% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 171206 % Primary Name: JUNIPER FLAT CALIFORNIA % Record Type: TAVG % Country: United States % State: CA % Latitude: 33.77810 +/- 0.00005 % Longitude: -117.08500 +/- 0.00005 % Elevation (m): 646.20 +/- 0.50 % # of Months: 120 % % IDs: ghcnd - USR0000CJFL % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 0b834bc5ba48224eff8d8b5f6b49a016 % Raw Data Hash: dd26d67845356bdefb2589a4451c82f0 % Adj Data Hash: 7faca55e70b2153daaf19f1f76468878 % % 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 1989 5 NaN NaN NaN NaN NaN NaN 20.578 0.646 1989 6 NaN NaN NaN NaN NaN NaN 24.933 0.098 1989 7 NaN NaN NaN NaN NaN NaN 30.160 1.409 1989 8 NaN NaN NaN NaN NaN NaN 26.516 -1.246 1989 9 NaN NaN NaN NaN NaN NaN 24.497 0.125 1989 10 NaN NaN NaN NaN NaN NaN 18.134 -0.250 1989 11 NaN NaN NaN NaN NaN NaN 13.295 1.368 1989 12 NaN NaN NaN NaN NaN NaN 8.829 0.906 1990 1 NaN NaN NaN NaN NaN NaN 7.802 0.169 1990 2 NaN NaN NaN NaN NaN NaN 8.891 -1.042 1990 3 NaN NaN NaN NaN NaN NaN 13.357 1.327 1990 4 NaN NaN NaN NaN NaN NaN 17.356 1.971 1990 5 16.252 -3.287 0 0 17.516 -2.023 19.615 -0.317 1990 6 22.690 -1.753 0 0 24.060 -0.383 25.968 1.133 1990 7 25.502 -2.857 0 0 26.566 -1.792 29.883 1.132 1990 8 23.723 -3.647 0 0 24.190 -3.179 27.083 -0.679 1990 9 23.620 -0.359 0 0 23.648 -0.331 25.268 0.896 1990 10 20.773 2.781 0 0 20.626 2.634 19.983 1.598 1990 11 15.178 3.644 0 0 14.846 3.311 12.399 0.472 1990 12 10.365 2.834 0 0 9.827 2.297 5.264 -2.659 1991 1 10.423 3.183 0 0 10.010 2.771 7.764 0.132 1991 2 15.302 5.761 0 0 15.404 5.864 13.398 3.464 1991 3 9.221 -2.416 0 0 9.862 -1.775 9.231 -2.798 1991 4 14.088 -0.904 0 0 15.084 0.092 15.173 -0.212 1991 5 15.513 -4.026 0 0 16.777 -2.762 18.366 -1.566 1991 6 18.558 -5.884 0 0 19.929 -4.514 23.300 -1.536 1991 7 21.993 -6.366 0 0 23.058 -5.301 28.451 -0.300 1991 8 24.461 -2.908 0 0 24.929 -2.440 27.301 -0.461 1991 9 24.414 0.436 0 0 24.442 0.463 25.853 1.481 1991 10 20.845 2.853 0 0 20.699 2.707 21.245 2.860 1991 11 15.525 3.991 0 0 15.192 3.658 12.999 1.072 1991 12 11.190 3.660 0 0 10.653 3.123 8.190 0.267 1992 1 11.476 4.236 0 0 11.064 3.824 7.921 0.289 1992 2 12.466 2.925 0 0 12.568 3.027 11.475 1.541 1992 3 11.353 -0.284 0 0 11.994 0.357 11.705 -0.325 1992 4 17.570 2.578 0 0 18.566 3.573 18.218 2.833 1992 5 17.065 -2.474 0 0 18.328 -1.211 22.241 2.309 1992 6 19.612 -4.830 0 0 20.982 -3.460 24.147 -0.688 1992 7 23.673 -4.686 0 0 24.737 -3.621 27.967 -0.785 1992 8 26.474 -0.895 0 0 26.942 -0.427 28.653 0.891 1992 9 24.950 0.971 0 0 24.978 0.999 26.045 1.673 1992 10 