% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39349 % Primary Name: GIMLET % Record Type: TAVG % Country: United States % State: ID % Latitude: 43.60000 +/- 0.00500 % Longitude: -114.35000 +/- 0.00500 % Elevation (m): 1993.09 +/- 0.15 % # of Months: 32 % % Alternate Names: Missing Station ID - 103580 % % IDs: coop - 103580 % ghcnd - USC00103580 % ncdc - 12001582 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 8add8188edc2ff59026b64260fb6278c % Raw Data Hash: 3ae3a26387ae5c6cb001c025450eaa5e % Adj Data Hash: 025ae0ed04479d7a57753420da1b3a1f % % 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 1895 6 NaN NaN NaN NaN NaN NaN 9.633 -2.021 1895 7 NaN NaN NaN NaN NaN NaN 15.079 -0.938 1895 8 NaN NaN NaN NaN NaN NaN 14.773 -0.053 1895 9 NaN NaN NaN NaN NaN NaN 7.800 -2.334 1895 10 NaN NaN NaN NaN NaN NaN 5.655 1.505 1895 11 NaN NaN NaN NaN NaN NaN -3.817 -0.521 1895 12 NaN NaN NaN NaN NaN NaN -10.366 -1.707 1896 1 NaN NaN NaN NaN NaN NaN -7.445 2.662 1896 2 NaN NaN NaN NaN NaN NaN -5.027 1.847 1896 3 NaN NaN NaN NaN NaN NaN -5.389 -1.737 1896 4 NaN NaN NaN NaN NaN NaN 0.103 -1.848 1896 5 NaN NaN NaN NaN NaN NaN 4.222 -3.071 1896 6 15.497 0.722 0 0 15.497 0.722 12.357 0.703 1896 7 19.810 0.673 0 0 19.810 0.673 16.913 0.896 1896 8 17.224 -0.722 0 0 17.224 -0.722 14.409 -0.417 1896 9 11.872 -1.382 0 0 11.872 -1.382 8.391 -1.743 1896 10 8.361 1.091 0 0 8.361 1.091 5.055 0.905 1896 11 -3.420 -3.245 0 0 -3.420 -3.245 -6.437 -3.142 1896 12 -3.442 2.098 0 0 -3.442 2.098 -5.499 3.160 1897 1 -6.176 0.811 0 0 -6.176 0.811 -9.754 0.352 1897 2 -5.470 -1.716 0 0 -5.470 -1.716 -7.373 -0.499 1897 3 -3.392 -2.860 0 0 -3.392 -2.860 -8.100 -4.448 1897 4 5.193 0.122 0 0 5.193 0.122 1.948 -0.003 1897 5 14.748 4.335 1 0 NaN NaN 11.170 3.877 1897 6 14.297 -0.478 0 0 14.297 -0.478 10.236 -1.418 1897 7 17.299 -1.838 0 0 17.299 -1.838 14.126 -1.891 1897 8 NaN NaN NaN NaN NaN NaN 15.971 1.145 1897 9 14.645 1.391 0 0 14.645 1.391 10.262 0.128 1897 10 8.594 1.323 0 0 8.594 1.323 4.417 0.266 1897 11 -0.047 0.129 0 0 -0.047 0.129 -2.751 0.544 1897 12 -7.037 -1.497 0 0 -7.037 -1.497 -9.144 -0.484 1898 1 -7.431 -0.444 0 0 -7.431 -0.444 -12.568 -2.462 1898 2 -3.234 0.520 0 0 -3.234 0.520 -4.779 2.095 1898 3 -2.792 -2.260 0 0 -2.792 -2.260 -6.554 -2.901 1898 4 3.026 -2.045 1 0 NaN NaN 3.759 1.808 1898 5 9.845 -0.568 0 0 9.845 -0.568 6.937 -0.356 1898 6 14.343 -0.431 0 0 14.343 -0.431 11.047 -0.608 1898 7 NaN NaN NaN NaN NaN NaN 15.574 -0.444 1898 8 20.549 2.603 0 0 20.549 2.603 16.406 1.580 1898 9 NaN NaN NaN NaN NaN NaN 9.445 -0.689 1898 10 NaN NaN NaN NaN NaN NaN 2.478 -1.673 1898 11 -4.595 -4.420 0 0 -4.595 -4.420 -5.203 -1.908 1898 12 -7.694 -2.154 0 0 -7.694 -2.154 -11.307 -2.647 1899 1 -5.090 1.896 0 0 -5.090 1.896 -7.542 2.564 1899 2 -7.725 -3.971 0 0 -7.725 -3.971 -9.957 -3.083 1899 3 -2.110 -1.578 0 0 -2.110 -1.578 -5.147 -1.494 1899 4 4.462 -0.609 0 0 4.462 -0.609 1.240 -0.711 1899 5 7.803 -2.610 0 0 7.803 -2.610 4.912 -2.381 1899 6 NaN NaN NaN NaN NaN NaN 9.927 -1.728 1899 7 NaN NaN NaN NaN NaN NaN 16.030 0.013 1899 8 NaN NaN NaN NaN NaN NaN 11.796 -3.030 1899 9 NaN NaN NaN NaN NaN NaN 10.571 0.437 1899 10 NaN NaN NaN NaN NaN NaN 2.333 -1.817 1899 11 NaN NaN NaN NaN NaN NaN -0.026 3.270 1899 12 NaN NaN NaN NaN NaN NaN -9.386 -0.726 1900 1 NaN NaN NaN NaN NaN NaN -7.028 3.079 1900 2 NaN NaN NaN NaN NaN NaN -6.497 0.377 1900 3 NaN NaN NaN NaN NaN NaN -0.512 3.140 1900 4 NaN NaN NaN NaN NaN NaN 3.493 1.542 1900 5 NaN NaN NaN NaN NaN NaN 8.848 1.555