% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42647 % Primary Name: SWIFT DAM % Record Type: TAVG % Country: United States % State: MT % Latitude: 48.16390 +/- 0.00005 % Longitude: -112.86690 +/- 0.00005 % Elevation (m): 1456.90 +/- 0.05 % # of Months: 25 % % Alternate Names: Missing Station ID - 248101 % % IDs: coop - 248101 % ghcnd - USC00248101 % ncdc - 20012713 % nws - DUSM8 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: f143bb38a83238230cb98e86ea257826 % Raw Data Hash: 497bf5f6fa85f725347778ab517ad114 % Adj Data Hash: f62a027c89a0557f8b68a554c7816dc9 % % 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 1964 5 NaN NaN NaN NaN NaN NaN 8.877 -0.147 1964 6 NaN NaN NaN NaN NaN NaN 12.455 -0.801 1964 7 NaN NaN NaN NaN NaN NaN 18.019 0.893 1964 8 NaN NaN NaN NaN NaN NaN 15.028 -1.284 1964 9 NaN NaN NaN NaN NaN NaN 9.071 -2.303 1964 10 NaN NaN NaN NaN NaN NaN 8.668 2.431 1964 11 NaN NaN NaN NaN NaN NaN -1.263 -0.551 1964 12 NaN NaN NaN NaN NaN NaN -9.351 -4.717 1965 1 NaN NaN NaN NaN NaN NaN -5.357 2.306 1965 2 NaN NaN NaN NaN NaN NaN -3.043 0.791 1965 3 NaN NaN NaN NaN NaN NaN -7.834 -6.075 1965 4 NaN NaN NaN NaN NaN NaN 3.649 0.092 1965 5 8.865 -0.586 1 0 NaN NaN 8.001 -1.023 1965 6 13.167 -0.516 0 0 13.167 -0.516 11.579 -1.677 1965 7 17.667 0.114 0 0 17.667 0.114 16.961 -0.165 1965 8 17.222 0.483 0 0 17.222 0.483 16.239 -0.073 1965 9 5.611 -6.189 0 0 5.611 -6.189 5.430 -5.943 1965 10 11.444 4.781 0 0 11.444 4.781 10.195 3.958 1965 11 0.167 0.453 0 0 0.167 0.453 -0.451 0.261 1965 12 0.812 5.019 1 0 NaN NaN -3.207 1.426 1966 1 NaN NaN NaN NaN NaN NaN -9.411 -1.748 1966 2 NaN NaN NaN NaN NaN NaN -2.622 1.212 1966 3 NaN NaN NaN NaN NaN NaN -0.483 1.276 1966 4 3.222 -0.761 0 0 3.222 -0.761 2.523 -1.034 1966 5 11.278 1.827 0 0 11.278 1.827 10.528 1.504 1966 6 12.667 -1.016 0 0 12.667 -1.016 11.579 -1.676 1966 7 17.611 0.058 0 0 17.611 0.058 17.956 0.830 1966 8 16.333 -0.405 0 0 16.333 -0.405 15.687 -0.626 1966 9 15.556 3.755 0 0 15.556 3.755 14.088 2.714 1966 10 7.167 0.503 0 0 7.167 0.503 7.163 0.926 1966 11 -1.278 -0.992 0 0 -1.278 -0.992 -1.903 -1.191 1966 12 -2.222 1.985 0 0 -2.222 1.985 -2.943 1.691 1967 1 -4.556 2.681 0 0 -4.556 2.681 -4.474 3.189 1967 2 -3.500 -0.092 0 0 -3.500 -0.092 -0.253 3.581 1967 3 -4.222 -2.890 0 0 -4.222 -2.890 -4.385 -2.626 1967 4 1.556 -2.428 1 0 NaN NaN -0.078 -3.635 1967 5 7.222 -2.228 0 0 7.222 -2.228 7.696 -1.328 1967 6 13.000 -0.682 0 0 13.000 -0.682 11.789 -1.467 1967 7 18.667 1.114 0 0 18.667 1.114 18.264 1.138 1967 8 19.625 2.886 1 0 NaN NaN 18.536 2.223 1967 9 NaN NaN NaN NaN NaN NaN 14.889 3.516 1967 10 NaN NaN NaN NaN NaN NaN 7.984 1.747 1967 11 NaN NaN NaN NaN NaN NaN -0.643 0.070 1967 12 NaN NaN NaN NaN NaN NaN -6.555 -1.921 1968 1 NaN NaN NaN NaN NaN NaN -7.669 -0.005 1968 2 NaN NaN NaN NaN NaN NaN -0.351 3.484 1968 3 NaN NaN NaN NaN NaN NaN 2.005 3.764 1968 4 NaN NaN NaN NaN NaN NaN 2.402 -1.155 1968 5 NaN NaN NaN NaN NaN NaN 7.656 -1.368 1968 6 NaN NaN NaN NaN NaN NaN 12.291 -0.965 1968 7 NaN NaN NaN NaN NaN NaN 17.262 0.136 1968 8 NaN NaN NaN NaN NaN NaN 14.899 -1.413