Results 51 to 60 of about 30,916,225 (212)

Field Observations During the Third Microwave Water and Energy Balance Experiment (MicroWEX-3): June 16 - December 21, 2004

EDIS, 2019
The goal of MicroWEX-3 was to understand the land-atmosphere interactions during the growing season of cotton, and their effect on observed microwave brightness signatures at 6.7 GHz, matching that of the two satellite-based microwave radiometers (AMSR ...
Tzu-yun Lin, Jasmeet Judge, Kai-Jen Calvin Tien, Joaquin Casanova, Mi-young Jang, Orlando Lanni, Larry Miller, Fei Yan   +7 more
doaj   +3 more sources

Intersensor Calibration of Spaceborne Passive Microwave Radiometers and Algorithm Tuning for Long-Term Sea Ice Trend Analysis Based on AMSR-E Observations

Remote Sensing
Sea ice monitoring is key to analyzing the Earth’s climate system. Long-term sea ice extent (SIE) has been continuously monitored using various spaceborne passive microwave radiometers (PMRs) since November 1978. As the lifetime of a satellite is usually
Mieko Seki, Masahiro Hori, Kazuhiro Naoki, Misako Kachi, Keiji Imaoka   +4 more
doaj   +1 more source

Enhanced Retrieval of Spring Snow Depth Over Pan‐Arctic Sea Ice From AMSR2 Observations for 2013–2023 Using Multi‐Model Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Snow on sea ice modulates the Earth's radiation budget and sea ice mass balance, yet satellite retrievals of Arctic snow depth remain subject to substantial algorithmic uncertainty. We develop a multi‐model machine learning (ML) framework for retrieving spring snow depth over Arctic sea ice from Advanced Microwave Scanning Radiometer 2 (AMSR2).
Yi Zhou, Chentong Zhang, Alek Petty, Xianwei Wang, Ruibo Lei, Wenxuan Liu, Yu Zhang   +6 more
wiley   +1 more source

A COMPARISON BETWEEN TWO ALGORITHMS FOR THE RETRIEVAL OF SOIL MOISTURE USING AMSR-E DATA

Frontiers in Earth Science, 2015
A comparison between two algorithms for estimating soil moisture with microwave satellite data was carried out by using the datasets collected on the four Agricultural Research Service (ARS) watershed sites in the US from 2002 to 2009.
Simonetta ePaloscia, Emanuele eSanti, Simone ePettinato, Iliana eMladenova, Tom eJackson, Michael eCosh   +5 more
doaj   +1 more source

Impacts of atmospheric and oceanic factors on monthly and interannual variations of polynya in the East Siberian Sea and Chukchi Sea

Advances in Climate Change Research, 2021
As a key region of Northeast Passage, the polynya along the Siberian coast in the East Siberian and Chukchi Seas is important to local dynamic and thermodynamic processes, sea ice production and marine ecosystem.
Yu Zhang, Yan-Yan Zhang, Dan-Ya Xu, Chang-Sheng Chen, Xin-Yi Shen, Song Hu, Liang Chang, Xiang-Qian Zhou, Gui-Ping Feng   +8 more
doaj   +1 more source

Increased Frequency, Duration, and Area of Winter Polynyas North of Greenland in a Warming Climate

Geophysical Research Letters, Volume 53, Issue 14, 28 July 2026.
Abstract Polynyas play a crucial role in the polar marine ecosystems and climate system. Four winter polynya events north of Greenland have been observed, but the response of winter polynyas to climate warming remains unknown. This study investigates projected changes in winter polynyas in the Wandel Sea north of Greenland using the AWI‐CM3 climate ...
Qi Shu, Qiang Wang, Haibo Bi, Dmitry V. Sein, Zhenya Song, Fangli Qiao   +5 more
wiley   +1 more source

Invisible Ship Tracks Produce Mean‐State Cloud Microphysics Perturbation in Tropical Trade Cumulus

Geophysical Research Letters, Volume 53, Issue 14, 28 July 2026.
Abstract Aerosol effects in cumulus‐topped boundary layers remain relatively unconstrained and drive uncertainty in climate modeling. We assess the impacts of shipping aerosol on trade cumulus, combining satellite retrievals and large eddy simulations (LES).
Chris J. Wright, Jihu Liu, Yang Cao, Yannian Zhu, Daniel Rosenfeld, Robert Wood, Joel A. Thornton   +6 more
wiley   +1 more source

Cross validations of radio-frequency interference signature in AMSR-E data using two detection methods

Atmospheric and Oceanic Science Letters, 2018
Radio-frequency interference (RFI) detection for low-frequency microwave measurements is an important step before these data are applied to geophysical parameter retrieval or data assimilation.
Juan ZHAO, Xiao-Ding YU
doaj   +1 more source

Surface Energy Partitioning Biases in Major Reanalyses Revealed by Soil Moisture Drying Dynamics

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 13, 16 July 2026.
Abstract Identifying the flux partition regimes between soil moisture (SM) and evaporative fraction (EF, ratio of evapotranspiration to available energy) is important for understanding the hydrometeorological processes as well as the development of Land Surface Models (LSMs).
Qing He, Xin Huang, Hui Lu, Kun Yang, Taikan Oki   +4 more
wiley   +1 more source

Evaluating Bias-Corrected AMSR-E Soil Moisture Using in Situ Observations and Model Estimates

, 2013
Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) soil moisture data products are proven to be useful across various regions around the world.
Sridhar, V., Venkat Lakshmi, Xin Jin, W.T.A. Jaksa, Lakshmi, Venkat, V. Sridhar, Bin Fang, Hubbard, Kenneth G., Fang, Bin, Jin, Xin, Kenneth G. Hubbard, Jaksa, W T. A.   +11 more
core   +1 more source