Results 41 to 50 of about 20,211 (224)

Airborne lidar observations supporting the ADM-Aeolus mission for global wind profiling [PDF]

open access: yes, 2012
The Atmospheric Dynamics Mission ADM-Aeolus of ESA will be the first lidar mission to sense the global wind field from space. The instrument is based on a direct-detection Doppler lidar operating at 354.9 nm with two spectrometers for aerosol/cloud ...
Lemmerz, Christian   +4 more
core  

Strategies for Assessing Post‐Wildfire Geomorphic Resilience in Semiarid Rivers

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT We review and summarize diverse components of a catchment that can be monitored after wildfire to assess the geomorphic resilience of the river corridor in semiarid regions. We distinguish upland portions of river catchments from river corridors.
Ellen Wohl   +8 more
wiley   +1 more source

Characteristics of unique cap, Tsurushi and Hata clouds around Mount Fuji

open access: yesWeather, EarlyView.
Distinct clouds, such as cap clouds, Tsurushi (a type of lenticular cloud) and Hata (banner cloud‐like clouds), frequently form around Mount Fuji, an isolated peak with a slightly elliptical conical shape. Here, we examine their characteristics and occurrence patterns.
Hiroyuki Kusaka   +9 more
wiley   +1 more source

Analysis of the Causes and Wind Field Structure of a Dry Microburst in a Weak Weather Background

open access: yesAtmosphere, 2023
Dry microbursts in weak weather backgrounds, due to their small scale and general lack of precipitation, are often difficult to observe using weather radar. On the night of 26 April 2023, a dry microburst occurred at the Yinchuan Airport.
Liang Feng   +4 more
doaj   +1 more source

Virtual Doppler Lidar Instrument

open access: yesJournal of Atmospheric and Oceanic Technology, 2001
Abstract Doppler lidars measure the range-resolved line-of-sight wind component by extracting the Doppler shift of radiation backscattered from atmospheric aerosols and molecules. A virtual instrument was developed to simulate wind measurements by flying virtually over the atmosphere.
Leike, I.   +6 more
openaire   +2 more sources

Modelling the Four‐Dimensional Power Line Sag Dynamics by Point Signature in Time‐Series Synthetic‐Aperture Radar Images

open access: yesHigh Voltage, EarlyView.
ABSTRACT Power lines in synthetic‐aperture radar (SAR) images are reflected as point signatures, which fluctuate annually in both the azimuth and range directions. A novel framework is proposed in this paper to evaluate the four‐dimensional dynamic status of power line sag using those point signatures in time‐series SAR images.
Sijie Ma   +4 more
wiley   +1 more source

Observations of Wind Profile of Marine Atmosphere Boundary Layer by Shipborne Coherent Doppler Lidar

open access: yesEPJ Web of Conferences, 2016
Pulsed Coherent Doppler Lidar (CDL) system is so good as to prove the feasibility of the marine atmosphere boundary layer detection. A ship-mounted Coherent Doppler lidar was used to measure the wind profile and vertical velocity in the boundary layer ...
Wu Songhua   +6 more
doaj   +1 more source

Study on the Impact of the Doppler Shift for CO2 Lidar Remote Sensing

open access: yesRemote Sensing, 2022
Atmospheric carbon dioxide (CO2) is recognized as the most important component of the greenhouse gases, the concentration of which has increased rapidly since the pre-industrial era due to anthropogenic emissions of greenhouse gases (GHG).
Xifeng Cao   +6 more
doaj   +1 more source

Correction of Doppler-broadened Rayleigh backscattering effects in H2O dial measurements [PDF]

open access: yes, 1986
A general method of solutions for treating effects of Doppler-broadened Rayleigh backscattering in H2O Differential Absorption Lidar (DIAL) measurements are described and discussed. Errors in vertical DIAL measuremtns caused by this laser line broadening
Ansmann, A., Bosenberg, J.
core   +1 more source

Machine Learning Based Prediction of Tropical Cyclone Rapid Intensification in the Western North Pacific: Importance of Data Augmentation and Loss Function

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract In this study, we developed a TabNet‐based machine learning model to predict tropical cyclone (TC) rapid intensification (RI) in the Western North Pacific. The most significant challenge in predicting RI is the severe class imbalance between rapid and non‐rapid intensification cases, typically 4.2:1 ratio based on 1977–2021 records.
Sanghyeok An   +5 more
wiley   +1 more source

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