Results 81 to 90 of about 11,790 (229)

Radio‐Frequency Interference Identification and Correction for Microwave Radiation Imager on FY‐3G Using a Deep Neural Network Model

Atmospheric Science Letters, Volume 27, Issue 4, April 2026.
This study proposes a DNN‐based framework for RFI detection and correction in FY‐3G MWRI observations. The approach outperforms conventional methods, achieving superior accuracy in brightness temperature reconstruction. Enhanced datasets support downstream geophysical applications, establishing a robust quality‐control solution for operational ...
Xiao Wenyan, Fang Xiang, Yang Jun
wiley   +1 more source

Basic data requirements for microwave radiometer systems [PDF]

Microwave radiometry has emerged over the last two decades to become an integral part of the field of environmental remote sensing. Numerous investigations were conducted to evaluate the use of microwave radiometry for atmospheric, oceanographic ...
Lawrence, R. W.
core   +1 more source

NSF NCAR's In Situ Sensing Facility Measurement System During the Sundowner Wind EXperiment (SWEX)

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
This paper details the Sundowner Wind Experiment (SWEX) datasets, which characterize downslope winds to advance understanding of boundary layer processes and improve wildfire research and forecasting. The comprehensive, quality‐controlled data from various atmospheric observational platforms will be invaluable for future multidisciplinary research ...
Jacquelyn C. Witte, William Brown, Leila Carvalho, Terry Hock, Steven Oncley, Matthew Paulus, Christopher Roden, John Sobtzak, Isabel Suhr, Holger Vömel   +9 more
wiley   +1 more source

Microwave radiometry as a tool to calibrate tropospheric water-vapor delay [PDF]

Microwave radiometers were used to measure the emission line due to the water vapor molecules of atmospheric emission. Four separate field tests were completed which compared radiometers to other techniques which measure water vapor.
Claflin, E. S., Resch, G. M.
core   +1 more source

Radio Pulse Power Distribution of Lightning in Jupiter's 2021–2022 Stealth Superstorms

AGU Advances, Volume 7, Issue 2, April 2026.
Abstract Surveys and observations of lightning on Jupiter prior to the NASA Juno mission used night‐side imaging approaches, and a common conclusion was that the optical energy was similar to the highest energy terrestrial lightning flashes, or superbolts.
Michael H. Wong, Ivana Kolmašová, Fabiano A. Oyafuso, Masafumi Imai, Shinji Mizumoto, Steven M. Levin, Ramanakumar G. Sankar, Amy A. Simon, Shawn Brueshaber, Glenn S. Orton, Sushil K. Atreya, Cheng Li, Scott J. Bolton   +12 more
wiley   +1 more source

Characteristics of Precipitation Cloud System in Northeast China Cold Vortex at Changbai Mountain Foothills

应用气象学报
Utilizing the microwave radiometer data and hourly rainfall data in Jilin Cloud Physics Field Scientific Test Base, CMA, the precipitation cloud system in Northeast China cold vortex at the Changbai Mountain foothills is analyzed.
Wang Xiujuan, Qi Yanbin, Jiang Xiaoling, Yu Dongjia, Wang Tianqi   +4 more
doaj   +1 more source

Limits to Global Rotation and Shear From the COBE DMR 4-Year Sky Maps [PDF]

, 1997
Small departures from a homogeneous isotropic spacetime create observable features in the large-scale anisotropy of the cosmic microwave background. We cross-correlate the maps of the cosmic microwave background anisotropy from the Cosmic Background ...
Banday, A. J., Hinshaw, G., Kogut, A.
core   +2 more sources

Prospects for Arctic Summertime Sea Ice Prediction Based on Arctic Seasonal Prediction System (ArcSPS)

Earth and Space Science, Volume 13, Issue 4, April 2026.
Abstract To satisfy the needs of the Arctic sea ice seasonal prediction in summer, we developed the Arctic Seasonal Prediction System (ArcSPS). This system integrates an Arctic sea ice–ocean–atmosphere coupled model with an ensemble‐based Kalman Filter data assimilation model.
Zhongxiang Tian, Xi Liang, Dakui Wang, Zhuoming Ding, Fu Zhao, Ming Li, Na Liu, Jiaying Huang   +7 more
wiley   +1 more source

The Energy Exascale Earth System Model Version 3: 2. Overview of the Coupled System

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 4, April 2026.
Abstract The Energy Exascale Earth System Model version 3 (E3SMv3) represents the latest advancement in Earth system modeling developed by the U.S. Department of Energy (DOE). Building upon previous versions, E3SMv3 introduces significant updates across its coupled components to enhance capability and improve fidelity.
Jean‐Christophe Golaz, Wuyin Lin, Xue Zheng, Shaocheng Xie, Andrew F. Roberts, Luke P. Van Roekel, Peter E. Thornton, Alice M. Barthel, Andrew M. Bradley, Jonathan D. Wolfe, Chengzhu Zhang, Kai Zhang, Shixuan Zhang, Xylar S. Asay‐Davis, Carolyn B. Begeman, Gautam Bisht, Susannah M. Burrows, Chih‐Chieh‐Jack Chen, Yan Feng, Elizabeth C. Hunke, Robert L. Jacob, Ziming Ke, Salil Mahajan, Naser G. Mahfouz, Mathew E. Maltrud, Xiaoying Shi, Qi Tang, Christopher R. Terai, Erin E. Thomas, Hailong Wang, Jinbo Xie, Tian Zhou, Tony Bartoletti, James J. Benedict, Michael A. Brunke, Darin S. Comeau, Jiwen Fan, Ryan M. Forsyth, James G. Foucar, Oksana Guba, Walter M. Hannah, Dalei Hao, Xianglei Huang, Nicole Jeffery, Hyun‐Gyu Kang, Noel D. Keen, Hsiang‐He Lee, Jiwoo Lee, Xiaohong Liu, Azamat Mametjanov, Johannes Mülmenstädt, Mark R. Petersen, Michael J. Prather, Stephen F. Price, Yun Qian, Andrew G. Salinger, Sean P. Santos, Yunpeng Shan, Balwinder Singh, Katherine M. Smith, Xiaoliang Song, Sarat Sreepathi, Adrian K. Turner, Tom Vo, Hui Wan, Mingxuan Wu, Wandi Yu, Charles S. Zender, Xubin Zeng, Guang J. Zhang, Meng Zhang, Tao Zhang, Yuying Zhang, Renata B. McCoy, Mark A. Taylor, L. Ruby Leung, Peter M. Caldwell, David C. Bader   +77 more
wiley   +1 more source

Soil moisture measurements with microwave, radiometers [PDF]

One technique of measuring moisture content that appears promising is that of microwave radiometry. In the microwave region of the spectrum, the emissivity of water is approximately 0.4, whereas that of dry soil is approximately 0.9.
Schmugge, T. J.
core   +1 more source