% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33676 % Primary Name: FREMONT EXPERIMENTAL STN % Record Type: TAVG % Country: United States % State: CO % Latitude: 38.85000 +/- 0.00833 % Longitude: -104.95000 +/- 0.00833 % Elevation (m): 2699.00 +/- 0.05 % # of Months: 68 % % Alternate Names: FREMONT EXP STN % % IDs: coop - 53125 % ncdc - 20003577 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: b2dd80a5f353713fa659baa544877c05 % Raw Data Hash: 347e3c8748c8df84e9727ca626e8d016 % Adj Data Hash: 347e3c8748c8df84e9727ca626e8d016 % % 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 1930 1 NaN NaN NaN NaN NaN NaN -10.024 -6.984 1930 2 NaN NaN NaN NaN NaN NaN 3.303 3.837 1930 3 NaN NaN NaN NaN NaN NaN 0.363 -1.757 1930 4 NaN NaN NaN NaN NaN NaN 10.859 3.407 1930 5 NaN NaN NaN NaN NaN NaN 11.209 -1.897 1930 6 NaN NaN NaN NaN NaN NaN 18.724 -0.036 1930 7 NaN NaN NaN NaN NaN NaN 22.064 0.011 1930 8 NaN NaN NaN NaN NaN NaN 20.500 -0.330 1930 9 NaN NaN NaN NaN NaN NaN 15.870 -0.261 1930 10 NaN NaN NaN NaN NaN NaN 9.190 -0.731 1930 11 NaN NaN NaN NaN NaN NaN 1.854 -0.604 1930 12 NaN NaN NaN NaN NaN NaN -3.287 -1.938 1931 1 -3.889 4.183 0 0 -3.889 4.183 -2.148 0.892 1931 2 -3.778 1.789 0 0 -3.778 1.789 1.434 1.968 1931 3 -4.333 -1.421 0 0 -4.333 -1.421 -0.174 -2.294 1931 4 1.278 -1.142 0 0 1.278 -1.142 7.108 -0.344 1931 5 4.778 -3.296 0 0 4.778 -3.296 11.464 -1.642 1931 6 13.556 -0.172 0 0 13.556 -0.172 20.500 1.740 1931 7 15.278 -1.743 0 0 15.278 -1.743 23.033 0.979 1931 8 13.778 -2.020 0 0 13.778 -2.020 20.771 -0.059 1931 9 12.722 1.623 0 0 12.722 1.623 18.753 2.622 1931 10 5.778 0.889 0 0 5.778 0.889 11.488 1.567 1931 11 -1.278 1.296 0 0 -1.278 1.296 1.038 -1.420 1931 12 -2.611 3.770 0 0 -2.611 3.770 -1.222 0.127 1932 1 -7.333 0.739 0 0 -7.333 0.739 -5.016 -1.976 1932 2 -1.222 4.344 0 0 -1.222 4.344 2.410 2.944 1932 3 -4.833 -1.921 0 0 -4.833 -1.921 -1.650 -3.770 1932 4 2.889 0.469 0 0 2.889 0.469 8.600 1.147 1932 5 7.000 -1.074 0 0 7.000 -1.074 13.727 0.621 1932 6 10.333 -3.394 0 0 10.333 -3.394 17.534 -1.226 1932 7 15.556 -1.465 0 0 15.556 -1.465 23.174 1.121 1932 8 14.167 -1.631 0 0 14.167 -1.631 21.632 0.802 1932 9 9.889 -1.210 0 0 9.889 -1.210 15.912 -0.219 1932 10 3.778 -1.111 0 0 3.778 -1.111 8.607 -1.313 1932 11 1.000 3.574 0 0 1.000 3.574 3.998 1.540 1932 12 -7.889 -1.508 0 0 -7.889 -1.508 -6.524 -5.175 1933 1 -3.778 4.295 0 0 -3.778 4.295 -1.039 2.001 1933 2 -7.444 -1.878 0 0 -7.444 -1.878 -3.786 -3.252 1933 3 -0.778 2.135 0 0 -0.778 2.135 3.291 1.171 1933 4 -0.333 -2.753 0 0 -0.333 -2.753 