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pro vyhledávání: '"Eroglu, Orhan"'
Autor:
Lei, Fangni, Senyurek, Volkan, Kurum, Mehmet, Gurbuz, Ali Cafer, Boyd, Dylan, Moorhead, Robert, Crow, Wade T., Eroglu, Orhan
Publikováno v:
In Remote Sensing of Environment July 2022 276
This document contains the full proposal textthat the Project Pythia team submitted to the National Science Foundation's Geosciences Open Science Ecosystem (NSF GEO OSE) solicitation, resulting in three linked NSF awards RISE-2324302 (University at A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::189ce69f89a0f3f3c23b6e51673e2ad3
Autor:
clyne, john, Eroglu, Orhan, Hannay, Cecile, Medeiros, Brian P, Sizemore, Michaela, Ullrich, Paul, Zacharias, Anissa, Zarzycki, Colin, Cherian, Deepak
Project Raijin is an NSF EarthCube-funded effort to develop sustainable, community-owned tools for the analysis and visualization of unstructured grid model outputs arising from next generation climate and global weather models. The primary software
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01edb7978aca23131a54a17484bd6c42
Autor:
clyne, john, Banihirwe, Anderson, Camron, Drew, Cardinale, Christopher, Eroglu, Orhan, Ford, Robert, Grover, Max, Kent, Julia, Long, Matthew, May, Ryan, Paul, Kevin, Rose, Brian, Sizemore, Michaela, Tyle, Kevin, Zacharias, Anissa
Project Pythia is a web-based, community-owned, educational resource whose aim is to help teach geoscientists of all stripes and experience levels how to make effective use of the Scientific Python Ecosystem for the analysis and visualization of thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57d799a064cd3900d0f311dfb79482da
Project Raijin is an NSF EarthCube-funded effort whose goal is to develop community-owned tools that facilitate operating on unstructured climate and global weather data. We plan to: (1) develop extensible, scalable tools supporting fundamental analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d2451b7ac8def85d07632a83bc8a12b
Autor:
Eroglu, Orhan
Publikováno v:
Theses and Dissertations.
This dissertation proposes a learning-based, physics-aware soil moisture (SM) retrieval algorithm for NASA’s Cyclone Global Navigation Satellite System (CYGNSS) mission. The proposed methodology has been built upon the literature review, analyses,
Autor:
Rose, Brian, Banihirwe, Anderson, Camron, Drew, Clyne, John, Eroglu, Orhan, Grover, Max, Kent, Julia, Long, Matthew, May, Ryan, Paul, Kevin, Tyle, Kevin
Pangeo Showcase seminar series talk. Project Pythia (projectpythia.org) is funded by NSF EarthCube to develop open-access training materials and infrastructure to accelerate the adoption and effective use of the Pangeo stack among current and aspirin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b92832b7160f5a02fe01af5de964ac2
Autor:
clyne, john, Banihirwe, Anderson, Long, Matthew, Rose, Brian, Eroglu, Orhan, Kent, Julia, Camron, Drew, Tyle, Kevin, Grover, Max, May, Ryan, Kootz, Austin, Sizemore, Michaela, Zacharias, Anissa
Poster presented at the 2021 NSF Earth Cube Annual Meeting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ba1b9e3b8952046b5a7618890ff746e
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