% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29173 % Primary Name: ALTADENA % Record Type: TAVG % Country: United States % State: CA % Latitude: 34.18220 +/- 0.00005 % Longitude: -118.13830 +/- 0.00005 % Elevation (m): 343.50 +/- 0.05 % # of Months: 84 % % IDs: coop - 40144 % ghcnd - USC00040144 % ncdc - 20001732 % nws - ADAC1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 03a8cbfdf57a788b49f6cc58cbb04228 % Raw Data Hash: e39ad9b578d299ec38d70d803726ff67 % Adj Data Hash: 37db86c2966926de5431b68c20d1dfb2 % % 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 1921 1 NaN NaN NaN NaN NaN NaN 8.161 -0.742 1921 2 NaN NaN NaN NaN NaN NaN 10.623 0.255 1921 3 NaN NaN NaN NaN NaN NaN 11.805 0.408 1921 4 NaN NaN NaN NaN NaN NaN 12.266 -1.160 1921 5 NaN NaN NaN NaN NaN NaN 13.896 -2.565 1921 6 NaN NaN NaN NaN NaN NaN 19.376 -0.544 1921 7 NaN NaN NaN NaN NaN NaN 24.276 0.879 1921 8 NaN NaN NaN NaN NaN NaN 22.713 -0.463 1921 9 NaN NaN NaN NaN NaN NaN 20.457 -0.722 1921 10 NaN NaN NaN NaN NaN NaN 17.675 0.647 1921 11 NaN NaN NaN NaN NaN NaN 13.675 1.134 1921 12 NaN NaN NaN NaN NaN NaN 10.776 1.377 1922 1 9.106 -1.022 0 0 9.106 -1.022 6.698 -2.205 1922 2 9.207 -2.386 0 0 9.207 -2.386 8.727 -1.641 1922 3 10.578 -2.044 1 0 NaN NaN 9.166 -2.231 1922 4 11.276 -3.375 0 0 11.276 -3.375 11.238 -2.187 1922 5 17.552 -0.134 1 0 NaN NaN 16.559 0.098 1922 6 19.942 -1.204 0 0 19.942 -1.204 20.187 0.267 1922 7 21.311 -3.311 0 0 21.311 -3.311 23.653 0.256 1922 8 23.279 -1.123 0 0 23.279 -1.123 23.180 0.004 1922 9 23.441 1.037 1 0 NaN NaN 23.296 2.118 1922 10 17.085 -1.168 0 0 17.085 -1.168 16.453 -0.575 1922 11 13.297 -0.470 0 0 13.297 -0.470 10.540 -2.001 1922 12 12.376 1.751 0 0 12.376 1.751 9.888 0.489 1923 1 12.519 2.391 1 0 NaN NaN 9.372 0.469 1923 2 11.973 0.380 0 0 11.973 0.380 9.536 -0.832 1923 3 13.994 1.372 0 0 13.994 1.372 11.742 0.345 1923 4 12.343 -2.308 0 0 12.343 -2.308 12.188 -1.237 1923 5 16.673 -1.014 0 0 16.673 -1.014 16.577 0.116 1923 6 16.720 -4.425 0 0 16.720 -4.425 16.694 -3.226 1923 7 21.748 -2.874 0 0 21.748 -2.874 22.522 -0.875 1923 8 21.415 -2.987 0 0 21.415 -2.987 21.840 -1.336 1923 9 20.983 -1.421 1 0 NaN NaN 21.175 -0.004 1923 10 17.853 -0.401 0 0 17.853 -0.401 16.274 -0.754 1923 11 17.397 3.630 1 0 NaN NaN 14.072 1.531 1923 12 12.507 1.882 0 0 12.507 1.882 8.918 -0.481 1924 1 12.289 2.160 0 0 12.289 2.160 8.940 0.037 1924 2 15.672 4.079 0 0 15.672 4.079 13.428 3.060 1924 3 11.326 -1.296 0 0 11.326 -1.296 9.753 -1.644 1924 4 13.225 -1.426 0 0 13.225 -1.426 13.122 -0.303 1924 5 17.092 -0.595 0 0 17.092 -0.595 18.008 1.547 1924 6 20.408 -0.737 0 0 20.408 -0.737 20.374 0.454 1924 7 21.173 -3.450 0 0 21.173 -3.450 22.288 -1.109 1924 8 21.347 -3.055 0 0 21.347 -3.055 21.801 -1.375 1924 9 22.485 0.081 0 0 22.485 0.081 21.340 0.162 1924 10 16.516 -1.738 0 0 16.516 -1.738 14.690 -2.338 1924 11 16.887 3.120 0 0 16.887 3.120 12.696 0.154 1924 12 11.487 0.863 0 0 11.487 0.863 8.080 -1.319 1925 1 12.521 2.392 0 0 12.521 2.392 9.122 0.219 1925 2 12.930 1.337 0 0 12.930 1.337 11.540 1.171 1925 3 13.626 1.004 0 0 13.626 1.004 11.577 0.181 1925 4 13.967 -0.684 0 0 13.967 -0.684 13.134 -0.291 1925 5 15.803 -1.883 0 0 15.803 -1.883 16.369 -0.092 