Konferenzen zum Thema Meteorologie und Klimaveränderung in den Vereinigten Staaten (USA)

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1
Prediction and Variability of Air-Sea Interactions: the South Asian Monsoon
23. Aug 2021 - 27. Aug 2021 • Providence, Vereinigte Staaten
Veranstalter:
ICERM
Zusammenfassung:
A challenge for mathematical modeling, from toy dynamical system models to full weather and climate models, is applying data assimilation and dynamical systems techniques to models that exhibit chaos and stochastic variability in the presence of coupled slow and fast modes of variability. Recent collaborations between universities and government agencies in India and the United States have resulted in detailed observations of oceanic and atmospheric processes in the Bay of Bengal, the Arabian Sea, and the Indian Ocean, collectively observing many coupled modes of variability. One key target identified by these groups was the improvement of forecasts of variability of the summer monsoon, which significantly affects agriculture and water management practices throughout South Asia. The Monsoon Intraseasonal Oscillation is a northward propagating mode of precipitation variability and is one of the most conspicuous examples of coupled atmosphere-ocean processes during the summer monsoon. Simulating coupled atmosphere-ocean processes present mathematical challenges spanning numerical methods, data assimilation, stochastic modeling, dynamical systems and chaos, and uncertainty quantification. Predicting monsoon variability is one of the hardest, most important forecasting problems on earth due to its impact on billions of people, a key aspect of the desire to push weather forecasts into the management-actionable “medium-range” horizon of weeks to seasons. Addressing this challenge requires an interdisciplinary effort to combine observations, computation, and theory. A better understanding of these processes and how they can be represented in a variety of coupled ocean-atmosphere simulations and models (including statistical and dynamical approaches) and forecast systems (including data assimilation techniques and uncertainty quantification) is the primary topic of this workshop. While the set of observations to be discussed will emphasize this region, the mathematical and computational aspects of the program will be significantly broader, covering: coupled ocean-atmosphere modeling for weather models, climate models and idealized models; theory of the atmospheric and oceanic boundary layers, and waves on the interface; data assimilation in coupled modeling systems; and numerical methods for coupled systems.
Kontakt:
Program Coordinator;     Tel.: [401-863-5030];     Email: info@icerm.brown.edu
Themen:
Mathematical modeling, dynamical systems techniques, stochastic variability
Eintrags-ID:
1385031
2
Atmospheric Optics: Aerosols, Visibility, and the Radiative Balance
04. Okt 2021 - 08. Okt 2021 • Bryce Canyon, UT , Vereinigte Staaten
Veranstalter:
Air & Waste Management Association (A&WMA)
Zusammenfassung:
This international conference will provide a technical forum on advances in the scientific understanding of the effects of aerosols on urban, regional, continental, and global-scale haze and the radiative balance. The conference will take a multipronged approach by encouraging scientific dailogue (e.g., related to measurements, modeling) as well as including presentations addressing regulatory and policy issues. New topics added for 2020 include sessions on biomass burning and the effects of wildfire, including fire behavior and forecasting, impacts on visibility, radiative balance and health, and possible mitigation strategies. Sessions will be added related to the increasing concerns of the effects of atmospheric nitrogen and carbonaceous material on haze, climate change, and nitrogen deposition on ecosystems.
Eintrags-ID:
1402792
3
Machine Learning for Climate
01. Nov 2021 - 04. Nov 2021 • Santa Barbara, Vereinigte Staaten
Veranstalter:
UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)
Zusammenfassung:
The theoretical understanding of the Earth system has fundamentally advanced in recent decades in parallel to an exponential increase of observations and modeling data. However, climate scientists cannot meet the challenge of informing society about changes that may occur in the future at regional and local scales because many two-way, multi-scale processes that encompass the physical chemical and biological realms continue to elude us. Big data and the associated algorithms (Machine Learning) provide the opportunity to learn about quantities related to the climate systems in ways and with an amount of detail that were infeasible only a few years ago. The opportunity for descriptive inference creates the chance for climate scientists to ask causal questions and create new theories or validate old ones. Furthermore, when paired with modeling experiments or robust research in model parameterizations, “big data” can provide data-driven answers to vexing questions.

This conference will set the stage for exchanging tools and ideas and will help identify key problems where consistent progress is achievable through collaborative efforts. The theme of the conference will extend more broadly than the Physics focus of the main program, in order to elicit input from a wide range of experts across the earth system and computational sciences who are involved in the climate change problem. Given the level of interdisciplinarity and exchange that we aim for and expect, this conference will summarize current understanding and open questions, and will set the stage for achieving the aims of the associated KITP program.

Eintrags-ID:
1395768
4
AMS Annual Meeting
23. Jan 2022 - 27. Jan 2022 • Houston , Vereinigte Staaten
Veranstalter:
American Meteorological Society (AMS)
Eintrags-ID:
1181285
Verwandte Fachgebiete:
5
AMS Annual Meeting
08. Jan 2023 - 12. Jan 2023 • Denver , Vereinigte Staaten
Veranstalter:
American Meteorological Society (AMS)
Eintrags-ID:
1181317
Verwandte Fachgebiete:
6
AMS Annual Meeting
28. Jan 2024 - 31. Jan 2024 • Baltimore , Vereinigte Staaten
Veranstalter:
American Meteorological Society (AMS)
Eintrags-ID:
1181305
Verwandte Fachgebiete:
7
AMS Annual Meeting
12. Jan 2025 - 16. Jan 2025 • New Orleans , Vereinigte Staaten
Veranstalter:
American Meteorological Society (AMS)
Eintrags-ID:
1181260
Verwandte Fachgebiete:
8
AMS Annual Meeting
25. Jan 2026 - 29. Jan 2026 • Houston , Vereinigte Staaten
Veranstalter:
American Meteorological Society (AMS)
Eintrags-ID:
1181281
Verwandte Fachgebiete:
9
AMS Annual Meeting
01. Okt 2027 - 14. Jan 2027 • Denver , Vereinigte Staaten
Veranstalter:
American Meteorological Society (AMS)
Eintrags-ID:
1181324
Verwandte Fachgebiete:
10
AMS Annual Meeting
30. Jan 2028 - 02. Feb 2028 • Baltimore , Vereinigte Staaten
Veranstalter:
American Meteorological Society (AMS)
Eintrags-ID:
1181301
Verwandte Fachgebiete:
11
AMS Annual Meeting
07. Jan 2029 - 11. Jan 2029 • New Orleans , Vereinigte Staaten
Veranstalter:
American Meteorological Society (AMS)
Eintrags-ID:
1181322
Verwandte Fachgebiete:
12
AMS Annual Meeting
27. Jan 2030 - 31. Jan 2030 • Houston , Vereinigte Staaten
Veranstalter:
American Meteorological Society (AMS)
Eintrags-ID:
1181343
Verwandte Fachgebiete:
13
AMS Annual Meeting
12. Jan 2031 - 16. Jan 2031 • Denver , Vereinigte Staaten
Veranstalter:
American Meteorological Society (AMS)
Eintrags-ID:
1181320
Verwandte Fachgebiete:
14
AMS Annual Meeting
01. Feb 2032 - 04. Feb 2032 • Baltimore , Vereinigte Staaten
Veranstalter:
American Meteorological Society (AMS)
Eintrags-ID:
1181396
Verwandte Fachgebiete:


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Stand vom 19. Januar 2021