Organizing Committee
Abstract

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.

Image for "VIRTUAL ONLY: Prediction and Variability of Air-Sea Interactions: the South Asian Monsoon"

Confirmed Speakers & Participants

  • Speaker
  • Poster Presenter
  • Attendee
  • Virtual Attendee
  • Prasanth Appukuttan Pillai
    Indian Institute of Tropical Meteorology
  • Amit Apte
    ICTS-TIFR
  • Moetasim Ashfaq
    ORNL
  • Mithun Sundhar B
    Indian Institute of Technology Tirupati
  • Venkatramani Balaji
    Princeton University
  • Judith Berner
    NCAR
  • Pritam Borah
    Indian Institute of Science
  • Dipanjan Chaudhuri
    University of Washington
  • Nan Chen
    University of Wisconsin-Madison
  • Deepak Cherian
    NCAR
  • Yesi Christy
    BMKG
  • THANANGKA CHUTIA
    INDIAN INSTITUTE OF SCIENCE, BANGALORE
  • Abhiram D S
    IIT MADRAS
  • Eric D'Asaro
    Applied Physics Laboratory, University of Washington
  • Sudeep Das
    IIT BBS
  • Charlotte DeMott
    Colorado State University
  • Kate Evans
    ORNL
  • Baylor Fox-Kemper
    Brown University
  • Srinivas Gangiredla
    LOCEAN
  • Luz Gomez Mogollon
    Universidad Nacional de Colombia
  • Ganesh Gopal
    Scripps Institution of Oceanography
  • Rama Govindarajan
    ICTS
  • Ankur Gupta
    Ministry of Earth Sciences, India
  • Subhadeep Halder
    Banaras Hindu University
  • Spencer Hill
    Lamont-Doherty Earth Observatory
  • Verena Hormann
    Scripps Institution of Oceanography, UC San Diego
  • Shineng Hu
    Duke University
  • Lijin J
    IIT Madras
  • Sreelekha Jarugula
    NOAA PMEL
  • Leah Johnson
    Brown University
  • Keith Julien
    University of Colorado Boulder
  • BIJIT KALITA
    Indian Institute of Science
  • Simi Kennady
    IIT, Chennai
  • Siddhant Kerhalkar
    University of Massachusetts Dartmouth
  • Alex Kinsella
    Woods Hole Oceanographic Institution
  • Shravan Kumar
    Indian Institute of Technology kharagpur
  • Praveen Kumar
    India Meteorological Department
  • Craig Lee
    University of Washington
  • Gad Levy
    NorthWest Research Associates
  • Drew Lucas
    Scripps Institution of Oceanography
  • Jennifer MacKinnon
    UCSD - Scripps Institution of Oceanography
  • Amala Mahadevan
    Woods Hole Oceanographic Institution
  • Brad Marston
    Brown University
  • Manikandan Mathur
    IIT Madras
  • Soma Mishra
    Indian Institute of Tropical Meteorology
  • Jithendra Nadimpalli
    Indian institute of technology madras
  • Molena Nguyen
    North Carolina State University
  • Paulo Orenstein
    IMPA
  • Olivier Pauluis
    NYU Courant
  • Steve Penny
    CIRES / NOAA PSL
  • Annick Pouquet
    NCAR
  • Suryachandra Rao
    Indian Institute of Tropical Meteorology
  • Juan Restrepo
    Oak Ridge National Laboratory
  • Bheemarasetty Saikumar
    Indian Institute of Technology Madras
  • Dhrubajyoti Samanta
    Nanyang Technological University, Singapore
  • Aakash Sane
    Princeton University
  • CHANDRAMOULI SANTRA
    Banaras Hindu University & IIT Madras (Online Degree)
  • Tamara Schlosser
    Scripps Institution of Oceanography
  • Vivek Seelanki
    Indian Institute of Technology Delhi (IITD)
  • Debasis Sengupta
    CAOS, Indian Institute of Science Bangalore
  • Hyodae Seo
    Woods Hole Oceanographic Insititution
  • Emily Shroyer
    Oregon State University
  • Daniel Simon
    Indian Institute of Science Education and Research
  • Deepti Singh
    Washington State University, Vancouver
  • Suraj Singh
    Indian Institute of Technology Madras
  • Shikha Singh
    Indian Institute of Tropical Meteorology
  • Adam Sobel
    Columbia University
  • Aneesh Subramanian
    University of Colorado Boulder
  • Amit Tandon
    UMass Dartmouth
  • Ishank Tiwari
    Guru Gobind Singh Indraprastha University
  • venu v
    Indian Institute of Science
  • Vishal Vasan
    International Centre for Theoretical Sciences TIFR
  • Lloyd Villanueva
    University of the Philippines
  • Gitesh Wasson
    Central University of Rajasthan
  • Beth Wingate
    University of Exeter
  • Laure Zanna
    NYU Courant

