% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 171414 % Primary Name: CAHOON CALIFORNIA % Record Type: TAVG % Country: United States % State: CA % Latitude: 36.34690 +/- 0.00005 % Longitude: -121.51080 +/- 0.00005 % Elevation (m): 682.80 +/- 0.50 % # of Months: 78 % % IDs: ghcnd - USR0000CCAH % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 6c1d9d2b7c22535c9ba9674691183418 % Raw Data Hash: 7332abd66a3e41124d4ab2840e8d1cd2 % Adj Data Hash: 35a15a572bbbe2e3f632717b72c36ddb % % 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 15.941 0.594 1989 6 NaN NaN NaN NaN NaN NaN 18.912 0.629 1989 7 NaN NaN NaN NaN NaN NaN 21.190 0.517 1989 8 NaN NaN NaN NaN NaN NaN 19.699 -0.837 1989 9 NaN NaN NaN NaN NaN NaN 19.305 -0.157 1989 10 NaN NaN NaN NaN NaN NaN 16.446 0.247 1989 11 NaN NaN NaN NaN NaN NaN 12.723 0.722 1989 12 NaN NaN NaN NaN NaN NaN 9.290 0.159 1990 1 NaN NaN NaN NaN NaN NaN 9.156 0.311 1990 2 NaN NaN NaN NaN NaN NaN 9.042 -1.243 1990 3 NaN NaN NaN NaN NaN NaN 11.630 0.696 1990 4 NaN NaN NaN NaN NaN NaN 14.593 2.101 1990 5 13.629 -0.644 0 0 13.629 -0.644 15.239 -0.108 1990 6 17.978 0.769 0 0 17.978 0.769 18.778 0.496 1990 7 22.467 2.868 1 0 NaN NaN 21.820 1.147 1990 8 27.621 8.158 1 0 NaN NaN 21.017 0.481 1990 9 18.600 0.212 1 0 NaN NaN 20.174 0.712 1990 10 NaN NaN NaN NaN NaN NaN 17.729 1.529 1990 11 NaN NaN NaN NaN NaN NaN 12.159 0.158 1990 12 NaN NaN NaN NaN NaN NaN 6.595 -2.536 1991 1 8.507 0.735 1 0 NaN NaN 9.134 0.289 1991 2 12.300 3.089 0 0 12.300 3.089 12.763 2.479 1991 3 6.261 -3.599 0 0 6.261 -3.599 8.866 -2.068 1991 4 9.807 -1.612 0 0 9.807 -1.612 12.035 -0.457 1991 5 -7.262 -21.536 1 0 NaN NaN 13.993 -1.353 1991 6 -21.667 -38.875 1 0 NaN NaN 16.773 -1.509 1991 7 19.450 -0.149 1 0 NaN NaN 21.021 0.348 1991 8 18.924 -0.539 0 0 18.924 -0.539 20.089 -0.447 1991 9 21.745 3.357 1 0 NaN NaN 20.962 1.500 1991 10 NaN NaN NaN NaN NaN NaN 18.475 2.276 1991 11 NaN NaN NaN NaN NaN NaN 13.009 1.008 1991 12 NaN NaN NaN NaN NaN NaN 9.460 0.329 1992 1 9.471 1.700 0 0 9.471 1.700 9.059 0.214 1992 2 10.390 1.179 0 0 10.390 1.179 12.404 2.119 1992 3 8.985 -0.875 0 0 8.985 -0.875 11.739 0.805 1992 4 13.242 1.823 0 0 13.242 1.823 15.310 2.818 1992 5 16.706 2.433 0 0 16.706 2.433 18.078 2.731 1992 6 17.122 -0.087 0 0 17.122 -0.087 18.419 0.137 1992 7 19.976 0.377 0 0 19.976 0.377 21.417 0.744 1992 8 22.529 3.066 0 0 22.529 3.066 21.787 1.251 1992 9 19.955 1.567 0 0 19.955 1.567 20.378 0.916 1992 10 17.108 1.982 0 0 17.108 1.982 18.195 1.996 1992 11 12.355 1.428 0 0 12.355 1.428 12.706 0.704 1992 12 7.279 -0.778 0 0 7.279 -0.778 8.290 -0.841 1993 1 7.523 -0.249 0 0 7.523 -0.249 8.999 0.154 1993 2 7.226 -1.985 1 0 NaN NaN 10.331 0.046 1993 3 11.315 1.454 0 0 11.315 1.454 13.102 2.168 1993 4 10.633 -0.785 0 0 10.633 -0.785 13.214 0.722 1993 5 13.444 -0.830 0 0 13.444 -0.830 16.145 0.798 1993 6 17.786 0.577 0 0 