Results 141 to 150 of about 3,413,140 (351)
Abstract Background This study is devoted to determining the chemical composition of essential oils obtained from 13 wild populations of thyme (Thymus vulgaris L.) and 14 populations of winter savory (Satureja montana L.) from the Solsonès region of Catalonia, Spain. The essential oils were obtained by hydrodistillation using a Clevenger apparatus, and
Sira Capdevila+4 more
wiley +1 more source
Prediction of chlorophyll‐a data based on triple‐stage attention recurrent neural network
This paper proposes the triple‐stage attention‐based recurrent neural network model for chlorophyll‐a prediction. The model builds not only on the chlorophyll‐a data itself but build on several related oceanographic observations related to the outbreak of the red tide, including depth, temperature, salinity, oxygen concentration, dissolved oxygen ...
Wenqing Chang+5 more
wiley +1 more source
. Budapest platform for Aerosol Research and Training (BpART) was created for advancing long-term on-line atmospheric measurements and intensive aerosol sample collection campaigns in Budapest.
I. Salma+4 more
semanticscholar +1 more source
Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution [PDF]
Accurate acquisition of surface meteorological conditions at arbitrary locations holds significant importance for weather forecasting and climate simulation. Due to the fact that meteorological states derived from satellite observations are often provided in the form of low-resolution grid fields, the direct application of spatial interpolation to ...
arxiv
This paper explores the cloud information elements of the satellite images from a multi‐view perspective, and performs feature extraction and processing of the meteorological information it contains to learn the impact of cloud cover on photovoltaic (PV) prediction.
Yuxing Dai+5 more
wiley +1 more source
MetaSD: A Unified Framework for Scalable Downscaling of Meteorological Variables in Diverse Situations [PDF]
Addressing complex meteorological processes at a fine spatial resolution requires substantial computational resources. To accelerate meteorological simulations, researchers have utilized neural networks to downscale meteorological variables from low-resolution simulations.
arxiv
Prediction of typhoon tracks using a generative adversarial network with observational and meteorological data [PDF]
Tracks of typhoons are predicted using a generative adversarial network (GAN) with observational data in form of satellite images and meteorological data from a reanalysis database. Time series of images of typhoons which occurred in the Korean Peninsula in the past are used to train the neural network.
arxiv
The formative Rossby-Reichelderfer period in American meteorology, 1926―40
By working together between 1926 and 1940, two young meteorologists, Carl-Gustav A. Rossby and Francis W. Reichelderfer, played catalytic roles in the following facets of American meteorology: 1) starting a model airway weather service, 2) initiating a ...
C. Bates
semanticscholar +1 more source
Abstract The maintenance of soil surface elevation in mangroves supports the persistence of mangroves with sea level rise. The processes contributing to soil surface elevation have rarely been assessed in the humid tropics, despite most mangroves occurring in river deltas and tidal estuaries within this climate zone. Using surface elevation table (SET)
Catherine E. Lovelock+4 more
wiley +1 more source
Descriptor: Five years of meteorological surface data at Oak Ridge Reserve in Tennessee [PDF]
Access to continuous, quality assessed meteorological data is critical for understanding the climatology and atmospheric dynamics of a region. Research facilities like Oak Ridge National Laboratory (ORNL) rely on such data to assess site-specific climatology, model potential emissions, establish safety baselines, and prepare for emergency scenarios. To
arxiv