% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28016 % Primary Name: POINT LOMA NAVY ELEC L % Record Type: TAVG % Country: United States % State: CA % Latitude: 32.71667 +/- 0.00833 % Longitude: -117.25000 +/- 0.00833 % Elevation (m): 92.00 +/- 0.05 % # of Months: 136 % % Alternate Names: POINT LOMA NAVY ELEC % % IDs: coop - 47017 % ncdc - 20001412 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 0b1c71d6097124360a5a71d525ee91ae % Raw Data Hash: e95f401435de96bcf673a9825511232d % Adj Data Hash: 7f693f27f19d897096a3a209e020d279 % % 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 13.024 -0.260 1930 2 NaN NaN NaN NaN NaN NaN 14.952 1.481 1930 3 NaN NaN NaN NaN NaN NaN 13.795 0.573 1930 4 NaN NaN NaN NaN NaN NaN 15.290 1.400 1930 5 NaN NaN NaN NaN NaN NaN 13.588 -1.670 1930 6 NaN NaN NaN NaN NaN NaN 16.355 -0.506 1930 7 NaN NaN NaN NaN NaN NaN 19.392 0.393 1930 8 NaN NaN NaN NaN NaN NaN 19.846 0.084 1930 9 NaN NaN NaN NaN NaN NaN 18.123 -1.725 1930 10 NaN NaN NaN NaN NaN NaN 18.131 -0.069 1930 11 NaN NaN NaN NaN NaN NaN 17.092 1.092 1930 12 NaN NaN NaN NaN NaN NaN 13.543 -0.354 1931 1 14.000 0.274 0 0 14.000 0.274 14.117 0.832 1931 2 14.889 0.975 0 0 14.889 0.975 14.559 1.087 1931 3 16.722 3.059 0 0 16.722 3.059 15.061 1.839 1931 4 17.556 3.224 0 0 17.556 3.224 16.039 2.149 1931 5 19.111 3.411 0 0 19.111 3.411 17.647 2.389 1931 6 20.333 3.031 0 0 20.333 3.031 17.912 1.052 1931 7 23.000 3.559 0 0 23.000 3.559 21.807 2.808 1931 8 23.056 2.852 0 0 23.056 2.852 21.620 1.858 1931 9 20.889 0.599 0 0 20.889 0.599 20.164 0.316 1931 10 19.111 0.469 0 0 19.111 0.469 18.908 0.708 1931 11 13.889 -2.553 0 0 13.889 -2.553 14.388 -1.612 1931 12 12.111 -2.228 0 0 12.111 -2.228 12.106 -1.791 1932 1 11.000 -2.726 0 0 11.000 -2.726 11.409 -1.875 1932 2 12.611 -1.302 0 0 12.611 -1.302 12.787 -0.685 1932 3 14.667 1.003 0 0 14.667 1.003 13.936 0.715 1932 4 15.667 1.335 0 0 15.667 1.335 14.059 0.168 1932 5 16.778 1.078 0 0 16.778 1.078 15.188 -0.070 1932 6 17.667 0.365 0 0 17.667 0.365 16.069 -0.791 1932 7 18.556 -0.885 0 0 18.556 -0.885 17.957 -1.042 1932 8 18.722 -1.482 0 0 18.722 -1.482 18.474 -1.288 1932 9 18.444 -1.846 0 0 18.444 -1.846 19.273 -0.575 1932 10 17.111 -1.531 0 0 17.111 -1.531 17.856 -0.344 1932 11 18.000 1.558 1 0 NaN NaN 18.152 2.153 1932 12 12.111 -2.228 0 0 12.111 -2.228 12.048 -1.849 1933 1 11.556 -2.171 0 0 11.556 -2.171 11.589 -1.696 1933 2 11.444 -2.469 0 0 11.444 -2.469 11.824 -1.648 1933 3 13.778 0.115 0 0 13.778 0.115 13.013 -0.208 1933 4 14.333 0.001 0 0 14.333 0.001 12.890 -1.000 1933 5 14.667 -1.033 0 0 14.667 -1.033 12.871 -2.387 1933 6 16.667 -0.635 0 0 16.667 -0.635 15.349 -1.511 1933 7 18.556 -0.885 0 0 18.556 -0.885 18.431 -0.569 1933 8 19.222 -0.982 0 0 19.222 -0.982 19.103 -0.660 1933 9 17.000 -3.290 0 0 17.000 -3.290 17.611 -2.237 1933 10 16.444 -2.197 0 0 16.444 -2.197 18.485 0.286 1933 11 16.889 