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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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The CAMELS data set: catchment attributes and meteorology for large-sample studies
, 2017 . We present a new data set of attributes for 671 catchments in the contiguous United States (CONUS) minimally impacted by human activities. This complements the daily time series of meteorological forcing and streamflow provided by Newman et al. (2015b).
N. Addor +3 more
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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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Current Pollution Reports, 2019 Tropospheric ozone is a key air pollutant and greenhouse gas. Its fate strongly depends on meteorological conditions and therefore subject to climate change influences.
Xiao Lu, Lin Zhang, Lu Shen
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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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nasapower: A NASA POWER Global Meteorology, Surface Solar Energy and Climatology Data Client for R
Journal of Open Source Software, 2018 nasapower is an R (R Core Team, 2018) package providing functionality to interface with the NASA POWER API (Stackhouse et al., 2018) for reproducible data retrieval using R. Three functions, get_power(), create_met() and create_icasa() are provided.
A. Sparks
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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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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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Quarterly Journal of the Royal Meteorological Society, 2020 The Iceland and Greenland Seas are a crucial region for the climate system, being the headwaters of the lower limb of the Atlantic Meridional Overturning Circulation.
I. Renfrew +15 more
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