% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40594 % Primary Name: CLARNO % Record Type: TAVG % Country: United States % State: OR % Latitude: 44.88330 +/- 0.00005 % Longitude: -120.50000 +/- 0.00005 % Elevation (m): 409.65 +/- 0.15 % # of Months: 29 % % Alternate Names: Missing Station ID - 351625 % % IDs: coop - 351625 % ghcnd - USC00351625 % ncdc - 12004332 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 9db4e12cb8b3da345b4f2eecc046f43d % Raw Data Hash: 2209497ee4fa02ed885adf16e006fce0 % Adj Data Hash: 8402953b4f387f3df4d38868447723cb % % 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 1920 7 NaN NaN NaN NaN NaN NaN 17.565 0.137 1920 8 NaN NaN NaN NaN NaN NaN 17.019 0.321 1920 9 NaN NaN NaN NaN NaN NaN 12.413 -0.775 1920 10 NaN NaN NaN NaN NaN NaN 6.647 -1.157 1920 11 NaN NaN NaN NaN NaN NaN 1.178 -1.150 1920 12 NaN NaN NaN NaN NaN NaN -0.323 0.423 1921 1 NaN NaN NaN NaN NaN NaN -1.515 0.343 1921 2 NaN NaN NaN NaN NaN NaN 2.094 1.071 1921 3 NaN NaN NaN NaN NaN NaN 3.412 1.011 1921 4 NaN NaN NaN NaN NaN NaN 4.017 -1.199 1921 5 NaN NaN NaN NaN NaN NaN 9.352 -0.091 1921 6 NaN NaN NaN NaN NaN NaN 13.585 0.108 1921 7 22.079 -0.509 0 0 22.079 -0.509 16.629 -0.799 1921 8 22.226 0.369 0 0 22.226 0.369 16.236 -0.462 1921 9 15.942 -2.405 0 0 15.942 -2.405 10.551 -2.637 1921 10 13.077 0.114 0 0 13.077 0.114 9.330 1.526 1921 11 7.260 -0.228 0 0 7.260 -0.228 3.330 1.001 1921 12 0.939 -3.475 0 0 0.939 -3.475 -2.356 -1.611 1922 1 -1.708 -5.009 0 0 -1.708 -5.009 -5.691 -3.833 1922 2 NaN NaN NaN NaN NaN NaN -1.819 -2.842 1922 3 6.013 -1.547 0 0 6.013 -1.547 -0.169 -2.569 1922 4 8.810 -1.566 0 0 8.810 -1.566 2.808 -2.408 1922 5 14.366 -0.236 0 0 14.366 -0.236 9.070 -0.372 1922 6 21.447 2.811 0 0 21.447 2.811 15.166 1.690 1922 7 24.676 2.088 0 0 24.676 2.088 18.767 1.338 1922 8 21.121 -0.736 0 0 21.121 -0.736 16.729 0.031 1922 9 19.228 0.882 0 0 19.228 0.882 14.159 0.971 1922 10 13.429 0.465 0 0 13.429 0.465 8.612 0.808 1922 11 NaN NaN NaN NaN NaN NaN -0.155 -2.483 1922 12 NaN NaN NaN NaN NaN NaN -2.662 -1.916 1923 1 4.947 1.645 0 0 4.947 1.645 -0.330 1.528 1923 2 NaN NaN NaN NaN NaN NaN -1.870 -2.893 1923 3 7.658 0.098 0 0 7.658 0.098 1.862 -0.539 1923 4 10.992 0.615 0 0 10.992 0.615 5.134 -0.083 1923 5 14.744 0.142 0 0 14.744 0.142 9.282 -0.161 1923 6 17.638 -0.998 0 0 17.638 -0.998 11.511 -1.966 1923 7 23.661 1.073 0 0 23.661 1.073 17.778 0.350 1923 8 23.060 1.202 0 0 23.060 1.202 17.264 0.567 1923 9 19.042 0.695 0 0 19.042 0.695 13.867 0.680 1923 10 11.316 -1.648 0 0 11.316 -1.648 7.210 -0.594 1923 11 7.635 0.147 1 0 NaN NaN 3.345 1.017 1923 12 2.885 -1.529 1 0 NaN NaN -1.175 -0.430 1924 1 -0.396 -3.697 1 0 NaN NaN -3.025 -1.167 1924 2 7.612 1.430 0 0 7.612 1.430 4.454 3.431 1924 3 6.381 -1.179 0 0 6.381 -1.179 0.607 -1.794 1924 4 NaN NaN NaN NaN NaN NaN 5.361 0.144 1924 5 NaN NaN NaN NaN NaN NaN 12.392 2.949 1924 6 NaN NaN NaN NaN NaN NaN 13.596 0.119 1924 7 NaN NaN NaN NaN NaN NaN 17.529 0.100 1924 8 NaN NaN NaN NaN NaN NaN 16.103 -0.595 1924 9 NaN NaN NaN NaN NaN NaN 13.351 0.163 1924 10 NaN NaN NaN NaN NaN NaN 7.355 -0.450 1924 11 NaN NaN NaN NaN NaN NaN 1.553 -0.775 1924 12 NaN NaN NaN NaN NaN NaN -5.463 -4.717 1925 1 NaN NaN NaN NaN NaN NaN 1.026 2.884 1925 2 NaN NaN NaN NaN NaN NaN 3.622 2.599 1925 3 NaN NaN NaN NaN NaN NaN 2.790 0.390