0.447 0 0 16.889 0.447 17.201 1.201 1933 12 12.778 -1.561 0 0 12.778 -1.561 13.307 -0.589 1934 1 13.667 -0.059 0 0 13.667 -0.059 14.251 0.967 1934 2 14.167 0.253 0 0 14.167 0.253 14.799 1.328 1934 3 16.000 2.337 0 0 16.000 2.337 16.323 3.101 1934 4 16.833 2.501 0 0 16.833 2.501 15.960 2.070 1934 5 18.333 2.634 0 0 18.333 2.634 17.073 1.815 1934 6 18.278 0.976 0 0 18.278 0.976 15.597 -1.263 1934 7 20.556 1.115 0 0 20.556 1.115 19.557 0.558 1934 8 20.500 0.296 0 0 20.500 0.296 19.534 -0.228 1934 9 20.667 0.377 0 0 20.667 0.377 20.558 0.710 1934 10 18.222 -0.420 0 0 18.222 -0.420 18.523 0.323 1934 11 15.944 -0.497 0 0 15.944 -0.497 16.311 0.312 1934 12 15.056 0.717 0 0 15.056 0.717 15.151 1.254 1935 1 13.111 -0.615 0 0 13.111 -0.615 13.426 0.142 1935 2 14.000 0.087 0 0 14.000 0.087 14.469 0.998 1935 3 12.444 -1.219 0 0 12.444 -1.219 11.272 -1.949 1935 4 15.444 1.112 0 0 15.444 1.112 14.141 0.251 1935 5 16.556 0.856 0 0 16.556 0.856 14.722 -0.536 1935 6 17.278 -0.024 0 0 17.278 -0.024 16.335 -0.525 1935 7 19.889 0.448 0 0 19.889 0.448 18.588 -0.411 1935 8 20.889 0.685 0 0 20.889 0.685 20.422 0.660 1935 9 19.556 -0.734 0 0 19.556 -0.734 19.937 0.089 1935 10 17.889 -0.753 0 0 17.889 -0.753 18.009 -0.191 1935 11 14.444 -1.997 0 0 14.444 -1.997 14.710 -1.290 1935 12 14.111 -0.228 0 0 14.111 -0.228 14.228 0.332 1936 1 13.667 -0.059 0 0 13.667 -0.059 14.202 0.918 1936 2 13.333 -0.580 0 0 13.333 -0.580 13.420 -0.051 1936 3 14.111 0.448 0 0 14.111 0.448 13.714 0.493 1936 4 14.222 -0.110 0 0 14.222 -0.110 14.044 0.154 1936 5 17.556 1.856 0 0 17.556 1.856 16.280 1.022 1936 6 18.778 1.476 0 0 18.778 1.476 17.342 0.482 1936 7 21.222 1.781 0 0 21.222 1.781 20.514 1.515 1936 8 21.889 1.685 0 0 21.889 1.685 20.393 0.631 1936 9 20.111 -0.179 0 0 20.111 -0.179 19.909 0.060 1936 10 18.222 -0.420 0 0 18.222 -0.420 18.437 0.237 1936 11 18.056 1.614 0 0 18.056 1.614 17.690 1.690 1936 12 14.556 0.217 0 0 14.556 0.217 14.190 0.293 1937 1 9.333 -4.393 0 0 9.333 -4.393 9.197 -4.087 1937 2 12.000 -1.913 0 0 12.000 -1.913 12.314 -1.157 1937 3 13.556 -0.108 0 0 13.556 -0.108 12.608 -0.614 1937 4 14.889 0.557 0 0 14.889 0.557 13.914 0.024 1937 5 16.667 0.967 0 0 16.667 0.967 15.650 0.392 1937 6 18.000 0.698 0 0 18.000 0.698 16.846 -0.014 1937 7 20.111 0.670 0 0 20.111 0.670 19.418 0.419 1937 8 20.111 -0.093 0 0 20.111 -0.093 19.842 0.080 1937 9 20.222 -0.068 0 0 20.222 -0.068 20.953 1.104 1937 10 17.556 -1.086 0 0 17.556 -1.086 18.838 0.638 1937 11 15.111 -1.331 0 0 15.111 -1.331 16.309 0.310 1937 12 15.556 1.217 0 0 15.556 1.217 15.857 1.960 1938 1 14.944 1.218 0 0 14.944 1.218 15.314 2.030 1938 2 13.444 -0.469 0 0 13.444 -0.469 13.531 0.059 1938 3 14.111 0.448 0 0 14.111 0.448 12.647 -0.574 1938 4 15.444 1.112 0 0 15.444 1.112 14.201 0.311 1938 5 16.167 0.467 0 0 16.167 0.467 15.166 -0.091 1938 6 17.444 0.142 0 0 17.444 0.142 16.069 -0.792 1938 7 19.333 -0.108 