% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27982 % Primary Name: MORENA DAM % Record Type: TAVG % Country: United States % State: CA % Latitude: 32.68170 +/- 0.00005 % Longitude: -116.52080 +/- 0.00005 % Elevation (m): 937.30 +/- 0.05 % # of Months: 37 % % IDs: coop - 45840 % ghcnd - USC00045840 % ncdc - 20001403 % nws - CAMC1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 58cc5999edbbe06ccbcaf5e5f3480d0c % Raw Data Hash: 0e8a9d78aeaa23c7df6115fa354a5c50 % Adj Data Hash: b73acc21366f806162ded5a1baa7d94c % % 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 1895 8 NaN NaN NaN NaN NaN NaN 28.265 -0.690 1895 9 NaN NaN NaN NaN NaN NaN 25.901 -0.439 1895 10 NaN NaN NaN NaN NaN NaN 21.118 0.333 1895 11 NaN NaN NaN NaN NaN NaN 14.165 -0.636 1895 12 NaN NaN NaN NaN NaN NaN 10.034 -0.932 1896 1 NaN NaN NaN NaN NaN NaN 11.682 1.159 1896 2 NaN NaN NaN NaN NaN NaN 12.994 0.510 1896 3 NaN NaN NaN NaN NaN NaN 14.490 0.228 1896 4 NaN NaN NaN NaN NaN NaN 15.147 -2.025 1896 5 NaN NaN NaN NaN NaN NaN 20.939 -0.209 1896 6 NaN NaN NaN NaN NaN NaN 27.305 1.678 1896 7 NaN NaN NaN NaN NaN NaN 29.572 0.199 1896 8 22.185 -1.779 0 0 22.814 -1.150 28.508 -0.447 1896 9 15.944 -5.404 0 0 16.573 -4.775 25.248 -1.091 1896 10 14.211 -1.583 0 0 14.840 -0.954 20.763 -0.022 1896 11 9.593 -0.218 0 0 10.221 0.411 14.185 -0.616 1896 12 8.943 2.967 0 0 9.572 3.596 12.235 1.269 1897 1 7.545 2.013 0 0 8.174 2.642 10.682 0.159 1897 2 7.083 -0.410 0 0 7.712 0.219 11.259 -1.225 1897 3 6.559 -2.712 0 0 7.188 -2.083 11.784 -2.478 1897 4 12.296 0.115 0 0 12.925 0.744 17.938 0.767 1897 5 NaN NaN NaN NaN NaN NaN 21.936 0.787 1897 6 NaN NaN NaN NaN NaN NaN 24.855 -0.772 1897 7 NaN NaN NaN NaN NaN NaN 29.403 0.030 1897 8 NaN NaN NaN NaN NaN NaN 29.517 0.562 1897 9 NaN NaN NaN NaN NaN NaN 26.204 -0.136 1897 10 NaN NaN NaN NaN NaN NaN 18.789 -1.996 1897 11 NaN NaN NaN NaN NaN NaN 14.618 -0.183 1897 12 NaN NaN NaN NaN NaN NaN 9.757 -1.209 1898 1 NaN NaN NaN NaN NaN NaN 7.927 -2.595 1898 2 NaN NaN NaN NaN NaN NaN 13.404 0.920 1898 3 NaN NaN NaN NaN NaN NaN 12.159 -2.103 1898 4 NaN NaN NaN NaN NaN NaN 18.816 1.644 1898 5 NaN NaN NaN NaN NaN NaN 19.501 -1.648 1898 6 NaN NaN NaN NaN NaN NaN 25.343 -0.284 1898 7 NaN NaN NaN NaN NaN NaN 29.632 0.260 1898 8 NaN NaN NaN NaN NaN NaN 29.615 0.660 1898 