% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40406 % Primary Name: HEISLER % Record Type: TAVG % Country: United States % State: OR % Latitude: 44.66670 +/- 0.00005 % Longitude: -120.91670 +/- 0.00005 % Elevation (m): 569.98 +/- 0.15 % # of Months: 39 % % Alternate Names: Missing Station ID - 353800 % % IDs: coop - 353800 % ghcnd - USC00353800 % ncdc - 12004389 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: baa19793923f88fa45f21a69b87edb63 % Raw Data Hash: 9934a5466e6a939cf4f351683ce54b7d % Adj Data Hash: 04c616fb8adbb253b6c8e9fa377e28e7 % % 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 1904 3 NaN NaN NaN NaN NaN NaN 0.621 -1.780 1904 4 NaN NaN NaN NaN NaN NaN 6.477 1.260 1904 5 NaN NaN NaN NaN NaN NaN 10.215 0.773 1904 6 NaN NaN NaN NaN NaN NaN 12.892 -0.585 1904 7 NaN NaN NaN NaN NaN NaN 17.053 -0.376 1904 8 NaN NaN NaN NaN NaN NaN 17.338 0.640 1904 9 NaN NaN NaN NaN NaN NaN 13.774 0.586 1904 10 NaN NaN NaN NaN NaN NaN 8.737 0.933 1904 11 NaN NaN NaN NaN NaN NaN 4.624 2.296 1904 12 NaN NaN NaN NaN NaN NaN -0.152 0.594 1905 1 NaN NaN NaN NaN NaN NaN -1.446 0.412 1905 2 NaN NaN NaN NaN NaN NaN -0.581 -1.604 1905 3 7.826 2.309 0 0 7.826 2.309 4.058 1.658 1905 4 9.921 1.587 0 0 9.921 1.587 6.015 0.798 1905 5 11.874 -0.686 0 0 11.874 -0.686 8.113 -1.330 1905 6 16.362 -0.231 0 0 16.362 -0.231 12.309 -1.167 1905 7 21.040 0.494 0 0 21.040 0.494 18.601 1.173 1905 8 18.608 -1.207 0 0 18.608 -1.207 16.611 -0.087 1905 9 15.378 -0.927 1 0 NaN NaN 13.027 -0.160 1905 10 7.619 -3.302 0 0 7.619 -3.302 5.601 -2.203 1905 11 2.723 -2.722 0 0 2.723 -2.722 1.081 -1.247 1905 12 2.553 0.182 0 0 2.553 0.182 -0.999 -0.253 1906 1 3.147 1.888 0 0 3.147 1.888 -0.536 1.322 1906 2 4.032 -0.108 0 0 4.032 -0.108 1.450 0.427 1906 3 3.521 -1.997 0 0 3.521 -1.997 -0.180 -2.580 1906 4 11.193 2.859 0 0 11.193 2.859 6.569 1.353 1906 5 12.679 0.119 0 0 12.679 0.119 9.169 -0.273 1906 6 15.242 -1.352 0 0 15.242 -1.352 11.402 -2.074 1906 7 23.366 2.820 0 0 23.366 2.820 20.733 3.304 1906 8 19.102 -0.713 0 0 19.102 -0.713 17.159 0.461 1906 9 16.181 -0.124 0 0 16.181 -0.124 13.519 0.332 1906 10 11.083 0.162 0 0 11.083 0.162 8.836 1.032 1906 11 5.703 0.258 0 0 5.703 0.258 2.072 -0.257 1906 12 4.529 2.157 0 0 4.529 2.157 1.202 1.948 1907 1 -1.852 -3.112 1 0 NaN NaN -4.998 -3.140 1907 2 4.655 0.515 1 0 NaN NaN 3.380 2.357 1907 3 5.644 0.126 0 0 5.644 0.126 1.369 -1.031 1907 4 9.036 0.702 0 0 9.036 0.702 5.227 0.010 1907 5 13.732 1.172 0 0 13.732 1.172 10.053 0.611 1907 6 NaN NaN NaN NaN NaN NaN 11.881 -1.595 1907 7 22.630 2.084 1 0 NaN NaN 17.483 0.055 1907 8 18.665 -1.150 1 0 NaN NaN 14.291 -2.406 1907 9 16.053 -0.252 0 0 16.053 -0.252 12.456 -0.732 1907 10 12.246 1.325 0 0 12.246 1.325 10.334 2.530 1907 11 4.903 -0.542 0 0 4.903 -0.542 2.874 0.545 1907 12 2.977 0.606 1 0 NaN NaN 0.572 1.317 1908 1 1.340 0.081 0 0 1.340 0.081 -0.747 1.111 1908 2 2.839 -1.301 1 0 NaN NaN 0.969 -0.054 1908 3 6.346 0.828 1 0 NaN NaN 2.022 -0.378 1908 4 9.307 0.973 0 0 9.307 0.973 5.967 0.750 1908 5 10.318 -2.242 0 0 10.318 -2.242 7.051 -2.391 1908 6 15.498 -1.096 1 0 NaN NaN 11.768 -1.709 1908 7 NaN NaN NaN NaN NaN NaN 19.320 1.891 1908 8 NaN NaN NaN NaN NaN NaN 16.535 -0.163 1908 9 NaN NaN NaN NaN NaN NaN 12.928 -0.259 1908 10 NaN NaN NaN NaN NaN NaN 7.062 -0.743 1908 11 NaN NaN NaN NaN NaN NaN 3.541 1.212 1908 12 NaN NaN NaN NaN NaN NaN -2.263 -1.517 1909 1 NaN NaN NaN NaN NaN NaN -3.975 -2.117 1909 2 NaN NaN NaN NaN NaN NaN 2.344 1.321 1909 3 NaN NaN NaN NaN NaN NaN 2.480 0.080 1909 4 NaN NaN NaN NaN NaN NaN 4.097 -1.120 1909 5 NaN NaN NaN NaN NaN NaN 7.987 -1.456 1909 6 NaN NaN NaN NaN NaN NaN 13.266 -0.210