Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Helen Conover"'
Autor:
Bibek Dahal, Abdelhak Marouane, Todd Berendes, Patrick Gatlin, Khomsun Singhirunnusorn, Aaron Naeger, Helen Conover, Stephanie M. Wingo, Brian Ellingson, Ajinkya Kulkarni, Lihua Wang, Manil Maskey
Publikováno v:
IGARSS
Diverse airborne and ground-based environmental observations are important technologies for disaster assessment and response, as well as for the validation of environmental satellite observations and atmospheric models which can improve forecasts. Th
Autor:
Helen Conover, Todd Berendes, Ajinkya Kulkarni, Charles Collins, Lihua Wang, Sriraksha Nagaraj, Khomsun Singhirunnusorn, Sara Graves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b266d3082e7127a36d34432b67c8be1
https://doi.org/10.1002/essoar.10500688.1
https://doi.org/10.1002/essoar.10500688.1
Autor:
Yubin He, Helen Conover, Bong-Chul Seo, Sara Graves, M. McEniry, Ibrahim Demir, Witold F. Krajewski, Walter A. Petersen, Radoslaw Goska
Publikováno v:
Journal of Hydrometeorology. 16:1155-1170
In the spring of 2013, NASA conducted a field campaign known as Iowa Flood Studies (IFloodS) as part of the Ground Validation (GV) program for the Global Precipitation Measurement (GPM) mission. The purpose of IFloodS was to enhance the understanding
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 51:5090-5097
With the interdependencies that exist between data in a scientific processing pipeline, the ability to track the provenance of the scientific process through multiple stages is necessary to determining the usability of the resulting data product. In
Autor:
B. Beaumont, Ajinkya Kulkarni, Sara Graves, Rahul Ramachandran, K. Regner, Helen Conover, M. McEniry
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 51:5098-5104
Accurate provenance information facilitates improved understanding of Earth science data and scientific reproducibility and can serve as an indicator of data quality. Provenance capture is an integral part of many modern workflow systems but may not
Publikováno v:
CIN: Computers, Informatics, Nursing. 31:351-355
Autor:
Udaysankar S. Nair, Deborah K. Smith, Rahul Ramachandran, Kwo-Sen Kuo, John Rushing, Helen Conover, Sara Graves, A. Lin, Xiang Li
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6:1233-1241
Data-intensive science is a scientific discovery process that is driven by knowledge extracted from large volumes of data rather than the traditional hypothesis driven discovery process. One of the key challenges in data-intensive science is developm
Autor:
Manil Maskey, Udaysankar S. Nair, Sunil Movva, Rahul Ramachandran, Helen Conover, Ajinkya Kulkarni
Publikováno v:
Earth Science Informatics. 5:33-41
“Open science,” where researchers share and publish every element of their research process in addition to the final results, can foster novel ways of collaboration among researchers and has the potential to spontaneously create new virtual resea
Autor:
Bradley Zavodsky, Yue Lu, Xiang Li, K. Regner, Mike Botts, Manil Maskey, Helen Conover, Gregoire Berthiau, H. Michael Goodman
Publikováno v:
Ecological Informatics. 5:32-41
Standard interfaces for data and information access facilitate data management and usability by minimizing the effort required to acquire, catalog and integrate data from a variety of sources. The authors have prototyped several data management and a
Publikováno v:
Earth Science Informatics. 1:49-57
Each year across the USA, destructive weather events disrupt transportation and commerce, resulting in both loss of lives and property. Mitigating the impacts of such severe events requires innovative new software tools and cyberinfrastructure throug