David Topping

According to our database, David Topping authored at least 7 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

CAAL: Confidence-Aware Active Learning for Heteroscedastic Atmospheric Regression.

Fei Jiang, Jiyang Xia, Junjie Yu, Mingfei Sun, Hugh Coe, David Topping, Dantong Liu, Zhenhui Jessie Li, Zhonghua Zheng

CoRR, February, 2026

Comparing how Large Language Models perform against keyword-based searches for social science research data discovery.

Mark A. Green, Maura E. Halstead, Caroline Jay, Richard Kingston, Alex Singleton, David Topping

CoRR, January, 2026

2025

From keywords to semantics: Perceptions of large language models in data discovery.

Maura E. Halstead, Mark A. Green, Caroline Jay, Richard Kingston, David Topping, Alexander D. Singleton

CoRR, October, 2025

Integration and execution of Community Land Model Urban (CLMU) in a containerized environment.

Junjie Yu, Yuan Sun, Sarah Lindley, Caroline Jay, David Topping, Keith W. Oleson, Zhonghua Zheng

Environ. Model. Softw., 2025

2022

A Data Integration Approach to Estimating Personal Exposures to Air Pollution.

Matthew L. Thomas, Gavin Shaddick, David Topping, Karyn Morrissey, Thomas J. Brannan, Mike Diessner, Ruth C. E. Bowyer, Stefan Siegert, Hugh Coe, James Evans, Fernando Benitez-Paez, James V. Zidek

Proceedings of the IEEE International Conference on Big Data, 2022

2020

PyCHAM: CHemistry with Aerosol Microphysics in Python.

Simon O'meara, Shuxuan Xu, David Topping, Gerard Capes, Douglas Lowe, M. Rami Alfarra, Gordon McFiggans

J. Open Source Softw., 2020

2018

PyBox: An automated box-model generator for atmospheric chemistry and aerosol simulations.

David Topping, Paul Connolly, Jonathan Reid

J. Open Source Softw., 2018