Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Richard P. Signell"'
Autor:
Tiffany C. Vance, Micah Wengren, Eugene Burger, Debra Hernandez, Timothy Kearns, Encarni Medina-Lopez, Nazila Merati, Kevin O’Brien, Jon O’Neil, James T. Potemra, Richard P. Signell, Kyle Wilcox
Publikováno v:
Frontiers in Marine Science, Vol 6 (2019)
Advances in ocean observations and models mean increasing flows of data. Integrating observations between disciplines over spatial scales from regional to global presents challenges. Running ocean models and managing the results is computationally de
Externí odkaz:
https://doaj.org/article/31c2a09cd6424ca4b0b4d727f3d15895
Autor:
Richard P. Signell, Derrick P. Snowden
Publikováno v:
Journal of Marine Science and Engineering, Vol 2, Iss 1, Pp 194-208 (2014)
An infrastructure for earth science data is emerging across the globe based on common data models and web services. As we evolve from custom file formats and web sites to standards-based web services and tools, data is becoming easier to distribute,
Externí odkaz:
https://doaj.org/article/466e7fd525d3444db47afda68de61346
Autor:
Richard P. Signell, Dharhas Pothina
Publikováno v:
Journal of Marine Science and Engineering, Vol 7, Iss 4, p 110 (2019)
The traditional flow of coastal ocean model data is from High-Performance Computing (HPC) centers to the local desktop, or to a file server where just the needed data can be extracted via services such as OPeNDAP. Analysis and visualization are then
Externí odkaz:
https://doaj.org/article/414378dd41534da19af60e6e026722a9
Publikováno v:
Journal of Marine Science and Engineering, Vol 4, Iss 4, p 68 (2016)
Digital catalogs of ocean data have been available for decades, but advances in standardized services and software for catalog searches and data access now make it possible to create catalog-driven workflows that automate—end-to-end—data search,
Externí odkaz:
https://doaj.org/article/8e5eddd2ef524c9e9678f50dd63d8fac
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 19, Pp 1823-1838 (2019)
Water level in semi-enclosed bays, landward of barrier islands, is mainly driven by offshore sea level fluctuations that are modulated by bay geometry and bathymetry, causing spatial variability in the ensuing response (transfer). Local wind setup ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e47cff98049e51cc9241e3d55081964
https://www.nat-hazards-earth-syst-sci.net/19/1823/2019/nhess-19-1823-2019.pdf
https://www.nat-hazards-earth-syst-sci.net/19/1823/2019/nhess-19-1823-2019.pdf
Autor:
Daniel J. Crichton, James E. Colliander, Yuvi Panda, Richard P. Signell, Chris Holdgraf, Chelle L. Gentemann, Edward Joseph Kearns, Ryan Abernathey
Publikováno v:
AGU Advances. 2
The core tools of science (data, software, and computers) are undergoing a rapid and historic evolution, changing what questions scientists ask and how they find answers. Earth science data are bei...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c5bc119a4c704fc2862293189dd26fb
https://doi.org/10.1029/2020av000354
https://doi.org/10.1029/2020av000354
Autor:
Chelle Leigh Gentemann, Chris Holdgraf, Ryan Abernathey, Daniel Crichton, James Colliander, Edward Joseph Kearns, Yuvi Panda, Richard P. Signell
The core tools of science (data, software, and computers) are undergoing a rapid and historic evolution, changing what questions scientists ask and how they find answers. Earth science data are being transformed into new formats optimized for cloud s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e65708da7bd890560c98d9e70626832
https://doi.org/10.1002/essoar.10506344.2
https://doi.org/10.1002/essoar.10506344.2
Autor:
Joseph Hamman, Naomi Henderson, Ryan Abernathey, Chiara Lepore, Charles C. Blackmon-Luca, Anderson Banihirwe, Chelle L. Gentemann, Richard P. Signell, Niall H. Robinson, Theo A. McCaie, Timothy J. Crone, Tom Augspurger
Scientific data has traditionally been distributed via downloads from data server to local computer. This way of working suffers from limitations as scientific datasets grow towards the petabyte scale. A “cloud-native data repository,” as defined
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2cf56a34979df3ff365417e0cf04ad4
https://doi.org/10.22541/au.160443768.88917719/v2
https://doi.org/10.22541/au.160443768.88917719/v2
Autor:
Andrew Pawloski, Dennis Robert Fatland, Matthew Hanson, Joseph Hamman, Daniel Pilone, Amanda Tan, Tom Augspurger, S. T. Henderson, Richard P. Signell, Ryan Abernathey, Anthony Arendt
In this presentation, we will describe the [Pangeo Project](http://pangeo.io), a coordinated community effort with support from NASA, NSF, AWS, Microsoft Azure and Google Cloud, to develop interact...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe0171ef4d11c3fa757e27d27d496063
https://doi.org/10.1002/essoar.10501751.1
https://doi.org/10.1002/essoar.10501751.1
Autor:
António M. Baptista, Arthur Allen, Jane McKee Smith, Josie Quintrell, Avichal Mehra, David J. Schwab, Rebecca Baltes, Leslie K. Rosenfeld, John Wilkin, Patrick J. Hogan, Richard P. Signell, Ruoying He, Alexander L. Kurapov
Publikováno v:
Journal of Operational Oceanography. 10:115-126
This paper outlines strategies that would advance coastal ocean modeling, analysis and prediction as a complement to the observing and data management activities of the coastal components of the U.S. Integrated Ocean Observing System (IOOS��) and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bde5a96236cfe139b8b636a8ef36c3c4
https://doi.org/10.1080/1755876x.2017.1322026
https://doi.org/10.1080/1755876x.2017.1322026