% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31772 % Primary Name: CLIFF CAMP % Record Type: TAVG % Country: United States % State: CA % Latitude: 37.00000 +/- 0.00833 % Longitude: -119.00000 +/- 0.00833 % Elevation (m): 1882.10 +/- 0.05 % # of Months: 31 % % IDs: coop - 41821 % ncdc - 20002312 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: ffe9b271a41dfca77f4c5583805d9c23 % Raw Data Hash: 4cdb8d026cb1d62384e76f505802fd56 % Adj Data Hash: 1b96687c66842416914058054a1a09af % % 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 1930 1 NaN NaN NaN NaN NaN NaN 6.188 -0.485 1930 2 NaN NaN NaN NaN NaN NaN 11.387 2.314 1930 3 NaN NaN NaN NaN NaN NaN 11.300 0.510 1930 4 NaN NaN NaN NaN NaN NaN 14.980 1.366 1930 5 NaN NaN NaN NaN NaN NaN 15.191 -2.850 1930 6 NaN NaN NaN NaN NaN NaN 22.767 0.262 1930 7 NaN NaN NaN NaN NaN NaN 26.294 0.049 1930 8 NaN NaN NaN NaN NaN NaN 24.647 -0.662 1930 9 NaN NaN NaN NaN NaN NaN 19.949 -2.455 1930 10 NaN NaN NaN NaN NaN NaN 16.435 -0.607 1930 11 NaN NaN NaN NaN NaN NaN 11.175 0.265 1930 12 NaN NaN NaN NaN NaN NaN 5.985 -0.851 1931 1 2.611 2.762 0 0 2.611 2.762 7.441 0.768 1931 2 4.667 2.418 1 0 NaN NaN 10.191 1.118 1931 3 8.778 4.813 1 0 NaN NaN 11.994 1.205 1931 4 10.222 3.433 0 0 10.222 3.433 16.242 2.628 1931 5 12.944 1.728 0 0 12.944 1.728 21.056 3.015 1931 6 15.000 -0.681 0 0 15.000 -0.681 21.149 -1.356 1931 7 20.944 1.523 0 0 20.944 1.523 29.303 3.057 1931 8 19.222 0.738 0 0 19.222 0.738 26.874 1.565 1931 9 14.444 -1.136 0 0 14.444 -1.136 21.107 -1.298 1931 10 10.778 0.561 0 0 10.778 0.561 16.837 -0.204 1931 11 4.111 0.025 0 0 4.111 0.025 9.253 -1.657 1931 12 0.444 0.433 1 0 NaN NaN 5.808 -1.027 1932 1 0.667 0.818 0 0 0.667 0.818 4.620 -2.053 1932 2 5.000 2.751 1 0 NaN NaN 8.269 -0.804 1932 3 5.722 1.757 0 0 5.722 1.757 11.609 0.820 1932 4 5.667 -1.123 0 0 5.667 -1.123 12.855 -0.759 1932 5 8.056 -3.161 0 0 8.056 -3.161 18.143 0.103 1932 6 16.222 0.542 0 0 16.222 0.542 22.706 0.202 1932 7 16.667 -2.755 1 0 NaN NaN 25.574 -0.672 1932 8 16.222 -2.262 0 0 16.222 -2.262 24.605 -0.704 1932 9 13.667 -1.914 0 0 13.667 -1.914 23.974 1.569 1932 10 12.278 2.061 0 0 12.278 2.061 16.989 -0.052 1932 11 9.667 5.581 0 0 9.667 5.581 13.253 2.343 1932 12 0.722 0.711 1 0 NaN NaN 4.214 -2.621 1933 1 1.722 1.873 0 0 1.722 1.873 3.984 -2.689 1933 2 0.111 -2.138 0 0 0.111 -2.138 6.813 -2.261 1933 3 3.056 -0.909 0 0 3.056 -0.909 10.375 -0.414 1933 4 4.611 -2.179 0 0 4.611 -2.179 13.232 -0.382 1933 5 5.778 -5.438 0 0 5.778 -5.438 14.749 -3.291 1933 6 14.222 -1.458 0 0 14.222 -1.458 20.970 -1.535 1933 7 17.667 -1.755 0 0 17.667 -1.755 28.075 1.829 1933 8 NaN NaN NaN NaN NaN NaN 26.052 0.744 1933 9 NaN NaN NaN NaN NaN NaN 21.251 -1.154 1933 10 NaN NaN NaN NaN NaN NaN 20.351 3.310 1933 11 NaN NaN NaN NaN NaN NaN 12.280 1.370 1933 12 NaN NaN NaN NaN NaN NaN 6.906 0.071 1934 1 NaN NaN NaN NaN NaN NaN 7.129 0.456 1934 2 NaN NaN NaN NaN NaN NaN 10.862 1.789 1934 3 NaN NaN NaN NaN NaN NaN 15.083 4.294 1934 4 NaN NaN NaN NaN NaN NaN 17.286 3.672 1934 5 NaN NaN NaN NaN NaN NaN 19.861 1.820 1934 6 NaN NaN NaN NaN NaN NaN 20.748 -1.757 1934 7 NaN NaN NaN NaN NaN NaN 26.506 0.260