% This file contains a station count summary related to % temperature results produced by the Berkeley Earth averaging % method for the region: % % Nepal % % 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: Nepal %% Latitude Range: 26.34 to 30.42 %% Longitude Range: 80.03 to 88.17 %% Area: 147147.22 km^2 %% Percent of global land area: 0.100 % %% Approximate number of temperature stations: 17 %% Approximate number of monthly observations: 2936 % % % 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 1816 3 0 0 0 0 0 1 1 1816 4 0 0 0 0 0 1 1 1816 5 0 0 0 0 0 1 1 1816 6 0 0 0 0 0 1 1 1816 7 0 0 0 0 0 1 1 1816 8 0 0 0 0 0 1 1 1816 9 0 0 0 0 0 1 1 1816 10 0 0 0 0 0 1 1 1816 11 0 0 0 0 0 1 1 1816 12 0 0 0 0 0 1 1 1817 1 0 0 0 0 0 1 1 1817 2 0 0 0 0 0 1 1 1817 3 0 0 0 0 0 1 1 1817 4 0 0 0 0 0 1 1 1817 5 0 0 0 0 0 1 1 1817 6 0 0 0 0 0 1 1 1817 7 0 0 0 0 0 1 1 1817 8 0 0 0 0 0 1 1 1817 9 0 0 0 0 0 1 1 1817 10 0 0 0 0 0 1 1 1817 11 0 0 0 0 0 1 1 1817 12 0 0 0 0 0 1 1 1818 1 0 0 0 0 0 1 1 1818 2 0 0 0 0 0 1 1 1818 3 0 0 0 0 0 1 1 1818 4 0 0 0 0 0 1 1 1818 5 0 0 0 0 0 1 1 1818 6 0 0 0 0 0 1 1 1818 7 0 0 0 0 0 1 1 1818 8 0 0 0 0 0 1 1 1818 9 0 0 0 0 0 1 1 1818 10 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10 3 3 4 10 19 49 127 2008 11 2 2 2 8 17 43 126 2008 12 2 2 2 7 16 42 119 2009 1 3 3 3 9 20 50 134 2009 2 3 3 4 9 20 51 135 2009 3 3 3 3 9 21 55 139 2009 4 3 3 3 9 19 48 131 2009 5 3 3 3 8 20 52 134 2009 6 3 3 3 9 19 47 129 2009 7 2 2 2 7 19 53 133 2009 8 2 2 2 7 19 53 133 2009 9 3 3 4 10 20 49 129 2009 10 3 3 4 10 22 57 134 2009 11 3 3 4 10 22 56 140 2009 12 3 3 3 8 20 52 141 2010 1 3 3 3 8 20 53 137 2010 2 3 3 3 9 21 56 139 2010 3 3 3 4 10 22 57 140 2010 4 3 3 3 8 19 50 126 2010 5 3 3 3 9 21 53 135 2010 6 3 3 3 9 21 55 135 2010 7 3 3 3 8 20 53 134 2010 8 3 3 3 8 19 52 138 2010 9 3 3 3 9 21 55 143 2010 10 3 3 3 9 19 48 129 2010 11 3 3 3 9 19 48 133 2010 12 3 3 3 9 19 47 133 2011 1 3 3 3 9 19 48 140 2011 2 2 2 2 8 18 47 136 2011 3 3 3 3 9 19 49 138 2011 4 3 3 3 9 19 49 139 2011 5 3 3 3 9 20 50 135 2011 6 2 2 2 8 18 46 137 2011 7 3 3 3 9 19 48 134 2011 8 2 2 2 8 19 48 137 2011 9 3 3 3 8 19 48 138 2011 10 3 3 3 9 20 49 134 2011 11 2 2 2 8 19 48 141 2011 12 2 2 2 7 17 45 134 2012 1 2 2 2 8 20 55 147 2012 2 3 3 3 9 21 57 149 2012 3 2 2 2 8 18 48 137 2012 4 2 2 2 8 20 57 140 2012 5 3 3 3 9 23 59 148 2012 6 3 3 3 9 21 54 145 2012 7 2 2 2 7 21 55 139 2012 8 2 2 2 8 18 46 131 2012 9 2 2 2 8 20 54 146 2012 10 2 2 2 8 20 53 139 2012 11 2 2 2 8 19 52 142 2012 12 3 3 3 9 20 51 142 2013 1 2 2 2 8 19 49 132 2013 2 2 2 2 8 22 56 139 2013 3 2 2 2 8 20 55 139 2013 4 3 3 3 9 20 