Results 121 to 130 of about 5,759 (264)

Evaluating the realism of double moment parameterised particle size distributions in a midlatitude frontal ice cloud with complex microphysics

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Uncertainties in the representation of ice particle size distributions (PSDs) cause inaccuracies in parameterisations of clouds. In this study, observed PSDs from a midlatitude frontal case study are compared with gamma PSDs with the same concentration and ice water content.
Rosie M. Mammatt, Christopher D. Westbrook, Jonathan Crosier, Karina McCusker   +3 more
wiley   +1 more source

Parameter calibration method for car-following models under snowy weather conditions: Integrating an informer time series encoder and physics-informed neural networks. [PDF]

PLoS One
Sun Y, Li W, Yang M, Zhang X.
europepmc   +1 more source

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff, Gert‐Jan Steeneveld   +1 more
wiley   +1 more source

New Snow-Physics to Complement SSiB

Journal of the Meteorological Society of Japan. Ser. II, 1999
David M. Mocko, Greg K. Walker, Y. C. Sud   +2 more
openaire   +4 more sources

Stratospheric and tropospheric seasonality and its implications for observation requirements in numerical weather prediction

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Daily time series of zonal‐mean zonal wind (m·s−1) at 10 hPa and 60° N from 1950 to 2021 from the ERA5 reanalysis. This shows huge variability in some seasons and very little in others. We provide evidence that high‐level observations, radiosonde and satellite, are more important during the extended winter season with its very large variability ...
Bruce Ingleby, Inna Polichtchouk
wiley   +1 more source

Impact attribution of the March 2022 Antarctic heatwave reveals amplification by cloud feedbacks and increased future meltwater. [PDF]

Commun Earth Environ
González-Herrero S, Deb P, Li S, Argüeso D, Engbers R, Matějka M, Wever N, Lehning M.   +7 more
europepmc   +1 more source

An opportunity index to anticipate when subseasonal predictions are useful

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Simultaneously active subseasonal windows of forecast opportunity can be combined into a single opportunity index, which can be used operationally to anticipate enhanced or reduced subseasonal prediction skill. For predictions of temperature anomalies in Switzerland during summer—a region and season with particularly low predictability—skill can nearly
Dominik Büeler, Maria Pyrina, Adel Imamovic, Christoph Spirig, Daniela I. V. Domeisen   +4 more
wiley   +1 more source

Research on multi-sensor fusion architecture for highway area hazard monitoring based on UAVs. [PDF]

PLoS One
Wu H, Li S, Shan H, Lu Y, Hu K, Zheng W, Xie J.   +6 more
europepmc   +1 more source

A multimodel intercomparison study of variable‐resolution global models with grid refinement over the Arctic and Antarctic

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We document the protocol and first results from the first ever coordinated multimodel variable‐resolution experiment set with refinement over the polar regions. We find that the refinement generally yields model‐dependent effects. The most consistent improvement is an amelioration of the upper‐level cold bias in the polar regions that translates into ...
Lise Seland Graff, Dörthe Handorf, Raphael Köhler, Xavier Levine, René R. Wijngaard, Gareth J. Marshall, Alexey Yu. Karpechko, Ryan S. Williams, Priscilla A. Mooney   +8 more
wiley   +1 more source

Snow or rain? hybrid AI deciphers surface precipitation phase from satellite observations. [PDF]

Nat Commun
Yang C, Li H, Zhu R, Wang Y, Zhang F, Gu M, Jiang GM, Zhang R, Tang X.   +8 more
europepmc   +1 more source