Results 31 to 40 of about 90,015 (166)

Comparative Analysis of Land‐Sea Weather Conditions Using a UAV Platform Under the Northeast Cold Vortex

Meteorological Applications
This study first applied the Petrel‐II unmanned aerial vehicle in China to analyze Northeast Cold Vortex weather processes, revealing land‐sea convective differences in coastal Liaoning during June 18–19, 2025.
Shi Zheng, Yuting Liu, Boshi Kang, Yushan Guan, Lingchen Zhao   +4 more
doaj   +1 more source

Comparative Assessment of Signal Distribution Characteristics and Applicability before and after the Revision of Rainstorm Warning Standards in Sichuan Province

Gaoyuan qixiang
Scientific and reasonable standards for issuing rainstorm warning signals are critical for preventing rainstorm disasters.Based on hourly precipitation data at ground stations from 45 representative counties in Sichuan Province during April-October in ...
Chunyue LÜ, Wei WU, Meng CHU
doaj   +1 more source

Cause analysis of persistent torrential rain associated with monsoon depression occurred in Guangdong on August 2018

暴雨灾害, 2019
Using the NCEP finally reanalysis data (1°×1°),intensive AWS (auto weather station) data,Doppler radar data in Guangdong,the formation mechanism of a persistent torrential rain event associated with monsoon depression occurred in Guangdong from 27 August
Jingjiu CAI, Zhifang WU, Xiaoqing CHEN, Yu LAN, Ziyou GUO, Chunya GUO   +5 more
doaj   +1 more source

Development and Evaluation of a Real-Time Hourly One-Kilometre Gridded Multisource Fusion Air Temperature Dataset in China Based on Remote Sensing DEM

Remote Sensing, 2022
High-resolution gridded 2 m air temperature datasets are important input data for global and regional climate change studies, agrohydrologic model simulations and numerical weather predictions, etc.
Shuai Han, Chunxiang Shi, Shuai Sun, Junxia Gu, Bin Xu, Zhihong Liao, Yu Zhang, Yanqin Xu   +7 more
doaj   +1 more source

Wheat yield prediction through agrometeorological indices for Hamedan, Iran [PDF]

Desert, 2007
Yield prediction before harvesting is one of the tools in order to planning food production supply in future.Yield prediction was carried out for Wheat(Triticum aestivum) using different meteorological variables with agrometeorological indices in Hamedan
S. Bazgeer, Gh. Kamali, A. Mortazavi
doaj   +1 more source

A data-driven impact-based analysis stemming from first responders reports to predict wind damage to urban trees

Frontiers in Climate
Transitioning from weather forecasts and warnings to impact-based forecast and warning services represents a paradigm shift in service delivery for many national hydrological and meteorological services (NHMS).
Irene Garcia-Marti, Jouke H. S. de Baar, Jan Willem Noteboom, Rob Sluijter, Gerard van der Schrier   +4 more
doaj   +1 more source

Study on Meteorological Disaster Monitoring of Field Fruit Industry by Remote Sensing Data

Advances in Meteorology, 2022
Meteorological disasters have brought a great negative impact on people’s lives. With the rapid development of modern science and technology, the detection technology of meteorological disasters has been continuously improved.
Gao Bei, Shuyu Zhang, Yanlong Guo, Li Yanli, Ning Hu, Jun Liu   +5 more
doaj   +1 more source

Dynamics of carbon budget and meteorological factors of a typical maize ecosystem in Songnen Plain, China

Spanish Journal of Agricultural Research, 2023
Aim of study: Understanding the carbon budget and meteorological factor impacts of farmland ecosystems is helpful for scientific assessment of carbon budget and low-carbon agricultural production practices. Area of study: The Songnen Plain, NE China,
Yonggang GAO, Ming WANG, Lanqi JIANG, Fang ZHAO, Feng GAO, Huiying ZHAO   +5 more
doaj   +1 more source

Applicability Study of a Diffusion Transformer Forecasting Model in the Complex Terrain of Guizhou

Meteorological Applications
Precipitation nowcasting in complex terrains like the Guizhou Plateau is challenged by the blurry forecasts and premature dissipation common in traditional and early deep learning models.
Congying Li, DeXuan Kong, Chen Yuan, Tingting Liao, Yajing Zhi, Biao Wang, Yu Zhou, Gaojian Ge, Shi Pu   +8 more
doaj   +1 more source

Integrating Hydrological–Hydraulic–AI (LSTM) Models for Improved Water Level Forecasting: Red River - Thai Binh Basin

Civil and Environmental Engineering
Flooding remains one of the most severe natural hazards in Vietnam, causing recurrent damage to infrastructure, livelihoods, and socio-economic development.
Doan Quang Tri, Nguyen Van Nhat, Quach Thi Thanh Tuyet   +2 more
doaj   +1 more source