% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40389 % Primary Name: RIO HERMOSA % Record Type: TAVG % Country: United States % State: OR % Latitude: 44.65000 +/- 0.00005 % Longitude: -121.53330 +/- 0.00005 % Elevation (m): 643.13 +/- 0.15 % # of Months: 67 % % Alternate Names: Missing Station ID - 357189 % % IDs: coop - 357189 % ghcnd - USC00357189 % ncdc - 12004466 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 1c3c59fde1f44d3b7d427a16cbc472f4 % Raw Data Hash: f7e7e1e07c0c93e21bf8ab0da313163d % Adj Data Hash: cbcaa945cf82a4761a59d5e51228e321 % % 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 1910 4 NaN NaN NaN NaN NaN NaN 7.796 2.580 1910 5 NaN NaN NaN NaN NaN NaN 11.516 2.073 1910 6 NaN NaN NaN NaN NaN NaN 12.246 -1.230 1910 7 NaN NaN NaN NaN NaN NaN 18.007 0.578 1910 8 NaN NaN NaN NaN NaN NaN 14.596 -2.102 1910 9 NaN NaN NaN NaN NaN NaN 11.521 -1.666 1910 10 NaN NaN NaN NaN NaN NaN 8.847 1.043 1910 11 NaN NaN NaN NaN NaN NaN 2.401 0.073 1910 12 NaN NaN NaN NaN NaN NaN 0.647 1.393 1911 1 NaN NaN NaN NaN NaN NaN -2.009 -0.151 1911 2 NaN NaN NaN NaN NaN NaN -2.175 -3.198 1911 3 NaN NaN NaN NaN NaN NaN 3.314 0.913 1911 4 7.343 0.417 0 0 7.343 0.417 4.393 -0.824 1911 5 10.056 -1.096 0 0 10.056 -1.096 7.604 -1.838 1911 6 14.524 -0.662 0 0 14.524 -0.662 13.090 -0.386 1911 7 19.176 0.038 0 0 19.176 0.038 18.645 1.216 1911 8 17.185 -1.222 0 0 17.185 -1.222 15.750 -0.947 1911 9 10.993 -3.903 0 0 10.993 -3.903 10.547 -2.640 1911 10 7.356 -2.157 0 0 7.356 -2.157 6.797 -1.007 1911 11 3.774 -0.264 0 0 3.774 -0.264 1.984 -0.344 1911 12 -0.626 -1.589 0 0 -0.626 -1.589 -1.011 -0.266 1912 1 -0.385 -0.236 1 0 NaN NaN -1.429 0.429 1912 2 2.870 0.138 0 0 2.870 0.138 2.230 1.208 1912 3 3.104 -1.006 0 0 3.104 -1.006 0.205 -2.195 1912 4 7.870 0.944 1 0 NaN NaN 4.260 -0.957 1912 5 12.000 0.848 1 0 NaN NaN 9.292 -0.151 1912 6 15.696 0.510 0 0 15.696 0.510 13.376 -0.100 1912 7 NaN NaN NaN NaN NaN NaN 16.325 -1.104 1912 8 16.222 -2.185 0 0 16.222 -2.185 14.782 -1.915 1912 9 12.063 -2.834 0 0 12.063 -2.834 11.015 -2.172 1912 10 NaN NaN NaN NaN NaN NaN 5.319 -2.485 1912 11 NaN NaN NaN NaN NaN NaN 3.413 1.084 1912 12 -0.215 -1.178 1 0 NaN NaN -1.029 -0.284 1913 1 -1.038 -0.889 1 0 NaN NaN -3.518 -1.660 1913 2 -0.023 -2.756 1 0 NaN NaN -0.796 -1.819 1913 3 4.111 0.001 1 0 NaN NaN 1.072 -1.328 1913 4 8.565 1.639 0 0 8.565 1.639 5.136 -0.081 1913 5 12.423 1.271 0 0 12.423 1.271 9.941 0.498 1913 6 10.743 -4.443 0 0 10.743 -4.443 12.509 -0.967 1913 7 16.923 -2.215 0 0 16.923 -2.215 16.680 -0.749 1913 8 19.314 0.907 0 0 19.314 0.907 16.962 0.264 1913 9 12.827 -2.069 1 0 NaN NaN 12.513 -0.674 1913 10 7.850 -1.664 0 0 7.850 -1.664 6.945 -0.860 1913 11 4.218 0.180 0 0 4.218 0.180 3.306 0.978 1913 12 -2.416 -3.380 0 0 -2.416 -3.380 -2.417 -1.671 1914 1 1.487 1.636 0 0 1.487 1.636 1.020 2.878 1914 2 2.361 -0.371 0 0 2.361 -0.371 1.041 0.018 1914 3 6.736 2.626 0 0 6.736 2.626 4.393 1.992 1914 4 8.926 2.000 0 0 8.926 2.000 5.812 0.595 1914 5 13.166 2.014 0 0 13.166 2.014 11.288 1.845 1914 6 14.389 -0.797 0 0 14.389 -0.797 12.228 -1.249 1914 7 19.485 0.348 0 0 19.485 0.348 18.139 0.711 1914 8 19.424 1.017 0 0 19.424 1.017 17.174 