Results 31 to 40 of about 25,267,562 (240)

Attribution of the 2020 surge in atmospheric methane by inverse analysis of GOSAT observations

Environmental Research Letters, 2022
Atmospheric methane mixing ratio rose by 15 ppbv between 2019 and 2020, the fastest growth rate on record. We conduct a global inverse analysis of 2019–2020 Greenhouse Gases Observing Satellite observations of atmospheric methane to analyze the ...
Zhen Qu, Daniel J Jacob, Yuzhong Zhang, Lu Shen, Daniel J Varon, Xiao Lu, Tia Scarpelli, Anthony Bloom, John Worden, Robert J Parker   +9 more
doaj   +1 more source

Efficient Exploration of Microstructure-Property Spaces via Active Learning

Frontiers in Materials, 2022
In materials design, supervised learning plays an important role for optimization and inverse modeling of microstructure-property relations. To successfully apply supervised learning models, it is essential to train them on suitable data.
Lukas Morand, Norbert Link, Tarek Iraki, Johannes Dornheim, Johannes Dornheim, Dirk Helm   +5 more
doaj   +1 more source

Language Model Inversion

, 2023
Language models produce a distribution over the next token; can we use this information to recover the prompt tokens? We consider the problem of language model inversion and show that next-token probabilities contain a surprising amount of information about the preceding text.
Morris, John X., Zhao, Wenting, Chiu, Justin T., Shmatikov, Vitaly, Rush, Alexander M.   +4 more
openaire   +2 more sources

Recent developments in fast and scalable inverse modeling and data assimilation methods in hydrology

, 2020
The last twenty years have brought significant advances in hydrology and hydrogeology, especially in the area of data availability and predictive modeling capabilities.
Hojat Ghorbanidehno, A. Kokkinaki, Jonghyun Lee, Eric F Darve   +3 more
semanticscholar   +1 more source

Inverse modeling of fire emissions constrained by smoke plume transport using HYSPLIT dispersion model and geostationary satellite observations

Atmospheric Chemistry and Physics, 2020
. Smoke forecasts have been challenged by high uncertainty in fire emission estimates. We develop an inverse modeling system, the HYSPLIT-based Emissions Inverse Modeling System for wildfires (or HEIMS-fire), that estimates wildfire emissions from the ...
Hyun Cheol Kim, T. Chai, A. Stein, S. Kondragunta   +3 more
semanticscholar   +1 more source

A tutorial on recursive models for analyzing and predicting path choice behavior

, 2020
The problem at the heart of this tutorial consists in modeling the path choice behavior of network users. This problem has been extensively studied in transportation science, where it is known as the route choice problem. In this literature, individuals'
Frejinger, Emma, Zimmermann, Maëlle
core   +1 more source

Inter-annual variability of summertime CO2 exchange in Northern Eurasia inferred from GOSAT XCO2

Environmental Research Letters, 2016
Northern Eurasia is one of the largest terrestrial carbon reservoirs on the Earth’s surface. However, since the coverage of surface CO _2 observations is still limited, the response to the climate variability remains uncertain. We estimated monthly CO _2
M Ishizawa, K Mabuchi, T Shirai, M Inoue, I Morino, O Uchino, Y Yoshida, D Belikov, S Maksyutov   +8 more
doaj   +1 more source

Hybrid Deep Learning and Sensitivity Operator-Based Algorithm for Identification of Localized Emission Sources

Mathematics, 2023
Hybrid approaches combining machine learning with traditional inverse problem solution methods represent a promising direction for the further development of inverse modeling algorithms.
Alexey Penenko, Mikhail Emelyanov, Evgeny Rusin, Erjena Tsybenova, Vasily Shablyko   +4 more
doaj   +1 more source

Changes in HCFC Emissions in China During 2011–2017

Geophysical Research Letters, 2019
Hydrochlorofluorocarbons (HCFCs), the main substitutes of chlorofluorocarbons, are regulated by the Montreal Protocol. Chinese HCFC emissions increased fast from the beginning of this century.
X. Fang, B. Yao, M. K. Vollmer, S. Reimann, L. Liu, L. Chen, R. G. Prinn, J. Hu   +7 more
doaj   +1 more source

Forward and Inverse Modeling for Jovian Seismology [PDF]

, 2012
Jupiter is expected to pulsate in a spectrum of acoustic modes and recent re-analysis of a spectroscopic time series has identified a regular pattern in the spacing of the frequencies \citep{gaulme2011}.
Aerts, Belkacem, Brown, Christensen-Dalsgaard, Fortney, Gaulme, Gaulme, Gudkova, Guillot, Guillot, Guillot, Hubbard, Hubbard, Jackiewicz, Jason Jackiewicz, Jonathan Fortney, Lee, Mark Marley, Marley, Militzer, Mosser, Mosser, Mosser, Nadine Nettelmann, Nettelmann, Nettelmann, Pijpers, Provost, Saumon, Saumon, Schmider, Tassoul, Vorontsov, Vorontsov, Vorontsov   +34 more
core   +1 more source