Results 51 to 60 of about 26,393 (255)

WRF-HYSPLIT model results.

, 2017
Surface concentration of 131I at 0 UTC, 5 November 2011 modeled with the HYSPLIT model [10] using the WRF meteorological data. The locations of Prague and Budapest are marked. Northward transport was caused by higher level winds.
Ádám Leelőssy (3753496), Róbert Mészáros (2496958), Attila Kovács (2439919), Tibor Kovács (809465), István Lagzi (2508400)   +4 more
core   +1 more source

Precipitation Forecast Contribution Assessment in the Coupled Meteo-Hydrological Models

Atmosphere, 2019
A numerical weather prediction and a rainfall-runoff model employed to evaluate precipitation and flood forecast for the Imjin River (South and North Korea).
Aida Jabbari, Jae-Min So, Deg-Hyo Bae
doaj   +1 more source

Comparison and Numeric Simulation of Two Sea Fog Processes behind High Pattern over Qiongzhou Strait

Gaoyuan qixiang, 2022
Using mesoscale numerical forecasting model WRF and National Centers for Environmental Prediction （NCEP） reanalysis data， two persistent sea fog events on 17-20 February 2018 and 4-6 February 2019 over Qiongzhou strait were simulated.Combined with ...
Wei YANG, Chunhua ZHANG, Xiao FENG, Xun LI, Jianxing LIN   +4 more
doaj   +1 more source

Employing the Moving Least‐Squares Aided Finite Element Method to Study Heat Transfer Phenomenon in Closed‐Cell Polymeric Foam

International Journal for Numerical Methods in Fluids, EarlyView.
Employing the moving least‐squares aided finite element method (MLS‐FEM) allows detailed thermal analysis in complex porous structures, such as polymeric foams, where the conductive heat transfer mechanism governs in the solid matrix and the convective mechanism dominates within the gas‐filled voids.
Mehdi Mostafaiyan, Sven Wiessner, Andreas Leuteritz   +2 more
wiley   +1 more source

Surface and Tropospheric Climatic Trends in the Galápagos Archipelago Based on the Galápagos Archipelago Refined Analysis Dataset

International Journal of Climatology, EarlyView.
The Galápagos Archipelago's near‐surface climate is primarily influenced by interannual El Niño‐Southern Oscillation variability, with no statistical evidence for long‐term trends in air temperature, humidity, or precipitation. While tropospheric warming and increased atmospheric stability are observed, these trends are largely decoupled from near ...
Benjamin Schmidt, Marco Otto, Frederik Bart, Nazli Turini, Byron Delgado Maldonado, Jörg Bendix, Dieter Scherer   +6 more
wiley   +1 more source

Sensitivity of the surface temperature to changes in total solar irradiance calculated with the WRF model

Geofísica Internacional, 2014
En este trabajo se estima la sensibilidad de la temperatura del modelo WRF a cambios en la Radiación Solar Total (RST). Las simulaciones se realizaron para una región centrada en el Atlántico norte, incluyendo partes del Este de Norteamérica, Oeste de ...
Carolina Cipagauta, Blanca Mendoza, Jorge Zavala-Hidalgo   +2 more
doaj   +1 more source

Intercomparison of a Regional Climate Model Ensemble for Selected European Catchments

International Journal of Climatology, EarlyView.
This study analyzes a regional climate model ensemble for water cycle and water resource research with two models. Results show that ICON generally outperforms TSMP1 simulations, mainly with 2‐m temperature and precipitation. These findings serve as a baseline evaluation that shows how key structural differences influence the model skill.
Jane Leonor Roque, Francis Da Silva Lopes, Julian Alberto Giles, Benjamin D. Gutknecht, Bernd Schalge, Yikui Zhang, Marco Ferro, Petra Friederichs, Klaus Goergen, Stefan Poll, Arianna Valmassoi   +10 more
wiley   +1 more source

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

Land Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li, Qizhong Wu, Xueshun Chen, Jiang Yue, Jieying He, Huaqiong Cheng   +5 more
wiley   +1 more source

Entropie im Erdsystem: Wie das Klimasystem arbeitet

Physik in unserer Zeit, EarlyView.
Bei den Energieumwandlungen der Erde ist die Entropie immer mit dabei. Wie ein Kompass bestimmt sie dabei die Richtung, sie setzt Leistungsgrenzen, die Klima formen und erneuerbare Energien begrenzen. Zusammenfassung Entropie setzt Grenzen, wenn Energie umgewandelt und Arbeit geleistet wird – so wie bei Wärmekraftmaschinen und Kraftwerken.
Axel Kleidon
wiley   +1 more source

3D-VAR Data Assimilation of SEVIRI Radiances for the Prediction of Solar Irradiance in Italy Using WRF Solar Mesoscale Model—Preliminary Results

Remote Sensing, 2020
Solar power generation is highly fluctuating due to its dependence on atmospheric conditions. The integration of this variable resource into the energy supply system requires reliable predictions of the expected power production as a basis for management
Sabrina Gentile, Francesco Di Paola, Domenico Cimini, Donatello Gallucci, Edoardo Geraldi, Salvatore Larosa, Saverio T. Nilo, Elisabetta Ricciardelli, Ermann Ripepi, Mariassunta Viggiano, Filomena Romano   +10 more
doaj   +1 more source