Assessing the impact of model biases on subseasonal forecast skill
Quarterly Journal of the Royal Meteorological Society, EarlyView.Relaxation experiments where the nudging was performed towards bias‐corrected integrations of the same model display significantly improved skill at weeks 3 and 4, particularly in the northern extratropics. This indicates that there is a large potential for improving dynamical subseasonal forecasting skill by improved treatment of model biases.
Frédéric Vitart, Magdalena Balmaseda
wiley +1 more source
Heat and mass transfer of micropolar fluid flow over a stretching sheet by legendre collocation method. [PDF]
Sci RepAbdelgaber KM +3 more
europepmc +1 more source
Medicane characteristics from high‐resolution satellite radar observations
Quarterly Journal of the Royal Meteorological Society, EarlyView.This study uses high‐resolution observations from satellite synthetic aperture radar (SAR) to reveal that medicanes, cyclones with tropical features in the Mediterranean basin, have dynamical characteristics with attributes comparable with those of tropical cyclones of similar intensities, but smaller outer sizes and Rossby numbers.
Arthur Avenas +6 more
wiley +1 more source
Analytical and numerical solutions of MABC fractional advection dispersion models by utilizing the modified physics informed neural networks with impacts of fractional derivative. [PDF]
Sci RepAz-Zo'bi EA +8 more
europepmc +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.Key Findings: An assimilation methodology is established for the Tomorrow.io microwave sounder (TMS) flying on CubeSats in sun‐synchronous and inclined orbits, and in all cloud scenes. The TMS has a significant impact on weather forecast lead times up to 3 days in the Tropics in a research‐quality numerical weather prediction setting, and yields water ...
Jonathan J. Guerrette +3 more
wiley +1 more source
Volume conductor models for magnetospinography. [PDF]
Sci RepO'Neill GC +5 more
europepmc +1 more source
Forecast verification using information and noise
Quarterly Journal of the Royal Meteorological Society, EarlyView.Verification of weather forecasts is usually expressed in terms of total error metrics. This is useful for end users of the forecasts but does not allow evaluation of the intrinsic information content of the forecasts. To overcome this limitation, we propose a new total error decomposition into information and noise error measures, connect it to ...
Massimo Bonavita, Alan J. Geer
wiley +1 more source
Implementing physics-informed neural networks with deep learning for differential equations. [PDF]
Front Artif IntellEmmert-Streib F +3 more
europepmc +1 more source
Moisture inversions in the central Arctic: Product assessment and long‐wave radiative effect
Quarterly Journal of the Royal Meteorological Society, EarlyView.This study evaluates the integrated water vapour and the vertical distribution of water vapour of state‐of‐the‐art reanalyses, weather forecast models, and ground‐ and space‐based remote‐sensing products in the central Arctic. A particular focus lies on the representation of humidity inversions and the quantification of the long‐wave radiative effect ...
Andreas Walbröl +6 more
wiley +1 more source
Physics-informed residual learning with spatiotemporal local support for inverse ECG reconstruction. [PDF]
Sci RepZhu L, Bilchick K, Xie J.
europepmc +1 more source