Quantifying and reducing uncertainty in global carbon cycle predictions: Lessons and perspectives from 15 years of data assimilation studies with the ORCHIDEE …
Predicting terrestrial carbon, C, budgets and carbon‐climate feedbacks strongly relies on
our ability to accurately model interactions between vegetation, C and water cycles, and the …
our ability to accurately model interactions between vegetation, C and water cycles, and the …
Terrestrial carbon cycle model-data fusion: Progress and challenges
The terrestrial carbon cycle is an important component of global biogeochemical cycling and
is closely related to human well-being and sustainable development. However, large …
is closely related to human well-being and sustainable development. However, large …
[HTML][HTML] Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite …
Pedotransfer functions are used to relate gridded databases of soil texture information to the
soil hydraulic and thermal parameters of land surface models. The parameters within these …
soil hydraulic and thermal parameters of land surface models. The parameters within these …
Consistent assimilation of multiple data streams in a carbon cycle data assimilation system
N MacBean, P Peylin, F Chevallier… - Geoscientific Model …, 2016 - gmd.copernicus.org
Data assimilation methods provide a rigorous statistical framework for constraining
parametric uncertainty in land surface models (LSMs), which in turn helps to improve their …
parametric uncertainty in land surface models (LSMs), which in turn helps to improve their …
Impact of correlated observation errors on the conditioning of variational data assimilation problems
O Goux, S Gürol, AT Weaver… - … Linear Algebra with …, 2024 - Wiley Online Library
An important class of nonlinear weighted least‐squares problems arises from the
assimilation of observations in atmospheric and ocean models. In variational data …
assimilation of observations in atmospheric and ocean models. In variational data …
Land surface model parameter optimisation using in situ flux data: Comparison of gradient-based versus random search algorithms (a case study using ORCHIDEE v1 …
Land surface models (LSMs), which form the land component of earth system models, rely
on numerous processes for describing carbon, water and energy budgets, often associated …
on numerous processes for describing carbon, water and energy budgets, often associated …
Parameter estimation for a morphochemical reaction-diffusion model of electrochemical pattern formation
I Sgura, AS Lawless, B Bozzini - Inverse Problems in Science and …, 2019 - Taylor & Francis
The process of electrodeposition can be described in terms of a reaction-diffusion partial
differential equation (PDE) system that models the dynamics of the morphology profile and …
differential equation (PDE) system that models the dynamics of the morphology profile and …
The conditioning of least‐squares problems in variational data assimilation
In variational data assimilation a least‐squares objective function is minimised to obtain the
most likely state of a dynamical system. This objective function combines observation and …
most likely state of a dynamical system. This objective function combines observation and …
Evaluation and uncertainty analysis of regional-scale CLM4. 5 net carbon flux estimates
H Post, HJ Hendricks Franssen, X Han, R Baatz… - …, 2018 - bg.copernicus.org
Modeling net ecosystem exchange (NEE) at the regional scale with land surface models
(LSMs) is relevant for the estimation of regional carbon balances, but studies on it are very …
(LSMs) is relevant for the estimation of regional carbon balances, but studies on it are very …
[PDF][PDF] 陆地碳循环模型-数据融合: 前沿与挑战
李新， 马瀚青， 冉有华， 王旭峰， 朱高峰， 刘丰… - 中国科学: 地球 …, 2021 - researchgate.net
摘要陆地碳循环是地球生物化学循环的重要组成部分, 与人类福祉和可持续发展息息相关,
但其模拟和观测都具有高度不确定性. 融合模型和观测数据以减少陆地碳循环估计的不确定性 …
但其模拟和观测都具有高度不确定性. 融合模型和观测数据以减少陆地碳循环估计的不确定性 …