19.498 1.506 0 0 19.352 1.360 19.932 1.547 1992 11 14.729 3.195 0 0 14.396 2.862 11.126 -0.802 1992 12 8.721 1.191 0 0 8.184 0.653 5.711 -2.212 1993 1 9.592 2.352 0 0 9.180 1.940 7.133 -0.499 1993 2 10.037 0.496 0 0 10.139 0.599 9.251 -0.682 1993 3 14.461 2.824 0 0 15.102 3.465 13.941 1.911 1993 4 16.433 1.441 0 0 17.429 2.437 17.103 1.718 1993 5 17.495 -2.044 0 0 18.759 -0.780 21.093 1.161 1993 6 21.121 -3.321 0 0 22.491 -1.951 24.503 -0.332 1993 7 21.432 -6.926 0 0 22.497 -5.862 27.247 -1.505 1993 8 24.148 -3.221 0 0 24.616 -2.753 27.330 -0.432 1993 9 23.573 -0.405 0 0 23.601 -0.378 24.911 0.539 1993 10 19.355 1.363 0 0 19.208 1.216 19.264 0.879 1993 11 13.860 2.326 0 0 13.527 1.993 11.097 -0.830 1993 12 11.582 4.052 0 0 11.045 3.515 7.716 -0.207 1994 1 13.135 5.896 0 0 12.723 5.484 9.509 1.877 1994 2 10.168 0.627 0 0 10.270 0.730 8.615 -1.318 1994 3 13.666 2.029 0 0 14.307 2.670 14.270 2.240 1994 4 14.732 -0.261 0 0 15.727 0.735 16.830 1.445 1994 5 16.006 -3.533 0 0 17.270 -2.269 19.758 -0.174 1994 6 23.810 -0.632 0 0 25.180 0.738 27.446 2.611 1994 7 24.176 -4.183 0 0 25.240 -3.118 30.095 1.344 1994 8 27.979 0.610 0 0 28.447 1.078 29.529 1.767 1994 9 23.612 -0.367 0 0 23.639 -0.339 25.276 0.904 1994 10 17.615 -0.377 0 0 17.468 -0.524 17.924 -0.461 1994 11 9.787 -1.748 0 0 9.454 -2.080 8.111 -3.816 1994 12 10.955 3.425 0 0 10.417 2.887 7.622 -0.301 1995 1 9.763 2.523 0 0 9.351 2.111 8.025 0.392 1995 2 14.416 4.876 0 0 14.518 4.978 13.728 3.795 1995 3 12.263 0.626 0 0 12.904 1.267 12.125 0.095 1995 4 13.430 -1.562 0 0 14.426 -0.567 14.923 -0.462 1995 5 14.184 -5.355 0 0 15.448 -4.091 17.859 -2.073 1995 6 19.817 -4.626 0 4 18.350 -6.092 23.389 -1.446 1995 7 25.608 -2.751 0 0 24.469 -3.890 29.223 0.472 1995 8 27.815 0.445 0 0 27.314 -0.055 29.343 1.581 1995 9 25.223 1.245 0 0 25.194 1.215 26.728 2.357 1995 10 21.079 3.087 0 0 21.236 3.244 20.271 1.886 1995 11 18.920 7.386 0 0 19.276 7.742 15.810 3.882 1995 12 13.000 5.470 0 0 13.575 6.045 9.566 1.643 1996 1 12.561 5.322 0 0 13.002 5.763 10.102 2.470 1996 2 12.693 3.153 0 0 12.584 3.043 12.109 2.175 1996 3 13.782 2.145 0 0 13.096 1.459 13.244 1.214 1996 4 17.525 2.533 0 0 16.459 1.467 17.522 2.136 1996 5 18.982 -0.557 0 0 17.630 -1.909 21.723 1.791 1996 6 22.542 -1.901 0 0 21.075 -3.367 26.137 1.301 1996 7 27.044 -1.315 0 0 25.904 -2.454 31.025 2.274 1996 8 27.200 -0.169 0 0 26.699 -0.670 29.526 1.764 1996 9 23.017 -0.962 0 0 22.987 -0.992 24.762 0.390 1996 10 18.823 0.831 0 0 18.979 0.988 18.349 -0.036 1996 11 15.073 3.539 0 0 15.429 3.895 12.950 1.023 1996 12 12.555 5.024 1 0 NaN NaN 8.981 