% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42121 % Primary Name: WHEELER % Record Type: TAVG % Country: United States % State: WA % Latitude: 47.13330 +/- 0.00005 % Longitude: -119.08330 +/- 0.00005 % Elevation (m): 400.81 +/- 0.15 % # of Months: 77 % % Alternate Names: Missing Station ID - 459130 % % IDs: coop - 459130 % ghcnd - USC00459130 % ncdc - 12006029 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 35ac60d5c43234f3d51cd937a1671cc5 % Raw Data Hash: 01d1f606d76dd28c70bbac83e20ba8d5 % Adj Data Hash: bbed5f5d542605a15fa884357804ac47 % % 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 1917 4 NaN NaN NaN NaN NaN NaN 5.904 -2.643 1917 5 NaN NaN NaN NaN NaN NaN 12.724 -0.816 1917 6 NaN NaN NaN NaN NaN NaN 15.398 -2.253 1917 7 NaN NaN NaN NaN NaN NaN 21.909 0.420 1917 8 NaN NaN NaN NaN NaN NaN 21.833 1.111 1917 9 NaN NaN NaN NaN NaN NaN 16.662 0.552 1917 10 NaN NaN NaN NaN NaN NaN 10.514 1.456 1917 11 NaN NaN NaN NaN NaN NaN 4.201 2.344 1917 12 NaN NaN NaN NaN NaN NaN 0.542 2.929 1918 1 NaN NaN NaN NaN NaN NaN -1.324 3.015 1918 2 NaN NaN NaN NaN NaN NaN -0.907 -0.820 1918 3 NaN NaN NaN NaN NaN NaN 3.626 -0.182 1918 4 11.793 1.537 0 0 11.793 1.537 8.655 0.109 1918 5 13.789 -1.461 0 0 13.789 -1.461 12.156 -1.384 1918 6 21.952 2.591 0 0 21.952 2.591 19.410 1.760 1918 7 24.205 1.006 0 0 24.205 1.006 21.966 0.476 1918 8 20.869 -1.563 0 0 20.869 -1.563 19.202 -1.520 1918 9 20.199 2.378 0 0 20.199 2.378 18.799 2.689 1918 10 12.156 1.388 0 0 12.156 1.388 10.772 1.714 1918 11 3.812 0.244 0 0 3.812 0.244 2.145 0.288 1918 12 0.166 0.844 0 0 0.166 0.844 -0.845 1.543 1919 1 -1.882 0.747 0 0 -1.882 0.747 -2.869 1.471 1919 2 NaN NaN NaN NaN NaN NaN -0.596 -0.510 1919 3 6.026 0.508 0 0 6.026 0.508 3.297 -0.511 1919 4 11.665 1.408 0 0 11.665 1.408 8.726 0.179 1919 5 15.181 -0.069 0 0 15.181 -0.069 12.888 -0.651 1919 6 17.925 -1.436 0 0 17.925 -1.436 15.569 -2.082 1919 7 23.206 0.007 0 0 23.206 0.007 21.785 0.296 1919 8 22.471 0.039 0 0 22.471 0.039 20.931 0.209 1919 9 16.592 -1.229 0 0 16.592 -1.229 15.316 -0.795 1919 10 8.594 -2.175 0 0 8.594 -2.175 7.256 -1.802 1919 11 2.416 -1.151 0 0 2.416 -1.151 0.553 -1.305 1919 12 -6.813 -6.136 0 0 -6.813 -6.136 -6.979 -4.592 1920 1 -3.758 -1.129 0 0 -3.758 -1.129 -4.533 -0.193 1920 2 1.018 -0.606 0 0 1.018 -0.606 0.569 0.655 1920 3 6.039 0.521 0 0 6.039 0.521 3.467 -0.341 1920 4 8.740 -1.517 0 0 8.740 -1.517 6.395 -2.152 1920 5 13.097 -2.153 0 0 13.097 -2.153 11.644 -1.895 1920 6 16.905 -2.456 0 0 16.905 -2.456 15.715 -1.936 1920 7 24.871 1.672 0 0 24.871 1.672 22.749 1.260 1920 8 22.663 0.231 0 0 22.663 0.231 20.888 0.166 1920 9 NaN NaN NaN NaN NaN NaN 15.147 -0.964 1920 10 10.087 -0.682 0 0 10.087 -0.682 8.426 -0.632 1920 11 3.855 0.287 0 0 3.855 0.287 2.394 0.537 1920 12 0.140 0.818 1 0 NaN NaN -0.445 1.943 1921 1 -0.063 2.567 0 0 -0.063 2.567 -2.701 1.639 1921 2 1.698 0.074 