The value of soil respiration measurements for interpreting and modeling terrestrial carbon cycling
Background An acceleration of model-data synthesis activities has leveraged many
terrestrial carbon datasets, but utilization of soil respiration (RS) data has not kept pace …
terrestrial carbon datasets, but utilization of soil respiration (RS) data has not kept pace …
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 …
Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for US Midwestern agroecosystems
As one of the major agricultural production areas in the world, the United States (US)
Midwest plays a vital role in the global food supply and agricultural ecosystem services …
Midwest plays a vital role in the global food supply and agricultural ecosystem services …
Precipitation amount, seasonality and frequency regulate carbon cycling of a semi-arid grassland ecosystem in Inner Mongolia, China: A modeling analysis
Over the last century, precipitation has shown significant changes, reflecting both natural
variability and radiative forcing changes from greenhouse gases and aerosols. Arid and …
variability and radiative forcing changes from greenhouse gases and aerosols. Arid and …
Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data
Accurate terrestrial biosphere model (TBM) simulations of gross carbon uptake (gross
primary productivity–GPP) are essential for reliable future terrestrial carbon sink projections …
primary productivity–GPP) are essential for reliable future terrestrial carbon sink projections …
Improving the global MODIS GPP model by optimizing parameters with FLUXNET data
The global gross primary productivity (GPP) product derived from the Moderate Resolution
Imaging Spectroradiometer (MODIS) is perhaps the most widely used GPP product …
Imaging Spectroradiometer (MODIS) is perhaps the most widely used GPP product …
Improving estimates of gross primary productivity by assimilating solar‐induced fluorescence satellite retrievals in a terrestrial biosphere model using a process‐based …
Over the last few years, solar‐induced chlorophyll fluorescence (SIF) observations from
space have emerged as a promising resource for evaluating the spatio‐temporal distribution …
space have emerged as a promising resource for evaluating the spatio‐temporal distribution …
The BETHY/JSBACH carbon cycle data assimilation system: Experiences and challenges
T Kaminski, W Knorr, G Schürmann… - Journal of …, 2013 - Wiley Online Library
We present the concept of the Carbon Cycle Data Assimilation System and describe its
evolution over the last two decades from an assimilation system around a simple diagnostic …
evolution over the last two decades from an assimilation system around a simple diagnostic …
Contrasting responses of grassland water and carbon exchanges to climate change between Tibetan Plateau and Inner Mongolia
The grassland ecosystems in Tibetan Plateau (TP) and Inner Mongolia (IM) of China play
important roles in climate change mitigation and food and livestock production. These two …
important roles in climate change mitigation and food and livestock production. These two …
Using satellite data to improve the leaf phenology of a global terrestrial biosphere model
Correct representation of seasonal leaf dynamics is crucial for terrestrial biosphere models
(TBMs), but many such models cannot accurately reproduce observations of leaf onset and …
(TBMs), but many such models cannot accurately reproduce observations of leaf onset and …