% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41934 % Primary Name: DEARY % Record Type: TAVG % Country: United States % State: ID % Latitude: 46.80000 +/- 0.00005 % Longitude: -116.56670 +/- 0.00005 % Elevation (m): 869.90 +/- 0.15 % # of Months: 64 % % Alternate Names: Missing Station ID - 102405 % % IDs: coop - 102405 % ghcnd - USC00102405 % ncdc - 12001564 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 9f0b59a36826e712312ae99227858713 % Raw Data Hash: 17f5d51aaedbd3cf737c18541b330dd6 % Adj Data Hash: dee90a87c897c8f0a9b6b5669db5c42b % % 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 1909 1 NaN NaN NaN NaN NaN NaN -6.860 -3.610 1909 2 NaN NaN NaN NaN NaN NaN 1.491 1.215 1909 3 NaN NaN NaN NaN NaN NaN 3.466 0.640 1909 4 NaN NaN NaN NaN NaN NaN 4.824 -2.154 1909 5 NaN NaN NaN NaN NaN NaN 10.289 -1.356 1909 6 NaN NaN NaN NaN NaN NaN 14.785 -0.720 1909 7 NaN NaN NaN NaN NaN NaN 17.387 -1.977 1909 8 NaN NaN NaN NaN NaN NaN 17.343 -1.327 1909 9 NaN NaN NaN NaN NaN NaN 15.090 0.800 1909 10 NaN NaN NaN NaN NaN NaN 8.478 0.436 1909 11 NaN NaN NaN NaN NaN NaN 2.864 1.090 1909 12 NaN NaN NaN NaN NaN NaN -3.897 -2.356 1910 1 -3.683 -0.231 1 0 NaN NaN -4.021 -0.771 1910 2 NaN NaN NaN NaN NaN NaN -3.202 -3.478 1910 3 5.660 3.036 0 0 5.660 3.036 5.696 2.870 1910 4 9.687 2.910 0 0 9.687 2.910 9.005 2.026 1910 5 11.798 0.356 0 0 11.798 0.356 13.306 1.661 1910 6 NaN NaN NaN NaN NaN NaN 14.301 -1.205 1910 7 NaN NaN NaN NaN NaN NaN 19.758 0.394 1910 8 NaN NaN NaN NaN NaN NaN 16.425 -2.245 1910 9 NaN NaN NaN NaN NaN NaN 13.511 -0.779 1910 10 NaN NaN NaN NaN NaN NaN 9.358 1.315 1910 11 2.033 0.461 1 0 NaN NaN 2.477 0.704 1910 12 NaN NaN NaN NaN NaN NaN 0.116 1.657 1911 1 NaN NaN NaN NaN NaN NaN -3.338 -0.088 1911 2 NaN NaN NaN NaN NaN NaN -1.993 -2.269 1911 3 NaN NaN NaN NaN NaN NaN 3.732 0.906 1911 4 NaN NaN NaN NaN NaN NaN 5.992 -0.987 1911 5 9.120 -2.323 0 1 9.013 -2.430 9.716 -1.928 1911 6 NaN NaN NaN NaN NaN NaN 15.457 -0.049 1911 7 NaN NaN NaN NaN NaN NaN 19.408 0.044 1911 8 NaN NaN NaN NaN NaN NaN 17.227 -1.443 1911 9 NaN NaN NaN NaN NaN NaN 12.530 -1.760 1911 10 NaN NaN NaN NaN NaN NaN 7.482 -0.560 1911 11 NaN NaN NaN NaN NaN NaN -0.074 -1.847 1911 12 NaN NaN NaN NaN NaN NaN -2.033 -0.492 1912 1 NaN NaN NaN NaN NaN NaN -4.210 -0.960 1912 2 -0.481 -0.555 0 0 -0.588 -0.662 1.519 1.244 1912 3 0.165 -2.460 0 0 0.057 -2.567 0.994 -1.832 1912 4 6.288 -0.489 0 0 6.181 -0.596 6.754 -0.225 1912 5 10.269 -1.173 0 0 10.162 -1.280 11.756 0.112 1912 6 14.290 -1.014 0 0 14.182 -1.121 15.967 0.462 1912 7 16.505 -2.658 0 0 16.398 -2.765 17.581 -1.784 1912 8 15.158 -3.310 0 0 15.051 -3.418 16.158 -2.512 1912 9 10.827 -3.262 0 0 10.719 -3.369 11.570 -2.720 1912 10 6.805 -1.036 1 0 NaN NaN 6.105 -1.938 1912 11 1.306 -0.266 1 0 NaN NaN 2.793 1.019 1912 12 -0.734 1.009 0 0 -0.841 0.902 -0.646 0.895 1913 1 -4.871 -1.419 0 0 -4.978 -1.526 -5.646 -2.396 1913 2 -4.363 -4.436 0 0 -4.470 -4.544 -4.872 -5.148 1913 3 0.134 -2.490 0 0 0.027 -2.597 -0.313 -3.139 1913 4 6.737 -0.040 0 0 6.629 -0.148 6.573 -0.406 1913 5 9.800 -1.643 0 0 9.693 -1.750 11.420 -0.224 1913 6 15.075 -0.229 1 0 NaN NaN 