% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28858 % Primary Name: BERDOO CAMP % Record Type: TAVG % Country: United States % State: CA % Latitude: 33.83333 +/- 0.00833 % Longitude: -116.15000 +/- 0.00833 % Elevation (m): 548.90 +/- 0.05 % # of Months: 53 % % IDs: coop - 40687 % ncdc - 20001590 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 448c57ff2fc9e875bdb605c5d94e9ed7 % Raw Data Hash: 3e37a6b194ba8392bd35e9534b03f76b % Adj Data Hash: 7a0512bcb8b51fed878784bc0d7e5e31 % % 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 1932 7 NaN NaN NaN NaN NaN NaN 27.881 -0.870 1932 8 NaN NaN NaN NaN NaN NaN 26.889 -0.873 1932 9 NaN NaN NaN NaN NaN NaN 25.183 0.812 1932 10 NaN NaN NaN NaN NaN NaN 18.239 -0.146 1932 11 NaN NaN NaN NaN NaN NaN 14.400 2.473 1932 12 NaN NaN NaN NaN NaN NaN 5.575 -2.348 1933 1 NaN NaN NaN NaN NaN NaN 5.736 -1.897 1933 2 NaN NaN NaN NaN NaN NaN 7.323 -2.610 1933 3 NaN NaN NaN NaN NaN NaN 12.185 0.155 1933 4 NaN NaN NaN NaN NaN NaN 13.922 -1.463 1933 5 NaN NaN NaN NaN NaN NaN 16.731 -3.201 1933 6 NaN NaN NaN NaN NaN NaN 23.704 -1.131 1933 7 35.111 0.886 0 0 35.111 0.886 29.902 1.151 1933 8 34.444 1.209 0 0 34.444 1.209 27.551 -0.211 1933 9 31.278 1.432 0 0 31.278 1.432 23.899 -0.473 1933 10 27.611 3.752 1 0 NaN NaN 21.285 2.900 1933 11 20.889 3.488 0 0 20.889 3.488 13.949 2.021 1933 12 15.278 1.881 0 0 15.278 1.881 8.796 0.873 1934 1 16.000 2.893 0 0 16.000 2.893 9.677 2.044 1934 2 17.444 2.037 0 0 17.444 2.037 11.998 2.065 1934 3 24.444 6.940 1 0 NaN NaN 17.064 5.034 1934 4 24.889 4.030 0 0 24.889 4.030 18.859 3.473 1934 5 28.000 2.594 0 0 28.000 2.594 22.262 2.330 1934 6 27.000 -3.309 0 0 27.000 -3.309 22.345 -2.490 1934 7 33.389 -0.837 0 0 33.389 -0.837 29.415 0.664 1934 8 32.333 -0.903 0 0 32.333 -0.903 27.886 0.124 1934 9 29.667 -0.179 0 0 29.667 -0.179 24.662 0.291 1934 10 25.778 1.919 0 0 25.778 1.919 19.430 1.045 1934 11 19.778 2.377 0 0 19.778 2.377 12.917 0.990 1934 12 14.889 1.492 0 0 14.889 1.492 9.052 1.129 1935 1 13.556 0.449 0 0 13.556 0.449 7.721 0.089 1935 2 15.444 0.037 0 0 15.444 0.037 10.676 0.743 1935 3 15.333 -2.171 0 0 15.333 -2.171 9.629 -2.401 1935 4 20.722 -0.137 0 0 20.722 -0.137 15.121 -0.264 1935 5 22.944 -2.461 0 0 22.944 -2.461 18.437 -1.495 1935 6 31.778 1.469 0 0 31.778 1.469 25.768 0.933 1935 7 31.667 -2.559 0 0 31.667 -2.559 27.835 -0.917 1935 8 31.667 -1.569 0 0 31.667 -1.569 27.685 -0.077 1935 9 30.778 0.932 0 0 30.778 0.932 25.441 1.070 1935 10 23.111 -0.748 0 0 23.111 -0.748 17.671 -0.714 1935 11 16.444 -0.957 0 0 16.444 -0.957 10.718 -1.209 1935 12 14.000 0.603 0 0 14.000 0.603 8.433 0.510 1936 1 14.111 1.005 0 0 14.111 1.005 9.002 1.369 1936 2 14.222 -1.185 0 0 14.222 -1.185 9.496 -0.438 1936 3 19.889 2.385 0 0 19.889 2.385 13.373 1.343 1936 4 23.000 2.141 0 0 23.000 2.141 17.009 1.623 1936 5 26.889 1.483 0 0 26.889 1.483 21.197 1.265 1936 6 31.000 0.691 0 0 31.000 0.691 25.738 0.903 1936 7 33.222 -1.003 0 0 33.222 -1.003 29.500 0.748 1936 8 32.333 -0.903 0 0 32.333 -0.903 28.087 0.325 1936 9 29.444 -0.401 0 0 29.444 -0.401 24.304 -0.068 1936 10 23.389 -0.470 0 0 23.389 -0.470 18.550 0.165 1936 11 18.778 1.377 0 0 18.778 1.377 12.961 1.034 1936 12 13.389 -0.008 0 0 13.389 -0.008 7.543 -0.380 1937 1 6.056 -7.051 0 0 6.056 -7.051 1.851 -5.781 1937 2 13.333 -2.074 0 0 13.333 -2.074 8.585 -1.348 1937 3 16.556 -0.948 0 0 16.556 -0.948 11.061 -0.969 1937 4 21.889 1.030 0 0 21.889 1.030 14.967 -0.418 1937 5 25.722 0.316 0 0 25.722 0.316 20.755 0.823 1937 6 30.278 -0.031 0 0 30.278 -0.031 24.647 -0.189 1937 7 33.556 -0.670 0 0 33.556 -0.670 29.370 0.619 1937 8 34.000 0.764 0 0 34.000 0.764 28.560 0.798 1937 9 31.667 1.821 0 0 31.667 1.821 26.233 1.861 1937 10 26.333 2.475 0 0 26.333 2.475 19.982 1.598 1937 11 20.333 2.932 0 0 20.333 2.932 13.321 1.393 1937 12 NaN NaN NaN NaN NaN NaN 10.175 2.252 1938 1 NaN NaN NaN NaN NaN NaN 9.670 2.037 1938 2 NaN NaN NaN NaN NaN NaN 8.980 -0.953 1938 3 NaN NaN NaN NaN NaN NaN 10.180 -1.850 1938 4 NaN NaN NaN NaN NaN NaN 15.436 0.051 1938 5 NaN NaN NaN NaN NaN NaN 19.631 -0.301 1938 6 NaN NaN NaN NaN NaN NaN 24.247 -0.588 1938 7 NaN NaN NaN NaN NaN NaN 28.638 -0.114 1938 8 NaN NaN NaN NaN NaN NaN 27.664 -0.098 1938 9 NaN NaN NaN NaN NaN NaN 26.052 1.680 1938 10 NaN NaN NaN NaN NaN NaN 17.608 -0.776 1938 11 NaN NaN NaN NaN NaN NaN 10.320 -1.607