% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32803 % Primary Name: LUNDY LAKE % Record Type: TAVG % Country: United States % State: CA % Latitude: 38.03333 +/- 0.00833 % Longitude: -119.21667 +/- 0.00833 % Elevation (m): 2367.10 +/- 0.05 % # of Months: 113 % % IDs: coop - 45194 % ncdc - 20002580 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 7713284c89f18c6b8a2d5883fa0df31f % Raw Data Hash: 706474b1cf1811103edae23d54c05c0e % Adj Data Hash: a54dee934ac61602a8581e4c0d9a006b % % 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 2.440 -1.174 1930 2 NaN NaN NaN NaN NaN NaN 7.715 2.067 1930 3 NaN NaN NaN NaN NaN NaN 7.345 0.216 1930 4 NaN NaN NaN NaN NaN NaN 10.747 0.926 1930 5 NaN NaN NaN NaN NaN NaN 11.356 -2.821 1930 6 NaN NaN NaN NaN NaN NaN 18.697 0.157 1930 7 NaN NaN NaN NaN NaN NaN 22.246 -0.099 1930 8 NaN NaN NaN NaN NaN NaN 20.771 -0.774 1930 9 NaN NaN NaN NaN NaN NaN 16.572 -2.183 1930 10 NaN NaN NaN NaN NaN NaN 12.823 -0.833 1930 11 NaN NaN NaN NaN NaN NaN 8.040 0.175 1930 12 NaN NaN NaN NaN NaN NaN 3.215 -0.817 1931 1 -1.056 1.522 0 0 -1.056 1.522 4.454 0.840 1931 2 -0.556 -0.012 0 0 -0.556 -0.012 6.796 1.148 1931 3 3.222 2.285 0 0 3.222 2.285 8.042 0.914 1931 4 7.167 3.538 0 0 7.167 3.538 12.148 2.327 1931 5 9.444 1.458 0 0 9.444 1.458 16.926 2.748 1931 6 11.167 -1.182 0 0 11.167 -1.182 17.489 -1.052 1931 7 18.222 2.069 0 0 18.222 2.069 25.303 2.958 1931 8 15.778 0.425 0 0 15.778 0.425 22.863 1.318 1931 9 9.778 -2.785 0 0 9.778 -2.785 17.249 -1.506 1931 10 6.000 -1.464 0 0 6.000 -1.464 13.666 0.010 1931 11 -3.111 -4.784 0 0 -3.111 -4.784 6.081 -1.784 1931 12 -6.944 -4.785 0 0 -6.944 -4.785 2.553 -1.479 1932 1 -8.000 -5.422 0 0 -8.000 -5.422 1.800 -1.814 1932 2 -5.889 -5.345 0 0 -5.889 -5.345 4.564 -1.085 1932 3 -1.889 -2.826 0 0 -1.889 -2.826 7.916 0.788 1932 4 2.167 -1.462 0 0 2.167 -1.462 8.909 -0.912 1932 5 6.333 -1.653 0 0 6.333 -1.653 13.888 -0.290 1932 6 12.667 0.318 0 0 12.667 0.318 18.415 -0.126 1932 7 16.389 0.236 0 0 16.389 0.236 21.622 -0.723 1932 8 16.778 1.425 0 0 16.778 1.425 20.819 -0.726 1932 9 14.167 1.604 0 0 14.167 1.604 20.377 1.622 1932 10 7.667 0.202 0 0 7.667 0.202 13.685 0.028 1932 11 5.333 3.660 0 0 5.333 3.660 10.395 2.530 1932 12 -4.556 -2.396 0 0 -4.556 -2.396 1.071 -2.961 1933 1 -5.111 -2.533 0 0 -5.111 -2.533 1.331 -2.283 1933 2 -4.333 -3.790 0 0 -4.333 -3.790 3.273 -2.375 1933 3 0.611 -0.326 0 0 0.611 -0.326 6.965 -0.163 1933 4 2.833 -0.795 0 0 2.833 -0.795 9.698 -0.123 1933 5 4.111 -3.875 0 0 4.111 -3.875 11.002 -3.176 1933 6 12.500 0.151 0 0 12.500 0.151 17.276 -1.265 1933 7 18.333 2.180 0 0 18.333 2.180 24.204 1.859 1933 8 16.667 1.313 0 0 16.667 1.313 22.328 0.783 1933 9 13.556 0.992 0 0 13.556 0.992 17.926 -0.829 1933 10 10.778 3.313 0 0 10.778 3.313 16.849 3.192 1933 11 3.667 1.993 0 0 3.667 1.993 9.361 1.496 1933 12 0.556 2.715 0 0 0.556 2.715 4.646 0.614 1934 1 -2.056 0.522 0 0 -2.056 0.522 4.946 1.332 1934 2 -0.389 0.155 0 0 -0.389 0.155 7.557 1.909 1934 3 5.667 4.730 0 0 5.667 4.730 11.438 4.310 1934 4 8.000 4.371 0 0 8.000 4.371 13.301 3.480 1934 5 10.444 2.458 0 0 10.444 2.458 16.137 1.959 1934 6 10.056 -2.293 0 0 10.056 -2.293 17.100 -1.441 1934 7 16.889 0.736 0 0 16.889 0.736 22.672 0.327 1934 8 17.556 2.202 0 0 17.556 2.202 22.387 0.842 1934 9 13.111 0.548 0 0 13.111 0.548 19.605 0.850 1934 10 8.000 0.536 0 0 8.000 0.536 14.523 0.867 1934 11 3.111 1.438 0 0 3.111 1.438 8.743 0.878 1934 12 -0.944 1.215 0 0 -0.944 1.215 4.639 0.607 1935 1 -3.611 -1.033 0 0 -3.611 -1.033 3.500 -0.114 1935 2 -1.444 -0.901 0 0 -1.444 -0.901 5.977 0.329 1935 3 -2.778 -3.715 0 0 -2.778 -3.715 4.340 -2.788 1935 4 2.778 -0.851 0 0 2.778 -0.851 9.395 -0.425 1935 5 7.222 -0.764 0 0 7.222 -0.764 13.754 -0.424 1935 6 14.389 2.040 0 0 14.389 2.040 19.712 1.171 1935 7 15.222 -0.931 0 0 15.222 -0.931 21.357 -0.988 1935 8 17.000 1.647 0 0 17.000 1.647 22.192 0.646 1935 9 15.000 2.437 0 0 15.000 2.437 19.995 1.240 1935 10 6.333 -1.131 0 0 6.333 -1.131 12.597 -1.059 1935 11 0.889 -0.784 0 0 0.889 -0.784 6.389 -1.477 1935 12 -2.333 -0.174 0 0 -2.333 -0.174 4.595 0.562 1936 1 -0.778 1.800 0 0 -0.778 1.800 5.344 1.730 1936 2 -2.556 -2.012 0 0 -2.556 -2.012 5.204 -0.444 1936 3 1.500 0.563 0 0 1.500 0.563 8.078 0.949 1936 4 5.889 2.260 0 0 5.889 2.260 10.886 1.066 1936 5 9.889 1.903 0 0 9.889 1.903 15.039 0.861 1936 6 13.500 1.151 0 0 13.500 1.151 18.271 -0.270 1936 7 17.778 1.625 0 0 17.778 1.625 23.650 1.305 1936 8 17.556 2.202 0 0 17.556 2.202 22.450 0.905 1936 9 12.667 0.104 0 0 12.667 0.104 19.301 0.546 1936 10 7.778 0.313 0 0 7.778 0.313 14.711 1.055 1936 11 4.111 2.438 0 0 4.111 2.438 8.805 0.940 1936 12 -2.111 0.048 0 0 -2.111 0.048 3.417 -0.615 1937 1 -9.389 -6.811 0 0 -9.389 -6.811 -1.269 -4.883 1937 2 -2.778 -2.234 0 0 -2.778 -2.234 4.509 -1.139 1937 3 0.778 -0.159 0 0 0.778 -0.159 6.605 -0.523 1937 