Rodanthi-Elisavet Mamouri
Global and Planetary Change · 2015–2017
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 48 citations into it
- Atmospheric Science — 45 citations into it
Whom Rodanthi-Elisavet Mamouri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Oleg Dubovik
- Volker Freudenthaler
- S. Burton
- T. Bates
- P. DeMott
- Matthew Shupe
- Alexander Smirnov
- Brent N. Holben
- Albert Ansmann
- Richard Ferrare
Papers from Rodanthi-Elisavet Mamouri's perspective
Ordered by how strongly the researchers Rodanthi-Elisavet Mamouri trusts endorse each paper. Same corpus, a different order for every researcher.
- Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms
- Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements
- Aerosol-type-dependent lidar ratios observed with Raman lidar
- Modelling lidar-relevant optical properties of complex mineral dust aerosols
- Portable Raman Lidar Polly XT for Automated Profiling of Aerosol Backscatter, Extinction, and Depolarization
- Aerosol classification from airborne HSRL and comparisons with the CALIPSO vertical feature mask
- Multiyear aerosol observations with dual‐wavelength Raman lidar in the framework of EARLINET
- Ceilometer lidar comparison: backscatter coefficient retrieval and signal-to-noise ratio determination
- Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust
- Lidar, Range-Resolved Optical Remote Sensing of the Atmosphere
Their papers
- Potential of polarization/Raman lidar to separate fine dust, coarse dust, maritime, and anthropogenic aerosol profiles (2017) — 169 citations
- An overview of the first decade of Polly NET : an emerging network of automated Raman-polarization lidars for continuous aerosol profiling (2016) — 271 citations
- Potential of polarization lidar to provide profiles of CCN- and INP-relevant aerosol parameters (2015) — 164 citations