaN NaN -8.043 -2.970 1916 2 -6.372 -4.374 1 0 NaN NaN -0.997 0.807 1916 3 2.211 1.200 0 0 2.211 1.200 2.069 0.863 1916 4 5.935 0.450 0 0 5.935 0.450 6.285 0.605 1916 5 6.571 -3.979 0 0 6.571 -3.979 8.006 -2.738 1916 6 11.788 -3.066 0 0 11.788 -3.066 12.499 -2.551 1916 7 17.361 -1.871 0 0 17.361 -1.871 17.949 -1.478 1916 8 15.878 -2.213 0 0 15.878 -2.213 17.101 -1.184 1916 9 10.823 -2.550 0 0 10.823 -2.550 12.743 -0.825 1916 10 5.395 -1.710 0 0 5.395 -1.710 6.015 -1.285 1916 11 -2.887 -3.229 0 0 -2.887 -3.229 -2.194 -2.731 1916 12 -6.855 -2.724 0 0 -6.855 -2.724 -6.726 -2.790 1917 1 -9.571 -4.304 0 0 -9.571 -4.304 -8.811 -3.739 1917 2 -5.064 -3.066 0 0 -5.064 -3.066 -3.873 -2.069 1917 3 -5.377 -6.389 1 0 NaN NaN -4.594 -5.800 1917 4 2.034 -3.451 0 0 2.034 -3.451 3.097 -2.583 1917 5 6.703 -3.847 0 0 6.703 -3.847 9.269 -1.476 1917 6 12.043 -2.811 0 0 12.043 -2.811 12.477 -2.573 1917 7 20.221 0.988 0 0 20.221 0.988 20.796 1.368 1917 8 17.981 -0.110 0 0 17.981 -0.110 18.638 0.352 1917 9 14.760 1.386 0 0 14.760 1.386 14.576 1.008 1917 10 7.858 0.753 0 0 7.858 0.753 8.106 0.806 1917 11 4.447 4.105 0 0 4.447 4.105 2.831 2.295 1917 12 1.524 5.654 0 0 1.524 5.654 1.686 5.622 1918 1 -2.092 3.175 0 0 -2.092 3.175 -2.196 2.876 1918 2 -3.021 -1.023 0 0 -3.021 -1.023 -2.066 -0.263 1918 3 2.985 1.973 0 0 2.985 1.973 2.268 1.062 1918 4 5.263 -0.222 0 0 5.263 -0.222 4.825 -0.855 1918 5 8.856 -1.693 0 0 8.856 -1.693 9.197 -1.548 1918 6 18.530 3.675 0 0 18.530 3.675 18.177 3.128 1918 7 18.894 -0.339 0 0 18.894 -0.339 19.414 -0.014 1918 8 14.868 -3.223 0 0 14.868 -3.223 15.789 -2.497 1918 9 14.183 0.809 0 0 14.183 0.809 14.504 0.936 1918 10 8.366 1.261 0 0 8.366 1.261 8.812 1.512 1918 11 NaN NaN NaN NaN NaN NaN 0.079 -0.458 1918 12 -4.487 -0.357 0 0 -4.487 -0.357 -5.509 -1.573 1919 1 -3.942 1.325 0 0 -3.942 1.325 -4.586 0.486 1919 2 NaN NaN NaN NaN NaN NaN -1.246 0.557 1919 3 0.744 -0.268 0 0 0.744 -0.268 0.865 -0.341 1919 4 6.185 0.700 0 0 6.185 0.700 6.428 0.748 1919 5 11.184 0.634 0 0 11.184 0.634 11.389 0.644 1919 6 15.060 0.205 0 0 15.060 0.205 14.787 -0.263 1919 7 NaN NaN NaN NaN NaN NaN 20.417 0.990 1919 8 19.251 1.160 1 0 NaN NaN 19.298 1.012 1919 9 12.788 -0.586 1 0 NaN NaN 13.397 -0.171 1919 10 3.947 -3.158 0 0 3.947 -3.158 4.228 -3.072 1919 11 -0.547 -0.889 0 0 -0.547 -0.889 -1.386 -1.923 1919 12 -5.408 -1.278 0 0 -5.408 -1.278 -8.362 -4.426 1920 1 -3.268 1.999 0 0 -3.268 1.999 -5.295 -0.222 1920 2 -1.322 0.676 0 0 -1.322 0.676 -1.104 0.700 1920 3 0.384 -0.628 0 0 0.384 -0.628 0.117 -1.089 1920 4 3.540 -1.945 0 0 3.540 -1.945 3.449 -2.231 1920 5 9.018 -1.532 0 0 9.018 -1.532 9.339 -1.405 1920 6 13.468 -1.386 0 0 13.468 -1.386 13.525 -1.524 1920 7 19.018 -0.215 0 0 19.018 -0.215 20.320 0.892 1920 8 18.060 -0.031 0 0 18.060 -0.031 18.364 0.078 1920 9 12.843 -0.530 0 0 12.843 -0.530 13.045 -0.524 1920 10 NaN NaN NaN NaN NaN NaN 6.195 -1.105 1920 11 1.009 0.667 0 0 1.009 0.667 0.591 0.055 1920 12 NaN NaN NaN NaN NaN NaN -3.087 0.849 1921 1 NaN NaN NaN NaN NaN NaN -3.340 1.733 1921 2 NaN NaN NaN NaN NaN NaN -1.480 0.324 1921 3 NaN NaN NaN NaN NaN NaN 1.817 0.611 1921 4 NaN NaN NaN NaN NaN NaN 4.183 -1.496 1921 5 NaN NaN NaN NaN NaN NaN 10.852 0.107 1921 6 NaN NaN NaN NaN NaN NaN 15.668 0.618 1921 7 NaN NaN NaN NaN NaN NaN 19.403 -0.025 1921 8 NaN NaN NaN NaN NaN NaN 18.774 0.488 1921 9 NaN NaN NaN NaN NaN NaN 10.284 -3.284 1921 10 NaN NaN NaN NaN NaN NaN 9.143 1.843 1921 11 NaN NaN NaN NaN NaN NaN 2.526 1.989