Results 41 to 50 of about 690,215 (327)

Why are severe weather and anomalous climate events often associated with the orthogonal convergence of airflows?

open access: yesWeather and Climate Extremes, 2023
Severe weather often occurs in the areas where different cold-warm and dry-wet air masses converge orthogonally. The orthogonal convergence of two-adjacent air parcels can be observed from planetary-scale to synoptic-scale and meso-scale circulations ...
Weihong Qian   +5 more
doaj  

The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data [PDF]

open access: yesarXiv, 2023
Recently, multiple data-driven models based on machine learning for weather forecasting have emerged. These models are highly competitive in terms of accuracy compared to traditional numerical weather prediction (NWP) systems. In particular, the Pangu-Weather model, which is open source for non-commercial use, has been validated for its forecasting ...
arxiv  

Changes in Hospital Admissions of Patients with COPD in Poland: A 14-Year Nationwide Analysis (2006–2019)

open access: yesCOPD
Poland is a country with a high burden of COPD and its risk factors. This population-wide and geospatial study on COPD in Poland, aimed to analyze changes in hospitalizations of patients with a diagnosis of COPD between 2006 and 2019 as well as to ...
Bogdan Bochenek   +7 more
doaj   +1 more source

Diurnal variation of the duration and environment for heavy rainfall during the warm season in South China

open access: yesAtmospheric Science Letters, 2020
This article aims to examine the diurnal variation of heavy rainfall (HR) for various intensities and investigate duration and environment of HR during the warm season over South China.
Shui‐xin Zhong
doaj   +1 more source

Impacts of orography on large-scale atmospheric circulation [PDF]

open access: yes, 2019
Some of the largest and most persistent circulation errors in global numerical weather prediction and climate models are attributable to the inadequate representation of the impacts of orography on the atmospheric flow.
Bacmeister, J.   +11 more
core   +4 more sources

Knockout of the mitoribosome rescue factors Ict1 or Mtrfr is viable in zebrafish but not mice: compensatory mechanisms underlying each factor's loss

open access: yesFEBS Open Bio, EarlyView.
Mitochondria contain two mitoribosome rescue factors, ICT1 and MTRFR (C12orf65). ICT1 also functions as a mitoribosomal protein in mice and humans, and its loss is lethal. Although Mtrfr knockout mice could not be generated, knockout zebrafish lines for ict1 and mtrfr were established.
Nobukazu Nameki   +11 more
wiley   +1 more source

Light absorption properties and potential sources of particulate brown carbon in the Pearl River Delta region of China [PDF]

open access: yesAtmospheric Chemistry and Physics, 2019
Brown carbon (BrC) is a special type of organic aerosol (OA), capable of absorbing solar radiation from near-ultraviolet (UV) to visible wavelengths, which may lead to an increased aerosol radiative effect in the atmosphere.
Z. Li   +15 more
doaj   +1 more source

Compatible finite element methods for numerical weather prediction [PDF]

open access: yes, 2014
This article takes the form of a tutorial on the use of a particular class of mixed finite element methods, which can be thought of as the finite element extension of the C-grid staggered finite difference method.
Cotter, C. J., McRae, A. T. T.
core  

The role of empirical space-weather models (in a world of physics-based numerical simulations) [PDF]

open access: yes, 2018
Advanced forecasting of space weather requires prediction of near-Earth solar-wind conditions on the basis of remote solar observations. This is typically achieved using numerical magnetohydrodynamic models initiated by photospheric magnetic field ...
Barnard   +5 more
core   +1 more source

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

open access: yesInternational 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   +2 more
wiley   +1 more source

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