% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28855 % Primary Name: ENVIRONM BUOY 46045 % Record Type: TAVG % Country: United States % Latitude: 33.83300 +/- 0.00050 % Longitude: -118.45000 +/- 0.00050 % Elevation (m): 3.00 +/- 0.05 % # of Months: 77 % % IDs: gsod - 996370-99999 % icao - DB637 % usaf - 996370 % % Sources: Global Summary of the Day % % Site Hash: 54720ecc2e68fa7f3584cf533558982d % Raw Data Hash: 93d7e1485234dd097496b535a91a8235 % Adj Data Hash: 4522454a2f00ab090be3f175833ed9ac % % 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 1991 10 NaN NaN NaN NaN NaN NaN 19.303 2.275 1991 11 NaN NaN NaN NaN NaN NaN 13.693 1.152 1991 12 NaN NaN NaN NaN NaN NaN 9.653 0.254 1992 1 NaN NaN NaN NaN NaN NaN 9.516 0.613 1992 2 NaN NaN NaN NaN NaN NaN 12.195 1.827 1992 3 NaN NaN NaN NaN NaN NaN 11.581 0.185 1992 4 NaN NaN NaN NaN NaN NaN 16.568 3.143 1992 5 NaN NaN NaN NaN NaN NaN 19.112 2.651 1992 6 NaN NaN NaN NaN NaN NaN 19.932 0.013 1992 7 NaN NaN NaN NaN NaN NaN 23.875 0.478 1992 8 NaN NaN NaN NaN NaN NaN 24.995 1.819 1992 9 NaN NaN NaN NaN NaN NaN 22.638 1.459 1992 10 18.516 1.268 1 0 NaN NaN 18.473 1.445 1992 11 17.431 4.670 0 0 17.431 4.670 13.042 0.501 1992 12 13.559 3.940 0 0 13.559 3.940 7.772 -1.627 1993 1 13.453 4.330 0 0 13.453 4.330 8.762 -0.141 1993 2 13.948 3.360 0 0 13.948 3.360 10.128 -0.240 1993 3 14.835 3.219 0 0 14.835 3.219 13.373 1.976 1993 4 15.531 1.885 0 0 15.531 1.885 15.171 1.745 1993 5 16.357 -0.324 0 0 16.357 -0.324 17.882 1.420 1993 6 17.870 -2.270 0 0 17.870 -2.270 20.962 1.042 1993 7 19.127 -4.490 0 0 19.127 -4.490 22.955 -0.442 1993 8 18.591 -4.805 0 0 18.591 -4.805 23.175 -0.001 1993 9 18.367 -3.032 0 0 18.367 -3.032 21.970 0.792 1993 10 18.263 1.015 0 0 18.263 1.015 18.253 1.224 1993 11 16.574 3.813 0 0 16.574 3.813 12.662 0.121 1993 12 14.582 4.963 0 0 14.582 4.963 9.409 0.010 1994 1 14.256 5.133 0 0 14.256 5.133 10.594 1.691 1994 2 13.419 2.831 0 0 13.419 2.831 9.735 -0.634 1994 3 14.355 2.739 0 0 14.355 2.739 13.216 1.820 1994 4 14.596 0.950 1 0 NaN NaN 14.448 1.022 1994 5 15.147 -1.534 1 0 NaN NaN 16.262 -0.199 1994 6 17.546 -2.594 0 0 17.546 -2.594 21.946 2.026 1994 7 17.498 -6.119 0 0 17.498 -6.119 24.179 0.782 1994 8 20.281 -3.115 0 0 20.281 -3.115 25.259 2.083 1994 9 19.044 -2.355 0 0 19.044 -2.355 21.990 0.811 1994 10 17.625 0.377 0 0 17.625 0.377 16.938 -0.090 1994 11 13.898 1.137 0 0 13.898 1.137 9.538 -3.003 1994 12 13.470 3.851 0 0 13.470 3.851 9.037 -0.362 1995 1 13.246 4.123 0 0 13.246 4.123 9.273 0.370 1995 2 14.788 4.200 0 0 14.788 4.200 13.488 3.119 1995 3 14.812 3.196 0 0 14.812 3.196 11.769 0.372 1995 4 13.874 0.228 0 0 13.874 0.228 13.377 -0.048 1995 5 13.855 -2.826 0 0 13.855 -2.826 14.966 -1.495 1995 6 15.689 -4.451 0 0 15.689 -4.451 19.076 -0.844 1995 