4 3.389 -0.240 0 0 3.389 -0.240 8.834 -0.986 1937 5 10.889 2.903 0 0 10.889 2.903 15.413 1.235 1937 6 13.222 0.873 0 0 13.222 0.873 17.930 -0.611 1937 7 17.833 1.680 0 0 17.833 1.680 23.380 1.035 1937 8 17.056 1.702 0 0 17.056 1.702 22.250 0.705 1937 9 14.000 1.437 0 0 14.000 1.437 19.440 0.685 1937 10 8.333 0.869 0 0 8.333 0.869 14.861 1.205 1937 11 3.778 2.104 0 0 3.778 2.104 8.782 0.917 1937 12 0.889 3.048 0 0 0.889 3.048 5.592 1.559 1938 1 -0.500 2.078 0 0 -0.500 2.078 4.588 0.974 1938 2 -4.333 -3.790 0 0 -4.333 -3.790 4.906 -0.742 1938 3 -3.000 -3.937 0 0 -3.000 -3.937 4.752 -2.376 1938 4 3.556 -0.073 0 0 3.556 -0.073 9.232 -0.588 1938 5 7.444 -0.542 0 0 7.444 -0.542 14.270 0.093 1938 6 13.000 0.651 0 0 13.000 0.651 18.950 0.409 1938 7 16.222 0.069 0 0 16.222 0.069 22.648 0.303 1938 8 16.500 1.147 0 0 16.500 1.147 21.341 -0.204 1938 9 13.611 1.048 0 0 13.611 1.048 19.744 0.989 1938 10 6.111 -1.353 0 0 6.111 -1.353 13.081 -0.575 1938 11 0.556 -1.118 0 0 0.556 -1.118 6.532 -1.333 1938 12 0.000 2.160 0 0 0.000 2.160 5.410 1.378 1939 1 -2.111 0.467 0 0 -2.111 0.467 4.162 0.548 1939 2 -4.389 -3.845 0 0 -4.389 -3.845 3.083 -2.565 1939 3 1.500 0.563 0 0 1.500 0.563 7.090 -0.038 1939 4 7.611 3.982 0 0 7.611 3.982 12.526 2.705 1939 5 8.889 0.903 0 0 8.889 0.903 14.813 0.636 1939 6 12.722 0.373 0 0 12.722 0.373 18.500 -0.041 1939 7 17.667 1.513 0 0 17.667 1.513 22.840 0.495 1939 8 17.944 2.591 0 0 17.944 2.591 22.469 0.924 1939 9 12.333 -0.230 0 0 12.333 -0.230 19.583 0.828 1939 10 7.278 -0.187 0 0 7.278 -0.187 13.596 -0.060 1939 11 4.778 3.104 0 0 4.778 3.104 9.499 1.634 1939 12 3.000 5.160 0 0 3.000 5.160 6.420 2.388 1940 1 -2.000 0.578 0 0 -2.000 0.578 5.379 1.765 1940 2 -1.444 -0.901 0 0 -1.444 -0.901 6.676 1.027 1940 3 2.833 1.897 0 0 2.833 1.897 8.568 1.439 1940 4 5.222 1.593 0 0 5.222 1.593 10.616 0.796 1940 5 11.444 3.458 0 0 11.444 3.458 16.398 2.220 1940 6 NaN NaN NaN NaN NaN NaN 20.966 2.426 1940 7 NaN NaN NaN NaN NaN NaN 21.949 -0.396 1940 8 NaN NaN NaN NaN NaN NaN 21.928 0.383 1940 9 NaN NaN NaN NaN NaN NaN 17.595 -1.160 1940 10 NaN NaN NaN NaN NaN NaN 14.207 0.551 1940 11 NaN NaN NaN NaN NaN NaN 7.197 -0.668 1940 12 NaN NaN NaN NaN NaN NaN 5.951 1.919 1941 1 NaN NaN NaN NaN NaN NaN 5.356 1.742 1941 2 NaN NaN NaN NaN NaN NaN 7.334 1.686 1941 3 NaN NaN NaN NaN NaN NaN 7.892 0.763 1941 4 NaN NaN NaN NaN NaN NaN 8.266 -1.555 1941 5 NaN NaN NaN NaN NaN NaN 14.698 0.520