% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40731 % Primary Name: GALLATIN % Record Type: TAVG % Country: United States % State: MT % Latitude: 45.01667 +/- 0.00833 % Longitude: -111.08333 +/- 0.00833 % Elevation (m): 2104.95 +/- 0.15 % # of Months: 104 % % Alternate Names: Missing Station ID - 243362 % % IDs: coop - 243362 % ncdc - 20012168 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: e480264166df1db254edb2ddbe125108 % Raw Data Hash: a6a2b156037b8b477a986c797c362a29 % Adj Data Hash: 632607fb26044494e82cf9d037c31913 % % 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 -15.748 -5.878 1930 2 NaN NaN NaN NaN NaN NaN -2.831 4.148 1930 3 NaN NaN NaN NaN NaN NaN -4.043 -0.221 1930 4 NaN NaN NaN NaN NaN NaN 5.952 3.644 1930 5 NaN NaN NaN NaN NaN NaN 7.962 -0.213 1930 6 NaN NaN NaN NaN NaN NaN 11.235 -1.288 1930 7 NaN NaN NaN NaN NaN NaN 18.146 1.257 1930 8 NaN NaN NaN NaN NaN NaN 16.556 0.801 1930 9 NaN NaN NaN NaN NaN NaN 10.422 -0.395 1930 10 NaN NaN NaN NaN NaN NaN 4.019 -0.658 1930 11 NaN NaN NaN NaN NaN NaN -5.215 -2.162 1930 12 NaN NaN NaN NaN NaN NaN -11.929 -3.615 1931 1 -8.556 3.519 0 0 -8.556 3.519 -9.252 0.618 1931 2 -8.278 0.906 0 0 -8.278 0.906 -6.657 0.322 1931 3 -5.444 0.582 0 0 -5.444 0.582 -4.909 -1.088 1931 4 0.833 0.730 0 0 0.833 0.730 2.889 0.581 1931 5 6.222 0.251 0 0 6.222 0.251 8.650 0.474 1931 6 11.889 1.571 0 0 11.889 1.571 14.061 1.538 1931 7 14.111 -0.574 0 0 14.111 -0.574 18.655 1.765 1931 8 13.222 -0.329 0 0 13.222 -0.329 16.384 0.628 1931 9 7.944 -0.668 0 0 7.944 -0.668 10.521 -0.296 1931 10 1.833 -0.640 0 0 1.833 -0.640 5.616 0.939 1931 11 -6.111 -0.854 0 0 -6.111 -0.854 -5.265 -2.212 1931 12 NaN NaN NaN NaN NaN NaN -10.037 -1.722 1932 1 NaN NaN NaN NaN NaN NaN -13.248 -3.378 1932 2 NaN NaN NaN NaN NaN NaN -8.537 -1.558 1932 3 -7.778 -1.752 0 0 -7.778 -1.752 -6.833 -3.011 1932 4 0.056 -0.048 0 0 0.056 -0.048 2.180 -0.128 1932 5 6.444 0.473 0 0 6.444 0.473 8.593 0.418 1932 6 10.222 -0.096 0 0 10.222 -0.096 11.913 -0.609 1932 7 13.056 -1.630 0 0 13.056 -1.630 16.708 -0.182 1932 8 12.889 -0.663 0 0 12.889 -0.663 15.223 -0.533 1932 9 8.000 -0.612 0 0 8.000 -0.612 10.577 -0.240 1932 10 -0.056 -2.529 0 0 -0.056 -2.529 3.365 -1.312 1932 11 -2.889 2.368 0 0 -2.889 2.368 -1.364 1.688 1932 12 -14.333 -3.814 0 0 -14.333 -3.814 -13.372 -5.057 1933 1 -9.778 2.297 0 0 -9.778 2.297 -9.152 0.718 1933 2 -13.944 -4.761 0 0 -13.944 -4.761 -13.578 -6.599 1933 3 -5.000 1.026 0 0 -5.000 1.026 -5.266 -1.444 1933 4 -0.778 -0.881 0 0 -0.778 -0.881 1.134 -1.174 1933 5 4.222 -1.749 0 0 4.222 -1.749 6.009 -2.167 1933 6 12.222 1.904 0 0 12.222 1.904 14.425 1.902 1933 7 14.889 0.204 0 0 14.889 0.204 18.797 1.907 1933 8 12.111 -1.440 0 0 12.111 -1.440 15.144 -0.611 1933 9 7.889 -0.723 0 0 7.889 -0.723 10.223 -0.594 1933 10 4.667 2.194 0 0 4.667 2.194 7.666 2.988 1933 11 -2.667 2.590 0 0 -2.667 2.590 -1.171 1.881 1933 12 -4.333 6.186 0 0 -4.333 6.186 -3.605 4.710 1934 1 -6.278 5.797 0 0 -6.278 5.797 -5.576 4.294 1934 2 -4.333 4.850 0 0 -4.333 4.850 -1.238 5.741 1934 3 -0.556 5.471 0 0 -0.556 5.471 1.470 5.292 1934 4 4.556 4.452 0 0 4.556 4.452 7.039 4.731 1934 5 9.778 3.807 0 0 9.778 3.807 12.122 3.946 1934 6 10.000 -0.318 0 0 10.000 -0.318 11.701 -0.821 1934 7 14.278 -0.407 0 0 14.278 -0.407 18.519 1.630 1934 8 13.556 0.004 0 0 13.556 0.004 17.187 1.431 1934 9 6.389 -2.223 0 0 6.389 -2.223 8.839 -1.978 1934 10 5.444 2.971 0 0 5.444 2.971 7.503 2.826 1934 11 -1.278 3.979 0 0 -1.278 3.979 0.097 3.149 1934 12 -7.222 3.297 0 0 -7.222 3.297 -7.538 0.777 1935 1 -8.278 3.797 0 0 -8.278 3.797 -8.225 1.645 1935 2 -7.556 1.628 0 0 -7.556 1.628 -6.457 0.521 1935 3 -5.778 0.248 0 0 -5.778 0.248 -5.030 -1.208 1935 4 -0.667 -0.770 0 0 -0.667 -0.770 1.313 -0.994 1935 5 4.667 -1.304 0 0 4.667 -1.304 6.571 -1.604 1935 6 9.333 -0.985 0 0 9.333 -0.985 11.839 -0.684 1935 7 13.833 -0.852 0 0 13.833 -0.852 17.581 0.691 1935 8 12.889 -0.663 0 0 12.889 -0.663 15.761 0.005 1935 9 9.278 0.666 0 0 9.278 0.666 11.871 1.054 1935 10 2.000 -0.473 0 0 2.000 -0.473 4.782 0.105 1935 11 -7.389 -2.132 0 0 -7.389 -2.132 -6.195 -3.143 1935 12 -10.222 0.297 0 0 -10.222 0.297 -8.804 -0.489 1936 1 -10.667 1.408 0 0 -10.667 1.408 -10.586 -0.715 1936 2 -11.667 -2.483 0 0 -11.667 -2.483 -9.850 -2.871 1936 3 -6.778 -0.752 0 0 -6.778 -0.752 -6.019 -2.198 1936 4 0.778 0.674 0 0 0.778 0.674 3.025 0.717 1936 5 NaN NaN NaN NaN NaN NaN 10.756 2.581 1936 6 11.778 1.460 0 0 11.778 1.460 13.597 1.074 1936 7 16.556 1.870 0 0 16.556 1.870 19.438 2.549 1936 8 13.833 0.282 0 0 13.833 0.282 16.235 0.479 1936 9 8.000 -0.612 0 0 8.000 -0.612 9.947 -0.869 1936 10 2.333 -0.140 0 0 2.333 -0.140 5.608 0.931 1936 11 -6.556 -1.299 0 0 -6.556 -1.299 -3.678 -0.625 1936 12 -8.778 1.741 0 0 -8.778 1.741 -7.309 1.006 1937 1 -19.111 -7.037 1 0 NaN NaN -17.877 -8.007 1937 2 -10.333 -1.150 0 0 -10.333 -1.150 -9.037 -2.058 1937 3 -5.444 0.582 0 0 -5.444 0.582 -4.970 -1.148 1937 4 NaN NaN NaN NaN NaN NaN 0.873 -1.435 1937 5 6.333 0.362 0 0 6.333 0.362 9.635 1.460 1937 6 9.389 -0.929 0 0 9.389 -0.929 11.390 -1.133 1937 7 14.056 -0.630 0 0 14.056 -0.630 17.977 1.088 1937 8 13.333 -0.218 0 0 13.333 -0.218 16.079 0.323 1937 9 9.778 1.166 0 0 9.778 1.166 12.070 1.254 1937 10 4.000 1.527 0 0 4.000 1.527 6.928 2.251 1937 11 -2.889 2.368 0 0 -2.889 2.368 -1.634 1.419 1937 12 NaN NaN NaN NaN NaN NaN -6.653 1.661 1938 1 NaN NaN NaN NaN NaN NaN -8.328 1.542 1938 2 NaN NaN NaN NaN NaN