Results 151 to 160 of about 3,413,140 (351)
Multiple global change factors and the long‐term dynamics of harmful algal blooms in the North Sea
Abstract The North Sea has been identified as an area where the impacts of climate change and de‐eutrophication efforts are already apparent, specifically on phytoplankton communities, with shifts in biogeography, altered species composition, and increased biomass of harmful algal bloom (HAB) species.
Karen M. Brandenburg+7 more
wiley +1 more source
Offline Meteorology-Pollution Coupling Global Air Pollution Forecasting Model with Bilinear Pooling [PDF]
Air pollution has become a major threat to human health, making accurate forecasting crucial for pollution control. Traditional physics-based models forecast global air pollution by coupling meteorology and pollution processes, using either online or offline methods depending on whether fully integrated with meteorological models and run simultaneously.
arxiv
Abstract As climate change impacts intensify, water‐related problems and the vulnerability of small‐scale agricultural producers are expected to increase, suggesting the need for an inclusive and integrated management of water resources. This requires understanding the system and mapping the stakeholders, among other things. This study was conducted in
Wolde Mekuria+6 more
wiley +1 more source
Training and Research Under the Typhoon Committee
: The ESCAP/WMO Typhoon Committee Training and Research Coordination Group (TRCG), formerly known as the Typhoon Research Coordination Group, has served Members of the Typhoon Committee for more than 20 years. As evident from the change of its name, TRCG
Tsz-Cheung Lee, Edwin S.T. Lai
doaj
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models [PDF]
This paper demonstrates that pre-trained language models (PLMs) are strong foundation models for on-device meteorological variables modeling. We present LM-Weather, a generic approach to taming PLMs, that have learned massive sequential knowledge from the universe of natural language databases, to acquire an immediate capability to obtain highly ...
arxiv
Estimation of soil moisture in paddy field using Artificial Neural Networks [PDF]
In paddy field, monitoring soil moisture is required for irrigation scheduling and water resource allocation, management and planning. The current study proposes an Artificial Neural Networks (ANN) model to estimate soil moisture in paddy field with limited meteorological data.
arxiv
Abstract Due to its stochastic nature, wind energy imposes unprecedented challenges on the power grid, and a properly scheduled reserve is essential to accommodate wind power's intermittency and volatility. Many power reserve scheduling studies have considered the uncertainties of the renewable energy integration but few address how different wind ...
Yingying Zheng+6 more
wiley +1 more source
Spray drift deposit measured in almond orchard significantly decayed downwind until termination at 531.1 m for artificial foliage sampler and 232.8 m for horizontal string samplers based on logarithmic curve fitting. Drift variability among spray trials was significantly affected by variation in weather condition (wind direction, wind speed, and ...
Peter A. Larbi+3 more
wiley +1 more source
Intraseasonal synchronization of extreme rainfall between North India and the Sahel
The Indian Summer Monsoon (ISM) and the West African Monsoon (WAM) are dominant drivers of boreal summer precipitation variability in tropical and subtropical regions. We employ a climate network approach to uncover synchronously occurring extreme rainfall patterns across the two monsoon systems.
Felix M. Strnad+3 more
wiley +1 more source