% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41637 % Primary Name: SEAVIEW % Record Type: TAVG % Country: United States % State: WA % Latitude: 46.33330 +/- 0.00005 % Longitude: -124.03330 +/- 0.00005 % Elevation (m): 2.44 +/- 0.15 % # of Months: 24 % % Alternate Names: Missing Station ID - 457498 % % IDs: coop - 457498 % ghcnd - USC00457498 % ncdc - 12005986 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 9aeaed546c8a7541e109c4cc7cf5f355 % Raw Data Hash: 9693f902768f7e8d409b0658ee19da9f % Adj Data Hash: 35fa4a9f0951c99d9946c8ca13878edb % % 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 1912 4 NaN NaN NaN NaN NaN NaN 7.116 -1.237 1912 5 NaN NaN NaN NaN NaN NaN 12.103 0.612 1912 6 NaN NaN NaN NaN NaN NaN 13.979 -0.164 1912 7 NaN NaN NaN NaN NaN NaN 15.957 -0.344 1912 8 NaN NaN NaN NaN NaN NaN 15.326 -0.940 1912 9 NaN NaN NaN NaN NaN NaN 14.384 -0.348 1912 10 NaN NaN NaN NaN NaN NaN 9.064 -1.688 1912 11 NaN NaN NaN NaN NaN NaN 6.797 0.136 1912 12 NaN NaN NaN NaN NaN NaN 4.426 0.027 1913 1 NaN NaN NaN NaN NaN NaN 1.850 -1.645 1913 2 NaN NaN NaN NaN NaN NaN 4.061 -1.502 1913 3 NaN NaN NaN NaN NaN NaN 4.691 -1.669 1913 4 7.683 0.330 1 0 NaN NaN 7.679 -0.674 1913 5 NaN NaN NaN NaN NaN NaN 11.060 -0.431 1913 6 NaN NaN NaN NaN NaN NaN 13.793 -0.351 1913 7 NaN NaN NaN NaN NaN NaN 16.148 -0.152 1913 8 NaN NaN NaN NaN NaN NaN 16.631 0.365 1913 9 NaN NaN NaN NaN NaN NaN 14.467 -0.266 1913 10 NaN NaN NaN NaN NaN NaN 9.794 -0.958 1913 11 NaN NaN NaN NaN NaN NaN 6.761 0.100 1913 12 5.084 1.686 1 0 NaN NaN 4.325 -0.074 1914 1 6.582 4.087 0 0 6.582 4.087 5.589 2.094 1914 2 6.198 1.636 1 0 NaN NaN 5.995 0.433 1914 3 7.445 2.086 0 0 7.445 2.086 8.163 1.804 1914 4 8.450 1.097 0 0 8.450 1.097 9.248 0.895 1914 5 10.046 -0.445 1 0 NaN NaN 12.659 1.167 1914 6 11.839 -1.305 1 0 NaN NaN 13.086 -1.058 1914 7 12.960 -2.340 0 0 12.960 -2.340 16.048 -0.252 1914 8 12.765 -2.502 0 0 12.765 -2.502 15.779 -0.488 1914 9 10.598 -3.133 1 0 NaN NaN 12.942 -1.790 1914 10 10.798 1.046 0 0 10.798 1.046 11.786 1.034 1914 11 6.779 1.119 1 0 NaN NaN 6.856 0.196 1914 12 3.368 -0.031 1 0 NaN NaN 1.970 -2.429 1915 1 4.548 2.054 0 0 4.548 2.054 3.046 -0.449 1915 2 NaN NaN NaN NaN NaN NaN 6.477 0.914 1915 3 8.816 3.456 0 0 8.816 3.456 8.871 2.511 1915 4 9.056 1.704 0 0 9.056 1.704 9.822 1.469 1915 5 10.485 -0.006 1 0 NaN NaN 11.395 -0.096 1915 6 NaN NaN NaN NaN NaN NaN 13.709 -0.434 1915 7 14.222 -1.078 1 0 NaN NaN 16.026 -0.275 1915 8 14.753 -0.513 0 0 14.753 -0.513 17.580 1.313 1915 9 11.795 -1.937 0 0 11.795 -1.937 14.318 -0.415 1915 10 10.582 0.830 1 0 NaN NaN 11.100 0.348 1915 11 5.982 0.322 0 0 5.982 0.322 5.704 -0.956 1915 12 7.489 4.090 1 0 NaN NaN 4.439 0.040 1916 1 NaN NaN NaN NaN NaN NaN -1.673 -5.168 1916 2 NaN NaN NaN NaN NaN NaN 6.320 0.757 1916 3 NaN NaN NaN NaN NaN NaN 5.830 -0.529 1916 4 NaN NaN NaN NaN NaN NaN 8.227 -0.126 1916 5 NaN NaN NaN NaN NaN NaN 9.670 -1.821 1916 6 NaN NaN NaN NaN NaN NaN 13.090 -1.053 1916 7 NaN NaN NaN NaN NaN NaN 14.679 -1.622 1916 8 NaN NaN NaN NaN NaN NaN 15.832 -0.434 1916 9 NaN NaN NaN NaN NaN NaN 14.302 -0.430 1916 10 NaN NaN NaN NaN NaN NaN 9.344 -1.408 1916 11 NaN NaN NaN NaN NaN NaN 4.631 -2.029 1916 12 NaN NaN NaN NaN NaN NaN 2.543 -1.856