% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39921 % Primary Name: DUBOIS 34 W % Record Type: TAVG % Country: United States % State: ID % Latitude: 44.18330 +/- 0.00005 % Longitude: -112.93330 +/- 0.00005 % Elevation (m): 1884.90 +/- 0.05 % # of Months: 35 % % IDs: coop - 102722 % ghcnd - USC00102722 % ncdc - 20005310 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: b1c62b7779c9896c95163d7e8dc3450b % Raw Data Hash: ced1b2d5fc104e07be17d519285dd514 % Adj Data Hash: 68dd637d71d73ebdd61835b6a0a71e5f % % 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 1962 11 NaN NaN NaN NaN NaN NaN -1.546 1.750 1962 12 NaN NaN NaN NaN NaN NaN -6.363 2.297 1963 1 NaN NaN NaN NaN NaN NaN -11.939 -1.832 1963 2 NaN NaN NaN NaN NaN NaN -0.522 6.352 1963 3 NaN NaN NaN NaN NaN NaN -2.945 0.707 1963 4 NaN NaN NaN NaN NaN NaN 0.632 -1.319 1963 5 NaN NaN NaN NaN NaN NaN 8.389 1.096 1963 6 NaN NaN NaN NaN NaN NaN 9.628 -2.027 1963 7 NaN NaN NaN NaN NaN NaN 15.279 -0.738 1963 8 NaN NaN NaN NaN NaN NaN 15.136 0.310 1963 9 NaN NaN NaN NaN NaN NaN 12.279 2.146 1963 10 NaN NaN NaN NaN NaN NaN 7.328 3.178 1963 11 -1.778 0.906 0 0 -1.778 0.906 -2.648 0.648 1963 12 -9.000 -0.952 0 0 -9.000 -0.952 -10.032 -1.372 1964 1 -11.722 -2.227 0 0 -11.722 -2.227 -11.849 -1.743 1964 2 -10.137 -3.874 1 0 NaN NaN -9.665 -2.792 1964 3 -8.000 -4.959 0 0 -8.000 -4.959 -8.127 -4.475 1964 4 2.667 0.104 0 0 2.667 0.104 0.638 -1.313 1964 5 8.278 0.373 1 0 NaN NaN 6.746 -0.547 1964 6 10.722 -1.544 0 0 10.722 -1.544 9.615 -2.039 1964 7 18.556 1.927 0 0 18.556 1.927 17.029 1.012 1964 8 15.667 0.229 0 0 15.667 0.229 13.705 -1.121 1964 9 10.056 -0.690 0 0 10.056 -0.690 8.705 -1.429 1964 10 6.222 1.460 0 0 6.222 1.460 6.136 1.985 1964 11 -3.444 -0.760 0 0 -3.444 -0.760 -3.872 -0.576 1964 12 -6.111 1.937 0 0 -6.111 1.937 -8.559 0.101 1965 1 -6.500 2.995 0 0 -6.500 2.995 -7.845 2.262 1965 2 -7.944 -1.682 0 0 -7.944 -1.682 -6.169 0.705 1965 3 -6.722 -3.681 0 0 -6.722 -3.681 -6.486 -2.833 1965 4 4.278 1.716 0 0 4.278 1.716 2.747 0.796 1965 5 5.500 -2.404 0 0 5.500 -2.404 5.632 -1.661 1965 6 11.611 -0.655 0 0 11.611 -0.655 10.644 -1.011 1965 7 15.833 -0.795 0 0 15.833 -0.795 15.485 -0.532 1965 8 14.778 -0.660 0 0 14.778 -0.660 13.471 -1.355 1965 9 6.389 -4.356 0 0 6.389 -4.356 6.018 -4.116 1965 10 5.389 0.627 0 0 5.389 0.627 6.658 2.508 1965 11 -0.944 1.740 0 0 -0.944 1.740 -0.650 2.646 1965 12 -7.556 0.493 0 0 -7.556 0.493 -7.884 0.776 1966 1 -9.556 -0.060 0 0 -9.556 -0.060 -8.674 1.432 1966 2 -9.167 -2.904 0 0 -9.167 -2.904 -7.363 -0.489 1966 3 -2.889 0.152 0 0 -2.889 0.152 -3.858 -0.206 1966 4 3.111 0.549 0 0 3.111 0.549 1.892 -0.059 1966 5 9.167 1.262 1 0 NaN NaN 9.280 1.987 1966 6 11.500 -0.766 0 0 11.500 -0.766 10.638 -1.017 1966 7 18.611 1.983 0 0 18.611 1.983 16.899 0.882 1966 8 16.444 1.007 0 0 16.444 1.007 15.104 0.278 1966 9 12.778 2.033 0 0 12.778 2.033 12.213 2.079 1966 10 NaN NaN NaN NaN NaN NaN 3.981 -0.169 1966 11 NaN NaN NaN NaN NaN NaN -1.728 1.568 1966 12 NaN NaN NaN NaN NaN NaN -9.520 -0.860 1967 1 NaN NaN NaN NaN NaN NaN -6.926 3.180 1967 2 NaN NaN NaN NaN NaN NaN -5.555 1.319 1967 3 NaN NaN NaN NaN NaN NaN -3.934 -0.281 1967 4 NaN NaN NaN NaN NaN NaN -0.686 -2.637 1967 5 NaN NaN NaN NaN NaN NaN 6.975 -0.318 1967 6 NaN NaN NaN NaN NaN NaN 10.384 -1.271 1967 7 NaN NaN NaN NaN NaN NaN 17.229 1.212 1967 8 NaN NaN NaN NaN NaN NaN 16.725 1.899 1967 9 NaN NaN NaN NaN NaN NaN 12.395 2.261