% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41834 % Primary Name: SAHARA % Record Type: TAVG % Country: United States % State: MT % Latitude: 46.63330 +/- 0.00005 % Longitude: -109.16670 +/- 0.00005 % Elevation (m): 1476.15 +/- 0.15 % # of Months: 110 % % Alternate Names: Missing Station ID - 247273 % % IDs: coop - 247273 % ghcnd - USC00247273 % ncdc - 20012440 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: fefa07e7c5d5ebca8f0694db32041017 % Raw Data Hash: 9691219c1051f15585f29282747cd8df % Adj Data Hash: aaed01d31634d029ca6ed414c1bca4b3 % % 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 1929 11 NaN NaN NaN NaN NaN NaN -2.859 -2.693 1929 12 NaN NaN NaN NaN NaN NaN -3.590 0.118 1930 1 NaN NaN NaN NaN NaN NaN -15.146 -8.839 1930 2 NaN NaN NaN NaN NaN NaN 1.730 4.738 1930 3 NaN NaN NaN NaN NaN NaN -3.040 -1.885 1930 4 NaN NaN NaN NaN NaN NaN 8.230 4.194 1930 5 NaN NaN NaN NaN NaN NaN 9.473 -0.134 1930 6 NaN NaN NaN NaN NaN NaN 13.838 -0.261 1930 7 NaN NaN NaN NaN NaN NaN 19.503 1.220 1930 8 NaN NaN NaN NaN NaN NaN 18.812 1.386 1930 9 NaN NaN NaN NaN NaN NaN 12.007 -0.138 1930 10 NaN NaN NaN NaN NaN NaN 4.448 -2.481 1930 11 3.295 2.645 1 0 NaN NaN 0.153 0.319 1930 12 1.070 3.962 0 0 1.070 3.962 -1.352 2.356 1931 1 0.056 5.546 0 0 0.056 5.546 -2.005 4.301 1931 2 0.333 2.525 0 0 0.333 2.525 0.886 3.894 1931 3 -0.444 -0.106 0 0 -0.444 -0.106 -1.342 -0.187 1931 4 6.000 1.148 0 0 6.000 1.148 4.634 0.599 1931 5 10.778 0.354 0 0 10.778 0.354 10.121 0.514 1931 6 18.222 3.306 0 0 18.222 3.306 16.041 1.941 1931 7 20.889 1.789 0 0 20.889 1.789 19.642 1.359 1931 8 20.056 1.813 0 0 20.056 1.813 18.515 1.089 1931 9 14.444 1.483 0 0 14.444 1.483 12.622 0.477 1931 10 8.778 1.032 0 0 8.778 1.032 8.102 1.172 1931 11 -1.333 -1.983 0 0 -1.333 -1.983 -1.805 -1.639 1931 12 0.111 3.003 0 0 0.111 3.003 -2.803 0.905 1932 1 -6.000 -0.510 0 0 -6.000 -0.510 -8.135 -1.829 1932 2 -2.556 -0.364 0 0 -2.556 -0.364 -2.034 0.974 1932 3 NaN NaN NaN NaN NaN NaN -6.166 -5.011 1932 4 6.111 1.260 0 0 6.111 1.260 4.741 0.706 1932 5 11.667 1.243 0 0 11.667 1.243 10.358 0.751 1932 6 15.167 0.251 0 0 15.167 0.251 13.749 -0.351 1932 7 20.667 1.567 0 0 20.667 1.567 18.800 0.517 1932 8 20.333 2.091 0 0 20.333 2.091 17.795 0.369 1932 9 13.333 0.372 0 0 13.333 0.372 11.997 -0.148 1932 10 4.889 -2.857 0 0 4.889 -2.857 5.314 -1.616 1932 11 1.000 0.350 0 0 1.000 0.350 1.706 1.873 1932 12 -6.444 -3.553 0 0 -6.444 -3.553 -8.125 -4.417 1933 1 -3.722 1.768 0 0 -3.722 1.768 -5.554 0.752 