Results 41 to 50 of about 1,271 (194)

AMSR2 all-sky radiance assimilation and its impact on the analysis and forecast of Hurricane Sandy with a limited-area data assimilation system

Tellus: Series A, Dynamic Meteorology and Oceanography, 2016
A method to assimilate all-sky radiances from the Advanced Microwave Scanning Radiometer 2 (AMSR2) was developed within the Weather Research and Forecasting (WRF) model's data assimilation (WRFDA) system.
Chun Yang, Zhiquan Liu, Jamie Bresch, Syed R. H. Rizvi, Xiang-Yu Huang, Jinzhong Min   +5 more
doaj   +1 more source

THIN ICE AREA EXTRACTION IN THE SEASONAL SEA ICE ZONES OF THE NORTHERN HEMISPHERE USING ASMR2 DATA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Sea ice has an important role of reflecting the solar radiation back into space. In addition, the heat flux of ice in thin ice areas is strongly affected by the ice thickness difference. Therefore, ice thickness is one of the most important parameters of
K. Cho, K. Miyao, K. Naoki
doaj   +1 more source

Retrieving Snow Depth Information From AMSR2 Data for Qinghai–Tibet Plateau

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Passive microwave data have been extensively used for snow depth (SD) inversion, but their accuracy has large error in the Qinghai-Tibet Plateau (QTP). Thus, there is still room for improvement in regional SD inversion.
Jianshun Wang, Xiaodong Huang, Yunlong Wang, Tiangang Liang   +3 more
doaj   +1 more source

Coupled observation‐operator approximations in outer‐loop coupling data assimilation

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We present a methodology for coupled variational data assimilation that allows the effect of coupled observation operators whilst maintaining separate minimisations across model components. This allows us to constrain the atmosphere, ocean, and sea‐ice components of our coupled model directly from satellite radiances. We illustrate the system in action
P. A. Browne, P. de Rosnay, A. J. Geer, S. Quesada‐Ruiz, T. Scanlon, E. Villeneuve   +5 more
wiley   +1 more source

Improving heavy precipitation forecasts through phase‐aware nonlinear bias correction of all‐sky infrared radiances using cloud top temperature differences

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study proposes a phase‐aware bias correction framework for all‐sky infrared radiance assimilation. Cloud top temperature differences between observations and model background fields are used to identify cloud‐phase mismatch and cold‐cloud regimes.
Jiwon Hwang, Dong‐Hyun Cha, Myong‐In Lee, SangSeo Park, Yonghan Choi, Ki‐Hong Min   +5 more
wiley   +1 more source

A Preliminary Study toward Consistent Soil Moisture from AMSR2

, 2015
A preliminary study toward consistent soil moisture products from the Advanced Microwave Scanning Radiometer 2 (AMSR2) is presented. Its predecessor, the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E), has providedEarth ...
Parinussa, Robert M., Wanders, Niko, Dorigo, Wouter A., Parinussa, R.M., Holmes, Thomas R. H., Wanders, N., Holmes, T.R.H., de Jeu, R.A.M., Dorigo, W.A., de Jeu, Richard A. M.   +9 more
core   +1 more source

Supporting code for AMT submission on 2DVAR retrievals from AMSR2

, 2019
<p>Supporting code for synthetic and real-world 2DVAR retrievals of wind speed and sea surface temperature from AMSR2 data over ocean. This uses the ARTS model (v2.3) as the forward model and optimal estimation solver, accessed using the Typhon ...
Duncan, David (6652928), Duncan, David
core   +1 more source

Validation of Four Satellite-Derived Soil Moisture Products Using Ground-Based In Situ Observations over Northern China

Remote Sensing, 2022
Accurately obtaining the spatial distribution of soil moisture and its variability are the basis for the land-atmosphere interaction study. We investigated the fidelity of four satellite-based soil moisture products (AMSR2, CCI, SMAP, and SMOS) using in ...
Weicheng Liu, Jixin Wang, Falei Xu, Chenrui Li, Tao Xian   +4 more
doaj   +1 more source

Infrared‐Guided Super‐Resolution of Remotely Sensed Passive Microwave Sea Surface Temperature

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract High‐resolution sea surface temperature (SST) is essential for weather forecasting and climate applications. Passive microwave (MW) SST offers largely cloud‐penetrating coverage but is coarse and spatially smoothed, whereas infrared (IR) SST resolves fine‐scale structures but is frequently cloud‐obscured.
Wenjie Zhou, Xiaofeng Yang
wiley   +1 more source

Resolving the Physical Ambiguity of Passive Infrared Cloud Optical Thickness Retrievals With Microwave Observations

Geophysical Research Letters, Volume 53, Issue 17, 16 September 2026.
Abstract Satellite thermal infrared (TIR) observations, combined with machine‐learning methods, enable nighttime retrievals of cloud optical thickness (COT), but their cloud‐top‐dominated radiances provide ambiguous information for optically thick clouds.
Chao Liu, Xiaoou Sun, Yikun Yang, Quan Wang, Chen Zhou, Bo Li, Xiuqing Hu, Byung‐Ju Sohn, Jonathan H. Jiang, Peng Zhang   +9 more
wiley   +1 more source