% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41394 % Primary Name: TWENTY-FIVE MILE CREEK % Record Type: TAVG % Country: United States % State: WA % Latitude: 45.95000 +/- 0.00005 % Longitude: -120.28330 +/- 0.00005 % Elevation (m): 609.60 +/- 0.15 % # of Months: 57 % % Alternate Names: Missing Station ID - 458630 % % IDs: coop - 458630 % ghcnd - USC00458630 % ncdc - 12006015 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: d25aac683b934f981a4d0a3ab8bb0b5e % Raw Data Hash: 3297932e7eca987ba236715a1f2e9f01 % Adj Data Hash: 574dd79d65b1167fab40e4b4153b2c1e % % 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 1913 7 NaN NaN NaN NaN NaN NaN 17.853 -0.261 1913 8 NaN NaN NaN NaN NaN NaN 18.154 0.524 1913 9 NaN NaN NaN NaN NaN NaN 13.685 -0.553 1913 10 NaN NaN NaN NaN NaN NaN 7.567 -0.886 1913 11 NaN NaN NaN NaN NaN NaN 3.344 0.691 1913 12 NaN NaN NaN NaN NaN NaN -1.176 -0.803 1914 1 NaN NaN NaN NaN NaN NaN 0.964 2.862 1914 2 NaN NaN NaN NaN NaN NaN 1.438 0.108 1914 3 NaN NaN NaN NaN NaN NaN 5.209 1.695 1914 4 NaN NaN NaN NaN NaN NaN 7.481 0.693 1914 5 NaN NaN NaN NaN NaN NaN 12.419 1.389 1914 6 NaN NaN NaN NaN NaN NaN 13.443 -1.271 1914 7 19.918 2.063 0 0 19.918 2.063 18.901 0.787 1914 8 20.537 3.166 0 0 20.537 3.166 18.259 0.629 1914 9 12.835 -1.145 0 0 12.835 -1.145 12.207 -2.032 1914 10 9.871 1.678 0 0 9.871 1.678 9.157 0.705 1914 11 2.605 0.211 0 0 2.605 0.211 2.919 0.266 1914 12 -5.045 -4.412 0 0 -5.045 -4.412 -4.208 -3.834 1915 1 -4.287 -2.130 0 0 -4.287 -2.130 -3.156 -1.259 1915 2 0.602 -0.469 0 0 0.602 -0.469 2.474 1.144 1915 3 5.263 2.008 0 0 5.263 2.008 5.694 2.180 1915 4 10.558 4.029 0 0 10.558 4.029 8.577 1.789 1915 5 11.374 0.604 0 0 11.374 0.604 10.571 -0.458 1915 6 15.476 1.021 0 0 15.476 1.021 14.009 -0.705 1915 7 18.644 0.789 0 0 18.644 0.789 17.426 -0.688 1915 8 22.389 5.018 0 0 22.389 5.018 19.641 2.011 1915 9 14.722 0.742 0 0 14.722 0.742 13.689 -0.550 1915 10 9.177 0.984 0 0 9.177 0.984 9.139 0.687 1915 11 -0.320 -2.714 0 0 -0.320 -2.714 1.564 -1.089 1915 12 -2.777 -2.145 0 0 -2.777 -2.145 -0.094 0.280 1916 1 -10.789 -8.632 0 0 -10.789 -8.632 -8.766 -6.868 1916 2 -3.283 -4.354 0 0 -3.283 -4.354 -0.179 -1.509 1916 3 1.668 -1.587 0 0 1.668 -1.587 3.219 -0.295 1916 4 7.768 1.239 0 0 7.768 1.239 6.805 0.016 1916 5 10.077 -0.693 0 0 10.077 -0.693 8.755 -2.275 1916 