Results 81 to 90 of about 6,832 (217)
Phase‐Resolved Attribution of Tropical Cyclone Cold Wakes From an Interpretable Data‐Driven Model
Abstract Tropical cyclones (TCs) generate pronounced sea surface cooling through multiscale air‐sea interactions, yet predicting its full evolution and identifying the governing mechanisms remain challenging. Here we develop TC‐Net, an interpretable deep learning framework that integrates a 3D convolutional encoder with a Transformer bottleneck to ...
Yingjie Liu +5 more
wiley +1 more source
Antarctic Snowmelt Detected by Diurnal Variations of AMSR-E Brightness Temperature
Antarctic surface snowmelt is sensitive to the polar climate. The ascending and descending passes of the Advanced Microwave Scanning Radiometer for Earth Observing System Sensor (AMSR-E) observed the Antarctic ice sheet in the afternoon (the warmest ...
Lei Zheng +3 more
doaj +1 more source
Multi-satellite observed responses of precipitation and its extremes to interannual climate variability [PDF]
The consistency of precipitation variability estimated from the multiple satellite-based observing systems is assessed. There is generally good agreement between TRMM TMI, SSM/I, GPCP and AMSRE datasets for the inter-annual variability of precipitation ...
Adler +47 more
core +1 more source
Modeling Ringed and Bearded Seal Future Habitats Indicates Stability, Shifts, and Refugia
Every year, ringed seals and bearded seals rely on specific ice and snow conditions to support events such as feeding or reproduction. With Earth System Models, we simulate habitat over 1850–2100, revealing a relatively stable past habitat contrasting with rapid regional shifts in contemporary simulations and future projections.
Patrick Farnole +5 more
wiley +1 more source
A process‐informed machine learning approach, which included dynamic and static earth observation data and trained on in situ data from the United Kingdom, was capable of reproducing measured in situ values from locations not included in the model training. The model was then employed to derive daily, gridded estimates of soil moisture for Ireland. The
Rowan Fealy +4 more
wiley +1 more source
Neural networks, especially the latest deep learning, have exhibited good ability in estimating surface parameters from satellite remote sensing. However, thorough examinations of neural networks in the estimation of land surface temperature (LST) from ...
Shaofei Wang +6 more
doaj +1 more source
Soil moisture active and passive microwave products: intercomparison and evaluation over a Sahelian site [PDF]
This paper presents a comparison and an evaluation of five soil moisture products based on satellite-based passive and active microwave measurements.
Gruhier, C. +10 more
core +6 more sources
A Modified Hierarchical Vision Transformer for Soil Moisture Retrieval From CYGNSS Data
Abstract This research introduces a new deep learning (DL) framework, multi‐head self‐attention‐aided vision Transformer (MSA‐ViT), for soil moisture (SM) retrieval using Cyclone Global Navigation Satellite System (CYGNSS) data. We first assess the sensitivity of CYGNSS reflectivity (Γ) $({\Gamma })$ to SM, demonstrating a strong physical linkage ...
Qingyun Yan +4 more
wiley +1 more source
This paper presents two space detected Global Positioning System (GPS)signals reflected off sea ice and compares the returned power profiles with independent estimates of ice concentration provided by the Advanced Microwave Scanning Radiometer (AMSR-E ...
Scott Gleason
doaj +1 more source
Potential for Monitoring Snow Cover in Boreal Forests by Combining MODIS Snow Cover and AMSR-E SWE Maps [PDF]
Monitoring of snow cover extent and snow water equivalent (SWE) in boreal forests is important for determining the amount of potential runoff and beginning date of snowmelt.
Foster, James L. +2 more
core +1 more source

