Results 161 to 170 of about 31,792 (349)

Higher Onshore Wind Energy Potentials Revealed by Kilometer‐Scale Atmospheric Modeling

Geophysical Research Letters
Reliable and highly resolved information about onshore wind energy potential (WEP) is essential for expanding renewable energy to eventually achieve carbon neutrality.
Shuying Chen, Klaus Goergen, Harrie‐Jan Hendricks Franssen, Christoph Winkler, Stefan Poll, Yoda Houssoukri Zounogo Wahabou, Jochen Linssen, Harry Vereecken, Detlef Stolten, Heidi Heinrichs   +9 more
doaj   +1 more source

The spatial and temporal variability of convective instability in the south of Western Siberia according to ERA5 reanalysis data

, 2021
Konstantin N. Pustovalov, В. П. Горбатенко, P. M. Nagorskii, Olga E. Nechepurenko   +3 more
openalex   +1 more source

Lightning Density and Thunderstorm Initiation in the Lake Victoria Region in East Africa [PDF]

No abstract ...
Goodman, Steve, Virts, Katrina
core   +1 more source

Impacts of household sources on air pollution at village and regional scales in India [PDF]

, 2019
Approximately 3 billion people worldwide cook with solid fuels, such as wood, charcoal, and agricultural residues. These fuels, also used for residential heating, are often combusted in inefficient devices, producing carbonaceous emissions.
Arora, NK, Bates, KH, Blake, DR, Bond, TC, Edwards, RD, Fleming, LT, Goel, V, Kundu, S, Lam, NL, Meinardi, S, Nizkorodov, SA, Ozaltun, B, Pillarisetti, A, Rooney, B, Seinfeld, JH, Sharma, S, Smith, KR, Wang, Y, Weltman, R, Xu, L, Yadav, A, Zhao, R   +21 more
core   +1 more source

Mapping Flood Hazard Across Mainland China Through a Physics‐Based Global Flood Model With Embedded Reservoir Operation Scheme

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT China has complex topography, diverse flood mechanisms, and high population exposure, making it highly vulnerable to flooding, highlighting the need for robust national‐scale hazard assessments to identify flood‐prone regions. However, most existing hazard studies are limited to regional scales or rely on empirical indicator‐based methods that
Jayesh Parmar, Subhankar Karmakar, Cheng Zhang, Yuexiao Liu, Slobodan P. Simonovic   +4 more
wiley   +1 more source

A Global Assessment of Diurnal Discontinuities in ERA5 Tropospheric Zenith Total Delays Using 10 Years of GNSS Data

Geophysical Research Letters
The diurnal cycle of tropospheric Zenith Total Delays (ZTD) is critical for refining tropospheric models and understanding key geophysical and atmospheric processes.
Peng Yuan, Geoffrey Blewitt, Corné Kreemer, Weiping Jiang, Tianjun Liu, Linyu He, Qiang Shan, Kyriakos Balidakis, Harald Schuh, Jens Wickert, Zhiguo Deng   +10 more
doaj   +1 more source

How Can FengYun—3G Satellite Precipitation Radar and Microwave Imager Unveil Multi—Phase Hydrometeors?

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract The observations from Precipitation Measurement Radar (PMR) and Microwave Radiation Imager (MWRI‐RM) onboard FengYun‐3G satellite are first time utilized to derive multi‐phase hydrometeors in clouds. The FY‐3G hydrometeor retrieval algorithm utilizes the Advanced Radiative Transfer Modeling System (ARMS) as its core module. It incorporates PMR‐
Linjun Han, Fuzhong Weng, Xiuqing Hu
wiley   +1 more source

ERA5-Land selected indicators daily aggregates for the Latin America region, 1958

, 2023
Raphael de Freitas Saldanha
openalex   +2 more sources

On the Construction of Moho Reflected Shear Wave Phases From Ambient Noise

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract Shear waves reflected from the Moho (SmS) are frequently identified in ambient noise cross‐correlation functions. Despite their consistent appearance across various arrays and studies, the physical origin and generation mechanisms of these SmS phases remain poorly understood.
Jinyun Xie, Yinhe Luo, Yingjie Yang, Ping Tong, Yanan Xie   +4 more
wiley   +1 more source

Deep Learning Atmospheric Models Reliably Simulate Out‐of‐Sample Land Heat and Cold Wave Frequencies

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract Deep learning (DL)–based general circulation models (GCMs) are emerging as fast simulators, yet their ability to replicate extreme events outside their training range remains unknown. Here, we evaluate two such models—the hybrid Neural General Circulation Model (NGCM) and purely data‐driven Deep Learning Earth System Model (DLESyM)—against a ...
Zilu Meng, Gregory J. Hakim, Wenchang Yang, Gabriel A. Vecchi   +3 more
wiley   +1 more source