Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ugur Cayoglu"'
Autor:
Tobias Kerzenmacher, Valentin Kozlov, Borja Esteban Sanchis, Ugur Cayoglu, Marcus Hardt, Peter Braesicke
The O3as service is a tool designed to support the assessment of atmospheric ozone levels and trends. It was developed as one of the thematic services of the EOSC-Synergy project. It allows for the analysis of large datasets from chemistry-climate mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7d148e02ff8dfa848d1f1abab57ae42
https://doi.org/10.5194/egusphere-egu23-15375
https://doi.org/10.5194/egusphere-egu23-15375
Autor:
Ugur Cayoglu
The goal of this project is to enable earth system scientists to visualize (un)structured NetCDF4 data on a 3D globe locally with just the browser. The provided solution will work on any client device incl. mobile phones, tablets, TVs and laptops. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e009c9d6185767933072ba5ac826138
https://doi.org/10.5194/egusphere-egu23-11672
https://doi.org/10.5194/egusphere-egu23-11672
The European Open Science Cloud-Synergy (EOSC-Synergy) project delivers services that serve to expand the use of EOSC. One of these services, O3as, is being developed for scientists using chemistry-climate models to determine time series and eventual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98da3226ebecebe9261406bc54388ddb
Autor:
Achim Streit, Jennifer Schröter, Frank Tristram, Tobias Kerzenmacher, Jörg Meyer, Ugur Cayoglu, Peter Braesicke
Publikováno v:
eScience
The increase in compute power and development of sophisticated simulation models with higher resolution output triggers a need for compression algorithms for scientific data. Several compression algorithms are currently under development. Most of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cafba9bbdca5873ab2de9395449f58d1
https://doi.org/10.1109/escience.2019.00032
https://doi.org/10.1109/escience.2019.00032
Publikováno v:
IEEE BigData
One of the scientific communities that generate the largest amounts of data today are the climate sciences. New climate models enable model integration at unprecedented resolution, simulating decades and centuries of climate change, including many co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a3445e2ee3cb3e880defc42bec12a1b
Publikováno v:
SIGSPATIAL/GIS
Through the introduction of next-generation models the climate sciences have experienced a breakthrough in high-resolution simulations. In the past, the bottleneck was the numerical complexity of the models, nowadays it is the required storage space
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef7f005ea3b0bf53c26d450da54a1e19
https://doi.org/10.1145/3274895.3274897
https://doi.org/10.1145/3274895.3274897
Publikováno v:
eScience
Significant increases in computational resources have enabled the development of more complex and spatially better resolved weather and climate models. As a result the amount of output generated by data assimilation systems and by weather and climate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46a7b106214dea570d2029044c14c199