% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42411 % Primary Name: DESTRUCTION ISLAND LS % Record Type: TAVG % Country: United States % State: WA % Latitude: 47.66670 +/- 0.00005 % Longitude: -124.48330 +/- 0.00005 % Elevation (m): 22.55 +/- 1.60 % # of Months: 26 % % Alternate Names: DESTRUCTION ISLAND L % Missing Station ID - 452126 % % IDs: coop - 452126 % faa - DSI % ghcnd - USC00452126 % ncdc - 20027780 % nws - DSI % wban - 24277 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 64ef761ea3d5bd935507e768a284b7df % Raw Data Hash: 2a765c7a5569462fd10d7bb34c684f7b % Adj Data Hash: da8a8b72c4e67f7e0c198a22677beb04 % % 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 1943 1 NaN NaN NaN NaN NaN NaN 1.553 -2.425 1943 2 NaN NaN NaN NaN NaN NaN 6.495 1.159 1943 3 NaN NaN NaN NaN NaN NaN 4.801 -0.727 1943 4 NaN NaN NaN NaN NaN NaN 8.183 0.930 1943 5 NaN NaN NaN NaN NaN NaN 8.923 -1.033 1943 6 NaN NaN NaN NaN NaN NaN 11.372 -0.728 1943 7 NaN NaN NaN NaN NaN NaN 13.666 -0.370 1943 8 NaN NaN NaN NaN NaN NaN 13.745 -0.606 1943 9 NaN NaN NaN NaN NaN NaN 14.741 1.310 1943 10 NaN NaN NaN NaN NaN NaN 10.876 0.628 1943 11 NaN NaN NaN NaN NaN NaN 8.130 1.129 1943 12 NaN NaN NaN NaN NaN NaN 5.351 0.236 1944 1 7.056 2.295 0 0 7.056 2.295 5.033 1.055 1944 2 6.556 0.438 0 0 6.556 0.438 5.698 0.362 1944 3 7.389 1.079 0 0 7.389 1.079 5.127 -0.401 1944 4 9.000 0.965 0 0 9.000 0.965 7.219 -0.034 1944 5 11.056 0.317 0 0 11.056 0.317 9.871 -0.085 1944 6 12.278 -0.605 0 0 12.278 -0.605 11.538 -0.563 1944 7 13.722 -1.095 0 0 13.722 -1.095 13.998 -0.038 1944 8 14.111 -1.021 0 0 14.111 -1.021 13.935 -0.415 1944 9 13.556 -0.657 0 0 13.556 -0.657 14.521 1.090 1944 10 13.000 1.971 0 0 13.000 1.971 12.404 2.156 1944 11 9.389 1.606 0 0 9.389 1.606 7.846 0.845 1944 12 6.278 0.381 0 0 6.278 0.381 4.778 -0.337 1945 1 7.556 2.795 0 0 7.556 2.795 5.614 1.635 1945 2 7.056 0.938 0 0 7.056 0.938 6.183 0.847 1945 3 6.722 0.412 0 0 6.722 0.412 4.695 -0.833 1945 4 8.167 0.132 0 0 8.167 0.132 6.041 -1.212 1945 5 11.667 0.929 0 0 11.667 0.929 10.745 0.789 1945 6 12.111 -0.771 0 0 12.111 -0.771 11.255 -0.846 1945 7 12.778 -2.039 0 0 12.778 -2.039 13.878 -0.157 1945 8 12.667 -2.466 0 0 12.667 -2.466 13.740 -0.611 1945 9 11.556 -2.657 0 0 11.556 -2.657 12.474 -0.957 1945 10 10.444 -0.585 0 0 10.444 -0.585 10.487 0.240 1945 11 7.000 -0.783 0 0 7.000 -0.783 6.157 -0.845 1945 12 6.667 0.770 0 0 6.667 0.770 5.404 0.290 1946 1 6.600 1.840 1 0 NaN NaN 4.787 0.809 1946 2 6.000 -0.118 0 0 6.000 -0.118 5.595 0.258 1946 3 NaN NaN NaN NaN NaN NaN 5.212 -0.316 1946 4 NaN NaN NaN NaN NaN NaN 6.590 -0.664 1946 5 NaN NaN NaN NaN NaN NaN 11.288 1.332 1946 6 NaN NaN NaN NaN NaN NaN 11.128 -0.973 1946 7 NaN NaN NaN NaN NaN NaN 13.994 -0.042 1946 8 NaN NaN NaN NaN NaN NaN 14.079 -0.272 1946 9 NaN NaN NaN NaN NaN NaN 13.193 -0.238 1946 10 NaN NaN NaN NaN NaN NaN 8.607 -1.641 1946 11 NaN NaN NaN NaN NaN NaN 5.318 -1.684 1946 12 NaN NaN NaN NaN NaN NaN 5.004 -0.111 1947 1 NaN NaN NaN NaN NaN NaN 2.148 -1.831 1947 2 NaN NaN NaN NaN NaN NaN 6.955 1.619