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International Coupled Data Assimilation Symposium and the 11th National Ocean Data Assimilation Conference of China
Src:Qingdao National Laboratory for Marine Science and Technology    11:20:41 10/20/2017

Announcement

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Background

Coupled Earth system modeling provides the opportunities to extend skillful predictions beyond the traditional two-week barrier by extracting skill from low-frequency model components representing domains such as the atmosphere, land, ocean, ocean waves, sea-ice etc. More generally, such coupled models are needed to support seamless prediction systems that span timescales from weather, subseasonal to seasonal (S2S), multiyear to multi-decadal, and spatialscales from planetary-scale climate modes to small-scale local features. How to combine earth system models with the earth observing system to produce earth system analysis and numerical prediction initialization is a new challenge. On the one hand, the ocean is one of critically important components of the earth climate system. As an important part of ocean science, ocean data assimilation (ODA) incorporates oceanic observations into a numerical model to produce oceanic analysis and initialization of ocean prediction. The quality of oceanic analysis and prediction initialization plays a key role in earth climate studies. In addition, ODA is also a key step of monitoring and predicting oceanic environment for safety and insurance. Enhancement of the quality of oceanic analysis and prediction is of critical importance for both climate science and societal services in ensuring oceanic environment safety. On the other hand, while traditional ocean model has merged into a coupled earth system that is able to simulate the interactions of multiple time scale fluid media, how to advance ODA to increase the accuracy of oceanic analysis and prediction has become an urgent research field. In the past decade, significant progresses have been made in coupled model data assimilation (CDA) that uses a coupled earth system model to integrate the earth observing system, pursuing coherent and self-balanced state estimation and prediction initialization for earth system components such as the ocean, atmosphere, sea ice and land etc. It is the time for the community to meet and discuss how to progressively advance the earth system modeling and data assimilation studies. The goal of the jointed symposium and conference is to integrate the community great efforts on ODA and CDA as well as earth system modeling together to advance climate science and promote societal services.


 

 

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Organizer and Sponsor

Organizer: Key Laboratory of Physical Oceanography, MOE, Ocean University of China

Sponsor: Qingdao National Laboratory for Marine Science and Technology (QNLM)

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Scientific Organizing

Committee Chair:

Shaoqing Zhang, Ocean University of China, China

Co-Chairs:

Jiang Zhu, IAP, China

Steve Pena, University of Maryland, USA

Nozomi Sugiura, JAMSTEC, Japan

Ping Chang, Texas A&M University, USA

Alicia Karspeck, NCAR, USA

Youmin Tang, SIO/SOA, China

Guijun Han, NMDIS/SOA, China

Shiqiu Peng, SCSIO, China

Confirmed invited speakers:

Eugenia Kalnay, University of Maryland, USA

Anthony Rosati, GFDL, USA

S.-J. Lin, GFDL, USA

Steve Pena, University of Maryland, USA

Jorge Rodrigorivas, Minnesota University, USA

Terence O’kane, CSIRO, Australia

Hao Zuo, ECMWF, UK

Xiangbo Feng, Reading University, UK

Nozomi Sugiura, JAMSTEC, Japan

Qiang Wang, AWI, Germany

You-Soon Chang, Kongju University, Korea


 

 

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Important Dates

October 20, 2017:          Registration and Abstract Submission close

October 30, 2017:          Notification of Abstract Acceptance

November 5, 2017:        On-site Registration in QNLM

November 6-7, 2017:     Symposium

November 8, 2017:        Departure

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Local Organizing

Committee Chair:

Shoqing Zhang, Ocean University of China, China

Xiaopei Lin, Ocean University of China, China

Members:

Shujun Bai, Ocean University of China, China

Bolan Gan, Ocean University of China, China

Xia Hou, Ocean University of China, China

Mingkui Li, Ocean University of China, China

Xiaolin Yu, Ocean University of China, China

Xiaohui Ma, Ocean University of China, China

Xiuquan Wan, Ocean University of China, China

Yahui Wang, Ocean University of China, China

Zengrui Rong, Ocean University of China, China

Contact Information

Ms. Xia Hou

houx@ouc.edu.cn

+86-532-82032471

 

Overview

International Coupled Data Assimilation Symposium is hosted by Key Laboratory of Physical Oceanography, MOE, Ocean University of China (OUC) with contributions from Qingdao National Laboratory for Marine Science and Technology (QNLM). It aims to provide a forum for scientists from around the globe to have in-depth discussion and exchange over the understanding of earth system modeling and data assimilation. Scientific issues include but not limit to:

    • Updated ocean modeling and data assimilation

    • Updated atmosphere modeling and data assimilation

    • Other earth system components (sea-ice and land etc.) modeling and data

      assimilation

    • Coupled earth system modeling and data assimilation

    • Studies of data assimilation algorithms

• Parameter estimation studies

• Observing system studies

Under the framework of the Symposium, there will be plenary lectures, oral presentations as well as poster sessions. Early career scientists or participants from developing countries can apply for financial support to cover local hotel room rates.


