% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 161317 % Primary Name: SALSIPUEDES GAGING STN % Record Type: TAVG % Country: United States % State: CA % Latitude: 34.58011 +/- 0.01156 % Longitude: -120.40001 +/- 0.00834 % Elevation (m): 78.38 +/- 2.23 % # of Months: 14 % % Alternate Names: SALSIPUEDES GAUGING ST % % IDs: coop - 47681 % ghcnd - USC00047681 % ncdc - 20001917 % nws - SASC1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 4fb8a0a4a77916c1890e40394fb80c51 % Raw Data Hash: d57278f0b2759d0392166eec72906f17 % Adj Data Hash: 2699dd42d5696ef5c8811f7a5048e810 % % 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 2010 8 NaN NaN NaN NaN NaN NaN 15.693 -0.563 2010 9 NaN NaN NaN NaN NaN NaN 17.510 0.596 2010 10 NaN NaN NaN NaN NaN NaN 16.682 0.488 2010 11 NaN NaN NaN NaN NaN NaN 14.150 -0.151 2010 12 NaN NaN NaN NaN NaN NaN 12.898 0.675 2011 1 NaN NaN NaN NaN NaN NaN 13.505 1.818 2011 2 NaN NaN NaN NaN NaN NaN 11.539 -0.650 2011 3 NaN NaN NaN NaN NaN NaN 12.248 0.339 2011 4 NaN NaN NaN NaN NaN NaN 12.968 0.663 2011 5 NaN NaN NaN NaN NaN NaN 12.947 -0.406 2011 6 NaN NaN NaN NaN NaN NaN 13.845 -0.711 2011 7 NaN NaN NaN NaN NaN NaN 16.100 0.430 2011 8 18.027 1.892 1 0 NaN NaN 15.997 -0.259 2011 9 NaN NaN NaN NaN NaN NaN 17.713 0.798 2011 10 NaN NaN NaN NaN NaN NaN 17.636 1.442 2011 11 NaN NaN NaN NaN NaN NaN 14.107 -0.193 2011 12 NaN NaN NaN NaN NaN NaN 12.092 -0.131 2012 1 NaN NaN NaN NaN NaN NaN 13.420 1.733 2012 2 NaN NaN NaN NaN NaN NaN 12.969 0.780 2012 3 NaN NaN NaN NaN NaN NaN 11.651 -0.258 2012 4 NaN NaN NaN NaN NaN NaN 13.185 0.880 2012 5 NaN NaN NaN NaN NaN NaN 14.081 0.729 2012 6 NaN NaN NaN NaN NaN NaN 14.681 0.125 2012 7 NaN NaN NaN NaN NaN NaN 15.598 -0.072 2012 8 20.025 3.890 1 0 NaN NaN 17.426 1.170 2012 9 18.578 1.785 0 0 18.578 1.785 17.959 1.044 2012 10 16.428 0.354 0 0 16.428 0.354 18.175 1.981 2012 11 NaN NaN NaN NaN NaN NaN 15.923 1.622 2012 12 10.313 -1.789 0 0 10.313 -1.789 12.436 0.213 2013 1 7.616 -3.950 1 0 NaN NaN 11.991 0.304 2013 2 9.215 -2.854 1 0 NaN NaN 11.928 -0.261 2013 3 12.650 0.862 0 0 12.650 0.862 13.615 1.707 2013 4 13.877 1.693 0 0 13.877 1.693 13.856 1.552 2013 5 15.586 2.354 0 0 15.586 2.354 15.264 1.911 2013 6 17.683 3.247 0 0 17.683 3.247 16.184 1.628 2013 7 18.718 3.168 1 0 NaN NaN 16.757 1.087 2013 8 18.459 2.323 0 0 18.459 2.323 16.770 0.514 2013 9 17.813 1.019 0 0 17.813 1.019 18.214 1.300 2013 10 NaN NaN NaN NaN NaN NaN 16.293 0.098