Reply to Kreider et al.: Encounter rate calculation is robust
Code for Figure 1 in "Reply to Kreider et al.: Encounter rate calculation is robust"
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Code for Figure 1 in "Reply to Kreider et al.: Encounter rate calculation is robust"
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Code for Figure 1 in "Reply to Kreider et al.: Encounter rate calculation is robust"
us (code pays fourni par la source)
Hu Jason, Iván Gonzalo Higuera-Mendieta, Patrick Obin Sturm, Makoto Kelp
Data and Code for the preprint "Toward Mechanistic Interpretability of an AI Foundation Model Fine-Tuned for Atmospheric Chemistry".
Hu Jason, Iván Gonzalo Higuera-Mendieta, Patrick Obin Sturm, Makoto Kelp
Data and Code for the preprint "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 …
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 …
Code for Figure 1 in "Reply to Kreider et al.: Encounter rate calculation is robust"
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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 …
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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 …
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Minghao Qiu, Jessica Li, Carlos Francisco Gould, Renzhi Jing et autres
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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 …
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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 …
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