Results 131 to 140 of about 84,678 (251)

When tiny convective spread affects a midlatitude jet: Spread sequence

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We investigate spread evolution by mesoscale convection from tiny initial condition uncertainty during a real event. There is significant variation among the systems in their propensity to interact with the jet stream, whereby variability in one system (due to convective and long‐wave radiative heating tendencies) tightly relates to Rossby‐like ...
Edward Groot, Michael Riemer
wiley   +1 more source

Mesoscale dynamics of cyclone Leslie (2018): A diagnostic analysis of a rare Iberian landfall

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents a successful numerical simulation of cyclone Leslie (2018), using WRF‐ARW v4.5.1. Several mesoscale dynamics were identified indicative of the occurrence of sting jet and cold conveyor belt, which potentiated the record‐breaking winds in central Portugal.
Miguel M. Lima, Luana C. Santos, Albenis Pérez‐Alarcón, Pedro M. M. Soares, Ricardo M. Trigo, Rita M. Cardoso   +5 more
wiley   +1 more source

Exploration of the use of short‐wave infrared radiances in weather forecasts model Part II: Data assimilation and forecast impact assessment

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The standalone non‐local thermodynamic equilibrium (NLTE) bias correction schemes, utilizing a look‐up‐table and a linear regression method developed in Part I and new quality control procedures for short‐wave infrared radiances (SWIR), were tested within a data assimilation framework.
Agnes H. N. Lim, Zhenglong Li, Di Di, James A. Jung   +3 more
wiley   +1 more source

All‐sky assimilation impacts of the Tomorrow.io microwave sounder constellation on global weather forecasts

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, Ryan Honeyager, Stephen Joseph Munchak, Xiaoxu Tian   +3 more
wiley   +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

Assimilation of solar‐induced fluorescence satellite observations in the European Centre for Medium‐Range Weather Forecasts integrated forecast system

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This work demonstrates the potential of the assimilation of satellite solar‐induced fluorescence (SIF) retrievals at eight‐day and 0.1° resolutions in the integrated forecast system (IFS), developed at the European Centre for Medium‐Range Weather Forecasts (ECMWF), at global scale, to provide a more realistic representation of the vegetation temporal ...
Sébastien Garrigues, Patricia de Rosnay, Peter Weston, Christoph Rüdiger, Cédric Bacour, David Fairbairn, Pierre Vanderbecken, Oscar Rojas‐Munoz, Ewan Pinnington, Anna Agusti‐Panareda, Souhail Boussetta, Jean‐Christophe Calvet, Richard Engelen   +12 more
wiley   +1 more source

Configuration Optimization Design of Magnetic Circuit for Large Magnetostrictive Devices Based on TbDyFe Alloy

Rare Metals, EarlyView.
ABSTRACT Reliable operation of high‐performance magnetostrictive devices, composed of the giant magnetostrictive material (GMM), that is, the TbDyFe alloy, critically depends on an optimally tailored bias magnetic field. Sufficient intensity and uniformity are essential to induce the ideal initial strain in the GMM, enabling peak reciprocating output ...
Jinan Yu, Yusheng Wen, Ziwei Feng, Yongbo Guo, Zhihao Zhang, Yu Qiao, Yangkun He, Shizhong An, Dazhuang Kang, Tianli Zhang, Jinghua Liu, Chengbao Jiang, J. M. D. Coey   +12 more
wiley   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

Remote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi C. M. Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean P. H. B. Ometto, Lorena Alves, Cynthia Creze, Stephanie P. George‐Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G. Santos, Sarah R. Worden, Martin Brandt, Philippe Ciais, Stephen C. Hagen, Sassan Saatchi   +21 more
wiley   +1 more source

Tropical Geometry in Singular [PDF]

, 2015
Das Ziel dieser Dissertation ist die Entwicklung und Implementation eines Algorithmus zur Berechnung von tropischen Varietäten über allgemeine bewertete Körper. Die Berechnung von tropischen Varietäten über Körper mit trivialer Bewertung ist ein hinreichend gelöstes Problem.
openaire   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

Remote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law, Yi‐Fei Gu, Shuwen Liu, Guangqin Song, Aland H. Y. Chan, Cham Man Tse, Zhonghua Liu, Martha J. Ledger, Billy C. H. Hau, Sawaid Abbas, Jin Wu   +10 more
wiley   +1 more source