% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39082 % Primary Name: SUNNYSIDE % Record Type: TAVG % Country: United States % State: ID % Latitude: 43.31670 +/- 0.00005 % Longitude: -115.83330 +/- 0.00005 % Elevation (m): 1066.80 +/- 0.15 % # of Months: 131 % % Alternate Names: Missing Station ID - 108850 % % IDs: coop - 108850 % ghcnd - USC00108850 % ncdc - 12001667 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 131fadc64cba99b86e183cbcacf7cfa7 % Raw Data Hash: 822045a8b20ff3e032fe6b0de0435f2b % Adj Data Hash: 733d47c6268d643ce6bfe0335710d4bd % % 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 1908 6 NaN NaN NaN NaN NaN NaN 13.261 -3.079 1908 7 NaN NaN NaN NaN NaN NaN 22.129 0.863 1908 8 NaN NaN NaN NaN NaN NaN 19.064 -0.894 1908 9 NaN NaN NaN NaN NaN NaN 14.262 -0.586 1908 10 NaN NaN NaN NaN NaN NaN 7.370 -1.253 1908 11 NaN NaN NaN NaN NaN NaN 2.750 0.623 1908 12 NaN NaN NaN NaN NaN NaN -2.915 -0.828 1909 1 NaN NaN NaN NaN NaN NaN 0.149 3.385 1909 2 NaN NaN NaN NaN NaN NaN 1.045 1.402 1909 3 NaN NaN NaN NaN NaN NaN 2.358 0.238 1909 4 NaN NaN NaN NaN NaN NaN 4.854 -1.622 1909 5 NaN NaN NaN NaN NaN NaN 9.829 -1.811 1909 6 18.808 0.468 0 0 19.211 0.871 16.513 0.172 1909 7 22.026 -1.239 0 0 22.651 -0.614 20.263 -1.003 1909 8 23.231 1.274 0 0 23.983 2.026 20.359 0.401 1909 9 16.845 -0.002 0 0 17.432 0.585 14.417 -0.431 1909 10 10.818 0.196 0 0 11.189 0.568 9.299 0.676 1909 11 4.991 0.866 0 0 5.280 1.155 3.582 1.456 1909 12 -5.033 -4.946 0 0 -4.812 -4.725 -5.866 -3.780 1910 1 -6.102 -4.864 0 0 -5.945 -4.708 -6.326 -3.089 1910 2 -3.332 -4.975 0 0 -3.041 -4.683 -3.401 -3.045 1910 3 7.994 3.874 0 0 8.555 4.436 5.499 3.379 1910 4 12.077 3.602 0 0 12.697 4.222 9.544 3.069 1910 5 14.647 1.008 0 0 15.086 1.447 12.957 1.317 1910 6 18.580 0.240 0 0 18.982 0.643 16.411 0.070 1910 7 24.682 1.418 0 0 25.307 2.042 22.533 1.267 1910 8 20.463 -1.494 0 0 21.216 -0.741 18.324 -1.634 1910 9 16.310 -0.537 0 0 16.897 0.050 14.571 -0.277 1910 10 10.621 -0.001 0 0 10.993 0.371 9.456 0.834 1910 11 4.538 0.413 0 0 4.827 0.702 3.390 1.264 1910 12 0.879 0.966 0 0 1.100 1.187 -0.328 1.759 1911 1 -0.705 0.533 1 0 NaN NaN -2.332 0.905 1911 2 -3.404 -5.046 0 0 -3.112 -4.755 -3.898 -3.542 1911 3 5.244 1.124 0 0 5.805 1.686 2.736 0.616 1911 4 7.242 -1.233 0 0 7.862 -0.613 4.886 -1.590 1911 5 11.005 -2.634 0 0 11.444 -2.195 9.859 -1.781 1911 6 17.689 -0.651 0 0 18.092 -0.248 15.689 -0.651 1911 7 22.276 -0.989 0 0 22.901 -0.364 20.899 -0.367 1911 8 20.142 -1.815 0 0 20.895 -1.062 18.062 -1.896 1911 9 15.000 -1.847 0 0 15.587 -1.260 13.205 -1.643 1911 10 7.702 -2.920 0 0 8.073 -2.548 7.141 -1.482 1911 11 1.737 -2.389 0 0 2.026 -2.100 0.435 -1.691 1911 12 -0.318 -0.230 0 1 -1.939 -1.852 -3.562 -1.475 1912 1 -0.082 1.155 0 0 -1.768 -0.531 -3.113 0.124 1912 2 2.345 0.702 0 0 0.794 -0.848 0.871 1.228 1912 3 4.877 0.758 0 0 3.597 -0.523 0.875 -1.246 1912 4 9.900 1.425 0 0 8.677 0.202 5.485 -0.991 1912 5 15.153 