5.805 -1.647 1933 5 4.667 -3.407 0 0 4.667 -3.407 11.598 -1.508 1933 6 13.833 0.106 0 0 13.833 0.106 20.958 2.199 1933 7 15.667 -1.354 0 0 15.667 -1.354 22.936 0.883 1933 8 12.944 -2.853 0 0 12.944 -2.853 20.124 -0.706 1933 9 12.667 1.568 0 0 12.667 1.568 18.283 2.152 1933 10 7.000 2.112 0 0 7.000 2.112 12.041 2.120 1933 11 2.111 4.685 0 0 2.111 4.685 4.868 2.410 1933 12 1.778 8.159 0 0 1.778 8.159 3.278 4.627 1934 1 -2.556 5.517 0 0 -2.556 5.517 1.112 4.152 1934 2 -2.000 3.566 0 0 -2.000 3.566 1.225 1.759 1934 3 0.889 3.801 0 0 0.889 3.801 4.235 2.115 1934 4 3.556 1.135 0 0 3.556 1.135 9.125 1.673 1934 5 10.111 2.038 0 0 10.111 2.038 16.521 3.415 1934 6 13.167 -0.560 0 0 13.167 -0.560 20.265 1.506 1934 7 16.889 -0.132 0 0 16.889 -0.132 24.435 2.382 1934 8 14.889 -0.909 0 0 14.889 -0.909 22.373 1.542 1934 9 9.667 -1.432 0 0 9.667 -1.432 14.700 -1.431 1934 10 7.667 2.778 0 0 7.667 2.778 12.898 2.977 1934 11 0.556 3.130 0 0 0.556 3.130 4.294 1.835 1934 12 -2.556 3.826 0 0 -2.556 3.826 -0.061 1.288 1935 1 -0.889 7.183 0 0 -0.889 7.183 0.976 4.016 1935 2 -2.667 2.900 0 0 -2.667 2.900 1.425 1.959 1935 3 -0.667 2.246 0 0 -0.667 2.246 4.118 1.998 1935 4 1.222 -1.198 0 0 1.222 -1.198 6.703 -0.749 1935 5 3.278 -4.796 0 0 3.278 -4.796 9.222 -3.884 1935 6 11.333 -2.394 0 0 11.333 -2.394 18.090 -0.669 1935 7 15.111 -1.910 0 0 15.111 -1.910 23.179 1.126 1935 8 14.667 -1.131 0 0 14.667 -1.131 21.876 1.046 1935 9 10.000 -1.099 0 0 10.000 -1.099 15.837 -0.295 1935 10 4.778 -0.111 0 0 4.778 -0.111 10.019 0.098 1935 11 -0.778 1.796 0 0 -0.778 1.796 1.389 -1.069 1935 12 -3.722 2.659 0 0 -3.722 2.659 -0.825 0.524 1936 1 -5.222 2.850 0 0 -5.222 2.850 -2.862 0.178 1936 2 -4.111 1.455 0 0 -4.111 1.455 -4.608 -4.074 1936 3 -1.333 1.579 0 0 -1.333 1.579 3.118 0.998 1936 4 2.778 0.358 0 0 2.778 0.358 8.357 0.905 1936 5 7.556 -0.518 0 0 7.556 -0.518 14.461 1.355 1936 6 13.278 -0.449 0 0 13.278 -0.449 20.529 1.769 1936 7 15.944 -1.077 0 0 15.944 -1.077 23.834 1.780 1936 8 14.556 -1.242 0 0 14.556 -1.242 21.763 0.933 1936 9 NaN NaN NaN NaN NaN NaN 16.197 0.065 1936 10 NaN NaN NaN NaN NaN NaN 8.742 -1.179 1936 11 NaN NaN NaN NaN NaN NaN 2.940 0.482 1936 12 NaN NaN NaN NaN NaN NaN 0.011 1.359 1937 1 NaN NaN NaN NaN NaN NaN -9.107 -6.067 1937 2 NaN NaN NaN NaN NaN NaN -1.111 -0.577 1937 3 NaN NaN NaN NaN NaN NaN 0.594 -1.526 1937 4 NaN NaN NaN NaN NaN NaN 7.514 0.061 1937 5 NaN NaN NaN NaN NaN NaN 13.830 0.724 1937 6 NaN NaN NaN NaN NaN NaN 17.815 -0.944 1937 7 NaN NaN NaN NaN NaN NaN 23.085 1.032 1937 8 NaN NaN NaN NaN NaN NaN 23.330 2.500