% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40469 % Primary Name: BROWNLEE % Record Type: TAVG % Country: United States % State: ID % Latitude: 44.73330 +/- 0.00005 % Longitude: -116.81670 +/- 0.00005 % Elevation (m): 1188.72 +/- 0.15 % # of Months: 75 % % Alternate Names: Missing Station ID - 101177 % % IDs: coop - 101177 % ghcnd - USC00101177 % ncdc - 12001548 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: fc0faeb5e6736fb2f5c92d4486d87b7f % Raw Data Hash: fd9f3107b1af2403407f1a642b2c2a07 % Adj Data Hash: 180bc6169fb4dee269ec8edb2fccfe48 % % 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 1915 6 NaN NaN NaN NaN NaN NaN 12.483 -2.566 1915 7 NaN NaN NaN NaN NaN NaN 17.557 -1.871 1915 8 NaN NaN NaN NaN NaN NaN 20.788 2.503 1915 9 NaN NaN NaN NaN NaN NaN 12.153 -1.415 1915 10 NaN NaN NaN NaN NaN NaN 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 NaN NaN NaN NaN NaN NaN -8.043 -2.970 1916 2 NaN NaN NaN NaN NaN NaN -0.997 0.807 1916 3 NaN NaN NaN NaN NaN NaN 2.069 0.863 1916 4 NaN NaN NaN NaN NaN NaN 6.285 0.605 1916 5 NaN NaN NaN NaN NaN NaN 8.006 -2.738 1916 6 12.509 -2.869 0 0 12.509 -2.869 12.499 -2.551 1916 7 16.439 -3.317 0 0 16.439 -3.317 17.949 -1.478 1916 8 18.198 -0.415 0 0 18.198 -0.415 17.101 -1.184 1916 9 12.545 -1.351 0 0 12.545 -1.351 12.743 -0.825 1916 10 6.478 -1.150 0 0 6.478 -1.150 6.015 -1.285 1916 11 0.190 -0.675 0 0 0.190 -0.675 -2.194 -2.731 1916 12 -4.878 -1.271 0 0 -4.878 -1.271 -6.726 -2.790 1917 1 -6.647 -1.902 0 0 -6.647 -1.902 -8.811 -3.739 1917 2 NaN NaN NaN NaN NaN NaN -3.873 -2.069 1917 3 -3.468 -5.002 0 0 -3.468 -5.002 -4.594 -5.800 1917 4 3.875 -2.133 0 0 3.875 -2.133 3.097 -2.583 1917 5 9.469 -1.603 0 0 9.469 -1.603 9.269 -1.476 1917 6 12.972 -2.405 0 0 12.972 -2.405 12.477 -2.573 1917 7 19.737 -0.018 0 0 19.737 -0.018 20.796 1.368 1917 8 18.506 -0.107 0 0 18.506 -0.107 18.638 0.352 1917 9 14.758 0.862 0 0 14.758 0.862 14.576 1.008 1917 10 8.143 0.515 0 0 8.143 0.515 8.106 0.806 1917 11 4.784 3.919 0 0 4.784 3.919 2.831 2.295 1917 12 2.992 6.599 0 0 2.992 6.599 1.686 5.622 1918 1 -1.245 3.499 0 0 -1.245 3.499 -2.196 2.876 1918 2 -1.896 -0.420 0 0 -1.896 -0.420 -2.066 -0.263 1918 3 3.950 2.416 0 0 3.950 2.416 2.268 1.062 1918 4 6.565 0.557 0 0 6.565 0.557 4.825 -0.855 1918 5 9.012 -2.061 0 0 9.012 -2.061 9.197 -1.548 1918 6 17.158 1.781 0 0 17.158 1.781 18.177 3.128 1918 7 17.958 -1.797 0 0 17.958 -1.797 19.414 -0.014 1918 8 14.137 -4.476 0 0 14.137 -4.476 15.789 -2.497 1918 9 13.202 -0.695 0 0 13.202 -0.695 14.504 0.936 1918 10 7.966 0.338 0 0 7.966 0.338 8.812 1.512 1918 11 0.795 -0.070 0 0 0.795 -0.070 0.079 -0.458 1918 12 -8.582 -4.974 1 0 NaN NaN -5.509 -1.573 1919 1 -2.440 2.304 0 0 -2.440 2.304 -4.586 0.486 1919 2 -1.745 -0.269 0 0 -1.745 -0.269 -1.246 0.557 1919 3 2.363 0.829 0 0 2.363 0.829 0.865 -0.341 1919 4 7.533 1.525 0 0 7.533 1.525 6.428 0.748 1919 5 10.089 -0.984 0 0 10.089 -0.984 11.389 0.644 1919 6 15.501 0.123 1 0 NaN NaN 14.787 -0.263 1919 7 19.903 0.148 0 0 19.903 0.148 20.417 0.990 1919 8 19.674 1.061 0 0 19.674 1.061 19.298 1.012 1919 9 NaN NaN NaN NaN NaN NaN 13.397 -0.171 1919 10 3.966 -3.662 0 0 3.966 -3.662 4.228 -3.072 1919 11 0.107 -0.758 0 0 0.107 -0.758 -1.386 -1.923 1919 12 -5.140 -1.533 0 0 -5.140 -1.533 -8.362 -4.426 1920 1 -2.961 1.784 0 0 -2.961 1.784 -5.295 -0.222 1920 2 -0.629 0.847 0 0 -0.629 0.847 -1.104 0.700 1920 3 0.984 -0.550 0 0 0.984 -0.550 0.117 -1.089 1920 4 4.166 -1.842 0 0 4.166 -1.842 3.449 -2.231 1920 5 8.642 -2.430 0 0 8.642 -2.430 9.339 -1.405 1920 6 12.928 -2.449 0 0 12.928 -2.449 13.525 -1.524 1920 7 19.060 -0.696 0 0 19.060 -0.696 20.320 0.892 1920 8 18.255 -0.359 0 0 18.255 -0.359 18.364 0.078 1920 9 13.057 -0.840 0 0 13.057 -0.840 13.045 -0.524 1920 10 5.929 -1.699 0 0 5.929 -1.699 6.195 -1.105 1920 11 1.135 0.270 0 0 1.135 0.270 0.591 0.055 1920 12 -2.228 1.379 0 0 -2.228 1.379 -3.087 0.849 1921 1 -1.398 3.347 1 0 NaN NaN -3.340 1.733 1921 2 -1.599 -0.123 1 0 NaN NaN -1.480 0.324 1921 3 3.174 1.640 0 0 3.174 1.640 1.817 0.611 1921 4 4.903 -1.105 0 0 4.903 -1.105 4.183 -1.496 1921 5 10.340 -0.732 0 0 10.340 -0.732 10.852 0.107 1921 6 15.375 -0.002 0 0 15.375 -0.002 15.668 0.618 1921 7 17.719 -2.036 0 0 17.719 -2.036 19.403 -0.025 1921 8 18.185 -0.428 0 0 18.185 -0.428 18.774 0.488 1921 9 9.720 -4.176 0 0 9.720 -4.176 10.284 -3.284 1921 10 9.626 1.998 0 0 9.626 1.998 9.143 1.843 1921 11 3.482 2.617 0 0 3.482 2.617 2.526 1.989 1921 12 -1.958 1.650 1 0 NaN NaN -3.122 0.814 1922 1 -9.455 -4.711 0 0 -9.455 -4.711 -9.657 -4.585 1922 2 -4.724 -3.248 1 0 NaN NaN -3.823 -2.020 1922 3 -1.453 -2.988 0 0 -1.453 -2.988 -1.622 -2.828 1922 4 2.703 -3.305 1 0 NaN NaN 3.055 -2.625 1922 5 NaN NaN NaN NaN NaN NaN 9.900 -0.844 1922 6 NaN NaN NaN NaN NaN NaN 16.616 1.567 1922 7 NaN NaN NaN NaN NaN NaN 20.056 0.629 1922 8 NaN NaN NaN NaN NaN NaN 19.758 1.473 1922 9 NaN NaN NaN NaN NaN NaN 14.872 1.304 1922 10 NaN NaN NaN NaN NaN NaN 9.208 1.908 1922 11 NaN NaN NaN NaN NaN NaN -0.641 -1.178 1922 12 NaN NaN NaN NaN NaN NaN -5.067 -1.132 1923 1 NaN NaN NaN NaN NaN NaN -3.115 1.957 1923 2 NaN NaN NaN NaN NaN NaN -4.697 -2.893 1923 3 NaN NaN NaN NaN NaN NaN -0.894 -2.101 1923 4 NaN NaN NaN NaN NaN NaN 5.341 -0.339 1923 5 9.556 -1.517 1 0 NaN NaN 10.550 -0.195 1923 6 10.652 -4.726 1 0 NaN NaN 12.823 -2.226 1923 7 18.647 -1.109 1 0 NaN NaN 20.648 1.221 1923 8 17.427 -1.186 1 0 NaN NaN 18.425 0.139 1923 9 NaN NaN NaN NaN NaN NaN 14.840 1.271 1923 10 NaN NaN NaN NaN NaN NaN 6.747 -0.553 1923 11 NaN NaN NaN NaN NaN NaN 1.521 0.984 1923 12 NaN NaN NaN NaN NaN NaN -4.967 -1.031 1924 1 NaN NaN NaN NaN NaN NaN -8.044 -2.972 1924 2 NaN NaN NaN NaN NaN NaN 2.049 3.853 1924 3 NaN NaN NaN NaN NaN NaN -0.702 -1.909 1924 4 NaN NaN NaN NaN NaN NaN 5.507 -0.172 1924 5 NaN NaN NaN NaN NaN NaN 13.555 2.811 1924 6 14.098 -1.279 1 0 NaN NaN 14.674 -0.376 1924 7 18.427 -1.329 1 0 NaN NaN 19.627 0.199 1924 8 NaN NaN NaN NaN NaN NaN 17.562 -0.724 1924 9 NaN NaN NaN NaN NaN NaN 13.562 -0.006 1924 10 NaN NaN NaN NaN NaN NaN 7.628 0.328 1924 11 NaN NaN NaN NaN NaN NaN 0.210 -0.327 1924 12 NaN NaN NaN NaN NaN NaN -8.430 -4.494 1925 1 NaN NaN NaN NaN NaN NaN -3.744 1.328 1925 2 NaN NaN NaN NaN NaN NaN 0.789 2.593 1925 3 NaN NaN NaN NaN NaN NaN 1.917 0.711 1925 4 NaN NaN NaN NaN NaN NaN 7.208 1.528 1925 5 NaN NaN NaN NaN NaN NaN 12.927 2.182 1925 6 NaN NaN NaN NaN NaN NaN 14.568 -0.482 1925 7 NaN NaN NaN NaN NaN NaN 21.426 1.998