- A multivariate statistical input–output model for analyzing water ...🔍
- View Submission🔍
- Mikkel Bennedsen🔍
- Global Carbon and Other Biogeochemical Cycles and Feedbacks🔍
- Consistency and Challenges in the Ocean Carbon Sink Estimate for ...🔍
- Eric Hillebrand🔍
- A unified modelling framework for projecting sectoral greenhouse ...🔍
- Spatial heterogeneity and scenario simulation of carbon budget on ...🔍
A multivariate dynamic statistical model of the global carbon budget ...
Modeling, forecasting, and nowcasting U.S. CO2 emissions using ...
Theseproblemsarise,forexample,intheannual update of the Global Carbon Budget (Le Quéré and Andrew, 2018). To arrive at such a statistical model class, we start ...
A multivariate statistical input–output model for analyzing water ...
This study is the first attempt to propose a multivariate statistical input–output model (MSIO) for analyzing water-carbon nexus system from ...
Modeling, Forecasting, and Nowcasting US CO2 Emissions
Our analysis is based on the statistical dynamic model yt = α + k. X ... Global Carbon Budget 2016. Earth System. Science Data 8(2), 605 ...
View Submission - CMStatistics
Abstract: A dynamic statistical model is proposed for the Global Carbon Budget as represented in the annual data set made available by the Global Carbon ...
Mikkel Bennedsen - Google Scholar
A multivariate dynamic statistical model of the global carbon budget 1959–2020. M Bennedsen, E Hillebrand, SJ Koopman. Journal of the Royal Statistical Society ...
Global Carbon and Other Biogeochemical Cycles and Feedbacks
17 dynamic global vegetation models driven by climate change, rising atmospheric ... Global Carbon Cycle in the CMIP5 Earth System Models. Journal of Climate,. 26 ...
Consistency and Challenges in the Ocean Carbon Sink Estimate for ...
The BIM quantifies the gap between the best estimates of emissions and sinks, and hence reflects limitations in our understanding of the global carbon cycle.
Eric Hillebrand - Google Scholar
Journal of Climate 30 (17), 6795-6821, 2017. 17, 2017. A multivariate dynamic statistical model of the global carbon budget 1959–2020. M Bennedsen, E Hillebrand ...
Chapter 5: Global Carbon and other Biogeochemical Cycles and ...
Their average is used to determine the net land-use change flux in the annual global carbon budget (black line). ... All estimates are unsmoothed annual data.
A unified modelling framework for projecting sectoral greenhouse ...
Currently, there is a lack of comprehensive, sectorally disaggregated, yet comparable projections for greenhouse gas emissions. Here, we project ...
Spatial heterogeneity and scenario simulation of carbon budget on ...
Based on night light data and land use data, we investigated carbon budget through model estimation, decoupling analysis, and scenario ...
DISCUSSION PAPER SERIES - CEPR
(2020) in the estimation of a multivariate dynamic model involving the main variables included in the Global Carbon Budget (GCB). 12. Page 17 ...
A STATISTICAL MODEL OF THE GLOBAL CARBON BUDGET
Models for the components of the global carbon budget. 2. The dynamics of atmospheric concentrations C. 3. The system model. 4. Esimation ...
Dynamic Modeling and Forecasting Data Energy Used and Carbon ...
The correlation among variables of multivariate time series also can be explained by VECM model, which can explain the effect of a variable or set of variables ...
Revisiting the Global Energy Budget Dynamics with a Multivariate ...
Budyko (1969) and Sellers (1969) introduced a linear approximation of the zero-dimensional energy balance model (EBM) to represent, at first order, the time ...
Global carbon budget 2022 | CentAUR
global land-use change data for model input does not cap- ture forest ... cycle feedbacks using five Dynamic Global Vegetation Models. (DGVMs): ...
Terrestrial ecosystem model studies and their contributions to AsiaFlux
Ecological Research 21,. 137-149. Ito A, Nishina K, Noda HM, 2016: Evaluation of global warming impacts on the carbon budget of terrestrial ecosystems in.
Global Carbon Budget 2020 [Data Paper] - Horizon IRD
A dynamic global vegetation model for studies of the coupled atmosphere ... carbon cycle feedbacks using five Dynamic Global Vegeta- tion Models (DGVMs) ...
Dynamic nowcast of the New Zealand greenhouse gas inventory
Statistics for prediction accuracy are given in Table 2, which shows ET is optimal across both sectors. sectors. Agriculture. Energy model. LS.
Global Carbon Budget 2020 | HAL
nomic and trade data from the Global Trade and Analysis. Project (GTAP ... A dynamic global vegetation model for studies of the coupled.