Small-scale temporal and spatial variability in the erosion threshold and properties of cohesive intertidal sediments

2006 ◽  
Vol 26 (3) ◽  
pp. 351-362 ◽  
Author(s):  
T.J. Tolhurst ◽  
E.C. Defew ◽  
J.F.C. de Brouwer ◽  
K. Wolfstein ◽  
L.J. Stal ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Small Scale ◽  
Intertidal Sediments ◽  
Erosion Threshold ◽  
Temporal And Spatial Variability ◽  
Temporal And Spatial

Small-scale temporal and spatial variability in the abundance of plastic pellets on sandy beaches: Methodological considerations for estimating the input of microplastics

2016 ◽  
Vol 102 (1) ◽  
pp. 114-121 ◽  
Author(s):  
Fabiana Tavares Moreira ◽  
Alessandro Lívio Prantoni ◽  
Bruno Martini ◽  
Michelle Alves de Abreu ◽  
Sérgio Biato Stoiev ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Sandy Beaches ◽  
Small Scale ◽  
Temporal And Spatial Variability ◽  
Temporal And Spatial ◽  
Methodological Considerations ◽  
Plastic Pellets

scholarly journals “WEBSNOW”: ESTIMATION OF SNOW COVER FROM FREELY ACCESSIBLE WEBCAM IMAGES IN THE ALPS

2020 ◽  
Vol V-2-2020 ◽  
pp. 695-701
Author(s):  
S. Flöry ◽  
C. Ressl ◽  
M. Hollaus ◽  
G. Pürcher ◽  
L. Piermattei ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Snow Cover ◽  
Temporal Resolution ◽  
Small Scale ◽  
Mountain Areas ◽  
Processing Times ◽  
Temporal And Spatial Variability ◽  
The Alps ◽  
Temporal And Spatial ◽  
Aerial Platforms

Abstract. The alpine snow cover exhibits a high spatial variability in the horizontal and vertical directions even on a very small scale, mainly caused by the high variability of alpine terrain. To quantify the annual and inter-annual snow dynamics continuously reliable measurements of the temporal and spatial variability are required. While remote sensing from satellite and aerial platforms have been successfully used to estimate snow cover at larger scales, especially in mountain areas spatial and temporal resolution are too low to capture local changes. In the alpine region, webcam images are freely available for touristic purposes capturing images at high frequency intervals. Within the WebSnow project the feasibility of using such images for the detection of snow was investigated. With the developed workflow, processing times could be reduced and satisfactory results obtained. Our results show, that webcam networks have the potential for monitoring snow at high spatial and temporal resolution.

scholarly journals Global distributions of overlapping gravity waves in HIRDLS data

2015 ◽  
Vol 15 (4) ◽  
pp. 4333-4382 ◽  
Author(s):  
C. J. Wright ◽  
S. M. Osprey ◽  
J. C. Gille
Keyword(s):  
Spatial Variability ◽  
Gravity Wave ◽  
Gravity Waves ◽  
Spectral Characteristics ◽  
Small Scale ◽  
Spectral Form ◽  
Temporal And Spatial Variability ◽  
Abstract Data ◽  
Temporal And Spatial ◽  
Wave Phenomena

Abstract. Data from the HIRDLS instrument on NASA's Aura satellite are used to investigate the relative numerical variability of observed gravity wave packets as a function of both horizontal and vertical wavenumber, with support from the SABER instrument on TIMED. We see that these distributions are dominated by small vertical and large horizontal wavenumbers, and have a similar spectral form at all heights and latitudes, albeit with important differences. By dividing our observed wavenumber distribution into particular subspecies of wave, we demonstrate that these distributions exhibit significant temporal and spatial variability, and that small-scale variability associated with particular geophysical phenomena such as the monsoon arises due to variations in specific parts of the observed spectrum. We further show that the well-known Andes/Antarctic Pensinsula gravity wave hotspot during southern winter, home to some of the largest wave fluxes on the planet, is made up of relatively few waves, but with a significantly increased flux per wave due to their spectral characteristics. These results have implications for the modelling of gravity wave phenomena.

A Revisit of Temporal and Spatial Variability and Resolution of Rainfall Measurements Relevant for Urban Hydrology

2020 ◽  
Author(s):  
Hao Luo ◽  
Irene Crisologo ◽  
Marcelo Garcia ◽  
Scott Collis ◽  
Daniel Horton ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Urban Hydrology ◽  
Temporal And Spatial Variability ◽  
Temporal And Spatial

Temporal and spatial variability of the global water balance

2013 ◽  
Vol 120 (1-2) ◽  
pp. 375-387 ◽  
Author(s):  
Gregory J. McCabe ◽  
David M. Wolock
Keyword(s):  
Water Balance ◽  
Spatial Variability ◽  
Temporal And Spatial Variability ◽  
Temporal And Spatial ◽  
Global Water
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