% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37924 % Primary Name: GARDNERS RANCH % Record Type: TAVG % Country: United States % State: OR % Latitude: 42.28330 +/- 0.00005 % Longitude: -122.75000 +/- 0.00005 % Elevation (m): 584.36 +/- 326.97 % # of Months: 140 % % Alternate Names: Missing Station ID - 353195 % % IDs: coop - 353195 % ghcnd - USC00353195 % ncdc - 12004372 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 89799e573ad2d3b0d10ec1846b700afa % Raw Data Hash: f3cb5929ead8009b5027ef5fd7355017 % Adj Data Hash: ee12e688a0f93bc3c6db2d7bd53d5071 % % 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 2 NaN NaN NaN NaN NaN NaN 3.554 1.517 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 4.568 -2.476 0 0 4.568 -2.476 0.418 -1.619 1913 3 7.555 -0.612 0 0 7.555 -0.612 1.525 -1.635 1913 4 9.728 -1.031 0 0 9.728 -1.031 5.172 -0.581 1913 5 14.623 -0.289 0 0 14.623 -0.289 10.423 0.518 1913 6 16.577 -2.306 0 0 16.577 -2.306 12.589 -1.288 1913 7 20.527 -2.370 0 0 20.527 -2.370 17.055 -0.836 1913 8 21.616 -0.723 0 0 21.616 -0.723 17.791 0.457 1913 9 18.885 -0.491 0 0 18.885 -0.491 14.254 -0.116 1913 10 13.302 -0.561 0 0 13.302 -0.561 8.530 -0.327 1913 11 8.403 -0.116 0 0 8.403 -0.116 3.788 0.276 1913 12 4.224 -1.162 0 0 4.224 -1.162 -0.257 -0.637 1914 1 7.006 2.203 0 0 7.006 2.203 1.486 1.688 1914 2 6.393 -0.651 0 0 6.393 -0.651 2.123 0.086 1914 3 11.135 2.969 0 0 11.135 2.969 5.412 2.251 1914 4 11.621 0.861 0 0 11.621 0.861 6.265 0.512 1914 5 16.093 1.182 0 0 16.093 1.182 11.581 1.676 1914 6 NaN NaN NaN NaN NaN NaN 12.725 -1.151 1914 7 23.802 0.905 0 0 23.802 0.905 18.652 0.761 1914 8 23.200 0.861 0 0 23.200 0.861 17.708 0.374 1914 9 16.643 -2.733 0 0 16.643 -2.733 12.420 -1.950 1914 10 13.068 -0.795 0 0 13.068 -0.795 9.015 0.159 1914 11 6.758 -1.761 0 0 6.758 -1.761 3.241 -0.272 1914 12 2.189 -3.197 0 0 2.189 -3.197 -2.973 -3.353 1915 1 5.880 1.077 0 0 5.880 1.077 -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 13.098 2.339 0 0 13.098 2.339 7.245 1.492 1915 5 12.884 -2.028 0 0 12.884 -2.028 8.575 -1.330 1915 6 18.245 -0.638 0 0 18.245 -0.638 12.675 -1.201 1915 7 22.294 -0.604 0 0 22.294 -0.604 17.238 -0.653 1915 8 24.293 1.954 0 0 24.293 1.954 19.175 1.842 1915 9 17.847 -1.529 0 0 17.847 -1.529 13.136 -1.234 1915 10 14.050 0.187 0 0 14.050 0.187 9.124 0.267 1915 11 7.003 -1.516 0 0 7.003 -1.516 2.702 -0.810 1915 12 5.345 -0.041 0 0 5.345 -0.041 0.729 0.349 