2015 AGU Fall Meeting and 2016 AMS Annual Meeting: abstract submission deadlines

Date:2015-07-23    

2015 AGU Fall Meeting, 14-18 December 2015, San Francisco, CA (Abstract Submission Deadline: 5 August 2015, Monday)

http://fallmeeting.agu.org/2015/abstract-submissions/

2016 AMS Annual Meeting, January 10-14 in New Orleans, Louisiana.  (Abstract Submission Deadline: 3 August 2015, Monday)

 https://ams.confex.com/ams/96Annual/oasys.epl  

 

------------------- AMS session 1 ---------- 

 Impacts of aerosols on storm dynamics, cloud physics, and precipitation 

Organizer: Wei-Kuo Tao and Xiaowen Li, NASA/GSFC
 
Topic Description: Aerosols (both natural and anthropogenic) interact with clouds and precipitation in complicated ways and with large uncertainties. They not only change cloud/precipitation microphysical processes, but also modify precipitation through radiation and dynamical feedback. This session welcomes both observational and modeling studies that aim to reduce uncertainties in aerosol impact on precipitation. These can range from process-based studies of aerosol impacts on cloud microphysics, to ensemble simulations of precipitation systems and their responses to aerosol forcing, to model parameterization development leading to better representations of aerosol-precipitation interactions in cloud, regional and global models.

 

 
Abstract Submission Deadline: 3 August 2015
Session ID: 7854  

 

 Clouds and Precipitation in the Perturbed Climate System 

Session Description.Modern civilization has altered the amounts of greenhouse gases, the characteristics of land cover, and the amount of atmospheric aerosol particles. As a consequence, the life cycle of cloud systems and spatio-temporal distributions of precipitation may have changed through perturbations in atmospheric cooling/heating rates, surface heat fluxes, and the concentrations of cloud pre-cursors. These changes may have contributed to climate system resilience against man-made forcing. The session welcomes studies on these open questions that take advantage of modern measurements (remote sensing and in-situ), numerical models (from LES, to CRM, to GCM), analytic solution, and their synergy. 

 

Conveners: Toshi Matsui, Wei-Kuo Tao, and Lazaros Oreopoulos, NASA Goddard Space Flight Center, Greenbelt, MD, United States 

 

------------------- AGU session 2 ---------- 

Toward Reducing Systematic Errors in Weather and Climate Models: Evaluation, Understanding, and Improvement 

Session Description:  

Despite recent advances in both weather and climate models, large errors persist in their simulated weather and climate. Understanding nature and causes of these errors through in-depth analysis and evaluation with observations is a first and critical step to improving models This session invites presentations in the following areas: (1) Global and regional evaluation of weather and climate models such as those used in numerical weather prediction (NWP) and climate centers and from major model intercomparison projects (e.g., CMIP3/CMIP5); (2) Process studies that utilize single-column models, cloud-resolving models, and NWP techniques in climate models; (3) Diagnostics that utilize both surface and satellite observations; and (4) Observational studies that have a direct bearing on understanding and improving convection, clouds, radiation, precipitation and their interactions in weather and climate models. Errors in mean state or variability (diurnal, seasonal, etc.), in atmosphere or land, in atmosphere-only or coupled model, are all of interest.  

https://agu.confex.com/agu/fm15/preliminaryview.cgi/Session7868 

Confirmed invited speakers are Stan Benjamin (ESRL/NOAA), Andrew Gettelman (NCAR), Minghua Zhang (SBU), and Peter Gleckler (PCMDI/LLNL).   

Session Conveners: Shaocheng Xie (LLNL), Brian Medeiros (NCAR), Jui-Lin F Li (JPL), and Fanglin Yang (NCEP). 

------------------- AGU session 3---------- 

 

IN023: Geophysical Science Data Analytics Use Case Scenarios   

Session ID#: 8744

Session Description: What's the big deal about data analytics? What's big is the need to develop and implement technologies, services, applications, and techniques to efficiently analyze data and information for knowledge extraction. Data analytics enables examination of large, distributed, heterogeneous data sets. With the availability of, and need to quickly acquire, process, and analyze, varieties of needed available data, science research and prediction capabilities have evolved towards the use of innovative data analysis techniques, as well as computer technologies, such as machine learning applications, data mining, and visualization, etc. This session provides a forum for data scientists, science researchers, applications data users, educators, and decision makers to describe their data analytics usage scenarios that utilize techniques and technologies to overcome difficulties and unknowns associated with analyzing large amounts of heterogeneous data. In addition, insight can be gained by comparing the challenges and advantages of such capabilities and by sharing lessons learned.

