Results 61 to 70 of about 1,788,071 (189)
AbstractTwo new algorithms for hydrometeor classification using polarimetric radar observations are developed based on prototypes derived by applying clustering techniques (Part I of this two-part paper). Each prototype is defined as a probability distribution of the polarimetric variables and ambient temperature corresponding to a hydrometeor type ...
Guang Wen +4 more
openaire +1 more source
Abstract This study develops a novel framework within the Weather Research and Forecast Model for modeling aerosol‐cloud‐lightning interactions. The framework explicitly represent aerosol‐cloud interactions by prescribing aerosols with two configurations: an idealized setup, where both cloud condensation nuclei (CCN) and ice nucleating particles (IN ...
Weishan Wang +6 more
wiley +1 more source
Melting-layer modelling at C-Band [PDF]
Stratiform cloud formations, such as a uniform type of precipitating clouds, are sub dividable into layers with different aggregate states. In this way, it is adaptable to measurements with polarimetric radar.
J. Steinert, M. Chandra
doaj +1 more source
Abstract Lightning initiation depends on the charge separation within the mixed‐phase areas of convective clouds, where graupel, ice, and supercooled water interact. However, the specific mixed‐phase structures that enhance charge separation remain unclear.
M. Kondo, T. Ushio
wiley +1 more source
Assessment and tuning of the behaviour of a microphysical characterisation scheme [PDF]
The correct classification of prevailing bulk hydrometeor type within a radar resolution volume is a challenge task even if a full set of polarimetric radar observables is available.
M. Galletti +5 more
doaj
Abstract Extreme positive cloud‐to‐ground lightning over East Asian midlatitudes exhibits a spring–autumn double maximum hidden by the familiar winter climatology. Using 1,838,538 return strokes with absolute peak currents at least 200 kA during 2006–2024, we resolve its annual cycle by month and latitude.
Nengxing Guo +7 more
wiley +1 more source
Abstract Over complex terrain, hourly precipitation occurrence estimates are often distorted by weak, persistent, and mistimed wet hours that are poorly constrained by independent time‐step classification. Using 1,232 hourly gauge records over the Qinghai‐Tibet Plateau (QTP), we develop a boundary‐aware physical‐constraint framework that learns ...
Chun Zhou +9 more
wiley +1 more source
Convolutional Neural Networks for Hydrometeor Classification using Dual Polarization Doppler Radars
Traditional fuzzy logic hydrometeor classification algorithm is a common way to classify precipitation type from dual polarization doppler radar. We propose a deep learning-based method to estimate hydrometeors efficiently using observed radar variables such as horizontal reflectivity (Z H ), differential reflectivity (Z DR ), correlation coefficient ...
Yuping Lu, Jitendra Kumar 0001
openaire +2 more sources
The Role of Lightning in Atmospheric Chemistry
Abstract Lightning has important effects on atmospheric constituents in primarily the middle and upper troposphere. We summarize the effects of lightning on atmospheric chemistry that have been published since the last major review in 2007. The estimates of NOx production by lightning (LNOx) are based on five methods: theoretical/laboratory estimates ...
Kenneth E. Pickering +2 more
wiley +1 more source
A cross-instrument closure and polarimetric study for improving sub-millimeter polarimeter-radiometer ice cloud microphysics retrievals [PDF]
Ice cloud microphysical properties, such as phase, shape, size and density, introduce significant uncertainties and biases that affect our understanding of how clouds influence weather and climate.
J. Gong +7 more
doaj +1 more source

