% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 167099 % Primary Name: KANGNUNG ROK K 18 % Record Type: TAVG % Country: Korea, South % State: ZZ % Latitude: 37.75000 +/- 0.00005 % Longitude: 128.93330 +/- 0.00005 % Elevation (m): 27.10 +/- 0.05 % # of Months: 70 % % IDs: faa - RKSN % ghcnd - KSW00043223 % ncdc - 20029693 % wban - 43223 % % Sources: US First Order Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 7491e91750fdfbe8a0d8919eb8b2fc56 % Raw Data Hash: 460e27ee6a7d90eeebf176933c9087ca % Adj Data Hash: 2d2f8ea76e31652e970ad5e61e2ad0b6 % % 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 1950 3 NaN NaN NaN NaN NaN NaN 3.167 -0.129 1950 4 NaN NaN NaN NaN NaN NaN 11.220 1.001 1950 5 NaN NaN NaN NaN NaN NaN 17.337 1.024 1950 6 NaN NaN NaN NaN NaN NaN 19.316 -0.795 1950 7 NaN NaN NaN NaN NaN NaN 24.674 0.920 1950 8 NaN NaN NaN NaN NaN NaN 25.142 1.111 1950 9 NaN NaN NaN NaN NaN NaN 17.794 -0.734 1950 10 NaN NaN NaN NaN NaN NaN 11.996 0.052 1950 11 NaN NaN NaN NaN NaN NaN 4.931 -0.277 1950 12 NaN NaN NaN NaN NaN NaN -2.842 -1.190 1951 1 NaN NaN NaN NaN NaN NaN -4.924 -0.172 1951 2 NaN NaN NaN NaN NaN NaN -0.906 1.353 1951 3 7.931 2.790 1 0 NaN NaN 2.006 -1.290 1951 4 11.287 -0.777 1 0 NaN NaN 9.293 -0.925 1951 5 18.108 -0.052 1 0 NaN NaN 16.678 0.364 1951 6 21.587 -0.370 0 0 21.587 -0.370 19.890 -0.221 1951 7 25.173 -0.428 0 0 25.173 -0.428 23.909 0.155 1951 8 28.196 2.319 1 0 NaN NaN 25.709 1.678 1951 9 18.640 -1.735 0 0 18.640 -1.735 17.058 -1.470 1951 10 13.845 0.055 0 0 13.845 0.055 12.863 0.919 1951 11 7.983 0.930 0 0 7.983 0.930 5.243 0.035 1951 12 4.955 4.761 0 0 4.955 4.761 0.001 1.654 1952 1 0.387 3.293 0 0 0.387 3.293 -4.329 0.423 1952 2 -1.447 -1.034 0 0 -1.447 -1.034 -4.028 -1.770 1952 3 4.781 -0.361 0 0 4.781 -0.361 2.530 -0.765 1952 4 11.935 -0.129 0 0 11.935 -0.129 10.562 0.344 1952 5 17.006 -1.153 0 0 17.006 -1.153 18.343 2.030 1952 6 21.272 -0.685 0 0 21.272 -0.685 20.583 0.472 1952 7 22.900 -2.701 0 0 22.900 -2.701 24.022 0.268 1952 8 23.704 -2.173 1 0 NaN NaN 24.014 -0.017 1952 9 18.922 -1.453 0 0 18.922 -1.453 17.993 -0.535 1952 10 12.895 -0.895 0 0 12.895 -0.895 10.925 -1.019 1952 11 8.812 1.758 0 0 8.812 1.758 6.378 1.171 1952 12 1.342 1.148 0 0 1.342 1.148 -3.428 -1.776 1953 1 -1.331 1.575 0 0 -1.331 1.575 -6.157 -1.405 1953 2 0.927 1.339 0 0 0.927 1.339 -2.602 -0.344 1953 3 6.298 1.157 0 0 6.298 1.157 3.944 0.648 1953 4 11.487 -0.578 0 0 11.487 -0.578 9.949 -0.269 1953 5 16.082 -2.077 0 0 16.082 -2.077 16.665 0.351 1953 6 18.970 -2.987 0 0 18.970 -2.987 19.124 -0.987 1953 7 23.706 -1.894 0 0 23.706 -1.894 23.960 0.205 1953 8 24.515 -1.362 1 0 NaN NaN 