Primary Convener:  

Steven J Kempler (NASA/GSFC)
 
Conveners: Robert R Downs, Tiffany Joi Mathews, and John S Hughes 

Abstract Submission Deadline: 5 August 2015, Wednesday 

 

=========================================

 

AGU Fall Meeting

A002: A New Look at Climate Diagnosis and Modeling in the Era of Climate Informatics

Conveners: Yi Deng (Georgia Tech, USA), Imme Ebert-Uphoff (Colorado State Univ., USA)

The size and complexity of observational and model-simulated climate data have seen accelerated growth since the late 1970s. This increasing amount of data and our growing computational capacity create unprecedented opportunities for bringing innovative approaches of machine learning and data mining to climate data for interdisciplinary knowledge discovery, thus the birth of a new area “climate informatics”. This session seeks contributions from all application areas with the goal of improving process-level understanding and modeling of the Earth’s coupled climate system through advanced data mining and machine learning methods. These include but are not restricted to the development and implementation of new data mining methods for climate diagnosis and atmospheric process study, new ideas of data assimilation, stochastic climate and environment modeling, use of causal discovery and structure learning methods to understand large-scale dynamical processes, uncertainty quantification in climate simulation and projection, and data-driven approaches in weather forecasting and climate prediction.

7468: Mineral dust aerosols: from small-scale insights to large-scale understanding

Conveners: Chun Zhao (PNNL, USA) Martina Klose (University of Cologne, Germany) Joanna M Nield (University of Southampton, UK) and Hongbin Yu, (University of Maryland and NASA GSFC, USA)

Interactions of the dust cycle with other components of the Earth system produce a wide range of complex effects on atmospheric composition, human health, hydrological cycle, climate, and ecosystems. To better understand and assess these effects, substantial advances are needed, including field and laboratory measurements, remote sensing techniques, and models of the physical and chemical properties of dust. This session invites contributions reporting any such advances, as well as studies addressing any aspect of the dust cycle and its impact on the Earth system, including the identification of dust source regions, characterization of dust physical, chemical, and optical properties, modeling of dust cycle and its interactions with other cycles of the Earth system, research of dust interactions with clouds, radiation, rainfall, and the biosphere, quantification of effects of land use and climate changes on dust emissions, and understanding of dust impacts on air quality and human health.

96th AMS Annual Meeting

Abstract submission deadline: 3 August 2015

URL: http://annual.ametsoc.org/2016/index.cfm/call-for-papers/ 

Session highlights

Special Session on US-International Partnership – Joint Session II 

Co-Convener and Co-Sponsor: COAA

Session Description: 

Joint Session: Part II of Special Sessions on US-International Partnerships: Joint Research and Coordinated Observations in Hydrometeorology, Extremes and High-Impact Events in the US and Asia 

Hydrometeorological disasters are the most recurring and devastating natural hazards in the world, directly impacting human lives and causing severe economic damage through property loss. The US and Asia face similar challenges in observing, understanding and forecasting hydrometeorological events, in particularly associated with extremes and high-impact events. This session is aimed at fostering and promoting communications and collaborations among US and Asian countries through information exchange on science advances, technology and infrastructure capabilities, data, and common practices. We invite contributions dealing with all aspects of hydrometeorological studies including in-situ and satellite observation, data assimilation, atmospheric and hydrologic process studies and modeling, and weather and hydrologic forecasting on timescales from days to seasons. We particularly welcome US-Asian joint research in those areas. Sponsors: ? AMS Board on Global Strategies ? Chinese-American Oceanic and Atmospheric Association (COAA) ? The 30th Conference on Hydrology ? AMS Committee on Satellite Meteorology, Oceanography and Climatology.

Conveners:

· Jin Huang (Jin.Huang@noaa.gov)

· Fuzhong Weng (Fuzhong.Weng@noaa.gov)

· Ken Carey (ken.carey@ertcorp.com)

· John Eylander (John.B.Eylander@usace.army.mil)

  

Special Symposium on Seamless Weather and Climate Prediction—Expectations and Limits of Multi-scale Predictability

Conveners:Fuqing Zhang (PSU), Kerry Emanuel (MIT)

Through a mix of invited and contributed presentations, this special one-day symposium solicits papers on recent progress and challenges in seamless weather and climate prediction with particular emphasis on our current understanding of both the practical and intrinsic aspects of multi-scale atmospheric predictability for various weather and climate phenomena, including tornadic thunderstorms, mesoscale convective vortices, tropical cyclones, winter snowstorms, flooding, heat waves, droughts, MJOs, monsoons and ENSOs. Practical predictability refers to the current capability of a forecast system or agency under best practice given state-of-the-art models with state-of-the-art initial and boundary conditions. Intrinsic predictability refers to the limit of prediction at different temporal and spatial scales given nearly perfect initial conditions and nearly perfect forecast models. Understanding the limits of intrinsic predictability is crucial in setting expectations and priorities for advancing deterministic forecasting (through better model, observing network and data assimilation) and in providing guidance on the design of advanced probabilistic and ensemble prediction.

