% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42301 % Primary Name: CLEMONS % Record Type: TAVG % Country: United States % State: MT % Latitude: 47.45000 +/- 0.00005 % Longitude: -112.38330 +/- 0.00005 % Elevation (m): 1424.03 +/- 0.15 % # of Months: 21 % % Alternate Names: Missing Station ID - 241810 % % IDs: coop - 241810 % ghcnd - USC00241810 % ncdc - 12003062 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: f28569ef3ba7f62f122d30819b9541d3 % Raw Data Hash: d2063e325c5b6e43209214f66bbbacb3 % Adj Data Hash: a86585f6da4bc08015500932cfda8513 % % 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 1 NaN NaN NaN NaN NaN NaN -6.561 1.102 1898 2 NaN NaN NaN NaN NaN NaN 0.015 3.850 1898 3 NaN NaN NaN NaN NaN NaN -7.160 -5.401 1898 4 NaN NaN NaN NaN NaN NaN 4.254 0.697 1898 5 NaN NaN NaN NaN NaN NaN 8.007 -1.017 1898 6 NaN NaN NaN NaN NaN NaN 12.187 -1.069 1898 7 NaN NaN NaN NaN NaN NaN 16.370 -0.756 1898 8 NaN NaN NaN NaN NaN NaN 17.702 1.389 1898 9 NaN NaN NaN NaN NaN NaN 11.100 -0.274 1898 10 NaN NaN NaN NaN NaN NaN 4.109 -2.128 1898 11 NaN NaN NaN NaN NaN NaN -2.726 -2.014 1898 12 NaN NaN NaN NaN NaN NaN -5.761 -1.128 1899 1 -5.233 1.436 0 0 -5.525 1.144 -7.506 0.158 1899 2 -11.595 -8.754 0 0 -11.887 -9.046 -11.740 -7.905 1899 3 -7.256 -6.491 0 0 -7.549 -6.784 -7.413 -5.654 1899 4 2.790 -1.761 0 0 2.498 -2.053 1.866 -1.691 1899 5 7.127 -2.891 0 0 6.835 -3.183 6.445 -2.579 1899 6 13.427 -0.823 0 0 13.134 -1.115 11.540 -1.715 1899 7 19.738 1.618 1 0 NaN NaN 17.388 0.262 1899 8 NaN NaN NaN NaN NaN NaN 13.499 -2.813 1899 9 NaN NaN NaN NaN NaN NaN 12.447 1.073 1899 10 3.661 -3.570 0 0 3.368 -3.862 4.553 -1.684 1899 11 5.477 5.195 0 0 5.184 4.903 3.501 4.213 1899 12 NaN NaN NaN NaN NaN NaN -4.378 0.256 1900 1 1.069 7.739 0 0 0.777 7.446 -2.449 5.214 1900 2 -6.057 -3.216 1 0 NaN NaN -5.682 -1.847 1900 3 2.805 3.570 0 0 2.513 3.278 0.412 2.171 1900 4 7.502 2.951 0 0 7.209 2.658 5.894 2.337 1900 5 11.529 1.511 0 0 11.237 1.219 10.573 1.549 1900 6 NaN NaN NaN NaN NaN NaN 15.429 2.173 1900 7 NaN NaN NaN NaN NaN NaN 16.751 -0.376 1900 8 NaN NaN NaN NaN NaN NaN 14.513 -1.799 1900 9 NaN NaN NaN NaN NaN NaN 9.808 -1.566 1900 10 NaN NaN NaN NaN NaN NaN 6.969 0.732 1900 11 NaN NaN NaN NaN NaN NaN -2.638 -1.926 1900 12 NaN NaN NaN NaN NaN NaN -0.159 4.475 1901 1 -4.243 2.427 0 1 -3.742 2.927 -6.836 0.827 1901 2 -7.102 -4.261 0 0 -6.601 -3.760 -5.829 -1.995 1901 3 0.818 1.583 0 0 1.319 2.084 -0.561 1.198 1901 4 3.290 -1.261 0 0 3.791 -0.760 2.849 -0.708 1901 5 11.184 1.166 0 0 11.685 1.667 11.173 2.149 1901 6 9.470 -4.780 0 0 9.971 -4.279 8.894 -4.362 1901 7 17.108 -1.012 0 0 17.609 -0.511 17.574 0.448 1901 8 NaN NaN NaN NaN NaN NaN 17.411 1.099 1901 9 NaN NaN NaN NaN NaN NaN 7.554 -3.820 1901 10 NaN NaN NaN NaN NaN NaN 9.376 3.140 1901 11 NaN NaN NaN NaN NaN NaN 2.176 2.888 1901 12 NaN NaN NaN NaN NaN NaN -3.587 1.047 1902 1 NaN NaN NaN NaN NaN NaN -7.107 0.556 1902 2 NaN NaN NaN NaN NaN NaN -2.402 1.432 1902 3 NaN NaN NaN NaN NaN NaN -2.791 -1.032 1902 4 NaN NaN NaN NaN NaN NaN 2.744 -0.813 1902 5 NaN NaN NaN NaN NaN NaN 9.502 0.478 1902 6 NaN NaN NaN NaN NaN NaN 10.503 -2.752 1902 7 NaN NaN NaN NaN NaN NaN 14.650 -2.476