% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37585 % Primary Name: WALLUM LAKE % Record Type: TAVG % Country: United States % State: RI % Latitude: 42.00000 +/- 0.00005 % Longitude: -71.76670 +/- 0.00005 % Elevation (m): 182.88 +/- 0.15 % # of Months: 88 % % Alternate Names: Missing Station ID - 378820 % % IDs: coop - 378820 % ghcnd - USC00378820 % ncdc - 12004879 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: c160284ebdc7738e4bee3eaca7d32cf7 % Raw Data Hash: f10a8bf52fba8a20b82e0392c263ae5b % Adj Data Hash: 2bcef86a839a87153fda25fe7fa85980 % % 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 1909 1 NaN NaN NaN NaN NaN NaN -4.550 1.195 1909 2 NaN NaN NaN NaN NaN NaN -3.420 1.247 1909 3 NaN NaN NaN NaN NaN NaN -0.591 -1.173 1909 4 NaN NaN NaN NaN NaN NaN 6.469 -0.537 1909 5 NaN NaN NaN NaN NaN NaN 11.891 -1.342 1909 6 NaN NaN NaN NaN NaN NaN 18.269 -0.026 1909 7 NaN NaN NaN NaN NaN NaN 19.479 -1.508 1909 8 NaN NaN NaN NaN NaN NaN 18.507 -1.321 1909 9 NaN NaN NaN NaN NaN NaN 14.700 -0.732 1909 10 NaN NaN NaN NaN NaN NaN 8.249 -1.149 1909 11 NaN NaN NaN NaN NaN NaN 5.274 1.606 1909 12 NaN NaN NaN NaN NaN NaN -5.369 -2.030 1910 1 -3.664 2.535 0 0 -3.664 2.535 -4.435 1.310 1910 2 -5.478 -0.357 0 0 -5.478 -0.357 -5.780 -1.113 1910 3 2.257 2.128 0 0 2.257 2.128 3.253 2.670 1910 4 8.075 1.524 0 0 8.075 1.524 9.305 2.299 1910 5 11.313 -1.466 0 0 11.313 -1.466 12.434 -0.799 1910 6 14.898 -2.942 0 0 14.898 -2.942 16.549 -1.746 1910 7 19.784 -0.749 0 0 19.784 -0.749 21.538 0.551 1910 8 16.760 -2.614 0 0 16.760 -2.614 18.490 -1.339 1910 9 13.400 -1.577 0 0 13.400 -1.577 15.025 -0.407 1910 10 9.014 0.070 0 0 9.014 0.070 9.948 0.550 1910 11 0.619 -2.595 1 0 NaN NaN 2.337 -1.332 1910 12 -6.971 -3.178 0 0 -6.971 -3.178 -7.245 -3.906 1911 1 -3.770 2.429 0 0 -3.770 2.429 -4.005 1.739 1911 2 -6.422 -1.300 0 0 -6.422 -1.300 -6.510 -1.843 1911 3 -1.853 -1.982 0 0 -1.853 -1.982 -1.450 -2.033 1911 4 3.728 -2.823 0 0 3.728 -2.823 5.319 -1.687 1911 5 13.665 0.886 0 0 13.665 0.886 16.133 2.899 1911 6 15.465 -2.375 0 0 15.465 -2.375 16.918 -1.376 1911 7 20.140 -0.392 0 0 20.140 -0.392 22.696 1.708 1911 8 17.219 -2.155 0 0 17.219 -2.155 19.202 -0.627 1911 9 12.528 -2.449 0 0 12.528 -2.449 14.450 -0.982 1911 10 6.936 -2.007 0 0 6.936 -2.007 8.114 -1.283 1911 11 0.197 -3.017 1 0 NaN NaN 2.550 -1.119 1911 12 -0.673 3.121 0 0 -0.673 3.121 -0.689 2.650 1912 1 -9.750 -3.551 0 0 -9.750 -3.551 -10.113 -4.368 1912 2 -7.633 -2.512 0 0 -7.633 -2.512 -6.844 -2.177 1912 3 -2.501 -2.630 0 0 -2.501 -2.630 -1.364 -1.947 1912 4 4.464 -2.088 0 0 4.464 -2.088 6.678 -0.328 1912 5 10.708 -2.071 0 0 10.708 -2.071 13.362 0.129 1912 6 14.860 -2.980 0 0 14.860 -2.980 17.143 -1.152 1912 7 14.968 -5.564 1 0 NaN NaN 21.025 0.037 1912 8 18.891 -0.483 1 0 NaN NaN 17.903 -1.925 1912 9 16.550 1.573 1 0 NaN NaN 14.827 -0.605 1912 10 12.518 3.574 0 0 12.518 3.574 10.225 0.828 1912 11 2.005 -1.210 0 0 2.005 -1.210 4.231 0.563 1912 12 -1.345 2.448 0 0 -1.345 2.448 -1.158 2.181 1913 1 -1.643 4.556 0 0 -1.643 4.556 -0.203 5.542 1913 2 -7.044 -1.922 0 0 -7.044 -1.922 -6.278 -1.611 1913 3 1.508 1.379 0 0 1.508 1.379 2.935 2.352 1913 4 5.458 -1.093 0 