Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

CESM-RESFire simulations for fire aerosol feedbacks CESM-RESFire simulations for fire aerosol feedbacks

Domaine:

climate

Type de record:

dataset
Créateur:
AoxYuhYuf
Éditeur:
Sci
Hôte:avatar
This dataset includes the CESM-RESFire monthly simulations from 2001 to 2010. The Firefb simulations indicate simulations with fire aerosol feedback, and the NoFirefb simulations indicate simulations without considering fire aerosol feedback mechanisms. This dataset includes the land model (CLM) and atmospheric model (CAM) outputs used in the paper "Positive feedback to regional climate enhances African wildfires" by Aoxing Zhang, Yuhang Wang and Yufei Zou, submitted to iScience. This dataset includes the CESM-RESFire monthly simulations from 2001 to 2010. The Firefb simulations indicate simulations with fire aerosol feedback, and the NoFirefb simulations indicate simulations without considering fire aerosol feedback mechanisms. This dataset includes the land model (CLM) and atmospheric model (CAM) outputs used in the paper "Positive feedback to regional climate enhances African wildfires" by Aoxing Zhang, Yuhang Wang and Yufei Zou, submitted to iScience.

Visit

doi.orgwww.scidb.cn

Tags

Earth scienceCESM-RESFireresearch datamodel simulationwildfire

Licenses

Creative Commons Zero v1.0 Universalhttps://creativecommons.org/publicdomain/zero/1.0/legalcode

Similaires

Analysis and visualization scripts used for "The impact of stratospheric aerosol injection on extreme fire weather risk"Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite ObservationsSpatiotemporal Analysis of Landscape Fire Activity and Aerosol Trends in the Context of UrbanizationImpact of Stratospheric Aerosol Geoengineering on Extreme Precipitation and Temperature Indices in West Africa Using GLENS SimulationsUnderstanding the seasonality and climatology of aerosols in Africa through evaluation of CCAM aerosol simulations against AERONET measurementsFusion of MODIS-MISR aerosol inversion for estimation of aerosol absorption

Analysis and visualization scripts used for "The impact of stratospheric aerosol injection on extreme fire weather risk"

Scripts used for analyzing and visualizing data for "The impact of stratospheric aerosol injection o

Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations

International audience We present a supervised machine learning (ML) approach to impr

Spatiotemporal Analysis of Landscape Fire Activity and Aerosol Trends in the Context of Urbanization

Climate change is accelerating the frequency and magnitude of landscape fires, and the smoke they em

Impact of Stratospheric Aerosol Geoengineering on Extreme Precipitation and Temperature Indices in West Africa Using GLENS Simulations

Abstract This study assesses changes in extremes precipitation and temperature in West Africa under

Understanding the seasonality and climatology of aerosols in Africa through evaluation of CCAM aerosol simulations against AERONET measurements

Abstract. The sensitivity of climate models to the characterization of African aerosol particles is

Fusion of MODIS-MISR aerosol inversion for estimation of aerosol absorption

International audience This paper presents an approach for estimating aerosol absorpt