% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38049 % Primary Name: CENTRAL POINT % Record Type: TAVG % Country: United States % State: OR % Latitude: 42.40000 +/- 0.00005 % Longitude: -122.86670 +/- 0.00005 % Elevation (m): 382.52 +/- 0.15 % # of Months: 85 % % Alternate Names: Missing Station ID - 351500 % % IDs: coop - 351500 % ghcnd - USC00351500 % ncdc - 12004329 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 3172c3ffa28b83b1b023c53e3cdd7d01 % Raw Data Hash: 72196d52d8b9b5f820ff6e46c7ba7195 % Adj Data Hash: 92f922d5c36d5d8d1b8e3a0d89fd3bb3 % % 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 3 NaN NaN NaN NaN NaN NaN 1.653 -1.508 1912 4 NaN NaN NaN NaN NaN NaN 4.046 -1.707 1912 5 NaN NaN NaN NaN NaN NaN 9.848 -0.057 1912 6 NaN NaN NaN NaN NaN NaN 13.298 -0.579 1912 7 NaN NaN NaN NaN NaN NaN 17.130 -0.761 1912 8 NaN NaN NaN NaN NaN NaN 15.871 -1.462 1912 9 NaN NaN NaN NaN NaN NaN 13.094 -1.276 1912 10 NaN NaN NaN NaN NaN NaN 6.276 -2.581 1912 11 NaN NaN NaN NaN NaN NaN 3.911 0.399 1912 12 NaN NaN NaN NaN NaN NaN -0.334 -0.713 1913 1 NaN NaN NaN NaN NaN NaN -3.384 -3.182 1913 2 NaN NaN NaN NaN NaN NaN 0.418 -1.619 1913 3 6.211 -0.261 1 0 NaN NaN 1.525 -1.635 1913 4 9.792 0.727 0 0 9.568 0.503 5.172 -0.581 1913 5 13.754 0.537 1 0 NaN NaN 10.423 0.518 1913 6 16.588 -0.600 1 0 NaN NaN 12.589 -1.288 1913 7 20.557 -0.645 1 0 NaN NaN 17.055 -0.836 1913 8 20.523 -0.122 0 0 20.299 -0.346 17.791 0.457 1913 9 16.013 -1.668 0 0 15.789 -1.892 14.254 -0.116 1913 10 10.738 -1.430 1 0 NaN NaN 8.530 -0.327 1913 11 7.063 0.239 1 0 NaN NaN 3.788 0.276 1913 12 3.010 -0.681 0 0 2.786 -0.905 -0.257 -0.637 1914 1 5.668 2.559 0 0 5.444 2.335 1.486 1.688 1914 2 5.698 0.350 0 0 5.474 0.126 2.123 0.086 1914 3 9.898 3.427 0 0 9.674 3.203 5.412 2.251 1914 4 10.728 1.664 0 0 10.504 1.440 6.265 0.512 1914 5 14.146 0.929 0 0 13.922 0.705 11.581 1.676 1914 6 16.199 -0.989 0 0 15.975 -1.213 12.725 -1.151 1914 7 22.413 1.211 0 0 22.189 0.987 18.652 0.761 1914 8 19.871 -0.773 0 0 19.647 -0.997 17.708 0.374 1914 9 13.647 -4.034 0 4 14.717 -2.964 12.420 -1.950 1914 10 9.421 -2.746 0 0 10.491 -1.677 9.015 0.159 1914 11 NaN NaN NaN NaN NaN NaN 3.241 -0.272 1914 12 -0.171 -3.862 0 0 0.899 -2.792 -2.973 -3.353 1915 1 2.271 -0.838 0 0 3.341 0.232 -0.363 -0.160 1915 2 4.155 -1.193 0 0 5.225 -0.123 2.530 0.493 1915 3 7.771 1.300 0 0 8.841 2.369 4.705 1.545 1915 4 9.723 0.659 0 0 10.793 1.729 7.245 1.492 1915 5 11.255 -1.961 0 0 12.325 -0.892 8.575 -1.330 1915 6 18.154 0.967 0 0 19.224 2.036 12.675 -1.201 1915 7 21.031 -0.171 0 0 22.100 0.898 17.238 -0.653 1915 8 NaN NaN NaN NaN NaN NaN 19.175 1.842 1915 9 14.365 -3.316 0 0 15.435 -2.246 13.136 -1.234 1915 10 6.893 -5.275 1 0 NaN NaN 9.124 0.267 1915 11 4.710 -2.114 0 0 5.780 -1.044 2.702 -0.810 1915 12 3.167 -0.524 0 0 4.236 0.546 0.729 0.349 1916 1 0.056 -3.052 0 0 1.126 -1.983 -3.882 -3.679 1916 2 5.862 0.514 0 0 6.932 1.583 4.384 2.347 1916 3 6.568 0.097 0 0 7.638 1.167 3.842 0.682 1916 4 9.858 0.794 0 0 10.928 1.864 6.131 0.377 1916 5 NaN NaN NaN NaN NaN NaN 7.691 -2.214 1916 6 NaN NaN NaN NaN 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 NaN NaN NaN NaN NaN NaN 14.378 0.008 1916 10 NaN NaN NaN NaN NaN NaN 7.423 -1.434 1916 11 NaN NaN NaN NaN NaN NaN 0.959 -2.553 1916 12 NaN NaN NaN NaN NaN NaN -2.793 -3.173 1917 1 1.087 -2.021 1 0 NaN NaN -3.625 -3.422 1917 2 NaN NaN NaN NaN NaN NaN -0.357 -2.394 1917 3 NaN NaN NaN NaN NaN NaN -1.040 -4.201 1917 4 NaN NaN NaN NaN NaN NaN 4.024 -1.729 1917 5 NaN NaN NaN NaN NaN NaN 7.983 -1.922 1917 6 16.597 -0.591 0 2 16.267 -0.921 12.684 -1.193 1917 7 22.240 1.038 0 0 21.911 0.708 19.580 1.689 1917 8 21.305 0.661 0 0 20.975 0.331 18.346 1.013 1917 9 NaN NaN NaN NaN NaN NaN 14.559 0.189 1917 10 12.013 -0.155 0 0 11.683 -0.484 9.853 0.997 1917 11 7.610 0.786 0 0 7.280 0.456 4.483 0.970 1917 12 5.042 1.351 0 0 4.712 1.021 2.622 2.242 1918 1 4.858 1.749 0 0 4.528 1.420 1.489 1.692 1918 2 5.200 -0.148 0 0 4.870 -0.478 1.351 -0.687 1918 3 7.711 1.240 0 0 7.381 0.910 3.034 -0.126 1918 4 10.705 1.641 0 0 10.375 1.311 5.590 -0.163 1918 5 NaN NaN NaN NaN NaN NaN 8.433 -1.473 1918 6 21.637 4.450 1 0 NaN NaN 16.502 2.625 1918 7 19.807 -1.395 0 0 19.477 -1.725 17.327 -0.564 1918 8 NaN NaN NaN NaN NaN NaN 16.167 -1.166 1918 9 18.735 1.054 0 0 18.405 0.724 15.969 1.599 1918 10 12.326 0.158 0 0 11.996 -0.172 9.590 0.734 1918 11 4.950 -1.874 0 0 4.620 -2.204 1.927 -1.586 1918 12 2.034 -1.657 0 0 1.704 -1.987 -1.415 -1.794 1919 1 3.542 0.433 0 0 3.212 0.103 -0.163 0.040 1919 2 4.420 -0.929 0 0 4.090 -1.258 0.916 -1.121 1919 3 7.374 0.903 0 0 7.044 0.573 2.264 -0.897 1919 4 10.821 1.756 0 0 10.491 1.427 6.167 0.414 1919 5 14.155 0.938 0 0 13.825 0.609 10.373 0.468 1919 6 15.888 -1.300 0 0 15.558 -1.629 12.467 -1.409 1919 7 21.932 0.730 0 0 21.602 0.400 18.958 1.067 1919 8 21.102 0.457 0 0 20.772 0.128 17.891 0.558 1919 9 16.530 -1.151 0 0 16.200 -1.481 13.396 -0.974 1919 10 8.658 -3.510 0 0 8.328 -3.839 6.119 -2.737 1919 11 4.372 -2.452 0 0 4.042 -2.782 1.614 -1.899 1919 12 0.653 -3.037 0 0 0.324 -3.367 -1.965 -2.344 1920 1 3.223 0.114 0 0 2.893 -0.216 0.365 0.568 1920 2 4.438 -0.910 0 0 4.108 -1.240 1.529 -0.508 1920 3 6.363 -0.108 0 0 6.033 -0.438 1.376 -1.784 1920 4 8.400 -0.664 0 0 8.070 -0.994 3.879 -1.874 1920 5 13.024 -0.192 0 0 12.694 -0.522 8.808 -1.097 1920 6 17.380 0.192 0 0 17.050 -0.137 12.931 -0.946 1920 7 20.471 -0.731 0 0 20.141 -1.061 17.363 -0.528 1920 8 22.044 1.399 0 0 21.714 1.070 18.244 0.911 1920 9 15.737 -1.944 0 0 15.407 -2.274 13.396 -0.974 1920 10 9.889 -2.279 0 0 9.559 -2.609 6.983 -1.873 1920 11 6.042 -0.782 0 0 5.712 -1.112 2.751 -0.762 1920 12 4.677 0.987 0 0 4.348 0.657 0.490 0.110 1921 1 4.000 0.891 0 0 3.670 0.561 -0.228 -0.025 1921 2 5.884 0.536 0 0 5.554 0.206 2.610 0.573 1921 3 9.000 2.529 0 0 8.670 2.199 3.958 0.798 1921 4 10.157 1.092 0 0 9.827 0.763 5.083 -0.670 1921 5 13.331 0.114 0 0 13.001 -0.216 9.167 -0.738 1921 6 18.463 1.276 0 0 18.134 0.946 14.009 0.132 1921 7 20.155 -1.047 0 0 19.825 -1.377 17.425 -0.466 1921 8 21.208 0.564 0 0 20.878 0.234 16.989 -0.344 1921 9 NaN NaN NaN NaN NaN NaN 12.399 -1.971 1921 10 NaN NaN NaN NaN NaN NaN 10.325 1.468 1921 11 NaN NaN NaN NaN NaN NaN 4.501 0.988 1921 12 NaN NaN NaN NaN NaN NaN -0.510 -0.889 1922 1 NaN NaN NaN NaN NaN NaN -3.676 -3.473 1922 2 NaN NaN NaN NaN NaN NaN -0.111 -2.148 1922 3 NaN NaN NaN NaN NaN NaN 0.786 -2.374 1922 4 NaN NaN NaN NaN NaN NaN 3.477 -2.276 1922 5 NaN NaN NaN NaN NaN NaN 9.876 -0.029 1922 6 NaN NaN NaN NaN NaN NaN 15.070 1.193 1922 7 NaN NaN NaN NaN NaN NaN 19.270 1.379 1922 8 NaN NaN NaN NaN NaN NaN 16.183 -1.150