0.477 1914 9 13.316 -1.581 0 0 13.316 -1.581 11.498 -1.689 1914 10 9.152 -0.362 1 0 NaN NaN 8.553 0.749 1914 11 NaN NaN NaN NaN NaN NaN 3.252 0.924 1914 12 -4.537 -5.501 1 0 NaN NaN -5.010 -4.264 1915 1 -1.965 -1.816 0 0 -1.965 -1.816 -2.677 -0.819 1915 2 2.804 0.071 0 0 2.804 0.071 2.151 1.128 1915 3 7.526 3.416 1 0 NaN NaN 4.086 1.686 1915 4 NaN NaN NaN NaN NaN NaN 7.025 1.809 1915 5 NaN NaN NaN NaN NaN NaN 8.568 -0.874 1915 6 13.881 -1.305 0 0 13.881 -1.305 12.013 -1.464 1915 7 16.468 -2.670 0 0 16.468 -2.670 16.254 -1.174 1915 8 NaN NaN NaN NaN NaN NaN 18.935 2.237 1915 9 18.147 3.250 0 0 18.147 3.250 11.896 -1.291 1915 10 8.155 -1.359 0 0 8.155 -1.359 8.539 0.734 1915 11 NaN NaN NaN NaN NaN NaN 1.550 -0.778 1915 12 NaN NaN NaN NaN NaN NaN -0.731 0.015 1916 1 NaN NaN NaN NaN NaN NaN -8.144 -6.285 1916 2 NaN NaN NaN NaN NaN NaN 1.670 0.647 1916 3 NaN NaN NaN NaN NaN NaN 3.119 0.718 1916 4 NaN NaN NaN NaN NaN NaN 5.393 0.176 1916 5 8.808 -2.344 0 0 8.808 -2.344 6.713 -2.730 1916 6 13.352 -1.834 0 0 13.352 -1.834 11.489 -1.987 1916 7 15.290 -3.848 0 0 15.290 -3.848 14.663 -2.765 1916 8 16.892 -1.515 0 0 16.892 -1.515 16.160 -0.538 1916 9 13.625 -1.272 0 0 13.625 -1.272 12.576 -0.611 1916 10 7.283 -2.231 0 0 7.283 -2.231 6.214 -1.590 1916 11 NaN NaN NaN NaN NaN NaN -0.847 -3.176 1916 12 NaN NaN NaN NaN NaN NaN -2.630 -1.884 1917 1 NaN NaN NaN NaN NaN NaN -3.894 -2.036 1917 2 NaN NaN NaN NaN NaN NaN -0.646 -1.669 1917 3 NaN NaN NaN NaN NaN NaN -2.084 -4.484 1917 4 NaN NaN NaN NaN NaN NaN 3.350 -1.867 1917 5 NaN NaN NaN NaN NaN NaN 7.465 -1.977 1917 6 NaN NaN NaN NaN NaN NaN 11.906 -1.571 1917 7 19.523 0.385 0 0 19.523 0.385 18.960 1.531 1917 8 18.423 0.016 0 0 18.423 0.016 17.821 1.123 1917 9 14.388 -0.508 0 0 14.388 -0.508 13.918 0.730 1917 10 10.434 0.920 0 0 10.434 0.920 9.310 1.505 1917 11 7.970 3.932 0 0 7.970 3.932 4.158 1.830 1917 12 7.765 6.802 0 0 7.765 6.802 4.041 4.787 1918 1 4.193 4.342 0 0 4.193 4.342 1.057 2.916 1918 2 NaN NaN NaN NaN NaN NaN 0.502 -0.521 1918 3 NaN NaN NaN NaN NaN NaN 2.849 0.449 1918 4 NaN NaN NaN NaN NaN NaN 4.530 -0.686 1918 5 NaN NaN NaN NaN NaN NaN 7.752 -1.690 1918 6 NaN NaN NaN NaN NaN NaN 16.142 2.666 1918 7 NaN NaN NaN NaN NaN NaN 17.323 -0.106 1918 8 NaN NaN NaN NaN NaN NaN 14.908 -1.789 1918 9 NaN NaN NaN NaN NaN NaN 14.846 1.659 1918 10 NaN NaN NaN NaN NaN NaN 9.169 1.365 1918 11 5.537 1.500 0 0 5.537 1.500 1.323 -1.005 1918 12 2.608 1.644 0 0 2.608 1.644 -1.458 -0.712 1919 1 2.695 2.844 1 0 NaN NaN -0.980 0.878 1919 2 3.843 1.111 0 0 3.843 1.111 0.580 -0.443 1919 3 7.648 3.539 1 0 NaN NaN 1.894 -0.506 1919 4 10.460 3.534 0 0 10.460 3.534 5.468 0.251 1919 5 NaN NaN NaN NaN NaN NaN 9.480 0.037 1919 6 NaN NaN NaN NaN NaN NaN 11.778 -1.699 1919 7 NaN NaN NaN NaN NaN NaN 18.091 0.662 1919 8 NaN NaN NaN NaN NaN NaN 17.336 0.638 1919 9 NaN NaN NaN NaN NaN NaN 11.890 -1.298 1919 10 NaN NaN NaN NaN NaN NaN 5.265 -2.540 1919 11 NaN NaN NaN NaN NaN NaN 1.620 -0.708 1919 12 NaN NaN NaN NaN NaN NaN -4.762 -4.016 1920 1 NaN NaN NaN NaN NaN NaN -0.446 1.412 1920 2 NaN NaN NaN NaN NaN NaN 1.080 0.057 1920 3 NaN NaN NaN NaN NaN NaN 1.266 -1.135 1920 4 NaN NaN NaN NaN NaN NaN 3.098 -2.119