% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37962 % Primary Name: ORCHARD HOMES % Record Type: TAVG % Country: United States % State: OR % Latitude: 42.31670 +/- 0.00005 % Longitude: -122.86670 +/- 0.00005 % Elevation (m): 438.00 +/- 0.15 % # of Months: 33 % % Alternate Names: Missing Station ID - 356308 % % IDs: coop - 356308 % ghcnd - USC00356308 % ncdc - 12004445 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: ffbc64beb71b2d6116c707b57ea4668d % Raw Data Hash: d31fc2b1d8121899bb8ebd46bc492ef7 % Adj Data Hash: 659bfa6bdca7658fbef67d53c6465ebf % % 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 3 NaN NaN NaN NaN NaN NaN 5.412 2.251 1914 4 NaN NaN NaN NaN NaN NaN 6.265 0.512 1914 5 NaN NaN NaN NaN NaN NaN 11.581 1.676 1914 6 NaN NaN NaN NaN NaN NaN 12.725 -1.151 1914 7 NaN NaN NaN NaN NaN NaN 18.652 0.761 1914 8 NaN NaN NaN NaN NaN NaN 17.708 0.374 1914 9 NaN NaN NaN NaN NaN NaN 12.420 -1.950 1914 10 NaN NaN NaN NaN NaN NaN 9.015 0.159 1914 11 NaN NaN NaN NaN NaN NaN 3.241 -0.272 1914 12 NaN NaN NaN NaN NaN NaN -2.973 -3.353 1915 1 NaN NaN NaN NaN NaN NaN -0.363 -0.160 1915 2 NaN NaN NaN NaN NaN NaN 2.530 0.493 1915 3 11.217 3.992 1 0 NaN NaN 4.705 1.545 1915 4 12.381 2.563 1 0 NaN NaN 7.245 1.492 1915 5 12.937 -1.033 0 0 12.937 -1.033 8.575 -1.330 1915 6 NaN NaN NaN NaN NaN NaN 12.675 -1.201 1915 7 22.047 0.092 1 0 NaN NaN 17.238 -0.653 1915 8 NaN NaN NaN NaN NaN NaN 19.175 1.842 1915 9 16.666 -1.768 1 0 NaN NaN 13.136 -1.234 1915 10 12.406 -0.515 1 0 NaN NaN 9.124 0.267 1915 11 NaN NaN NaN NaN NaN NaN 2.702 -0.810 1915 12 NaN NaN NaN NaN NaN NaN 0.729 0.349 1916 1 1.274 -2.588 0 0 1.274 -2.588 -3.882 -3.679 1916 2 NaN NaN NaN NaN NaN NaN 4.384 2.347 1916 3 9.000 1.775 0 0 9.000 1.775 3.842 0.682 1916 4 11.087 1.269 0 0 11.087 1.269 6.131 0.377 1916 5 12.158 -1.812 0 0 12.158 -1.812 7.691 -2.214 1916 6 17.292 -0.650 0 0 17.292 -0.650 12.464 -1.413 1916 7 19.390 -2.565 0 0 19.390 -2.565 15.700 -2.191 1916 8 21.160 -0.238 0 0 21.160 -0.238 17.036 -0.297 1916 9 17.925 -0.510 0 0 17.925 -0.510 14.378 0.008 1916 10 10.890 -2.031 0 0 10.890 -2.031 7.423 -1.434 1916 11 4.872 -2.706 0 0 4.872 -2.706 0.959 -2.553 1916 12 0.413 -4.031 0 0 0.413 -4.031 -2.793 -3.173 1917 1 0.923 -2.940 0 0 0.923 -2.940 -3.625 -3.422 1917 2 3.543 -2.559 0 0 3.543 -2.559 -0.357 -2.394 1917 3 4.381 -2.844 0 0 4.381 -2.844 -1.040 -4.201 1917 4 9.458 -0.360 0 0 9.458 -0.360 4.024 -1.729 1917 5 12.210 -1.760 0 0 12.210 -1.760 7.983 -1.922 1917 6 16.757 -1.185 0 0 16.757 -1.185 12.684 -1.193 1917 7 23.577 1.622 0 0 23.577 1.622 19.580 1.689 1917 8 22.474 1.076 0 0 22.474 1.076 18.346 1.013 1917 9 17.772 -0.663 0 0 17.772 -0.663 14.559 0.189 1917 10 13.068 0.147 0 0 13.068 0.147 9.853 0.997 1917 11 7.707 0.129 0 0 7.707 0.129 4.483 0.970 1917 12 5.487 1.043 0 0 5.487 1.043 2.622 2.242 1918 1 5.194 1.331 0 0 5.194 1.331 1.489 1.692 1918 2 5.304 -0.798 0 0 5.304 -0.798 1.351 -0.687 1918 3 NaN NaN NaN NaN NaN NaN 3.034 -0.126 1918 4 NaN NaN NaN NaN NaN NaN 5.590 -0.163 1918 5 NaN NaN NaN NaN NaN NaN 8.433 -1.473 1918 6 NaN NaN NaN NaN NaN NaN 16.502 2.625 1918 7 20.582 -1.373 0 0 20.582 -1.373 17.327 -0.564 1918 8 19.950 -1.448 0 0 19.950 -1.448 16.167 -1.166 1918 9 NaN NaN NaN NaN NaN NaN 15.969 1.599 1918 10 NaN NaN NaN NaN NaN NaN 9.590 0.734 1918 11 NaN NaN NaN NaN NaN NaN 1.927 -1.586 1918 12 NaN NaN NaN NaN NaN NaN -1.415 -1.794 1919 1 NaN NaN NaN NaN NaN NaN -0.163 0.040 1919 2 NaN NaN NaN NaN NaN NaN 0.916 -1.121 1919 3 NaN NaN NaN NaN NaN NaN 2.264 -0.897 1919 4 NaN NaN NaN NaN NaN NaN 6.167 0.414 1919 5 NaN NaN NaN NaN NaN NaN 10.373 0.468 1919 6 NaN NaN NaN NaN NaN NaN 12.467 -1.409 1919 7 NaN NaN NaN NaN NaN NaN 18.958 1.067 1919 8 NaN NaN NaN NaN NaN NaN 17.891 0.558