% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35026 % Primary Name: STIRLING CITY R S % Record Type: TAVG % Country: United States % State: CA % Latitude: 39.90420 +/- 0.00005 % Longitude: -121.52810 +/- 0.00005 % Elevation (m): 1072.90 +/- 0.05 % # of Months: 135 % % Alternate Names: STIRLING CITY RNGR STN % STIRLING CITY RS % % IDs: coop - 48544 % ghcnd - USC00048544 % ncdc - 20002997 % nws - STRC1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: e6ff258d7f604629743a61890fde10de % Raw Data Hash: 03cbd651894c5485a748e1cd4ffa36c3 % Adj Data Hash: cd01e140b650729646f4a9ed3f25020f % % 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 1902 11 NaN NaN NaN NaN NaN NaN 5.734 -1.323 1902 12 NaN NaN NaN NaN NaN NaN 3.808 0.345 1903 1 NaN NaN NaN NaN NaN NaN 2.958 0.174 1903 2 NaN NaN NaN NaN NaN NaN 0.487 -4.199 1903 3 NaN NaN NaN NaN NaN NaN 4.741 -1.277 1903 4 NaN NaN NaN NaN NaN NaN 7.327 -1.422 1903 5 NaN NaN NaN NaN NaN NaN 13.687 0.552 1903 6 NaN NaN NaN NaN NaN NaN 18.038 0.528 1903 7 NaN NaN NaN NaN NaN NaN 18.963 -2.386 1903 8 NaN NaN NaN NaN NaN NaN 19.785 -0.738 1903 9 NaN NaN NaN NaN NaN NaN 17.449 -0.334 1903 10 NaN NaN NaN NaN NaN NaN 14.229 1.602 1903 11 10.044 1.466 1 0 NaN NaN 8.360 1.303 1903 12 8.620 3.636 1 0 NaN NaN 3.807 0.343 1904 1 NaN NaN NaN NaN NaN NaN 2.251 -0.534 1904 2 NaN NaN NaN NaN NaN NaN 4.946 0.260 1904 3 NaN NaN NaN NaN NaN NaN 5.256 -0.761 1904 4 NaN NaN NaN NaN NaN NaN 8.645 -0.105 1904 5 NaN NaN NaN NaN NaN NaN 15.053 1.918 1904 6 NaN NaN NaN NaN NaN NaN 18.449 0.940 1904 7 NaN NaN NaN NaN NaN NaN 20.923 -0.426 1904 8 NaN NaN NaN NaN NaN NaN 21.401 0.878 1904 9 NaN NaN NaN NaN NaN NaN 18.400 0.617 1904 10 NaN NaN NaN NaN NaN NaN 12.210 -0.418 1904 11 NaN NaN NaN NaN NaN NaN 7.994 0.937 1904 12 NaN NaN NaN NaN NaN NaN 3.258 -0.206 1905 1 NaN NaN NaN NaN NaN NaN 4.719 1.934 1905 2 NaN NaN NaN NaN NaN NaN 5.552 0.865 1905 3 NaN NaN NaN NaN NaN NaN 7.267 1.249 1905 4 NaN NaN NaN NaN NaN NaN 9.744 0.995 1905 5 NaN NaN NaN NaN NaN NaN 11.328 -1.806 1905 6 NaN NaN NaN NaN NaN NaN 16.357 -1.152 1905 7 NaN NaN NaN NaN NaN NaN 21.871 0.522 1905 8 NaN NaN NaN NaN NaN NaN 20.653 0.130 1905 9 NaN NaN NaN NaN NaN NaN 17.623 -0.161 1905 10 15.185 1.037 0 0 16.833 2.685 11.828 -0.799 1905 11 9.610 1.032 0 0 11.466 2.888 6.258 -0.799 1905 12 4.924 -0.060 0 0 6.453 1.469 1.379 -2.084 1906 1 NaN NaN NaN NaN NaN NaN 3.921 1.136 1906 2 NaN NaN NaN NaN NaN NaN 6.857 2.171 1906 3 6.535 -1.003 0 0 7.228 -0.310 5.286 -0.731 1906 4 9.592 -0.679 0 0 10.046 -0.225 9.257 0.507 1906 5 11.381 -3.275 0 0 