% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32131 % Primary Name: SUNNYVALE % Record Type: TAVG % Country: United States % State: CA % Latitude: 37.36667 +/- 0.00833 % Longitude: -122.03333 +/- 0.00833 % Elevation (m): 31.09 +/- 0.15 % # of Months: 141 % % Alternate Names: Missing Station ID - 48666 % % IDs: coop - 48666 % ncdc - 20002403 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 4256ef286695c5faf27501ae6f5026e4 % Raw Data Hash: 2aa56631aebd8be899f951f09d13fa8f % Adj Data Hash: 2ddfd93d86853373f66a01bb49444803 % % 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 1930 1 NaN NaN NaN NaN NaN NaN 7.649 -0.652 1930 2 NaN NaN NaN NaN NaN NaN 12.057 1.575 1930 3 NaN NaN NaN NaN NaN NaN 12.284 0.643 1930 4 NaN NaN NaN NaN NaN NaN 13.957 0.747 1930 5 NaN NaN NaN NaN NaN NaN 13.811 -1.976 1930 6 NaN NaN NaN NaN NaN NaN 17.858 -0.336 1930 7 NaN NaN NaN NaN NaN NaN 18.557 -1.032 1930 8 NaN NaN NaN NaN NaN NaN 19.185 -0.339 1930 9 NaN NaN NaN NaN NaN NaN 17.819 -1.318 1930 10 NaN NaN NaN NaN NaN NaN 16.319 0.063 1930 11 NaN NaN NaN NaN NaN NaN 12.269 0.236 1930 12 NaN NaN NaN NaN NaN NaN 8.111 -0.487 1931 1 9.333 1.060 0 0 9.483 1.209 8.980 0.680 1931 2 11.778 1.322 0 0 11.873 1.417 12.068 1.586 1931 3 12.778 1.164 0 0 12.875 1.261 12.881 1.241 1931 4 14.444 1.260 0 0 14.518 1.334 14.704 1.494 1931 5 17.944 2.184 0 0 17.954 2.193 18.071 2.284 1931 6 18.167 -0.001 0 0 18.167 -0.000 18.204 0.010 1931 7 20.111 0.548 0 0 20.182 0.619 21.271 1.682 1931 8 18.778 -0.719 0 0 18.910 -0.587 19.806 0.283 1931 9 17.222 -1.888 0 0 17.374 -1.736 18.493 -0.643 1931 10 14.444 -1.785 0 0 14.637 -1.593 15.366 -0.890 1931 11 10.111 -1.895 0 0 10.361 -1.646 10.521 -1.512 1931 12 8.111 -0.461 0 0 8.347 -0.224 7.593 -1.005 1932 1 8.056 -0.218 0 0 8.205 -0.068 7.294 -1.007 1932 2 8.833 -1.622 0 0 8.928 -1.528 9.153 -1.329 1932 3 12.611 0.997 0 0 12.708 1.095 12.463 0.822 1932 4 12.500 -0.684 0 0 12.573 -0.611 12.381 -0.830 1932 5 15.833 0.073 0 0 15.843 0.082 15.563 -0.223 1932 6 17.778 -0.390 0 0 17.778 -0.389 17.906 -0.287 1932 7 18.333 -1.229 0 0 18.404 -1.158 19.082 -0.507 1932 8 18.333 -1.164 0 0 18.465 -1.032 19.079 -0.444 1932 9 18.278 -0.832 0 0 18.430 -0.680 19.879 0.743 1932 10 15.333 -0.896 0 0 15.525 -0.704 16.256 0.000 1932 11 13.667 1.660 0 0 13.916 1.910 14.179 2.146 1932 12 6.278 -2.294 0 0 6.514 -2.058 6.126 -2.472 1933 1 6.667 -1.607 0 0 6.817 -1.457 6.234 -2.067 1933 2 8.667 -1.789 0 0 8.762 -1.694 8.740 -1.742 1933 3 11.889 0.275 0 0 11.986 0.372 11.535 -0.105 1933 4 12.833 -0.351 0 0 12.906 -0.278 12.737 -0.473 1933 5 13.333 -2.427 0 0 13.343 -2.418 13.379 -2.408 1933 6 16.222 -1.945 0 0 16.223 -1.945 16.571 -1.623 1933 7 19.278 -0.285 0 0 19.349 -0.214 19.947 0.358 1933 8 18.944 -0.553 0 0 19.077 -0.421 19.471 -0.052 1933 9 17.111 -1.999 0 0 17.263 -1.847 18.008 -1.129 1933 10 16.833 0.604 0 0 17.025 0.796 17.757 1.501 1933 11 12.444 0.438 0 0 12.694 0.688 13.082 1.049 1933 12 9.000 0.428 0 