24.497 0.466 1953 9 19.147 -1.228 1 0 NaN NaN 18.381 -0.148 1953 10 15.255 1.464 0 0 15.255 1.464 13.740 1.795 1953 11 7.795 0.741 0 0 7.795 0.741 4.298 -0.909 1953 12 4.508 4.314 0 0 4.508 4.314 -0.239 1.413 1954 1 1.732 4.638 0 0 1.732 4.638 -2.574 2.178 1954 2 2.545 2.957 0 0 2.545 2.957 -0.410 1.848 1954 3 5.331 0.189 0 0 5.331 0.189 3.142 -0.153 1954 4 11.278 -0.786 0 0 11.278 -0.786 11.160 0.942 1954 5 16.695 -1.465 0 0 16.695 -1.465 16.875 0.561 1954 6 17.282 -4.675 0 0 17.282 -4.675 17.752 -2.359 1954 7 19.700 -5.901 0 0 19.700 -5.901 20.407 -3.347 1954 8 24.442 -1.435 0 0 24.442 -1.435 25.139 1.108 1954 9 NaN NaN NaN NaN NaN NaN 18.837 0.309 1954 10 12.977 -0.813 0 0 12.977 -0.813 11.092 -0.852 1954 11 11.255 4.201 0 0 11.255 4.201 8.581 3.373 1954 12 2.510 2.316 0 0 2.510 2.316 -3.068 -1.416 1955 1 -0.768 2.138 0 0 -0.768 2.138 -6.294 -1.542 1955 2 2.871 3.284 0 0 2.871 3.284 -0.596 1.662 1955 3 5.374 0.233 0 0 5.374 0.233 3.557 0.262 1955 4 11.757 -0.308 0 0 11.757 -0.308 10.555 0.336 1955 5 15.592 -2.568 0 0 15.592 -2.568 16.235 -0.079 1955 6 21.367 -0.590 0 0 21.367 -0.590 20.855 0.744 1955 7 25.326 -0.275 0 0 25.326 -0.275 24.365 0.610 1955 8 24.058 -1.819 0 0 24.058 -1.819 25.191 1.160 1955 9 19.355 -1.019 0 0 19.355 -1.019 18.536 0.007 1955 10 12.979 -0.811 0 0 12.979 -0.811 11.161 -0.784 1955 11 8.010 0.956 0 0 8.010 0.956 5.386 0.179 1955 12 4.710 4.516 0 0 4.710 4.516 0.249 1.902 1956 1 -0.653 2.252 0 0 -0.653 2.252 -4.843 -0.091 1956 2 -0.484 -0.072 0 0 -0.484 -0.072 -3.583 -1.325 1956 3 2.532 -2.609 0 0 2.532 -2.609 2.275 -1.020 1956 4 11.020 -1.044 0 0 11.020 -1.044 9.497 -0.721 1956 5 17.292 -0.868 0 0 17.292 -0.868 16.394 0.080 1956 6 18.808 -3.149 0 0 18.808 -3.149 18.878 -1.233 1956 7 21.902 -3.699 0 0 21.902 -3.699 23.084 -0.670 1956 8 22.966 -2.911 0 0 22.966 -2.911 23.804 -0.227 1956 9 19.452 -0.923 0 0 19.452 -0.923 18.345 -0.183 1956 10 13.426 -0.365 0 0 13.426 -0.365 11.517 -0.427 1956 11 6.170 -0.884 0 0 6.170 -0.884 2.934 -2.274 1956 12 -0.816 -1.010 0 0 -0.816 -1.010 -6.428 -4.776 1957 1 -0.998 1.907 0 0 -0.998 1.907 -4.992 -0.240 1957 2 NaN NaN NaN NaN NaN NaN -4.906 -2.648 1957 3 NaN NaN NaN NaN NaN NaN -0.270 -3.565 1957 4 NaN NaN NaN NaN NaN NaN 10.098 -0.120 1957 5 NaN NaN NaN NaN NaN NaN 17.144 0.831 1957 6 NaN NaN NaN NaN NaN NaN 19.030 -1.081 1957 7 NaN NaN NaN NaN NaN NaN 21.735 -2.020 1957 8 NaN NaN NaN NaN NaN NaN 23.234 -0.797 1957 9 NaN NaN NaN NaN NaN NaN 16.663 -1.865 1957 10 NaN NaN NaN NaN NaN NaN 11.053 -0.891 1957 11 NaN NaN NaN NaN NaN NaN 7.151 1.943 1957 12 NaN NaN NaN NaN NaN NaN -1.347 0.305 1958 1 NaN NaN NaN NaN NaN NaN -6.951 -2.200