7 17.507 -6.110 1 0 NaN NaN 24.000 0.603 1995 8 17.780 -5.616 0 0 17.780 -5.616 24.154 0.978 1995 9 18.839 -2.560 0 0 18.839 -2.560 22.932 1.754 1995 10 17.882 0.634 0 0 17.882 0.634 18.644 1.615 1995 11 15.781 3.020 0 0 15.781 3.020 15.028 2.486 1995 12 14.527 4.908 0 0 14.527 4.908 10.603 1.204 1996 1 13.894 4.771 0 0 13.894 4.771 10.400 1.497 1996 2 13.724 3.136 0 0 13.724 3.136 12.046 1.678 1996 3 13.694 2.078 0 0 13.694 2.078 12.238 0.841 1996 4 15.133 1.487 0 0 15.133 1.487 15.886 2.461 1996 5 16.640 -0.041 0 0 16.640 -0.041 18.167 1.706 1996 6 16.926 -3.214 0 0 16.926 -3.214 21.084 1.164 1996 7 17.167 -6.450 0 0 17.167 -6.450 25.211 1.814 1996 8 18.823 -4.573 0 0 18.823 -4.573 24.902 1.726 1996 9 18.689 -2.710 0 0 18.689 -2.710 21.535 0.356 1996 10 16.593 -0.655 0 0 16.593 -0.655 17.067 0.039 1996 11 15.685 2.924 0 0 15.685 2.924 13.340 0.798 1996 12 14.142 4.523 0 0 14.142 4.523 10.089 0.690 1997 1 13.550 4.427 0 0 13.550 4.427 9.596 0.693 1997 2 13.869 3.281 0 0 13.869 3.281 10.838 0.470 1997 3 14.461 2.845 0 0 14.461 2.845 13.937 2.541 1997 4 14.750 1.104 0 0 14.750 1.104 14.779 1.353 1997 5 17.797 1.116 0 0 17.797 1.116 20.573 4.112 1997 6 18.337 -1.803 0 0 18.337 -1.803 20.116 0.196 1997 7 18.713 -4.904 0 0 18.713 -4.904 23.165 -0.232 1997 8 20.145 -3.251 0 0 20.145 -3.251 24.111 0.935 1997 9 21.148 -0.251 0 0 21.148 -0.251 23.752 2.574 1997 10 19.142 1.894 0 0 19.142 1.894 17.683 0.655 1997 11 17.496 4.735 0 0 17.496 4.735 13.509 0.968 1997 12 15.197 5.578 0 0 15.197 5.578 8.611 -0.788 1998 1 14.649 5.526 0 0 14.649 5.526 9.847 0.944 1998 2 14.109 3.521 0 0 14.109 3.521 9.190 -1.178 1998 3 14.701 3.085 0 0 14.701 3.085 11.368 -0.028 1998 4 13.657 0.011 0 0 13.657 0.011 11.811 -1.615 1998 5 15.468 -1.213 0 0 15.468 -1.213 14.037 -2.424 1998 6 16.611 -3.529 0 0 16.611 -3.529 17.855 -2.065 1998 7 18.568 -5.049 0 0 18.568 -5.049 24.313 0.916 1998 8 19.522 -3.874 0 0 19.522 -3.874 25.504 2.328 1998 9 19.522 -1.877 0 0 19.522 -1.877 20.970 -0.208 1998 10 17.642 0.394 0 0 17.642 0.394 16.545 -0.483 1998 11 15.130 2.369 0 0 15.130 2.369 12.023 -0.518 1998 12 13.091 3.472 0 0 13.091 3.472 8.936 -0.463 1999 1 13.320 4.197 0 0 13.320 4.197 10.523 1.620 1999 2 12.591 2.002 1 0 NaN NaN 10.470 0.102 1999 3 NaN NaN NaN NaN NaN NaN 9.890 -1.506 1999 4 NaN NaN NaN NaN NaN NaN 11.663 -1.763 1999 5 NaN NaN NaN NaN NaN NaN 16.022 -0.439 1999 6 NaN NaN NaN NaN NaN NaN 19.145 -0.775 1999 7 NaN NaN NaN NaN NaN NaN 23.422 0.025 1999 8 NaN NaN NaN NaN NaN NaN 22.574 -0.602 1999 9 NaN NaN NaN NaN NaN NaN 21.334 0.155 1999 10 NaN NaN NaN NaN NaN NaN 19.901 2.873 1999 11 NaN NaN NaN NaN NaN NaN 13.959 1.418 1999 12 NaN NaN NaN NaN NaN NaN 10.772 1.373 2000 1 NaN NaN NaN NaN NaN NaN 10.787 1.884 2000 2 NaN NaN NaN NaN NaN NaN 10.649 0.281