54 133 2013 5 3 3 3 9 20 54 138 2013 6 3 3 3 9 21 55 142 2013 7 2 2 2 8 20 54 140 2013 8 2 2 2 8 21 54 140 2013 9 2 2 2 8 20 52 133 2013 10 2 2 2 8 22 59 147 2013 11 3 3 3 9 23 61 150 2013 12 4 4 4 10 21 53 136 2014 1 15 15 15 21 33 66 145 2014 2 11 11 11 17 32 75 156 2014 3 3 3 3 9 22 68 155 2014 4 11 11 11 17 31 77 164 2014 5 13 13 13 19 33 79 169 2014 6 15 15 15 21 35 80 172 2014 7 14 14 14 19 32 77 165 2014 8 13 13 13 17 30 75 167 2014 9 16 16 16 22 35 80 172 2014 10 15 15 15 21 35 80 170 2014 11 3 3 3 9 22 66 157 2014 12 10 10 10 15 29 73 163 2015 1 16 16 16 22 36 82 170 2015 2 15 15 15 21 35 81 169 2015 3 14 14 14 20 31 64 144 2015 4 15 15 15 21 36 83 172 2015 5 15 15 15 21 36 82 171 2015 6 15 15 15 21 35 80 159 2015 7 15 15 15 21 35 80 158 2015 8 16 16 16 22 37 82 159 2015 9 16 16 16 22 36 79 156 2015 10 16 16 16 22 36 81 156 2015 11 9 9 9 15 29 74 149 2015 12 12 12 13 19 31 64 133 2016 1 15 15 16 23 41 99 198 2016 2 16 16 17 24 42 99 195 2016 3 15 15 16 23 40 100 195 2016 4 14 14 15 22 36 87 171 2016 5 16 16 17 24 41 100 198 2016 6 16 16 17 24 38 83 173 2016 7 15 15 16 23 42 100 198 2016 8 15 15 16 23 40 98 194 2016 9 16 16 17 24 43 102 201 2016 10 15 15 16 23 42 100 199 2016 11 13 13 14 21 39 97 197 2016 12 15 15 16 22 39 97 192 2017 1 15 15 16 22 40 98 206 2017 2 16 16 17 22 39 98 197 2017 3 16 16 17 23 41 99 208 2017 4 15 15 16 22 39 97 202 2017 5 16 16 17 23 42 100 212 2017 6 13 13 14 20 39 97 204 2017 7 16 16 17 23 42 101 207 2017 8 11 11 12 18 37 96 204 2017 9 16 16 17 23 42 100 211 2017 10 14 14 15 21 40 98 207 2017 11 13 13 14 20 39 96 210 2017 12 15 15 16 21 39 95 212 2018 1 14 14 14 18 30 73 182 2018 2 16 16 17 23 41 98 216 2018 3 16 16 17 23 42 100 217 2018 4 14 14 15 21 38 92 195 2018 5 15 15 16 22 41 99 212 2018 6 16 16 17 23 42 99 214 2018 7 2 2 3 9 28 85 195 2018 8 2 2 3 9 28 85 199 2018 9 2 2 2 8 26 79 184 2018 10 2 2 3 9 24 69 176 2018 11 1 1 3 8 23 59 148 2018 12 11 11 12 18 33 74 181 2019 1 14 14 15 21 36 80 186 2019 2 15 15 16 22 37 82 188 2019 3 16 16 18 24 39 84 183 2019 4 16 16 18 25 39 82 171 2019 5 16 16 19 26 41 89 186 2019 6 16 16 19 26 45 92 194 2019 7 16 16 19 25 42 91 193 2019 8 14 14 17 23 41 99 208 2019 9 16 16 19 27 46 104 214 2019 10 16 16 19 27 48 105 213 2019 11 3 3 5 13 34 87 196 2019 12 2 2 4 11 32 87 197 2020 1 15 15 17 24 40 83 186 2020 2 12 12 14 22 38 82 186 2020 3 11 11 13 21 42 99 209 2020 4 16 16 18 26 47 103 204 2020 5 2 2 4 12 32 88 195 2020 6 2 2 4 12 33 89 193 2020 7 2 2 4 11 32 88 192 2020 8 2 2 5 12 32 90 195 2020 9 2 2 5 12 31 87 192 2020 10 2 2 4 12 31 88 197 2020 11 1 1 1 4 12 35 78 2020 12 1 1 1 3 11 34 75