Bayesian Optimization for Anything (BOA): An open-source framework for accessible, user-friendly Bayesian optimization
ME Scyphers, JEC Missik, H Kujawa… - … Modelling & Software, 2024 - Elsevier
Abstract We introduce Bayesian Optimization for Anything (BOA), a high-level Bayesian
Optimization (BO) framework and model wrap** toolkit, which presents a novel approach …
Optimization (BO) framework and model wrap** toolkit, which presents a novel approach …
Three decades of wetland methane surface flux modeling by earth system models‐advances, applications, and challenges
Abstract Earth System Models (ESMs) simulate the exchange of mass and energy between
the land surface and the atmosphere, with a key focus on modeling natural greenhouse gas …
the land surface and the atmosphere, with a key focus on modeling natural greenhouse gas …
[HTML][HTML] Research Status and Development Trend of Greenhouse Gas in Wetlands: A Bibliometric Visualization Analysis
G Zhu, Y Wang, A Huang, Y Qin - Ecology and Evolution, 2025 - pmc.ncbi.nlm.nih.gov
With the intensification of global warming, wetland greenhouse gas (GHG) emissions have
attracted worldwide attention. However, the scientific understanding of wetland GHGs is still …
attracted worldwide attention. However, the scientific understanding of wetland GHGs is still …
Rising Water Levels and Vegetation Shifts Drive Substantial Reductions in Methane Emissions and Carbon Dioxide Uptake in a Great Lakes Coastal Freshwater …
Coastal freshwater wetlands are critical ecosystems for both local and global carbon cycles,
sequestering substantial carbon while also emitting methane (CH4) due to anoxic …
sequestering substantial carbon while also emitting methane (CH4) due to anoxic …
ELM‐Wet: Inclusion of a wet‐landunit with sub‐grid representation of eco‐hydrological patches and hydrological forcing improves methane emission estimations in …
Wetlands are the largest emitters of biogenic methane (CH4) and represent the highest
source of uncertainty in global CH4 budgets. Here, we aim to improve the realism of wetland …
source of uncertainty in global CH4 budgets. Here, we aim to improve the realism of wetland …
[HTML][HTML] Salt marsh carbon stock estimation using deep learning with Sentinel-1 SAR of the Yangtze River estuary, China
Salt marshes are pivotal in the global carbon cycle, serving as significant contributors to the
blue carbon sink. Accurately estimating carbon stock in salt marshes relies on precise …
blue carbon sink. Accurately estimating carbon stock in salt marshes relies on precise …
Integrating the NDVI-Random Forest Classification for Vegetation Analysis-Yercaud Hills, India
MS Navin, BGA Sidharth… - 2024 Second International …, 2024 - ieeexplore.ieee.org
The Normalized Difference Vegetation Index is a key study for monitoring environmental
changes precisely in forest-covered regions. In the domain of Geographic Information …
changes precisely in forest-covered regions. In the domain of Geographic Information …
Functional-type modeling approach and data-driven parameterization of greenhouse gas emission in land surface models
TG Yazbeck - 2024 - search.proquest.com
Abstract Earth System Models (ESMs) are common tools for simulating mass and energy
exchange between the surface and the atmosphere, thus constituting an important …
exchange between the surface and the atmosphere, thus constituting an important …