% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28702 % Primary Name: PALO ALTO % Record Type: TAVG % Country: United States % State: MS % Latitude: 33.65000 +/- 0.00500 % Longitude: -88.85000 +/- 0.00500 % Elevation (m): 76.20 +/- 0.15 % # of Months: 114 % % Alternate Names: Missing Station ID - 226670 % % IDs: coop - 226670 % ghcnd - USC00226670 % ncdc - 12010051 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: c2bac8e694f2e5b1b262f632cdf87f0a % Raw Data Hash: 1eb401f8377bb4a1090ac796e52b65a8 % Adj Data Hash: 48437d4b4a49562e75e1ffad576820ef % % 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 1892 1 NaN NaN NaN NaN NaN NaN 3.297 -3.295 1892 2 NaN NaN NaN NaN NaN NaN 10.753 2.125 1892 3 NaN NaN NaN NaN NaN NaN 10.021 -2.716 1892 4 NaN NaN NaN NaN NaN NaN 18.004 0.408 1892 5 NaN NaN NaN NaN NaN NaN 21.148 -0.560 1892 6 NaN NaN NaN NaN NaN NaN 25.408 -0.088 1892 7 NaN NaN NaN NaN NaN NaN 25.658 -1.462 1892 8 NaN NaN NaN NaN NaN NaN 25.655 -1.052 1892 9 NaN NaN NaN NaN NaN NaN 21.799 -2.091 1892 10 NaN NaN NaN NaN NaN NaN 17.554 0.143 1892 11 NaN NaN NaN NaN NaN NaN 11.783 -0.159 1892 12 NaN NaN NaN NaN NaN NaN 7.132 -0.935 1893 1 4.704 -2.383 0 0 4.704 -2.383 4.198 -2.394 1893 2 11.134 2.012 0 0 11.134 2.012 10.261 1.633 1893 3 11.416 -1.816 0 0 11.416 -1.816 11.562 -1.175 1893 4 19.815 1.724 0 0 19.815 1.724 19.591 1.995 1893 5 21.774 -0.429 0 0 21.774 -0.429 20.797 -0.911 1893 6 25.648 -0.343 0 0 25.648 -0.343 24.832 -0.664 1893 7 27.975 0.361 0 0 27.975 0.361 27.060 -0.059 1893 8 26.308 -0.894 0 0 26.308 -0.894 25.618 -1.089 1893 9 22.519 -1.866 0 0 22.519 -1.866 23.133 -0.757 1893 10 15.842 -2.063 0 0 15.842 -2.063 15.600 -1.811 1893 11 10.667 -1.771 0 0 10.667 -1.771 11.005 -0.938 1893 12 7.993 -0.569 0 0 7.993 -0.569 8.935 0.868 1894 1 8.961 1.874 0 0 8.961 1.874 8.386 1.794 1894 2 7.684 -1.438 0 0 7.684 -1.438 7.012 -1.615 1894 3 14.265 1.034 0 0 14.265 1.034 13.980 1.244 1894 4 18.185 0.094 0 0 18.185 0.094 18.057 0.460 1894 5 21.326 -0.877 0 0 21.326 -0.877 21.503 -0.205 1894 6 25.630 -0.361 0 0 25.630 -0.361 24.649 -0.847 1894 7 25.735 -1.879 0 0 25.735 -1.879 25.428 -1.691 1894 8 25.019 -2.184 0 0 25.019 -2.184 25.200 -1.507 1894 9 23.537 -0.848 0 0 23.537 -0.848 23.830 -0.060 1894 10 16.649 -1.257 0 0 16.649 -1.257 16.557 -0.854 1894 11 10.722 -1.715 0 0 10.722 -1.715 10.393 -1.550 1894 12 8.226 -0.336 0 0 8.226 -0.336 8.425 0.359 1895 1 4.815 -2.272 0 0 4.815 -2.272 5.194 -1.398 1895 2 3.274 -5.848 0 0 3.274 -5.848 2.040 -6.587 1895 3 12.670 -0.561 0 0 12.670 -0.561 12.375 -0.362 1895 4 18.259 0.168 0 0 18.259 0.168 17.684 0.087 