Gregor Schürmann
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View article: Decentralized forecasting of wind energy generation with an adaptive machine learning approach to support ancillary grid services
Decentralized forecasting of wind energy generation with an adaptive machine learning approach to support ancillary grid services Open
We report on an approach to distributed wind power forecasting, which supports wind energy integration in power grid operation during exceptional and critical situations. Forecasts are generated on-site the wind power plant (WPP) in order …
View article: Opportunities to support the restoration of electrical grids with little numbers of large power plants through converter‐connected generation and storages
Opportunities to support the restoration of electrical grids with little numbers of large power plants through converter‐connected generation and storages Open
The nuclear phase‐out in Germany and the decarbonization of the energy supply are accompanied by a profound upheaval of the generation fleet. The decommissioning of large power plants and their replacement by decentralized, renewable gener…
View article: Decentralized forecasting of wind energy generation with an adaptive machine learning approach to support ancillary grid services
Decentralized forecasting of wind energy generation with an adaptive machine learning approach to support ancillary grid services Open
<p>The increasing penetration of the power grid with renewable energy (RE) sources comes with an increase of distributed generation units (DGUs), which exhibit a very heterogeneous structure. Grid operators often face challenges when…
View article: Three decades of simulated global terrestrial carbon fluxes from a data assimilation system confronted with different periods of observations
Three decades of simulated global terrestrial carbon fluxes from a data assimilation system confronted with different periods of observations Open
During the last decade, carbon cycle data assimilation systems (CCDAS) have focused on improving the simulation of seasonal and mean global carbon fluxes over a few years by simultaneous assimilation of multiple data streams. However, the …
View article: Three decades of simulated global terrestrial carbon fluxes from a data assimilation system confronted to different periods of observations
Three decades of simulated global terrestrial carbon fluxes from a data assimilation system confronted to different periods of observations Open
This paper presents global land carbon fluxes for the period 1982–2010 (gross primary production, GPP, and net ecosystem exchange, NEE) estimated with the Max Planck Institute – Carbon Cycle Data Assimilation System (MPI-CCDAS v1). The pri…
View article: Consistent assimilation of multiple data streams in a carbon cycle dataassimilation system
Consistent assimilation of multiple data streams in a carbon cycle dataassimilation system Open
Data assimilation methods provide a rigorous statistical framework for constraining parametric uncertainty in land surface models (LSMs), which in turn helps to improve their predictive capability and to identify areas in which the represe…
View article: Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0
Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0 Open
We describe the Max Planck Institute Carbon Cycle Data Assimilation System (MPI-CCDAS) built around the tangent-linear version of the JSBACH land-surface scheme, which is part of the MPI-Earth System Model v1. The simulated phenology and n…
View article: Consistent assimilation of multiple data streams in a carbon cycle data assimilation system
Consistent assimilation of multiple data streams in a carbon cycle data assimilation system Open
Data assimilation methods provide a rigorous statistical framework for constraining the parametric uncertainty of land surface models (LSMs), with the aim of improving our predictive capability as well as identifying areas in which the mod…
View article: Constraining a land surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System
Constraining a land surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System Open
We describe the Max Planck Institute Carbon Cycle Data Assimilation System (MPI-CCDAS) built around the tangent-linear version of the land surface scheme of the MPI-Earth System Model v1 (JSBACH). The simulated terrestrial biosphere proces…