Results 191 to 200 of about 98,155 (333)

Imputing Missing Long‐Term Spatiotemporal Multivariate Atmospheric Data With CNN‐Transformer Machine Learning

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Continuous physical domains are important for scientific investigations of dynamical processes in the atmosphere. However, missing data—arising from operational constraints and adverse environmental conditions—pose significant challenges to accurate analysis and modeling.
Jiahui Hu, Wenjun Dong, Alan Z. Liu
wiley   +1 more source

Downscaling Microwave‐Based Evapotranspiration With a Fourier‐Supervised Multi‐Source Fusion Network in Central‐Southern East Asia

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Evapotranspiration (ET) is a critical component of the land‐atmosphere energy and water cycle. Satellite remote sensing has proven to be highly effective for large‐scale ET estimation across heterogeneous landscapes, but producing high‐resolution, all‐weather ET remains difficult.
Haoyang Li   +9 more
wiley   +1 more source

Chemoautotrophic carbon fixation in thermokarst lakes on the Tibetan Plateau. [PDF]

open access: yesNat Commun
Liu F   +12 more
europepmc   +1 more source

Archaeology of the Tibetan Plateau

open access: yes, 2019
Considering the relatively short history of archaeological research on the Tibetan Plateau, this field is remarkably contested. Major problems that vex the field are a lack of reliable dates, the dearth of archaeological material, the unevenness of research in various parts of the Plateau, and political issues.
openaire   +1 more source

A Graph‐Based Deep Learning Approach for Daily Flash Flood Susceptibility Modeling in China

open access: yesWater Resources Research, Volume 62, Issue 4, April 2026.
Abstract Flash floods are sudden flood events triggered by intense rainfall, and often exacerbated by mountainous terrain that accelerates surface runoff. To support disaster mitigation and management, deep learning (DL) models have been widely applied to flash flood susceptibility (FFS) modeling. However, traditional deep learning (DL) models overlook
Jun Liu   +3 more
wiley   +1 more source

Reply to Comment by Hetényi and Cattin on: “Raising the Roof of the World: Intra‐Crustal Asian Mantle Supports the Himalayan‐Tibetan Orogen”

open access: yesTectonics, Volume 45, Issue 4, April 2026.
Abstract We welcome the critique of Hetényi and Cattin on Sternai et al. (2025, https://doi.org/10.1029/2025tc009057), as it brings to light evaluative issues that require clarification and offers an opportunity to articulate more clearly how our work advances understanding of Himalayan‐Tibetan geodynamics.
P. Sternai   +11 more
wiley   +1 more source

Golden Gate Bridge, as Always? Eliciting Prototypical Places From Autoregressive Large Language Models via Category Production

open access: yesTransactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT Among the various theories of categorization, Eleanor Rosch's prototype theory stands out as both influential and contested. In contrast to the classical theory of concepts, prototype theory posits that humans conceptualize the world using category structures where exemplars vary in their degree of membership.
Zilong Liu   +5 more
wiley   +1 more source

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