% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40268 % Primary Name: LEBANON % Record Type: TAVG % Country: United States % State: OR % Latitude: 44.53330 +/- 0.00005 % Longitude: -122.56670 +/- 0.00005 % Elevation (m): 95.10 +/- 0.15 % # of Months: 61 % % Alternate Names: Missing Station ID - 354817 % % IDs: coop - 354817 % ghcnd - USC00354817 % ncdc - 20016136 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 40005801c69e379a3b62a3897256a45f % Raw Data Hash: 8c24accd9cd35f69027311fec1c5ddd0 % Adj Data Hash: b5a17625dd73b870a62dc3c99463acc2 % % 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 1912 6 NaN NaN NaN NaN NaN NaN 14.126 -0.352 1912 7 NaN NaN NaN NaN NaN NaN 16.861 -0.513 1912 8 NaN NaN NaN NaN NaN NaN 15.999 -1.347 1912 9 NaN NaN NaN NaN NaN NaN 14.446 -0.853 1912 10 NaN NaN NaN NaN NaN NaN 8.396 -2.282 1912 11 NaN NaN NaN NaN NaN NaN 6.541 0.299 1912 12 NaN NaN NaN NaN NaN NaN 3.635 -0.216 1913 1 NaN NaN NaN NaN NaN NaN 1.626 -1.485 1913 2 NaN NaN NaN NaN NaN NaN 3.561 -1.569 1913 3 NaN NaN NaN NaN NaN NaN 4.753 -1.229 1913 4 NaN NaN NaN NaN NaN NaN 7.452 -0.599 1913 5 NaN NaN NaN NaN NaN NaN 11.238 -0.098 1913 6 15.048 -0.848 0 0 15.621 -0.275 13.689 -0.788 1913 7 17.637 -1.155 0 0 18.210 -0.582 16.919 -0.454 1913 8 18.974 0.210 0 0 19.547 0.783 17.819 0.474 1913 9 15.517 -1.200 0 0 16.090 -0.627 14.903 -0.395 1913 10 10.131 -1.966 0 0 10.704 -1.393 10.144 -0.534 1913 11 7.211 -0.450 0 0 7.784 0.123 6.665 0.422 1913 12 3.831 -1.439 0 0 4.404 -0.866 3.500 -0.351 1914 1 7.234 2.705 0 0 7.807 3.278 5.179 2.068 1914 2 5.420 -1.128 0 0 5.993 -0.555 5.362 0.232 1914 3 9.261 1.860 0 0 9.834 2.433 7.816 1.834 1914 4 10.265 0.796 0 0 10.838 1.369 8.734 0.683 1914 5 13.737 0.983 0 0 14.310 1.556 12.685 1.349 1914 6 13.842 -2.055 0 0 14.415 -1.482 13.032 -1.446 1914 7 17.471 -1.321 0 0 18.044 -0.748 17.625 0.251 1914 8 15.014 -3.750 1 0 NaN NaN 17.007 -0.338 1914 9 15.733 -0.984 0 0 16.306 -0.411 13.789 -1.510 1914 10 12.267 0.170 1 0 NaN NaN 11.707 1.029 1914 11 6.753 -0.908 0 0 7.326 -0.335 6.536 0.294 1914 12 1.177 -4.093 0 0 1.750 -3.520 0.867 -2.984 1915 1 2.982 -1.547 0 0 3.555 -0.974 2.495 -0.615 1915 2 5.891 -0.657 0 0 6.464 -0.084 5.667 0.538 1915 3 9.624 2.223 0 0 10.197 2.796 7.887 1.905 1915 4 10.600 1.131 0 0 11.173 1.704 9.407 1.357 1915 5 11.717 -1.037 0 0 12.290 -0.464 10.605 -0.731 1915 6 14.015 -1.881 0 0 14.588 -1.308 13.604 -0.874 1915 7 