1.058 1997 1 22.664 15.425 1 0 NaN NaN 8.832 1.200 1997 2 11.463 1.922 0 0 11.353 1.812 10.496 0.563 1997 3 16.427 4.790 0 0 15.742 4.105 15.447 3.417 1997 4 15.657 0.664 0 0 14.591 -0.401 16.310 0.924 1997 5 22.274 2.735 0 0 20.922 1.383 24.313 4.381 1997 6 20.593 -3.849 0 0 19.127 -5.315 24.552 -0.284 1997 7 23.903 -4.455 0 0 22.764 -5.595 27.866 -0.885 1997 8 26.470 -0.899 0 0 25.970 -1.399 28.599 0.837 1997 9 25.893 1.915 0 0 25.864 1.885 25.851 1.480 1997 10 19.339 1.347 0 0 19.496 1.504 18.171 -0.214 1997 11 15.722 4.187 0 0 16.078 4.543 12.810 0.882 1997 12 11.094 3.563 0 0 11.669 4.138 6.972 -0.951 1998 1 11.718 4.478 0 0 12.159 4.919 9.036 1.403 1998 2 9.520 -0.021 0 0 9.410 -0.130 8.495 -1.438 1998 3 12.252 0.614 0 0 11.566 -0.071 11.486 -0.544 1998 4 13.562 -1.431 0 0 12.496 -2.496 13.131 -2.254 1998 5 14.447 -5.092 0 0 13.094 -6.445 16.243 -3.689 1998 6 18.878 -5.564 0 0 17.412 -7.030 22.085 -2.750 1998 7 26.303 -2.055 0 0 25.164 -3.195 29.716 0.964 1998 8 28.863 1.494 0 0 28.362 0.993 29.638 1.876 1998 9 22.747 -1.232 0 0 22.717 -1.262 23.685 -0.686 1998 10 18.813 0.821 0 0 18.970 0.978 17.481 -0.903 1998 11 14.792 3.257 0 0 15.148 3.613 11.969 0.042 1998 12 12.053 4.523 0 0 12.628 5.098 7.758 -0.165 1999 1 13.345 6.105 0 0 13.786 6.547 9.946 2.313 1999 2 12.454 2.913 0 0 12.344 2.803 10.481 0.548 1999 3 11.753 0.116 0 0 11.067 -0.570 11.505 -0.524 1999 4 12.358 -2.634 0 0 11.293 -3.700 12.809 -2.577 1999 5 17.255 -2.284 0 0 15.902 -3.637 19.823 -0.109 1999 6 20.958 -3.484 0 0 19.492 -4.950 24.346 -0.489 1999 7 24.981 -3.378 0 0 23.841 -4.517 28.205 -0.547 1999 8 25.995 -1.374 0 0 25.495 -1.875 27.149 -0.613 1999 9 23.587 -0.392 0 0 23.557 -0.422 25.333 0.961 1999 10 23.263 5.271 0 0 23.420 5.428 21.085 2.700 1999 11 17.747 6.212 0 0 18.103 6.568 14.050 2.123 1999 12 14.003 6.473 0 0 14.578 7.048 8.774 0.851 2000 1 13.823 6.583 0 0 14.264 7.024 10.402 2.769 2000 2 11.710 2.170 0 0 11.601 2.060 10.741 0.808 2000 3 13.169 1.532 0 0 12.484 0.846 12.495 0.465 2000 4 16.892 1.900 0 0 15.827 0.834 18.016 2.631 2000 5 NaN NaN NaN NaN NaN NaN 22.608 2.676 2000 6 NaN NaN NaN NaN NaN NaN 26.609 1.774 2000 7 NaN NaN NaN NaN NaN NaN 28.777 0.026 2000 8 NaN NaN NaN NaN NaN NaN 28.253 0.491 2000 9 NaN NaN NaN NaN NaN NaN 24.801 0.429 2000 10 NaN NaN NaN NaN NaN NaN 17.749 -0.635 2000 11 NaN NaN NaN NaN NaN NaN 9.742 -2.185 2000 12 NaN NaN NaN NaN NaN NaN 9.901 1.978 2001 1 NaN NaN NaN NaN NaN NaN 7.009 -0.623 2001 2 NaN NaN NaN NaN NaN NaN 8.288 -1.645 2001 3 NaN NaN NaN NaN NaN NaN 13.695 1.665 2001 4 NaN NaN NaN NaN NaN NaN 14.332 -1.054