% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 170971 % Primary Name: SCHWEITZER SADDLE % Record Type: TAVG % Country: United States % State: ID % Latitude: 48.38330 +/- 0.00005 % Longitude: -116.65000 +/- 0.00005 % Elevation (m): 1862.30 +/- 0.50 % # of Months: 68 % % IDs: ghcnd - USS0016A13S % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 43082a7ab367581d86e7359b8ee23d9b % Raw Data Hash: 24547546edab238dc11d192f30443885 % Adj Data Hash: ca47489ddcddc04b7dc72046c0cb9ab8 % % 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 2002 1 NaN NaN NaN NaN NaN NaN -4.935 2.592 2002 2 NaN NaN NaN NaN NaN NaN -2.645 1.432 2002 3 NaN NaN NaN NaN NaN NaN -2.923 -1.990 2002 4 NaN NaN NaN NaN NaN NaN 4.024 -0.078 2002 5 NaN NaN NaN NaN NaN NaN 7.708 -1.310 2002 6 NaN NaN NaN NaN NaN NaN 13.219 0.529 2002 7 NaN NaN NaN NaN NaN NaN 17.518 1.343 2002 8 NaN NaN NaN NaN NaN NaN 15.739 0.159 2002 9 NaN NaN NaN NaN NaN NaN 11.269 0.460 2002 10 NaN NaN NaN NaN NaN NaN 3.428 -0.862 2002 11 NaN NaN NaN NaN NaN NaN -0.756 1.297 2002 12 NaN NaN NaN NaN NaN NaN -2.405 3.265 2003 1 -1.511 8.334 1 0 NaN NaN -3.446 4.082 2003 2 -4.714 1.680 0 0 -4.714 1.680 -2.085 1.992 2003 3 -2.150 1.100 0 0 -2.150 1.100 0.040 0.972 2003 4 1.059 -0.726 0 0 1.059 -0.726 4.204 0.102 2003 5 4.498 -2.202 0 0 4.498 -2.202 8.762 -0.256 2003 6 10.208 -0.164 0 0 10.208 -0.164 13.851 1.161 2003 7 16.326 2.469 0 0 16.326 2.469 18.978 2.803 2003 8 15.130 1.867 0 0 15.130 1.867 18.052 2.471 2003 9 9.750 1.258 0 0 9.750 1.258 12.385 1.575 2003 10 4.466 2.494 0 0 4.466 2.494 6.469 2.180 2003 11 -5.091 -0.720 0 0 -5.091 -0.720 -4.044 -1.990 2003 12 -5.085 2.901 0 0 -5.085 2.901 -4.900 0.769 2004 1 -5.444 4.401 0 0 -5.444 4.401 -6.024 1.503 2004 2 -3.420 2.975 0 0 -3.420 2.975 -1.720 2.357 2004 3 -0.319 2.931 0 0 -0.319 2.931 1.576 2.509 2004 4 3.565 1.780 0 0 3.565 1.780 6.104 2.002 2004 5 4.808 -1.892 0 0 4.808 -1.892 9.306 0.288 2004 6 9.758 -0.614 0 0 9.758 -0.614 13.455 0.765 2004 7 14.539 0.682 0 0 14.539 0.682 17.661 1.486 2004 8 13.826 0.563 0 0 13.826 0.563 17.408 1.828 2004 9 6.897 -1.595 0 0 6.897 -1.595 10.345 -0.464 2004 10 2.923 0.950 0 0 2.923 0.950 5.502 1.212 2004 11 -1.935 2.436 0 0 -1.935 2.436 -1.134 0.920 2004 12 -3.615 4.372 0 0 -3.615 4.372 -3.018 2.651 2005 1 -4.915 4.930 0 0 -4.915 4.930 -6.771 0.756 2005 2 -2.391 4.003 0 0 -2.391 4.003 -2.064 2.013 2005 3 -1.121 2.129 0 0 -1.121 2.129 1.000 1.933 2005 4 1.710 -0.075 0 0 1.710 -0.075 5.061 0.959 2005 5 6.448 -0.252 0 0 6.448 -0.252 10.714 1.696 2005 6 7.988 -2.384 0 0 7.988 -2.384 