Results 61 to 70 of about 1,864 (260)

Future Soil Erosion Under Combined CMIP6 Climate Projections and Land Use/Land Cover Change: A RUSLE‐Based Assessment of the Kampe Omi Dam Basin in Nigeria

Land Degradation &Development, EarlyView.
ABSTRACT Soil erosion remains a major environmental challenge in Nigeria, driven by the combined effects of climate variability and land use/land cover (LULC) changes. Understanding future dynamics is essential for effective soil conservation planning.
Titus Adeyemi Alonge, Amos T. Kabo‐Bah, Lily Lisa Yevugah, Abdul‐Karim Iddrisu   +3 more
wiley   +1 more source

Disposition Model for Permafrost Degradation in Mountainous Regions

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT Permafrost is a widespread thermal phenomenon in Arctic and high mountain regions that, in combination with steep terrain, exerts a key control on slope stability. Its degradation in response to climatic warming can modify the likelihood and timing of rockfall, debris flow and related mass movements. Robust information on the current state and
Peter Mani, Simon Allen, Mathias Bavay, Nils Hählen, Markus Stoffel   +4 more
wiley   +1 more source

Convective Quasi-Equilibrium Reconsidered

Journal of Advances in Modeling Earth Systems, 2011
The hypothesis of convective quasi-equilibrium states that moist convection reacts almost instantly to drive the atmospheric temperature profile throughout the troposphere to one of a special subset of possible profiles.
David J Raymond, Michael J Herman
doaj   +1 more source

Evaluating Testability of Permafrost Models Through Physical and Thermal Testing in Complex Mountain Terrain, Yukon, Canada

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT Due to its subsurface nature, permafrost cannot be directly observed with the naked eye or optical remote sensing. Consequently, accurately describing its distribution and thermal state is challenging. This is especially true in vast, remote environments, where obtaining comprehensive field data is demanding or improbable.
Ria Nicholson, Philip P. Bonnaventure, Nick C. Noad, Madeleine C. Garibaldi, Rabecca Thiessen, Will Kochtitzky   +5 more
wiley   +1 more source

Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events

Journal of Advances in Modeling Earth Systems, 2018
The parameterization of moist convection contributes to uncertainty in climate modeling and numerical weather prediction. Machine learning (ML) can be used to learn new parameterizations directly from high‐resolution model output, but it remains poorly ...
Paul A. O'Gorman, John G. Dwyer
doaj   +1 more source

Parameterization of convective clouds, mesoscale convective systems, and convective-generated cirrus [PDF]

, 1992
A level 2.5w deep convection updraft/downdraft parameterization scheme has been refined and tested against 3D simulations of sea-breeze generated convection over S. Florida. Cases for explicit simulation of MCSs in mid-latitudes and tropics have been encouraging.
openaire   +2 more sources

Evaluating anisotropy‐based Monin–Obukhov similarity theory over canopies and complex terrain

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study shows that an anisotropy‐based generalization of Monin–Obukhov surface‐layer scaling (SC23) applies readily across a wide range of atmospheric conditions with variable terrain, canopies, and land‐cover complexity. This work focuses on the scaling of velocity variances for 7 years at the 47 sites in the National Ecological Observation Network
Tyler S. Waterman, Ivana Stiperski, Nathaniel Chaney, Marc Calaf   +3 more
wiley   +1 more source

Sensitivity of a Mediterranean Tropical-Like Cyclone to Physical Parameterizations

Atmosphere, 2018
The accurate prediction of Mediterranean tropical-like cyclones, or medicanes, is an important challenge for numerical weather prediction models due to their significant adverse impact on the environment, life, and property.
Ioannis Pytharoulis, Stergios Kartsios, Ioannis Tegoulias, Haralambos Feidas, Mario Marcello Miglietta, Ioannis Matsangouras, Theodore Karacostas   +6 more
doaj   +1 more source

The benefits of a hybrid‐3DEnVar data assimilation scheme for the convection‐permitting NWP model AROME–Austria

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The climatological‐error covariance matrix used in three‐dimensional variational data assimilation (3DVar) provides smooth and isotropic increments spread to long distances. In contrast, three‐dimensional ensemble variational data assimilation (3DEnVar) with a purely ensemble‐error covariance matrix provides inhomogeneous increments and contains the ...
Kaushambi Jyoti, Philipp Griewank, Florian Meier, Martin Weissmann   +3 more
wiley   +1 more source

Reduction of Pacific Double‐ITCZ Bias by Convection Parameterization in NCAR CESM2.2

Journal of Advances in Modeling Earth Systems
The impact of convective closure on the double‐ITCZ bias in the NCAR CESM2.2 is investigated in this study. The standard CESM2.2 simulates a remarkable double‐ITCZ bias in the central and eastern Pacific, especially in boreal winter and spring ...
Xiaoliang Song, Guang J. Zhang
doaj   +1 more source