% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 11781 % Primary Name: LISHE % Record Type: TAVG % Country: China % Latitude: 29.81700 +/- 0.00050 % Longitude: 121.46700 +/- 0.00050 % Elevation (m): 4.00 +/- 0.05 % # of Months: 53 % % IDs: gsod - 582390-99999 % icao - ZSNB % usaf - 582390 % % Sources: Global Summary of the Day % % Site Hash: ab34775756cd56693cea71c8b6661218 % Raw Data Hash: cb3e5acb3734379794a0ac66a9faae00 % Adj Data Hash: b69c856335fe1086b4ad4487b2624140 % % 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 2006 1 NaN NaN NaN NaN NaN NaN 6.646 1.701 2006 2 NaN NaN NaN NaN NaN NaN 6.535 0.679 2006 3 NaN NaN NaN NaN NaN NaN 10.859 1.425 2006 4 NaN NaN NaN NaN NaN NaN 16.301 1.683 2006 5 NaN NaN NaN NaN NaN NaN 19.933 0.687 2006 6 NaN NaN NaN NaN NaN NaN 23.860 0.342 2006 7 NaN NaN NaN NaN NaN NaN 28.779 0.961 2006 8 NaN NaN NaN NaN NaN NaN 29.195 1.345 2006 9 NaN NaN NaN NaN NaN NaN 23.595 -0.645 2006 10 NaN NaN NaN NaN NaN NaN 21.633 2.887 2006 11 NaN NaN NaN NaN NaN NaN 16.204 2.586 2006 12 NaN NaN NaN NaN NaN NaN 8.445 0.617 2007 1 5.222 -0.009 1 0 NaN NaN 5.975 1.030 2007 2 NaN NaN NaN NaN NaN NaN 10.058 4.202 2007 3 NaN NaN NaN NaN NaN NaN 11.529 2.094 2007 4 NaN NaN NaN NaN NaN NaN 14.860 0.243 2007 5 NaN NaN NaN NaN NaN NaN 21.508 2.262 2007 6 NaN NaN NaN NaN NaN NaN 24.001 0.483 2007 7 NaN NaN NaN NaN NaN NaN 29.657 1.839 2007 8 NaN NaN NaN NaN NaN NaN 28.441 0.591 2007 9 NaN NaN NaN NaN NaN NaN 24.534 0.294 2007 10 NaN NaN NaN NaN NaN NaN 19.916 1.170 2007 11 NaN NaN NaN NaN NaN NaN 14.164 0.546 2007 12 NaN NaN NaN NaN NaN NaN 9.534 1.707 2008 1 NaN NaN NaN NaN NaN NaN 4.898 -0.047 2008 2 NaN NaN NaN NaN NaN NaN 4.314 -1.541 2008 3 NaN NaN NaN NaN NaN NaN 10.890 1.456 2008 4 NaN NaN NaN NaN NaN NaN 15.486 0.869 2008 5 NaN NaN NaN NaN NaN NaN 20.551 1.305 2008 6 NaN NaN NaN NaN NaN NaN 23.598 0.080 2008 7 NaN NaN NaN NaN NaN NaN 28.970 1.152 2008 8 NaN NaN NaN NaN NaN NaN 27.837 -0.013 2008 9 NaN NaN NaN NaN NaN NaN 25.385 1.145 2008 10 NaN NaN NaN NaN NaN NaN 20.369 1.623 2008 11 NaN NaN NaN NaN NaN NaN 13.879 0.262 2008 12 NaN NaN NaN NaN NaN NaN 7.917 0.090 2009 1 NaN NaN NaN NaN NaN NaN 4.684 -0.261 2009 2 NaN NaN NaN NaN NaN NaN 9.516 3.660 2009 3 NaN NaN NaN NaN NaN NaN 10.180 0.745 2009 4 NaN NaN NaN NaN NaN NaN 15.817 1.200 2009 5 NaN NaN NaN NaN NaN NaN 20.894 1.648 2009 6 NaN NaN NaN NaN NaN NaN 24.490 0.972 2009 7 NaN NaN NaN NaN NaN NaN 28.108 0.290 2009 8 28.750 0.614 1 0 NaN NaN 27.929 0.079 2009 9 25.339 0.813 0 0 25.397 0.871 