Codice QR

Case Study for Testing the Validity of NO<sub><i>x</i></sub>-Ozone Algorithmic Climate Change Functions for Optimising Flight Trajectories

One possibility to reduce the climate impact of aviation is the avoidance of climate-sensitive regions, which is synonymous with climate-optimised flight planning. Those regions can be identified by algorithmic Climate Change Functions (aCCFs) for nitrogen oxides (NO<inline-formula><math xmlns="http...

Descrizione completa

Salvato in:
Autori principali: Pratik Rao, Feijia Yin, Volker Grewe, Hiroshi Yamashita, Patrick Jöckel, Sigrun Matthes, Mariano Mertens, Christine Frömming
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2022-04-01
Serie:Aerospace
Soggetti:
climate impact
aviation
meteorology
algorithmic climate change functions
NO<sub><i>x</i></sub>-O<sub>3</sub> effects
Accesso online:https://www.mdpi.com/2226-4310/9/5/231
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi