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Profil bibliographique

Makoto Kelp

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65Publications signalées
786Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Atmospheric chemistry and aerosolsAir Quality Monitoring and ForecastingAir Quality and Health ImpactsFire effects on ecosystemsAtmospheric Ozone and Climate

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Toward Mechanistic Interpretability of an AI Foundation Model Fine-Tuned for Atmospheric Chemistry

Jason Y. Hu, Iván Higuera‐Mendieta, Patrick Obin Sturm, Makoto Kelp

Weather forecasting foundation models (FMs) are increasingly fine-tuned to predict air quality, offering fast global pollution forecasts at lower computational cost than conventional chemical transport models. These FMs are typically trained on reanalysis data and generate forecasts through autoregressive rollout. They do …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Toward Mechanistic Interpretability of an AI Foundation Model Fine-Tuned for Atmospheric Chemistry

Jason Y. Hu, Iván Higuera‐Mendieta, Patrick Obin Sturm, Makoto Kelp

Weather forecasting foundation models (FMs) are increasingly fine-tuned to predict air quality, offering fast global pollution forecasts at lower computational cost than conventional chemical transport models. These FMs are typically trained on reanalysis data and generate forecasts through autoregressive rollout. They do …

0 citations arXiv (Cornell University)
Accès ouvert 2025 article OpenAlex

Large role of anthropogenic climate change in driving smoke concentrations across the western United States from 1992 to 2020

Feng Xu, Loretta J. Mickley, Jed Oliver Kaplan, Makoto Kelp et autres

Wildfire activity has increased dramatically in the western United States over the last three decades, having a significant impact on air quality and human health. However, quantifying the drivers of trends in wildfires and subsequent smoke concentrations is challenging, as both natural …

us, ca (code pays fourni par la source)

2 citations Proceedings of the National Academy of Sciences
Accès ouvert 2025 article OpenAlex

Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research

Sebastian H. M. Hickman, Makoto Kelp, Paul Thomas Griffiths, Kelsey Doerksen et autres

Machine learning (ML) is transforming atmospheric chemistry, offering powerful tools to address challenges in tropospheric ozone research, a critical area for climate resilience and public health. As in adjacent fields, ML approaches complement existing research by learning patterns from ever-increasing volumes of …

gb, us, nl, de, cn (code pays fourni par la source)

7 citations Geoscientific model development
Accès ouvert 2025 article OpenAlex

Managing Smoke Risk from Wildland Fires: Northern California as a Case Study

K. C. Chung, Tianjia Liu, Makoto Kelp, K.G. Vohra et autres

High Resolution Image Download MS PowerPoint Slide Smoke fine particulate matter (PM 2.5 ) from increasing wildfires in the western United States threatens public health. While land managers often prioritize reducing wildfire risk in the wildland-urban interface, the impact on regional air …

us, ca, gb (code pays fourni par la source)

2 citations Environmental Science & Technology
Accès ouvert 2025 article OpenAlex

Effect of Recent Prescribed Burning and Land Management on Wildfire Burn Severity and Smoke Emissions in the Western United States

Makoto Kelp, Marshall Burke, Minghao Qiu, Iván Higuera‐Mendieta et autres

Abstract Wildfires in the western US increasingly threaten infrastructure, air quality, and public health. Prescribed (“Rx”) fire is often proposed to mitigate future wildfires, but treatments remain limited, and few studies quantify their effectiveness on recent major wildfires. We investigate the effects …

us, ca (code pays fourni par la source)

11 citations AGU Advances

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