1.514 0 0 13.750 0.111 10.626 -1.014 1912 6 16.764 -1.576 0 0 15.324 -3.015 15.959 -0.382 1912 7 20.968 -2.297 0 0 19.750 -3.514 18.741 -2.525 1912 8 21.360 -0.597 0 0 20.270 -1.687 17.893 -2.065 1912 9 14.917 -1.931 0 0 13.662 -3.185 11.437 -3.411 1912 10 9.084 -1.538 0 0 7.613 -3.008 6.912 -1.711 1912 11 6.730 2.605 0 0 5.177 1.052 3.145 1.019 1912 12 -0.619 -0.532 0 0 -2.241 -2.153 -3.191 -1.104 1913 1 -2.294 -1.056 0 0 -3.979 -2.742 -5.235 -1.999 1913 2 -0.538 -2.180 0 0 -2.088 -3.731 -2.934 -2.577 1913 3 5.621 1.502 0 0 4.340 0.221 0.225 -1.896 1913 4 11.668 3.193 0 0 10.446 1.971 6.731 0.256 1913 5 17.213 3.574 0 0 15.810 2.171 12.677 1.038 1913 6 20.677 2.337 0 0 19.237 0.897 15.350 -0.990 1913 7 22.695 -0.570 0 0 21.477 -1.787 19.577 -1.688 1913 8 22.955 0.998 0 0 21.865 -0.092 20.329 0.371 1913 9 20.813 3.966 0 0 19.559 2.711 14.633 -0.215 1913 10 NaN NaN NaN NaN NaN NaN 7.436 -1.186 1913 11 4.635 0.510 0 0 3.082 -1.043 3.635 1.509 1913 12 -0.770 -0.683 0 0 -2.391 -2.304 -4.761 -2.674 1914 1 NaN NaN NaN NaN NaN NaN -0.460 2.777 1914 2 NaN NaN NaN NaN NaN NaN -0.249 0.108 1914 3 6.768 2.649 1 0 NaN NaN 3.571 1.451 1914 4 9.799 1.325 0 1 9.799 1.325 7.125 0.650 1914 5 14.960 1.321 0 0 14.960 1.321 13.495 1.856 1914 6 NaN NaN NaN NaN NaN NaN 14.391 -1.950 1914 7 23.852 0.587 1 0 NaN NaN 21.861 0.596 1914 8 22.120 0.163 0 0 22.120 0.163 19.938 -0.020 1914 9 15.133 -1.715 0 0 15.133 -1.715 13.473 -1.376 1914 10 10.502 -0.120 0 0 10.502 -0.120 10.143 1.521 1914 11 5.205 1.080 0 1 5.671 1.546 2.456 0.330 1914 12 -5.652 -5.564 0 0 -5.127 -5.040 -6.924 -4.837 1915 1 -4.597 -3.359 0 0 -4.017 -2.780 -4.604 -1.367 1915 2 3.784 2.141 0 0 4.248 2.605 2.468 2.825 1915 3 7.440 3.321 0 0 7.673 3.554 3.764 1.643 1915 4 12.367 3.892 0 0 12.550 4.075 9.405 2.929 1915 5 12.181 -1.458 0 0 12.518 -1.121 10.372 -1.268 1915 6 15.910 -2.430 0 0 16.279 -2.061 14.046 -2.295 1915 7 21.250 -2.015 0 0 21.429 -1.836 19.666 -1.599 1915 8 25.373 3.416 0 0 25.442 3.485 22.117 2.159 1915 9 14.997 -1.850 0 0 15.208 -1.639 13.204 -1.644 1915 10 12.056 1.435 0 0 12.452 1.830 10.151 1.529 1915 11 3.113 -1.012 0 0 3.579 -0.546 1.741 -0.385 1915 12 -0.971 -0.884 0 0 -0.447 -0.359 -1.855 0.232 1916 1 -4.808 -3.571 0 0 -4.229 -2.991 -5.851 -2.614 1916 2 1.567 -0.075 0 0 2.031 0.389 0.576 0.933 1916 3 6.746 2.627 1 0 NaN NaN 3.516 1.396 1916 4 12.587 4.112 0 0 12.770 4.295 7.589 1.114 1916 5 12.238 -1.401 0 0 12.576 -1.063 9.240 -2.399 1916 6 15.498 -2.841 0 0 15.867 -2.472 14.060 -2.280 1916 7 18.525 -4.740 0 0 18.704 -4.561 20.305 -0.960 1916 8 21.235 -0.722 0 0 21.305 -0.652 18.374 -1.584 1916 9 16.775 -0.072 0 0 16.986 0.139 14.320 -0.528 1916 10 8.397 -2.225 0 0 8.792 -1.829 6.923 -1.699 1916 11 1.085 -3.040 0 0 1.551 -2.574 -0.458 -2.584 1916 12 -3.782 -3.695 0 0 -3.258 -3.171 -4.374 -2.288 1917 1 -8.195 -6.958 0 0 -7.616 -6.378 -8.432 -5.195 1917 2 -3.848 -5.490 0 0 -3.384 -5.026 -3.282 -2.925 1917 3 -2.829 -6.948 0 