0 9.236 0.665 8.491 -0.108 1934 1 9.389 1.115 0 0 9.539 1.265 9.020 0.720 1934 2 11.778 1.322 0 0 11.873 1.417 11.826 1.344 1934 3 14.833 3.220 0 0 14.931 3.317 14.685 3.045 1934 4 15.000 1.816 0 0 15.073 1.889 15.051 1.840 1934 5 17.000 1.240 0 0 17.009 1.249 17.000 1.213 1934 6 17.833 -0.334 0 0 17.834 -0.333 17.856 -0.338 1934 7 18.667 -0.896 0 0 18.738 -0.825 19.433 -0.156 1934 8 19.111 -0.386 0 0 19.243 -0.254 19.480 -0.044 1934 9 18.444 -0.666 0 0 18.596 -0.514 19.580 0.443 1934 10 15.667 -0.563 0 0 15.859 -0.371 16.335 0.079 1934 11 13.000 0.993 0 0 13.250 1.243 13.044 1.011 1934 12 9.444 0.873 0 0 9.681 1.109 9.397 0.799 1935 1 8.333 0.060 0 0 8.483 0.209 8.291 -0.010 1935 2 10.222 -0.234 0 0 10.317 -0.139 10.503 0.021 1935 3 9.778 -1.836 0 0 9.875 -1.739 9.556 -2.084 1935 4 13.778 0.594 0 0 13.851 0.667 13.566 0.356 1935 5 15.667 -0.094 0 0 15.676 -0.084 15.451 -0.336 1935 6 18.667 0.499 0 0 18.667 0.500 18.836 0.642 1935 7 19.278 -0.285 0 0 19.349 -0.214 19.167 -0.422 1935 8 19.389 -0.108 0 0 19.521 0.024 19.331 -0.192 1935 9 18.111 -0.999 0 0 18.263 -0.847 18.598 -0.538 1935 10 14.722 -1.507 0 0 14.914 -1.315 15.463 -0.793 1935 11 10.556 -1.451 0 0 10.805 -1.201 10.641 -1.392 1935 12 9.111 0.539 0 0 9.347 0.776 9.095 0.497 1936 1 10.500 2.226 0 0 10.650 2.376 9.946 1.646 1936 2 10.444 -0.011 0 0 10.539 0.084 10.444 -0.038 1936 3 12.500 0.886 0 0 12.597 0.984 12.531 0.890 1936 4 14.333 1.149 0 0 14.406 1.222 14.073 0.863 1936 5 17.667 1.906 0 0 17.676 1.916 17.185 1.399 1936 6 18.333 0.166 0 0 18.334 0.167 18.679 0.485 1936 7 20.111 0.548 0 0 20.182 0.619 20.307 0.717 1936 8 19.778 0.281 0 0 19.910 0.413 19.974 0.450 1936 9 19.222 0.112 0 0 19.374 0.264 20.170 1.034 1936 10 16.667 0.437 0 0 16.859 0.629 17.194 0.938 1936 11 12.056 0.049 0 0 12.305 0.299 12.247 0.214 1936 12 8.333 -0.238 0 0 8.570 -0.002 8.071 -0.528 1937 1 5.111 -3.163 0 0 5.261 -3.013 4.338 -3.962 1937 2 8.944 -1.511 0 0 9.039 -1.416 8.942 -1.540 1937 3 11.889 0.275 0 0 11.986 0.372 11.685 0.045 1937 4 12.444 -0.740 0 0 12.518 -0.666 12.439 -0.771 1937 5 15.778 0.018 0 0 15.787 0.027 15.982 0.195 1937 6 18.778 0.610 0 0 18.778 0.611 18.640 0.446 1937 7 20.222 0.659 0 0 20.293 0.730 20.211 0.622 1937 8 19.556 0.058 0 0 19.688 0.190 19.831 0.307 1937 9 18.556 -0.555 0 0 18.707 -0.403 19.322 0.186 1937 10 16.444 0.215 0 0 16.637 0.407 17.283 1.027 1937 11 12.833 0.827 0 0 13.083 1.076 13.046 1.013 1937 12 9.889 1.317 0 0 10.125 1.554 9.897 1.299 1938 1 9.111 0.837 0 0 9.261 0.987 8.499 0.199 1938 2 10.667 0.211 0 0 10.762 0.306 10.387 -0.095 1938 3 10.833 -0.780 0 0 10.931 -0.683 10.370 -1.270 1938 4 12.833 -0.351 0 0 12.906 -0.278 12.671 -0.540 1938 5 15.722 -0.038 0 0 15.732 -0.029 15.740 -0.047 1938 6 18.111 -0.056 0 0 18.112 -0.056 17.918 -0.276 1938 7 20.222 0.659 0 0 20.293 0.730 19.740 0.151 1938 8 19.333 -0.164 0 0 19.465 -0.032 19.399 -0.125 1938 9 18.889 -0.221 0 0 19.041 -0.069 19.613 0.477 1938 10 16.000 -0.229 0 0 