Analysis Tool Methodology Experts Policy Brief

Climate Experts Directory

A comprehensive directory of the world's leading climate scientists whose research underpins Saferland's climate risk methodology. This directory documents 46 scientists across 10 categories, rated by academic credibility and public visibility. Their collective work — spanning sea level rise, extreme weather attribution, ice sheet dynamics, AMOC stability, and Danish regional climate projections — forms the scientific foundation for property-level risk assessment in Denmark.

46
Scientists
28
IPCC Authors
10
Nordic Researchers
4
TIME 100 Listed
8.1
Avg. Credibility
6.2
Avg. Visibility

👤 All Experts

46 scientists across 10 categories
🔍
Scientist Category Field Cred. / Vis. Links Works

★ Scoring Methodology

How credibility and visibility are assessed

Each scientist is rated on two independent scales. Credibility measures academic standing, peer-reviewed impact, and institutional authority. Visibility measures public recognition and influence outside academia. High credibility with low visibility is common among technical specialists; high visibility with low credibility warrants caution.

Credibility Score (1–10)

ScoreCriteria
9–10h-index >100 or Nobel/equivalent prize; IPCC CLA/Chair roles; field-defining discoveries; predictions validated over decades
7–8h-index 50–100; IPCC Lead Author; highly cited researcher (top 1%); major institutional leadership
5–6h-index 30–50; IPCC contributing author or national advisory roles; respected within specialty
3–4Active researcher; publications in peer-reviewed journals; limited cross-field recognition

Public Visibility Score (1–10)

ScoreCriteria
9–10TIME 100; regular mainstream media presence; bestselling books; >500K social media following
7–8TED talks with millions of views; frequent media commentary; popular books; recognized name outside academia
5–6Known in policy circles; occasional media appearances; active science communication
3–4Known within academic community; occasional interviews; limited public profile

🏠 Saferland Relevance

Scientists whose work most directly informs property risk assessment

The following researchers' work most directly informs Saferland's methodology and feature development. Their findings shape our scoring algorithms, scenario projections, and risk factor definitions.

ScientistInstitutionSaferland Relevance
Kirsten HalsnæsDTUFlood damage cost modeling for Denmark. Source for economic panel projections.
Martin StendelDMIDanish sea level projections used in scenario panel. Danish Climate Atlas.
Stefan RahmstorfPIK PotsdamAMOC collapse SLR implications for Northern Europe (+1m geostrophic effect).
Peter & Susanne DitlevsenUniv. of CopenhagenAMOC collapse timeline (2025–2095) — drives worst-case scenario modeling.
Anders LevermannPIK / ColumbiaSea level tipping point research. IPCC SLR chapter author.
Friederike OttoImperial CollegeAttribution science validates linking extreme events to climate change.
Swenja SurminskiLSEProperty flood risk and insurance economics — methodology for scoring.
Tim LentonUniversity of ExeterTipping point framework for scenario design.
Piers ForsterUniversity of LeedsCarbon budget constraints that define scenario timelines.
Claudia TebaldiPNNLSea level scenarios (ScenarioMIP) that underpin SLR projections.

Key citations for methodology documentation

  • IPCC AR6 WG I — Masson-Delmotte, Forster, Seneviratne, and Levermann as authors
  • DMI SLR projections — Stendel et al.
  • DTU flood cost analysis — Halsnæs et al.
  • Global Carbon Budget — Friedlingstein et al. (annual)
  • AMOC tipping — Ditlevsen & Ditlevsen 2023; Rahmstorf et al.
  • Tipping Points Report — Lenton et al. 2023
  • Planetary Boundaries — Rockström et al. 2009, updated 2023

📚 References

Sources and further reading

IPCC & assessment reports

Rankings & databases

Key research programs

Danish & Scandinavian sources

Key publications