% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38030 % Primary Name: NEWHALLS ORCHARD % Record Type: TAVG % Country: United States % State: OR % Latitude: 42.38330 +/- 0.00005 % Longitude: -122.90000 +/- 0.00005 % Elevation (m): 406.91 +/- 0.15 % # of Months: 89 % % Alternate Names: Missing Station ID - 356021 % % IDs: coop - 356021 % ghcnd - USC00356021 % ncdc - 12004440 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: fd966973d2d74f3fc0232f57a9b777fb % Raw Data Hash: 555ae8d6439a951662eff29a4bdff58b % Adj Data Hash: 3a8870a52f403eedfed36d579b491050 % % 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 4 NaN NaN NaN NaN NaN NaN 6.265 0.512 1914 5 NaN NaN NaN NaN NaN NaN 11.581 1.676 1914 6 NaN NaN NaN NaN NaN NaN 12.725 -1.151 1914 7 NaN NaN NaN NaN NaN NaN 18.652 0.761 1914 8 NaN NaN NaN NaN NaN NaN 17.708 0.374 1914 9 NaN NaN NaN NaN NaN NaN 12.420 -1.950 1914 10 NaN NaN NaN NaN NaN NaN 9.015 0.159 1914 11 NaN NaN NaN NaN NaN NaN 3.241 -0.272 1914 12 NaN NaN NaN NaN NaN NaN -2.973 -3.353 1915 1 NaN NaN NaN NaN NaN NaN -0.363 -0.160 1915 2 NaN NaN NaN NaN NaN NaN 2.530 0.493 1915 3 NaN NaN NaN NaN NaN NaN 4.705 1.545 1915 4 11.996 1.959 0 0 12.346 2.309 7.245 1.492 1915 5 13.142 -1.047 0 0 13.491 -0.698 8.575 -1.330 1915 6 17.708 -0.452 0 0 18.058 -0.103 12.675 -1.201 1915 7 21.629 -0.546 0 0 21.978 -0.196 17.238 -0.653 1915 8 23.590 1.973 0 0 23.940 2.323 19.175 1.842 1915 9 17.167 -1.487 0 0 17.516 -1.138 13.136 -1.234 1915 10 12.137 -1.003 0 0 12.487 -0.654 9.124 0.267 1915 11 6.785 -1.011 0 0 7.135 -0.662 2.702 -0.810 1915 12 4.532 -0.132 0 0 4.881 0.218 0.729 0.349 1916 1 1.197 -2.885 0 0 1.546 -2.535 -3.882 -3.679 1916 2 8.186 1.865 0 0 8.536 2.214 4.384 2.347 1916 3 8.995 1.551 0 0 9.345 1.900 3.842 0.682 1916 4 11.161 1.124 0 0 11.510 1.473 6.131 0.377 1916 5 NaN NaN NaN NaN NaN NaN 7.691 -2.214 1916 6 17.508 -0.652 1 0 NaN NaN 12.464 -1.413 1916 7 NaN NaN NaN NaN NaN NaN 15.700 -2.191 1916 8 NaN NaN NaN NaN NaN NaN 17.036 -0.297 1916 9 17.912 -0.742 0 0 18.261 -0.393 14.378 0.008 1916 10 10.579 -2.561 0 0 10.928 -2.212 7.423 -1.434 1916 11 NaN NaN NaN NaN NaN NaN 0.959 -2.553 1916 12 0.956 -3.708 1 0 NaN NaN -2.793 -3.173 1917 1 0.729 -3.353 0 0 1.078 -3.003 -3.625 -3.422 1917 2 3.707 -2.614 0 0 4.057 -2.265 -0.357 -2.394 1917 3 4.477 -2.967 0 0 4.827 -2.617 -1.040 -4.201 1917 4 9.519 -0.518 1 0 NaN NaN 4.024 -1.729 1917 5 12.500 -1.689 0 0 12.849 -1.340 7.983 -1.922 1917 6 16.743 -1.417 1 0 NaN NaN 12.684 -1.193 1917 7 23.888 1.713 0 0 24.238 2.063 19.580 1.689 1917 8 NaN NaN NaN NaN NaN NaN 18.346 1.013 1917 9 18.147 -0.507 0 0 18.496 -0.158 14.559 0.189 1917 10 12.610 -0.531 0 0 12.959 -0.181 9.853 0.997 1917 11 5.671 -2.126 0 0 6.020 -1.777 4.483 0.970 1917 12 5.184 0.520 0 0 5.533 0.870 2.622 2.242 1918 1 3.616 -0.465 0 0 3.966 -0.116 1.489 1.692 1918 2 3.891 -2.430 0 0 4.241 -2.081 1.351 -0.687 1918 3 6.573 -0.871 0 0 6.923 -0.521 3.034 -0.126 1918 4 10.177 0.139 0 0 10.526 0.489 5.590 -0.163 1918 5 12.803 -1.386 0 0 13.153 -1.036 8.433 -1.473 1918 6 22.092 3.931 0 0 22.441 4.281 16.502 2.625 1918 7 21.594 -0.581 0 0 21.943 -0.232 17.327 -0.564 1918 8 NaN NaN NaN NaN NaN NaN 16.167 -1.166 1918 9 20.110 1.456 0 0 20.459 1.806 15.969 1.599 1918 10 12.742 -0.398 0 0 13.091 -0.049 9.590 0.734 1918 11 4.917 -2.880 0 0 5.266 -2.531 1.927 -1.586 1918 12 1.600 -3.064 0 0 1.949 -2.714 -1.415 -1.794 1919 1 3.539 -0.543 0 0 3.888 -0.193 -0.163 0.040 1919 2 NaN NaN NaN NaN NaN NaN 0.916 -1.121 1919 3 7.669 0.225 0 4 7.407 -0.037 2.264 -0.897 1919 4 11.817 1.779 0 0 11.555 1.517 6.167 0.414 1919 5 15.268 1.079 0 0 15.006 0.817 10.373 0.468 1919 6 17.857 -0.304 0 0 17.595 -0.566 12.467 -1.409 1919 7 24.074 1.899 0 0 23.812 1.637 18.958 1.067 1919 8 23.435 1.818 0 0 23.173 1.556 17.891 0.558 1919 9 17.453 -1.201 0 0 17.191 -1.463 13.396 -0.974 1919 10 9.781 -3.360 0 0 9.519 -3.622 6.119 -2.737 1919 11 4.716 -3.081 0 0 4.454 -3.343 1.614 -1.899 1919 12 1.221 -3.443 0 0 0.958 -3.705 -1.965 -2.344 1920 1 3.590 -0.491 0 0 3.328 -0.753 0.365 0.568 1920 2 5.538 -0.783 0 0 5.276 -1.045 1.529 -0.508 1920 3 7.175 -0.269 0 0 6.913 -0.531 1.376 -1.784 1920 4 9.360 -0.677 0 0 9.098 -0.939 3.879 -1.874 1920 5 13.929 -0.260 0 0 13.667 -0.522 8.808 -1.097 1920 6 17.587 -0.574 0 0 17.325 -0.836 12.931 -0.946 1920 7 21.450 -0.725 0 0 21.188 -0.987 17.363 -0.528 1920 8 23.084 1.467 0 0 22.822 1.205 18.244 0.911 1920 9 17.105 -1.549 0 0 16.843 -1.811 13.396 -0.974 1920 10 10.982 -2.158 0 0 10.720 -2.420 6.983 -1.873 1920 11 7.030 -0.767 0 0 6.768 -1.029 2.751 -0.762 1920 12 5.092 0.428 0 0 4.830 0.166 0.490 0.110 1921 1 4.344 0.262 0 0 4.081 -0.000 -0.228 -0.025 1921 2 6.541 0.220 1 0 NaN NaN 2.610 0.573 1921 3 9.592 2.148 0 0 9.330 1.886 3.958 0.798 1921 4 10.714 0.677 0 0 10.452 0.415 5.083 -0.670 1921 5 13.819 -0.370 0 0 13.557 -0.632 9.167 -0.738 1921 6 18.717 0.556 0 0 18.455 0.294 14.009 0.132 1921 7 21.573 -0.602 0 0 21.311 -0.864 17.425 -0.466 1921 8 22.118 0.501 0 0 21.856 0.239 16.989 -0.344 1921 9 16.340 -2.314 0 0 16.078 -2.576 12.399 -1.971 1921 10 14.147 1.006 0 0 13.885 0.744 10.325 1.468 1921 11 8.177 0.380 0 0 7.915 0.118 4.501 0.988 1921 12 2.848 -1.815 0 0 2.586 -2.077 -0.510 -0.889 1922 1 1.321 -2.761 0 0 1.059 -3.023 -3.676 -3.473 1922 2 4.130 -2.191 0 0 3.868 -2.453 -0.111 -2.148 1922 3 6.584 -0.860 0 0 6.322 -1.122 0.786 -2.374 1922 4 9.243 -0.794 0 0 8.981 -1.056 3.477 -2.276 1922 5 14.869 0.680 0 0 14.607 0.418 9.876 -0.029 1922 6 19.899 1.738 0 0 19.637 1.476 15.070 1.193 1922 7 23.806 1.631 0 0 23.544 1.369 19.270 1.379 1922 8 20.808 -0.809 0 0 20.546 -1.071 16.183 -1.150 1922 9 19.335 0.681 0 0 19.073 0.419 15.090 0.720 1922 10 12.724 -0.416 0 0 12.462 -0.678 8.962 0.105 1922 11 5.368 -2.428 0 0 5.106 -2.690 1.590 -1.923 1922 12 3.646 -1.017 0 0 3.384 -1.279 -0.552 -0.931 1923 1 3.508 -0.574 0 0 3.246 -0.836 -0.515 -0.313 1923 2 5.109 -1.212 0 0 4.847 -1.474 0.570 -1.467 1923 3 8.260 0.815 0 0 7.998 0.553 2.534 -0.626 1923 4 NaN NaN NaN NaN NaN NaN 5.550 -0.203 1923 5 NaN NaN NaN NaN NaN NaN 9.729 -0.176 1923 6 NaN NaN NaN NaN NaN NaN 12.004 -1.873 1923 7 NaN NaN NaN NaN NaN NaN 17.845 -0.046 1923 8 NaN NaN NaN NaN NaN NaN 17.328 -0.005 1923 9 NaN NaN NaN NaN NaN NaN 15.090 0.720 1923 10 NaN NaN NaN NaN NaN NaN 8.075 -0.781 1923 11 NaN NaN NaN NaN NaN NaN 4.484 0.971 1923 12 NaN NaN NaN NaN NaN NaN -0.764 -1.143 1924 1 NaN NaN NaN NaN NaN NaN -0.980 -0.777 1924 2 NaN NaN NaN NaN NaN NaN 4.170 2.133 1924 3 NaN NaN NaN NaN NaN NaN 1.258 -1.902