0 0 19.333 -0.108 18.411 -0.588 1938 8 20.611 0.407 0 0 20.611 0.407 19.998 0.236 1938 9 20.444 0.154 0 0 20.444 0.154 21.259 1.411 1938 10 17.444 -1.197 0 0 17.444 -1.197 17.773 -0.427 1938 11 15.222 -1.219 0 0 15.222 -1.219 15.508 -0.492 1938 12 15.333 0.995 0 0 15.333 0.995 15.818 1.921 1939 1 13.000 -0.726 0 0 13.000 -0.726 13.280 -0.005 1939 2 11.056 -2.858 0 0 11.056 -2.858 10.986 -2.486 1939 3 12.556 -1.108 0 0 12.556 -1.108 11.954 -1.267 1939 4 15.611 1.279 0 0 15.611 1.279 15.136 1.246 1939 5 16.889 1.189 0 0 16.889 1.189 15.330 0.072 1939 6 18.278 0.976 0 0 18.278 0.976 16.445 -0.415 1939 7 19.889 0.448 0 0 19.889 0.448 18.909 -0.091 1939 8 20.944 0.740 0 0 20.944 0.740 19.977 0.215 1939 9 22.444 2.154 0 0 22.444 2.154 21.987 2.138 1939 10 19.778 1.136 0 0 19.778 1.136 19.344 1.144 1939 11 17.556 1.114 0 0 17.556 1.114 17.772 1.772 1939 12 15.889 1.550 0 0 15.889 1.550 16.451 2.554 1940 1 14.667 0.941 0 0 14.667 0.941 15.097 1.813 1940 2 14.333 0.420 0 0 14.333 0.420 14.354 0.883 1940 3 15.611 1.948 0 0 15.611 1.948 14.663 1.441 1940 4 16.556 2.224 0 0 16.556 2.224 15.256 1.365 1940 5 17.778 2.078 0 0 17.778 2.078 16.906 1.648 1940 6 17.889 0.587 0 0 17.889 0.587 16.687 -0.173 1940 7 19.333 -0.108 0 0 19.333 -0.108 18.712 -0.287 1940 8 19.944 -0.260 0 0 19.944 -0.260 19.061 -0.701 1940 9 19.833 -0.457 0 0 19.833 -0.457 19.500 -0.349 1940 10 18.556 -0.086 0 0 18.556 -0.086 19.058 0.858 1940 11 16.333 -0.108 0 0 16.333 -0.108 16.375 0.376 1940 12 16.111 1.772 0 0 16.111 1.772 16.038 2.142 1941 1 13.944 0.218 0 0 13.944 0.218 14.267 0.982 1941 2 14.889 0.975 0 0 14.889 0.975 15.012 1.540 1941 3 16.111 2.448 0 0 16.111 2.448 14.550 1.329 1941 4 15.222 0.890 0 0 15.222 0.890 13.532 -0.358 1941 5 18.444 2.745 0 0 18.444 2.745 17.259 2.001 1941 6 18.000 0.698 0 0 18.000 0.698 16.310 -0.551 1941 7 19.556 0.115 0 0 19.556 0.115 18.822 -0.177 1941 8 20.222 0.018 0 0 20.222 0.018 19.085 -0.677 1941 9 19.111 -1.179 0 0 19.111 -1.179 18.398 -1.450 1941 10 18.111 -0.531 0 0 18.111 -0.531 17.824 -0.376 1941 11 17.056 0.614 0 0 17.056 0.614 17.288 1.288 1941 12 13.667 -0.672 0 0 13.667 -0.672 13.732 -0.165 1942 1 13.833 0.107 0 0 13.833 0.107 14.193 0.909 1942 2 12.444 -1.469 0 0 12.444 -1.469 12.573 -0.899 1942 3 14.000 0.337 0 0 14.000 0.337 12.677 -0.544 1942 4 15.111 0.779 0 0 15.111 0.779 13.517 -0.373 1942 5 NaN NaN NaN NaN NaN NaN 14.955 -0.303 1942 6 NaN NaN NaN NaN NaN NaN 16.074 -0.786 1942 7 NaN NaN NaN NaN NaN NaN 19.150 0.151 1942 8 NaN NaN NaN NaN NaN NaN 18.990 -0.772 1942 9 NaN NaN NaN NaN NaN NaN 18.759 -1.090 1942 10 NaN NaN NaN NaN NaN NaN 18.453 0.253 1942 11 NaN NaN NaN NaN NaN NaN 16.505 0.505 1942 12 NaN NaN NaN NaN NaN NaN 14.291 0.394 1943 1 NaN NaN NaN NaN NaN NaN 14.033 0.749 1943 2 NaN NaN NaN NaN NaN NaN 14.991 1.520 1943 3 NaN NaN NaN NaN NaN NaN 13.859 0.638 1943 4 NaN NaN NaN NaN NaN NaN 14.585 0.694