 

18th Conference on Atmospheric Chemistry 

Conveners: Jeff Collet (Colorado State Univ., USA), Jiwen Fan (PNNL, USA)

The 18th Conference on Atmospheric Chemistry is seeking contributions related to all aspects of atmospheric chemistry and air quality, including interactions among atmospheric chemistry, physics and dynamics; biogenic emissions; secondary aerosol formation; cloud effects on atmospheric chemistry; reactive nitrogen sources, transport, transformation, and sinks; and impacts of oil and gas development on air quality. The conference will include invited and contributed oral and poster sessions, facilitating dialogue among atmospheric chemists, physicists, and meteorologists to tackle research challenges in this interdisciplinary field. The conference will also feature joint sessions with the Eigth Symposium onAerosol-Cloud-Climate Interactions and Mario J. Molina Symposium. Specific topics include:

? Air Quality Impacts of Oil and Gas Development

? Atmospheric Convection: Impact on Atmospheric Composition and Chemistry (Joint with 8AeroCloud)

? Cloud Effects on Atmospheric Chemistry

? Themed-joint session: Greenhouse Gas Emissions: Quantifying Uncertainties in Measurements and Models and Resultant Climate Impacts

? Pollutant sources, transport, transformation, and sinks

? Secondary Organic Aerosols: Formation, Properties, and Atmospheric Evolution

 

Eighth Symposium on Aerosol–Cloud–Climate Interactions 

  

Conveners: Sonia Kreidenweis (Colorado State Univ., USA), Jiwen Fan (PNNL, USA)

The Eighth Symposium on Aerosol–Cloud–Climate Interactions will organize various sessions on aerosol-radiation and aerosol-cloud interactions on both process-level understanding and parameterizations for models:

? Aerosol and Monsoon Interactions

? Aerosol Impacts on Cirrus Clouds

? Aerosol-cloud interactions in shallow clouds

? Themed-joint session: Atmospheric chemistry and aerosols in weather and climate prediction and analysis

? Current challenges of aerosol-cloud interactions in regional and global climate models

? Impacts of aerosols on storm dynamics, cloud physics, and precipitation

? Meteorology, Aerosols, Clouds, and Precipitation in Amazonia- GoAmazon2014/5 field campaigns (Joint with 18ATCHEM)

? Soil dust: Lofting and transport, characterization, and interactions with clouds and storms (Joint with 18th ATCHEM)

 

----------------- AGU session 1 ----------(Abstract Submission Deadline: 5 August 2015, Wednesday) 

 

Joint Session: Part II of Special Sessions on US-International Partnerships: Joint Research and Coordinated Observations in Hydrometeorology, Extremes and High-Impact Events in the US and Asia  

 

Hydrometeorological disasters are the most recurring and devastating natural hazards in the world, directly impacting human lives and causing severe economic damage through property loss. The US and Asia face similar challenges in observing, understanding and forecasting hydrometeorological events, in particularly associated with extremes and high-impact events. This session is aimed at fostering and promoting communications and collaborations among US and Asian countries through information exchange on science advances, technology and infrastructure capabilities, data, and common practices. We invite contributions dealing with all aspects of hydrometeorological studies including in-situ and satellite observation, data assimilation, atmospheric and hydrologic process studies and modeling, and weather and hydrologic forecasting on timescales from days to seasons. We particularly welcome US-Asian joint research in those areas. Sponsors: ? AMS Board on Global Strategies ? Chinese-American Oceanic and Atmospheric Association (COAA) ? The 30th Conference on Hydrology ? AMS Committee on Satellite Meteorology, Oceanography and Climatology.

Conveners: 

· Jin Huang (Jin.Huang@noaa.gov) 

· Fuzhong Weng (Fuzhong.Weng@noaa.gov) 

· Ken Carey (ken.carey@ertcorp.com) 

· John Eylander (John.B.Eylander@usace.army.mil) 

  

 

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