% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38538 % Primary Name: RUPERT 13 NNE % Record Type: TAVG % Country: United States % State: ID % Latitude: 42.80000 +/- 0.00005 % Longitude: -113.56670 +/- 0.00005 % Elevation (m): 1327.10 +/- 0.05 % # of Months: 26 % % IDs: coop - 107971 % ghcnd - USC00107971 % ncdc - 20005143 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 6223549886b9525eca10d15314242a45 % Raw Data Hash: 11372cfdb1e137afe05948d2c15a221b % Adj Data Hash: d7fbeae533ed160cc3c58bc0e67566a6 % % 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 4 NaN NaN NaN NaN NaN NaN 8.167 1.986 1962 5 NaN NaN NaN NaN NaN NaN 10.513 -0.919 1962 6 NaN NaN NaN NaN NaN NaN 15.530 -0.532 1962 7 NaN NaN NaN NaN NaN NaN 20.013 -0.897 1962 8 NaN NaN NaN NaN NaN NaN 18.524 -1.188 1962 9 NaN NaN NaN NaN NaN NaN 15.360 0.763 1962 10 NaN NaN NaN NaN NaN NaN 10.213 1.982 1962 11 NaN NaN NaN NaN NaN NaN 3.073 1.824 1962 12 NaN NaN NaN NaN NaN NaN -1.519 1.880 1963 1 NaN NaN NaN NaN NaN NaN -7.131 -2.356 1963 2 NaN NaN NaN NaN NaN NaN 4.029 5.786 1963 3 NaN NaN NaN NaN NaN NaN 1.626 0.243 1963 4 6.000 -0.437 0 0 6.000 -0.437 4.170 -2.011 1963 5 12.833 1.146 0 0 12.833 1.146 12.603 1.172 1963 6 14.111 -2.207 0 0 14.111 -2.207 13.270 -2.792 1963 7 19.889 -1.277 0 0 19.889 -1.277 20.174 -0.736 1963 8 20.389 0.421 0 0 20.389 0.421 20.064 0.352 1963 9 17.444 2.591 0 0 17.444 2.591 16.968 2.371 1963 10 11.111 2.624 0 0 11.111 2.624 11.739 3.508 1963 11 2.389 0.885 0 0 2.389 0.885 1.906 0.658 1963 12 -5.222 -2.079 0 0 -5.222 -2.079 -5.311 -1.912 1964 1 -7.944 -3.425 0 0 -7.944 -3.425 -6.648 -1.873 1964 2 -9.556 -8.054 0 0 -9.556 -8.054 -6.195 -4.439 1964 3 -2.944 -4.583 0 0 -2.944 -4.583 -3.465 -4.848 1964 4 5.278 -1.159 0 0 5.278 -1.159 4.444 -1.737 1964 5 11.111 -0.576 0 0 11.111 -0.576 10.949 -0.483 1964 6 14.278 -2.040 0 0 14.278 -2.040 13.584 -2.478 1964 7 21.222 0.056 0 0 21.222 0.056 21.771 0.862 1964 8 18.444 -1.523 0 0 18.444 -1.523 18.588 -1.123 1964 9 NaN NaN NaN NaN NaN NaN 13.031 -1.566 1964 10 NaN NaN NaN NaN NaN NaN 9.974 1.743 1964 11 1.333 -0.171 0 0 1.333 -0.171 0.634 -0.614 1964 12 NaN NaN NaN NaN NaN NaN -1.965 1.435 1965 1 -1.222 3.297 0 0 -1.222 3.297 -1.882 2.893 1965 2 -0.111 1.390 0 0 -0.111 1.390 -0.213 1.544 1965 3 1.278 -0.361 0 0 1.278 -0.361 -0.671 -2.054 1965 4 NaN NaN NaN NaN NaN NaN 7.001 0.820 1965 5 10.111 -1.576 0 0 10.111 -1.576 9.631 -1.800 1965 6 NaN NaN NaN NaN NaN NaN 14.470 -1.592 1965 7 NaN NaN NaN NaN NaN NaN 20.182 -0.728 1965 8 NaN NaN NaN NaN NaN NaN 18.106 -1.606 1965 9 11.167 -3.686 0 0 11.167 -3.686 10.916 -3.681 1965 10 10.632 2.145 1 0 NaN NaN 10.631 2.400 1965 11 5.056 3.551 0 0 5.056 3.551 4.228 2.980 1965 12 -2.167 0.977 0 0 -2.167 0.977 -3.373 0.026 1966 1 NaN NaN NaN NaN NaN NaN -3.596 1.180 1966 2 NaN NaN NaN NaN NaN NaN -2.679 -0.922 1966 3 NaN NaN NaN NaN NaN NaN 1.331 -0.052 1966 4 NaN NaN NaN NaN NaN NaN 5.898 -0.283 1966 5 NaN NaN NaN NaN NaN NaN 13.405 1.974 1966 6 NaN NaN NaN NaN NaN NaN 15.273 -0.788 1966 7 NaN NaN NaN NaN NaN NaN 21.768 0.858 1966 8 NaN NaN NaN NaN NaN NaN 19.701 -0.011 1966 9 NaN NaN NaN NaN NaN NaN 16.443 1.846 1966 10 NaN NaN NaN NaN NaN NaN 7.758 -0.473 1966 11 NaN NaN NaN NaN NaN NaN 3.091 1.843 1966 12 NaN NaN NaN NaN NaN NaN -4.120 -0.721