NaN -5.347 1.632 1938 3 NaN NaN NaN NaN NaN NaN -3.964 -0.142 1938 4 NaN NaN NaN NaN NaN NaN 2.688 0.380 1938 5 NaN NaN NaN NaN NaN NaN 7.220 -0.955 1938 6 10.278 -0.040 0 0 10.278 -0.040 12.659 0.137 1938 7 13.000 -1.685 0 0 13.000 -1.685 16.385 -0.504 1938 8 11.778 -1.774 0 0 11.778 -1.774 15.335 -0.420 1938 9 10.389 1.777 0 0 10.389 1.777 13.419 2.602 1938 10 3.167 0.694 0 0 3.167 0.694 6.264 1.586 1938 11 -9.000 -3.743 0 0 -9.000 -3.743 -6.733 -3.681 1938 12 NaN NaN NaN NaN NaN NaN -6.929 1.386 1939 1 NaN NaN NaN NaN NaN NaN -8.563 1.307 1939 2 NaN NaN NaN NaN NaN NaN -11.234 -4.255 1939 3 NaN NaN NaN NaN NaN NaN -3.354 0.468 1939 4 NaN NaN NaN NaN NaN NaN 4.603 2.295 1939 5 7.722 1.751 0 0 7.722 1.751 9.988 1.813 1939 6 8.000 -2.318 0 0 8.000 -2.318 10.183 -2.340 1939 7 13.889 -0.796 0 0 13.889 -0.796 17.500 0.611 1939 8 12.333 -1.218 0 0 12.333 -1.218 15.876 0.120 1939 9 9.111 0.499 0 0 9.111 0.499 11.209 0.393 1939 10 3.333 0.860 0 0 3.333 0.860 5.447 0.769 1939 11 -2.611 2.646 0 0 -2.611 2.646 0.071 3.124 1939 12 -5.000 5.519 0 0 -5.000 5.519 -3.885 4.430 1940 1 NaN NaN NaN NaN NaN NaN -9.293 0.577 1940 2 NaN NaN NaN NaN NaN NaN -4.802 2.177 1940 3 NaN NaN NaN NaN NaN NaN -2.069 1.753 1940 4 NaN NaN NaN NaN NaN NaN 3.566 1.259 1940 5 7.333 1.362 0 0 7.333 1.362 10.386 2.211 1940 6 11.222 0.904 0 0 11.222 0.904 13.826 1.303 1940 7 13.889 -0.796 0 0 13.889 -0.796 17.932 1.042 1940 8 13.667 0.115 0 0 13.667 0.115 17.168 1.412 1940 9 10.556 1.943 0 0 10.556 1.943 11.443 0.626 1940 10 4.444 1.971 0 0 4.444 1.971 6.989 2.312 1940 11 NaN NaN NaN NaN NaN NaN -5.100 -2.048 1940 12 NaN NaN NaN NaN NaN NaN -6.178 2.137 1941 1 NaN NaN NaN NaN NaN NaN -8.025 1.845 1941 2 NaN NaN NaN NaN NaN NaN -5.062 1.917 1941 3 NaN NaN NaN NaN NaN NaN -2.218 1.603 1941 4 NaN NaN NaN NaN NaN NaN 2.645 0.337 1941 5 NaN NaN NaN NaN NaN NaN 9.207 1.031 1941 6 10.222 -0.096 0 0 10.222 -0.096 11.763 -0.760 1941 7 13.389 -1.296 0 0 13.389 -1.296 17.462 0.572 1941 8 12.889 -0.663 0 0 12.889 -0.663 15.535 -0.221 1941 9 5.444 -3.168 0 0 5.444 -3.168 7.606 -3.211 1941 10 1.333 -1.140 0 0 1.333 -1.140 4.780 0.103 1941 11 -5.333 -0.077 0 0 -5.333 -0.077 -2.119 0.933 1941 12 NaN NaN NaN NaN NaN NaN -6.204 2.111 1942 1 NaN NaN NaN NaN NaN NaN -10.879 -1.009 1942 2 NaN NaN NaN NaN NaN NaN -10.741 -3.762 1942 3 NaN NaN NaN NaN NaN NaN -6.820 -2.998 1942 4 NaN NaN NaN NaN NaN NaN 3.691 1.383 1942 5 NaN NaN NaN NaN NaN NaN 5.988 -2.187 1942 6 NaN NaN NaN NaN NaN NaN 10.295 -2.228 1942 7 NaN NaN NaN NaN NaN NaN 17.823 0.933 1942 8 NaN NaN NaN NaN NaN NaN 16.135 0.379 1942 9 NaN NaN NaN NaN NaN NaN 10.644 -0.172 1942 10 NaN NaN NaN NaN NaN NaN 5.776 1.098 1942 11 NaN NaN NaN NaN NaN NaN -3.136 -0.083