Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Darren Engwirda"'
Autor:
Dongyu Feng, Zeli Tan, Darren Engwirda, Jonathan D. Wolfe, Donghui Xu, Chang Liao, Gautam Bisht, James J. Benedict, Tian Zhou, Hong‐Yi Li, L. Ruby Leung
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 6, Pp n/a-n/a (2024)
Abstract Coastal zone compound flooding (CF) can be caused by the interactive fluvial and oceanic processes, particularly when coastal backwater propagates upstream and interacts with high river discharge. The modeling of CF is limited in existing Ea
Externí odkaz:
https://doaj.org/article/b237c25807b448448a847e111de33936
Autor:
Chang Liao, Tian Zhou, Donghui Xu, Zeli Tan, Gautam Bisht, Matthew G. Cooper, Darren Engwirda, Hong‐Yi Li, L. Ruby Leung
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 11, Pp n/a-n/a (2023)
Abstract Flow direction modeling consists of (a) an accurate representation of the river network and (b) digital elevation model (DEM) processing to preserve characteristics with hydrological significance. In part 1 of our study, we presented a mesh
Externí odkaz:
https://doaj.org/article/447009eb82964c5e84f0666fed857c04
Autor:
Chang Liao, Tian Zhou, Donghui Xu, Matthew G. Cooper, Darren Engwirda, Hong‐Yi Li, L. Ruby Leung
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 2, Pp n/a-n/a (2023)
Abstract River networks are important features in surface hydrology. However, accurately representing river networks in spatially distributed hydrologic and Earth system models is often sensitive to the model's spatial resolution. Specifically, river
Externí odkaz:
https://doaj.org/article/b19b7ab2411d46a491c35af229744eef
Autor:
Jeremy R. Lilly, Giacomo Capodaglio, Mark R. Petersen, Steven R. Brus, Darren Engwirda, Robert L. Higdon
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 1, Pp n/a-n/a (2023)
Abstract This paper presents the first practical application of local time‐stepping (LTS) schemes in the Model for Prediction Across Scales‐Ocean (MPAS‐O). We use LTS schemes in a single‐layer, global ocean model that predicts the storm surge
Externí odkaz:
https://doaj.org/article/7785b4ec7a534b9da2127e7ba44b6c54
Autor:
Kristin N. Barton, Nairita Pal, Steven R. Brus, Mark R. Petersen, Brian K. Arbic, Darren Engwirda, Andrew F. Roberts, Joannes J. Westerink, Damrongsak Wirasaet, Michael Schindelegger
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 11, Pp n/a-n/a (2022)
Abstract We examine ocean tides in the barotropic version of the Model for Prediction Across Scales (MPAS‐Ocean), the ocean component of the Department of Energy Earth system model. We focus on four factors that affect tidal accuracy: self‐attrac
Externí odkaz:
https://doaj.org/article/2e00899e3b874839b3f9a91d39d2c832
Autor:
Kristin E. Hoch, Mark R. Petersen, Steven R. Brus, Darren Engwirda, Andrew F. Roberts, Kevin L. Rosa, Phillip J. Wolfram
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 3, Pp n/a-n/a (2020)
Abstract Climate model components utilizing unstructured meshes enable variable resolution, regionally enhanced simulations within global domains. Here we investigate the relationship between mesh quality and simulation statistics using the JIGSAW un
Externí odkaz:
https://doaj.org/article/36949e2fc7964b569c513181271103a1
Autor:
Nairita Pal, Kristin N. Barton, Mark R. Petersen, Steven R. Brus, Darren Engwirda, Brian K. Arbic, Andrew F. Roberts, Joannes J. Westerink, Damrongsak Wirasaet
Publikováno v:
Geoscientific Model Development (1991-9603) (Copernicus GmbH), 2023-02-23, Vol. 16, N. 4, P. 1297-1314
Oceanic tides are seldom represented in Earth system models (ESMs) owing to the need for high horizontal resolution to accurately represent the associated barotropic waves close to coasts. This paper presents results of tides implemented in the Model
Autor:
Xylar Asay-Davis, Carolyn Begeman, Darren Engwirda, Holly Han, Matthew Hoffman, Stephen Price
We present our approach to coupling an ocean component (MPAS-Ocean, Model for Prediction Across Scales-Ocean) to an ice sheet component (MALI, MPAS-Albany Land Ice) within an Earth System Model (E3SM, the Energy Exascale Earth System Model) developed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12fbeb4069662caa0180fed1f17096a8
https://doi.org/10.5194/egusphere-egu23-13262
https://doi.org/10.5194/egusphere-egu23-13262
Autor:
Jonathan Wolfe, Douglas W. Jacobsen, Todd D. Ringler, Elizabeth Hunke, Adrian K. Turner, Darren Engwirda, Nicole Jeffery, William H. Lipscomb
Publikováno v:
Geoscientific Model Development. 15:3721-3751
We present MPAS-Seaice, a sea-ice model which uses the Model for Prediction Across Scales (MPAS) framework and spherical centroidal Voronoi tessellation (SCVT) unstructured meshes. As well as SCVT meshes, MPAS-Seaice can run on the traditional quadri