Important Information

Venue: QNLM, Qingdao, China

Date: November 5 - 8, 2017

Deadlines:

October 20, 2017: Abstract Submission and Registration, closes;

October 30, 2017: Notification of Abstract Acceptance

                 

Address: 

     1 Wenhai Road, Aoshanwei,Jimo, Qingdao Shandong Province, 266237, China

(Chines/中文: 山东省青岛市即墨鳌山卫镇问海路1号,青岛海洋科学与技术国家实验室)

     Website: http://www.qnlm.ac/en/index

Sessions

Session1: Earth system modeling

Description:

The Earth System Model (ESM) community comprehends the sustainability of Earth’s natural resources and the interfaces between natural processes and human activities being significant global challenges for the next several decades. New climate modeling also holds the promises of capturing planetary-scale climate modes and small-scale regional features simultaneously as well as including their interactions, thus extending skillful predictions. Recently, several approaches and progresses, such as multi-layer interaction of the Earth, new parameter schemes and multi-grid methods (regional downscaling, mesh refinable global grids, two-way nested grids, and globally high-resolution grids etc.) have been successfully applied in different global and regional state-of-the-art ESMs. This not only improves our capability to predict natural and forced variability of the climate system and its impact, but also advances our understanding on small-scale Earth system processes that are critically important for downscaling climate predictions and projections. Although the results of these modeling approaches will be beneficial to Earth system and climate research, a research forum is still required to clarify and unify them. This session invites presentations that are actively engaged in research on pressing issues pertaining to the understanding and modeling of complex Earth system processes at both global and regional scales with these above-mentioned goals. Theoretical and numerical investigations related to ESMs are also welcome.

Conveners:    Anthony Rosati, GFDL, NOAA, USA

Confirmed Invited Speakers:

S.-J. Lin, GFDL, USA

Jorge Rodrigorivas, Minnesota University, USA


 

 

Session2: Coupled earth system data assimilation

Description:

Given the importance of coupled earth system model in prolonging skillful forecasts and supporting seamless weather-climate prediction, coupled earth system model analysis and initialization through coupled earth system model data assimilation (CDA) has risen as an urgent and important research field. CDA at a fundamental level in the context of coupled Earth system models can either be applied to each individual component (called Weakly Coupled Data Assimilation - WCDA) or to the coupled Earth system model as a whole (called Strongly Coupled Data Assimilation - SCDA). Using CDA, in which model forecasts and potentially the state estimation are performed jointly, each model component receives information from observations in other domains either directly using error covariance information known at the time of the analysis (SCDA), or indirectly through flux interactions at the model boundaries during the forecast (WCDA and SCDA). Because the non-atmospheric domains are generally under-observed compared to the atmosphere, CDA provides a significant advantage over single-domain analyses and a great opportunity for improving our estimates of the Earth system state.

Contributions from the following aspects, but not limited to, are considered to be of interest:

◆ Coupled data assimilation (Weakly coupled DA; Strongly coupled DA)

◆ Coupled reanalysis

◆ Coupled model initialization and prediction

◆ Ocean data assimilation; atmosphere data assimilation

Other component model data assimilation including sea ice data assimilation, land process data assimilation and eco-system component data assimilation etc.

Conveners:    Steve Pena, University of Maryland, USA

Confirmed Invited Speakers:

Eugenia Kalnay, University of Maryland, USA

Hao Zuo, ECMWF, UK

Xiangbo Feng, Reading University, UK

Jiang Zhu, IAP, China

Terence O’kane, CSIRO, Australia


 

 

Session3: Data assimilation method

Description:

Data assimilation, uncertainty and sensitivity analysis methods are vital components for predictability studies and prediction applications as well as reanalysis production. They are also frequently used in model optimization and parameter estimation. The challenges in this area are numerous due to the non-linear interaction of multiple spatiotemporal scales as well as uncertainties in dynamical and physical processes due to limited resolution. To confront these challenges, the goal of this session is to bring together researchers who are working and interested in the area to exchange the ideas and discuss recent theoretical progress and new method developments. Contributions from the following aspects, but not limited to, are considered to be of interest:

◆ Theoretical studies on nonlinear dynamics, filtering theory and optimization

◆ Developments of data assimilation, uncertainty and sensitivity analyses methods

◆ Estimation and quantification methods for uncertainties in ocean (coupled) models, parameters, sea-surface forcings etc.