1916 1 1.484 -3.320 0 0 1.484 -3.320 -3.882 -3.679 1916 2 9.178 2.134 0 0 9.178 2.134 4.384 2.347 1916 3 9.258 1.092 0 0 9.258 1.092 3.842 0.682 1916 4 11.362 0.602 0 0 11.362 0.602 6.131 0.377 1916 5 12.611 -2.300 0 0 12.611 -2.300 7.691 -2.214 1916 6 17.795 -1.088 0 0 17.795 -1.088 12.464 -1.413 1916 7 19.873 -3.025 0 0 19.873 -3.025 15.700 -2.191 1916 8 22.394 0.054 0 0 22.394 0.054 17.036 -0.297 1916 9 19.025 -0.351 0 0 19.025 -0.351 14.378 0.008 1916 10 12.669 -1.193 0 0 12.669 -1.193 7.423 -1.434 1916 11 6.412 -2.107 0 0 6.412 -2.107 0.959 -2.553 1916 12 1.219 -4.166 0 0 1.219 -4.166 -2.793 -3.173 1917 1 1.453 -3.351 0 0 1.453 -3.351 -3.625 -3.422 1917 2 3.523 -3.520 0 0 3.523 -3.520 -0.357 -2.394 1917 3 4.068 -4.099 0 0 4.068 -4.099 -1.040 -4.201 1917 4 9.532 -1.228 0 0 9.532 -1.228 4.024 -1.729 1917 5 12.492 -2.420 0 0 12.492 -2.420 7.983 -1.922 1917 6 18.258 -0.624 0 0 18.258 -0.624 12.684 -1.193 1917 7 24.443 1.546 0 0 24.443 1.546 19.580 1.689 1917 8 23.608 1.269 0 0 23.608 1.269 18.346 1.013 1917 9 19.192 -0.184 0 0 19.192 -0.184 14.559 0.189 1917 10 15.568 1.705 0 0 15.568 1.705 9.853 0.997 1917 11 9.330 0.811 0 0 9.330 0.811 4.483 0.970 1917 12 5.592 0.206 0 0 5.592 0.206 2.622 2.242 1918 1 5.508 0.704 0 0 5.508 0.704 1.489 1.692 1918 2 5.861 -1.183 0 0 5.861 -1.183 1.351 -0.687 1918 3 8.721 0.555 0 0 8.721 0.555 3.034 -0.126 1918 4 12.106 1.346 0 0 12.106 1.346 5.590 -0.163 1918 5 13.635 -1.276 0 0 13.635 -1.276 8.433 -1.473 1918 6 22.328 3.445 0 0 22.328 3.445 16.502 2.625 1918 7 22.448 -0.449 0 0 22.448 -0.449 17.327 -0.564 1918 8 21.582 -0.757 0 0 21.582 -0.757 16.167 -1.166 1918 9 20.728 1.352 0 0 20.728 1.352 15.969 1.599 1918 10 13.544 -0.319 0 0 13.544 -0.319 9.590 0.734 1918 11 6.285 -2.234 0 0 6.285 -2.234 1.927 -1.586 1918 12 3.563 -1.822 0 0 3.563 -1.822 -1.415 -1.794 1919 1 5.577 0.773 0 0 5.577 0.773 -0.163 0.040 1919 2 NaN NaN NaN NaN NaN NaN 0.916 -1.121 1919 3 7.665 -0.502 0 0 7.665 -0.502 2.264 -0.897 1919 4 11.985 1.226 0 0 11.985 1.226 6.167 0.414 1919 5 15.947 1.035 0 0 15.947 1.035 10.373 0.468 1919 6 17.940 -0.943 0 0 17.940 -0.943 12.467 -1.409 1919 7 23.902 1.004 0 0 23.902 1.004 18.958 1.067 1919 8 23.785 1.446 0 0 23.785 1.446 17.891 0.558 1919 9 17.645 -1.731 0 0 17.645 -1.731 13.396 -0.974 1919 10 10.961 -2.901 0 0 10.961 -2.901 6.119 -2.737 1919 11 5.502 -3.017 0 0 5.502 -3.017 1.614 -1.899 1919 12 2.901 -2.485 0 0 2.901 -2.485 -1.965 -2.344 1920 1 4.398 -0.405 0 0 4.398 -0.405 0.365 0.568 1920 2 6.748 -0.295 0 0 6.748 -0.295 1.529 -0.508 1920 3 6.750 -1.416 0 0 6.750 -1.416 1.376 -1.784 1920 4 9.420 -1.339 0 0 9.420 -1.339 3.879 -1.874 1920 5 14.145 -0.766 0 0 14.145 -0.766 8.808 -1.097 1920 6 18.160 -0.723 0 0 18.160 -0.723 12.931 -0.946 1920 7 21.808 -1.089 0 0 21.808 -1.089 17.363 -0.528 1920 8 23.738 1.399 0 0 23.738 1.399 18.244 0.911 1920 9 NaN NaN NaN NaN NaN NaN 13.396 -0.974 1920 10 NaN NaN NaN NaN NaN NaN 6.983 -1.873 1920 11 7.352 -1.167 0 0 7.352 -1.167 2.751 -0.762 1920 12 5.668 0.282 0 0 5.668 0.282 0.490 0.110 1921 1 4.215 -0.589 0 0 4.215 -0.589 -0.228 -0.025 1921 2 6.550 -0.493 0 0 6.550 -0.493 2.610 0.573 1921 3 10.106 1.940 0 0 10.106 1.940 3.958 0.798 1921 4 11.673 0.914 0 0 11.673 0.914 5.083 -0.670 1921 5 14.698 -0.213 0 0 14.698 -0.213 9.167 -0.738 1921 6 20.505 1.622 0 0 20.505 1.622 14.009 0.132 1921 7 22.395 -0.502 0 0 22.395 -0.502 17.425 -0.466 1921 8 22.717 0.378 0 0 22.717 0.378 16.989 -0.344 1921 9 17.225 -2.151 0 0 17.225 -2.151 12.399 -1.971 1921 10 15.021 1.158 0 0 15.021 1.158 10.325 1.468 1921 11 9.882 1.363 0 0 9.882 1.363 4.501 0.988 1921 12 4.055 -1.331 0 0 4.055 -1.331 -0.510 -0.889 1922 1 1.476 -3.328 0 0 1.476 -3.328 -3.676 -3.473 1922 2 4.564 -2.479 0 0 4.564 -2.479 -0.111 -2.148 1922 3 7.624 -0.542 0 0 7.624 -0.542 0.786 -2.374 1922 4 9.272 -1.488 0 0 9.272 -1.488 3.477 -2.276 1922 5 15.448 0.537 0 0 15.448 0.537 9.876 -0.029 1922 6 20.828 1.946 0 0 20.828 1.946 15.070 1.193 1922 7 24.360 1.463 0 0 24.360 1.463 19.270 1.379 1922 8 21.495 -0.844 0 0 21.495 -0.844 16.183 -1.150 1922 9 20.517 1.141 0 0 20.517 1.141 15.090 0.720 1922 10 13.397 -0.466 0 0 13.397 -0.466 8.962 0.105 1922 11 NaN NaN NaN NaN NaN NaN 1.590 -1.923 1922 12 3.438 -1.947 0 0 3.438 -1.947 -0.552 -0.931 1923 1 3.737 -1.067 0 0 3.737 -1.067 -0.515 -0.313 1923 2 5.686 -1.358 0 0 5.686 -1.358 0.570 -1.467 1923 3 9.040 0.874 0 0 9.040 0.874 2.534 -0.626 1923 4 11.555 0.796 0 0 11.555 0.796 5.550 -0.203 1923 5 15.552 0.640 0 0 15.552 0.640 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 22.465 0.126 0 0 22.465 0.126 17.328 -0.005 1923 9 19.815 0.439 0 0 19.815 0.439 15.090 0.720 1923 10 12.271 -1.592 0 0 12.271 -1.592 8.075 -0.781 1923 11 8.328 -0.191 0 0 8.328 -0.191 4.484 0.971 1923 12 NaN NaN NaN NaN NaN NaN -0.764 -1.143 1924 1 3.662 -1.142 0 0 3.662 -1.142 -0.980 -0.777 1924 2 7.409 0.365 0 