Third. by Cuicui Liu (1496260)

Finite Element Model of Tire and Snow Runway. by Hanqing Guo (12451176)

“…This study employs the Arbitrary Lagrangian-Eulerian (ALE) method to construct a snow model based on the Modified Drucker Prager Cap (MDPC) Model, analyzing the compaction characteristics of snow under aircraft tires with varying snow thicknesses (5 mm to 50 mm) and vertical loads (250N to 2250N). …”

Yield Function of the MDPC Model [24]. by Hanqing Guo (12451176)

“…This study employs the Arbitrary Lagrangian-Eulerian (ALE) method to construct a snow model based on the Modified Drucker Prager Cap (MDPC) Model, analyzing the compaction characteristics of snow under aircraft tires with varying snow thicknesses (5 mm to 50 mm) and vertical loads (250N to 2250N). …”

Comparison curves of snow. by Hanqing Guo (12451176)

“…This study employs the Arbitrary Lagrangian-Eulerian (ALE) method to construct a snow model based on the Modified Drucker Prager Cap (MDPC) Model, analyzing the compaction characteristics of snow under aircraft tires with varying snow thicknesses (5 mm to 50 mm) and vertical loads (250N to 2250N). …”

Displacement vector diagram of snow. by Hanqing Guo (12451176)

“…This study employs the Arbitrary Lagrangian-Eulerian (ALE) method to construct a snow model based on the Modified Drucker Prager Cap (MDPC) Model, analyzing the compaction characteristics of snow under aircraft tires with varying snow thicknesses (5 mm to 50 mm) and vertical loads (250N to 2250N). …”

MDPC material parameters for snow. by Hanqing Guo (12451176)

“…This study employs the Arbitrary Lagrangian-Eulerian (ALE) method to construct a snow model based on the Modified Drucker Prager Cap (MDPC) Model, analyzing the compaction characteristics of snow under aircraft tires with varying snow thicknesses (5 mm to 50 mm) and vertical loads (250N to 2250N). …”

Relationships between snow leopard and environmental variables. by Pankaj Raina (20778695)

“…<p>Snow leopard sign encounter rates significantly increased with A) increasing wild prey encounter rates, B) increasing livestock encounter rates, C) increasing terrain ruggedness, and D) decreasing human settlement density. …”

Comparison of simulation results. by Hanqing Guo (12451176)

“…This study employs the Arbitrary Lagrangian-Eulerian (ALE) method to construct a snow model based on the Modified Drucker Prager Cap (MDPC) Model, analyzing the compaction characteristics of snow under aircraft tires with varying snow thicknesses (5 mm to 50 mm) and vertical loads (250N to 2250N). …”

Description of the selected nodes. by Hanqing Guo (12451176)

“…This study employs the Arbitrary Lagrangian-Eulerian (ALE) method to construct a snow model based on the Modified Drucker Prager Cap (MDPC) Model, analyzing the compaction characteristics of snow under aircraft tires with varying snow thicknesses (5 mm to 50 mm) and vertical loads (250N to 2250N). …”

Description of the selected nodes. by Hanqing Guo (12451176)

“…This study employs the Arbitrary Lagrangian-Eulerian (ALE) method to construct a snow model based on the Modified Drucker Prager Cap (MDPC) Model, analyzing the compaction characteristics of snow under aircraft tires with varying snow thicknesses (5 mm to 50 mm) and vertical loads (250N to 2250N). …”

Participants enrollment. by Chikondi Maluwa (20660522)

“…<div><p>Hypertension is a widespread and life-threatening condition affecting one-third of adults globally. …”

KAP assessment scores (n = 422). by Chikondi Maluwa (20660522)

“…<div><p>Hypertension is a widespread and life-threatening condition affecting one-third of adults globally. …”

Validation of child labor measures using third-party data, households with all children in school. by Guilherme Lichand (11410286)

Model summary and variance in sediment transport explained by each model. by Andrew Kulmatiski (833256)

Subjects:

Supplementary file 1_Modelling snow algal habitat suitability and ecology under extreme weather events on the Antarctic Peninsula.docx by Andrew Møller Gray (22293865)

“…The model incorporated remotely sensed observations of blooms, physical environmental predictor variables, and snow melt modelling based on different climate scenarios. …”

Data Sheet 1_Spatiotemporal variability of turbulent fluxes in snow-covered mountain terrain.csv by Rainette Engbers (22611641)

“…This study addresses this challenge by examining the spatiotemporal variability of surface–atmosphere energy exchange during different meteorological events in the Swiss Alps using the NWP model CRYOWRF. We analyze sources of errors in representing energy exchange over snow in mountain areas by models. …”

Video 1_Spatiotemporal variability of turbulent fluxes in snow-covered mountain terrain.mp4 by Rainette Engbers (22611641)

“…This study addresses this challenge by examining the spatiotemporal variability of surface–atmosphere energy exchange during different meteorological events in the Swiss Alps using the NWP model CRYOWRF. We analyze sources of errors in representing energy exchange over snow in mountain areas by models. …”

Video 3_Spatiotemporal variability of turbulent fluxes in snow-covered mountain terrain.mp4 by Rainette Engbers (22611641)

“…This study addresses this challenge by examining the spatiotemporal variability of surface–atmosphere energy exchange during different meteorological events in the Swiss Alps using the NWP model CRYOWRF. We analyze sources of errors in representing energy exchange over snow in mountain areas by models. …”

Video 2_Spatiotemporal variability of turbulent fluxes in snow-covered mountain terrain.mp4 by Rainette Engbers (22611641)

“…This study addresses this challenge by examining the spatiotemporal variability of surface–atmosphere energy exchange during different meteorological events in the Swiss Alps using the NWP model CRYOWRF. We analyze sources of errors in representing energy exchange over snow in mountain areas by models. …”

Data Sheet 2_Spatiotemporal variability of turbulent fluxes in snow-covered mountain terrain.pdf by Rainette Engbers (22611641)

“…This study addresses this challenge by examining the spatiotemporal variability of surface–atmosphere energy exchange during different meteorological events in the Swiss Alps using the NWP model CRYOWRF. We analyze sources of errors in representing energy exchange over snow in mountain areas by models. …”