Results 211 to 220 of about 538,081 (247)

Maximum spreading of impacting shear-thinning and shear-thickening drops. [PDF]

Proc Natl Acad Sci U S A
Mobaseri A, Kumar S, Cheng X.
europepmc   +1 more source

Evaluation of a stochastically perturbed parametrisations scheme for sea ice in sub‐seasonal forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Overconfident sea ice forecasts pose a challenge in subseasonal prediction. To test a potential way to address this issue and account for sea ice model uncertainty, this article investigates a stochastically perturbed parametrisations (SPP) scheme for sea ice in a prototype CY49R2 configuration of the coupled IFS‐NEMO4‐SI3 system. The results show that
Jonas Spaeth, Steffen Tietsche, Kristian Strommen, Michael Mayer, Andrea Storto, Christopher D. Roberts, Sarah‐Jane Lock, Sarah Keeley   +7 more
wiley   +1 more source

Satellite radiance observation error inflation and spatial thinning: Reconciling idealized theory with near‐operational applications

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Satellite radiance observations are spatially thinned using a grid‐based selection that retains one representative profile per cell. When observation errors are spatially correlated but treated as uncorrelated in the assimilation system, reducing thinning increases their influence, leading to overfitting and reduced analysis fit with other observations.
Joel Bedard, Alain Beaulne, Mark Buehner, Laurence Coursol   +3 more
wiley   +1 more source

Aggressive Glioblastoma Cells Enhance the Migratory Persistence and Velocity of Less Aggressive Cells to Promote Tumor Dissemination. [PDF]

Small
Mohand FA, Yemini S, Gorobetz-Cojocari I, Rubinstein AM, Zemel A, Kravchenko-Balasha N.   +5 more
europepmc   +1 more source

Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan, Massimo Bonavita, Marcin Chrust, Elías Hólm   +3 more
wiley   +1 more source

A nonlocal West Nile virus model with nonlocal free boundary conditions driven by both mosquitoes and birds. [PDF]

J Math Biol
Long X, Lou Y, Ni W, Yi T.
europepmc   +1 more source

Unbiased fully nonlinear data assimilation. Part 1: The stochastic particle flow filter

Quarterly Journal of the Royal Meteorological Society, EarlyView.
While the existing deterministic particle flow filter (PFF) has been applied successfully to nonlinear high‐dimensional systems, it tends to underestimate ensemble spread when using a small number of particles. We introduce the stochastic particle flow filter (SPFF), which incorporates an additional Gaussian noise term into the particle flow dynamics ...
Hao‐Lun Yeh, Peter Jan van Leeuwen
wiley   +1 more source

Molecular surveillance of multiplicity of infection, haplotype frequencies, and prevalence in infectious diseases. [PDF]

PLoS Comput Biol
Tsoungui Obama HCJ, Schneider KA.
europepmc   +1 more source

Sliding Mode Control in Aerospace Applications: A Survey

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Sliding mode control (SMC) enjoys robustness to matched and unmatched (in the case of minimum phase input‐output dynamics) bounded perturbations, and finite time convergence. Second‐order and higher‐order sliding mode control systems (2‐SMC/HOSMC) retain all the advantages of sliding mode control, but in addition can be applied to systems of ...
Yuri Shtessel, Christopher Edwards
wiley   +1 more source

Certified Elimination of Source Candidates Under Capacity, Transit-Time, and Deadline Constraints. [PDF]

Entropy (Basel)
Wang Z, Zhao C, Chan C.
europepmc   +1 more source