Results 261 to 270 of about 32,789 (349)

Evaluation of vertical transport in ERA5 and ERA-Interim reanalysis using high-altitude aircraft measurements in the Asian summer monsoon 2017

Bärbel Vogel, C. M. Volk, Johannes Wintel, Valentin Lauther, Jan Clemens, Jens‐Uwe Grooß, G. Günther, Lars Hoffmann, Johannes C. Laube, Rolf Müller, Felix Ploeger, F. Stroh   +11 more
openalex   +1 more source

Estimating Mediterranean Cyclone Activity via Explainable Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Intense cyclones in the Mediterranean drive most of the region's rainfall and wind‐wave extremes, exerting a significant socio‐economic impact. Currently there are no established analytical tools for estimating Mediterranean cyclone activity from climatological fields.
Guido Ascenso, Luca Proserpio, Leone Cavicchia, Enrico Scoccimarro, Matteo Giuliani, Andrea Castelletti   +5 more
wiley   +1 more source

Effects of Typhoon Fitow residual circulation on the relationship between surface wind field and precipitation in Shanghai. [PDF]

Sci Rep
Tang Y, Zhang J, Yue C, Sun J, Han Z, Gu W, Deng L, Yao Y.   +7 more
europepmc   +1 more source

Machine Learning Based Prediction of Tropical Cyclone Rapid Intensification in the Western North Pacific: Importance of Data Augmentation and Loss Function

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract In this study, we developed a TabNet‐based machine learning model to predict tropical cyclone (TC) rapid intensification (RI) in the Western North Pacific. The most significant challenge in predicting RI is the severe class imbalance between rapid and non‐rapid intensification cases, typically 4.2:1 ratio based on 1977–2021 records.
Sanghyeok An, Jiwon Jeong, Seok‐Woo Son, Hyungjun Kim, Jee‐Hoon Jeong, Jin‐Ho Yoon   +5 more
wiley   +1 more source

Fusion of multi-source precipitation records via coordinate-based generative models. [PDF]

Nat Commun
Sun S, Nai C, Pan B, Li W, Li L, Li X, Foufoula-Georgiou E, Lin Y.   +7 more
europepmc   +1 more source

Use of delayed ERA5-Land soil moisture products for improving landslide early warning [PDF]

Nunziarita Palazzolo, Antonino Cancelliere, Robert Daniel Zofei, David J. Peres   +3 more
openalex   +1 more source

Efficient Kilometer‐Scale Precipitation Downscaling With Conditional Wavelet Diffusion

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Precipitation products such as Integrated Multi‐satellitE Retrievals have coarse resolution (∼10 ${\sim} 10$ km), which limits their application in hydrological modeling and extreme weather analysis. We propose the Wavelet Diffusion Model (WDM), a fast generative framework for high‐quality precipitation downscaling trained on multi‐radar multi‐
Chugang Yi, Minghan Yu, Weikang Qian, Yixin Wen, Haizhao Yang   +4 more
wiley   +1 more source

Hydroclimate shapes photosynthetic sensitivity to cloud cover across global terrestrial ecosystems. [PDF]

Nat Commun
Luo H, Bastos A, Reichstein M, Duveiller G, Kretzschmar J, Quaas J.   +5 more
europepmc   +1 more source

Assessing Argentina's Heatwave Dynamics (1950-2022): A Comprehensive Analysis of Temporal and Spatial variability using ERA5-LAND 

Caterina Cimolai, Enric Aguilar, Oleg Skrynyk   +2 more
openalex   +1 more source

Reassessing Global Atmospheric Flux of Dissolved Inorganic Phosphorus With Machine Learning and Earth System Model Outputs

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Atmospheric deposition of dissolved inorganic phosphorus (DIP) is crucial to nutrient cycling but remains poorly constrained in chemical transport models (CTMs). Large uncertainties in phosphorus emissions and aerosol dissolution processes challenge the reliable estimates of DIP fluxes.
Hongxuan Jiang, Mingxu Liu, Orfeas Karathanasopoulos, Stelios Myriokefalitakis   +3 more
wiley   +1 more source