% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32534 % Primary Name: SAN FRANCISCO ACAD OF SCIENCE % Record Type: TAVG % Country: United States % State: CA % Latitude: 37.76670 +/- 0.00005 % Longitude: -122.46670 +/- 0.00005 % Elevation (m): 75.90 +/- 0.05 % # of Months: 73 % % Alternate Names: SAN FRAN ACAD OF SCI % % IDs: coop - 47765 % ghcnd - USC00047765 % ncdc - 20002488 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: c4221513f3915c03bb73dad72e724b97 % Raw Data Hash: 3451b9a26ec0d92c2b1f56a07d82a258 % Adj Data Hash: b5298e4c114a56162426223a886f9ee3 % % 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 1950 7 NaN NaN NaN NaN NaN NaN 19.611 0.021 1950 8 NaN NaN NaN NaN NaN NaN 20.017 0.493 1950 9 NaN NaN NaN NaN NaN NaN 19.784 0.648 1950 10 NaN NaN NaN NaN NaN NaN 16.815 0.559 1950 11 NaN NaN NaN NaN NaN NaN 14.643 2.610 1950 12 NaN NaN NaN NaN NaN NaN 10.581 1.983 1951 1 NaN NaN NaN NaN NaN NaN 8.223 -0.077 1951 2 NaN NaN NaN NaN NaN NaN 10.111 -0.372 1951 3 NaN NaN NaN NaN NaN NaN 11.161 -0.479 1951 4 NaN NaN NaN NaN NaN NaN 12.343 -0.868 1951 5 NaN NaN NaN NaN NaN NaN 15.857 0.071 1951 6 NaN NaN NaN NaN NaN NaN 16.903 -1.291 1951 7 13.071 -5.012 1 0 NaN NaN 18.434 -1.155 1951 8 13.444 -4.574 0 0 13.444 -4.574 18.705 -0.819 1951 9 14.944 -2.686 0 0 14.944 -2.686 19.121 -0.016 1951 10 15.056 0.305 0 0 15.056 0.305 16.365 0.109 1951 11 12.944 2.417 0 0 12.944 2.417 12.302 0.269 1951 12 9.444 2.352 0 0 9.444 2.352 8.006 -0.592 1952 1 8.278 1.483 0 0 8.278 1.483 7.061 -1.239 1952 2 10.556 1.579 0 0 10.556 1.579 10.154 -0.328 1952 3 10.167 0.032 0 0 10.167 0.032 9.895 -1.745 1952 4 12.500 0.795 0 0 12.500 0.795 13.361 0.150 1952 5 13.444 -0.837 0 0 13.444 -0.837 16.233 0.447 1952 6 13.111 -3.577 0 0 13.111 -3.577 15.966 -2.228 1952 7 14.222 -3.861 0 0 14.222 -3.861 19.814 0.225 1952 8 13.722 -4.296 0 0 13.722 -4.296 18.992 -0.532 1952 9 15.722 -1.909 0 0 15.722 -1.909 20.196 1.059 1952 10 13.944 -0.806 0 0 13.944 -0.806 16.774 0.518 1952 11 12.056 1.528 0 0 12.056 1.528 11.008 -1.025 1952 12 10.167 3.074 0 0 10.167 3.074 8.965 0.367 1953 1 11.611 4.817 0 0 11.611 4.817 10.550 2.250 1953 2 11.111 2.135 0 0 11.111 2.135 10.605 0.123 1953 3 10.944 0.810 0 0 10.944 0.810 10.767 -0.873 1953 4 10.944 -0.760 0 0 10.944 -0.760 12.263 -0.947 1953 5 13.000 -1.281 0 0 13.000 -1.281 14.121 -1.666 1953 6 13.667 -3.021 0 0 13.667 -3.021 16.719 -1.475 1953 7 13.056 -5.028 0 0 13.056 -5.028 19.835 0.246 1953 8 14.667 -3.351 0 0 14.667 -3.351 18.606 -0.918 1953 9 16.500 -1.131 0 0 16.500 -1.131 20.279 1.142 1953 10 15.389 0.639 0 0 15.389 0.639 16.099 -0.157 1953 11 13.000 2.473 0 0 13.000 2.473 12.538 0.505 1953 12 11.556 4.463 0 0 11.556 4.463 9.790 1.192 1954 1 10.000 3.205 