% This file contains a station count summary related to % temperature results produced by the Berkeley Earth averaging % method for the location: % % 42.59 N, 10.91 E % % 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 can interpolate % over great distances, the table below indicates the number % of active stations within a specified distance of the reference % point. Closer stations recieve greater weight and lead to % lower uncertainty estimates. % % 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 location is characterized by: %% Location: 42.59 N, 10.91 E %% Country: Italy %% Nearby Cities: Grosseto, Viterbo, Civitavecchia, Siena, Piombino %% Percent water in local neighborhood: 65.1 % %% Total temperature stations within 200 km: 84 %% Total temperature obeservations within 200 km: 47686 % % % Note that due to occasional geolocation errors, some stations that are % expected to be near the reference location may not appear to be so. % 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, , Within 10 km, Within 50 km, Within 100 km, Within 250 km, Within 500 km, Within 1000 km 1750 1 0 0 0 0 1 1 0 1750 2 0 0 0 0 1 1 0 1750 3 0 0 0 0 0 0 0 1750 4 0 0 0 0 1 1 0 1750 5 0 0 0 0 1 1 0 1750 6 0 0 0 0 1 1 0 1750 7 0 0 0 0 1 1 0 1750 8 0 0 0 0 1 1 0 1750 9 0 0 0 0 0 0 0 1750 10 0 0 0 0 1 1 0 1750 11 0 0 0 0 1 1 0 1750 12 0 0 0 0 1 1 0 1751 1 0 0 0 0 1 1 0 1751 2 0 0 0 0 1 1 0 1751 3 0 0 0 0 1 1 0 1751 4 0 0 0 0 1 1 0 1751 5 0 0 0 0 1 1 0 1751 6 0 0 0 0 1 1 0 1751 7 0 0 0 0 1 1 0 1751 8 0 0 0 0 1 1 0 1751 9 0 0 0 0 1 1 0 1751 10 0 0 0 0 1 1 0 1751 11 0 0 0 0 1 1 0 1751 12 0 0 0 0 1 1 0 1752 1 0 0 0 0 1 1 0 1752 2 0 0 0 0 1 1 0 1752 3 0 0 0 0 1 1 0 1752 4 0 0 0 0 1 1 0 1752 5 0 0 0 0 1 1 0 1752 6 0 0 0 0 1 1 0 1752 7 0 0 0 0 1 1 0 1752 8 0 0 0 0 1 1 0 1752 9 0 0 0 0 0 0 0 1752 10 0 0 0 0 1 1 0 1752 11 0 0 0 0 1 1 0 1752 12 0 0 0 0 1 1 0 1753 1 0 0 0 0 3 4 0 1753 2 0 0 0 0 3 4 0 1753 3 0 0 0 0 3 4 0 1753 4 0 0 0 0 3 4 0 1753 5 0 0 0 0 3 4 0 1753 6 0 0 0 0 3 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2017 2 0 3 8 44 231 1375 0 2017 3 0 3 8 43 225 1292 0 2017 4 0 3 7 37 214 1268 0 2017 5 0 3 8 44 225 1277 0 2017 6 0 3 7 41 221 1273 0 2017 7 0 3 7 37 218 1270 0 2017 8 0 3 8 40 220 1282 0 2017 9 0 3 8 43 226 1280 0 2017 10 0 3 8 42 228 1290 0 2017 11 0 3 8 42 229 1277 0 2017 12 0 3 7 38 214 1214 0 2018 1 0 3 8 40 213 1209 0 2018 2 0 3 8 43 220 1225 0 2018 3 0 3 7 41 219 1225 0 2018 4 0 3 6 34 203 1194 0 2018 5 0 3 7 40 215 1203 0 2018 6 0 3 7 41 217 1200 0 2018 7 0 3 7 42 217 1201 0 2018 8 0 3 7 40 211 1196 0 2018 9 0 3 5 34 206 1156 0 2018 10 0 3 7 42 231 1256 0 2018 11 0 2 5 34 164 1036 0 2018 12 0 3 6 36 216 1238 0 2019 1 0 3 7 41 224 1166 0 2019 2 0 3 7 44 226 1162 0 2019 3 0 3 6 37 214 1148 0 2019 4 0 3 6 36 217 1152 0 2019 5 0 3 7 43 223 1154 0 2019 6 0 3 6 39 213 1127 0 2019 7 0 3 7 45 226 1241 0 2019 8 0 3 6 39 215 1230 0 2019 9 0 3 7 45 226 1240 0 2019 10 0 3 7 44 224 1238 0 2019 11 0 3 6 38 214 1234 0 2019 12 0 3 6 39 216 1233 0 2020 1 0 3 6 37 213 1231 0 2020 2 0 3 6 41 219 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