15.241 -0.264 1913 7 17.616 -1.547 0 0 17.509 -1.654 18.074 -1.290 1913 8 18.313 -0.155 0 0 18.206 -0.263 18.725 0.055 1913 9 14.169 0.080 0 0 14.061 -0.027 13.647 -0.643 1913 10 6.052 -1.789 0 0 5.944 -1.897 6.313 -1.730 1913 11 3.366 1.794 0 0 3.259 1.687 2.765 0.992 1913 12 -0.440 1.302 0 0 -0.547 1.195 -1.509 0.032 1914 1 1.042 4.494 0 0 0.935 4.386 0.380 3.630 1914 2 -0.780 -0.854 0 0 -0.888 -0.961 -0.324 -0.600 1914 3 5.552 2.928 0 0 5.444 2.820 4.278 1.452 1914 4 7.910 1.133 0 0 7.803 1.026 7.429 0.450 1914 5 12.561 1.119 0 0 12.454 1.011 12.641 0.997 1914 6 13.347 -1.956 1 0 NaN NaN 13.780 -1.725 1914 7 20.829 1.666 0 0 20.721 1.558 20.475 1.110 1914 8 18.839 0.370 0 0 18.732 0.263 18.876 0.206 1914 9 12.034 -2.054 0 0 11.927 -2.161 12.664 -1.626 1914 10 9.317 1.476 0 0 9.210 1.369 9.083 1.041 1914 11 3.939 2.368 0 0 3.832 2.261 3.102 1.329 1914 12 -4.188 -2.445 0 0 -4.295 -2.552 -5.155 -3.613 1915 1 -2.876 0.576 1 0 NaN NaN -4.535 -1.285 1915 2 2.243 2.169 0 0 2.136 2.062 2.795 2.519 1915 3 5.553 2.929 0 0 5.446 2.822 5.105 2.279 1915 4 9.125 2.348 0 0 9.018 2.241 9.180 2.202 1915 5 10.061 -1.382 1 0 NaN NaN 11.266 -0.378 1915 6 13.180 -2.124 1 0 NaN NaN 13.802 -1.704 1915 7 16.731 -2.432 0 0 16.624 -2.539 18.070 -1.294 1915 8 NaN NaN NaN NaN NaN NaN 21.494 2.823 1915 9 NaN NaN NaN NaN NaN NaN 12.936 -1.354 1915 10 9.387 1.546 0 0 9.279 1.439 9.304 1.261 1915 11 1.040 -0.532 0 0 0.933 -0.639 0.565 -1.209 1915 12 -0.890 0.853 0 0 -0.997 0.746 -1.499 0.042 1916 1 -8.795 -5.343 0 0 -8.902 -5.451 -10.263 -7.013 1916 2 -0.159 -0.233 0 0 -0.266 -0.340 -0.123 -0.398 1916 3 NaN NaN NaN NaN NaN NaN 2.730 -0.096 1916 4 NaN NaN NaN NaN NaN NaN 6.476 -0.502 1916 5 8.545 -2.898 0 0 8.438 -3.005 8.938 -2.706 1916 6 13.792 -1.512 0 0 13.684 -1.619 13.532 -1.974 1916 7 16.442 -2.721 0 0 16.334 -2.829 17.025 -2.339 1916 8 NaN NaN NaN NaN NaN NaN 18.165 -0.505 1916 9 NaN NaN NaN NaN NaN NaN 13.566 -0.724 1916 10 NaN NaN NaN NaN NaN NaN 6.954 -1.089 1916 11 NaN NaN NaN NaN NaN NaN -1.037 -2.810 1916 12 NaN NaN NaN NaN NaN NaN -5.325 -3.784 1917 1 NaN NaN NaN NaN NaN NaN -4.851 -1.602 1917 2 NaN NaN NaN NaN NaN NaN -1.138 -1.413 1917 3 NaN NaN NaN NaN NaN NaN -1.936 -4.762 1917 4 4.473 -2.304 0 1 5.147 -1.630 4.310 -2.669 1917 5 9.665 -1.778 0 0 10.338 -1.105 10.598 -1.047 1917 6 12.826 -2.478 1 0 NaN NaN 13.165 -2.340 1917 7 18.759 -0.404 0 0 19.432 0.269 19.975 0.610 1917 8 18.548 0.080 0 0 19.222 0.754 19.261 0.591 1917 9 15.273 1.185 0 0 15.947 1.859 15.371 1.081 1917 10 6.302 -1.539 0 0 6.975 -0.866 8.704 0.661 1917 11 4.315 2.743 0 0 4.988 3.417 4.507 2.734 1917 12 NaN NaN NaN NaN NaN NaN 1.907 3.448 1918 1 NaN NaN NaN NaN NaN NaN -0.932 2.318 1918 2 NaN NaN NaN NaN NaN NaN -0.512 -0.788 1918 3 NaN NaN NaN NaN NaN NaN 3.460 0.634 1918 4 NaN NaN NaN NaN NaN NaN 6.995 0.016 1918 5 NaN NaN NaN NaN NaN NaN 10.167 -1.478 1918 6 NaN NaN NaN NaN NaN NaN 17.471 1.966 1918 7 NaN NaN NaN NaN NaN NaN 20.092 0.728 1918 8 NaN NaN NaN NaN NaN NaN 16.944 -1.726 1918 9 NaN NaN NaN NaN NaN NaN 16.665 2.375 1918 10 NaN NaN NaN NaN NaN NaN 10.096 2.053 1918 11 NaN NaN NaN NaN NaN NaN 1.731 -0.043