11.878 -2.777 11.737 -1.398 1906 6 14.704 -4.327 0 0 15.389 -3.641 15.207 -2.302 1906 7 23.026 0.156 0 0 23.695 0.825 23.248 1.899 1906 8 21.298 -0.746 0 0 21.927 -0.117 21.103 0.580 1906 9 17.108 -2.196 1 0 NaN NaN 17.606 -0.177 1906 10 14.121 -0.027 0 0 15.769 1.620 13.551 0.924 1906 11 6.541 -2.037 1 0 NaN NaN 6.051 -1.006 1906 12 5.308 0.324 0 0 6.837 1.853 4.197 0.734 1907 1 0.718 -3.588 0 0 1.873 -2.433 1.343 -1.441 1907 2 8.217 2.009 1 0 NaN NaN 8.199 3.513 1907 3 2.754 -4.785 0 0 3.446 -4.092 3.944 -2.073 1907 4 10.892 0.621 0 0 11.346 1.075 10.286 1.537 1907 5 12.734 -1.922 0 0 13.231 -1.424 12.561 -0.574 1907 6 15.428 -3.602 0 0 16.114 -2.916 14.748 -2.762 1907 7 19.063 -3.807 1 0 NaN NaN 20.178 -1.171 1907 8 18.998 -3.046 0 0 19.627 -2.417 19.011 -1.512 1907 9 17.493 -1.811 0 0 18.512 -0.793 15.998 -1.786 1907 10 14.123 -0.026 0 0 15.770 1.622 14.064 1.436 1907 11 8.308 -0.270 0 0 10.164 1.586 7.809 0.752 1907 12 3.063 -1.921 0 0 4.592 -0.392 4.273 0.810 1908 1 4.285 -0.020 0 0 5.440 1.135 3.677 0.892 1908 2 4.602 -1.606 1 0 NaN NaN 4.462 -0.225 1908 3 NaN NaN NaN NaN NaN NaN 6.050 0.033 1908 4 11.167 0.896 0 0 11.621 1.350 10.394 1.644 1908 5 10.116 -4.539 0 0 10.614 -4.042 10.363 -2.772 1908 6 16.330 -2.700 0 0 17.016 -2.015 15.437 -2.072 1908 7 22.353 -0.517 0 0 23.022 0.152 23.385 2.036 1908 8 21.450 -0.594 0 0 22.079 0.035 20.774 0.251 1908 9 17.105 -2.199 0 0 18.123 -1.181 17.711 -0.072 1908 10 10.897 -3.252 0 0 12.545 -1.604 11.137 -1.491 1908 11 9.872 1.294 0 0 11.728 3.150 7.669 0.612 1908 12 4.489 -0.495 0 0 6.018 1.034 1.722 -1.741 1909 1 3.358 -0.948 0 0 4.513 0.207 4.714 1.930 1909 2 2.018 -4.189 0 0 2.961 -3.246 4.158 -0.528 1909 3 3.898 -3.640 0 0 4.591 -2.947 4.454 -1.563 1909 4 10.372 0.101 0 0 10.826 0.555 9.905 1.156 1909 5 12.945 -1.710 0 0 13.443 -1.213 12.232 -0.903 1909 6 19.472 0.441 0 0 20.157 1.127 17.183 -0.326 1909 7 19.708 -3.162 0 0 20.377 -2.493 19.990 -1.359 1909 8 21.171 -0.873 0 0 21.800 -0.244 20.224 -0.299 1909 9 17.598 -1.706 0 0 18.617 -0.688 17.741 -0.042 1909 10 NaN NaN NaN NaN NaN NaN 12.516 -0.111 1909 11 NaN NaN NaN NaN NaN NaN 6.980 -0.077 1909 12 NaN NaN NaN NaN NaN NaN 1.499 -1.964 1910 1 NaN NaN NaN NaN NaN NaN 0.293 -2.491 1910 2 2.602 -3.605 0 0 3.545 -2.662 3.142 -1.545 1910 3 8.082 0.544 0 0 8.775 1.237 8.294 2.276 1910 4 12.833 2.563 0 0 13.287 3.017 11.165 2.415 1910 5 14.713 0.057 0 0 15.210 0.555 15.204 2.070 1910 6 16.005 -3.025 0 0 16.691 -2.340 16.585 -0.925 1910 7 23.616 0.746 0 0 24.285 1.415 22.078 0.729 1910 8 20.221 -1.823 0 0 20.850 -1.194 20.346 -0.177 