% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41176 % Primary Name: BUE % Record Type: TAVG % Country: United States % State: OR % Latitude: 45.65000 +/- 0.00005 % Longitude: -117.28330 +/- 0.00005 % Elevation (m): 1371.60 +/- 0.15 % # of Months: 31 % % Alternate Names: Missing Station ID - 351115 % % IDs: coop - 351115 % ghcnd - USC00351115 % ncdc - 12004319 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 60931867d0de2f589deac5485645a39c % Raw Data Hash: 98d155ebdc50385e3fa95c9879715bfb % Adj Data Hash: 52582fda0a212f689c6e25c07fdc4d3d % % 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 1914 7 NaN NaN NaN NaN NaN NaN 19.271 1.080 1914 8 NaN NaN NaN NaN NaN NaN 17.705 0.186 1914 9 NaN NaN NaN NaN NaN NaN 11.547 -1.530 1914 10 NaN NaN NaN NaN NaN NaN 8.364 1.303 1914 11 NaN NaN NaN NaN NaN NaN 2.611 1.748 1914 12 NaN NaN NaN NaN NaN NaN -6.261 -3.726 1915 1 NaN NaN NaN NaN NaN NaN -4.616 -0.718 1915 2 NaN NaN NaN NaN NaN NaN 2.054 2.787 1915 3 NaN NaN NaN NaN NaN NaN 3.629 2.334 1915 4 NaN NaN NaN NaN NaN NaN 7.632 2.354 1915 5 NaN NaN NaN NaN NaN NaN 9.101 -0.761 1915 6 NaN NaN NaN NaN NaN NaN 11.911 -2.023 1915 7 14.852 -1.161 0 0 14.852 -1.161 16.511 -1.679 1915 8 18.479 3.136 0 0 18.479 3.136 20.273 2.754 1915 9 9.152 -1.748 0 0 9.152 -1.748 11.777 -1.300 1915 10 NaN NaN NaN NaN NaN NaN 8.411 1.350 1915 11 -4.604 -3.291 1 0 NaN NaN -0.227 -1.090 1915 12 NaN NaN NaN NaN NaN NaN -2.641 -0.105 1916 1 NaN NaN NaN NaN NaN NaN -10.375 -6.477 1916 2 -3.494 -0.584 0 0 -3.494 -0.584 -1.170 -0.437 1916 3 0.403 1.285 1 0 NaN NaN 1.866 0.571 1916 4 2.555 -0.545 0 0 2.555 -0.545 5.117 -0.160 1916 5 4.046 -3.639 0 0 4.046 -3.639 7.146 -2.717 1916 6 10.545 -1.212 1 0 NaN NaN 11.906 -2.028 1916 7 14.524 -1.489 1 0 NaN NaN 16.266 -1.924 1916 8 14.208 -1.134 1 0 NaN NaN 16.676 -0.843 1916 9 10.058 -0.842 1 0 NaN NaN 12.310 -0.766 1916 10 NaN NaN NaN NaN NaN NaN 5.805 -1.257 1916 11 NaN NaN NaN NaN NaN NaN -1.731 -2.594 1916 12 NaN NaN NaN NaN NaN NaN -5.367 -2.831 1917 1 -12.379 -6.305 1 0 NaN NaN -5.844 -1.947 1917 2 -5.188 -2.277 0 1 -5.188 -2.277 -1.981 -1.248 1917 3 -4.846 -3.964 0 0 -4.846 -3.964 -3.839 -5.134 1917 4 0.978 -2.122 0 0 0.978 -2.122 2.694 -2.584 1917 5 5.318 -2.368 0 0 5.318 -2.368 8.378 -1.484 1917 6 11.098 -0.659 0 0 11.098 -0.659 11.753 -2.181 1917 7 18.411 2.398 0 0 18.411 2.398 19.434 1.244 1917 8 18.134 2.791 0 0 18.134 2.791 18.225 0.706 1917 9 13.560 2.660 0 0 13.560 2.660 14.340 1.264 1917 10 4.481 -0.404 0 0 4.481 -0.404 7.908 0.846 1917 11 0.683 1.997 1 0 NaN NaN 3.658 2.795 1917 12 -0.102 4.611 0 0 -0.102 4.611 2.493 5.028 1918 1 -3.517 2.558 0 0 -3.517 2.558 -1.594 2.303 1918 2 -4.980 -2.070 0 0 -4.980 -2.070 -1.293 -0.560 1918 3 -0.798 0.084 0 0 -0.798 0.084 2.109 0.814 1918 4 1.083 -2.017 0 0 1.083 -2.017 4.821 -0.457 1918 5 4.937 -2.748 0 0 4.937 -2.748 8.103 -1.759 1918 6 15.435 3.678 0 0 15.435 3.678 16.793 2.859 1918 7 16.952 0.939 0 0 16.952 0.939 18.619 0.428 1918 8 NaN NaN NaN NaN NaN NaN 15.465 -2.054 1918 9 NaN NaN NaN NaN NaN NaN 14.493 1.416 1918 10 NaN NaN NaN NaN NaN NaN 8.872 1.810 1918 11 NaN NaN NaN NaN NaN NaN 0.302 -0.561 1918 12 NaN NaN NaN NaN NaN NaN -2.877 -0.342 1919 1 NaN NaN NaN NaN NaN NaN -2.310 1.588 1919 2 NaN NaN NaN NaN NaN NaN -0.975 -0.242 1919 3 NaN NaN NaN NaN NaN NaN 1.082 -0.213 1919 4 NaN NaN NaN NaN NaN NaN 5.857 0.580 1919 5 NaN NaN NaN NaN NaN NaN 9.823 -0.039 1919 6 NaN NaN NaN NaN NaN NaN 13.226 -0.708 1919 7 NaN NaN NaN NaN NaN NaN 19.082 0.892