Results 101 to 110 of about 3,413,140 (351)
Gaoyuan qixiang, 2023 In order to enhance the understanding of the environmental field characteristics of the convective regeneration triggered by thunderstorm gust fronts.Based on Beijing sounding observation， automatic stations， S-band Doppler radar and new detection data ...
Na HE +5 more
doaj +1 more source
Digital Technologies: Description, Classification, and Links to Circular Economy
Business Strategy and the Environment, EarlyView.ABSTRACT Digital technologies (DTs) and circular economy (CE) are currently two topics that are expected to contribute significantly to sustainable development, and digitization is generally considered a key enabler of CE. However, most studies only cover the most known Industry 4.0 technologies, and very limited research detailing how DTs can support ...
Laura Piedra‐Muñoz +3 more
wiley +1 more source
A Branched Deep Convolutional Network for Forecasting the Occurrence of Hazes in Paris using Meteorological Maps with Different Characteristic Spatial Scales [PDF]
arXiv, 2023 A deep learning platform has been developed to forecast the occurrence of the low visibility events or hazes. It is trained by using multi-decadal daily regional maps of various meteorological and hydrological variables as input features and surface visibility observations as the targets.
arxiv
Journal of Agrometeorology, 2012 An attempt was made to determine the rate of ETc and crop coefficients during various growth stages of bidi tobacco and pearl millet crops in central Gujarat by water balance approach.
B. KRISHNA RAO +6 more
doaj +1 more source
A mask R-CNN model for reidentifying extratropical cyclones based on quasi-supervised thought
Scientific Reports, 2020 The applications of machine learning/deep learning (ML/DL) methods in meteorology have developed considerably in recent years. Massive amounts of meteorological data are conducive to improving the training effect and model performance of ML/DL, but the ...
Chuhan Lu, Y. Kong, Z. Guan
semanticscholar +1 more source
The MÉRA Data Extraction toolkit
Meteorological Applications, 2023 Historical meteorological datasets are indispensable for forming climatic models and the generation of weather forecasts. Such data are core to the training phase of prediction models and may also be harnessed for hydrological and environmental models ...
Levent Görgü +7 more
doaj +1 more source
Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks [PDF]
arXiv, 2020 We introduce a conditional Generative Adversarial Network (cGAN) approach to generate cloud reflectance fields (CRFs) conditioned on large scale meteorological variables such as sea surface temperature and relative humidity. We show that our trained model can generate realistic CRFs from the corresponding meteorological observations, which represents a
arxiv
Environmental Policy and Governance, EarlyView.ABSTRACT Over the past decade, The People's Republic of China has increased its influence in global climate governance. Despite the strong interest in policy frames related to climate change at the global level, few studies have explored policy frames within China.
Beibei Yang +2 more
wiley +1 more source
A Review of Secchi’s Contribution to Marine Optics and the Foundation of Secchi Disk Science
, 2020 Angelo Secchi was an astrophysicist and a pioneer in the use of spectroscopy in that field and also contributed to meteorology and geodesy. His only contribution to oceanography was on the physics of the “Secchi disk,” a simple device that provides a ...
J. Pitarch
semanticscholar +1 more source
Frontiers in soil ecology—Insights from the World Biodiversity Forum 2022
Journal of Sustainable Agriculture and Environment, Volume 1, Issue 4, Page 245-261, December 2022., 2022 Abstract Global change is affecting soil biodiversity and functioning across all terrestrial ecosystems. Still, much is unknown about how soil biodiversity and function will change in the future in response to simultaneous alterations in climate and land use, as well as other environmental drivers.
Nico Eisenhauer +25 more
wiley +1 more source