Results 81 to 90 of about 561,644 (183)

Statistics of glinting clouds observed by DSCOVR and geostationary satellites

open access: yesFrontiers in Remote Sensing
This study examines how frequently the specular reflection of sunlight—that is, sun glint—reveals the presence of ice crystals that maintain a steady horizontal orientation.
Tamás Várnai   +3 more
doaj   +1 more source

Satellite-based In-situ Monitoring of Space Weather:

open access: yesJournal of Astronomy and Space Sciences, 2018
Many recent satellites have mission periods longer than 10 years; thus, satellite-based local space weather monitoring is becoming more important than ever. This article describes the instruments and data applications of the Korea Space wEather Monitor
Daehyeon Oh   +3 more
doaj   +1 more source

Deep Learning–Based Fusion of Multi‐Source Precipitation in Complex Terrain: A Case Study Over Chongqing, China

open access: yesGeoscience Data Journal, Volume 13, Issue 4, October 2026.
Spatial distribution of hourly cumulative precipitation from station observations (a), GPM IMERG (b), SWAN QPE (c), GModel (d), QModel (e), and GQModel (f) during the 27 July 2023 heavy rainfall event over Chongqing, China. ABSTRACT Accurately capturing the spatial distribution of precipitation over complex terrain remains a major challenge in ...
Rong Mu   +4 more
wiley   +1 more source

Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1

open access: yesAtmosphere, 2019
We present the inversions (back-calculations or optimizations) of dust emissions for a severe winter dust event over East Asia in November 2016. The inversion system based on a fixed-lag ensemble Kalman smoother is newly implemented in the Weather ...
Tie Dai   +7 more
doaj   +1 more source

Quantification of flash flood peaks using computer simulation for potential hill torrents of Pakistan: A modeling study

open access: yesRiver, Volume 5, Issue 3, Page 432-452, August 2026.
Abstract This study investigates rainfall runoff behavior of five major torrential Nullahs' of Dera Ghazi Khan (D. G. Khan) for flash flood events. The integration, and fusion of satellite‐based meteorological, topographical, and pedo‐transferred function's (PTF) derived soil hydraulic datasets at 250 m grid size substantially proves a viable approach ...
Bilal A. Munir   +4 more
wiley   +1 more source

Analysis of Relative Motion of Collocated Geostationary Satellites with Geometric Constraints [PDF]

open access: yes, 2013
This paper investigates the design of the relative motion orbits of geostationary satellites in the presence of geometric constraints. A geometric constraint is defined by a sensor's pointing direction and field of view.
de Bruijn, F.J., Gill, E.
core  

Rapid flooded area detection by applying Robust Satellite Techniques on different geostationary data

open access: yes, 2013
Facing the impact of floods by remote sensing data requires both satellite systems able to frequently observe soil conditions and robust processing algorithms capable to provide reliable information on surface changes.
PACIELLO, Rossana   +8 more
core   +2 more sources

Determination of Earth's Static Gravity Field Using Quantum Gravity Satellites at Very Low Earth Orbit

open access: yesEarth and Space Science, Volume 13, Issue 10, October 2026.
Abstract Very Low Earth Orbit (VLEO) satellite platforms and quantum‐optical sensing technologies may provide new observation approaches for improving Earth's static gravity field models. This study conceptually assesses their potential contribution through a two‐tier closed‐loop simulation framework.
Wenming Chen   +6 more
wiley   +1 more source

Detection and Monitoring of Forest Fires Using Himawari-8 Geostationary Satellite Data in South Korea

open access: yesRemote Sensing, 2019
Geostationary satellite remote sensing systems are a useful tool for forest fire detection and monitoring because of their high temporal resolution over large areas.
Eunna Jang   +5 more
doaj   +1 more source

Developing an Object‐Based Climatology of Tornadic Storms Over the United States Using Machine Learning and Radar Reanalysis

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Tornado climatologies over the contiguous United States have traditionally relied on report‐based data sets, which are subject to biases related to population density, time of day, and evolving observational practices. This study presents an object‐based machine learning framework for constructing a tornado climatology using storm cluster data
Wenjun Cui   +2 more
wiley   +1 more source

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