% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42120 % Primary Name: NEPPEL % Record Type: TAVG % Country: United States % State: WA % Latitude: 47.13330 +/- 0.00005 % Longitude: -119.13330 +/- 0.00005 % Elevation (m): 326.14 +/- 0.15 % # of Months: 47 % % Alternate Names: Missing Station ID - 455822 % % IDs: coop - 455822 % ghcnd - USC00455822 % ncdc - 12005953 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 434a984f297a87ce79de6095635d120c % Raw Data Hash: ea958e0b082f1c5c8285d56c6d84ee26 % Adj Data Hash: 4217e551b55bf9db223308f513731395 % % 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 1911 6 NaN NaN NaN NaN NaN NaN 17.371 -0.280 1911 7 NaN NaN NaN NaN NaN NaN 22.033 0.543 1911 8 NaN NaN NaN NaN NaN NaN 19.686 -1.036 1911 9 NaN NaN NaN NaN NaN NaN 13.957 -2.154 1911 10 NaN NaN NaN NaN NaN NaN 8.781 -0.277 1911 11 NaN NaN NaN NaN NaN NaN 0.104 -1.753 1911 12 NaN NaN NaN NaN NaN NaN -2.475 -0.088 1912 1 NaN NaN NaN NaN NaN NaN -5.871 -1.531 1912 2 NaN NaN NaN NaN NaN NaN 1.753 1.839 1912 3 NaN NaN NaN NaN NaN NaN 2.378 -1.430 1912 4 NaN NaN NaN NaN NaN NaN 8.147 -0.400 1912 5 NaN NaN NaN NaN NaN NaN 14.125 0.585 1912 6 20.975 1.399 0 0 20.975 1.399 18.284 0.634 1912 7 22.053 -1.361 0 0 22.053 -1.361 20.263 -1.227 1912 8 19.389 -3.258 0 0 19.389 -3.258 18.301 -2.421 1912 9 15.000 -3.035 0 0 15.000 -3.035 14.133 -1.977 1912 10 NaN NaN NaN NaN NaN NaN 7.182 -1.877 1912 11 4.372 0.589 0 0 4.372 0.589 2.807 0.950 1912 12 NaN NaN NaN NaN NaN NaN -0.991 1.396 1913 1 -6.148 -3.734 0 0 -6.148 -3.734 -6.694 -2.355 1913 2 NaN NaN NaN NaN NaN NaN -4.144 -4.058 1913 3 NaN NaN NaN NaN NaN NaN 1.486 -2.322 1913 4 10.823 0.352 0 0 10.823 0.352 8.286 -0.261 1913 5 15.582 0.118 0 0 15.582 0.118 13.088 -0.451 1913 6 19.300 -0.276 0 0 19.300 -0.276 17.181 -0.470 1913 7 NaN NaN NaN NaN NaN NaN 20.670 -0.820 1913 8 NaN NaN NaN NaN NaN NaN 20.935 0.213 1913 9 14.993 -3.042 0 0 14.993 -3.042 15.216 -0.894 1913 10 NaN NaN NaN NaN NaN NaN 7.612 -1.446 1913 11 NaN NaN NaN NaN NaN NaN 2.987 1.130 1913 12 NaN NaN NaN NaN NaN NaN -1.863 0.525 1914 1 1.845 4.260 0 0 1.845 4.260 -0.702 3.638 1914 2 1.707 -0.131 0 0 1.707 -0.131 -0.587 -0.501 1914 3 7.135 1.402 0 0 7.135 1.402 4.937 1.129 1914 4 11.633 1.162 0 0 11.633 1.162 9.137 0.590 1914 5 17.081 1.617 0 0 17.081 1.617 14.514 0.975 1914 6 NaN NaN NaN NaN NaN NaN 16.036 -1.615 1914 7 23.990 0.576 0 0 23.990 0.576 22.231 0.741 1914 8 23.532 0.885 0 0 23.532 0.885 21.362 0.640 1914 9 16.110 -1.925 0 0 16.110 -1.925 14.215 -1.895 1914 10 12.026 1.043 0 0 12.026 1.043 10.112 1.054 1914 11 4.505 0.723 0 0 4.505 0.723 2.688 0.831 1914 12 -5.476 -5.013 0 0 -5.476 -5.013 -6.193 -3.805 1915 1 -3.704 -1.289 0 0 -3.704 -1.289 -5.758 -1.418 1915 2 3.100 1.261 0 0 3.100 1.261 2.022 2.108 1915 3 9.003 3.271 1 0 NaN NaN 6.030 2.222 1915 4 NaN NaN NaN NaN NaN NaN 10.619 2.072 1915 5 15.567 0.103 0 0 15.567 0.103 13.102 -0.437 1915 6 19.452 -0.124 0 0 19.452 -0.124 16.864 -0.787 1915 7 24.271 0.857 1 0 NaN NaN 20.640 -0.849 1915 8 25.526 2.879 0 0 25.526 2.879 23.357 2.635 1915 9 16.910 -1.125 1 0 NaN NaN 15.181 -0.929 1915 10 12.015 1.033 1 0 NaN NaN 10.148 1.089 1915 11 2.283 -1.499 0 0 2.283 -1.499 0.031 -1.827 1915 12 -0.363 0.100 0 0 -0.363 0.100 -2.307 0.081 1916 1 -8.525 -6.110 0 0 -8.525 -6.110 -11.213 -6.873 1916 2 -1.808 -3.647 1 0 NaN NaN -1.458 -1.372 1916 3 NaN NaN NaN NaN NaN NaN 3.304 -0.504 1916 4 NaN NaN NaN NaN NaN NaN 8.345 -0.202 1916 5 13.854 -1.610 0 0 13.854 -1.610 11.445 -2.095 1916 6 NaN NaN NaN NaN NaN NaN 15.886 -1.765 1916 7 21.359 -2.055 0 0 21.359 -2.055 18.567 -2.922 1916 8 23.497 0.850 1 0 NaN NaN 20.662 -0.060 1916 9 17.857 -0.179 0 0 17.857 -0.179 15.909 -0.202 1916 10 9.869 -1.114 1 0 NaN NaN 8.723 -0.335 1916 11 0.713 -3.069 0 0 0.713 -3.069 -0.920 -2.777 1916 12 -4.270 -3.807 0 0 -4.270 -3.807 -5.538 -3.150 1917 1 -3.781 -1.366 0 0 -3.781 -1.366 -5.549 -1.209 1917 2 -0.983 -2.822 0 0 -0.983 -2.822 -1.555 -1.469 1917 3 3.019 -2.713 0 0 3.019 -2.713 -0.063 -3.871 1917 4 8.692 -1.780 0 0 8.692 -1.780 5.904 -2.643 1917 5 14.442 -1.022 0 0 14.442 -1.022 12.724 -0.816 1917 6 16.435 -3.141 1 0 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 NaN NaN NaN NaN NaN NaN 8.655 0.109 1918 5 NaN NaN NaN NaN NaN NaN 12.156 -1.384 1918 6 NaN NaN NaN NaN NaN NaN 19.410 1.760