% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 171704 % Primary Name: JORDAN CREEK CALIFORNIA % Record Type: TAVG % Country: United States % State: CA % Latitude: 39.78330 +/- 0.00005 % Longitude: -121.36670 +/- 0.00005 % Elevation (m): 1341.10 +/- 0.50 % # of Months: 56 % % IDs: ghcnd - USR0000CJOR % % Sources: Global Historical Climatology Network - Daily % % Site Hash: d2410f4207cf9b0de23ac7b2f5432b62 % Raw Data Hash: 70551409ddbcd36a8d06858c8e21a3ca % Adj Data Hash: 2a1307372fcd32cecb79b91f961f302d % % 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 1994 12 NaN NaN NaN NaN NaN NaN 2.499 -0.964 1995 1 NaN NaN NaN NaN NaN NaN 4.004 1.219 1995 2 NaN NaN NaN NaN NaN NaN 8.136 3.450 1995 3 NaN NaN NaN NaN NaN NaN 5.096 -0.922 1995 4 NaN NaN NaN NaN NaN NaN 7.474 -1.276 1995 5 NaN NaN NaN NaN NaN NaN 11.647 -1.488 1995 6 NaN NaN NaN NaN NaN NaN 15.365 -2.144 1995 7 NaN NaN NaN NaN NaN NaN 20.390 -0.959 1995 8 NaN NaN NaN NaN NaN NaN 20.534 0.011 1995 9 NaN NaN NaN NaN NaN NaN 19.102 1.319 1995 10 NaN NaN NaN NaN NaN NaN 14.540 1.913 1995 11 NaN NaN NaN NaN NaN NaN 10.760 3.703 1995 12 8.300 3.455 1 0 NaN NaN 5.231 1.768 1996 1 5.173 1.006 0 0 5.544 1.377 4.713 1.928 1996 2 6.493 0.425 0 0 6.864 0.796 6.439 1.753 1996 3 8.579 1.180 0 0 8.950 1.551 6.928 0.911 1996 4 10.103 -0.028 0 0 10.475 0.343 9.519 0.769 1996 5 12.868 -1.648 0 0 13.239 -1.277 13.070 -0.064 1996 6 18.618 -0.273 0 0 18.990 0.099 18.124 0.615 1996 7 23.319 0.589 0 0 23.691 0.960 23.639 2.291 1996 8 23.476 1.571 0 0 23.847 1.942 22.063 1.540 1996 9 18.383 -0.782 0 0 18.755 -0.410 17.573 -0.211 1996 10 12.987 -1.022 0 0 13.358 -0.651 12.529 -0.098 1996 11 9.404 0.965 0 0 9.775 1.336 7.903 0.846 1996 12 3.328 -1.517 1 0 NaN NaN 4.827 1.364 1997 1 NaN NaN NaN NaN NaN NaN 3.792 1.008 1997 2 NaN NaN NaN NaN NaN NaN 5.730 1.044 1997 3 11.492 4.093 1 0 NaN NaN 8.682 2.665 1997 4 9.298 -0.833 0 0 9.670 -0.462 9.328 0.578 1997 5 16.905 2.389 0 0 17.276 2.760 16.327 3.192 1997 6 17.335 -1.556 0 0 17.706 -1.185 16.893 -0.616 1997 7 22.295 -0.435 0 0 22.666 -0.064 21.416 0.067 1997 8 21.290 -0.614 0 0 21.662 -0.243 20.631 0.108 1997 9 19.115 -0.050 0 0 19.486 0.321 18.650 0.866 1997 10 12.915 -1.094 0 0 13.286 -0.723 12.224 -0.403 1997 11 8.063 -0.375 0 0 8.435 -0.004 7.931 0.874 1997 12 5.477 0.633 0 0 5.849 1.004 3.043 -0.420 1998 1 3.259 -0.907 1 0 NaN NaN 4.400 1.616 1998 2 NaN NaN NaN NaN NaN NaN 3.633 -1.053 1998 3 NaN NaN NaN NaN NaN NaN 6.203 0.186 1998 4 NaN NaN NaN NaN NaN NaN 7.368 -1.382 1998 5 NaN NaN NaN NaN NaN NaN 9.056 -4.079 1998 6 NaN NaN NaN NaN NaN NaN 15.243 -2.267 1998 7 24.688 1.958 1 0 NaN NaN 22.105 