17.786 0.577 19.114 0.832 1993 7 19.423 -0.177 0 0 19.423 -0.177 19.996 -0.677 1993 8 20.110 0.647 0 0 20.110 0.647 20.834 0.298 1993 9 19.680 1.292 0 0 19.680 1.292 19.971 0.509 1993 10 17.271 2.145 0 0 17.271 2.145 17.800 1.601 1993 11 12.188 1.261 0 0 12.188 1.261 12.129 0.128 1993 12 9.081 1.023 0 0 9.081 1.023 9.234 0.103 1994 1 11.421 3.650 0 0 11.421 3.650 10.275 1.430 1994 2 9.198 -0.013 0 0 9.198 -0.013 9.683 -0.602 1994 3 11.184 1.324 0 0 11.184 1.324 12.595 1.662 1994 4 12.158 0.740 0 0 12.158 0.740 13.401 0.908 1994 5 13.542 -0.731 0 0 13.542 -0.731 15.290 -0.057 1994 6 18.128 0.920 0 0 18.128 0.920 18.862 0.579 1994 7 20.697 1.097 0 0 20.697 1.097 20.254 -0.419 1994 8 21.395 1.932 0 0 21.395 1.932 21.163 0.626 1994 9 18.923 0.535 0 0 18.923 0.535 19.684 0.223 1994 10 14.998 -0.127 0 0 14.998 -0.127 16.049 -0.151 1994 11 8.922 -2.006 0 0 8.922 -2.006 9.084 -2.917 1994 12 7.934 -0.124 0 0 7.934 -0.124 8.361 -0.770 1995 1 8.800 1.029 0 0 8.800 1.029 10.700 1.855 1995 2 12.011 2.800 0 0 12.011 2.800 12.913 2.628 1995 3 9.763 -0.097 0 0 9.763 -0.097 11.595 0.661 1995 4 10.957 -0.462 0 0 10.957 -0.462 12.600 0.108 1995 5 12.016 -2.257 0 0 12.016 -2.257 14.546 -0.801 1995 6 15.803 -1.405 0 0 15.803 -1.405 17.543 -0.739 1995 7 19.706 0.107 0 0 19.706 0.107 21.120 0.447 1995 8 21.008 1.545 0 0 21.008 1.545 21.036 0.499 1995 9 19.382 0.994 0 0 19.382 0.994 20.201 0.739 1995 10 17.834 2.708 0 0 17.834 2.708 17.746 1.547 1995 11 15.135 4.208 0 0 15.135 4.208 15.027 3.026 1995 12 7.358 -0.699 0 0 7.358 -0.699 10.994 1.863 1996 1 9.937 2.166 0 0 9.937 2.166 10.563 1.718 1996 2 10.128 0.917 0 0 10.128 0.917 12.446 2.161 1996 3 11.512 1.652 0 0 11.512 1.652 12.560 1.626 1996 4 12.192 0.773 0 0 12.192 0.773 14.504 2.012 1996 5 14.811 0.538 0 0 14.811 0.538 16.724 1.377 1996 6 18.302 1.093 0 0 18.302 1.093 18.926 0.644 1996 7 23.594 3.994 1 0 NaN NaN 22.563 1.890 1996 8 23.206 3.744 0 0 23.206 3.744 21.735 1.198 1996 9 18.922 0.534 0 0 18.922 0.534 19.151 -0.310 1996 10 15.732 0.607 0 0 15.732 0.607 16.373 0.174 1996 11 10.197 -0.731 0 0 10.197 -0.731 12.456 0.455 1996 12 6.932 -1.126 1 0 NaN NaN 10.642 1.511 1997 1 10.939 3.168 1 0 NaN NaN 10.355 1.510 1997 2 8.370 -0.841 0 0 8.370 -0.841 10.947 0.662 1997 3 12.502 2.642 0 0 12.502 2.642 13.146 2.212 1997 4 9.700 -1.719 1 0 NaN NaN 14.044 1.551 1997 5 NaN NaN NaN NaN NaN NaN 19.270 3.923 1997 6 NaN NaN NaN NaN NaN NaN 18.476 0.194 1997 7 NaN NaN NaN NaN NaN NaN 20.983 0.309 1997 8 NaN NaN NaN NaN NaN NaN 21.542 1.006 1997 9 NaN NaN NaN NaN NaN NaN 21.615 2.153 1997 10 NaN NaN NaN NaN NaN NaN 16.561 0.361 1997 11 NaN NaN NaN NaN NaN NaN 13.450 1.449 1997 12 NaN NaN NaN NaN NaN NaN 8.865 -0.266 1998 1 NaN NaN NaN NaN NaN NaN 10.283 1.438 1998 2 NaN NaN NaN NaN NaN NaN 9.970 -0.315 1998 3 NaN NaN NaN NaN NaN NaN 11.325 0.391 1998 4 NaN NaN NaN NaN NaN NaN 11.996 -0.496