17.638 -1.154 0 0 18.211 -0.581 16.940 -0.433 1915 8 19.832 1.068 1 0 NaN NaN 18.723 1.377 1915 9 15.377 -1.340 0 0 15.950 -0.767 14.610 -0.688 1915 10 11.581 -0.516 0 0 12.154 0.057 10.843 0.165 1915 11 6.605 -1.056 0 4 6.091 -1.570 5.666 -0.577 1915 12 4.815 -0.456 0 0 4.301 -0.969 3.937 0.085 1916 1 0.463 -4.066 0 0 -0.051 -4.580 -1.593 -4.703 1916 2 8.077 1.529 0 0 7.563 1.015 6.641 1.511 1916 3 7.731 0.330 0 0 7.217 -0.184 5.556 -0.427 1916 4 11.138 1.669 0 0 10.625 1.156 8.219 0.169 1916 5 11.158 -1.596 0 0 10.645 -2.110 9.091 -2.245 1916 6 15.348 -0.548 0 0 14.835 -1.062 13.111 -1.367 1916 7 16.403 -2.389 0 0 15.890 -2.902 15.085 -2.289 1916 8 18.852 0.087 0 0 18.338 -0.426 16.899 -0.447 1916 9 16.846 0.130 1 0 NaN NaN 14.861 -0.437 1916 10 10.777 -1.319 0 0 10.264 -1.833 8.773 -1.906 1916 11 NaN NaN NaN NaN NaN NaN 3.703 -2.540 1916 12 3.605 -1.665 0 0 3.091 -2.179 2.113 -1.739 1917 1 3.765 -0.764 0 0 3.251 -1.278 1.621 -1.490 1917 2 4.563 -1.986 0 0 4.049 -2.499 3.772 -1.357 1917 3 5.475 -1.926 0 0 4.961 -2.440 2.631 -3.351 1917 4 8.868 -0.601 0 0 8.354 -1.115 6.390 -1.661 1917 5 11.612 -1.143 0 0 11.098 -1.657 9.757 -1.579 1917 6 15.525 -0.371 0 0 15.011 -0.885 13.164 -1.314 1917 7 19.842 1.050 0 0 19.328 0.536 18.195 0.822 1917 8 21.029 2.264 0 0 20.515 1.750 18.279 0.933 1917 9 17.288 0.571 1 0 NaN NaN 15.418 0.120 1917 10 13.269 1.173 0 0 12.756 0.659 11.233 0.555 1917 11 8.678 1.017 0 0 8.165 0.504 7.453 1.210 1917 12 NaN NaN NaN NaN NaN NaN 7.294 3.442 1918 1 7.220 2.691 1 0 NaN NaN 5.586 2.475 1918 2 5.916 -0.632 0 0 5.402 -1.146 4.520 -0.609 1918 3 7.902 0.501 0 0 7.388 -0.013 5.662 -0.321 1918 4 10.226 0.757 0 0 9.712 0.243 7.950 -0.101 1918 5 11.744 -1.010 0 0 11.231 -1.524 9.896 -1.440 1918 6 18.666 2.769 0 0 18.152 2.256 16.215 1.737 1918 7 19.052 0.260 0 0 18.538 -0.254 16.869 -0.505 1918 8 19.504 0.739 0 0 18.990 0.225 16.829 -0.517 1918 9 NaN NaN NaN NaN NaN NaN 17.059 1.760 1918 10 NaN NaN NaN NaN NaN NaN 11.456 0.778 1918 11 NaN NaN NaN NaN NaN NaN 5.512 -0.731 1918 12 NaN NaN NaN NaN NaN NaN 3.326 -0.526 1919 1 NaN NaN NaN NaN NaN NaN 2.958 -0.153 1919 2 NaN NaN NaN NaN NaN NaN 4.590 -0.539 1919 3 NaN NaN NaN NaN NaN NaN 5.548 -0.434 1919 4 NaN NaN NaN NaN NaN NaN 8.274 0.224 1919 5 NaN NaN NaN NaN NaN NaN 10.840 -0.496 1919 6 NaN NaN NaN NaN NaN NaN 12.674 -1.804 1919 7 NaN NaN NaN NaN NaN NaN 17.465 0.092 1919 8 NaN NaN NaN NaN NaN NaN 17.394 0.048