0.756 1998 8 25.527 3.623 0 0 25.899 3.994 22.158 1.635 1998 9 20.277 1.112 0 0 20.648 1.483 18.558 0.775 1998 10 13.956 -0.053 0 0 14.328 0.319 11.624 -1.003 1998 11 6.843 -1.595 0 0 7.215 -1.224 6.119 -0.938 1998 12 6.253 1.409 0 0 6.624 1.780 2.332 -1.131 1999 1 7.527 3.361 0 0 7.899 3.732 4.258 1.473 1999 2 4.734 -1.334 0 0 5.105 -0.963 4.125 -0.561 1999 3 7.900 0.501 1 0 NaN NaN 4.965 -1.052 1999 4 NaN NaN NaN NaN NaN NaN 7.412 -1.338 1999 5 NaN NaN NaN NaN NaN NaN 12.972 -0.163 1999 6 NaN NaN NaN NaN NaN NaN 16.727 -0.782 1999 7 NaN NaN NaN NaN NaN NaN 20.864 -0.485 1999 8 NaN NaN NaN NaN NaN NaN 19.323 -1.200 1999 9 NaN NaN NaN NaN NaN NaN 19.476 1.693 1999 10 NaN NaN NaN NaN NaN NaN 15.237 2.610 1999 11 NaN NaN NaN NaN NaN NaN 9.005 1.947 1999 12 NaN NaN NaN NaN NaN NaN 4.549 1.086 2000 1 NaN NaN NaN NaN NaN NaN 4.289 1.504 2000 2 NaN NaN NaN NaN NaN NaN 5.748 1.062 2000 3 NaN NaN NaN NaN NaN NaN 6.909 0.892 2000 4 NaN NaN NaN NaN NaN NaN 10.716 1.967 2000 5 14.231 -0.286 0 2 13.729 -0.787 13.808 0.673 2000 6 21.450 2.559 0 0 20.949 2.058 19.357 1.848 2000 7 21.545 -1.185 0 0 21.044 -1.686 20.398 -0.951 2000 8 23.418 1.513 0 0 22.917 1.012 21.115 0.592 2000 9 19.538 0.373 0 0 19.037 -0.128 17.762 -0.021 2000 10 12.944 -1.065 0 0 12.442 -1.567 12.112 -0.516 2000 11 6.962 -1.477 0 0 6.460 -1.978 4.960 -2.097 2000 12 8.829 3.984 0 0 8.328 3.483 5.434 1.971 2001 1 6.018 1.851 0 0 5.517 1.350 3.079 0.294 2001 2 4.022 -2.046 1 0 NaN NaN 3.434 -1.253 2001 3 10.515 3.116 0 0 10.013 2.614 8.547 2.530 2001 4 8.042 -2.090 0 0 7.540 -2.591 7.380 -1.370 2001 5 20.194 5.677 0 0 19.692 5.176 17.946 4.811 2001 6 19.648 0.757 0 0 19.147 0.256 18.586 1.077 2001 7 23.155 0.425 0 0 22.654 -0.077 21.719 0.371 2001 8 24.619 2.715 0 0 24.118 2.214 22.146 1.623 2001 9 22.047 2.882 0 0 21.545 2.381 19.614 1.831 2001 10 17.958 3.949 0 0 17.457 3.448 15.650 3.023 2001 11 8.725 0.286 0 0 8.224 -0.215 7.982 0.924 2001 12 3.950 -0.895 1 0 NaN NaN 3.290 -0.174 2002 1 4.196 0.030 0 0 3.695 -0.471 2.529 -0.256 2002 2 8.352 2.284 0 0 7.851 1.783 6.426 1.740 2002 3 4.405 -2.994 1 0 NaN NaN 5.479 -0.539 2002 4 NaN NaN NaN NaN NaN NaN 9.686 0.936 2002 5 NaN NaN NaN NaN NaN NaN 13.287 0.152 2002 6 NaN NaN NaN NaN NaN NaN 18.839 1.330 2002 7 NaN NaN NaN NaN NaN NaN 23.499 2.150 2002 8 NaN NaN NaN NaN NaN NaN 20.786 0.263 2002 9 NaN NaN NaN NaN NaN NaN 19.134 1.351 2002 10 NaN NaN NaN NaN NaN NaN 13.174 0.546 2002 11 NaN NaN NaN NaN NaN NaN 8.499 1.442 2002 12 NaN NaN NaN NaN NaN NaN 4.081 0.618 2003 1 NaN NaN NaN NaN NaN NaN 7.389 4.604 2003 2 NaN NaN NaN NaN NaN NaN 4.875 0.189 2003 3 NaN NaN NaN NaN NaN NaN 7.382 1.365