0 -2.596 -6.715 -3.372 -5.493 1917 4 5.837 -2.638 0 0 6.020 -2.455 4.317 -2.159 1917 5 11.890 -1.749 0 0 12.227 -1.412 9.965 -1.675 1917 6 16.327 -2.013 0 0 16.696 -1.644 14.141 -2.199 1917 7 24.653 1.389 0 0 24.832 1.568 22.690 1.424 1917 8 22.418 0.461 0 0 22.487 0.530 19.679 -0.279 1917 9 17.818 0.971 0 0 18.029 1.182 15.731 0.883 1917 10 11.053 0.432 0 0 11.449 0.827 9.747 1.124 1917 11 5.668 1.543 0 0 6.134 2.009 4.068 1.942 1917 12 4.084 4.171 0 0 4.608 4.695 3.270 5.357 1918 1 0.176 1.413 0 0 0.755 1.993 -0.474 2.762 1918 2 0.705 -0.937 0 0 1.169 -0.473 -0.810 -0.453 1918 3 6.297 2.177 0 0 6.530 2.410 3.061 0.941 1918 4 8.062 -0.413 0 0 8.245 -0.230 5.395 -1.081 1918 5 11.847 -1.792 0 0 12.184 -1.455 10.401 -1.239 1918 6 22.443 4.104 0 0 22.812 4.473 19.709 3.368 1918 7 23.518 0.253 0 0 23.697 0.432 21.542 0.276 1918 8 19.142 -2.815 0 0 19.212 -2.745 17.180 -2.778 1918 9 18.518 1.671 0 0 18.729 1.882 15.662 0.813 1918 10 10.924 0.303 0 0 11.320 0.698 9.812 1.189 1918 11 2.983 -1.142 0 0 3.449 -0.676 1.131 -0.995 1918 12 -1.174 -1.087 0 0 -0.650 -0.563 -3.435 -1.348 1919 1 -0.862 0.375 0 0 -0.283 0.955 -2.516 0.721 1919 2 -1.226 -2.869 1 0 NaN NaN -0.299 0.058 1919 3 4.785 0.666 0 0 5.018 0.899 1.494 -0.626 1919 4 10.365 1.890 0 0 10.549 2.074 7.477 1.002 1919 5 14.711 1.072 0 0 15.049 1.410 13.009 1.369 1919 6 18.899 0.560 0 0 19.269 0.929 16.851 0.510 1919 7 24.398 1.134 0 0 24.577 1.313 22.564 1.298 1919 8 23.489 1.532 0 0 23.558 1.601 21.102 1.144 1919 9 16.942 0.094 0 0 17.153 0.305 15.027 0.179 1919 10 5.208 -5.413 0 0 5.603 -5.018 5.177 -3.445 1919 11 0.669 -3.456 0 0 1.135 -2.990 0.729 -1.397 1919 12 -7.419 -7.332 0 0 -6.895 -6.808 -5.794 -3.708 1920 1 -3.126 -1.888 0 0 -2.546 -1.309 -2.601 0.636 1920 2 0.995 -0.648 0 0 1.459 -0.183 0.744 1.101 1920 3 2.853 -1.266 1 0 NaN NaN 1.140 -0.981 1920 4 NaN NaN NaN NaN NaN NaN 4.013 -2.462 1920 5 NaN NaN NaN NaN NaN NaN 10.584 -1.056 1920 6 NaN NaN NaN NaN NaN NaN 14.566 -1.775 1920 7 NaN NaN NaN NaN NaN NaN 22.152 0.886 1920 8 NaN NaN NaN NaN NaN NaN 19.918 -0.040 1920 9 NaN NaN NaN NaN NaN NaN 14.443 -0.405 1920 10 NaN NaN NaN NaN NaN NaN 7.115 -1.507 1920 11 NaN NaN NaN NaN NaN NaN 1.722 -0.404 1920 12 NaN NaN NaN NaN NaN NaN -1.335 0.752 1921 1 NaN NaN NaN NaN NaN NaN -1.557 1.680 1921 2 NaN NaN NaN NaN NaN NaN 0.184 0.541 1921 3 NaN 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NaN -1.279 1.958 1923 2 NaN NaN NaN NaN NaN NaN -3.946 -3.589 1923 3 NaN NaN NaN NaN NaN NaN 0.414 -1.706 1923 4 NaN NaN NaN NaN NaN NaN 5.618 -0.858 1923 5 NaN NaN NaN NaN NaN NaN 11.332 -0.308 1923 6 NaN NaN NaN NaN NaN NaN 13.712 -2.629 1923 7 NaN NaN NaN NaN NaN NaN 22.320 1.055 1923 8 NaN NaN NaN NaN NaN NaN 19.769 -0.189 1923 9 NaN NaN NaN NaN NaN NaN 15.690 0.842 1923 10 NaN NaN NaN NaN NaN NaN 7.563 -1.060 1923 11 NaN NaN NaN NaN NaN NaN 3.324 1.197 1923 12 NaN NaN NaN NaN NaN NaN -3.262 -1.175 1924 1 NaN NaN NaN NaN NaN NaN -5.712 -2.475