0 5.458 -1.093 7.654 0.648 1913 5 6.387 -6.391 1 0 NaN NaN 11.779 -1.455 1913 6 NaN NaN NaN NaN NaN NaN 17.626 -0.669 1913 7 22.945 2.412 0 0 22.945 2.412 21.026 0.038 1913 8 20.192 0.818 0 0 20.192 0.818 19.476 -0.353 1913 9 15.250 0.272 0 0 15.250 0.272 14.267 -1.165 1913 10 12.839 3.895 0 0 12.839 3.895 11.332 1.935 1913 11 6.530 3.316 0 0 6.530 3.316 5.140 1.472 1913 12 1.818 5.611 0 0 1.818 5.611 -1.736 1.603 1914 1 -3.402 2.797 0 0 -3.402 2.797 -6.281 -0.537 1914 2 -6.715 -1.593 0 0 -6.715 -1.593 -8.814 -4.147 1914 3 NaN NaN NaN NaN NaN NaN -0.278 -0.861 1914 4 4.831 -1.721 0 0 4.831 -1.721 5.060 -1.946 1914 5 14.344 1.566 0 0 14.344 1.566 14.040 0.807 1914 6 16.206 -1.635 0 0 16.206 -1.635 17.186 -1.109 1914 7 18.799 -1.734 1 0 NaN NaN 19.104 -1.884 1914 8 19.468 0.094 0 0 19.468 0.094 19.478 -0.351 1914 9 15.264 0.286 1 0 NaN NaN 15.004 -0.427 1914 10 11.869 2.926 1 0 NaN NaN 10.941 1.544 1914 11 4.288 1.073 1 0 NaN NaN 2.760 -0.909 1914 12 -2.956 0.837 1 0 NaN NaN -5.622 -2.283 1915 1 -4.294 1.905 0 0 -4.294 1.905 -3.822 1.922 1915 2 -3.287 1.835 0 0 -3.287 1.835 -2.934 1.733 1915 3 -1.621 -1.750 0 0 -1.621 -1.750 -0.866 -1.449 1915 4 0.400 -6.151 1 0 NaN NaN 9.154 2.148 1915 5 NaN NaN NaN NaN NaN NaN 11.503 -1.730 1915 6 22.050 4.210 1 0 NaN NaN 16.733 -1.562 1915 7 NaN NaN NaN NaN NaN NaN 19.881 -1.106 1915 8 15.791 -3.584 1 0 NaN NaN 18.392 -1.437 1915 9 16.045 1.067 0 0 16.045 1.067 17.184 1.752 1915 10 10.174 1.231 0 0 10.174 1.231 10.006 0.608 1915 11 4.455 1.240 0 0 4.455 1.240 4.425 0.757 1915 12 -2.174 1.619 0 0 -2.174 1.619 -3.869 -0.530 1916 1 -1.342 4.857 0 0 -1.342 4.857 -3.508 2.237 1916 2 NaN NaN NaN NaN NaN NaN -7.299 -2.632 1916 3 -5.761 -5.890 1 0 NaN NaN -3.909 -4.492 1916 4 4.523 -2.028 0 0 4.523 -2.028 5.901 -1.105 1916 5 11.418 -1.360 0 0 11.418 -1.360 12.856 -0.377 1916 6 13.015 -4.826 1 0 NaN NaN 15.334 -2.961 1916 7 20.117 -0.416 1 0 NaN NaN 21.543 0.555 1916 8 21.130 1.756 0 0 21.130 1.756 20.301 0.472 1916 9 17.891 2.913 1 0 NaN NaN 15.272 -0.159 1916 10 13.032 4.088 1 0 NaN NaN 9.660 0.262 1916 11 9.025 5.811 1 0 NaN NaN 2.858 -0.811 1916 12 -1.221 2.572 1 0 NaN NaN -4.355 -1.016 1917 1 2.325 8.524 1 0 NaN NaN -5.652 0.093 1917 2 NaN NaN NaN NaN NaN NaN -7.431 -2.764 1917 3 1.180 1.052 1 0 NaN NaN -0.178 -0.760 1917 4 4.590 -1.961 1 0 NaN NaN 5.080 -1.925 1917 5 7.976 -4.803 1 0 NaN NaN 8.537 -4.697 1917 6 16.880 -0.961 1 0 NaN NaN 17.433 -0.862 1917 7 20.008 -0.525 0 0 20.008 -0.525 21.368 0.381 1917 8 19.665 0.291 0 0 19.665 0.291 20.797 0.968 1917 9 12.136 -2.841 0 0 12.136 -2.841 13.274 -2.158 1917 10 6.860 -2.083 1 0 NaN NaN 7.582 -1.816 1917 11 NaN NaN NaN NaN NaN NaN 1.117 -2.552 1917 12 NaN NaN NaN NaN NaN NaN -9.408 -6.069 1918 1 NaN NaN NaN NaN NaN NaN -10.746 -5.001 1918 2 NaN NaN NaN NaN NaN NaN -7.236 -2.569 1918 3 NaN NaN NaN NaN NaN NaN 0.324 -0.259 1918 4 NaN NaN NaN NaN NaN NaN 6.881 -0.125 1918 5 NaN NaN NaN NaN NaN NaN 15.854 2.621 1918 6 NaN NaN NaN NaN NaN NaN 15.921 -2.374 1918 7 NaN NaN NaN NaN NaN NaN 20.326 -0.662 1918 8 NaN NaN NaN NaN NaN NaN 20.092 0.263 1918 9 NaN NaN NaN NaN NaN NaN 13.350 -2.081 1918 10 NaN NaN NaN NaN NaN NaN 10.377 0.979