1933 2 -7.889 -5.697 0 0 -7.889 -5.697 -7.565 -4.557 1933 3 1.889 2.228 0 0 1.889 2.228 0.509 1.665 1933 4 2.111 -2.740 0 0 2.111 -2.740 2.598 -1.437 1933 5 8.667 -1.757 0 0 8.667 -1.757 8.301 -1.306 1933 6 19.556 4.639 0 0 19.556 4.639 16.984 2.884 1933 7 22.778 3.678 0 0 22.778 3.678 20.885 2.602 1933 8 17.333 -0.909 0 0 17.333 -0.909 16.933 -0.493 1933 9 12.222 -0.739 0 0 12.222 -0.739 12.035 -0.109 1933 10 NaN NaN NaN NaN NaN NaN 9.114 2.185 1933 11 NaN NaN NaN NaN NaN NaN 2.470 2.637 1933 12 -1.000 1.892 0 0 -1.000 1.892 -1.687 2.021 1934 1 0.889 6.379 0 0 0.889 6.379 -0.770 5.536 1934 2 0.444 2.636 0 0 0.444 2.636 0.889 3.897 1934 3 1.000 1.339 0 0 1.000 1.339 0.863 2.018 1934 4 8.833 3.982 0 0 8.833 3.982 7.174 3.139 1934 5 16.500 6.076 0 0 16.500 6.076 14.115 4.508 1934 6 16.278 1.362 0 0 16.278 1.362 13.822 -0.278 1934 7 23.889 4.789 0 0 23.889 4.789 19.707 1.423 1934 8 NaN NaN NaN NaN NaN NaN 17.994 0.568 1934 9 9.778 -3.183 0 0 9.778 -3.183 9.512 -2.633 1934 10 11.167 3.421 0 0 11.167 3.421 10.317 3.387 1934 11 5.111 4.461 0 0 5.111 4.461 2.967 3.134 1934 12 -1.444 1.447 0 0 -1.444 1.447 -2.733 0.975 1935 1 -6.667 -1.177 0 0 -6.667 -1.177 -5.976 0.331 1935 2 1.111 3.303 0 0 1.111 3.303 0.901 3.909 1935 3 -3.111 -2.772 0 0 -3.111 -2.772 -3.096 -1.941 1935 4 3.778 -1.074 0 0 3.778 -1.074 1.279 -2.756 1935 5 NaN NaN NaN NaN NaN NaN 7.447 -2.161 1935 6 14.944 0.028 0 0 14.944 0.028 13.061 -1.038 1935 7 21.222 2.122 0 0 21.222 2.122 19.769 1.486 1935 8 NaN NaN NaN NaN NaN NaN 17.519 0.093 1935 9 16.778 3.817 0 0 16.778 3.817 13.189 1.045 1935 10 6.833 -0.913 0 0 6.833 -0.913 6.918 -0.012 1935 11 -1.222 -1.872 0 0 -1.222 -1.872 -2.601 -2.434 1935 12 -0.500 2.392 0 0 -0.500 2.392 -1.591 2.117 1936 1 -5.556 -0.065 0 0 -5.556 -0.065 -6.677 -0.371 1936 2 -16.500 -14.308 0 0 -16.500 -14.308 -13.596 -10.588 1936 3 -2.333 -1.994 0 0 -2.333 -1.994 -1.756 -0.601 1936 4 3.222 -1.629 0 0 3.222 -1.629 3.498 -0.537 1936 5 13.444 3.021 0 0 13.444 3.021 13.483 3.876 1936 6 16.111 1.195 0 0 16.111 1.195 15.793 1.693 1936 7 22.389 3.289 0 0 22.389 3.289 22.387 4.104 1936 8 18.000 -0.242 0 0 18.000 -0.242 18.376 0.949 1936 9 11.889 -1.072 0 0 11.889 -1.072 12.306 0.161 1936 10 6.778 -0.968 0 0 6.778 -0.968 7.917 0.987 1936 11 1.111 0.461 0 0 1.111 0.461 0.075 0.241 1936 12 -4.167 -1.275 0 0 -4.167 -1.275 -3.655 0.053 1937 1 -15.444 -9.954 0 0 -15.444 -9.954 -16.391 -10.084 1937 2 -7.556 -5.364 0 0 -7.556 -5.364 -5.553 -2.545 1937 3 -3.000 -2.661 0 0 -3.000 -2.661 -2.422 -1.267 1937 4 3.611 -1.240 0 0 3.611 -1.240 4.154 0.119 1937 5 10.556 0.132 0 0 10.556 0.132 11.349 1.742 1937 6 14.000 -0.916 0 0 14.000 -0.916 13.205 -0.895 1937 7 19.833 0.734 0 0 19.833 0.734 19.352 1.068 1937 8 18.111 -0.131 0 0 18.111 -0.131 18.228 0.802 1937 9 14.222 1.261 0 0 14.222 1.261 13.400 1.255 1937 10 8.556 0.809 0 0 8.556 0.809 9.429 2.499 1937 11 -0.167 -0.817 0 0 -0.167 -0.817 -0.394 -0.228 1937 12 -3.556 -0.664 0 0 -3.556 -0.664 -3.731 -0.023 1938 1 -3.833 1.657 0 0 -3.833 1.657 -3.488 2.819 1938 2 -5.222 -3.030 0 0 -5.222 -3.030 -3.160 -0.152 1938 3 -0.725 -0.386 1 0 NaN NaN -0.635 0.520 1938 4 4.611 -0.240 0 0 4.611 -0.240 4.532 0.497 1938 5 6.793 -3.631 1 0 NaN NaN 8.531 -1.076 1938 6 17.450 2.534 1 0 NaN NaN 14.326 0.226 1938 7 18.667 -0.433 0 0 18.667 -0.433 17.954 -0.330 1938 8 19.000 0.758 0 0 19.000 0.758 17.311 -0.115 1938 9 17.889 4.928 0 0 17.889 4.928 15.418 3.274 1938 10 9.944 2.198 0 0 9.944 2.198 8.388 1.458 1938 11 -0.667 -1.317 0 0 -0.667 -1.317 -2.160 -1.994 1938 12 -1.778 1.114 0 0 -1.778 1.114 -2.205 1.503 1939 1 -0.444 5.046 0 0 -0.444 5.046 -2.207 4.099 1939 2 -8.611 -6.419 0 0 -8.611 -6.419 -7.411 -4.403 1939 3 0.444 0.783 0 0 0.444 0.783 -0.397 0.759 1939 4 6.722 1.871 0 0 6.722 1.871 6.007 1.972 1939 5 14.667 4.243 0 0 14.667 4.243 11.951 2.343 1939 6 13.556 -1.361 0 0 13.556 -1.361 11.556 -2.543 1939 7 21.111 2.011 0 0 21.111 2.011 19.604 1.321 1939 8 20.000 1.758 0 0 20.000 1.758 17.599 0.173 1939 9 14.444 1.483 0 0 14.444 1.483 12.760 0.615 1939 10 8.000 0.254 0 0 8.000 0.254 8.151 1.221 1939 11 5.778 5.128 0 0 5.778 5.128 3.680 3.846 1939 12 1.778 4.670 0 0 1.778 4.670 1.457 5.165 1940 1 -7.500 -2.010 0 0 -7.500 -2.010 -9.501 -3.194 1940 2 -3.389 -1.197 0 0 -3.389 -1.197 -2.015 0.993 1940 3 1.611 1.950 0 0 1.611 1.950 1.245 2.401 1940 4 4.611 -0.240 0 0 4.611 -0.240 3.579 -0.456 1940 5 12.444 2.021 0 0 12.444 2.021 11.897 2.290 1940 6 17.667 2.751 0 0 17.667 2.751 15.305 1.205 1940 7 NaN NaN NaN NaN NaN NaN 19.742 1.459 1940 8 NaN NaN NaN NaN NaN NaN 18.957 1.531 1940 9 NaN NaN NaN NaN NaN NaN 14.638 2.493 1940 10 NaN NaN NaN NaN NaN NaN 10.068 3.138 1940 11 NaN NaN NaN NaN NaN NaN -3.504 -3.338 1940 12 NaN NaN NaN NaN NaN NaN -1.203 2.505 1941 1 NaN NaN NaN NaN NaN NaN -3.199 3.108 1941 2 NaN NaN NaN NaN NaN NaN -0.948 2.060 1941 3 NaN NaN NaN NaN NaN NaN -0.415 0.741 1941 4 NaN NaN NaN NaN NaN NaN 4.188 0.153 1941 5 NaN NaN NaN NaN NaN NaN 11.535 1.928 1941 6 NaN NaN NaN NaN NaN NaN 13.728 -0.372