% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42326 % Primary Name: SUFFOLK % Record Type: TAVG % Country: United States % State: MT % Latitude: 47.48330 +/- 0.00005 % Longitude: -109.43330 +/- 0.00005 % Elevation (m): 1030.22 +/- 0.15 % # of Months: 42 % % Alternate Names: Missing Station ID - 247943 % % IDs: coop - 247943 % ghcnd - USC00247943 % ncdc - 12003193 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 5fa6abe8682874584fec5a53f967f51d % Raw Data Hash: 08a2d2c802136b05658763518baca11b % Adj Data Hash: 2d411e97decdb4f45bbb3433476c19bc % % 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 1915 2 NaN NaN NaN NaN NaN NaN -0.732 3.063 1915 3 NaN NaN NaN NaN NaN NaN -1.276 -0.031 1915 4 NaN NaN NaN NaN NaN NaN 10.008 5.289 1915 5 NaN NaN NaN NaN NaN NaN 9.722 -0.744 1915 6 NaN NaN NaN NaN NaN NaN 11.326 -3.530 1915 7 NaN NaN NaN NaN NaN NaN 15.189 -3.757 1915 8 NaN NaN NaN NaN NaN NaN 19.412 1.197 1915 9 NaN NaN NaN NaN NaN NaN 9.543 -3.241 1915 10 NaN NaN NaN NaN NaN NaN 10.205 2.831 1915 11 NaN NaN NaN NaN NaN NaN -0.438 -0.412 1915 12 NaN NaN NaN NaN NaN NaN -3.324 1.029 1916 1 NaN NaN NaN NaN NaN NaN -20.631 -12.912 1916 2 0.174 2.566 1 0 NaN NaN -4.614 -0.818 1916 3 3.173 3.015 0 0 3.173 3.015 1.331 2.576 1916 4 6.846 0.725 0 0 6.846 0.725 5.012 0.294 1916 5 NaN NaN NaN NaN NaN NaN 7.732 -2.733 1916 6 NaN NaN NaN NaN NaN NaN 12.387 -2.468 1916 7 19.618 -0.730 0 0 19.618 -0.730 18.653 -0.292 1916 8 18.619 -0.998 0 0 18.619 -0.998 17.093 -1.121 1916 9 13.067 -1.121 0 0 13.067 -1.121 11.622 -1.162 1916 10 5.023 -3.755 0 0 5.023 -3.755 4.862 -2.512 1916 11 0.435 -0.942 0 0 0.435 -0.942 -0.906 -0.880 1916 12 -10.789 -7.839 0 0 -10.789 -7.839 -11.019 -6.666 1917 1 -8.292 -1.976 0 0 -8.292 -1.976 -9.934 -2.215 1917 2 -10.525 -8.132 1 0 NaN NaN -8.576 -4.780 1917 3 -4.382 -4.540 0 0 -4.382 -4.540 -6.670 -5.425 1917 4 3.693 -2.428 0 0 3.693 -2.428 2.164 -2.555 1917 5 10.152 -1.717 0 0 10.152 -1.717 8.633 -1.833 1917 6 14.410 -1.848 0 0 14.410 -1.848 12.513 -2.342 1917 7 22.882 2.534 0 0 22.882 2.534 21.198 2.253 1917 8 18.939 -0.679 0 0 18.939 -0.679 17.554 -0.661 1917 9 13.953 -0.234 0 0 13.953 -0.234 12.823 0.039 1917 10 6.261 -2.516 0 0 6.261 -2.516 6.244 -1.131 1917 11 7.077 5.700 0 0 7.077 5.700 5.612 5.638 1917 12 -8.496 -5.546 0 0 -8.496 -5.546 -8.494 -4.142 1918 1 -8.437 -2.121 0 0 -8.437 -2.121 -10.167 -2.448 1918 2 NaN NaN NaN NaN NaN NaN -5.433 -1.638 1918 3 4.052 3.894 0 0 4.052 3.894 1.677 2.922 1918 4 5.178 -0.943 0 0 5.178 -0.943 3.424 -1.295 1918 5 10.377 -1.492 0 0 10.377 -1.492 8.618 -1.848 1918 6 19.898 3.640 0 0 19.898 3.640 17.361 2.505 1918 7 19.534 -0.814 0 0 19.534 -0.814 18.007 -0.938 1918 8 18.155 -1.463 0 0 18.155 -1.463 16.636 -1.579 1918 9 12.946 -1.241 0 0 12.946 -1.241 11.585 -1.199 1918 10 9.508 0.731 0 0 9.508 0.731 9.668 2.293 1918 11 -0.037 -1.414 0 0 -0.037 -1.414 -0.891 -0.865 1918 12 -0.926 2.024 0 0 -0.926 2.024 -1.631 2.722 1919 1 1.627 7.943 0 0 1.627 7.943 -0.395 7.324 1919 2 NaN NaN NaN NaN NaN NaN -6.771 -2.975 1919 3 NaN NaN NaN NaN NaN NaN -4.855 -3.610 1919 4 7.995 1.874 0 0 7.995 1.874 6.498 1.779 1919 5 13.161 1.292 0 0 13.161 1.292 11.632 1.166 1919 6 NaN NaN NaN NaN NaN NaN 17.470 2.615 1919 7 NaN NaN NaN NaN NaN NaN 20.727 1.782 1919 8 NaN NaN NaN NaN NaN NaN 19.629 1.414 1919 9 NaN NaN NaN NaN NaN NaN 12.226 -0.559 1919 10 NaN NaN NaN NaN NaN NaN 1.651 -5.724 1919 11 -4.803 -6.180 1 0 NaN NaN -4.460 -4.434 1919 12 NaN NaN NaN NaN NaN NaN -7.341 -2.988 1920 1 -5.696 0.620 0 0 -5.696 0.620 -6.711 1.008 1920 2 -3.690 -1.297 1 0 NaN NaN -2.805 0.991 1920 3 -1.171 -1.328 0 0 -1.171 -1.328 -3.161 -1.916 1920 4 1.685 -4.436 0 0 1.685 -4.436 0.107 -4.612 1920 5 NaN NaN NaN NaN NaN NaN 9.221 -1.245 1920 6 NaN NaN NaN NaN NaN NaN 13.208 -1.648 1920 7 NaN NaN NaN NaN NaN NaN 19.733 0.788 1920 8 NaN NaN NaN NaN NaN NaN 18.478 0.263 1920 9 NaN NaN NaN NaN NaN NaN 12.990 0.206 1920 10 NaN NaN NaN NaN NaN NaN 7.642 0.267 1920 11 NaN NaN NaN NaN NaN NaN -0.535 -0.509 1920 12 -3.488 -0.538 1 0 NaN NaN -3.386 0.967 1921 1 -1.000 5.316 0 0 -1.000 5.316 -3.416 4.302 1921 2 NaN NaN NaN NaN NaN NaN 0.314 4.109 1921 3 NaN NaN NaN NaN NaN NaN -1.443 -0.198 1921 4 NaN NaN NaN NaN NaN NaN 3.986 -0.732 1921 5 NaN NaN NaN NaN NaN NaN 10.040 -0.426 1921 6 NaN NaN NaN NaN NaN NaN 16.184 1.329 1921 7 NaN NaN NaN NaN NaN NaN 18.833 -0.113 1921 8 NaN NaN NaN NaN NaN NaN 18.791 0.576 1921 9 NaN NaN NaN NaN NaN NaN 9.285 -3.500 1921 10 NaN NaN NaN NaN NaN NaN 10.503 3.128 1921 11 NaN NaN NaN NaN NaN NaN -2.138 -2.112 1921 12 NaN NaN NaN NaN NaN NaN -5.588 -1.235 1922 1 NaN NaN NaN NaN NaN NaN -9.994 -2.275