6 14.222 -0.233 0 0 14.222 -0.233 13.275 -1.440 1916 7 15.976 -1.879 0 0 15.976 -1.879 15.228 -2.886 1916 8 NaN NaN NaN NaN NaN NaN 17.467 -0.163 1916 9 14.592 0.612 0 0 14.592 0.612 13.838 -0.400 1916 10 9.052 0.858 0 0 9.052 0.858 7.645 -0.807 1916 11 -0.373 -2.767 0 0 -0.373 -2.767 -0.182 -2.835 1916 12 -5.460 -4.827 0 0 -5.460 -4.827 -1.941 -1.567 1917 1 -5.097 -2.941 0 0 -5.097 -2.941 -2.161 -0.264 1917 2 -3.622 -4.693 0 0 -3.622 -4.693 0.877 -0.453 1917 3 -0.467 -3.722 0 0 -0.467 -3.722 0.133 -3.382 1917 4 NaN NaN NaN NaN NaN NaN 4.346 -2.442 1917 5 11.491 0.721 0 0 11.491 0.721 9.401 -1.629 1917 6 13.857 -0.598 0 0 13.857 -0.598 13.075 -1.639 1917 7 19.887 2.032 0 0 19.887 2.032 18.940 0.827 1917 8 20.798 3.428 0 0 20.798 3.428 18.819 1.189 1917 9 15.747 1.767 0 0 15.747 1.767 14.529 0.290 1917 10 10.321 2.128 0 0 10.321 2.128 10.048 1.596 1917 11 3.819 1.425 0 0 3.819 1.425 4.210 1.557 1917 12 -1.007 -0.375 0 0 -1.007 -0.375 4.309 4.683 1918 1 -1.292 0.864 0 0 -1.292 0.864 1.649 3.546 1918 2 -3.629 -4.700 0 0 -3.629 -4.700 0.381 -0.949 1918 3 2.231 -1.024 0 0 2.231 -1.024 3.255 -0.260 1918 4 8.693 2.164 1 0 NaN NaN 6.596 -0.192 1918 5 10.871 0.101 0 0 10.871 0.101 9.474 -1.556 1918 6 17.410 2.955 0 0 17.410 2.955 16.593 1.879 1918 7 19.550 1.695 0 0 19.550 1.695 17.842 -0.272 1918 8 17.652 0.281 0 0 17.652 0.281 16.028 -1.602 1918 9 18.677 4.697 0 0 18.677 4.697 16.396 2.157 1918 10 8.805 0.612 0 0 8.805 0.612 9.507 1.055 1918 11 2.425 0.031 0 0 2.425 0.031 2.519 -0.134 1918 12 -1.478 -0.846 0 0 -1.478 -0.846 0.308 0.681 1919 1 -2.469 -0.313 0 0 -2.469 -0.313 -1.495 0.402 1919 2 -3.412 -4.484 0 0 -3.412 -4.484 1.091 -0.239 1919 3 2.219 -1.036 0 0 2.219 -1.036 3.318 -0.197 1919 4 9.036 2.507 1 0 NaN NaN 6.862 0.073 1919 5 11.479 0.709 0 0 11.479 0.709 10.501 -0.529 1919 6 NaN NaN NaN NaN NaN NaN 12.809 -1.905 1919 7 NaN NaN NaN NaN NaN NaN 18.544 0.430 1919 8 NaN NaN NaN NaN NaN NaN 17.955 0.325 1919 9 NaN NaN NaN NaN NaN NaN 13.040 -1.198 1919 10 NaN NaN NaN NaN NaN NaN 6.549 -1.903 1919 11 NaN NaN NaN NaN NaN NaN 1.968 -0.685 1919 12 NaN NaN NaN NaN NaN NaN -5.386 -5.012 1920 1 NaN NaN NaN NaN NaN NaN -1.879 0.018 1920 2 NaN NaN NaN NaN NaN NaN 1.456 0.125 1920 3 NaN NaN NaN NaN NaN NaN 2.795 -0.719 1920 4 NaN NaN NaN NaN NaN NaN 4.311 -2.478 1920 5 NaN NaN NaN NaN NaN NaN 9.240 -1.790