Steve Ackerman

Steve Ackerman

University of Wisconsin-Madison

H-index: 53

North America-United States

About Steve Ackerman

Steve Ackerman, With an exceptional h-index of 53 and a recent h-index of 31 (since 2020), a distinguished researcher at University of Wisconsin-Madison, specializes in the field of weather, climate.

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

Lessons learned from the updated GEWEX Cloud Assessment database

A 20-year climatology of sea ice leads detected in infrared satellite imagery using a convolutional neural network

Probing the Explainability of Neural Network Cloud-Top Pressure Models for LEO and GEO Imagers

Information content of a synergy of ground-based and space-based infrared sounders. Part I: Clear-sky environments

Towards a continuous NASA cloud climate data record from MODIS to VIIRS

Development of the NASA Cloud Retrieval Algorithms for Next Generation Geostationary Imagers applied to AHI during CAMP2Ex

Teaching Climate and Climate Change Online to Undergraduates at the UW-Madison

A Synergy of Ground-based and Space-based Sensors as a Potential Solution for Sounding the Planetary Boundary Layer

Steve Ackerman Information

University

Position

Professor of Atmospheric and Oceanic Sciences

Citations(all)

17784

Citations(since 2020)

5044

Cited By

13083

hIndex(all)

53

hIndex(since 2020)

31

i10Index(all)

109

i10Index(since 2020)

64

Email

University Profile Page

University of Wisconsin-Madison

Google Scholar

View Google Scholar Profile

Steve Ackerman Skills & Research Interests

weather

climate

Top articles of Steve Ackerman

Title

Journal

Author(s)

Publication Date

Lessons learned from the updated GEWEX Cloud Assessment database

Claudia J Stubenrauch

Stefan Kinne

Giulio Mandorli

William B Rossow

David M Winker

...

2024/2/29

A 20-year climatology of sea ice leads detected in infrared satellite imagery using a convolutional neural network

Remote Sensing

Jay P Hoffman

Steven A Ackerman

Yinghui Liu

Jeffrey R Key

2022/11/15

Probing the Explainability of Neural Network Cloud-Top Pressure Models for LEO and GEO Imagers

Artificial Intelligence for the Earth Systems

Charles H White

Andrew K Heidinger

Steven A Ackerman

2022/10

Information content of a synergy of ground-based and space-based infrared sounders. Part I: Clear-sky environments

Journal of Atmospheric and Oceanic Technology

David M Loveless

Timothy J Wagner

Robert O Knuteson

David D Turner

Steven A Ackerman

2022/6

Towards a continuous NASA cloud climate data record from MODIS to VIIRS

EGU General Assembly Conference Abstracts

Kerry Meyer

Steven Platnick

Robert Holz

Steven Ackerman

Andrew Heidinger

...

2021/4

Development of the NASA Cloud Retrieval Algorithms for Next Generation Geostationary Imagers applied to AHI during CAMP2Ex

AGU Fall Meeting Abstracts

Robert Holz

Kerry Meyer

Steven Platnick

Nandana Amarasinghe

Galina Wind

...

2021/12

Teaching Climate and Climate Change Online to Undergraduates at the UW-Madison

AGU Fall Meeting Abstracts

Margaret Mooney

Steven Ackerman

Jonathan Martin

2021/12

A Synergy of Ground-based and Space-based Sensors as a Potential Solution for Sounding the Planetary Boundary Layer

AGU Fall Meeting Abstracts

David Loveless

Timothy Wagner

Robert Knuteson

David Turner

Steven Ackerman

2021/12

Application of a convolutional neural network for the detection of sea ice leads

Jessica K Nadalin

Uri T Eden

Xue Han

R Mark Richardson

Catherine J Chu

...

2021/8/1

Evaluation of Visible Infrared Imaging Radiometer Suite (VIIRS) neural network cloud detection against current operational cloud masks

Atmospheric Measurement Techniques

Charles H White

Andrew K Heidinger

Steven A Ackerman

2021/5/7

LEO to GEO Cloud Detection Using the MODIS Cloud Mask (MOD35) Applied to AHI During CAMP2Ex

AGU Fall Meeting Abstracts

Steven Ackerman

Richard Frey

Robert Holz

Paolo Veglio

Kerry Meyer

...

2021/12

Development of NASA VIIRS-Like Cloud Property Algorithms for Next Generation Geostationary Imagers

AGU Fall Meeting Abstracts

R Holz

K Meyer

SE Platnick

A Heidinger

N Amarasinghe

...

2020/12

Evaluation of VIIRS neural network cloud detection against current operational cloud masks

Atmos. Meas. Tech. Discuss

Charles H White

Andrew K Heidinger

Steven A Ackerman

2020/11/10

The continuity MODIS-VIIRS cloud mask

Remote Sensing

Richard A Frey

Steven A Ackerman

Robert E Holz

Steven Dutcher

Zach Griffith

2020/10/13

Ground-based Sounders as a Solution to Infrared Sounding in Cloudy Environments

100th American Meteorological Society Annual Meeting

David M Loveless

Timothy J Wagner

David D Turner

Steven A Ackerman

2020/1/13

See List of Professors in Steve Ackerman University(University of Wisconsin-Madison)