% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 166947 % Primary Name: HUNG CHIA % Record Type: TAVG % Country: China % State: ZZ % Latitude: 31.23330 +/- 0.00005 % Longitude: 121.45000 +/- 0.00005 % Elevation (m): 27.10 +/- 0.05 % # of Months: 41 % % IDs: ghcnd - CHW00043204 % gsod - 999999-43204 % ncdc - 20029180 % wban - 43204 % % Sources: US First Order Summary of the Day % Global Historical Climatology Network - Daily % Global Summary of the Day % Multi-network Metadata System % % Site Hash: 4afedb139c887e27078d73fa6849e946 % Raw Data Hash: 7d23fadcf913ea8c8886b7bca3541fdf % Adj Data Hash: 522d877bebedb7168e55305300b28963 % % 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 1944 12 NaN NaN NaN NaN NaN NaN 2.201 -4.016 1945 1 NaN NaN NaN NaN NaN NaN 1.573 -1.819 1945 2 NaN NaN NaN NaN NaN NaN 2.434 -2.386 1945 3 NaN NaN NaN NaN NaN NaN 8.149 -0.929 1945 4 NaN NaN NaN NaN NaN NaN 15.215 0.307 1945 5 NaN NaN NaN NaN NaN NaN 19.253 -0.679 1945 6 NaN NaN NaN NaN NaN NaN 24.174 -0.235 1945 7 NaN NaN NaN NaN NaN NaN 28.374 -0.218 1945 8 NaN NaN NaN NaN NaN NaN 28.578 0.271 1945 9 NaN NaN NaN NaN NaN NaN 24.276 0.486 1945 10 NaN NaN NaN NaN NaN NaN 17.622 -0.420 1945 11 NaN NaN NaN NaN NaN NaN 15.259 2.796 1945 12 6.620 0.225 1 0 NaN NaN 6.085 -0.132 1946 1 6.071 2.502 0 0 6.071 2.502 5.423 2.032 1946 2 7.034 2.036 0 0 7.034 2.036 7.252 2.433 1946 3 9.056 -0.199 0 0 9.056 -0.199 8.356 -0.722 1946 4 16.687 1.601 0 0 16.687 1.601 16.765 1.857 1946 5 19.149 -0.961 0 0 19.149 -0.961 19.539 -0.393 1946 6 25.209 0.623 0 0 25.209 0.623 25.207 0.799 1946 7 27.434 -1.336 0 0 27.434 -1.336 27.906 -0.687 1946 8 29.222 0.738 0 0 29.222 0.738 29.236 0.930 1946 9 25.575 1.608 0 0 25.575 1.608 24.982 1.193 1946 10 18.218 -0.002 0 0 18.218 -0.002 18.166 0.125 1946 11 13.955 1.315 0 0 13.955 1.315 14.251 1.789 1946 12 5.018 -1.377 0 0 5.018 -1.377 4.557 -1.660 1947 1 5.006 1.437 0 0 5.006 1.437 4.450 1.058 1947 2 3.034 -1.964 0 0 3.034 -1.964 3.036 -1.784 1947 3 9.606 0.351 0 0 9.606 0.351 9.142 0.064 1947 4 15.048 -0.038 0 0 15.048 -0.038 15.447 0.539 1947 5 18.539 -1.571 0 0 18.539 -1.571 19.030 -0.902 1947 6 22.865 -1.721 0 0 22.865 -1.721 22.712 -1.697 1947 7 29.244 0.474 0 0 29.244 0.474 29.036 0.444 1947 8 29.953 1.469 0 0 29.953 1.469 29.244 0.937 1947 9 25.585 1.618 0 0 25.585 1.618 24.657 0.867 1947 10 16.992 -1.227 0 0 16.992 -1.227 16.563 -1.478 1947 11 13.518 0.878 0 0 13.518 0.878 13.185 0.722 1947 12 6.190 -0.204 0 0 6.190 -0.204 5.072 -1.145 1948 1 3.434 -0.136 0 0 3.434 -0.136 3.251 -0.140 1948 2 5.572 0.574 1 0 NaN NaN 5.937 1.117 1948 3 9.271 0.015 0 0 9.271 0.015 8.874 -0.204 1948 4 15.862 0.776 0 0 15.862 0.776 16.239 1.331 1948 5 19.247 -0.863 0 0 19.247 -0.863 19.498 -0.434 1948 6 25.215 0.629 0 0 25.215 0.629 24.584 0.176 1948 7 28.221 -0.549 0 0 28.221 -0.549 28.323 -0.270 1948 8 28.715 0.230 0 0 28.715 0.230 29.028 0.721 1948 9 25.022 1.055 0 0 25.022 1.055 24.417 0.627 1948 10 19.174 0.955 0 0 19.174 0.955 18.463 0.422 1948 11 11.718 -0.922 0 0 11.718 -0.922 11.715 -0.747 1948 12 9.529 3.134 0 0 9.529 3.134 8.856 2.639 1949 1 3.834 0.265 0 0 3.834 0.265 3.709 0.317 1949 2 6.925 1.927 0 0 6.925 1.927 7.132 2.312 1949 3 8.869 -0.386 0 0 8.869 -0.386 9.186 0.109 1949 4 14.033 -1.053 1 0 NaN NaN 15.302 0.394 1949 5 NaN NaN NaN NaN NaN NaN 21.149 1.217 1949 6 NaN NaN NaN NaN NaN NaN 22.951 -1.457 1949 7 NaN NaN NaN NaN NaN NaN 27.935 -0.657 1949 8 NaN NaN NaN NaN NaN NaN 28.288 -0.019 1949 9 NaN NaN NaN NaN NaN NaN 25.338 1.548 1949 10 NaN NaN NaN NaN NaN NaN 18.673 0.632 1949 11 NaN NaN NaN NaN NaN NaN 13.173 0.711 1949 12 NaN NaN NaN NaN NaN NaN 7.402 1.185 1950 1 NaN NaN NaN NaN NaN NaN 6.435 3.043 1950 2 NaN NaN NaN NaN NaN NaN 4.953 0.133 1950 3 NaN NaN NaN NaN NaN NaN 9.839 0.762 1950 4 NaN NaN NaN NaN NaN NaN 15.255 0.347