Touring the atmosphere aboard the A-Train
By Tristan L'Ecuyer, Jonathan H. Jiang. 2010
233 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/8d3271188cf1bc7b889dcf8c6be459fb38730108
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Andrew Gettelman
- Hugh Morrison
- Xiaohong Liu
- Steven Ghan
- J. Penner
- Minghuai Wang
- Seiji Kato
- David Crisp
In Global and Planetary Change
- Andrew Gettelman
- Hugh Morrison
- Xiaohong Liu
- Steven Ghan
- Seiji Kato
- J. Penner
- Minghuai Wang
- David Crisp
Citations in the corpus
- Advances in Understanding Top-of-Atmosphere Radiation Variability from Satellite Observations (2012, background): “instruments launched as part of the Earth Observing System (EOS) and active instruments belonging to the A-Train constellation (L’Ecuyer and Jiang 2010), a more complete observational record of ERB variations and the underlying processes is now possible.”
- The on-orbit performance of the Orbiting Carbon Observatory-2 (OCO-2) instrument and its radiometrically calibrated products (2016, methodology): “After completing a series of spacecraft check-out activities and orbit-raising maneuvers, it was inserted at the front of the 705 km Afternoon Constellation (A-Train; L’Ecuyer and Jiang, 2010) on 3 August 2014.”
- The MODIS Cloud Optical and Microphysical Products: Collection 6 Updates and Examples From Terra and Aqua (2017, background): “, synergistic A-Train [33] studies have provided important constraints on ice particle radiative models [34]).”
- Constraining cloud lifetime effects of aerosols using A‐Train satellite observations (2012, background): “[4] The CloudSat satellite, along with other satellites in the A-Train constellation [L’Ecuyer and Jiang, 2010; Stephens et al., 2002] provide nearly coincident high-resolution global observations of precipitation, aerosols and clouds, which allows the opportunity for a major advance in satellite…”
- Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA “A-Train” satellite observations (2012, background): “multiple parameters that can be used for evaluating aspects of climate model performances [L’Ecuyer and Jiang, 2010].”