Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Gregor Schürmann"'
Publikováno v:
IET Renewable Power Generation, Vol 17, Iss 14, Pp 3496-3506 (2023)
Abstract 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
Externí odkaz:
https://doaj.org/article/c4652c3b8fee4164be57e91571e48b22
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 employing RE due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b463ecc40dd23a3c08aecedca0709dce
https://doi.org/10.5194/ems2022-428
https://doi.org/10.5194/ems2022-428
Autor:
Karel Castro-Morales, Gregor Schürmann, Christoph Köstler, Christian Rödenbeck, Martin Heimann, Sönke Zaehle
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 primary ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f442e7bd81ead62c29e5eddd53e377c5
https://doi.org/10.5194/bg-2018-517
https://doi.org/10.5194/bg-2018-517
Publikováno v:
Geoscientific Model Development
Geoscientific Model Development, 2016, 9 (10), pp.3569-3588. ⟨10.5194/gmd-9-3569-2016⟩
Geoscientific Model Development, Vol 9, Iss 10, Pp 3569-3588 (2016)
Geoscientific Model Development, European Geosciences Union, 2016, 9 (10), pp.3569-3588. ⟨10.5194/gmd-9-3569-2016⟩
Geoscientific Model Development, 2016, 9 (10), pp.3569-3588. ⟨10.5194/gmd-9-3569-2016⟩
Geoscientific Model Development, Vol 9, Iss 10, Pp 3569-3588 (2016)
Geoscientific Model Development, European Geosciences Union, 2016, 9 (10), pp.3569-3588. ⟨10.5194/gmd-9-3569-2016⟩
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 representation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2d2cd51b57d588b8cb8e9e58a298024
https://doi.org/10.5194/gmd-9-3569-2016
https://doi.org/10.5194/gmd-9-3569-2016
Autor:
Gregor Schürmann, Daniela Dalmonech, Reiner Schnur, Christian Reick, Victor Brovkin, Sönke Zaehle
Publikováno v:
Journal of Climate. 28:272-291
The capacity of earth system models (ESMs) to make reliable projections of future atmospheric CO2 and climate is strongly dependent on the ability of the land surface model to adequately simulate the land carbon (C) cycle. Defining “adequate” per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa2f93afa53cadcbd993d12c83a58f06
https://doi.org/10.1175/jcli-d-13-00593.1
https://doi.org/10.1175/jcli-d-13-00593.1
Publikováno v:
Desalination and Water Treatment. 51:1004-1013
Biofouling tremendously reduces performance of polymer membranes in desalination. The underlying processes involve multiple organisms and there is no complete picture of the involved interactions yet. Defined and reproducible testing strategies are t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3498282d81249e3899d2a59aaa10796e
https://doi.org/10.1080/19443994.2012.715131
https://doi.org/10.1080/19443994.2012.715131