Progress of vegetation modelling and future research prospects
Terrestrial vegetation is a crucial component of the Earth system, and its changes not only
represent one of the most distinct aspects of climate change but also exert significant …
represent one of the most distinct aspects of climate change but also exert significant …
A machine learning approach to emulation and biophysical parameter estimation with the Community Land Model, version 5
Land models are essential tools for understanding and predicting terrestrial processes and
climate–carbon feedbacks in the Earth system, but uncertainties in their future projections …
climate–carbon feedbacks in the Earth system, but uncertainties in their future projections …
Anthropogenic influence on recent severe autumn fire weather in the west coast of the United States
Extreme wind‐driven autumn wildfires are hazardous to life and property, due to their rapid
rate of spread. Recent catastrophic autumn wildfires in the western United States co …
rate of spread. Recent catastrophic autumn wildfires in the western United States co …
Linking remotely sensed ecosystem resilience with forest mortality across the continental United States
Episodes of forest mortality have been observed worldwide associated with climate change,
impacting species composition and ecosystem services such as water resources and carbon …
impacting species composition and ecosystem services such as water resources and carbon …
Changes in global vegetation distribution and carbon fluxes in response to global warming: simulated results from IAP-DGVM in CAS-ESM2
Terrestrial ecosystems are an important part of Earth systems, and they are undergoing
remarkable changes in response to global warming. This study investigates the response of …
remarkable changes in response to global warming. This study investigates the response of …
Machine learning accelerates parameter optimization and uncertainty assessment of a land surface model
Y Sawada - Journal of Geophysical Research: Atmospheres, 2020 - Wiley Online Library
The performance of land surface models (LSMs) significantly affects the understanding of
atmospheric and related processes. Many of the LSMs' soil and vegetation parameters were …
atmospheric and related processes. Many of the LSMs' soil and vegetation parameters were …
Spatial patterns of extreme precipitation and their changes under~ 2° C global warming: a large-ensemble study of the western USA
Extreme precipitation events are expected to increase in magnitude in response to global
warming, but the magnitude of the forced response may vary considerably across distances …
warming, but the magnitude of the forced response may vary considerably across distances …
Impact of updating vegetation information on land surface model performance
M Ruiz‐Vásquez, SO, G Arduini… - Journal of …, 2023 - Wiley Online Library
Vegetation plays a fundamental role in modulating the exchange of water, energy, and
carbon fluxes between the land and the atmosphere. These exchanges are modeled by …
carbon fluxes between the land and the atmosphere. These exchanges are modeled by …
Understanding terrestrial water and carbon cycles and their interactions using integrated SMAP soil moisture and OCO‐2 SIF observations and land surface models
Recently, more advanced synchronous global‐scale satellite observations, the Soil Moisture
Active Passive enhanced Level 3 (SMAP L3) soil moisture product and the Orbiting Carbon …
Active Passive enhanced Level 3 (SMAP L3) soil moisture product and the Orbiting Carbon …
Modeling global carbon costs of plant nitrogen and phosphorus acquisition
Abstract Most Earth system models (ESMs) do not explicitly represent the carbon (C) costs of
plant nutrient acquisition, which leads to uncertainty in predictions of the current and future …
plant nutrient acquisition, which leads to uncertainty in predictions of the current and future …