0 7.409 0.365 4.170 2.133 1924 3 6.927 -1.239 0 0 6.927 -1.239 1.258 -1.902 1924 4 13.065 2.306 0 0 13.065 2.306 6.639 0.886 1924 5 NaN NaN NaN NaN NaN NaN 12.745 2.839 1924 6 20.082 1.199 0 0 20.082 1.199 14.311 0.435 1924 7 NaN NaN NaN NaN NaN NaN 17.708 -0.183 1924 8 NaN NaN NaN NaN NaN NaN 16.700 -0.633 1924 9 19.055 -0.321 0 0 19.055 -0.321 13.987 -0.383 1924 10 NaN NaN NaN NaN NaN NaN 8.068 -0.788 1924 11 7.582 -0.937 0 0 7.582 -0.937 3.294 -0.219 1924 12 NaN NaN NaN NaN NaN NaN -2.623 -3.002 1925 1 NaN NaN NaN NaN NaN NaN 1.345 1.547 1925 2 7.477 0.433 0 0 7.477 0.433 3.532 1.495 1925 3 NaN NaN NaN NaN NaN NaN 3.588 0.428 1925 4 NaN NaN NaN NaN NaN NaN 6.392 0.639 1925 5 16.589 1.677 0 0 16.589 1.677 11.170 1.265 1925 6 NaN NaN NaN NaN NaN NaN 13.557 -0.320 1925 7 NaN NaN NaN NaN NaN NaN 19.342 1.451 1925 8 NaN NaN NaN NaN NaN NaN 16.313 -1.020 1925 9 NaN NaN NaN NaN NaN NaN 12.422 -1.948 1925 10 NaN NaN NaN NaN NaN NaN 7.938 -0.918 1925 11 NaN NaN NaN NaN NaN NaN 3.136 -0.376 1925 12 NaN NaN NaN NaN NaN NaN 0.899 0.520 1926 1 3.597 -1.206 0 0 3.597 -1.206 0.132 0.335 1926 2 8.604 1.560 0 0 8.604 1.560 4.282 2.245 1926 3 11.721 3.555 0 0 11.721 3.555 5.488 2.327 1926 4 15.432 4.672 0 0 15.432 4.672 9.278 3.524 1926 5 NaN NaN NaN NaN NaN NaN 10.529 0.624 1926 6 NaN NaN NaN NaN NaN NaN 16.020 2.144 1926 7 NaN NaN NaN NaN NaN NaN 18.632 0.741 1926 8 NaN NaN NaN NaN NaN NaN 16.815 -0.518 1926 9 NaN NaN NaN NaN NaN NaN 11.685 -2.685 1926 10 NaN NaN NaN NaN NaN NaN 9.602 0.745 1926 11 NaN NaN NaN NaN NaN NaN 5.923 2.410 1926 12 NaN NaN NaN NaN NaN NaN -0.164 -0.544 1927 1 5.485 0.682 0 0 5.485 0.682 0.703 0.905 1927 2 6.330 -0.713 0 0 6.330 -0.713 2.065 0.028 1927 3 7.492 -0.674 0 0 7.492 -0.674 2.073 -1.087 1927 4 10.980 0.221 0 0 10.980 0.221 4.676 -1.078 1927 5 13.629 -1.282 0 0 13.629 -1.282 8.285 -1.620 1927 6 19.225 0.342 0 0 19.225 0.342 13.855 -0.022 1927 7 NaN NaN NaN NaN NaN NaN 18.117 0.226 1927 8 NaN NaN NaN NaN NaN NaN 16.880 -0.453 1927 9 NaN NaN NaN NaN NaN NaN 12.267 -2.103 1927 10 NaN NaN NaN NaN NaN NaN 8.995 0.139 1927 11 NaN NaN NaN NaN NaN NaN 4.828 1.315 1927 12 NaN NaN NaN NaN NaN NaN -1.375 -1.754 1928 1 NaN NaN NaN NaN NaN NaN 0.914 1.116 1928 2 NaN NaN NaN NaN NaN NaN 2.802 0.765 1928 3 NaN NaN NaN NaN NaN NaN 4.558 1.398 1928 4 NaN NaN NaN NaN NaN NaN 4.728 -1.025 1928 5 NaN NaN NaN NaN NaN NaN 12.406 2.500 1928 6 NaN NaN NaN NaN NaN NaN 12.621 -1.255