Results 221 to 230 of about 23,018 (263)

Theatres of Indirectness: Passive Aggression and Failure

Critical Quarterly, EarlyView.
Sara Crangle, Sam Ladkin
wiley   +1 more source

Technetium-99 determination in low-volume samples from the global environment with accelerator mass spectrometry.

Env Sci Adv
Hain K, Adler S, Faestermann T, Fifield LK, Froehlich MB, Gülce F, Koll D, Korschinek G, Martschini M, Quinto F, Pavetich S, Pitters J, Rugel G, Tims S, Welch J, Wiederin A, Yamada M.   +16 more
europepmc   +1 more source

Spatial modeling of extreme snow depth and snow water equivalent

, 2017
openaire   +1 more source

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Inverse modelling of snow depths

Environmental Modelling & Software, 2018
Abstract Operational snow forecasting models contain parameters for which site-specific values are often unknown. As an improvement a Bayesian procedure is suggested that estimates, from past observations, site-specific parameters with confidence intervals. It turned out that simultaneous estimation of all parameters was most accurate. From 2.5 years
Uwe Schlink, Daniel Hertel
openaire   +1 more source

Seasonal Variations of Snow Depth on Mars

Science, 2001
Using topography collected over one martian year from the Mars Orbiter Laser Altimeter on the Mars Global Surveyor (MGS) spacecraft, we have measured temporal changes in the elevation of the martian surface that correlate with the seasonal cycle of carbon dioxide exchange between the surface and atmosphere.
D E, Smith, M T, Zuber, G A, Neumann
openaire   +2 more sources

Snow Depth and Snow Water Equivalent Estimation

2021
Variation in regional and global snowfall significantly affects the ecological and climate systems, which is usually used for policy-making in water resource management and disaster prevention. The amount of snowfall is measured by two different parameters, snow depth and snow water equivalent (SWE). SWE is defined as the product of snow depth and snow
openaire   +1 more source

A prototype AMSR-E global snow area and snow depth algorithm

IEEE Transactions on Geoscience and Remote Sensing, 2003
A methodologically simple approach to estimate snow depth from spaceborne microwave instruments is described. The scattering signal observed in multifrequency passive microwave data is used to detect snow cover. Wet snow, frozen ground, precipitation, and other anomalous scattering signals are screened using established methods.
Richard E. J. Kelly, Alfred T. C. Chang, Leung Tsang, James L. Foster   +3 more
openaire   +1 more source

The Potential for Estimating Snow Depth With QuikScat Data and a Snow Physical Model

IEEE Geoscience and Remote Sensing Letters, 2017
Active microwave remote sensing is a promising tool for global snow water equivalent (SWE) mapping. However, many studies have shown that more information is needed to estimate the SWE accurately. A very important problem is characterizing the snow grain size and quantitatively separating the effects of grain size and snow mass on the backscattering ...
Chuan Xiong, Jiancheng Shi 0001
openaire   +1 more source

Snow cover and snow depth trends in the Balkans 

Climate change impacts the majority of our planet’s ecosystems, and human lives and activities. As precipitation and temperature patterns evolve differently compared to historical trends, significant changes are also observed in snow on both global and local scales.
Ioannis Masloumidis, Stavros Dafis, Kostas Lagouvardos, Giorgos Kyros, Vassiliki Kotroni   +4 more
openaire   +1 more source