% This file contains a station count summary related to % temperature results produced by the Berkeley Earth averaging % method for the region: % % Beijing % % Counts indicate the number of stations contributing to each % monthly average temperature estimate. A station is counted % provided it reported a monthly average during the associated % month; however, such monthly averages may include several % missing days. As the Berkeley temperature estimate interpolates % from both inside and outside of the target region, the table % indicate both the number of active stations within the region % as well as the number of stations near the boundary of the region. % % The current dataset presented here is described as: % % Berkeley Earth analysis for mean temperature on complete dataset % % % This analysis was run on 06-Jan-2021 15:35:34 % % Global results are based on 50564 time series % with 20694236 monthly data points % % The current region is characterized by: %% Name: Beijing %% Latitude Range: 39.44 to 41.06 %% Longitude Range: 115.41 to 117.50 %% Area: 16506.80 km^2 %% Percent of global land area: 0.011 % %% Approximate number of temperature stations: 3 %% Approximate number of monthly observations: 3238 % % % For each month, we report the number of active stations in the region % as well as the number of active stations in an extended region formed % by including sites within a specified distance of the regions boundary. % Note that due to occasional geolocation errors, some stations that are % expected to be within the region but very close to its boundary may be % mislocated as appearing outside that boundary. In addition, though efforts % are made to eliminate duplicate data, occasionally a station may be double % counted if different data providers included conflicting versions of the % station's data. % % Year, Month, Stations in Region, Region + 10 km, Region + 50 km, Region + 100 km, Region + 250 km, Region + 500 km, Region + 1000 km 1841 1 1 1 1 1 1 1 1 1841 2 1 1 1 1 1 1 1 1841 3 1 1 1 1 1 1 1 1841 4 1 1 1 1 1 1 1 1841 5 1 1 1 1 1 1 1 1841 6 1 1 1 1 1 1 1 1841 7 1 1 1 1 1 1 1 1841 8 1 1 1 1 1 1 1 1841 9 1 1 1 1 1 1 1 1841 10 1 1 1 1 1 1 1 1841 11 1 1 1 1 1 1 1 1841 12 1 1 1 1 1 1 1 1842 1 1 1 1 1 1 1 1 1842 2 1 1 1 1 1 1 1 1842 3 1 1 1 1 1 1 1 1842 4 1 1 1 1 1 1 1 1842 5 1 1 1 1 1 1 1 1842 6 1 1 1 1 1 1 1 1842 7 1 1 1 1 1 1 1 1842 8 1 1 1 1 1 1 1 1842 9 1 1 1 1 1 1 1 1842 10 1 1 1 1 1 1 1 1842 11 1 1 1 1 1 1 1 1842 12 1 1 1 1 1 1 1 1843 1 1 1 1 1 1 1 1 1843 2 1 1 1 1 1 1 1 1843 3 1 1 1 1 1 1 1 1843 4 1 1 1 1 1 1 1 1843 5 1 1 1 1 1 1 1 1843 6 1 1 1 1 1 1 1 1843 7 1 1 1 1 1 1 1 1843 8 1 1 1 1 1 1 1 1843 9 1 1 1 1 1 1 1 1843 10 1 1 1 1 1 1 1 1843 11 1 1 1 1 1 1 1 1843 12 1 1 1 1 1 1 1 1844 1 1 1 1 1 1 1 1 1844 2 1 1 1 1 1 1 1 1844 3 1 1 1 1 1 1 1 1844 4 1 1 1 1 1 1 1 1844 5 1 1 1 1 1 1 1 1844 6 1 1 1 1 1 1 1 1844 7 1 1 1 1 1 1 1 1844 8 1 1 1 1 1 1 1 1844 9 1 1 1 1 1 1 1 1844 10 1 1 1 1 1 1 1 1844 11 1 1 1 1 1 1 1 1844 12 1 1 1 1 1 1 1 1845 1 1 1 1 1 1 1 1 1845 2 1 1 1 1 1 1 1 1845 3 1 1 1 1 1 1 1 1845 4 1 1 1 1 1 1 1 1845 5 1 1 1 1 1 1 1 1845 6 1 1 1 1 1 1 1 1845 7 1 1 1 1 1 1 1 1845 8 1 1 1 1 1 1 1 1845 9 1 1 1 1 1 1 1 1845 10 1 1 1 1 1 1 1 1845 11 1 1 1 1 1 1 1 1845 12 1 1 1 1 1 1 1 1846 1 1 1 1 1 1 1 1 1846 2 1 1 1 1 1 1 1 1846 3 1 1 1 1 1 1 1 1846 4 1 1 1 1 1 1 1 1846 5 1 1 1 1 1 1 1 1846 6 1 1 1 1 1 1 1 1846 7 1 1 1 1 1 1 1 1846 8 1 1 1 1 1 1 1 1846 9 1 1 1 1 1 1 1 1846 10 1 1 1 1 1 1 1 1846 11 1 1 1 1 1 1 1 1846 12 1 1 1 1 1 1 1 1847 1 1 1 1 1 1 1 1 1847 2 1 1 1 1 1 1 1 1847 3 1 1 1 1 1 1 1 1847 4 1 1 1 1 1 1 1 1847 5 1 1 1 1 1 1 1 1847 6 1 1 1 1 1 1 1 1847 7 1 1 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