Results 271 to 280 of about 268,144 (342)
Field study for the impact of rain-on-snow events on snow cover during snow accumulation period. [PDF]
Yang Z +6 more
europepmc +1 more source
We document the protocol and first results from the first ever coordinated multimodel variable‐resolution experiment set with refinement over the polar regions. We find that the refinement generally yields model‐dependent effects. The most consistent improvement is an amelioration of the upper‐level cold bias in the polar regions that translates into ...
Lise Seland Graff +8 more
wiley +1 more source
A Review of Phytoplankton Sinking Rates: Mechanisms, Methodologies, and Biogeochemical Implications. [PDF]
Zhu J +6 more
europepmc +1 more source
Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis +7 more
wiley +1 more source
Correlation of the density of new snow with 700 mb temperature
Marvin Diamond, William P. Lowry
openalex +1 more source
Disentangling bacterial diversity and biogeography in snow-covered regions. [PDF]
da Silva JB +3 more
europepmc +1 more source
The climatological‐error covariance matrix used in three‐dimensional variational data assimilation (3DVar) provides smooth and isotropic increments spread to long distances. In contrast, three‐dimensional ensemble variational data assimilation (3DEnVar) with a purely ensemble‐error covariance matrix provides inhomogeneous increments and contains the ...
Kaushambi Jyoti +3 more
wiley +1 more source
Investigating the capability of the structure-from-motion photogrammetry on monitoring the ice surface sublimation. [PDF]
Liu J +5 more
europepmc +1 more source
We document for the first time how the assimilation of CS2SMOS observations improves the model representation of Arctic sea‐ice thickness (SIT) and its variability: biases are reduced (top row), while excessive variability in the Beaufort Sea and lack of variability in the ice pack are both corrected (bottom row).
Jiping Xie +3 more
wiley +1 more source

