% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 171277 % Primary Name: TEMESCAL CALIFORNIA % Record Type: TAVG % Country: United States % State: CA % Latitude: 34.48330 +/- 0.00005 % Longitude: -118.60000 +/- 0.00005 % Elevation (m): 323.10 +/- 0.50 % # of Months: 76 % % IDs: ghcnd - USR0000CTEM % % Sources: Global Historical Climatology Network - Daily % % Site Hash: de9879a80db49ebfa6da22fcee44b31a % Raw Data Hash: d1315875214616e095c4695954a8dc47 % Adj Data Hash: ce3c579414d44ad1c3fb9f123304c02e % % 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 1984 1 NaN NaN NaN NaN NaN NaN 10.890 1.987 1984 2 NaN NaN NaN NaN NaN NaN 11.259 0.891 1984 3 NaN NaN NaN NaN NaN NaN 13.200 1.804 1984 4 NaN NaN NaN NaN NaN NaN 13.682 0.256 1984 5 NaN NaN NaN NaN NaN NaN 19.321 2.860 1984 6 NaN NaN NaN NaN NaN NaN 20.176 0.256 1984 7 NaN NaN NaN NaN NaN NaN 25.416 2.019 1984 8 NaN NaN NaN NaN NaN NaN 24.490 1.313 1984 9 NaN NaN NaN NaN NaN NaN 24.545 3.366 1984 10 NaN NaN NaN NaN NaN NaN 16.105 -0.924 1984 11 NaN NaN NaN NaN NaN NaN 11.131 -1.411 1984 12 NaN NaN NaN NaN NaN NaN 7.521 -1.878 1985 1 7.982 -1.404 1 0 NaN NaN 8.363 -0.540 1985 2 11.017 0.166 0 0 11.017 0.166 10.610 0.242 1985 3 11.843 -0.036 1 0 NaN NaN 9.975 -1.421 1985 4 16.537 2.629 0 0 16.537 2.629 15.364 1.938 1985 5 15.935 -1.009 0 0 15.935 -1.009 16.077 -0.384 1985 6 22.085 1.683 1 0 NaN NaN 21.258 1.338 1985 7 30.967 7.087 1 0 NaN NaN 25.254 1.857 1985 8 NaN NaN NaN NaN NaN NaN 22.915 -0.261 1985 9 20.000 -1.661 1 0 NaN NaN 19.563 -1.616 1985 10 17.803 0.292 0 0 17.803 0.292 17.166 0.138 1985 11 17.550 4.526 1 0 NaN NaN 11.006 -1.535 1985 12 NaN NaN NaN NaN NaN NaN 10.075 0.676 1986 1 11.372 1.986 1 0 NaN NaN 12.234 3.331 1986 2 12.383 1.532 0 0 12.383 1.532 11.805 1.437 1986 3 13.488 1.609 0 0 13.488 1.609 13.000 1.604 1986 4 14.158 0.250 0 0 14.158 0.250 13.932 0.506 1986 5 16.942 -0.002 0 0 16.942 -0.002 17.028 0.567 1986 6 20.308 -0.095 1 0 NaN NaN 20.664 0.745 1986 7 21.642 -2.238 0 0 21.642 -2.238 22.845 -0.552 1986 8 24.394 0.735 0 0 24.394 0.735 23.925 0.749 1986 9 17.570 -4.091 0 0 17.570 -4.091 18.490 -2.689 1986 10 17.461 -0.050 0 0 17.461 -0.050 17.019 -0.009 1986 11 15.390 2.366 0 0 15.390 2.366 14.011 1.470 1986 12 11.010 1.128 0 0 11.010 1.128 9.611 0.211 1987 1 9.192 -0.194 0 0 9.192 -0.194 8.029 -0.874 1987 2 10.846 -0.005 0 0 10.846 -0.005 10.782 0.414 1987 3 11.418 -0.461 0 0 11.418 -0.461 11.069 -0.327 1987 4 17.480 3.572 0 0 17.480 3.572 16.319 2.894 1987 5 18.200 1.256 0 0 18.200 1.256 17.859 1.398 1987 6 19.741 -0.661 0 0 19.741 -0.661 20.624 0.705 1987 7 19.674 -4.206 0 0 19.674 -4.206 21.469 -1.928 1987 8 22.202 -1.457 0 0 22.202 -1.457 22.714 -0.462 1987 9 21.752 0.090 0 0 21.752 0.090 22.095 0.917 1987 10 19.537 2.025 0 0 19.537 2.025 19.512 2.483 1987 11 13.018 -0.006 0 0 13.018 -0.006 12.290 -0.251 1987 12 7.747 -2.135 0 0 7.747 -2.135 7.132 -2.267 1988 1 10.206 0.821 0 0 10.206 0.821 9.083 0.180 1988 2 13.464 2.613 0 0 13.464 2.613 12.331 1.963 1988 3 14.282 2.403 0 0 14.282 2.403 13.385 1.988 1988 4 14.638 0.730 0 0 14.638 0.730 14.244 0.818 1988 5 17.371 0.427 0 0 17.371 0.427 16.859 0.398 1988 6 18.973 -1.429 0 0 18.973 -1.429 19.324 -0.595 1988 7 23.360 -0.520 0 0 23.360 -0.520 24.872 1.475 1988 8 22.340 -1.319 0 0 22.340 -1.319 22.943 -0.233 1988 9 21.348 -0.313 0 0 21.348 -0.313 21.329 0.151 1988 10 18.760 1.249 0 0 18.760 1.249 18.772 1.744 1988 11 13.161 0.137 0 0 13.161 0.137 12.273 -0.268 1988 12 10.103 0.221 0 0 10.103 0.221 8.621 -0.779 1989 1 9.779 0.393 0 0 9.779 0.393 8.278 -0.625 1989 2 9.234 -1.617 0 0 9.234 -1.617 8.960 -1.409 1989 3 12.958 1.079 0 0 12.958 1.079 12.936 1.540 1989 4 17.072 3.163 0 0 17.072 3.163 16.946 3.520 1989 5 16.665 -0.279 0 0 16.665 -0.279 16.776 0.315 1989 6 19.319 -1.084 0 0 19.319 -1.084 20.119 0.199 1989 7 NaN NaN NaN NaN NaN NaN 24.499 1.102 1989 8 NaN NaN NaN NaN NaN NaN 22.027 -1.149 1989 9 NaN NaN NaN NaN NaN NaN 21.187 0.008 1989 10 17.600 0.089 1 0 NaN NaN 16.948 -0.080 1989 11 15.587 2.563 1 0 NaN NaN 14.161 1.620 1989 12 13.652 3.771 1 0 NaN NaN 10.597 1.198 1990 1 12.065 2.679 0 0 12.065 2.679 9.516 0.613 1990 2 11.586 0.735 0 0 11.586 0.735 9.492 -0.877 1990 3 13.026 1.147 0 0 13.026 1.147 12.147 0.750 1990 4 16.827 2.918 0 0 16.827 2.918 15.404 1.979 1990 5 17.261 0.317 0 0 17.261 0.317 16.500 0.039 1990 6 21.891 1.489 0 0 21.891 1.489 21.185 1.265 1990 7 25.703 1.823 0 0 25.703 1.823 25.217 1.820 1990 8 23.624 -0.035 0 0 23.624 -0.035 23.132 -0.045 1990 9 22.447 0.785 0 0 22.447 0.785 21.959 0.780 1990 10 18.410 0.899 1 0 NaN NaN 19.003 1.974 1990 11 14.396 1.372 1 0 NaN NaN 13.053 0.512 1990 12 10.360 0.478 0 0 10.360 0.478 7.537 -1.862 1991 1 11.355 1.969 0 0 11.355 1.969 9.315 0.412 1991 2 6.900 -3.951 1 0 NaN NaN 13.127 2.759 1991 3 10.174 -1.705 0 0 10.174 -1.705 9.175 -2.221 1991 4 17.988 4.080 0 0 17.988 4.080 13.406 -0.019 1991 5 15.279 -1.665 0 0 15.279 -1.665 15.279 -1.182 1991 6 18.205 -2.198 0 0 18.205 -2.198 18.548 -1.371 1991 7 21.739 -2.141 0 0 21.739 -2.141 23.303 -0.094 1991 8 23.023 -0.636 0 0 23.023 -0.636 22.378 -0.798 1991 9 22.617 0.955 0 0 22.617 0.955 22.483 1.304 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