% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42489 % Primary Name: FORT SPOKANE % Record Type: TAVG % Country: United States % State: WA % Latitude: 47.83330 +/- 0.00005 % Longitude: -118.25000 +/- 0.00005 % Elevation (m): 487.68 +/- 0.15 % # of Months: 39 % % Alternate Names: Missing Station ID - 452972 % % IDs: coop - 452972 % ghcnd - USC00452972 % ncdc - 12005877 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: b68423f5c2a18c59a78fb06f17c87dc7 % Raw Data Hash: 629d8b7c6db03452c4b84ed739a23cf7 % Adj Data Hash: 2caca4d26a65efafd244dfce68deb367 % % 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 1895 1 NaN NaN NaN NaN NaN NaN -4.041 -0.791 1895 2 NaN NaN NaN NaN NaN NaN 1.369 1.093 1895 3 NaN NaN NaN NaN NaN NaN 1.978 -0.847 1895 4 NaN NaN NaN NaN NaN NaN 7.673 0.694 1895 5 NaN NaN NaN NaN NaN NaN 10.914 -0.730 1895 6 NaN NaN NaN NaN NaN NaN 14.397 -1.108 1895 7 NaN NaN NaN NaN NaN NaN 18.181 -1.184 1895 8 NaN NaN NaN NaN NaN NaN 17.754 -0.916 1895 9 NaN NaN NaN NaN NaN NaN 10.686 -3.604 1895 10 NaN NaN NaN NaN NaN NaN 9.002 0.959 1895 11 NaN NaN NaN NaN NaN NaN 1.542 -0.231 1895 12 NaN NaN NaN NaN NaN NaN -1.544 -0.003 1896 1 -2.448 0.210 0 0 -2.448 0.210 -1.743 1.507 1896 2 2.031 1.164 0 0 2.031 1.164 3.077 2.802 1896 3 3.405 -0.012 0 0 3.405 -0.012 1.329 -1.497 1896 4 7.481 -0.089 0 0 7.481 -0.089 5.151 -1.828 1896 5 9.667 -2.569 0 0 9.667 -2.569 8.757 -2.887 1896 6 16.148 0.052 0 0 16.148 0.052 15.172 -0.333 1896 7 22.402 2.446 0 0 22.402 2.446 21.133 1.768 1896 8 20.233 0.972 0 0 20.233 0.972 18.544 -0.127 1896 9 14.615 -0.266 0 0 14.615 -0.266 13.129 -1.161 1896 10 8.907 0.273 0 0 8.907 0.273 8.766 0.723 1896 11 -2.593 -4.957 0 0 -2.593 -4.957 -2.505 -4.278 1896 12 0.968 1.917 0 0 0.968 1.917 1.783 3.324 1897 1 -1.577 1.082 0 0 -1.577 1.082 -3.222 0.028 1897 2 -0.556 -1.422 0 0 -0.556 -1.422 0.552 0.276 1897 3 NaN NaN NaN NaN NaN NaN -1.591 -4.417 1897 4 10.574 3.004 0 0 10.574 3.004 8.016 1.037 1897 5 16.864 4.628 0 0 16.864 4.628 14.967 3.323 1897 6 17.259 1.163 0 0 17.259 1.163 14.597 -0.908 1897 7 18.656 -1.300 0 0 18.656 -1.300 16.871 -2.494 1897 8 21.864 2.602 0 0 21.864 2.602 20.396 1.726 1897 9 14.204 -0.678 0 0 14.204 -0.678 13.123 -1.168 1897 10 6.846 -1.788 0 0 6.846 -1.788 8.127 0.084 1897 11 0.611 -1.753 0 0 0.611 -1.753 0.605 -1.168 1897 12 -3.781 -2.831 0 0 -3.781 -2.831 -2.048 -0.507 1898 1 -5.860 -3.202 0 0 -5.860 -3.202 -4.673 -1.424 1898 2 1.270 0.403 0 0 1.270 0.403 2.906 2.630 1898 3 2.724 -0.693 0 0 2.724 -0.693 0.284 -2.541 1898 4 9.704 2.134 0 0 9.704 2.134 7.599 0.620 1898 5 12.093 -0.143 0 0 12.093 -0.143 11.292 -0.352 1898 6 16.686 0.589 0 0 16.686 0.589 14.877 -0.628 1898 7 21.075 1.119 0 0 21.075 1.119 19.007 -0.358 1898 8 22.849 3.588 0 0 22.849 3.588 21.094 2.424 1898 9 15.815 0.933 0 0 15.815 0.933 14.558 0.268 1898 10 7.867 -0.767 0 0 7.867 -0.767 7.017 -1.026 1898 11 0.833 -1.531 0 0 0.833 -1.531 0.123 -1.650 1898 12 -7.330 -6.380 0 0 -7.330 -6.380 -4.500 -2.959 1899 1 -5.018 -2.359 0 0 -5.018 -2.359 -2.985 0.265 1899 2 -5.833 -6.700 0 0 -5.833 -6.700 -4.009 -4.284 1899 3 1.900 -1.517 0 0 1.900 -1.517 0.919 -1.907 1899 4 7.176 -0.394 1 0 NaN NaN 5.491 -1.488 1899 5 NaN NaN NaN NaN NaN NaN 9.383 -2.262 1899 6 NaN NaN NaN NaN NaN NaN 13.459 -2.046 1899 7 NaN NaN NaN NaN NaN NaN 19.485 0.120 1899 8 NaN NaN NaN NaN NaN NaN 15.207 -3.463 1899 9 NaN NaN NaN NaN NaN NaN 15.458 1.168 1899 10 NaN NaN NaN NaN NaN NaN 7.315 -0.728 1899 11 NaN NaN NaN NaN NaN NaN 5.558 3.784 1899 12 NaN NaN NaN NaN NaN NaN -0.056 1.485 1900 1 NaN NaN NaN NaN NaN NaN 0.605 3.855 1900 2 NaN NaN NaN NaN NaN NaN -0.466 -0.742 1900 3 NaN NaN NaN NaN NaN NaN 5.127 2.301 1900 4 NaN NaN NaN NaN NaN NaN 8.235 1.256