An Ensemble Adjustment Kalman Filter for the CCSM4 Ocean Component

Autor: Karspeck, Alicia R., Yeager, Steve, Danabasoglu, Gokhan, Hoar, Tim, Collins, Nancy, Raeder, Kevin, Anderson, Jeffrey, Tribbia, Joseph

Publikováno v: Journal of Climate, 2013 Oct 01. 26(19), 7392-7413.

Externí odkaz: https://www.jstor.org/stable/26192860

Uncertainty in Terrestrial Water Cycle Simulations

Autor: Shrestha, Prabhakar, Sulis, Mauro, Poll, Stefan, Hoar, Tim, Hendricks-Franssen, Harrie-Jan, Simmer, Clemens, Kollett, Stefan

Publikováno v: Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag, Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series 50, 311-319 (2020).
NIC Symposium 2020
NIC Symposium 2020NIC Symposium 2020, Jülich, Germany, 2020-02-27-2020-02-28

TerrSysMP has been exploited to advance our understanding of terrestrial water cycle, by conducting km-scale simulations from field scale to continental scale at the massively parallel supercomputing environment of the Jülich Supercomputing Centre (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3364::bbaa68a803e89b9540a2b15fdeeb861c
https://juser.fz-juelich.de/record/874424

Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction

Autor: Baatz, Roland, Hendricks-Franssen, Harrie-Jan, Han, Xujun, Hoar, Tim, Bogena, Heye, Vereecken, Harry

Publikováno v: Hydrology and Earth System Sciences, Vol 21, Iss 5, Pp 2509-2530 (2017)
European Geosciences Union General Assembly 2017, EGU2017, Wien, Österreich, 2017-04-23-2017-04-28

Land surface models describe biogeophysical and biogeochemical processes at the land surface, and represent thelower boundary condition of atmospheric circulation models. Their key role is the quantification of mass and energyfluxes between the land

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5c68d8ee8653c4ab04fc790b3033ec7a
https://www.hydrol-earth-syst-sci.net/21/2509/2017/

Evaluation of a cosmic-ray neutron sensor network for improved land surface model predictio

Autor: Baatz, Roland, Hendricks-Franssen, Harrie-Jan, Han, Xujun, Hoar, Tim, Bogena, Heye, Vereecken, Harry

Publikováno v: Hydrology and earth system sciences 21(5), 2509-2530 (2017). doi:10.5194/hess-21-2509-2017

In-situ soil moisture sensors provide highly accurate but very local soil moisture measurements while remotely sensed soil moisture is strongly affected by vegetation and surface roughness. In contrast, Cosmic-Ray Neutron Sensors (CRNS) allow highly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3364::e16cfab7ab773c793eaf7d91571a013d
https://juser.fz-juelich.de/record/834511

GCCOM_DART Ensemble Data Assimilation System for the 3-D Non hydrostatic General Curvilinear Coastal Ocean Model

Autor: Mariangel Garcia, Hoar, Tim, Thomas, Mary, Bailey, Barbara, JoseE. Castillo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7fb59178690a3b141b4a897d4d372276