Results 1 to 10 of about 1,021 (155)

Experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure [PDF]

open access: yesThe Cryosphere, 2021
Snow stands out from materials at the Earth’s surface owing to its unique optical properties. Snow optical properties are sensitive to the snow microstructure, triggering potent climate feedbacks.
M. Dumont   +10 more
doaj   +6 more sources

Arctic Snow Microstructure Experiment for the development of snow emission modelling [PDF]

open access: yesGeoscientific Instrumentation, Methods and Data Systems, 2016
The Arctic Snow Microstructure Experiment (ASMEx) took place in Sodankylä, Finland in the winters of 2013–2014 and 2014–2015. Radiometric, macro-, and microstructure measurements were made under different experimental conditions of homogenous
W. Maslanka   +9 more
doaj   +7 more sources

Evaluation of the Effective Microstructure Parameter of the Microwave Emission Model of Layered Snowpack for Multiple-Layer Snow

open access: yesRemote Sensing, 2021
Natural snow, one of the most important components of the cryosphere, is fundamentally a layered medium. In forward simulation and retrieval, a single-layer effective microstructure parameter is widely used to represent the emission of multiple-layer ...
Jiancheng Shi, Jinmei Pan, Pan Jinmei
exaly   +3 more sources

Unraveling the optical shape of snow [PDF]

open access: yesNature Communications, 2023
The reflection of sunlight off the snow is a major driver of the Earth’s climate. This reflection is governed by the shape and arrangement of ice crystals at the micrometer scale, called snow microstructure.
Alvaro Robledano   +5 more
doaj   +2 more sources

Microstructure of Snow and Its Link to Trace Elements and Isotopic Composition at Kohnen Station, Dronning Maud Land, Antarctica

open access: yesFrontiers in Earth Science, 2020
Understanding the deposition history and signal formation in ice cores from polar ice sheets is fundamental for the interpretation of paleoclimate reconstruction based on climate proxies. Polar surface snow responds to environmental changes on a seasonal
Dorothea Elisabeth Moser   +2 more
exaly   +3 more sources

Understanding Snow Microstructure for Microwave Remote Sensing [PDF]

open access: yesEos, 2014
Scientists from the snow and soil remote sensing communities met to build on recent developments in objective snow microstructure measurement techniques by improving the understanding of their application in remote sensing at microwave frequencies.
Nick Rutter
exaly   +4 more sources

Evaluation of stereology for snow microstructure measurement and microwave emission modeling: a case study

open access: yesInternational Journal of Digital Earth, 2021
Reliable microstructure measurement of snow is a requirement for microwave radiative transfer model validation. Snow specific surface area (SSA) can be measured using stereological methods, in which snow samples are cast in the field and photographed in ...
Jinmei Pan   +2 more
exaly   +2 more sources

Wind tunnel experiments to quantify the effect of aeolian snow transport on the surface snow microstructure [PDF]

open access: yesThe Cryosphere, 2023
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.
B. Walter, H. Weigel, S. Wahl, H. Löwe
doaj   +4 more sources

Using Ultrasonic Waves to Determine the Microstructure of Snow

open access: yesFrontiers in Earth Science, 2020
Acoustic signals interact with the physical structure of porous media, are particularly sensitive to porosity and tortuosity, and can be used to measure physical properties in a non-destructive manner. Given the fragile nature of freshly fallen snow, non-contact, non-destructive characterization methods made possible via acoustic signals, are desirable.
John Fegyveresi   +2 more
exaly   +3 more sources

Revisiting snow settlement with microstructural knowledge [PDF]

open access: yesThe Cryosphere
Snow settlement under gravity is primarily driven by the slow creep of its ice matrix, which exhibits a viscoplastic behaviour. Knowledge of the viscoplastic properties of snow is thus crucial for understanding and predicting the snowpack seasonal and ...
L. Védrine, P. Hagenmuller
doaj   +5 more sources

Home - About - Disclaimer - Privacy