Recent progress on the sources of continental precipitation as revealed by moisture transport analysis

L Gimeno, M Vázquez, J Eiras-Barca, R Sorí… - Earth-Science …, 2020 - Elsevier
The assessment of sources of moisture is key to the understanding of the hydrological cycle
at different time scales, because it enables the establishment of source-sink relationships …

Enhancing climate resilience in businesses: The role of artificial intelligence

S Singh, MK Goyal - Journal of Cleaner Production, 2023 - Elsevier
The abrupt rise in extreme weather events (floods, heat waves, droughts, etc.) due to
changing climate in the last decades has increased the level of threats to various sectors …

Global atmospheric moisture transport associated with precipitation extremes: Mechanisms and climate change impacts

B Liu, X Tan, TY Gan, X Chen, K Lin… - Wiley Interdisciplinary …, 2020 - Wiley Online Library
The atmospheric moisture transport processes are of great importance to the occurrence
and intensity of precipitation extremes. In this paper, we review the linkage between …

Tracking atmospheric rivers globally: Spatial distributions and temporal evolution of life cycle characteristics

B Guan, DE Waliser - Journal of Geophysical Research …, 2019 - Wiley Online Library
Abstract The Tracking Atmospheric Rivers Globally as Elongated Targets (tARget) algorithm
is further developed to Version 3, adding the capability to track atmospheric river (AR) life …

A regionally refined quarter-degree global atmospheric rivers database based on ERA5

B Guan, DE Waliser - Scientific Data, 2024 - nature.com
Atmospheric rivers (ARs) are narrow, elongated, synoptic jets of water vapor that play
important roles in the global water cycle. The continually develo** Tracking Atmospheric …

East Asia atmospheric river catalog: Annual cycle, transition mechanism, and precipitation

M Pan, M Lu - Geophysical Research Letters, 2020 - Wiley Online Library
Abstract An all‐season East Asia Atmospheric River (EA AR) catalog is constructed based
on PanLu2. 0. The annual cycle of EA AR exhibits eight stages, synchronizing with the …

Landslide susceptibility modeling by interpretable neural network

K Youssef, K Shao, S Moon, LS Bouchard - Communications Earth & …, 2023 - nature.com
Landslides are notoriously difficult to predict because numerous spatially and temporally
varying factors contribute to slope stability. Artificial neural networks (ANN) have been …

Role of large-scale climate oscillations in precipitation extremes associated with atmospheric rivers: nonstationary framework

S Singh, MK Goyal, S Jha - Hydrological Sciences Journal, 2023 - Taylor & Francis
Atmospheric rivers (ARs) are filamentary regions of high-water vapour flux in the lower
troposphere that contribute significantly to poleward moisture movement in mid-latitude …

An intercomparison between reanalysis and dropsonde observations of the total water vapor transport in individual atmospheric rivers

B Guan, DE Waliser, FM Ralph - Journal of Hydrometeorology, 2018 - journals.ametsoc.org
A recent study presented nearly two decades of airborne atmospheric river (AR)
observations and concluded that, on average, an individual AR transports~ 5× 10 8 kg s− 1 …

A novel atmospheric river identification algorithm

M Pan, M Lu - Water Resources Research, 2019 - Wiley Online Library
In recent years, climatology, variability, hydrological impact, and climatic drivers of
atmospheric rivers (ARs) are widely explored based on various AR identification algorithms …