Zobrazeno 1 - 10
of 566
pro vyhledávání: '"H. Löwe"'
Publikováno v:
The Cryosphere, Vol 18, Pp 3633-3652 (2024)
The evolution of the surface snow microstructure under the influence of wind during precipitation events is hardly understood but crucial for polar and alpine snowpacks. Available statistical models are solely parameterized from field data where cond
Externí odkaz:
https://doaj.org/article/8890ce7944d246b49b5cb0c3299cde80
Publikováno v:
The Cryosphere, Vol 18, Pp 2831-2846 (2024)
Accurate models for the viscous densification of snow (understood here as a density below 550 kg m−3) and firn (a density above 550 kg m−3) under mechanical stress are of primary importance for various applications, including avalanche prediction
Externí odkaz:
https://doaj.org/article/ca8a7ce41a914fbe9b3f71c93d82feaf
Publikováno v:
The Cryosphere, Vol 18, Pp 1653-1668 (2024)
Despite being one of the most fundamental microstructural parameters of snow, the specific surface area (SSA) dynamics during temperature gradient metamorphism (TGM) have so far been addressed only within empirical modeling. To surpass this limitatio
Externí odkaz:
https://doaj.org/article/17960491c4a54abaa614dd5261e2bde6
Publikováno v:
The Cryosphere, Vol 18, Pp 1579-1596 (2024)
Quantifying the link between microstructure and effective elastic properties of snow, firn, and bubbly ice is essential for many applications in cryospheric sciences. The microstructure of snow and ice can be characterized by different types of fabri
Externí odkaz:
https://doaj.org/article/4238b7a970c64a37abf2287b765d03bb
Autor:
A. R. Macfarlane, H. Löwe, L. Gimenes, D. N. Wagner, R. Dadic, R. Ottersberg, S. Hämmerle, M. Schneebeli
Publikováno v:
The Cryosphere, Vol 17, Pp 5417-5434 (2023)
Snow significantly impacts the seasonal growth of Arctic sea ice due to its thermally insulating properties. Various measurements and parameterizations of thermal properties exist, but an assessment of the entire seasonal evolution of thermal conduct
Externí odkaz:
https://doaj.org/article/f21b527fbafb4b33850517f74faa7ad6
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 7075-7106 (2023)
The poor treatment (or complete omission) of water vapor transport has been identified as a major limitation suffered by currently available snowpack models. As vapor and heat fluxes are closely intertwined, their mathematical representation amounts
Externí odkaz:
https://doaj.org/article/d3c72e63e0ee4b4e96afd399e318d5b3
Publikováno v:
The Cryosphere, Vol 16, Pp 3861-3866 (2022)
Microwave remote sensing of the cryosphere demands a formulation of the scattering coefficient which can be applied over the entire range of relevant densities, from fresh snow to bubbly ice, at all frequencies and for any grain size and snow type. M
Externí odkaz:
https://doaj.org/article/112c5c32b4a349a7b40fbffe334f1680
Publikováno v:
The Cryosphere, Vol 16, Pp 903-923 (2022)
The incorporation of vapor transport has become a key demand for snowpack modeling in which accompanied phase changes give rise to a new, nonlinear coupling in the heat and mass equations. This coupling has an impact on choosing efficient numerical s
Externí odkaz:
https://doaj.org/article/051e48d9331f45d6ac01b7ee6aede0a9
Publikováno v:
The Cryosphere, Vol 15, Pp 5423-5445 (2021)
A coupled treatment of transport processes, phase changes and mechanical settling is the core of any detailed snowpack model. A key concept underlying the majority of these models is the notion of layers as deforming material elements that carry the
Externí odkaz:
https://doaj.org/article/320773996242453287a3471142e03477
Autor:
G. Picard, H. Löwe, F. Domine, L. Arnaud, F. Larue, V. Favier, E. Le Meur, E. Lefebvre, J. Savarino, A. Royer
Publikováno v:
AGU Advances, Vol 3, Iss 4, Pp n/a-n/a (2022)
Abstract Satellite observations of snow‐covered regions in the microwave range have the potential to retrieve essential climate variables such as snow height. This requires a precise understanding of how microwave scattering is linked to snow micro
Externí odkaz:
https://doaj.org/article/853d64dd45d9468d8e209c249b475eeb