0 0 1.698 0.074 0.512 0.598 1921 3 6.932 1.414 0 0 6.932 1.414 3.973 0.165 1921 4 9.650 -0.607 0 0 9.650 -0.607 6.695 -1.852 1921 5 17.669 2.419 0 0 17.669 2.419 13.738 0.198 1921 6 21.934 2.573 0 0 21.934 2.573 17.755 0.104 1921 7 21.624 -1.575 0 0 21.624 -1.575 20.497 -0.992 1921 8 22.391 -0.041 0 0 22.391 -0.041 20.720 -0.002 1921 9 16.861 -0.960 0 0 16.861 -0.960 12.976 -3.135 1921 10 11.921 1.153 0 0 11.921 1.153 10.237 1.179 1921 11 2.645 -0.923 0 0 2.645 -0.923 1.020 -0.838 1921 12 -2.147 -1.469 0 0 -2.147 -1.469 -3.167 -0.779 1922 1 -9.818 -7.188 0 0 -9.818 -7.188 -9.177 -4.837 1922 2 -5.391 -7.015 0 0 -5.391 -7.015 -4.759 -4.672 1922 3 3.450 -2.068 0 0 3.450 -2.068 1.006 -2.802 1922 4 8.769 -1.487 0 0 8.769 -1.487 6.441 -2.106 1922 5 14.789 -0.461 0 0 14.789 -0.461 12.392 -1.147 1922 6 22.438 3.077 0 0 22.438 3.077 19.870 2.219 1922 7 24.448 1.249 0 0 24.448 1.249 22.573 1.084 1922 8 22.752 0.319 0 0 22.752 0.319 21.066 0.344 1922 9 19.287 1.466 0 0 19.287 1.466 16.983 0.873 1922 10 NaN NaN NaN NaN NaN NaN 10.610 1.552 1922 11 2.043 -1.524 0 0 2.043 -1.524 0.519 -1.338 1922 12 -6.342 -5.665 0 0 -6.342 -5.665 -6.618 -4.230 1923 1 1.371 4.000 0 0 1.371 4.000 -1.463 2.877 1923 2 -3.354 -4.977 0 0 -3.354 -4.977 -3.756 -3.670 1923 3 5.789 0.271 0 0 5.789 0.271 3.383 -0.425 1923 4 11.093 0.837 0 0 11.093 0.837 8.873 0.326 1923 5 14.577 -0.672 0 0 14.577 -0.672 13.269 -0.271 1923 6 18.223 -1.138 0 0 18.223 -1.138 16.317 -1.334 1923 7 23.527 0.328 0 0 23.527 0.328 22.069 0.580 1923 8 22.615 0.182 0 0 22.615 0.182 21.491 0.769 1923 9 18.692 0.871 0 0 18.692 0.871 17.255 1.144 1923 10 11.519 0.751 0 0 11.519 0.751 9.806 0.748 1923 11 4.141 0.573 0 0 4.141 0.573 3.061 1.204 1923 12 -0.231 0.447 0 0 -0.231 0.447 -1.424 0.963 1924 1 NaN NaN NaN NaN NaN NaN -6.452 -2.112 1924 2 5.012 3.388 0 0 5.012 3.388 4.022 4.108 1924 3 5.473 -0.045 0 0 5.473 -0.045 3.833 0.025 1924 4 9.291 -0.966 1 0 NaN NaN 7.943 -0.604 1924 5 18.693 3.444 0 0 18.693 3.444 16.800 3.261 1924 6 18.643 -0.717 1 0 NaN NaN 17.732 0.081 1924 7 22.475 -0.724 0 0 22.475 -0.724 21.833 0.344 1924 8 21.419 -1.013 0 0 21.419 -1.013 20.339 -0.383 1924 9 18.062 0.241 0 0 18.062 0.241 16.441 0.330 1924 10 10.544 -0.225 0 0 10.544 -0.225 9.451 0.393 1924 11 2.626 -0.942 0 0 2.626 -0.942 0.748 -1.110 1924 12 -5.240 -4.562 0 0 -5.240 -4.562 -5.491 -3.103 1925 1 NaN NaN NaN NaN NaN NaN -3.139 1.200 1925 2 NaN NaN NaN NaN NaN NaN 3.551 3.637 1925 3 NaN NaN NaN NaN NaN NaN 4.875 1.066 1925 4 NaN NaN NaN NaN NaN NaN 9.958 1.411 1925 5 NaN NaN NaN NaN NaN NaN 15.047 1.508 1925 6 NaN NaN NaN NaN NaN NaN 18.121 0.470 1925 7 NaN NaN NaN NaN NaN NaN 23.481 1.992 1925 8 NaN NaN NaN NaN NaN NaN 20.231 -0.491 1925 9 NaN NaN NaN NaN NaN NaN 15.827 -0.284 1925 10 NaN NaN NaN NaN NaN NaN 8.605 -0.453 1925 11 NaN NaN NaN NaN NaN NaN 0.990 -0.868 1925 12 NaN NaN NaN NaN NaN NaN 1.444 3.832