1895 5 21.593 -0.611 0 0 21.593 -0.611 20.514 -1.195 1895 6 25.833 -0.158 0 0 25.833 -0.158 25.422 -0.074 1895 7 NaN NaN NaN NaN NaN NaN 26.464 -0.655 1895 8 NaN NaN NaN NaN NaN NaN 26.401 -0.307 1895 9 NaN NaN NaN NaN NaN NaN 25.987 2.097 1895 10 NaN NaN NaN NaN NaN NaN 14.541 -2.870 1895 11 11.833 -0.604 0 0 11.833 -0.604 11.610 -0.333 1895 12 8.244 -0.318 0 0 8.244 -0.318 7.415 -0.652 1896 1 6.183 -0.904 0 0 6.183 -0.904 5.755 -0.836 1896 2 8.889 -0.233 0 0 8.889 -0.233 8.230 -0.398 1896 3 10.681 -2.551 0 0 10.681 -2.551 11.054 -1.683 1896 4 20.796 2.705 0 0 20.796 2.705 20.233 2.637 1896 5 24.839 2.636 0 0 24.839 2.636 24.257 2.549 1896 6 25.574 -0.417 0 0 25.574 -0.417 25.080 -0.416 1896 7 28.781 1.167 0 0 28.781 1.167 27.811 0.692 1896 8 29.982 2.780 0 0 29.982 2.780 27.907 1.199 1896 9 25.333 0.948 0 0 25.333 0.948 24.038 0.148 1896 10 17.688 -0.217 0 0 17.688 -0.217 16.748 -0.663 1896 11 13.570 1.133 0 0 13.570 1.133 13.666 1.723 1896 12 8.722 0.161 0 0 8.722 0.161 8.669 0.603 1897 1 5.520 -1.567 0 0 5.520 -1.567 4.795 -1.797 1897 2 10.218 1.096 0 0 10.218 1.096 10.004 1.377 1897 3 15.204 1.972 0 0 15.204 1.972 15.750 3.013 1897 4 17.315 -0.776 0 0 17.315 -0.776 17.169 -0.427 1897 5 21.344 -0.859 0 0 21.344 -0.859 20.042 -1.667 1897 6 NaN NaN NaN NaN NaN NaN 27.195 1.699 1897 7 NaN NaN NaN NaN NaN NaN 27.550 0.430 1897 8 27.742 0.540 0 0 27.742 0.540 26.475 -0.232 1897 9 26.352 1.967 0 0 26.352 1.967 25.098 1.208 1897 10 20.896 2.991 0 0 20.896 2.991 19.392 1.981 1897 11 12.685 0.248 0 0 12.685 0.248 12.713 0.770 1897 12 7.768 -0.794 0 0 7.768 -0.794 8.269 0.202 1898 1 10.753 3.666 0 0 10.753 3.666 9.250 2.658 1898 2 8.274 -0.848 0 0 8.274 -0.848 7.986 -0.641 1898 3 15.717 2.485 0 0 15.717 2.485 14.877 2.140 1898 4 14.162 -3.930 0 0 14.162 -3.930 14.832 -2.765 1898 5 23.732 1.529 0 0 23.732 1.529 22.680 0.971 1898 6 27.048 1.057 0 0 27.048 1.057 26.748 1.252 1898 7 27.229 -0.385 0 0 27.229 -0.385 26.440 -0.679 1898 8 27.019 -0.183 0 0 27.019 -0.183 26.220 -0.488 1898 9 25.182 0.797 0 0 25.182 0.797 24.588 0.698 1898 10 16.166 -1.739 0 0 16.166 -1.739 15.540 -1.870 1898 11 9.882 -2.556 0 0 9.882 -2.556 9.675 -2.268 1898 12 6.271 -2.290 0 0 6.271 -2.290 5.749 -2.318 1899 1 6.595 -0.491 0 0 6.595 -0.491 5.735 -0.857 1899 2 2.489 -6.633 0 0 2.489 -6.633 2.340 -6.288 1899 3 12.671 -0.561 0 0 12.671 -0.561 12.685 -0.052 1899 4 17.298 -0.793 0 0 17.298 -0.793 16.384 -1.213 1899 5 25.055 2.852 0 0 25.055 2.852 23.966 2.257 1899 6 26.957 0.966 0 0 26.957 0.966 26.208 0.712 1899 7 27.555 -0.059 0 0 27.555 -0.059 26.751 -0.368 1899 8 28.161 0.959 0 0 28.161 0.959 