Unlocking the benefits of transparent and reusable science for climate risk management

A Adam B. Pollack (Thayer School of Engineering, Dartmouth College) L Lisa Auermuller (School of Environmental and Biological Sciences, Rutgers University) C Casey D. Burleyson (Pacific Northwest National Laboratory) J Jentry Campbell (Dartmouth Libraries, Dartmouth College) M Madison Condon (Boston University–School of Law) C Courtney Cooper (Department of Environmental Science and Studies, Berry College) M Matteo Coronese (Institute of Economics and L’EmbeDS, Scuola Superiore Sant’Anna) S Sönke Dangendorf J James Doss-Gollin (Department of Civil and Environmental Engineering, Rice University) P Prabhat Hegde (Thayer School of Engineering, Dartmouth College) C Casey Helgeson (Earth and Environmental Systems Institute, Penn State University) R Robert E. Kopp J Jan Kwakkel (Multi Actor Systems Department, Faculty of Technology, Policy and Management, Delft University of Technology) C Corey Lesk (Department of Geography, Dartmouth College) J Justin Mankin (Department of Geography, Dartmouth College) R Robert E. Nicholas (Earth and Environmental Systems Institute, Penn State University) J Jennie Rice (Pacific Northwest National Laboratory) S Samantha Roth (Thayer School of Engineering, Dartmouth College) V Vivek Srikrishnan (Department of Biological and Environmental Engineering, Cornell University) M Moira Scheeler (Department of Earth and Planetary Sciences and Rutgers Climate & Energy Institute, Rutgers) N Nancy Tuana (Department of Philosophy, Penn State University) C Chris Vernon (Pacific Northwest National Laboratory) M Mengqi Zhao (Pacific Northwest National Laboratory) K Klaus Keller (Thayer School of Engineering, Dartmouth College)

Abstract

People around the world seek climate risk information to guide their decisions. For instance, projections about future flood risk inform where households choose to live, how lenders manage credit risks, and which communities receive federal funding. Yet data limitations and fundamental validation challenges raise important concerns about the reliability of such projections. The principles of transparency and reusability help address these concerns by enabling scrutiny of assumptions and methods, development of foundational data and tools, and consistent application of evaluation standards. While there is ongoing debate about how much transparency commercial climate risk services should provide, many expect noncommercial actors to lead the way on operationalizing transparency and reusability to fulfill their knowledge-building role in the climate risk ecosystem. However, despite prominent success stories, we find a substantial gap between principles and practice: Only four percent of the most-cited peer-reviewed climate risk studies in recent years fully share their data and code although this is a widely accepted minimum standard for transparency. We highlight low-cost measures that noncommercial researchers can take now to improve transparency and reusability. We also emphasize that transformative progress requires substantial investment, cross-sector collaboration, and careful consideration of tradeoffs, data rights, and multiple perspectives on equity. We hope this perspective accelerates both immediate actions and longer-term conversations to improve the ability of science to effectively support timely, evidence-based, and sound climate risk management.

Article Details

Volume / Issue Vol. 123, Issue 3
Published January 20, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (24)

A

Adam B. Pollack

Thayer School of Engineering, Dartmouth College

L

Lisa Auermuller

School of Environmental and Biological Sciences, Rutgers University

C

Casey D. Burleyson

Pacific Northwest National Laboratory

J

Jentry Campbell

Dartmouth Libraries, Dartmouth College

M

Madison Condon

Boston University–School of Law

C

Courtney Cooper

Department of Environmental Science and Studies, Berry College

M

Matteo Coronese

Institute of Economics and L’EmbeDS, Scuola Superiore Sant’Anna

S

Sönke Dangendorf

J

James Doss-Gollin

Department of Civil and Environmental Engineering, Rice University

P

Prabhat Hegde

Thayer School of Engineering, Dartmouth College

C

Casey Helgeson

Earth and Environmental Systems Institute, Penn State University

R

Robert E. Kopp

J

Jan Kwakkel

Multi Actor Systems Department, Faculty of Technology, Policy and Management, Delft University of Technology

C

Corey Lesk

Department of Geography, Dartmouth College

J

Justin Mankin

Department of Geography, Dartmouth College

R

Robert E. Nicholas

Earth and Environmental Systems Institute, Penn State University

J

Jennie Rice

Pacific Northwest National Laboratory

S

Samantha Roth

Thayer School of Engineering, Dartmouth College

V

Vivek Srikrishnan

Department of Biological and Environmental Engineering, Cornell University

M

Moira Scheeler

Department of Earth and Planetary Sciences and Rutgers Climate & Energy Institute, Rutgers

N

Nancy Tuana

Department of Philosophy, Penn State University

C

Chris Vernon

Pacific Northwest National Laboratory

M

Mengqi Zhao

Pacific Northwest National Laboratory

K

Klaus Keller

Thayer School of Engineering, Dartmouth College