% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42624 % Primary Name: HUNTERS % Record Type: TAVG % Country: United States % State: WA % Latitude: 48.11670 +/- 0.00005 % Longitude: -118.20000 +/- 0.00005 % Elevation (m): 490.73 +/- 0.15 % # of Months: 65 % % Alternate Names: Missing Station ID - 453850 % % IDs: coop - 453850 % ghcnd - USC00453850 % ncdc - 12005902 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: d1f7429d631245179558a43d181a5e02 % Raw Data Hash: 88150e0f5914b17b842b80b238617be1 % Adj Data Hash: 552f57a5a346494cf6b48a3adfea9023 % % 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 1914 5 NaN NaN NaN NaN NaN NaN 12.641 0.997 1914 6 NaN NaN NaN NaN NaN NaN 13.780 -1.725 1914 7 NaN NaN NaN NaN NaN NaN 20.475 1.110 1914 8 NaN NaN NaN NaN NaN NaN 18.876 0.206 1914 9 NaN NaN NaN NaN NaN NaN 12.664 -1.626 1914 10 NaN NaN NaN NaN NaN NaN 9.083 1.041 1914 11 NaN NaN NaN NaN NaN NaN 3.102 1.329 1914 12 NaN NaN NaN NaN NaN NaN -5.155 -3.613 1915 1 NaN NaN NaN NaN NaN NaN -4.535 -1.285 1915 2 NaN NaN NaN NaN NaN NaN 2.795 2.519 1915 3 NaN NaN NaN NaN NaN NaN 5.105 2.279 1915 4 NaN NaN NaN NaN NaN NaN 9.180 2.202 1915 5 12.711 1.093 0 0 12.033 0.415 11.266 -0.378 1915 6 NaN NaN NaN NaN NaN NaN 13.802 -1.704 1915 7 18.988 -0.350 1 0 NaN NaN 18.070 -1.294 1915 8 22.116 3.473 0 0 21.438 2.794 21.494 2.823 1915 9 13.870 -0.394 0 0 13.191 -1.072 12.936 -1.354 1915 10 9.558 1.542 0 0 8.880 0.863 9.304 1.261 1915 11 0.555 -1.192 0 0 -0.124 -1.870 0.565 -1.209 1915 12 -2.531 -0.963 0 0 -3.209 -1.642 -1.499 0.042 1916 1 -9.982 -6.706 0 0 -10.661 -7.384 -10.263 -7.013 1916 2 -1.307 -1.556 0 0 -1.985 -2.235 -0.123 -0.398 1916 3 4.024 1.225 0 0 3.346 0.546 2.730 -0.096 1916 4 9.057 2.104 0 0 8.378 1.426 6.476 -0.502 1916 5 10.940 -0.678 0 0 10.262 -1.356 8.938 -2.706 1916 6 15.015 -0.464 0 0 14.336 -1.142 13.532 -1.974 1916 7 18.097 -1.241 0 0 17.418 -1.920 17.025 -2.339 1916 8 19.631 0.987 0 0 18.952 0.309 18.165 -0.505 1916 9 15.598 1.335 0 0 14.920 0.656 13.566 -0.724 1916 10 7.811 -0.205 0 0 7.133 -0.883 6.954 -1.089 1916 11 -0.615 -2.362 0 0 -1.294 -3.040 -1.037 -2.810 1916 12 -7.329 -5.761 0 0 -8.008 -6.440 -5.325 -3.784 1917 1 -5.284 -2.007 0 0 -5.962 -2.686 -4.851 -1.602 1917 2 -2.604 -2.853 0 0 -3.282 -3.531 -1.138 -1.413 1917 3 -0.208 -3.007 0 0 -0.887 -3.686 -1.936 -4.762 1917 4 6.445 -0.507 0 0 5.766 -1.186 4.310 -2.669 1917 5 12.055 0.437 0 0 11.376 -0.242 10.598 -1.047 1917 6 14.788 -0.690 0 0 14.110 -1.369 13.165 -2.340 1917 7 20.592 1.254 0 0 19.913 0.575 19.975 0.610 1917 8 20.721 2.077 0 0 20.042 1.399 19.261 0.591 1917 9 12.600 -1.664 0 