% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34645 % Primary Name: SCALES % Record Type: TAVG % Country: United States % State: CA % Latitude: 39.60000 +/- 0.00833 % Longitude: -120.98333 +/- 0.00833 % Elevation (m): 1311.90 +/- 0.05 % # of Months: 24 % % IDs: coop - 48029 % ncdc - 20002953 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: be63d962f784ef524a5e476c31ffb4cb % Raw Data Hash: cf17ee474f1f4ab12a0d9628054a37f1 % Adj Data Hash: d4519c2629d371da189c85d653fa3df2 % % 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 1934 1 NaN NaN NaN NaN NaN NaN 5.084 2.299 1934 2 NaN NaN NaN NaN NaN NaN 6.628 1.942 1934 3 NaN NaN NaN NaN NaN NaN 10.616 4.599 1934 4 NaN NaN NaN NaN NaN NaN 11.993 3.244 1934 5 NaN NaN NaN NaN NaN NaN 14.821 1.686 1934 6 NaN NaN NaN NaN NaN NaN 16.256 -1.253 1934 7 NaN NaN NaN NaN NaN NaN 21.120 -0.229 1934 8 NaN NaN NaN NaN NaN NaN 21.324 0.801 1934 9 NaN NaN NaN NaN NaN NaN 18.552 0.769 1934 10 NaN NaN NaN NaN NaN NaN 13.369 0.742 1934 11 NaN NaN NaN NaN NaN NaN 7.556 0.499 1934 12 NaN NaN NaN NaN NaN NaN 3.990 0.527 1935 1 2.000 -0.023 0 0 2.000 -0.023 2.309 -0.476 1935 2 3.000 -0.925 0 0 3.000 -0.925 5.120 0.434 1935 3 3.111 -2.145 0 0 3.111 -2.145 2.959 -3.058 1935 4 6.944 -1.044 0 0 6.944 -1.044 8.107 -0.642 1935 5 12.000 -0.373 0 0 12.000 -0.373 12.931 -0.204 1935 6 16.778 0.030 0 0 16.778 0.030 18.424 0.915 1935 7 17.500 -3.087 0 0 17.500 -3.087 20.261 -1.088 1935 8 20.333 0.572 0 0 20.333 0.572 21.235 0.712 1935 9 18.778 1.756 0 0 18.778 1.756 19.212 1.429 1935 10 11.333 -0.533 0 0 11.333 -0.533 11.520 -1.108 1935 11 7.611 1.315 0 0 7.611 1.315 4.918 -2.139 1935 12 NaN NaN NaN NaN NaN NaN 3.565 0.102 1936 1 NaN NaN NaN NaN NaN NaN 4.320 1.535 1936 2 NaN NaN NaN NaN NaN NaN 4.171 -0.516 1936 3 8.389 3.133 0 0 8.389 3.133 7.134 1.117 1936 4 9.722 1.734 0 0 9.722 1.734 9.926 1.176 1936 5 12.889 0.516 0 0 12.889 0.516 13.909 0.774 1936 6 15.222 -1.526 0 0 15.222 -1.526 16.918 -0.592 1936 7 20.111 -0.476 0 0 20.111 -0.476 22.421 1.072 1936 8 20.111 0.350 0 0 20.111 0.350 21.168 0.645 1936 9 18.833 1.811 0 0 18.833 1.811 18.193 0.410 1936 10 14.944 3.078 0 0 14.944 3.078 14.058 1.430 1936 11 NaN NaN NaN NaN NaN NaN 7.985 0.928 1936 12 NaN NaN NaN NaN NaN NaN 2.916 -0.547 1937 1 NaN NaN NaN NaN NaN NaN -3.136 -5.921 1937 2 NaN NaN NaN NaN NaN NaN 2.917 -1.770 1937 3 NaN NaN NaN NaN NaN NaN 5.581 -0.436 1937 4 NaN NaN NaN NaN NaN NaN 7.476 -1.273 1937 5 12.000 -0.373 0 0 12.000 -0.373 14.466 1.331 1937 6 14.778 -1.970 0 0 14.778 -1.970 16.749 -0.760 1937 7 21.222 0.635 0 0 21.222 0.635 22.373 1.024 1937 8 19.778 0.016 0 0 19.778 0.016 20.856 0.334 1937 9 17.889 0.867 0 0 17.889 0.867 18.384 0.601 1937 10 NaN NaN NaN NaN NaN NaN 13.444 0.817 1937 11 NaN NaN NaN NaN NaN NaN 7.744 0.687 1937 12 NaN NaN NaN NaN NaN NaN 5.337 1.873 1938 1 NaN NaN NaN NaN NaN NaN 3.972 1.187 1938 2 NaN NaN NaN NaN NaN NaN 3.231 -1.455 1938 3 NaN NaN NaN NaN NaN NaN 3.569 -2.448 1938 4 NaN NaN NaN NaN NaN NaN 8.308 -0.442 1938 5 NaN NaN NaN NaN NaN NaN 13.349 0.214 1938 6 NaN NaN NaN NaN NaN NaN 18.273 0.764 1938 7 NaN NaN NaN NaN NaN NaN 21.938 0.589 1938 8 NaN NaN NaN NaN NaN NaN 20.289 -0.234 1938 9 NaN NaN NaN NaN NaN NaN 18.855 1.072