Ryan L. Sriver

Ryan L. Sriver

University of Illinois at Urbana-Champaign

H-index: 22

North America-United States

About Ryan L. Sriver

Ryan L. Sriver, With an exceptional h-index of 22 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Illinois at Urbana-Champaign, specializes in the field of Climate Dynamics, Earth System Models, Climate Extremes, Climate Uncertainty, Climate Risk.

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

Author Correction: Downscaling and bias-correction contribute considerable uncertainty to local climate projections in CMIP6

Skillful prediction of UK seasonal energy consumption based on surface climate information

Extreme sea levels at different global warming levels (vol 11, pg 746, 2021)

Multimodel ensemble analysis with neural network Gaussian processes

Global variance decomposition of downscaled and bias-corrected CMIP6 climate projections

Convolutional GRU Network for Seasonal Prediction of the El Ni\~ no-Southern Oscillation

Author Correction: Extreme sea levels at different global warming levels

Subseasonal Prediction of Energy Consumption using Long Short-Term Memory Models

Ryan L. Sriver Information

University

Position

Associate Professor of Atmospheric Sciences

Citations(all)

1852

Citations(since 2020)

874

Cited By

1283

hIndex(all)

22

hIndex(since 2020)

17

i10Index(all)

40

i10Index(since 2020)

28

Email

University Profile Page

University of Illinois at Urbana-Champaign

Google Scholar

View Google Scholar Profile

Ryan L. Sriver Skills & Research Interests

Climate Dynamics

Earth System Models

Climate Extremes

Climate Uncertainty

Climate Risk

Top articles of Ryan L. Sriver

Title

Journal

Author(s)

Publication Date

Author Correction: Downscaling and bias-correction contribute considerable uncertainty to local climate projections in CMIP6

npj Climate and Atmospheric Science

David C Lafferty

Ryan L Sriver

2024/1/10

Skillful prediction of UK seasonal energy consumption based on surface climate information

Environmental Research Letters

Samuel Li

Ryan Sriver

Douglas E Miller

2023/5/12

Extreme sea levels at different global warming levels (vol 11, pg 746, 2021)

Nature Climate Change

Claudia Tebaldi

Roshanka Ranasinghe

Michalis Vousdoukas

DJ Rasmussen

Ben Vega-Westhoff

...

2021/9

Multimodel ensemble analysis with neural network Gaussian processes

The Annals of Applied Statistics

Trevor Harris

Bo Li

Ryan Sriver

2023/12

Global variance decomposition of downscaled and bias-corrected CMIP6 climate projections

David Lafferty

Ryan Sriver

2023/8/14

Convolutional GRU Network for Seasonal Prediction of the El Ni\~ no-Southern Oscillation

arXiv preprint arXiv:2306.10443

Lingda Wang

Savana Ammons

Vera Mikyoung Hur

Ryan L Sriver

Zhizhen Zhao

2023/6/18

Author Correction: Extreme sea levels at different global warming levels

Nature Climate Change

Claudia Tebaldi

Roshanka Ranasinghe

Michalis Vousdoukas

DJ Rasmussen

Ben Vega-Westhoff

...

2023/6

Subseasonal Prediction of Energy Consumption using Long Short-Term Memory Models

AGU Fall Meeting Abstracts

Samuel Li

Ryan L Sriver

2022/12

Uncertainty in the Representation of Climate Extremes Across Downscaled and Bias-Corrected CMIP Model Ensembles

AGU Fall Meeting Abstracts

David Conway Lafferty

Ryan L Sriver

2022/12

Uncertainty analysis in multi‐sector systems: Considerations for risk analysis, projection, and planning for complex systems

Vivek Srikrishnan

David C Lafferty

Tony E Wong

Jonathan R Lamontagne

Julianne D Quinn

...

2022/8

Characterizing Uncertainties in the Crop Switching Decision Problem for US Agriculture

AGU Fall Meeting Abstracts

David Lafferty

Ryan Sriver

2021/12

Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on US maize yields

AGU Fall Meeting Abstracts

Ryan Sriver

David Lafferty

Iman Haqiqi

Thomas Hertel

Klaus Keller

...

2021/12

Exploring sea-level rise uncertainties using CMIP5/CMIP6 ensembles combined with a reduced complexity climate model (Hector-BRICK)

AGU Fall Meeting Abstracts

Ryan L Sriver

Benjamin Aaron Vega-Westhoff

Tony E Wong

Corinne Hartin

Klaus Keller

2020/12

Uncertainties in Driving Agricultural Models with Downscaled and Bias-Corrected Climate Information

AGU Fall Meeting Abstracts

David Conway Lafferty

Ryan L Sriver

Iman Haqiqi

Thomas W Hertel

Klaus Keller

...

2020/12

The role of climate sensitivity in upper‐tail sea level rise projections

Geophysical Research Letters

B Vega‐Westhoff

RL Sriver

C Hartin

TE Wong

K Keller

2020/3/28

See List of Professors in Ryan L. Sriver University(University of Illinois at Urbana-Champaign)

Co-Authors

H-index: 98
Michael E. Mann

Michael E. Mann

Penn State University

H-index: 66
Matthew Huber

Matthew Huber

Purdue University

H-index: 52
Klaus Keller

Klaus Keller

Penn State University

H-index: 38
Chris E Forest

Chris E Forest

Penn State University

H-index: 29
Murali Haran

Murali Haran

Penn State University

H-index: 27
Dr. Peter Irvine (@peteirvine)

Dr. Peter Irvine (@peteirvine)

University College London

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