% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33370 % Primary Name: LAKE BERRYESSA % Record Type: TAVG % Country: United States % State: CA % Latitude: 38.57940 +/- 0.00005 % Longitude: -122.25000 +/- 0.00005 % Elevation (m): 138.68 +/- 0.15 % # of Months: 38 % % Alternate Names: Missing Station ID - 44673 % % IDs: coop - 44673 % ghcnd - USC00044673 % ncdc - 30002367 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 1e0a13ab4503c1814377527b8d979b0e % Raw Data Hash: d20b87ad589e18a13e1b3e5652808800 % Adj Data Hash: c39773de123c481391eb8007c757325b % % 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 2004 6 NaN NaN NaN NaN NaN NaN 18.458 0.264 2004 7 NaN NaN NaN NaN NaN NaN 20.245 0.656 2004 8 NaN NaN NaN NaN NaN NaN 20.496 0.972 2004 9 NaN NaN NaN NaN NaN NaN 20.947 1.810 2004 10 NaN NaN NaN NaN NaN NaN 15.946 -0.310 2004 11 NaN NaN NaN NaN NaN NaN 11.573 -0.460 2004 12 NaN NaN NaN NaN NaN NaN 9.487 0.889 2005 1 NaN NaN NaN NaN NaN NaN 8.521 0.221 2005 2 NaN NaN NaN NaN NaN NaN 12.162 1.680 2005 3 NaN NaN NaN NaN NaN NaN 13.240 1.599 2005 4 NaN NaN NaN NaN NaN NaN 12.927 -0.283 2005 5 NaN NaN NaN NaN NaN NaN 16.422 0.635 2005 6 20.111 0.187 0 0 20.111 0.187 17.536 -0.657 2005 7 26.611 5.291 0 0 26.611 5.291 21.388 1.799 2005 8 25.278 4.024 0 0 25.278 4.024 20.334 0.810 2005 9 20.944 0.077 0 0 20.944 0.077 18.343 -0.793 2005 10 18.167 0.180 0 0 18.167 0.180 16.545 0.289 2005 11 12.944 -0.819 0 0 12.944 -0.819 13.603 1.570 2005 12 10.056 -0.273 0 0 10.056 -0.273 10.619 2.021 2006 1 9.167 -0.864 0 0 9.167 -0.864 9.906 1.606 2006 2 11.167 -1.046 0 0 11.167 -1.046 11.658 1.176 2006 3 9.333 -4.037 0 0 9.333 -4.037 9.505 -2.135 2006 4 14.056 -0.885 0 0 14.056 -0.885 12.739 -0.472 2006 5 19.278 1.761 0 0 19.278 1.761 16.925 1.138 2006 6 23.667 3.742 0 0 23.667 3.742 19.915 1.721 2006 7 26.611 5.291 0 0 26.611 5.291 22.378 2.789 2006 8 23.611 2.357 0 0 23.611 2.357 19.493 -0.031 2006 9 22.333 1.466 0 0 22.333 1.466 19.389 0.252 2006 10 17.111 -0.875 0 0 17.111 -0.875 16.134 -0.122 2006 11 12.444 -1.319 0 0 12.444 -1.319 12.440 0.407 2006 12 8.889 -1.440 0 0 8.889 -1.440 9.176 0.578 2007 1 8.556 -1.475 0 0 8.556 -1.475 8.114 -0.186 2007 2 10.389 -1.824 0 0 10.389 -1.824 11.003 0.521 2007 3 14.778 1.407 0 0 14.778 1.407 13.541 1.901 2007 4 15.389 0.448 0 0 15.389 0.448 13.768 0.557 2007 5 19.117 1.600 1 0 NaN NaN 16.447 0.660 2007 6 22.556 2.631 0 0 22.556 2.631 18.632 0.438 2007 7 24.889 3.569 0 0 24.889 3.569 20.325 0.736 2007 8 24.722 3.468 0 0 24.722 3.468 20.521 0.997 2007 9 21.556 0.689 0 0 21.556 0.689 19.230 0.093 2007 10 16.500 -1.486 0 0 16.500 -1.486 15.697 -0.559 2007 11 13.444 -0.319 0 0 13.444 -0.319 13.240 1.206 2007 12 8.916 -1.413 1 0 NaN NaN 8.313 -0.285 2008 1 7.444 -2.586 0 0 7.444 -2.586 8.026 -0.274 2008 2 10.167 -2.046 0 0 10.167 -2.046 10.671 0.189 2008 3 12.611 -0.760 0 0 12.611 -0.760 11.793 0.153 2008 4 14.444 -0.496 0 0 14.444 -0.496 13.090 -0.120 2008 5 19.500 1.983 0 0 19.500 1.983 16.390 0.603 2008 6 23.167 3.242 0 0 23.167 3.242 19.257 1.063 2008 7 26.076 4.757 1 0 NaN NaN 20.298 0.709 2008 8 NaN NaN NaN NaN NaN NaN 20.708 1.184 2008 9 NaN NaN NaN NaN NaN NaN 20.442 1.305 2008 10 NaN NaN NaN NaN NaN NaN 17.566 1.310 2008 11 NaN NaN NaN NaN NaN NaN 13.765 1.732 2008 12 NaN NaN NaN NaN NaN NaN 7.974 -0.625 2009 1 NaN NaN NaN NaN NaN NaN 10.067 1.767 2009 2 NaN NaN NaN NaN NaN NaN 10.610 0.128 2009 3 NaN NaN NaN NaN NaN NaN 11.583 -0.058 2009 4 NaN NaN NaN NaN NaN NaN 13.402 0.191 2009 5 NaN NaN NaN NaN NaN NaN 16.954 1.167 2009 6 NaN NaN NaN NaN NaN NaN 18.241 0.048 2009 7 NaN NaN NaN NaN NaN NaN 19.867 0.278