1910 9 18.047 -1.258 0 0 19.065 -0.240 17.093 -0.690 1910 10 13.595 -0.553 0 0 15.243 1.095 13.704 1.077 1910 11 9.207 0.629 0 0 11.063 2.485 8.125 1.068 1910 12 9.944 4.959 0 0 11.473 6.489 5.115 1.652 1911 1 6.710 2.404 0 0 7.865 3.559 3.267 0.482 1911 2 2.011 -4.197 0 0 2.954 -3.253 1.542 -3.144 1911 3 10.132 2.594 0 4 9.600 2.062 6.599 0.581 1911 4 10.072 -0.199 0 0 9.723 -0.548 7.714 -1.036 1911 5 14.274 -0.381 0 0 13.892 -0.764 10.727 -2.408 1911 6 19.603 0.573 0 0 19.077 0.046 16.860 -0.650 1911 7 23.481 0.611 0 0 22.967 0.097 22.163 0.814 1911 8 19.839 -2.205 0 0 19.356 -2.688 18.789 -1.734 1911 9 16.368 -2.936 0 0 15.586 -3.718 14.832 -2.951 1911 10 14.079 -0.069 0 0 12.813 -1.335 11.672 -0.956 1911 11 9.657 1.079 0 0 8.231 -0.347 6.800 -0.257 1911 12 5.232 0.248 0 0 4.058 -0.926 1.999 -1.464 1912 1 4.151 -0.154 0 0 3.264 -1.042 3.722 0.938 1912 2 7.041 0.833 0 0 6.316 0.109 5.999 1.313 1912 3 7.729 0.191 0 0 7.197 -0.341 4.186 -1.832 1912 4 9.075 -1.196 0 0 8.726 -1.544 6.208 -2.542 1912 5 12.934 -1.722 0 0 12.552 -2.104 12.182 -0.953 1912 6 19.867 0.836 0 0 19.340 0.310 16.121 -1.389 1912 7 21.597 -1.273 0 0 21.083 -1.787 19.799 -1.550 1912 8 20.215 -1.829 0 0 19.732 -2.312 18.559 -1.964 1912 9 17.603 -1.701 0 0 16.821 -2.483 16.157 -1.626 1912 10 12.797 -1.352 0 0 11.531 -2.617 10.377 -2.250 1912 11 9.632 1.054 0 0 8.206 -0.372 7.257 0.200 1912 12 6.729 1.745 0 0 5.555 0.570 3.082 -0.381 1913 1 2.953 -1.353 0 0 2.066 -2.240 0.852 -1.932 1913 2 6.477 0.270 0 0 5.752 -0.455 3.868 -0.818 1913 3 5.690 -1.848 0 0 5.158 -2.380 4.598 -1.419 1913 4 8.281 -1.990 0 0 7.932 -2.338 8.141 -0.609 1913 5 14.582 -0.073 0 0 14.200 -0.455 13.266 0.132 1913 6 18.242 -0.789 0 0 17.715 -1.315 15.280 -2.230 1913 7 23.031 0.161 0 0 22.517 -0.353 20.456 -0.893 1913 8 25.853 3.809 0 0 25.370 3.326 21.071 0.548 1913 9 21.447 2.142 0 0 20.665 1.360 18.633 0.850 1913 10 18.313 4.164 0 0 17.047 2.899 13.436 0.808 1913 11 10.310 1.732 0 0 8.884 0.306 6.998 -0.059 1913 12 NaN NaN NaN NaN NaN NaN 2.763 -0.700 1914 1 6.135 1.830 0 0 5.248 0.942 3.454 0.669 1914 2 7.387 1.180 0 0 6.663 0.456 4.846 0.159 1914 3 NaN NaN NaN NaN NaN NaN 8.475 2.457 1914 4 NaN NaN NaN NaN NaN NaN 9.155 0.405 1914 5 16.937 2.281 0 0 16.555 1.899 14.188 1.053 1914 6 18.752 -0.279 0 0 18.225 -0.805 15.958 -1.551 1914 7 21.956 -0.913 0 0 21.443 -1.427 20.992 -0.357 1914 8 23.476 1.432 0 0 22.993 0.949 20.864 0.341 1914 9 19.125 -0.179 0 0 18.343 -0.961 16.654 -1.129 1914 10 14.669 0.521 0 0 13.404 -0.745 12.537 -0.091 1914 11 13.293 4.715 0 0 11.868 3.290 8.529 1.472 1914 