Ground-Based Temperature and Humidity Profiling Using Spectral Infrared and Microwave Observations. Part I: Simulated Retrieval Performance in Clear-Sky Conditions
By Ulrich Löhnert, David D. Turner, Susanne Crewell. 2009
143 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/338030ea88515f83885ade112379f0e39f730c68
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
- Brent N. Holben
- Ulrich Löhnert
- David D. Turner
- Alexander Smirnov
- David N. Whiteman
- Lucas Alados-Arboledas
- Daniel F. Perez-Ramirez
- M. Andrade
In Global and Planetary Change
- Brent N. Holben
- Ulrich Löhnert
- David D. Turner
- Alexander Smirnov
- David N. Whiteman
- Lucas Alados-Arboledas
- Daniel F. Perez-Ramirez
- M. Andrade
Citations in the corpus
- Information Content and Uncertainties in Thermodynamic Profiles and Liquid Cloud Properties Retrieved from the Ground-Based Atmospheric Emitted Radiance Interferometer (AERI) (2014, methodology): “An important conclusion of this work is that the DFS from the AERIoe algorithm applied to real AERI data are quantitatively the same as those shown by L€ohnert et al. (2009), who used simulated AERI radiance data.”
- Evaluation of AERONET precipitable water vapor versus microwave radiometry, GPS, and radiosondes at ARM sites (2014, background): “Microwave radiometers can operate in a continuous and unattendedmanner under almost all weather conditions with high temporal resolution [Cimini et al., 2006] and with low uncertainty (typically below 0.04 g cm 2) [e.g., Löhnert et al., 2009].”