Results 41 to 50 of about 1,156 (191)
Snow depth on sea ice is a major constituent of the marine cryosphere. It is a key parameter for the derivation of sea-ice thickness from satellite altimetry. One way to retrieve the basin-scale snow depth on sea ice is by satellite microwave radiometry.
Stefan Kern, Burcu Ozsoy
doaj +1 more source
Microwave Emissivity of Typical Vegetated Land Types Based on AMSR2
To investigate the microwave radiation characteristics of different vegetation types, the “pure pixels” of 12 typical vegetated land types were selected and corresponding emissivity was retrieved under clear sky based on L1C AMSR2 observed brightness temperatures (TBs). According to the retrieved values for the 12 types, the spectral features in summer
Xueying Wang, Zhenzhan Wang
openaire +2 more sources
The near-surface soil freeze–thaw (FT) transition is an important factor affecting land-atmosphere exchanges, hydrology and carbon cycles. Thus, effectively monitoring the temporal–spatial changes of soil FT processes is crucial to climate change and ...
Pingkai Wang +6 more
doaj +1 more source
THIN ICE AREA EXTRACTION IN THE SEASONAL SEA ICE ZONES OF THE NORTHERN HEMISPHERE USING ASMR2 DATA [PDF]
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
Supporting code for AMT submission on 2DVAR retrievals from AMSR2
<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
Retrieving Snow Depth Information From AMSR2 Data for Qinghai–Tibet Plateau
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 +3 more
doaj +1 more source
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 +4 more
doaj +1 more source
Enabling Under Ice Glider Operations: A Backseat Driver Approach
ABSTRACT Polar Oceans are key locations for forcing global ocean circulation, influencing both global climate and biogeochemical cycles. Due to restricted access to these seasonally and perennially ice‐covered regions, these areas are severely undersampled.
Yaomei Wang +12 more
wiley +1 more source
Abstract Spaceborne radiometers have enabled global sea‐ice distribution observations since 1978, yet design choices associated with conventional daily averaged remote sensing products mean they do not resolve higher‐frequency variability that characterizes Antarctic sea ice.
W. de Jager +3 more
wiley +1 more source
Improving Inter‐Satellite Tropical Cyclone Precipitation Consistency by Deep Learning
Abstract The Global Precipitation Measurement mission satellite constellation comprises multiple satellites that produce widely used global tropical cyclone precipitation estimates. The quality of precipitation estimates among these satellites varies significantly due to differences in mission purpose, channel availability, and spatial resolution ...
Yalei You +8 more
wiley +1 more source

