Results 111 to 120 of about 21,402 (255)

Representation of Soil Moisture Feedbacks during Drought in NASA Unified WRF (NU-WRF)

open access: yesJournal of Hydrometeorology, 2013
Abstract Positive soil moisture–precipitation feedbacks can intensify heat and prolong drought under conditions of precipitation deficit. Adequate representation of these processes in regional climate models is, therefore, important for extended weather forecasts, seasonal drought analysis, and downscaled climate change projections. This
Benjamin F. Zaitchik   +3 more
openaire   +1 more source

Diagnosing Post‐Wildfire Flood Governance Gaps Through a Values–Rules–Knowledge Lens: A Case Study From Kineta, Greece

open access: yesJournal of Flood Risk Management, Volume 19, Issue 3, September 2026.
ABSTRACT Post‐wildfire flash floods are an escalating climate‐driven hazard. Advanced technical modelling can now inform impact assessments and evaluate interventions to mitigate these risks, yet such analyses are often not supported by adequate governance frameworks to facilitate the implementation of the proposed solutions.
Angelos Alamanos   +9 more
wiley   +1 more source

Statistik Kesalahan Prediksi Wrf Di Atas Indonesia Menggunakan Metode NMC [PDF]

open access: yes, 2017
Tulisan ini menganalisa hubungan antara statistik kesalahan latar (background error) prediksi Weather and Research Forecasting (WRF) yang digunakan Satellite-based Disaster Early Warning System (Sadewa), dengan topografi dan wilayah hujan dan non-hujan ...
Farid Lasmono
core  

Moisture Recycling over the Iberian Peninsula: The Impact of 3DVAR Data Assimilation

open access: yesAtmosphere, 2019
In this paper, we have estimated the spatiotemporal distribution of moisture recycling over the Iberian Peninsula (IP). The recycling ratio was computed from two simulations over the IP using the Weather Research and Forecasting (WRF) model with a ...
Santos J. González-Rojí   +3 more
doaj   +1 more source

Improved Representation of Surface Emissivity Effects on Longwave Radiation in a Coupled Earth System Model

open access: yesGeophysical Research Letters, Volume 53, Issue 15, 16 August 2026.
Abstract Many Earth System Models (ESMs) approximate surface emissivity as constant over all wavelengths (broadband). This approximation misrepresents the spectral distribution of longwave (LW) flux and introduces error in the LW atmospheric heating rate.
Lili Manzo   +3 more
wiley   +1 more source

Modelado CALPUFF-WRF de la dispersión de PMx, NOx y SO2 emitidos por la Termoeléctrica de Miraflores en el Canal de Panamá

open access: yesRevista de I + D Tecnológico, 2017
En esta primera etapa de la investigación se modeló la dispersión y el transporte de material paticulado, óxidos de nitrógeno y dióxido de azufre emitidos por la Planta Termoeléctrica de Miraflores.
Ricardo De León Ortega, José Fábrega
doaj  

Model Sensitivities of Biomass‐Burning Aerosol Chemical Aging, Sulfate Formation, and Cloud Droplet Activation in the Southeastern Atlantic Using CESM and E3SM

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 15, 16 August 2026.
Abstract Biomass‐burning smoke drives large uncertainty in climate projections of the Earth's radiative balance. This is due to the chemical and physical evolution of smoke and its impact on clouds and radiation. Here we focus on the southeastern Atlantic region and its inflow of African biomass‐burning smoke during August 2017.
Calvin Howes   +10 more
wiley   +1 more source

WRF fire simulation coupled with a fuel moisture model and smoke transport by WRF-Chem

open access: yes, 2012
2012 WRF Users Workshop, Boulder, CO, 25-29 June 2012, paper P51, 5 pages.
Kochanski, Adam K.   +3 more
openaire   +2 more sources

Uncertainty‐Aware Machine Learning for Onset of Deep Convection: Under what Conditions Are Trigger Predictions More Reliable?

open access: yesGeophysical Research Letters, Volume 53, Issue 15, 16 August 2026.
Abstract Machine Learning (ML) models have emerged as a powerful tool for predicting deep convection triggering, yet the atmospheric conditions that systematically challenge these models in detecting deep convection remain poorly understood. To diagnose such ambiguous regimes, we trained a Controlled Abstention Neural Network (CAN) that separates high‐
Ashish Bhattarai, Youtong Zheng
wiley   +1 more source

Intercomparison of simulations using 4 WRF microphysical schemes with dual-polarization data for a German squall line [PDF]

open access: yes, 2007
Simulations of a squall line system which occurred on 12 August 2004 near Munich, Germany are performed using a fine grid version of the Weather Research and Forecasting (WRF) model with five different microphysical schemes.
Pfeifer, Monika   +5 more
core  

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