12 3.100 -1.884 0 0 1.925 -3.059 0.850 -2.613 1915 1 5.290 0.985 0 0 4.403 0.097 2.419 -0.366 1915 2 4.450 -1.757 0 0 3.725 -2.482 4.331 -0.355 1915 3 9.974 2.436 0 0 9.442 1.903 7.198 1.181 1915 4 10.880 0.609 0 0 10.531 0.261 9.392 0.642 1915 5 11.202 -3.454 0 0 10.820 -3.836 10.681 -2.453 1915 6 18.052 -0.979 0 0 17.525 -1.505 16.278 -1.231 1915 7 21.997 -0.873 0 0 21.483 -1.387 20.589 -0.760 1915 8 22.753 0.709 0 0 22.270 0.226 21.139 0.616 1915 9 19.823 0.519 0 0 19.041 -0.263 17.032 -0.752 1915 10 15.692 1.544 0 0 14.426 0.278 14.117 1.490 1915 11 10.573 1.995 0 0 9.148 0.570 6.724 -0.333 1915 12 5.619 0.635 0 0 4.445 -0.539 3.713 0.250 1916 1 NaN NaN NaN NaN NaN NaN -0.514 -3.298 1916 2 NaN NaN NaN NaN NaN NaN 6.427 1.741 1916 3 NaN NaN NaN NaN NaN NaN 7.362 1.345 1916 4 NaN NaN NaN NaN NaN NaN 10.008 1.259 1916 5 NaN NaN NaN NaN NaN NaN 11.480 -1.655 1916 6 16.685 -2.345 0 0 16.158 -2.872 16.026 -1.484 1916 7 19.434 -3.436 0 0 18.920 -3.950 19.984 -1.364 1916 8 20.660 -1.384 0 0 20.177 -1.867 18.961 -1.562 1916 9 17.833 -1.471 1 0 NaN NaN 17.136 -0.647 1916 10 11.183 -2.966 0 0 9.917 -4.231 10.210 -2.417 1916 11 NaN NaN NaN NaN NaN NaN 5.404 -1.653 1916 12 4.229 -0.755 0 0 3.055 -1.930 1.511 -1.952 1917 1 4.613 0.307 0 0 3.726 -0.580 -0.380 -3.165 1917 2 4.836 -1.372 0 0 4.111 -2.096 3.680 -1.006 1917 3 3.616 -3.922 0 0 3.084 -4.454 2.695 -3.322 1917 4 4.743 -5.527 0 0 4.395 -5.876 7.441 -1.309 1917 5 10.735 -3.921 1 0 NaN NaN 10.467 -2.667 1917 6 20.820 1.790 1 0 NaN NaN 17.238 -0.271 1917 7 23.529 0.659 0 0 23.015 0.146 22.986 1.637 1917 8 16.723 -5.321 1 0 NaN NaN 21.037 0.514 1917 9 18.213 -1.091 0 0 17.431 -1.873 17.622 -0.161 1917 10 19.426 5.277 0 0 18.160 4.012 15.343 2.716 1917 11 NaN NaN NaN NaN NaN NaN 8.161 1.104 1917 12 NaN NaN NaN NaN NaN NaN 6.192 2.729 1918 1 NaN NaN NaN NaN NaN NaN 4.305 1.520 1918 2 6.794 0.586 1 0 NaN NaN 3.807 -0.880 1918 3 9.271 1.733 0 0 8.739 1.201 5.103 -0.914 1918 4 16.500 6.229 0 0 16.151 5.881 8.640 -0.110 1918 5 19.274 4.619 1 0 NaN NaN 11.522 -1.612 1918 6 NaN NaN NaN NaN NaN NaN 20.491 2.982 1918 7 NaN NaN NaN NaN NaN NaN 20.481 -0.867 1918 8 NaN NaN NaN NaN NaN NaN 19.626 -0.897 1918 9 NaN NaN NaN NaN NaN NaN 17.357 -0.426 1918 10 NaN NaN NaN NaN NaN NaN 13.711 1.083 1918 11 NaN NaN NaN NaN NaN NaN 5.958 -1.099 1918 12 NaN NaN NaN NaN NaN NaN 2.048 -1.416 1919 1 NaN NaN NaN NaN NaN NaN 3.320 0.535 1919 2 NaN NaN NaN NaN NaN NaN 3.148 -1.538 1919 3 NaN NaN NaN NaN NaN NaN 4.255 -1.762 1919 4 NaN NaN NaN NaN NaN NaN 9.536 0.787 1919 5 NaN NaN NaN NaN NaN NaN 15.236 2.101