25.263 1.023 2009 10 20.179 1.147 0 0 20.238 1.205 20.363 1.617 2009 11 11.589 -2.315 0 0 11.647 -2.256 12.665 -0.953 2009 12 6.726 -1.387 0 0 6.784 -1.329 6.996 -0.831 2010 1 6.271 1.040 0 0 6.329 1.098 6.232 1.287 2010 2 8.111 1.970 0 0 8.169 2.028 7.951 2.095 2010 3 10.161 0.441 0 0 10.220 0.499 9.460 0.025 2010 4 13.435 -1.468 0 0 13.494 -1.410 12.977 -1.641 2010 5 20.412 0.880 0 0 20.471 0.938 19.640 0.394 2010 6 23.500 -0.304 0 0 23.558 -0.245 22.402 -1.115 2010 7 28.263 0.160 0 0 28.322 0.218 27.872 0.054 2010 8 30.177 2.041 0 0 30.236 2.100 29.536 1.685 2010 9 25.543 1.017 0 0 25.601 1.075 25.555 1.315 2010 10 18.360 -0.672 0 0 18.419 -0.614 18.453 -0.293 2010 11 13.220 -0.683 0 0 13.279 -0.625 14.076 0.459 2010 12 7.801 -0.312 0 0 7.859 -0.254 8.058 0.231 2011 1 1.638 -3.593 0 0 1.696 -3.535 1.898 -3.047 2011 2 6.629 0.487 0 0 6.687 0.546 6.535 0.679 2011 3 9.109 -0.611 0 0 9.168 -0.553 8.625 -0.810 2011 4 16.187 1.284 0 0 16.245 1.342 15.295 0.678 2011 5 21.030 1.498 0 0 21.089 1.557 20.085 0.839 2011 6 24.780 0.976 0 0 24.838 1.034 23.593 0.076 2011 7 29.781 1.678 0 0 29.840 1.736 29.066 1.248 2011 8 28.448 0.312 0 0 28.506 0.370 27.991 0.140 2011 9 23.989 -0.537 0 0 24.047 -0.479 24.070 -0.170 2011 10 18.591 -0.441 0 0 18.650 -0.383 18.798 0.051 2011 11 16.019 2.115 0 0 16.077 2.173 16.829 3.211 2011 12 6.516 -1.597 0 0 6.574 -1.539 7.045 -0.782 2012 1 5.002 -0.229 0 0 5.060 -0.171 5.167 0.222 2012 2 4.948 -1.193 0 0 5.007 -1.135 5.143 -0.713 2012 3 10.256 0.536 0 0 10.315 0.594 9.518 0.083 2012 4 18.056 3.152 0 0 18.114 3.211 17.089 2.472 2012 5 21.016 1.484 0 0 21.074 1.542 20.368 1.122 2012 6 24.717 0.913 0 0 24.775 0.971 23.596 0.078 2012 7 29.839 1.735 0 0 29.897 1.793 29.153 1.335 2012 8 28.505 0.369 0 0 28.564 0.427 28.144 0.294 2012 9 23.046 -1.479 0 0 23.105 -1.421 23.285 -0.955 2012 10 19.070 0.037 0 0 19.128 0.096 19.199 0.452 2012 11 12.043 -1.861 0 0 12.101 -1.803 13.041 -0.577 2012 12 6.720 -1.393 0 0 6.779 -1.334 6.862 -0.965 2013 1 5.287 0.056 0 0 5.345 0.114 5.280 0.335 2013 2 7.728 1.587 0 0 7.786 1.645 7.521 1.665 2013 3 11.799 2.079 1 0 NaN NaN 10.829 1.395 2013 4 16.202 1.299 0 4 15.852 0.949 15.130 0.513 2013 5 22.265 2.733 0 0 21.915 2.383 20.851 1.605 2013 6 24.889 1.085 0 0 24.539 0.735 23.586 0.069 2013 7 31.414 3.310 0 0 31.064 2.960 29.873 2.055 2013 8 30.495 2.358 0 0 30.145 2.008 29.483 1.632 2013 9 25.135 0.609 0 0 24.785 0.260 24.918 0.678 2013 10 19.772 0.740 0 0 19.422 0.390 19.667 0.920 2013 11 17.715 3.811 1 0 NaN NaN NaN NaN