% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41228 % Primary Name: MARYHILL % Record Type: TAVG % Country: United States % State: WA % Latitude: 45.71670 +/- 0.00005 % Longitude: -120.78330 +/- 0.00005 % Elevation (m): 182.88 +/- 0.15 % # of Months: 79 % % Alternate Names: Missing Station ID - 455050 % % IDs: coop - 455050 % ghcnd - USC00455050 % ncdc - 12005935 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 6183f73a8a68b02521a20c7b8d35faf1 % Raw Data Hash: b207010172ca6591849cb539aada4736 % Adj Data Hash: 0e20b4dd796161a1f63a9466772db1ba % % 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 5 NaN NaN NaN NaN NaN NaN 10.571 -0.458 1915 6 NaN NaN NaN NaN NaN NaN 14.009 -0.705 1915 7 NaN NaN NaN NaN NaN NaN 17.426 -0.688 1915 8 NaN NaN NaN NaN NaN NaN 19.641 2.011 1915 9 NaN NaN NaN NaN NaN NaN 13.689 -0.550 1915 10 NaN NaN NaN NaN NaN NaN 9.139 0.687 1915 11 NaN NaN NaN NaN NaN NaN 1.564 -1.089 1915 12 NaN NaN NaN NaN NaN NaN -0.094 0.280 1916 1 NaN NaN NaN NaN NaN NaN -8.766 -6.868 1916 2 NaN NaN NaN NaN NaN NaN -0.179 -1.509 1916 3 NaN NaN NaN NaN NaN NaN 3.219 -0.295 1916 4 NaN NaN NaN NaN NaN NaN 6.805 0.016 1916 5 13.348 -2.032 0 0 13.348 -2.032 8.755 -2.275 1916 6 19.085 0.021 1 0 NaN NaN 13.275 -1.440 1916 7 20.807 -1.657 1 0 NaN NaN 15.228 -2.886 1916 8 23.296 1.316 0 0 23.296 1.316 17.467 -0.163 1916 9 19.893 1.304 0 0 19.893 1.304 13.838 -0.400 1916 10 11.942 -0.861 0 0 11.942 -0.861 7.645 -0.807 1916 11 2.352 -4.652 1 0 NaN NaN -0.182 -2.835 1916 12 0.990 -2.987 0 0 0.990 -2.987 -1.941 -1.567 1917 1 1.308 -1.145 0 0 1.308 -1.145 -2.161 -0.264 1917 2 3.052 -2.629 0 0 3.052 -2.629 0.877 -0.453 1917 3 4.823 -3.042 0 0 4.823 -3.042 0.133 -3.382 1917 4 9.457 -1.682 0 0 9.457 -1.682 4.346 -2.442 1917 5 13.969 -1.411 0 0 13.969 -1.411 9.401 -1.629 1917 6 18.793 -0.271 0 0 18.793 -0.271 13.075 -1.639 1917 7 25.361 2.897 0 0 25.361 2.897 18.940 0.827 1917 8 NaN NaN NaN NaN NaN NaN 18.819 1.189 1917 9 19.823 1.234 0 0 19.823 1.234 14.529 0.290 1917 10 13.884 1.081 0 0 13.884 1.081 10.048 1.596 1917 11 6.782 -0.222 0 0 6.782 -0.222 4.210 1.557 1917 12 7.777 3.801 0 0 7.777 3.801 4.309 4.683 1918 1 NaN NaN NaN NaN NaN NaN 1.649 3.546 1918 2 NaN NaN NaN NaN NaN NaN 0.381 -0.949 1918 3 NaN NaN NaN NaN NaN NaN 3.255 -0.260 1918 4 10.826 -0.313 0 0 10.826 -0.313 6.596 -0.192 1918 5 14.141 -1.239 0 0 14.141 -1.239 9.474 -1.556 1918 6 21.917 2.852 0 0 21.917 2.852 16.593 1.879 1918 7 23.303 0.839 0 0 23.303 0.839 17.842 -0.272 1918 8 21.035 -0.945 0 0 21.035 -0.945 16.028 -1.602 1918 9 20.263 1.674 0 0 20.263 1.674 16.396 2.157 1918 10 13.795 0.992 0 0 13.795 0.992 9.507 1.055 1918 11 NaN NaN NaN NaN NaN NaN 2.519 -0.134 1918 12 NaN NaN NaN NaN NaN NaN 0.308 0.681 1919 1 NaN NaN NaN NaN NaN NaN -1.495 0.402 1919 2 6.541 0.860 1 0 NaN NaN 1.091 -0.239 1919 3 7.658 -0.207 0 0 7.658 -0.207 3.318 -0.197 1919 4 11.482 0.343 0 0 11.482 0.343 6.862 0.073 1919 5 15.142 -0.238 0 0 15.142 -0.238 10.501 -0.529 1919 6 18.298 -0.766 0 0 18.298 -0.766 12.809 -1.905 1919 7 23.722 1.258 0 0 23.722 1.258 18.544 0.430 1919 8 24.012 2.031 0 0 24.012 2.031 17.955 0.325 1919 9 17.763 -0.826 0 0 17.763 -0.826 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 0.606 -1.846 0 0 0.606 -1.846 -1.879 0.018 1920 2 3.645 -2.036 0 0 3.645 -2.036 1.456 0.125 1920 3 7.771 -0.093 0 0 7.771 -0.093 2.795 -0.719 1920 4 9.575 -1.564 0 0 9.575 -1.564 4.311 -2.478 1920 5 14.203 -1.177 0 0 14.203 -1.177 9.240 -1.790 1920 6 18.635 -0.430 0 0 18.635 -0.430 13.120 -1.594 1920 7 25.089 2.624 0 0 25.089 2.624 18.457 0.343 1920 8 23.606 1.626 0 0 23.606 1.626 17.934 0.304 1920 9 17.200 -1.389 0 0 17.200 -1.389 12.851 -1.388 1920 10 12.873 0.070 0 0 12.873 0.070 7.734 -0.719 1920 11 5.618 -1.385 0 0 5.618 -1.385 2.051 -0.602 1920 12 3.558 -0.419 0 0 3.558 -0.419 1.003 1.377 1921 1 2.308 -0.145 0 0 2.308 -0.145 -0.853 1.045 1921 2 4.213 -1.468 0 0 4.213 -1.468 2.299 0.969 1921 3 7.934 0.069 0 0 7.934 0.069 3.839 0.325 1921 4 10.207 -0.932 0 0 10.207 -0.932 5.325 -1.463 1921 5 NaN NaN NaN NaN NaN NaN 10.981 -0.048 1921 6 NaN NaN NaN NaN NaN NaN 14.814 0.100 1921 7 NaN NaN NaN NaN NaN NaN 16.967 -1.147 1921 8 NaN NaN NaN NaN NaN NaN 17.312 -0.318 1921 9 15.970 -2.619 0 0 15.970 -2.619 11.707 -2.532 1921 10 14.155 1.352 0 0 14.155 1.352 9.388 0.936 1921 11 6.898 -0.105 0 0 6.898 -0.105 2.632 -0.021 1921 12 NaN NaN NaN NaN NaN NaN -1.956 -1.582 1922 1 -3.818 -6.270 0 0 -3.818 -6.270 -5.913 -4.016 1922 2 NaN NaN NaN NaN NaN NaN -1.289 -2.619 1922 3 5.808 -2.057 0 0 5.808 -2.057 1.137 -2.377 1922 4 9.593 -1.546 0 0 9.593 -1.546 4.595 -2.193 1922 5 NaN NaN NaN NaN NaN NaN 10.475 -0.555 1922 6 NaN NaN NaN NaN NaN NaN 16.485 1.771 1922 7 24.855 2.391 0 0 24.855 2.391 18.944 0.831 1922 8 NaN NaN NaN NaN NaN NaN 17.483 -0.147 1922 9 NaN NaN NaN NaN NaN NaN 14.951 0.713 1922 10 NaN NaN NaN NaN NaN NaN 9.335 0.883 1922 11 NaN NaN NaN NaN NaN NaN 0.693 -1.960 1922 12 -1.397 -5.374 0 0 -1.397 -5.374 -3.326 -2.953 1923 1 3.777 1.325 0 0 3.777 1.325 0.208 2.106 1923 2 -0.968 -6.648 0 0 -0.968 -6.648 -1.921 -3.251 1923 3 6.066 -1.799 0 0 6.066 -1.799 3.102 -0.412 1923 4 11.812 0.673 0 0 11.812 0.673 6.907 0.119 1923 5 15.195 -0.185 0 0 15.195 -0.185 10.623 -0.406 1923 6 18.762 -0.302 1 0 NaN NaN 13.711 -1.003 1923 7 23.911 1.447 0 0 23.911 1.447 18.232 0.118 1923 8 24.394 2.413 0 0 24.394 2.413 18.432 0.802 1923 9 22.025 3.436 0 0 22.025 3.436 15.148 0.910 1923 10 11.659 -1.144 0 0 11.659 -1.144 8.425 -0.028 1923 11 7.257 0.253 0 0 7.257 0.253 4.115 1.462 1923 12 3.298 -0.679 0 0 3.298 -0.679 0.216 0.590 1924 1 -1.415 -3.867 0 0 -1.415 -3.867 -3.350 -1.453 1924 2 6.652 0.971 1 0 NaN NaN 4.437 3.106 1924 3 6.919 -0.945 0 0 6.919 -0.945 2.866 -0.648 1924 4 11.312 0.173 0 0 11.312 0.173 6.883 0.095 1924 5 18.071 2.691 0 0 18.071 2.691 13.663 2.633 1924 6 20.108 1.044 0 0 20.108 1.044 14.986 0.272 1924 7 22.978 0.513 0 0 22.978 0.513 17.755 -0.359 1924 8 22.676 0.696 1 0 NaN NaN 17.045 -0.585 1924 9 18.105 -0.484 0 0 18.105 -0.484 14.166 -0.072 1924 10 NaN NaN NaN NaN NaN NaN 8.267 -0.186 1924 11 NaN NaN NaN NaN NaN NaN 1.497 -1.156 1924 12 NaN NaN NaN NaN NaN NaN -4.080 -3.707 1925 1 NaN NaN NaN NaN NaN NaN 0.928 2.826 1925 2 NaN NaN NaN NaN NaN NaN 4.006 2.676 1925 3 NaN NaN NaN NaN NaN NaN 3.856 0.342 1925 4 NaN NaN NaN NaN NaN NaN 7.848 1.060 1925 5 NaN NaN NaN NaN NaN NaN 12.486 1.457 1925 6 NaN NaN NaN NaN NaN NaN 14.604 -0.110 1925 7 NaN NaN NaN NaN NaN NaN 19.526 1.413 1925 8 NaN NaN NaN NaN NaN NaN 16.731 -0.899 1925 9 NaN NaN NaN NaN NaN NaN 14.104 -0.134