Results 231 to 240 of about 140,630 (312)

Hot and dry conditions elevate grass pollen and sub-pollen particle concentrations in Melbourne, Australia.

Environ Sci Atmos
Mampage CBA, Emmerson KM, Lampugnani ER, Schofield R, Stone EA.   +4 more
europepmc   +1 more source

Campus microenvironmental factors and their effects on people's outdoor thermal perceptions under different conditions. [PDF]

Sci Rep
Zhang Y, Feng S, Liu J, Mo Q, Yin H, Zhang J.   +5 more
europepmc   +1 more source

A study of a free convective boundary layer using a parcel‐based Lagrangian model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We study the development of a convective boundary layer forced by surface heating and growing into a stably stratified atmosphere above. We compare our results with several recent comprehensive direct numerical simulation (DNS) studies and find broad agreement, and often close quantitative agreement, despite fundamental differences in the numerical ...
Samuel Wallace, Steven Böing, Matthias Frey, David Dritschel   +3 more
wiley   +1 more source

Source-Specific PM_2.5 Exposure and Associated Health Risks During Beijing Winter. [PDF]

Toxics
Liu X, Liu Z, Pei W, Zhang X, Jie X, Yang Z, Liu L, Gao Y, Hu R, Zhang M.   +9 more
europepmc   +1 more source

Improving subseasonal‐to‐seasonal prediction of the ENSO–East Asia teleconnection: A dynamical–statistical model approach

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The ENSO–East Asia teleconnection exhibits strong subseasonal variability, driven by ENSO‐related tropical convection anomalies over the Indian Ocean, Maritime Continent, and central Pacific. GloSea6 fails to accurately predict this teleconnection due to errors in simulating the convection anomalies‐induced teleconnection patterns.
Chang‐Hyun Park, Seok‐Woo Son
wiley   +1 more source

A novel interval prediction method in wind speed based on deep learning and combination prediction. [PDF]

Sci Rep
Chen X, Han T, Cheng P, Da X.
europepmc   +1 more source

The benefits and challenges of using dense Mode‐S aircraft winds at ECMWF

Quarterly Journal of the Royal Meteorological Society, EarlyView.
In November 2022 ECMWF stopped using Mode‐S winds because their very high density in central Europe caused problems for the assimilation system. The data were reintroduced operationally in November 2023 combined with an improved aircraft thinning algorithm.
Bruce Ingleby
wiley   +1 more source

Exploring strongly coupled land/atmosphere data assimilation for numerical weather prediction

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Soil moisture and soil temperature can be analyzed effectively in a numerical weather prediction system by expanding the atmospheric ensemble‐based data assimilation to update the soil states also. The best results were obtained here using a strongly coupled land/atmosphere data assimilation to assimilate the standard atmospheric observations plus ...
Clara Draper, Jeffrey Whitaker, Michael Barlage   +2 more
wiley   +1 more source

Decoding population PM_2.5 exposure in China: interplay of emissions, meteorology, and inequality (2013-2020). [PDF]

Front Public Health
Li S, Wang C, Ma L, Wang X, Du G, Wu C.
europepmc   +1 more source

Information‐based probabilistic verification scores and predictability measures: Seasonal prediction examples

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Schematic of the computation of the logarithmic score and information gain. In panel (a), ensemble predictions (orange circles), observational reference (red circle), and historical observations (blue circles) are shown. An ensemble prediction probability distribution (orange line) and a climatological probability distribution (blue line) are also ...
Yuhei Takaya, Hideitsu Hino, Caio A. S. Coelho   +2 more
wiley   +1 more source