9 NaN NaN NaN NaN NaN NaN 26.980 0.641 1898 10 NaN NaN NaN NaN NaN NaN 20.322 -0.463 1898 11 NaN NaN NaN NaN NaN NaN 13.964 -0.837 1898 12 NaN NaN NaN NaN NaN NaN 9.940 -1.026 1899 1 NaN NaN NaN NaN NaN NaN 10.817 0.294 1899 2 NaN NaN NaN NaN NaN NaN 12.045 -0.439 1899 3 11.400 2.129 1 0 NaN NaN 13.853 -0.408 1899 4 12.200 0.019 1 0 NaN NaN 18.025 0.853 1899 5 12.568 -3.590 0 2 12.322 -3.836 18.831 -2.317 1899 6 18.692 -1.944 0 0 18.446 -2.190 24.996 -0.631 1899 7 23.666 -0.716 0 0 23.420 -0.962 29.157 -0.216 1899 8 21.631 -2.334 0 0 21.385 -2.580 26.718 -2.237 1899 9 21.900 0.551 1 0 NaN NaN 27.566 1.227 1899 10 15.000 -0.794 1 0 NaN NaN 19.248 -1.538 1899 11 10.353 0.543 0 0 10.107 0.297 15.069 0.267 1899 12 8.853 2.878 0 0 8.607 2.632 11.688 0.723 1900 1 9.194 3.661 0 0 8.947 3.415 12.616 2.093 1900 2 10.536 3.042 0 0 10.290 2.796 13.472 0.988 1900 3 12.150 2.879 0 0 11.904 2.633 16.089 1.828 1900 4 9.407 -2.773 0 0 9.161 -3.020 15.086 -2.086 1900 5 17.043 0.885 0 0 16.797 0.639 21.550 0.401 1900 6 17.333 -3.303 0 0 17.087 -3.549 25.597 -0.029 1900 7 23.638 -0.744 0 0 23.392 -0.990 29.511 0.138 1900 8 19.265 -4.699 0 0 19.019 -4.945 26.667 -2.288 1900 9 18.204 -3.145 0 0 17.958 -3.391 24.359 -1.980 1900 10 15.430 -0.364 0 0 15.184 -0.610 20.371 -0.414 1900 11 15.204 5.393 0 0 14.958 5.147 17.099 2.298 1900 12 10.161 4.186 0 0 9.915 3.940 12.419 1.453 1901 1 7.611 2.079 0 0 7.365 1.833 10.634 0.111 1901 2 8.793 1.300 0 0 8.547 1.053 13.291 0.807 1901 3 11.648 2.378 0 0 11.402 2.132 15.137 0.875 1901 4 10.783 -1.398 0 0 10.537 -1.644 16.310 -0.862 1901 5 13.298 -2.860 0 0 13.052 -3.106 20.254 -0.894 1901 6 NaN NaN NaN NaN NaN NaN 24.323 -1.304 1901 7 NaN NaN NaN NaN NaN NaN 29.891 0.518 1901 8 25.250 1.286 1 0 NaN NaN 28.965 0.010 1901 9 NaN NaN NaN NaN NaN NaN 24.735 -1.604 1901 10 NaN NaN NaN NaN NaN NaN 20.960 0.175 1901 11 NaN NaN NaN NaN NaN NaN 16.171 1.370 1901 12 NaN NaN NaN NaN NaN NaN 12.209 1.243 1902 1 NaN NaN NaN NaN NaN NaN 11.245 0.723 1902 2 NaN NaN NaN NaN NaN NaN 12.828 0.344 1902 3 NaN NaN NaN NaN NaN NaN 12.613 -1.648 1902 4 NaN NaN NaN NaN NaN NaN 17.400 0.228 1902 5 NaN NaN NaN NaN NaN NaN 20.438 -0.711 1902 6 NaN NaN NaN NaN NaN NaN 25.368 -0.258 1902 7 NaN NaN NaN NaN NaN NaN 27.615 -1.757 1902 8 NaN NaN NaN NaN NaN NaN 27.495 -1.460