◆ Assimilation methods with new type observation

◆ Fringe researches for new dataset, weather forecast and climate prediction

◆ Compatible research on interdisciplinary (physical/chemical/biological/et al.) assimilation

Conveners:    Nozomi Sugiura, JAMSTEC, Japan

Confirmed Invited Speakers:

You-Soon Chang, Kongju University, Korea

Alicia Karspeck, NCAR, USA

Youmin Tang, SIO/SOA, China

Guijun Han, NMDIS/SOA, China


 

 

Session4: Regional ocean prediction system

Description:

An ocean forecasting system is pragmatically useful for people and nations neighboring water by producing accurate information for oceanic environment safety and insurance. Many regional ocean prediction systems are developed over the world, generally consisting of such major parts: observational network, a suite of interdisciplinary dynamical models and data assimilation schemes. The challenges exist when dealing with multiple interactive scales, coupled effects with bi-directional feedbacks among complex physical, biological, chemical, sedimentological, acoustical, optical processes. A stat-of-the-art regional ocean prediction system should be professional enough for operation, providing shareable, scalable, flexible and efficient workflow and management. Also its final predicted result must be friendly enough for civilian users and policy makers. The goal of this session is to bring together researchers and engineers working in the area for exchanging knowledge and experiences in developing, evaluating and popularizing their systems.  Contributions from the following aspects, but not limited to, are of interest:

◆ Regional ocean prediction system for forecasting and simulating interdisciplinary multiscale oceanic phenomena  

◆ Predictability of regional ocean processes

◆ Impact of coupling on ocean forecasts; assessment of ocean forecasts in coupled systems

◆ Autonomous adaptive modeling and autonomous adaptive optimal sampling for regional ocean prediction system

Other aspects in coupled forecasting system development

Conveners:    Ping Chang,Texas A&M University, USA

Confirmed Invited Speakers:

Shiqiu Peng, SCSIO, China

Qiang Wang, AWI, Germany


 

 

Abstract Submission

Submission Deadline: October 20, 2017

Notification of Abstract Acceptance: October 30, 2017

Abstract Guidelines:

1. English ONLY

2. Please select Oral Preference/Poster Preference

3. Please select the session

4. Abstract Title 

(1) Please do not capitalize all the letters

(2) Use italic/capital letters where necessary

5. Abstract Body

(1) No more than 250 words

(2) No pictures, figures, tables, graphs

Example:

Title: Enhanced warming over the global subtropical western boundary currents

Presentation: Oral Preference

Session: Session 1

Abstract Body:

Subtropical western boundary currents are warm, fast-flowing currents that form on the western side of ocean basins. They carry warm tropical water to the mid-latitudes and vent large amounts of heat and moisture to the atmosphere along their paths, affecting atmospheric jet streams and mid-latitude storms, as well as ocean carbon uptake. The possibility that these highly energetic currents might change under greenhouse-gas forcing has raised significant concerns, but detecting such changes is challenging owing to limited observations. Here, using reconstructed sea surface temperature datasets and century-long ocean and atmosphere reanalysis products, we find that the post-1900 surface ocean warming rate over the path of these currents is two to three times faster than the global mean surface ocean warming rate. The accelerated warming is associated with a synchronous poleward shift and/or intensification of global subtropical western boundary currents in conjunction with a systematic change in winds over both hemispheres. This enhanced warming may reduce the ability of the oceans to absorb anthropogenic carbon dioxide over these regions. However, uncertainties in detection and attribution of these warming trends remain, pointing to a need for a long-term monitoring network of the global western boundary currents and their extensions.


Visa

Visa is necessary to travel to Qingdao and please check the requirements of visa application of your local Chinese Embassy/Consulates and entry conditions.

1. Formal Invitation Letter

Formal Invitation Letter will be issued by the Key Laboratory of Physical Oceanography, MOE, at the Ocean University of China. If you need, please fill in the Registration Form (download) and send it to pol@ouc.edu.cn. You will receive the scanned copy of the Formal Invitation Letter in 2-3 working days.

2. Confirmation Letter of Invitation by Duly-authorized Unit

Confirmation Letter of Invitation by Duly-authorized Unit is issued by the Office for Foreign Affairs Office of Qingdao Municipal Government. If you need, please contact pol@ouc.edu.cn for the list of required documents. You may receive the scanned copy of the Confirmation Letter of Invitation by Duly-authorized Unit after 10 working days with submission of all the required documents.

*All the supporting documents required by the Office for Foreign Affairs Office of Qingdao Municipal Government should be in Chinese and English. Additional fee will be charged for the translation service, if you need.

Hotel Reservation

Accommodation: QNLM Foreign Experts' Building

Room Rate: 150 RMB per night (*Cash and domestic debit/credit cards are accepted.) 

Booking Details: 

Non-local Participant who wants to make reservation at QNLM Hotel via the Local Organizing Committee, please fill in Registration Form and send to pol@ouc.edu.cn before October 20, 2017.

◆ We have limited reserved rooms in the hotel and Booking Principal is First Come, First Served!

◆ In terms of cancellation, please contact the Local Organizing Committee 72 hours prior to arrival.

◆ If you want to share room with others, you only need to submit one Form of Hotel Reservation.

◆ Payment will be made directly to Hotel and advanced deposit is required while Check-in.

◆ Check-out after 12:00 will be charged 50% of room rate before 6 p.m.

◆ If you check out after 6 p.m, one additional night will be charged.


Download: Registration Form-ICDAS.docx