4 14.127 -0.137 15.371 1.081 1917 10 5.924 -2.092 0 0 7.451 -0.565 8.704 0.661 1917 11 2.258 0.512 0 0 3.785 2.038 4.507 2.734 1917 12 -2.352 -0.784 0 0 -0.825 0.743 1.907 3.448 1918 1 -3.224 0.052 0 0 -1.698 1.579 -0.932 2.318 1918 2 -4.180 -4.429 0 0 -2.654 -2.903 -0.512 -0.788 1918 3 3.384 0.585 0 0 4.910 2.111 3.460 0.634 1918 4 7.593 0.641 0 0 9.120 2.168 6.995 0.016 1918 5 9.371 -2.247 0 0 10.898 -0.720 10.167 -1.478 1918 6 17.025 1.546 0 0 18.552 3.073 17.471 1.966 1918 7 18.698 -0.640 0 0 20.225 0.887 20.092 0.728 1918 8 15.502 -3.142 0 0 17.028 -1.615 16.944 -1.726 1918 9 14.820 0.556 0 0 16.347 2.083 16.665 2.375 1918 10 7.582 -0.434 0 0 9.109 1.093 10.096 2.053 1918 11 0.082 -1.665 0 0 1.608 -0.138 1.731 -0.043 1918 12 -2.889 -1.321 0 0 -1.362 0.205 -0.858 0.683 1919 1 -3.568 -0.291 0 0 -2.041 1.235 -1.452 1.798 1919 2 -2.605 -2.854 0 0 -1.079 -1.328 0.117 -0.158 1919 3 1.594 -1.206 0 0 3.120 0.321 2.489 -0.336 1919 4 7.537 0.584 0 0 9.063 2.111 7.590 0.612 1919 5 9.516 -2.102 0 0 11.043 -0.575 11.289 -0.355 1919 6 13.483 -1.995 0 0 15.010 -0.469 14.141 -1.364 1919 7 20.632 1.294 0 4 19.636 0.298 19.909 0.545 1919 8 20.410 1.766 0 0 19.413 0.770 18.874 0.204 1919 9 14.978 0.715 0 0 13.982 -0.282 13.625 -0.665 1919 10 6.544 -1.473 0 0 5.547 -2.469 5.593 -2.450 1919 11 0.722 -1.025 0 0 -0.275 -2.022 0.097 -1.676 1919 12 -5.131 -3.563 0 0 -6.127 -4.560 -6.122 -4.581 1920 1 -3.777 -0.501 0 0 -4.774 -1.497 -2.957 0.293 1920 2 -0.028 -0.277 0 0 -1.024 -1.273 0.798 0.523 1920 3 4.127 1.328 0 0 3.131 0.332 2.074 -0.752 1920 4 6.477 -0.476 0 0 5.480 -1.472 4.801 -2.178 1920 5 11.052 -0.566 0 0 10.055 -1.563 9.740 -1.904 1920 6 16.987 1.508 0 0 15.990 0.511 13.379 -2.127 1920 7 21.674 2.336 0 0 20.678 1.339 20.816 1.452 1920 8 21.348 2.705 0 0 20.352 1.708 18.822 0.152 1920 9 NaN NaN NaN NaN NaN NaN 13.575 -0.715 1920 10 NaN NaN NaN NaN NaN NaN 7.497 -0.546 1920 11 NaN NaN NaN NaN NaN NaN 2.036 0.263 1920 12 NaN NaN NaN NaN NaN NaN 0.053 1.594 1921 1 -3.237 0.039 0 0 -4.234 -0.957 -1.517 1.733 1921 2 2.452 2.203 0 0 1.455 1.206 0.800 0.524 1921 3 NaN NaN NaN NaN NaN NaN 2.843 0.017 1921 4 NaN NaN NaN NaN NaN NaN 5.300 -1.678 1921 5 NaN NaN NaN NaN NaN NaN 11.820 0.176 1921 6 NaN NaN NaN NaN NaN NaN 16.093 0.587 1921 7 NaN NaN NaN NaN NaN NaN 18.540 -0.825 1921 8 NaN NaN NaN NaN NaN NaN 19.056 0.386 1921 9 NaN NaN NaN NaN NaN NaN 11.037 -3.253 1921 10 NaN NaN NaN NaN NaN NaN 9.501 1.459 1921 11 NaN NaN NaN NaN NaN NaN 1.490 -0.283 1921 12 NaN NaN NaN NaN NaN NaN -2.539 -0.998 1922 1 NaN NaN NaN NaN NaN NaN -7.432 -4.182 1922 2 NaN NaN NaN NaN NaN NaN -3.819 -4.095