% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34940 % Primary Name: COVELO EEL RIVER RS % Record Type: TAVG % Country: United States % State: CA % Latitude: 39.82610 +/- 0.00005 % Longitude: -123.08500 +/- 0.00005 % Elevation (m): 461.99 +/- 0.54 % # of Months: 47 % % Alternate Names: COVELO EEL RVR RS % % IDs: coop - 42084 % ghcnd - USC00042084 % ncdc - 20002984 % nws - COVC1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 1d7f8954eadc2eaa072931e26359df4a % Raw Data Hash: a46343b6a4b74779d2d1b2ee45e6cf2a % Adj Data Hash: 6d46d8a803278d39c27b8d862c1b6fc9 % % 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 1913 9 NaN NaN NaN NaN NaN NaN 21.652 1.437 1913 10 NaN NaN NaN NaN NaN NaN 16.655 1.310 1913 11 NaN NaN NaN NaN NaN NaN 9.284 -0.568 1913 12 NaN NaN NaN NaN NaN NaN 5.585 -0.741 1914 1 NaN NaN NaN NaN NaN NaN 6.655 0.620 1914 2 NaN NaN NaN NaN NaN NaN 8.569 0.231 1914 3 NaN NaN NaN NaN NaN NaN 12.134 2.512 1914 4 NaN NaN NaN NaN NaN NaN 12.323 0.408 1914 5 NaN NaN NaN NaN NaN NaN 16.563 0.624 1914 6 NaN NaN NaN NaN NaN NaN 18.734 -1.236 1914 7 NaN NaN NaN NaN NaN NaN 22.560 -0.488 1914 8 NaN NaN NaN NaN NaN NaN 22.170 -0.257 1914 9 22.767 2.678 1 0 NaN NaN 18.509 -1.706 1914 10 NaN NaN NaN NaN NaN NaN 14.563 -0.782 1914 11 NaN NaN NaN NaN NaN NaN 10.251 0.399 1914 12 NaN NaN NaN NaN NaN NaN 4.437 -1.889 1915 1 NaN NaN NaN NaN NaN NaN 5.661 -0.374 1915 2 NaN NaN NaN NaN NaN NaN 7.784 -0.554 1915 3 NaN NaN NaN NaN NaN NaN 10.859 1.238 1915 4 14.862 3.074 1 0 NaN NaN 12.502 0.587 1915 5 13.650 -2.162 1 0 NaN NaN 13.769 -2.170 1915 6 23.381 3.537 1 0 NaN NaN 19.273 -0.697 1915 7 25.420 2.499 1 0 NaN NaN 22.712 -0.335 1915 8 24.112 1.812 1 0 NaN NaN 22.967 0.539 1915 9 19.412 -0.676 1 0 NaN NaN 19.319 -0.896 1915 10 15.344 0.126 1 0 NaN NaN 16.081 0.736 1915 11 7.129 -2.596 0 0 7.129 -2.596 8.922 -0.930 1915 12 NaN NaN NaN NaN NaN NaN 6.508 0.182 1916 1 2.445 -3.464 0 0 2.445 -3.464 3.270 -2.765 1916 2 NaN NaN NaN NaN NaN NaN 10.036 1.698 1916 3 9.887 0.392 0 0 9.887 0.392 10.304 0.682 1916 4 12.990 1.201 0 0 12.990 1.201 13.135 1.220 1916 5 13.150 -2.662 1 0 NaN NaN 14.299 -1.640 1916 6 18.668 -1.176 0 0 18.668 -1.176 18.514 -1.456 1916 7 21.898 -1.022 0 0 21.898 -1.022 22.421 -0.627 1916 8 23.061 0.761 0 0 23.061 0.761 21.695 -0.732 1916 9 18.647 -1.442 0 0 18.647 -1.442 19.806 -0.409 1916 10 13.041 -2.177 0 0 13.041 -2.177 13.002 -2.342 1916 11 6.420 -3.305 0 0 6.420 -3.305 7.750 -2.102 1916 12 2.729 -3.470 0 0 2.729 -3.470 4.366 -1.959 1917 1 2.755 -3.153 0 0 2.755 -3.153 3.911 -2.124 1917 2 6.121 -2.090 0 0 6.121 -2.090 7.876 -0.462 1917 3 6.516 -2.979 0 0 6.516 -2.979 6.970 -2.652 1917 4 11.309 -0.480 0 0 11.309 -0.480 11.045 -0.870 1917 5 13.827 -1.985 0 0 13.827 -1.985 13.728 -2.211 1917 6 19.552 -0.292 0 0 19.552 -0.292 20.026 0.055 1917 7 24.913 1.992 0 0 24.913 1.992 24.421 1.374 1917 8 24.994 2.693 0 0 24.994 2.693 22.700 0.273 1917 9 19.778 -0.310 0 0 19.778 -0.310 20.445 0.230 1917 10 16.965 1.747 0 0 16.965 1.747 17.572 2.228 1917 11 9.367 -0.358 0 0 9.367 -0.358 10.522 0.670 1917 12 6.892 0.693 0 0 6.892 0.693 8.175 1.849 1918 1 6.552 0.643 0 0 6.552 0.643 7.036 1.001 1918 2 6.193 -2.018 0 0 6.193 -2.018 7.170 -1.168 1918 3 9.270 -0.225 0 0 9.270 -0.225 8.685 -0.936 1918 4 12.873 1.084 0 0 12.873 1.084 11.950 0.035 1918 5 16.842 1.029 1 0 NaN NaN 14.589 -1.350 1918 6 23.760 3.917 1 0 NaN NaN 22.171 2.201 1918 7 23.118 0.198 1 0 NaN NaN 21.777 -1.270 1918 8 23.189 0.889 0 0 23.189 0.889 21.933 -0.494 1918 9 20.015 -0.073 0 0 20.015 -0.073 19.569 -0.646 1918 10 NaN NaN NaN NaN NaN NaN 16.151 0.807 1918 11 NaN NaN NaN NaN NaN NaN 8.559 -1.293 1918 12 NaN NaN NaN NaN NaN NaN 4.693 -1.633 1919 1 NaN NaN NaN NaN NaN NaN 6.163 0.128 1919 2 6.734 -1.477 0 0 6.734 -1.477 6.768 -1.570 1919 3 8.885 -0.609 0 0 8.885 -0.609 7.961 -1.661 1919 4 13.218 1.430 0 0 13.218 1.430 12.453 0.538 1919 5 17.595 1.782 0 0 17.595 1.782 16.974 1.035 1919 6 19.290 -0.553 0 0 19.290 -0.553 18.822 -1.148 1919 7 24.408 1.488 0 0 24.408 1.488 22.666 -0.382 1919 8 NaN NaN NaN NaN NaN NaN 21.952 -0.475 1919 9 NaN NaN NaN NaN NaN NaN 19.292 -0.923 1919 10 NaN NaN NaN NaN NaN NaN 13.586 -1.759 1919 11 NaN NaN NaN NaN NaN NaN 8.865 -0.987 1919 12 NaN NaN NaN NaN NaN NaN 5.018 -1.308 1920 1 NaN NaN NaN NaN NaN NaN 7.558 1.523 1920 2 NaN NaN NaN NaN NaN NaN 8.241 -0.097 1920 3 NaN NaN NaN NaN NaN NaN 7.534 -2.087 1920 4 NaN NaN NaN NaN NaN NaN 10.823 -1.093 1920 5 NaN NaN NaN NaN NaN NaN 15.895 -0.044 1920 6 NaN NaN NaN NaN NaN NaN 19.373 -0.597 1920 7 NaN NaN NaN NaN NaN NaN 21.320 -1.727