Results 191 to 200 of about 7,355 (309)

A low-latency deep learning framework for volcanic ash cloud nowcasting using geostationary satellite imagery. [PDF]

Sci Rep
Alves D, Radeta M, Mendonça F, Pereira L, Morgado-Dias F.   +4 more
europepmc   +1 more source

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

Highlighting a science strategy for human exploration of Mars. [PDF]

Proc Natl Acad Sci U S A
Elkins-Tanton L, Newman D, Sheffer A, Krafton K.   +3 more
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

Comparison of Anomaly Detection Methods on Event-Based Vision Sensor Data in a High Noise Environment. [PDF]

Sensors (Basel)
Johnston W, Franz A, Young S, Oliver R, Theis Z, McReynolds B, Dexter M.   +6 more
europepmc   +1 more source

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

Dispersion of LPG from spherical storage tanks: Power-law scaling and comparative analysis of LFL vs. 50% LFL. [PDF]

PLoS One
Sarebanzadeh K, Es'haghi M.
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

Global impact of anthropogenic NH₃ emissions on upper tropospheric aerosol formation. [PDF]

Proc Natl Acad Sci U S A
Xenofontos C, Kohl M, Ruhl S, Almeida J, Caudillo-Plath L, Cruz-Simbron R, Dada L, Duplissy J, Ehrhart S, Finkenzeller H, Höhler K, Kong W, Kunkler F, Lietzke CJ, Mentler B, Morawiec A, Onnela A, Rato P, Rörup B, Russell DM, Schervish M, Scholz W, Sebastian MK, Simon M, Sommer E, Tong Y, Umo NS, Unfer GR, Vettikkat L, Yang B, Yu W, Zgheib I, Zheng Z, Curtius J, Donahue NM, Flagan RC, Gordon H, El Haddad I, Hansel A, Harder H, He XC, Kirkby J, Kulmala M, Lehtipalo K, Möhler O, Petäjä T, Pöhlker ML, Schobesberger S, Stolzenburg D, Wang M, Winkler PM, Worsnop DR, Höpfner M, Volkamer R, Pozzer A, Lelieveld J, Christoudias T.   +56 more
europepmc   +1 more source

Intensity dependence of El Niño and La Niña evolution and mixed‐layer heat‐budget processes

Quarterly Journal of the Royal Meteorological Society, EarlyView.
El Niño–Southern Oscillation (ENSO) intensity modulates the spatial, temporal, and dynamical evolution of events strongly. El Niño SST anomalies shift westward with decreasing intensity, while La Niña anomalies remain spatially fixed. Stronger events initiate earlier and persist longer than weak events.
Parya Adibi, Reza Rezaian, Omid Alizadeh, Tobias Sauter   +3 more
wiley   +1 more source