Qianqian Song

Qianqian Song

University of Maryland, Baltimore County

H-index: 6

North America-United States

About Qianqian Song

Qianqian Song, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Maryland, Baltimore County, specializes in the field of Dust radiative effects, Dust Mineralogy, Dust.

His recent articles reflect a diverse array of research interests and contributions to the field:

Toward a US framework for continuity of satellite observations of Earth's climate and for supporting societal resilience

Thermal infrared dust optical depth and coarse-mode effective diameter over oceans retrieved from collocated MODIS and CALIOP observations

How well do Earth System Models reproduce observed aerosol changes during the Spring 2020 COVID-19 lockdowns?

Modeling impacts of dust mineralogy on Earth’s Radiation and Climate

Size-Resolved Dust Direct Radiative Effect Efficiency Derived from Satellite Observations

The thermal infrared optical depth of mineral dust retrieved from integrated CALIOP and IIR observations

Observation and modeling of the historic “Godzilla” African dust intrusion into the Caribbean Basin and the southern US in June 2020

Vertical dependence of horizontal variation of cloud microphysics: observations from the ACE-ENA field campaign and implications for warm-rain simulation in climate models

Qianqian Song Information

University

Position

___

Citations(all)

159

Citations(since 2020)

157

Cited By

25

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

University of Maryland, Baltimore County

Google Scholar

View Google Scholar Profile

Qianqian Song Skills & Research Interests

Dust radiative effects

Dust Mineralogy

Dust

Top articles of Qianqian Song

Title

Journal

Author(s)

Publication Date

Toward a US framework for continuity of satellite observations of Earth's climate and for supporting societal resilience

Earth's Future

KISS Continuity Study Team

2024/2

Thermal infrared dust optical depth and coarse-mode effective diameter over oceans retrieved from collocated MODIS and CALIOP observations

Atmospheric Chemistry and Physics

Jianyu Zheng

Zhibo Zhang

Hongbin Yu

Anne Garnier

Qianqian Song

...

2023/7/25

How well do Earth System Models reproduce observed aerosol changes during the Spring 2020 COVID-19 lockdowns?

EGUsphere

Ruth AR Digby

Nathan P Gillett

Adam H Monahan

Knut von Salzen

Antonis Gkikas

...

2023/4/11

Modeling impacts of dust mineralogy on Earth’s Radiation and Climate

EGUsphere

Qianqian Song

Paul Ginoux

María Gonçalves Ageitos

Ron L Miller

Vincenzo Obiso

...

2023/12/15

Size-Resolved Dust Direct Radiative Effect Efficiency Derived from Satellite Observations

Atmospheric Chemistry and Physics

Qianqian Song

Zhibo Zhang

Hongbin Yu

Jasper F Kok

Claudia Di Biagio

...

2022/10/12

The thermal infrared optical depth of mineral dust retrieved from integrated CALIOP and IIR observations

Remote Sensing of Environment

Jianyu Zheng

Zhibo Zhang

Anne Garnier

Hongbin Yu

Qianqian Song

...

2022/3/1

Observation and modeling of the historic “Godzilla” African dust intrusion into the Caribbean Basin and the southern US in June 2020

Atmospheric Chemistry and Physics

Hongbin Yu

Qian Tan

Lillian Zhou

Yaping Zhou

Huisheng Bian

...

2021/8/18

Vertical dependence of horizontal variation of cloud microphysics: observations from the ACE-ENA field campaign and implications for warm-rain simulation in climate models

Atmospheric Chemistry and Physics

Zhibo Zhang

Qianqian Song

David B Mechem

Vincent E Larson

Jian Wang

...

2021/3/2

Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales: regional and interannual variability

Atmospheric Chemistry and Physics

Qianqian Song

Zhibo Zhang

Hongbin Yu

Paul Ginoux

Jerry Shen

2021/9/9

Mineral dust detection using satellite data

Peichang Shi

Qianqian Song

Janita Patwardhan

Zhibo Zhang

Jianwu Wang

2020

Satellite Remote Sensing Observations of Trans-Atlantic Dust Transport and Deposition: A Multi-Sensor Analysis

Hongbin Yu

Qian Tan

Mian Chin

Dongchul Kim

Zhibo Zhang

...

2021/2/17

See List of Professors in Qianqian Song University(University of Maryland, Baltimore County)