11.522 -1.168 2005 7 13.158 -0.699 0 0 13.158 -0.699 16.520 0.345 2005 8 13.835 0.573 0 0 13.835 0.573 16.431 0.851 2005 9 7.542 -0.950 0 0 7.542 -0.950 10.408 -0.402 2005 10 3.345 1.373 0 0 3.345 1.373 5.430 1.140 2005 11 -3.015 1.356 0 0 -3.015 1.356 -1.872 0.182 2005 12 -5.878 2.108 0 0 -5.878 2.108 -6.580 -0.911 2006 1 -3.364 6.481 1 0 NaN NaN -2.105 5.422 2006 2 -6.714 -0.320 0 0 -6.714 -0.320 -3.349 0.728 2006 3 -1.279 1.971 1 0 NaN NaN -0.401 0.531 2006 4 1.473 -0.311 0 0 1.473 -0.311 4.910 0.807 2006 5 6.453 -0.247 0 0 6.453 -0.247 9.966 0.948 2006 6 10.317 -0.056 0 0 10.317 -0.056 13.684 0.994 2006 7 16.097 2.240 0 0 16.097 2.240 18.887 2.713 2006 8 14.294 1.031 1 0 NaN NaN 16.331 0.751 2006 9 11.317 2.825 0 0 11.317 2.825 12.444 1.635 2006 10 2.915 0.942 0 0 2.915 0.942 4.970 0.681 2006 11 -3.460 0.911 0 0 -3.460 0.911 -2.176 -0.122 2006 12 NaN NaN NaN NaN NaN NaN -5.007 0.662 2007 1 -7.467 2.378 1 0 NaN NaN -7.381 0.146 2007 2 -3.645 2.750 0 0 -3.645 2.750 -1.482 2.595 2007 3 -0.635 2.615 0 0 -0.635 2.615 1.102 2.034 2007 4 1.364 -0.421 0 0 1.364 -0.421 4.140 0.038 2007 5 6.219 -0.481 0 0 6.219 -0.481 10.110 1.092 2007 6 8.990 -1.383 0 0 8.990 -1.383 12.612 -0.077 2007 7 17.534 3.677 0 0 17.534 3.677 19.987 3.812 2007 8 13.552 0.289 0 0 13.552 0.289 16.140 0.560 2007 9 8.518 0.026 0 0 8.518 0.026 11.137 0.327 2007 10 2.115 0.142 0 0 2.115 0.142 4.252 -0.038 2007 11 -3.265 1.106 0 0 -3.265 1.106 -2.331 -0.277 2007 12 -6.656 1.330 0 0 -6.656 1.330 -5.398 0.271 2008 1 -7.253 2.591 0 0 -7.253 2.591 -7.573 -0.046 2008 2 -3.329 3.065 0 0 -3.329 3.065 -1.880 2.197 2008 3 -3.621 -0.371 0 0 -3.621 -0.371 -1.366 -0.433 2008 4 -1.090 -2.875 0 0 -1.090 -2.875 1.755 -2.347 2008 5 6.158 -0.542 0 0 6.158 -0.542 10.101 1.083 2008 6 8.382 -1.991 0 0 8.382 -1.991 11.853 -0.837 2008 7 13.833 -0.024 1 0 NaN NaN 16.971 0.797 2008 8 NaN NaN NaN NaN NaN NaN 15.785 0.204 2008 9 8.099 -0.393 1 0 NaN NaN 10.727 -0.082 2008 10 NaN NaN NaN NaN NaN NaN 4.398 0.108 2008 11 4.113 8.484 1 0 NaN NaN -0.200 1.854 2008 12 NaN NaN NaN NaN NaN NaN -8.312 -2.643 2009 1 NaN NaN NaN NaN NaN NaN -6.638 0.889 2009 2 NaN NaN NaN NaN NaN NaN -3.107 0.970 2009 3 NaN NaN NaN NaN NaN NaN -2.667 -1.734 2009 4 NaN NaN NaN NaN NaN NaN 3.498 -0.604 2009 5 NaN NaN NaN NaN NaN NaN 9.218 0.200 2009 6 NaN NaN NaN NaN NaN NaN 12.996 0.306 2009 7 NaN NaN NaN NaN NaN NaN 17.543 1.369 2009 8 NaN NaN NaN NaN NaN NaN 17.233 1.652 2009 9 NaN NaN NaN NaN NaN NaN 13.178 2.368 2009 10 NaN NaN NaN NaN NaN NaN 2.700 -1.589 2009 11 NaN NaN NaN NaN NaN NaN -0.648 1.406