% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41256 % Primary Name: GRAND RIVER SCHOOL % Record Type: TAVG % Country: United States % State: SD % Latitude: 45.76670 +/- 0.00005 % Longitude: -101.05000 +/- 0.00005 % Elevation (m): 575.52 +/- 71.98 % # of Months: 88 % % Alternate Names: Missing Station ID - 393410 % % IDs: coop - 393410 % ghcnd - USC00393410 % ncdc - 12004953 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: ddb412ed60afd0b68b1e459671514494 % Raw Data Hash: f5fe5d73390b74f848dbfd13adff97d8 % Adj Data Hash: 5e957abe6541b5cef2026adabd749feb % % 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 1898 10 NaN NaN NaN NaN NaN NaN 5.387 -3.100 1898 11 NaN NaN NaN NaN NaN NaN -3.930 -2.939 1898 12 NaN NaN NaN NaN NaN NaN -9.515 -1.167 1899 1 NaN NaN NaN NaN NaN NaN -12.559 0.174 1899 2 NaN NaN NaN NaN NaN NaN -15.465 -6.819 1899 3 NaN NaN NaN NaN NaN NaN -12.257 -9.659 1899 4 NaN NaN NaN NaN NaN NaN 4.782 -1.479 1899 5 NaN NaN NaN NaN NaN NaN 11.389 -1.916 1899 6 NaN NaN NaN NaN NaN NaN 17.680 -0.960 1899 7 NaN NaN NaN NaN NaN NaN 21.818 -0.396 1899 8 NaN NaN NaN NaN NaN NaN 20.593 -0.749 1899 9 NaN NaN NaN NaN NaN NaN 14.256 -0.840 1899 10 8.154 -1.369 0 0 8.154 -1.369 7.992 -0.496 1899 11 3.352 3.307 0 0 3.352 3.307 3.180 4.171 1899 12 -7.718 -0.407 0 0 -7.718 -0.407 -9.093 -0.746 1900 1 -5.000 6.697 0 0 -5.000 6.697 -7.419 5.314 1900 2 -10.842 -3.232 0 0 -10.842 -3.232 -12.915 -4.269 1900 3 -2.384 -0.821 0 0 -2.384 -0.821 -4.695 -2.097 1900 4 11.037 3.740 0 0 11.037 3.740 9.602 3.341 1900 5 17.276 2.935 0 0 17.276 2.935 16.017 2.712 1900 6 21.685 2.009 0 0 21.685 2.009 19.992 1.352 1900 7 22.857 -0.393 1 0 NaN NaN 22.115 -0.099 1900 8 NaN NaN NaN NaN NaN NaN 23.326 1.984 1900 9 NaN NaN NaN NaN NaN NaN 13.935 -1.161 1900 10 10.591 1.068 0 0 10.591 1.068 10.954 2.467 1900 11 -3.537 -3.582 0 0 -3.537 -3.582 -4.325 -3.334 1900 12 -2.867 4.444 0 0 -2.867 4.444 -5.251 3.097 1901 1 -6.362 5.335 0 0 -6.362 5.335 -9.694 3.039 1901 2 -8.968 -1.358 0 0 -8.968 -1.358 -10.528 -1.882 1901 3 0.287 1.849 0 0 0.287 1.849 -1.703 0.895 1901 4 9.907 2.611 0 0 9.907 2.611 8.140 1.879 1901 5 16.774 2.434 0 0 16.774 2.434 16.194 2.889 1901 6 18.766 -0.911 0 0 18.766 -0.911 17.711 -0.929 1901 7 25.412 2.162 0 0 25.412 2.162 24.560 2.346 1901 8 22.599 