% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29108 % Primary Name: TOPANGA CANYON WOODLAN % Record Type: TAVG % Country: United States % State: CA % Latitude: 34.13330 +/- 0.00005 % Longitude: -118.31670 +/- 0.00005 % Elevation (m): 396.85 +/- 0.15 % # of Months: 25 % % Alternate Names: Missing Station ID - 48963 % TOPANGA CANYON WOODL % % IDs: coop - 48963 % ghcnd - USC00048963 % ncdc - 20001725 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 7c7e1548e0f1f0431f0edb35ec63e360 % Raw Data Hash: 673d8d2ed3d10df321e618c32df5891a % Adj Data Hash: 939abb13ad251200c906ef6d85ac206d % % 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 1926 10 NaN NaN NaN NaN NaN NaN 17.589 0.561 1926 11 NaN NaN NaN NaN NaN NaN 14.891 2.350 1926 12 NaN NaN NaN NaN NaN NaN 8.188 -1.211 1927 1 NaN NaN NaN NaN NaN NaN 9.300 0.397 1927 2 NaN NaN NaN NaN NaN NaN 10.600 0.232 1927 3 NaN NaN NaN NaN NaN NaN 10.305 -1.092 1927 4 NaN NaN NaN NaN NaN NaN 12.847 -0.578 1927 5 NaN NaN NaN NaN NaN NaN 16.274 -0.188 1927 6 NaN NaN NaN NaN NaN NaN 18.813 -1.107 1927 7 NaN NaN NaN NaN NaN NaN 23.978 0.581 1927 8 NaN NaN NaN NaN NaN NaN 22.013 -1.163 1927 9 NaN NaN NaN NaN NaN NaN 19.071 -2.108 1927 10 13.433 -4.514 1 0 NaN NaN 17.675 0.647 1927 11 NaN NaN NaN NaN NaN NaN 13.437 0.895 1927 12 11.523 1.205 0 0 11.523 1.205 8.413 -0.986 1928 1 14.460 4.638 0 0 14.460 4.638 10.215 1.312 1928 2 14.119 2.832 0 0 14.119 2.832 11.132 0.764 1928 3 NaN NaN NaN NaN NaN NaN 12.673 1.277 1928 4 NaN NaN NaN NaN NaN NaN 14.226 0.801 1928 5 NaN NaN NaN NaN NaN NaN 18.178 1.717 1928 6 18.763 -2.076 0 0 18.763 -2.076 19.404 -0.516 1928 7 21.502 -2.815 0 0 21.502 -2.815 22.927 -0.470 1928 8 20.870 -3.226 1 0 NaN NaN 22.623 -0.553 1928 9 NaN NaN NaN NaN NaN NaN 21.940 0.761 1928 10 NaN NaN NaN NaN NaN NaN 15.864 -1.164 1928 11 NaN NaN NaN NaN NaN NaN 12.277 -0.265 1928 12 NaN NaN NaN NaN NaN NaN 8.538 -0.861 1929 1 NaN NaN NaN NaN NaN NaN 7.719 -1.184 1929 2 NaN NaN NaN NaN NaN NaN 8.444 -1.924 1929 3 NaN NaN NaN NaN NaN NaN 10.489 -0.907 1929 4 NaN NaN NaN NaN NaN NaN 11.473 -1.953 1929 5 NaN NaN NaN NaN NaN NaN 17.412 0.951 1929 6 NaN NaN NaN NaN NaN NaN 19.855 -0.065 1929 7 22.848 -1.468 0 0 22.848 -1.468 24.033 0.636 1929 8 23.879 -0.216 0 0 23.879 -0.216 24.847 1.671 1929 9 21.063 -1.035 0 0 21.063 -1.035 21.318 0.139 1929 10 21.279 3.331 0 0 21.279 3.331 19.003 1.975 1929 11 18.868 5.408 0 0 18.868 5.408 14.260 1.718 1929 12 15.806 5.488 0 0 15.806 5.488 12.339 2.940 1930 1 11.937 2.115 0 0 11.937 2.115 8.671 -0.232 1930 2 13.602 2.314 1 0 NaN NaN 12.602 2.233 1930 3 13.137 0.821 0 0 13.137 0.821 12.214 0.818 1930 4 15.828 1.483 0 0 15.828 1.483 14.955 1.530 1930 5 16.044 -1.337 0 0 16.044 -1.337 14.557 -1.904 1930 6 18.885 -1.954 0 0 18.885 -1.954 20.127 0.207 1930 7 22.650 -1.666 0 0 22.650 -1.666 24.157 0.760 1930 8 22.105 -1.991 0 0 22.105 -1.991 23.417 0.241 1930 9 18.045 -4.053 0 0 18.045 -4.053 19.257 -1.921 1930 10 17.313 -0.635 0 0 17.313 -0.635 17.018 -0.010 1930 11 15.270 1.809 0 0 15.270 1.809 13.754 1.213 1930 12 10.831 0.513 1 0 NaN NaN 9.307 -0.092 1931 1 NaN NaN NaN NaN NaN NaN 9.963 1.060 1931 2 NaN NaN NaN NaN NaN NaN 11.538 1.170 1931 3 NaN NaN NaN NaN NaN NaN 13.828 2.432 1931 4 NaN NaN NaN NaN NaN NaN 15.922 2.496 1931 5 NaN NaN NaN NaN NaN NaN 19.176 2.715 1931 6 NaN NaN NaN NaN NaN NaN 19.754 -0.166 1931 7 NaN NaN NaN NaN NaN NaN 26.698 3.301 1931 8 NaN NaN NaN NaN NaN NaN 24.832 1.656 1931 9 NaN NaN NaN NaN NaN NaN 20.551 -0.628 1931 10 NaN NaN NaN NaN NaN NaN 17.243 0.214 1931 11 NaN NaN NaN NaN NaN NaN 10.652 -1.890 1931 12 NaN NaN NaN NaN NaN NaN 7.588 -1.811