% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 11559 % Primary Name: YANGKAI CHINA AAB % Record Type: TAVG % Country: China % Latitude: 25.50000 +/- 0.00050 % Longitude: 103.08300 +/- 0.00050 % Elevation (m): 1955.00 +/- 0.05 % # of Months: 33 % % IDs: gsod - 749321-99999 % usaf - 749321 % % Sources: Global Summary of the Day % % Site Hash: 4956c2aced3d7742186ecf07ad3b3ebb % Raw Data Hash: bb24c8a70c2238bc8e18c9b7cc3126f1 % Adj Data Hash: afe212af40da6febed9517859c2b9c2c % % 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 1942 2 NaN NaN NaN NaN NaN NaN 11.126 1.327 1942 3 NaN NaN NaN NaN NaN NaN 14.111 0.594 1942 4 NaN NaN NaN NaN NaN NaN 16.327 -0.274 1942 5 NaN NaN NaN NaN NaN NaN 18.989 0.007 1942 6 NaN NaN NaN NaN NaN NaN 18.580 -0.778 1942 7 NaN NaN NaN NaN NaN NaN 19.674 -0.108 1942 8 NaN NaN NaN NaN NaN NaN 18.961 -0.243 1942 9 NaN NaN NaN NaN NaN NaN 17.659 -0.069 1942 10 NaN NaN NaN NaN NaN NaN 15.761 1.003 1942 11 NaN NaN NaN NaN NaN NaN 12.353 1.115 1942 12 NaN NaN NaN NaN NaN NaN 8.236 -0.026 1943 1 NaN NaN NaN NaN NaN NaN 7.514 -0.254 1943 2 8.989 -1.108 1 0 NaN NaN 8.247 -1.552 1943 3 14.563 0.749 0 0 14.563 0.749 13.981 0.465 1943 4 18.433 1.535 0 0 18.433 1.535 16.997 0.396 1943 5 21.297 2.018 0 0 21.297 2.018 20.214 1.232 1943 6 20.259 0.605 0 0 20.259 0.605 19.493 0.136 1943 7 20.738 0.658 0 0 20.738 0.658 19.747 -0.036 1943 8 19.007 -0.495 0 0 19.007 -0.495 18.625 -0.579 1943 9 17.587 -0.438 0 0 17.587 -0.438 17.246 -0.481 1943 10 15.894 0.838 0 0 15.894 0.838 15.338 0.579 1943 11 11.606 0.069 0 0 11.606 0.069 11.558 0.319 1943 12 8.027 -0.532 0 0 8.027 -0.532 8.471 0.210 1944 1 8.984 0.919 0 0 8.984 0.919 8.849 1.081 1944 2 10.465 0.368 1 0 NaN NaN 10.127 0.328 1944 3 14.215 0.401 0 0 14.215 0.401 14.103 0.587 1944 4 16.954 0.055 0 0 16.954 0.055 16.588 -0.013 1944 5 16.891 -2.389 0 0 16.891 -2.389 17.224 -1.758 1944 6 19.196 -0.458 0 0 19.196 -0.458 18.532 -0.826 1944 7 19.473 -0.607 0 0 19.473 -0.607 19.375 -0.407 1944 8 19.005 -0.496 0 0 19.005 -0.496 18.778 -0.426 1944 9 17.559 -0.466 0 0 17.559 -0.466 17.648 -0.080 1944 10 16.600 1.544 0 0 16.600 1.544 16.286 1.528 1944 11 11.944 0.408 0 0 11.944 0.408 12.549 1.311 1944 12 7.527 -1.032 0 0 7.527 -1.032 7.246 -1.015 1945 1 9.708 1.643 0 0 9.708 1.643 9.301 1.533 1945 2 7.604 -2.493 1 0 NaN NaN 7.334 -2.465 1945 3 13.297 -0.516 0 0 13.297 -0.516 13.615 0.098 1945 4 18.037 1.138 0 0 18.037 1.138 17.399 0.798 1945 5 16.208 -3.071 0 0 16.208 -3.071 16.566 -2.416 1945 6 19.880 0.225 0 0 19.880 0.225 19.033 -0.324 1945 7 19.633 -0.447 0 0 19.633 -0.447 19.478 -0.304 1945 8 19.190 -0.312 0 0 19.190 -0.312 18.661 -0.543 1945 9 18.680 0.654 0 0 18.680 0.654 18.396 0.668 1945 10 12.975 -2.081 0 0 12.975 -2.081 13.144 -1.615 1945 11 NaN NaN NaN NaN NaN NaN 12.730 1.492 1945 12 NaN NaN NaN NaN NaN NaN 8.423 0.162 1946 1 NaN NaN NaN NaN NaN NaN 10.068 2.301 1946 2 NaN NaN NaN NaN NaN NaN 11.806 2.007 1946 3 NaN NaN NaN NaN NaN NaN 15.013 1.496 1946 4 NaN NaN NaN NaN NaN NaN 17.857 1.256 1946 5 NaN NaN NaN NaN NaN NaN 19.932 0.950 1946 6 NaN NaN NaN NaN NaN NaN 20.753 1.396 1946 7 NaN NaN NaN NaN NaN NaN 20.604 0.821 1946 8 NaN NaN NaN NaN NaN NaN 20.684 1.479 1946 9 NaN NaN NaN NaN NaN NaN 19.496 1.768 1946 10 NaN NaN NaN NaN NaN NaN 14.892 0.133