Dynamic vegetation highlights first-order climate feedbacks and their dependence on the climate mean state [PDF]
We investigate how first-order albedo and water vapor radiative feedbacks are triggered by climate-vegetation interactions using mid-Holocene and pre-industrial climate simulations.
P. Braconnot, N. Viovy, O. Marti
doaj +1 more source
Global and regional importance of the direct dust-climate feedback
Feedbacks between desert dust and climate might have amplified past climate changes, yet their role in future climate change is unclear. Here the authors find that dust feedbacks could play a key role in the future climates of Northern Africa, the Sahel,
Jasper F. Kok +3 more
doaj +1 more source
Dynamics of the flood response to slow-fast landscape-climate feedbacks [PDF]
The dynamical evolution of the flood response to landscape-climate feedbacks is evaluated in a joint nonlinear statistical-dynamical approach. For that purpose, a spatiotemporal sensitivity analysis is conducted on hydrological data from 1976–2008 ...
R. A. P. Perdigão, G. Blöschl
doaj +1 more source
Late Pliocene lakes and soils: a global data set for the analysis of climate feedbacks in a warmer world [PDF]
The global distribution of late Pliocene soils and lakes has been reconstructed using a synthesis of geological data. These reconstructions are then used as boundary conditions for the Hadley Centre General Circulation Model (HadCM3) and the BIOME4 ...
H. J. Dowsett +17 more
core +2 more sources
ClimKern v1.2: a new Python package and kernel repository for calculating radiative feedbacks [PDF]
Climate feedbacks are a significant source of uncertainty in future climate projections and need to be quantified accurately and robustly. The radiative kernel method is commonly used to efficiently compute individual climate feedbacks from climate model
T. P. Janoski +10 more
doaj +1 more source
The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6 [PDF]
The primary objective of CFMIP is to inform future assessments of cloud feedbacks through improved understanding of cloud–climate feedback mechanisms and better evaluation of cloud processes and cloud feedbacks in climate models.
M. J. Webb +18 more
doaj +1 more source
A cloud feedback emulator (CFE, version 1.0) for an intermediate complexity model [PDF]
The dominant source of inter-model differences in comprehensive global climate models (GCMs) are cloud radiative effects on Earth's energy budget. Intermediate complexity models, while able to run more efficiently, often lack cloud feedbacks.
D. J. Ullman, A. Schmittner
doaj +1 more source
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Methane Emissions in a Chemistry‐Climate Model: Feedbacks and Climate Response [PDF]
AbstractUnderstanding the past, present, and future evolution of methane remains a grand challenge. Here we have used a hierarchy of models, ranging from simple box models to a chemistry‐climate model (CCM), UM‐UKCA, to assess the contemporary and possible future atmospheric methane burden. We assess two emission data sets for the year 2000 deployed in
I. Heimann +5 more
openaire +4 more sources
Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use
ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova +9 more
wiley +1 more source