1925 6 NaN NaN NaN NaN NaN NaN 19.784 -0.136 1925 7 NaN NaN NaN NaN NaN NaN 23.996 0.599 1925 8 NaN NaN NaN NaN NaN NaN 21.498 -1.678 1925 9 NaN NaN NaN NaN NaN NaN 19.130 -2.048 1925 10 17.100 -1.154 0 0 17.100 -1.154 15.619 -1.409 1925 11 15.137 1.370 0 0 15.137 1.370 12.043 -0.499 1925 12 15.616 4.992 0 0 15.616 4.992 10.920 1.521 1926 1 13.202 3.073 0 0 13.202 3.073 9.305 0.402 1926 2 14.682 3.089 0 0 14.682 3.089 11.961 1.593 1926 3 15.150 2.528 0 0 15.150 2.528 13.669 2.273 1926 4 16.047 1.396 0 0 16.047 1.396 15.427 2.002 1926 5 17.219 -0.467 0 0 17.219 -0.467 17.638 1.177 1926 6 NaN NaN NaN NaN NaN NaN 21.030 1.110 1926 7 NaN NaN NaN NaN NaN NaN 23.319 -0.078 1926 8 NaN NaN NaN NaN NaN NaN 23.009 -0.167 1926 9 NaN NaN NaN NaN NaN NaN 19.419 -1.760 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 11.064 0.935 0 0 11.064 0.935 9.300 0.397 1927 2 11.366 -0.228 0 0 11.366 -0.228 10.600 0.232 1927 3 11.971 -0.651 0 0 11.971 -0.651 10.305 -1.092 1927 4 13.732 -0.919 0 0 13.732 -0.919 12.847 -0.578 1927 5 17.237 -0.449 0 0 17.237 -0.449 16.274 -0.188 1927 6 18.572 -2.574 0 0 18.572 -2.574 18.813 -1.107 1927 7 23.666 -0.956 0 0 23.666 -0.956 23.978 0.581 1927 8 NaN NaN NaN NaN NaN NaN 22.013 -1.163 1927 9 20.032 -2.372 0 0 20.032 -2.372 19.071 -2.108 1927 10 19.458 1.204 0 0 19.458 1.204 17.675 0.647 1927 11 16.468 2.701 0 0 16.468 2.701 13.437 0.895 1927 12 10.708 0.083 0 0 10.708 0.083 8.413 -0.986 1928 1 13.540 3.412 0 0 13.540 3.412 10.215 1.312 1928 2 12.690 1.096 0 0 12.690 1.096 11.132 0.764 1928 3 13.829 1.207 0 0 13.829 1.207 12.673 1.277 1928 4 15.675 1.024 0 0 15.675 1.024 14.226 0.801 1928 5 17.405 -0.282 0 0 17.405 -0.282 18.178 1.717 1928 6 18.097 -3.049 0 0 18.097 -3.049 19.404 -0.516 1928 7 21.611 -3.011 0 0 21.611 -3.011 22.927 -0.470 1928 8 22.131 -2.271 0 0 22.131 -2.271 22.623 -0.553 1928 9 23.648 1.244 0 0 23.648 1.244 21.940 0.761 1928 10 17.271 -0.983 0 0 17.271 -0.983 15.864 -1.164 1928 11 15.118 1.351 0 0 15.118 1.351 12.277 -0.265 1928 12 12.031 1.406 0 0 12.031 1.406 8.538 -0.861 1929 1 10.395 0.267 0 0 10.395 0.267 7.719 -1.184 1929 2 9.930 -1.663 0 0 9.930 -1.663 8.444 -1.924 1929 3 12.350 -0.272 0 0 12.350 -0.272 10.489 -0.907 1929 4 12.338 -2.313 0 0 12.338 -2.313 11.473 -1.953 1929 5 17.574 -0.112 0 0 17.574 -0.112 17.412 0.951 1929 6 19.460 -1.685 0 0 19.460 -1.685 19.855 -0.065 1929 7 22.921 -1.701 0 0 22.921 -1.701 24.033 0.636 1929 8 25.610 1.208 0 0 25.610 1.208 24.847 1.671 1929 9 21.195 -1.209 0 0 21.195 -1.209 21.318 0.139 1929 10 20.447 2.193 0 0 20.447 2.193 19.003 1.975 1929 11 17.078 3.311 0 0 17.078 3.311 14.260 1.718 1929 12 15.559 4.934 0 0 15.559 4.934 12.339 2.940 1930 1 NaN NaN NaN NaN NaN NaN 8.671 -0.232 1930 2 NaN NaN NaN NaN NaN NaN 12.602 2.233 1930 3 NaN NaN NaN NaN NaN NaN 12.214 0.818 1930 4 NaN NaN NaN NaN NaN NaN 14.955 1.530 1930 5 NaN NaN NaN NaN NaN NaN 14.557 -1.904 1930 6 NaN NaN NaN NaN NaN NaN 20.127 0.207 1930 7 NaN NaN NaN NaN NaN NaN 24.157 0.760 1930 8 NaN NaN NaN NaN NaN NaN 23.417 0.241 1930 9 NaN NaN NaN NaN NaN NaN 19.257 -1.921 1930 10 NaN NaN NaN NaN NaN NaN 17.018 -0.010 1930 11 NaN NaN NaN NaN NaN NaN 13.754 1.213 1930 12 NaN NaN NaN NaN NaN NaN 9.307 -0.092