Zobrazeno 1 - 10
of 8 433
pro vyhledávání: '"T. Schneider"'
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 7041-7062 (2024)
Accelerated progress in climate modeling is urgently needed for proactive and effective climate change adaptation. The central challenge lies in accurately representing processes that are small in scale yet climatically important, such as turbulence
Externí odkaz:
https://doaj.org/article/0b05a3a7d4324c6ea80e8af920bdc846
Autor:
M. Langer, J. Nitzbon, B. Groenke, L.-M. Assmann, T. Schneider von Deimling, S. M. Stuenzi, S. Westermann
Publikováno v:
The Cryosphere, Vol 18, Pp 363-385 (2024)
Understanding the future evolution of permafrost requires a better understanding of its climatological past. This requires permafrost models to efficiently simulate the thermal dynamics of permafrost over the past centuries to millennia, taking into
Externí odkaz:
https://doaj.org/article/644af62acb5e40e5a76b9536d19ffd51
Autor:
C. He, P. Valayamkunnath, M. Barlage, F. Chen, D. Gochis, R. Cabell, T. Schneider, R. Rasmussen, G.-Y. Niu, Z.-L. Yang, D. Niyogi, M. Ek
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 5131-5151 (2023)
The widely used open-source community Noah with multi-parameterization options (Noah-MP) land surface model (LSM) is designed for applications ranging from uncoupled land surface hydrometeorological and ecohydrological process studies to coupled nume
Externí odkaz:
https://doaj.org/article/b7070a1436fa4a75a058c167619a955b
Autor:
F. Miesner, P. P. Overduin, G. Grosse, J. Strauss, M. Langer, S. Westermann, T. Schneider von Deimling, V. Brovkin, S. Arndt
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Subsea permafrost carbon pools below the Arctic shelf seas are a major unknown in the global carbon cycle. We combine a numerical model of sedimentation and permafrost evolution with simplified carbon turnover to estimate accumulation and mi
Externí odkaz:
https://doaj.org/article/14d60b9de37149208d3fc423a3e28398
Influence of measurement uncertainty on machine learning results demonstrated for a smart gas sensor
Publikováno v:
Journal of Sensors and Sensor Systems, Vol 12, Pp 45-60 (2023)
Humans spend most of their lives indoors, so indoor air quality (IAQ) plays a key role in human health. Thus, human health is seriously threatened by indoor air pollution, which leads to 3.8 ×106 deaths annually, according to the World Health Organi
Externí odkaz:
https://doaj.org/article/f047ffa90f644d829d7fbd5b733dea09
The Importance of Hyperspectral Soil Albedo Information for Improving Earth System Model Projections
Autor:
R. K. Braghiere, Y. Wang, A. Gagné‐Landmann, P. G. Brodrick, A. A. Bloom, A. J. Norton, S. Ma, P. Levine, M. Longo, K. Deck, P. Gentine, J. R. Worden, C. Frankenberg, T. Schneider
Publikováno v:
AGU Advances, Vol 4, Iss 4, Pp n/a-n/a (2023)
Abstract Earth system models (ESMs) typically simplify the representation of land surface spectral albedo to two values, which correspond to the photosynthetically active radiation (PAR, 400–700 nm) and the near infrared (NIR, 700–2,500 nm) spect
Externí odkaz:
https://doaj.org/article/e35665170d2240fba6c9ce4b0bfcd535
Autor:
A. Sridhar, Y. Tissaoui, S. Marras, Z. Shen, C. Kawczynski, S. Byrne, K. Pamnany, M. Waruszewski, T. H. Gibson, J. E. Kozdon, V. Churavy, L. C. Wilcox, F. X. Giraldo, T. Schneider
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 6259-6284 (2022)
We introduce ClimateMachine, a new open-source atmosphere modeling framework which uses the Julia language and is designed to be scalable on central processing units (CPUs) and graphics processing units (GPUs). ClimateMachine uses a common framework
Externí odkaz:
https://doaj.org/article/136a4256aa5d4d959388321e5dfa5903
Autor:
A. N. Souza, J. He, T. Bischoff, M. Waruszewski, L. Novak, V. Barra, T. Gibson, A. Sridhar, S. Kandala, S. Byrne, L. C. Wilcox, J. Kozdon, F. X. Giraldo, O. Knoth, J. Marshall, R. Ferrari, T. Schneider
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 4, Pp n/a-n/a (2023)
Abstract Dynamical cores used to study the circulation of the atmosphere employ various numerical methods ranging from finite‐volume, spectral element, global spectral, and hybrid methods. In this work, we explore the use of Flux‐Differencing Dis
Externí odkaz:
https://doaj.org/article/f28dc9a22b354d63aad3b9fdfdaaa0df
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 11, Pp n/a-n/a (2022)
Abstract Microphysics methods for climate models and numerical weather prediction typically track one, two, or three moments of a droplet size distribution for various categories of liquid, ice, and aerosol. Such methods rely on conversion parameters
Externí odkaz:
https://doaj.org/article/3a1f38761b24419f8aa87c2d2a80be69
Publikováno v:
Journal of Sensors and Sensor Systems, Vol 10, Pp 233-245 (2021)
Process sensor data allow for not only the control of industrial processes but also an assessment of plant conditions to detect fault conditions and wear by using sensor fusion and machine learning (ML). A fundamental problem is the data quality, whi
Externí odkaz:
https://doaj.org/article/a338f81dbb2744f7a2a0d0ddcf36c068