27.335 0.628 1899 9 22.733 -1.652 0 0 22.733 -1.652 22.670 -1.220 1899 10 19.887 1.982 0 0 19.887 1.982 18.745 1.335 1899 11 13.907 1.469 0 0 13.907 1.469 13.047 1.104 1899 12 6.602 -1.960 0 0 6.602 -1.960 7.051 -1.016 1900 1 7.076 -0.011 0 0 7.076 -0.011 6.145 -0.447 1900 2 6.080 -3.042 0 0 6.080 -3.042 6.018 -2.609 1900 3 11.145 -2.086 0 0 11.145 -2.086 11.183 -1.553 1900 4 17.945 -0.146 0 0 17.945 -0.146 17.415 -0.181 1900 5 22.042 -0.161 0 0 22.042 -0.161 21.438 -0.270 1900 6 24.981 -1.009 0 0 24.981 -1.009 24.807 -0.689 1900 7 26.900 -0.715 0 0 26.900 -0.715 26.496 -0.624 1900 8 28.047 0.845 0 0 28.047 0.845 27.352 0.645 1900 9 26.630 2.245 0 0 26.630 2.245 26.209 2.319 1900 10 20.430 2.525 0 0 20.430 2.525 19.241 1.830 1900 11 13.074 0.637 0 0 13.074 0.637 12.764 0.821 1900 12 8.676 0.114 0 0 8.676 0.114 8.350 0.283 1901 1 8.172 1.085 0 0 8.172 1.085 7.786 1.194 1901 2 6.389 -2.733 0 0 6.389 -2.733 5.936 -2.692 1901 3 12.437 -0.794 0 0 12.437 -0.794 12.030 -0.707 1901 4 15.278 -2.813 0 0 15.278 -2.813 14.715 -2.881 1901 5 20.645 -1.558 0 0 20.645 -1.558 20.375 -1.333 1901 6 26.833 0.842 0 0 26.833 0.842 26.356 0.859 1901 7 29.319 1.705 0 0 29.319 1.705 28.000 0.881 1901 8 26.434 -0.768 0 0 26.434 -0.768 25.993 -0.714 1901 9 22.685 -1.700 0 0 22.685 -1.700 22.495 -1.395 1901 10 17.203 -0.702 0 0 17.203 -0.702 16.673 -0.738 1901 11 11.916 -0.522 0 0 11.916 -0.522 9.722 -2.221 1901 12 5.538 -3.024 0 0 5.538 -3.024 5.130 -2.936 1902 1 6.370 -0.716 0 0 6.370 -0.716 5.119 -1.473 1902 2 4.167 -4.955 0 0 4.167 -4.955 3.958 -4.670 1902 3 13.000 -0.232 0 0 13.000 -0.232 12.828 0.091 1902 4 17.278 -0.813 0 0 17.278 -0.813 17.099 -0.498 1902 5 25.072 2.869 0 0 25.072 2.869 23.844 2.135 1902 6 28.056 2.065 0 0 28.056 2.065 27.333 1.837 1902 7 28.530 0.916 0 0 28.530 0.916 27.784 0.665 1902 8 27.760 0.558 0 0 27.760 0.558 27.565 0.857 1902 9 22.852 -1.533 0 0 22.852 -1.533 22.684 -1.207 1902 10 17.885 -0.020 0 0 17.885 -0.020 16.739 -0.672 1902 11 14.907 2.470 0 0 14.907 2.470 14.499 2.557 1902 12 7.276 -1.285 0 0 7.276 -1.285 7.301 -0.766 1903 1 NaN NaN NaN NaN NaN NaN 5.833 -0.759 1903 2 NaN NaN NaN NaN NaN NaN 8.074 -0.553 1903 3 NaN NaN NaN NaN NaN NaN 14.736 1.999 1903 4 NaN NaN NaN NaN NaN NaN 16.466 -1.131 1903 5 NaN NaN NaN NaN NaN NaN 20.535 -1.174 1903 6 NaN NaN NaN NaN NaN NaN 22.562 -2.934 1903 7 NaN NaN NaN NaN NaN NaN 26.763 -0.356 1903 8 NaN NaN NaN NaN NaN NaN 26.560 -0.147 1903 9 NaN NaN NaN NaN NaN NaN 22.933 -0.957 1903 10 NaN NaN NaN NaN NaN NaN 16.881 -0.530 1903 11 NaN NaN NaN NaN NaN NaN 10.240 -1.703 1903 12 NaN NaN NaN NaN NaN NaN 5.156 -2.910