% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40663 % Primary Name: GRANT 5 SE % Record Type: TAVG % Country: United States % State: MT % Latitude: 44.94110 +/- 0.00005 % Longitude: -113.02830 +/- 0.00005 % Elevation (m): 1761.70 +/- 0.05 % # of Months: 34 % % Alternate Names: GRANT 4 ESE % % IDs: coop - 243707 % ghcnd - USC00243707 % ncdc - 20012912 % nws - GRNM8 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 630526e912ce48de2f33a02d89451e41 % Raw Data Hash: be116bcf59e8d0998f4f80a1aef48eba % Adj Data Hash: 8f1bb664920ec624a9ad07cf00746ed7 % % 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 1927 10 NaN NaN NaN NaN NaN NaN 5.565 1.414 1927 11 NaN NaN NaN NaN NaN NaN -0.676 2.620 1927 12 NaN NaN NaN NaN NaN NaN -11.783 -3.124 1928 1 NaN NaN NaN NaN NaN NaN -8.602 1.505 1928 2 NaN NaN NaN NaN NaN NaN -7.544 -0.670 1928 3 NaN NaN NaN NaN NaN NaN -2.908 0.744 1928 4 NaN NaN NaN NaN NaN NaN 0.447 -1.504 1928 5 NaN NaN NaN NaN NaN NaN 9.976 2.683 1928 6 NaN NaN NaN NaN NaN NaN 9.012 -2.643 1928 7 NaN NaN NaN NaN NaN NaN 16.269 0.252 1928 8 NaN NaN NaN NaN NaN NaN 13.565 -1.262 1928 9 NaN NaN NaN NaN NaN NaN 10.357 0.223 1928 10 4.965 -0.248 0 0 4.965 -0.248 4.520 0.369 1928 11 -2.758 -0.526 0 0 -2.758 -0.526 -3.050 0.245 1928 12 -9.380 -1.783 0 0 -9.380 -1.783 -11.184 -2.525 1929 1 -12.987 -3.943 0 0 -12.987 -3.943 -14.247 -4.141 1929 2 -10.445 -4.634 0 0 -10.445 -4.634 -11.472 -4.599 1929 3 -1.647 0.943 0 0 -1.647 0.943 -4.011 -0.359 1929 4 1.970 -1.044 0 0 1.970 -1.044 -0.123 -2.074 1929 5 6.482 -1.874 0 0 6.482 -1.874 6.718 -0.575 1929 6 11.715 -1.002 0 0 11.715 -1.002 10.242 -1.412 1929 7 14.977 -2.103 0 0 14.977 -2.103 16.877 0.860 1929 8 16.963 1.074 0 0 16.963 1.074 16.630 1.804 1929 9 7.650 -3.547 1 0 NaN NaN 7.746 -2.388 1929 10 6.181 0.967 0 0 6.181 0.967 5.366 1.216 1929 11 -4.020 -1.787 0 0 -4.020 -1.787 -4.525 -1.229 1929 12 -3.274 4.323 0 0 -3.274 4.323 -5.012 3.648 1930 1 -17.637 -8.593 1 0 NaN NaN -15.393 -5.287 1930 2 NaN NaN NaN NaN NaN NaN -2.824 4.050 1930 3 -1.552 1.038 0 0 -1.552 1.038 -2.916 0.736 1930 4 7.298 4.285 0 0 7.298 4.285 5.270 3.319 1930 5 8.542 0.186 0 0 8.542 0.186 7.082 -0.211 1930 6 11.813 -0.904 0 0 11.813 -0.904 10.664 -0.990 1930 7 16.931 -0.149 0 0 16.931 -0.149 17.331 1.314 1930 8 16.931 1.042 0 0 16.931 1.042 15.496 0.670 1930 9 11.810 0.613 0 0 11.810 0.613 9.842 -0.291 1930 10 3.916 -1.297 0 0 3.916 -1.297 3.452 -0.698 1930 11 -4.183 -1.951 0 0 -4.183 -1.951 -5.726 -2.431 1930 12 -10.026 -2.429 0 0 -10.026 -2.429 -12.621 -3.961 1931 1 -7.740 1.303 0 0 -7.740 1.303 -10.015 0.091 1931 2 -6.361 -0.550 0 0 -6.361 -0.550 -6.888 -0.014 1931 3 -0.690 1.899 0 0 -0.690 1.899 -4.201 -0.549 1931 4 4.013 1.000 0 0 4.013 1.000 2.187 0.236 1931 5 9.268 0.912 0 0 9.268 0.912 8.325 1.033 1931 6 13.785 1.068 0 0 13.785 1.068 12.827 1.173 1931 7 17.318 0.238 0 0 17.318 0.238 17.834 1.817 1931 8 14.348 -1.541 0 0 14.348 -1.541 15.481 0.655 1931 9 NaN NaN NaN NaN NaN NaN 9.612 -0.522 1931 10 NaN NaN NaN NaN NaN NaN 4.958 0.808 1931 11 NaN NaN NaN NaN NaN NaN -6.232 -2.937 1931 12 NaN NaN NaN NaN NaN NaN -11.338 -2.678 1932 1 NaN NaN NaN NaN NaN NaN -13.471 -3.365 1932 2 NaN NaN NaN NaN NaN NaN -8.999 -2.125 1932 3 NaN NaN NaN NaN NaN NaN -5.527 -1.875 1932 4 NaN NaN NaN NaN NaN NaN 1.729 -0.222 1932 5 NaN NaN NaN NaN NaN NaN 7.218 -0.074 1932 6 NaN NaN NaN NaN NaN NaN 11.083 -0.572 1932 7 NaN NaN NaN NaN NaN NaN 15.472 -0.545 1932 8 NaN NaN NaN NaN NaN NaN 13.924 -0.902