Results 41 to 50 of about 327,572 (338)

Dynamical Seasonal Prediction of the Asian Summer Monsoon in the China Meteorological Administration Climate Prediction System Version 3

Frontiers in Earth Science, 2022
Based on the 20 years of ensemble hindcast data, we evaluated the performance of the new version climate prediction system developed by the China Meteorological Administration (CMA CPSv3) on the Asian summer monsoon (ASM) seasonal prediction in this ...
Xiaoyun Liang, Xiaoyun Liang, Qiaoping Li, Qiaoping Li, Tongwen Wu, Tongwen Wu   +5 more
doaj   +1 more source

MetaWeather: Few-Shot Weather-Degraded Image Restoration [PDF]

arXiv, 2023
Real-world weather conditions are intricate and often occur concurrently. However, most existing restoration approaches are limited in their applicability to specific weather conditions in training data and struggle to generalize to unseen weather types, including real-world weather conditions.
arxiv  

Predicting the Weather [PDF]

Nature, 1973
Weather Forecasting as a Problem in Physics. By Andrei S. Monin. Translated by Paul Superak. Pp. x + 199. (MIT: Cambridge, Massachusetts and London, December 1972.) $12.50.
openaire   +2 more sources

Systematic diurnal bias of the CMA-MESO model in southern China: Characteristics and correction

Frontiers in Earth Science, 2023
Model error is an important source of numerical weather prediction (NWP) errors. Among model errors, the systematic diurnal bias plays an important role in high-resolution numerical weather prediction models.
Yuxiao Chen, Liwen Wang, Jeremy Cheuk-Hin Leung, Daosheng Xu, Jing Chen, Banglin Zhang, Banglin Zhang, Banglin Zhang   +7 more
doaj   +1 more source

Forecasting tropical cyclone rainfall and flooding hazards and impacts

Tropical Cyclone Research and Review, 2023
This review summarizes the rapporteur report on advances in monitoring and forecasting of rainfall associated with tropical cyclones (TCs) and its impact during 2014–18, as presented to the 10th International Workshop on TCs (IWTC-10) held in Bali ...
Alex Lamers, Sunitha Devi. S, Monica Sharma, Robbie Berg, José Manuel Gálvez, Zifeng Yu, Tarik Kriat, Sareti Cardos, David Grant, Lorenzo A. Moron   +9 more
doaj  

A high-order conservative collocation scheme and its application to global shallow-water equations [PDF]

Geoscientific Model Development, 2015
In this paper, an efficient and conservative collocation method is proposed and used to develop a global shallow-water model. Being a nodal type high-order scheme, the present method solves the pointwise values of dependent variables as the unknowns ...
C. Chen, X. Li, X. Shen, F. Xiao
doaj   +1 more source

Offline Diagnostics of Skin Sea Surface Temperature from a Prognostic Scheme and Its Application in Typhoon Forecasting Using the CMA-TRAMS Model over South China

Atmosphere, 2022
In the Tropical Regional Atmospherical Model System of South China of the China Meteorological Administration (CMA-TRAMS), the skin sea surface temperature (Ts) remains fixed during the forecast time.
Yanxia Zhang, Daosheng Xu, Zitong Chen, Weiguang Meng   +3 more
doaj   +1 more source

Tropical Convection in the Caribbean and Surrounding Region during a Regional, Warming Sea-Surface Temperature Period, 1982–2020

Hydrology, 2021
Warming sea-surface temperatures (SSTs) have implications for the climate-sensitive Caribbean region, including potential impacts on precipitation. SSTs have been shown to influence deep convection and rainfall, thus understanding the impacts of warming ...
Equisha Glenn, Thomas M. Smith, Jose M. Gálvez, Michel Davison, Keneshia Hibbert, Jorge E. González   +5 more
doaj   +1 more source

GenCast: Diffusion-based ensemble forecasting for medium-range weather [PDF]

arXiv, 2023
Weather forecasts are fundamentally uncertain, so predicting the range of probable weather scenarios is crucial for important decisions, from warning the public about hazardous weather, to planning renewable energy use. Here, we introduce GenCast, a probabilistic weather model with greater skill and speed than the top operational medium-range weather ...
arxiv  

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source