Water Resources Research VOL.60 ISSUE 5 | 23 May 2024
How to Select an Objective Function Using Information Theory
Timothy O Hodson + Lucy Amanda Marshall + Thomas Mark Over ...
In machine learning or scientific computing, model performance is measured with an objective function. But why choose one objective over another? According to the information‐theoretic...
Earth's Future VOL.12 ISSUE 5 | 24 May 2024
Natural Hazards in a Changing World: Methods for Analyzing Trends and Non‐Linear Changes
Kristin Vogel + Fiedler + Moran ...
Estimating the frequency and magnitude of natural hazards largely hinges on stationary models, which do not account for changes in the climatological, hydrological, and geophysical...
Journal of Advances in Modeling Earth Systems (JAMES) VOL.16 ISSUE 5 | 22 May 2024
Bayesian Structure Learning for Climate Model Evaluation
Terence J. O'Kane + Dylan Harries + Mark A. Collier
A Bayesian structure learning approach is employed to compare and contrast interactions between the major climate teleconnections over the recent past as revealed in reanalyses...
AGU23 | 11 December 2023
ClimateHub: Deep Search for Climate, Earth and Environmental Sciences
Surya Karthik Mukkavilli + Anne Jones + Birgit Pfitzmann ...
ClimateHub involves extracting knowledge from scientific climate literature to create a valuable natural language data mining resource for the climate, Earth and environmental...
AGU23 | 14 December 2023
From Petabytes to Insights: Tackling Earth Science's Scaling problems in Data, Information and Processes
Rahul Ramachandran
Earth Science faces the challenge of converting petabytes of data into actionable insights. Managing Big Data involves addressing the vast, multidimensional data volumes,...