0.221 0 0 22.599 0.221 21.626 0.283 1901 9 14.425 -1.707 0 0 14.425 -1.707 12.930 -2.166 1901 10 10.611 1.088 0 0 10.611 1.088 11.108 2.621 1901 11 0.409 0.365 1 0 NaN NaN -0.592 0.399 1901 12 -7.742 -0.430 0 0 -7.742 -0.430 -9.055 -0.708 1902 1 -7.278 4.420 0 0 -7.278 4.420 -10.204 2.529 1902 2 -9.286 -1.676 0 0 -9.286 -1.676 -9.514 -0.868 1902 3 -0.648 0.914 0 0 -0.648 0.914 -2.334 0.264 1902 4 6.870 -0.426 0 0 6.870 -0.426 5.771 -0.490 1902 5 15.520 1.179 0 0 15.520 1.179 14.521 1.217 1902 6 16.389 -3.287 0 0 16.389 -3.287 15.408 -3.233 1902 7 22.426 -0.824 0 0 22.426 -0.824 21.416 -0.799 1902 8 20.498 -1.880 0 0 20.498 -1.880 19.947 -1.395 1902 9 14.195 -1.937 0 0 14.195 -1.937 13.067 -2.029 1902 10 8.799 -0.724 0 0 8.799 -0.724 8.893 0.405 1902 11 0.093 0.048 0 0 0.093 0.048 -0.543 0.448 1902 12 -8.925 -1.613 0 0 -8.925 -1.613 -11.353 -3.006 1903 1 -6.828 4.869 0 0 -6.828 4.869 -10.375 2.358 1903 2 -10.853 -3.243 0 0 -10.853 -3.243 -12.918 -4.272 1903 3 -1.272 0.290 0 0 -1.272 0.290 -3.593 -0.994 1903 4 8.500 1.203 0 0 8.500 1.203 7.014 0.754 1903 5 13.778 -0.563 0 0 13.778 -0.563 13.223 -0.082 1903 6 18.833 -0.843 0 0 18.833 -0.843 18.002 -0.638 1903 7 21.846 -1.404 0 0 21.846 -1.404 21.038 -1.176 1903 8 19.754 -2.624 0 0 19.754 -2.624 19.351 -1.991 1903 9 11.922 -4.210 0 0 11.922 -4.210 11.724 -3.372 1903 10 8.068 -1.455 0 0 8.068 -1.455 10.431 1.943 1903 11 -3.235 -3.280 0 0 -3.235 -3.280 -2.173 -1.182 1903 12 -10.645 -3.333 0 0 -10.645 -3.333 -9.513 -1.166 1904 1 NaN NaN NaN NaN NaN NaN -14.653 -1.920 1904 2 -16.467 -8.857 0 0 -16.467 -8.857 -15.944 -7.298 1904 3 -2.829 -1.267 0 0 -2.829 -1.267 -5.168 -2.569 1904 4 7.032 -0.265 0 0 7.032 -0.265 4.749 -1.512 1904 5 13.240 -1.100 0 0 13.240 -1.100 12.783 -0.521 1904 6 17.997 -1.679 0 0 17.997 -1.679 16.836 -1.804 1904 7 20.435 -2.815 1 0 NaN NaN 19.405 -2.809 1904 8 20.519 -1.859 0 0 20.519 -1.859 19.717 -1.625 1904 9 15.550 -0.582 0 0 15.550 -0.582 14.052 -1.044 1904 10 10.811 1.288 0 0 10.811 1.288 10.890 2.403 1904 11 3.318 3.274 0 0 3.318 3.274 2.930 3.921 1904 12 -6.826 0.486 0 0 -6.826 0.486 -8.170 0.177 1905 1 -13.452 -1.755 0 0 -13.452 -1.755 -15.965 -3.232 1905 2 -11.516 -3.906 0 0 -11.516 -3.906 -11.987 -3.342 1905 3 4.024 5.587 0 0 4.024 5.587 2.224 4.822 1905 4 6.772 -0.525 0 0 6.772 -0.525 5.687 -0.574 1905 5 11.428 -2.913 0 0 11.428 -2.913 10.414 -2.891 1905 6 17.590 -2.086 0 0 17.590 -2.086 16.197 -2.444 1905 7 20.469 -2.781 1 0 NaN NaN 19.667 -2.547 1905 8 21.685 -0.693 0 0 21.685 -0.693 21.198 -0.144 1905 9 NaN NaN NaN NaN NaN NaN 16.367 1.271 1905 10 6.618 -2.905 0 0 6.618 -2.905 6.586 -1.901 1905 11 1.040 0.995 0 0 1.040 0.995 1.085 2.076 1905 12 -7.363 -0.051 0 0 -7.363 -0.051 -8.130 0.217 1906 1 -9.072 2.625 0 0 -9.072 2.625 -10.495 2.238 1906 2 NaN NaN NaN NaN NaN NaN -8.840 -0.194 1906 3 -5.756 -4.194 0 0 -5.756 -4.194 -7.237 -4.638 1906 4 10.552 3.255 0 0 10.552 3.255 9.371 3.110 1906 5 NaN NaN NaN NaN NaN NaN 11.906 -1.399 1906 6 17.850 -1.826 1 0 NaN NaN 16.854 -1.786 1906 7 21.157 -2.093 0 0 21.157 -2.093 20.836 -1.378 1906 8 20.460 -1.918 0 0 20.460 -1.918 20.294 -1.048 1906 9 17.947 1.815 0 0 17.947 1.815 17.149 2.053 1906 10 8.976 -0.547 0 0 8.976 -0.547 9.577 1.090 1906 11 -0.759 -0.804 1 0 NaN NaN -2.007 -1.016 1906 12 -8.245 -0.934 0 0 -8.245 -0.934 -10.327 -1.979 1907 1 NaN NaN NaN NaN NaN NaN -19.187 -6.454 1907 2 -10.831 -3.221 1 0 NaN NaN -8.153 0.492 1907 3 1.157 2.719 1 0 NaN NaN -1.069 1.529 1907 4 NaN NaN NaN NaN NaN NaN 2.403 -3.858 1907 5 8.830 -5.511 0 0 8.830 -5.511 8.063 -5.242 1907 6 17.984 -1.692 0 0 17.984 -1.692 16.958 -1.682 1907 7 19.932 -3.318 1 0 NaN NaN 20.458 -1.756 1907 8 NaN NaN NaN NaN NaN NaN 20.628 -0.714 1907 9 NaN NaN NaN NaN NaN NaN 12.089 -3.007 1907 10 NaN NaN NaN NaN NaN NaN 8.820 0.333 1907 11 NaN NaN NaN NaN NaN NaN 0.649 1.640 1907 12 NaN NaN NaN NaN NaN NaN -5.082 3.265 1908 1 NaN NaN NaN NaN NaN NaN -6.414 6.319 1908 2 NaN NaN NaN NaN NaN NaN -7.397 1.249 1908 3 0.930 2.493 1 0 NaN NaN -3.393 -0.795 1908 4 9.582 2.285 0 0 9.582 2.285 7.983 1.722 1908 5 NaN NaN NaN NaN NaN NaN 11.190 -2.114 1908 6 NaN NaN NaN NaN NaN NaN 16.445 -2.195 1908 7 NaN NaN NaN NaN NaN NaN 21.751 -0.463 1908 8 NaN NaN NaN NaN NaN NaN 19.022 -2.320 1908 9 NaN NaN NaN NaN NaN NaN 17.782 2.686 1908 10 NaN NaN NaN NaN NaN NaN 8.528 0.041 1908 11 NaN NaN NaN NaN NaN NaN 0.542 1.533 1908 12 NaN NaN NaN NaN NaN NaN -8.308 0.039 1909 1 NaN NaN NaN NaN NaN NaN -14.355 -1.622 1909 2 NaN NaN NaN NaN NaN NaN -9.381 -0.735 1909 3 NaN NaN NaN NaN NaN NaN -2.597 0.002 1909 4 NaN NaN NaN NaN NaN NaN 2.735 -3.526