Results 11 to 20 of about 322,369 (303)
, 2020 Greco-Roman meteorology will be described in four overlapping developments. In the archaic period, astro-meteorological calendars were written down, and one appears in Hesiod’s Works and Days; such calendars or almanacs originated thousands of years ...
Johnson, Monte
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Editorial for the Special Issue “Remote Sensing of Clouds”
Remote Sensing, 2020 Remote sensing of clouds is a subject of intensive study in modern atmospheric remote sensing [...]
Filomena Romano
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Using a Gridded Global Dataset to Characterize Regional Hydroclimate in Central Chile [PDF]
, 2013 Central Chile is facing dramatic projections of climate change, with a consensus for declining precipitation, negatively affecting hydropower generation and irrigated agriculture. Rising from sea level to 6000 m within a distance of 200 km, precipitation
Bustos, E. +6 more
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Osmanlıca Basında Sunulan Hava Durumu
Vakanüvis Uluslararası Tarih Araştırmaları Dergisi, 2019 1868 yılında Aristide Coumbary tarafından İstanbul’da kurulan rasathane, Birinci Dünya Savaşı’nın sonlarına kadar çalışmıştır. Avrupa’dan ithal edilen araç gereçlerle donatılan rasathane, telgraf hatları vasıtasıyla Osmanlı İmparatorluğundaki ...
Remzi ÇAVUŞ
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Lexicon Philosophicum, 2021 This is the first of a series of notes on the technical lexicon of Greek astronomy. Between the 5th and 4th centuries BC, in Greece, the study of the sky becomes an autonomous discipline, whose concepts and practices favour the formation of a specific ...
Luca Simeoni
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Association between Prevailing Circulation Patterns and Coarse Particles in Portugal
Atmosphere, 2021 Air pollution is one of the major environmental concerns today, with high socio-economic and public health impacts, which are expected to worsen in the future due to anthropogenic warming.
Rui Cavaleiro +3 more
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Generalised block bootstrap and its use in meteorology [PDF]
, 2016 In an earlier paper Rakonczai et al. (2014), we have emphasized the effective sample size for autocorrelated data. The simulations were based on the block bootstrap methodology.
Varga, László, Zempléni, András
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Espresso: A Global Deep Learning Model to Estimate Precipitation from Satellite Observations
Meteorology, 2023 Estimating precipitation is of critical importance to climate systems and decision-making processes. This paper presents Espresso, a deep learning model designed for estimating precipitation from satellite observations on a global scale.
Léa Berthomier, Laurent Perier
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