Around 5 % of anthropogenic radiative forcing (RF) is attributed to aviation CO2 and non-CO2 impacts. This paper quantifies aviation emissions and contrail climate forcing in the North Atlantic, one of the world's busiest air traffic corridors, over 5 years. Between 2016 and 2019, growth in CO2 (+3.13 % yr−1) and nitrogen oxide emissions (+4.5 % yr...
L’essor de la télédétection optique a permis des avancées majeures dans notre compréhension du fonctionnement de notre Terre, avec des applications terrestres, maritimes et météorologiques. Reposant sur l’exploitation d’un rayonnement électromagnétique, les capteurs enregistrent le signal de la scène en trois dimensions : deux dimensions spatiales ...
The strong reduction of air traffic during the COVID-19 pandemic provides a unique test case for the relationship between air traffic density, contrails, and their radiative forcing of climate change. Here, air traffic and contrail cirrus changes are quantified for a European domain for March to August 2020 and compared to the same period in 2019. ...
The climate forcing of contrails and induced-cirrus cloudiness is thought to be comparable to the cumulative impacts of aviation CO2 emissions. This paper estimates the impact of aviation contrails on climate forcing for flight track data in Japanese airspace and propagates uncertainties arising from meteorology and aircraft black carbon (BC) parti...
The radiative forcing from aerosols (particularly through their interaction with clouds) remains one of the most uncertain components of the human forcing of the climate. Observation-based studies have typically found a smaller aerosol effective radiative forcing than in model simulations and were given preferential weighting in the IPCC AR5 report...
Most satellite images are polluted by the presence of semi-transparent clouds, called cirrus, returning them unusable. Gao and Li (2017) have developed an empirical method for the correction of thin cirrus for Landsat-8, allowing to return to a clear sky apparent reflectance. Validated qualitatively, we propose here a quantitative validation method...
Far-infrared (FIR: 100cm−1
NEI
NEI
NEI