16.192 -0.037 15.988 -0.268 1938 11 10.944 -1.062 0 0 11.194 -0.812 11.311 -0.722 1938 12 9.944 1.373 0 0 10.181 1.609 9.693 1.094 1939 1 8.611 0.337 0 0 8.761 0.487 8.380 0.080 1939 2 8.722 -1.734 0 0 8.817 -1.639 8.964 -1.518 1939 3 11.056 -0.558 0 0 11.153 -0.461 10.801 -0.839 1939 4 14.667 1.483 0 0 14.740 1.556 14.452 1.241 1939 5 16.333 0.573 0 0 16.343 0.582 16.059 0.272 1939 6 17.889 -0.278 0 0 17.889 -0.278 18.020 -0.174 1939 7 19.611 0.048 0 0 19.682 0.119 19.647 0.058 1939 8 19.111 -0.386 0 0 19.243 -0.254 19.501 -0.022 1939 9 20.611 1.501 0 0 20.763 1.653 21.143 2.007 1939 10 16.333 0.104 0 0 16.525 0.296 16.755 0.499 1939 11 12.444 0.438 0 0 12.694 0.688 12.760 0.727 1939 12 10.889 2.317 0 4 10.145 1.574 10.316 1.718 1940 1 10.611 2.337 0 0 10.139 1.866 9.594 1.294 1940 2 11.944 1.489 0 0 11.646 1.190 11.785 1.303 1940 3 13.333 1.720 0 0 13.027 1.413 12.795 1.155 1940 4 14.500 1.316 0 0 14.270 1.086 14.126 0.916 1940 5 16.500 0.740 0 0 16.471 0.711 16.249 0.463 1940 6 19.000 0.833 0 0 18.998 0.831 18.754 0.560 1940 7 19.889 0.326 0 0 19.665 0.103 19.587 -0.003 1940 8 19.722 0.225 0 0 19.306 -0.191 19.338 -0.186 1940 9 19.444 0.334 0 0 18.967 -0.144 19.493 0.356 1940 10 16.500 0.271 0 0 15.896 -0.334 16.653 0.397 1940 11 11.778 -0.229 0 0 10.992 -1.015 11.700 -0.333 1940 12 11.111 2.539 0 0 10.367 1.796 10.597 1.999 1941 1 10.667 2.393 0 0 10.195 1.921 9.931 1.631 1941 2 12.056 1.600 0 0 11.757 1.301 11.736 1.254 1941 3 13.444 1.831 0 0 13.138 1.524 13.018 1.378 1941 4 13.111 -0.073 0 0 12.881 -0.303 12.701 -0.509 1941 5 17.500 1.740 0 0 17.471 1.711 16.850 1.063 1941 6 18.000 -0.167 0 0 17.998 -0.169 17.700 -0.494 1941 7 20.556 0.993 0 0 20.332 0.769 20.230 0.641 1941 8 19.444 -0.053 0 0 19.029 -0.469 19.200 -0.324 1941 9 18.722 -0.388 0 0 18.244 -0.866 19.100 -0.036 1941 10 15.222 -1.007 0 0 14.618 -1.612 15.559 -0.697 1941 11 13.111 1.105 0 0 12.325 0.319 12.837 0.803 1941 12 10.556 1.984 0 0 9.812 1.240 9.888 1.290 1942 1 9.333 1.060 0 0 8.862 0.588 8.607 0.306 1942 2 10.222 -0.234 0 0 9.924 -0.532 10.080 -0.403 1942 3 11.722 0.109 0 0 11.416 -0.198 11.056 -0.584 1942 4 13.222 0.038 0 0 12.992 -0.192 12.564 -0.647 1942 5 14.944 -0.816 0 0 14.915 -0.845 14.556 -1.230 1942 6 17.889 -0.278 0 0 17.887 -0.280 17.720 -0.473 1942 7 20.222 0.659 0 0 19.999 0.436 19.951 0.362 1942 8 19.667 0.169 0 0 19.251 -0.246 19.144 -0.380 1942 9 19.222 0.112 0 0 18.744 -0.366 18.605 -0.532 1942 10 NaN NaN NaN NaN NaN NaN 16.558 0.302 1942 11 NaN NaN NaN NaN NaN NaN 11.818 -0.215 1942 12 NaN NaN NaN NaN NaN NaN 8.941 0.343 1943 1 NaN NaN NaN NaN NaN NaN 8.612 0.312 1943 2 NaN NaN NaN NaN NaN NaN 11.235 0.753 1943 3 NaN NaN NaN NaN NaN NaN 12.142 0.501 1943 4 NaN NaN NaN NaN NaN NaN 13.511 0.300 1943 5 NaN NaN NaN NaN NaN NaN 16.627 0.840 1943 6 NaN NaN NaN NaN NaN NaN 16.670 -1.524 1943 7 NaN NaN NaN NaN NaN NaN 19.235 -0.355 1943 8 NaN NaN NaN NaN NaN NaN 18.838 -0.686 1943 9 NaN NaN NaN NaN NaN NaN 20.228 1.092