0 0 10.000 3.205 8.531 0.231 1954 2 11.500 2.524 0 0 11.500 2.524 10.656 0.173 1954 3 10.389 0.254 0 0 10.389 0.254 9.900 -1.740 1954 4 12.833 1.129 0 0 12.833 1.129 14.448 1.237 1954 5 12.667 -1.614 0 0 12.667 -1.614 15.794 0.007 1954 6 13.500 -3.188 0 0 13.500 -3.188 17.541 -0.652 1954 7 14.222 -3.861 0 0 14.222 -3.861 20.123 0.533 1954 8 13.444 -4.574 0 0 13.444 -4.574 17.863 -1.660 1954 9 15.556 -2.075 0 0 15.556 -2.075 18.813 -0.323 1954 10 15.056 0.305 0 0 15.056 0.305 16.087 -0.169 1954 11 13.056 2.528 0 0 13.056 2.528 11.875 -0.158 1954 12 9.389 2.297 0 0 9.389 2.297 7.670 -0.928 1955 1 8.333 1.539 0 0 8.333 1.539 6.379 -1.921 1955 2 10.556 1.579 0 0 10.556 1.579 9.335 -1.147 1955 3 11.667 1.532 0 0 11.667 1.532 11.135 -0.506 1955 4 10.389 -1.316 0 0 10.389 -1.316 10.802 -2.409 1955 5 12.778 -1.503 0 0 12.778 -1.503 15.657 -0.129 1955 6 12.944 -3.744 0 0 12.944 -3.744 17.066 -1.128 1955 7 13.000 -5.084 0 0 13.000 -5.084 18.252 -1.338 1955 8 12.444 -5.574 0 0 12.444 -5.574 18.708 -0.816 1955 9 13.722 -3.909 0 0 13.722 -3.909 19.042 -0.095 1955 10 14.444 -0.306 0 0 14.444 -0.306 16.182 -0.074 1955 11 12.500 1.973 0 0 12.500 1.973 11.483 -0.550 1955 12 11.222 4.130 0 0 11.222 4.130 9.986 1.388 1956 1 10.389 3.594 0 0 10.389 3.594 9.108 0.807 1956 2 9.722 0.746 0 0 9.722 0.746 8.595 -1.887 1956 3 10.944 0.810 0 0 10.944 0.810 10.836 -0.804 1956 4 11.500 -0.205 0 0 11.500 -0.205 12.572 -0.639 1956 5 13.667 -0.614 0 0 13.667 -0.614 15.624 -0.163 1956 6 13.944 -2.744 0 0 13.944 -2.744 18.355 0.161 1956 7 13.278 -4.806 0 0 13.278 -4.806 18.880 -0.709 1956 8 14.111 -3.907 0 0 14.111 -3.907 18.645 -0.879 1956 9 16.167 -1.464 0 0 16.167 -1.464 19.588 0.452 1956 10 14.000 -0.750 0 0 14.000 -0.750 15.262 -0.994 1956 11 14.278 3.750 0 0 14.278 3.750 12.367 0.334 1956 12 10.722 3.630 0 0 10.722 3.630 8.289 -0.309 1957 1 8.667 1.872 0 0 8.667 1.872 6.696 -1.604 1957 2 11.722 2.746 0 0 11.722 2.746 11.344 0.862 1957 3 11.722 1.588 0 0 11.722 1.588 11.762 0.122 1957 4 13.556 1.851 0 0 13.556 1.851 13.982 0.772 1957 5 13.778 -0.503 0 0 13.778 -0.503 15.511 -0.275 1957 6 15.611 -1.077 0 0 15.611 -1.077 19.834 1.640 1957 7 14.833 -3.250 0 0 14.833 -3.250 20.137 0.548 1957 8 NaN NaN NaN NaN NaN NaN 19.033 -0.491 1957 9 NaN NaN NaN NaN NaN NaN 20.012 0.875 1957 10 NaN NaN NaN NaN NaN NaN 16.091 -0.165 1957 11 NaN NaN NaN NaN NaN NaN 11.383 -0.650 1957 12 NaN NaN NaN NaN NaN NaN 8.535 -0.063 1958 1 NaN NaN NaN NaN NaN NaN 8.786 0.485 1958 2 NaN NaN NaN NaN NaN NaN 12.482 2.000 1958 3 NaN NaN NaN NaN NaN NaN 9.864 -1.776 1958 4 NaN NaN NaN NaN NaN NaN 13.475 0.265 1958 5 NaN NaN NaN NaN NaN NaN 16.716 0.930 1958 6 NaN NaN NaN NaN NaN NaN 18.797 0.603 1958 7 NaN NaN NaN NaN NaN NaN 19.525 -0.065