% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42110 % Primary Name: FORT LEWIS % Record Type: TAVG % Country: United States % State: WA % Latitude: 47.11670 +/- 0.00005 % Longitude: -122.55000 +/- 0.00005 % Elevation (m): 81.08 +/- 0.15 % # of Months: 64 % % Alternate Names: Missing Station ID - 452950 % % IDs: coop - 452950 % ghcnd - USC00452950 % ncdc - 12005875 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: a6dba08cee41c98e38a89ed60ab32056 % Raw Data Hash: 5d3e6f0f5e94be7f0ba8daae17784bef % Adj Data Hash: 7dcc27c4225148282270c71c9a711b48 % % 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 1918 3 NaN NaN NaN NaN NaN NaN 2.869 -0.616 1918 4 NaN NaN NaN NaN NaN NaN 6.112 0.034 1918 5 NaN NaN NaN NaN NaN NaN 8.452 -1.282 1918 6 NaN NaN NaN NaN NaN NaN 13.602 0.929 1918 7 NaN NaN NaN NaN NaN NaN 15.473 0.102 1918 8 NaN NaN NaN NaN NaN NaN 14.830 -0.357 1918 9 NaN NaN NaN NaN NaN NaN 14.655 1.942 1918 10 NaN NaN NaN NaN NaN NaN 9.132 0.940 1918 11 NaN NaN NaN NaN NaN NaN 4.060 0.261 1918 12 NaN NaN NaN NaN NaN NaN 1.769 0.234 1919 1 NaN NaN NaN NaN NaN NaN 1.022 0.628 1919 2 NaN NaN NaN NaN NaN NaN 1.995 -0.540 1919 3 7.031 0.916 0 0 7.031 0.916 3.094 -0.391 1919 4 9.905 1.197 0 0 9.905 1.197 6.241 0.163 1919 5 12.509 0.145 0 0 12.509 0.145 9.169 -0.566 1919 6 14.498 -0.804 0 0 14.498 -0.804 11.052 -1.621 1919 7 18.119 0.119 0 0 18.119 0.119 15.102 -0.269 1919 8 17.624 -0.192 0 0 17.624 -0.192 15.024 -0.164 1919 9 15.137 -0.205 0 0 15.137 -0.205 12.554 -0.159 1919 10 8.681 -2.140 0 0 8.681 -2.140 6.502 -1.690 1919 11 6.438 0.010 0 0 6.438 0.010 3.293 -0.506 1919 12 2.316 -1.849 0 0 2.316 -1.849 -0.998 -2.533 1920 1 3.521 0.498 0 0 3.521 0.498 0.324 -0.070 1920 2 3.814 -1.351 0 0 3.814 -1.351 2.031 -0.504 1920 3 6.485 0.371 0 0 6.485 0.371 2.977 -0.508 1920 4 6.603 -2.104 0 0 6.603 -2.104 3.868 -2.210 1920 5 9.857 -2.507 0 0 9.857 -2.507 7.877 -1.858 1920 6 14.053 -1.249 0 0 14.053 -1.249 11.662 -1.011 1920 7 17.289 -0.712 0 0 17.289 -0.712 15.966 0.594 1920 8 17.642 -0.175 0 0 17.642 -0.175 15.775 0.587 1920 9 13.018 -2.324 0 0 13.018 -2.324 11.977 -0.736 1920 10 8.960 -1.862 0 0 8.960 -1.862 7.267 -0.926 1920 11 6.824 0.396 0 0 6.824 0.396 4.282 0.483 1920 12 4.915 0.751 0 0 4.915 0.751 2.668 1.132 1921 1 3.507 0.484 0 0 3.507 0.484 0.848 0.455 1921 2 4.704 -0.461 0 0 4.704 -0.461 3.275 0.739 1921 3 5.942 -0.172 0 0 5.942 -0.172 3.212 -0.273 1921 4 7.372 -1.336 0 0 7.372 -1.336 4.736 -1.342 1921 5 12.131 -0.233 0 0 12.131 -0.233 9.301 -0.434 1921 6 14.906 -0.396 1 0 NaN NaN 12.579 -0.094 1921 7 15.761 -2.239 0 0 15.761 -2.239 13.992 -1.379 1921 8 16.760 -1.057 0 0 16.760 -1.057 14.782 -0.405 1921 9 12.793 -2.549 0 0 12.793 -2.549 10.962 -1.750 1921 10 NaN NaN NaN NaN NaN NaN 8.968 0.776 1921 11 NaN NaN NaN NaN NaN NaN 3.933 0.133 1921 12 2.963 -1.202 0 0 2.963 -1.202 0.536 -1.000 1922 