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Jatan Buch
Jatan Buch
Department of Earth and Environmental Engineering, Columbia University
在 columbia.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Using Gaia DR2 to constrain local dark matter density and thin dark disk
J Buch, SCJ Leung, JJ Fan
Journal of Cosmology and Astroparticle Physics 2019 (04), 026, 2019
1222019
PPPC 4 DM secondary: a Poor Particle Physicist Cookbook for secondary radiation from Dark Matter
J Buch, M Cirelli, G Giesen, M Taoso
Journal of Cosmology and Astroparticle Physics 2015 (09), 037, 2015
732015
Galactic origin of relativistic bosons and XENON1T excess
J Buch, MA Buen-Abad, JJ Fan, JSC Leung
Journal of Cosmology and Astroparticle Physics 2020 (10), 051, 2020
352020
Implications of the Gaia sausage for dark matter nuclear interactions
J Buch, JJ Fan, JSC Leung
Physical Review D 101 (6), 063026, 2020
262020
Late decaying 2-component dark matter scenario as an explanation of the AMS-02 positron excess
J Buch, P Ralegankar, V Rentala
Journal of Cosmology and Astroparticle Physics 2017 (10), 028, 2017
192017
Dark matter substructure under the electron scattering lamppost
J Buch, MA Buen-Abad, JJ Fan, JSC Leung
Physical Review D 102 (8), 083010, 2020
162020
SMLFire1. 0: a stochastic machine learning (SML) model for wildfire activity in the western United States
J Buch, AP Williams, CS Juang, WD Hansen, P Gentine
Geoscientific Model Development 16 (12), 3407-3433, 2023
72023
Learning fire spread dynamics with physics-constrained machine learning
J Buch, A Jivani, X Huan, AP Williams, P Gentine
APS March Meeting Abstracts 2023, W53. 003, 2023
12023
Efficient first-order algorithms for large-scale, non-smooth maximum entropy models with application to wildfire science
GP Langlois, J Buch, J Darbon
Entropy 26 (8), 691, 2024
2024
Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM Emissions Forecasting System
K Liao, J Buch, K Lamb, P Gentine
arXiv preprint arXiv:2312.04291, 2023
2023
Historical and future responses of western US forest fire and above-ground carbon to anthropogenic climate change
P Williams, W Hansen, AT Trugman, JT Abatzoglou, J Buch, CS Juang, ...
AGU Fall Meeting Abstracts 2023, B31A-04, 2023
2023
First seasonal and subseasonal-to-seasonal scale forecasts of western US wildfire activity with a stochastic machine learning fire model (SMLFire1. 0)
J Buch, P Williams, P Gentine
AGU Fall Meeting Abstracts 2023, GC23D-02, 2023
2023
Determining Optimal Prescribed Fire Burning Periods Using a Graph Neural Network-Based PM2. 5 Emissions Forecasting System
K Liao, J Buch, KD Lamb, P Gentine
AGU Fall Meeting Abstracts 2023, B01-07, 2023
2023
A new machine learning-based fire hazard index for forecasting wildfire risk in a warming climate
J Buch, K Lamb, P Gentine
AGU Fall Meeting Abstracts 2023, NH41A-05, 2023
2023
Seasonal forecasts of wildfire frequency and burned area in the western United States using a stochastic machine learning fire model
J Buch, A Park Williams, P Gentine
EGU General Assembly Conference Abstracts, EGU-11238, 2023
2023
An Updated Attribution of Western United States Forest Fire Trends to Anthropogenic Climate Change: 1984-2022
P Williams, W Hansen, AT Trugman, CS Juang, J Buch, J Abatzoglou
AGU Fall Meeting Abstracts 2022, GC52C-07, 2022
2022
Disentangling the Effects of Meteorological Variability and Wildfires on PM2. 5 Concentrations in California using Machine Learning
K Liao, K Lamb, J Buch, P Gentine
AGU Fall Meeting Abstracts 2022, A16A-08, 2022
2022
A stochastic machine learning model of wildfire activity in the Western United States
J Buch, P Williams, CS Juang, W Hansen, P Gentine
AGU Fall Meeting Abstracts 2022, NH45F-0497, 2022
2022
Scaling properties of wildfire frequency and intensity in the western United States
J Buch
APS March Meeting Abstracts 2022, F10. 008, 2022
2022
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