◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

E. Shuckburgh

2 papers hereh-index 303.6k citations107 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • physics.ao-ph1

identity via Semantic Scholar / OpenAlex

most citedA Temporal Stochastic Bias Correction using a Machine Learning Attention model

8 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024★ 8 cited

A Temporal Stochastic Bias Correction using a Machine Learning Attention model

Omer Nivron, Damon J. Wischik, Mathieu Vrac +2

Climate models are biased with respect to real-world observations. They usually need to be adjusted before being used in impact studies. The suite of statistical methods that enabl…

physics.ao-ph2022

A locally time-invariant metric for climate model ensemble predictions of extreme risk

Mala Virdee, Markus Kaiser, Emily Shuckburgh +2

Adaptation-relevant predictions of climate change are often derived by combining climate model simulations in a multi-model ensemble. Model evaluation methods used in performance-b…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.