1 1.223 -1.800 0 0 1.223 -1.800 -2.436 -2.830 1922 2 2.861 -2.304 0 0 2.861 -2.304 0.177 -2.358 1922 3 4.727 -1.387 0 0 4.727 -1.387 1.216 -2.269 1922 4 7.752 -0.956 0 0 7.752 -0.956 4.335 -1.744 1922 5 12.265 -0.099 0 0 12.265 -0.099 9.235 -0.499 1922 6 16.845 1.543 0 0 16.845 1.543 13.761 1.088 1922 7 17.471 -0.530 0 0 17.471 -0.530 15.365 -0.006 1922 8 17.956 0.140 0 0 17.956 0.140 15.067 -0.120 1922 9 15.145 -0.197 0 0 15.145 -0.197 13.234 0.522 1922 10 10.753 -0.068 0 0 10.753 -0.068 8.995 0.803 1922 11 5.065 -1.364 0 0 5.065 -1.364 2.498 -1.301 1922 12 2.252 -1.913 0 0 2.252 -1.913 -0.722 -2.257 1923 1 3.976 0.953 0 0 3.976 0.953 0.882 0.488 1923 2 2.400 -2.765 0 0 2.400 -2.765 0.106 -2.430 1923 3 6.381 0.266 0 0 6.381 0.266 2.706 -0.779 1923 4 10.307 1.599 0 0 10.307 1.599 6.741 0.662 1923 5 12.456 0.093 0 0 12.456 0.093 9.423 -0.312 1923 6 16.000 0.698 0 0 16.000 0.698 12.471 -0.202 1923 7 18.735 0.735 0 0 18.735 0.735 15.909 0.537 1923 8 19.244 1.427 0 0 19.244 1.427 16.407 1.219 1923 9 15.695 0.353 0 0 15.695 0.353 13.394 0.681 1923 10 11.634 0.812 0 0 11.634 0.812 9.077 0.885 1923 11 7.587 1.158 0 0 7.587 1.158 5.151 1.352 1923 12 NaN NaN NaN NaN NaN NaN 2.208 0.673 1924 1 NaN NaN NaN NaN NaN NaN 0.190 -0.204 1924 2 NaN NaN NaN NaN NaN NaN 5.166 2.630 1924 3 NaN NaN NaN NaN NaN NaN 2.966 -0.519 1924 4 NaN NaN NaN NaN NaN NaN 5.602 -0.476 1924 5 13.398 1.035 0 0 13.398 1.035 11.416 1.681 1924 6 15.812 0.510 1 0 NaN NaN 12.473 -0.200 1924 7 17.181 -0.820 0 0 17.181 -0.820 15.093 -0.279 1924 8 16.806 -1.010 0 0 16.806 -1.010 14.568 -0.620 1924 9 14.520 -0.822 1 0 NaN NaN 12.547 -0.166 1924 10 NaN NaN NaN NaN NaN NaN 8.372 0.179 1924 11 NaN NaN NaN NaN NaN NaN 2.984 -0.816 1924 12 NaN NaN NaN NaN NaN NaN -1.035 -2.570 1925 1 NaN NaN NaN NaN NaN NaN 1.605 1.211 1925 2 NaN NaN NaN NaN NaN NaN 4.510 1.974 1925 3 NaN NaN NaN NaN NaN NaN 3.380 -0.105 1925 4 NaN NaN NaN NaN NaN NaN 6.650 0.571 1925 5 NaN NaN NaN NaN NaN NaN 11.272 1.538 1925 6 NaN NaN NaN NaN NaN NaN 12.661 -0.013 1925 7 NaN NaN NaN NaN NaN NaN 16.485 1.114 1925 8 NaN NaN NaN NaN NaN NaN 14.713 -0.475 1925 9 NaN NaN NaN NaN NaN NaN 12.935 0.222 1925 10 9.543 -1.279 1 0 NaN NaN 7.934 -0.258 1925 11 6.012 -0.417 1 0 NaN NaN 3.693 -0.106 1925 12 6.969 2.805 1 0 NaN NaN 4.279 2.744 1926 1 5.066 2.043 1 0 NaN NaN 1.359 0.966 1926 2 NaN NaN NaN NaN NaN NaN 5.114 2.579 1926 3 NaN NaN NaN NaN NaN NaN 6.149 2.664 1926 4 NaN NaN NaN NaN NaN NaN 9.264 3.186 1926 5 NaN NaN NaN NaN NaN NaN 10.222 0.487 1926 6 NaN NaN NaN NaN NaN NaN 14.093 1.420 1926 7 NaN NaN NaN NaN NaN NaN 16.504 1.133 1926 8 NaN NaN NaN NaN NaN NaN 15.332 0.145 1926 9 NaN NaN NaN NaN NaN NaN 11.262 -1.450 1926 10 NaN NaN NaN NaN NaN NaN 9.375 1.183 1926 11 NaN NaN NaN NaN NaN NaN 5.673 1.874 1926 12 NaN NaN NaN NaN NaN NaN 1.386 -0.150 1927 1 NaN NaN NaN NaN NaN NaN 0.283 -0.111