Workshop Schedule

Monday, August 23, 2021
  • 9:50 - 10:00 am EDT
    Welcome
    Virtual
    • Misha Kilmer, Tufts University
  • 10:00 - 10:40 am EDT
    Space-time scales of monsoon and ocean variability
    Virtual
    • Debasis Sengupta, CAOS, Indian Institute of Science Bangalore
    Abstract
    In situ and satellite observations show that upper ocean temperature, salinity and currents often change hand-in-hand with monsoon variability, particularly on sub-seasonal time scales. In this talk, I present examples of coherent variations in the atmosphere and ocean.
  • 10:55 - 11:35 am EDT
    Integrating Artificial Intelligence / Machine Learning with 
Data Assimilation - towards the initialization of 
subseasonal-to-seasonal (S2S) prediction
    Virtual
    • Steve Penny, CIRES / NOAA PSL
    Abstract
    Data assimilation (DA) shares many mathematical similarities with methods in artificial intelligence and machine learning (AI/ML). New methods are being developed to leverage these connections to improve capabilities in coupled data assimilation (CDA) for the initialization of coupled forecast models. Such coupled models are being used by operational prediction centers for forecast applications ranging from medium-range weather forecasts to subseasonal-to-seasonal (S2S) prediction. Advances by the integrated AI/ML & DA research group at CIRES and the NOAA Physical Sciences Laboratory will be discussed.
  • 11:50 am - 12:50 pm EDT
    Gather Town Reception
    - Virtual
Tuesday, August 24, 2021
  • 10:00 - 10:40 am EDT
    Some dynamical aspects of the Indian summer monsoon
    Virtual
    • Amit Apte, ICTS-TIFR
    Abstract
    The variability of the Indian summer monsoon on timescales ranging from days to months to years isonly poorly simulated by existing models, pointing to the need to better understand the complex dynamics of this phenomenon. The underlying feedbacks or processes that drive this variability are not well understood. One of the key questions in this regard is whether or not the feedbacks are internal, i.e., specific to the region, or global. We use a simple dynamical model to investigate the main ingredients for capturing the qualitative aspects of the Indian monsoon and variability.
  • 10:55 - 11:35 am EDT
    Monsoons, plumes, and blooms: intraseasonal variability in the subsurface chlorophyll maximum in the Bay of Bengal
    Virtual
    • Drew Lucas, Scripps Institution of Oceanography
    • Tamara Schlosser, Scripps Institution of Oceanography
    Abstract
    Forecasting the southwest monsoon variability in the Bay of Bengal (BoB) requires coupled air-sea numerical models with an accurate representation of the atmosphere and ocean physics. Here we additionally explore the importance of biophysical interactions, where we consider how intraseasonal oscillations can modulate primary productivity, and how primary productivity could influence monsoonal variability. The cloudy southwest monsoon decreases light availability, inducing a temporary transition from nutrient- to light-limited productivity wherein subsurface irradiance and primary productivity co-vary, derived from diel cycles in co-located measurements of downwelling irradiance and subsurface chlorophyll-a fluorescence. This has implications for carbon fixation within the BoB, in addition to higher food chain impacts. As phytoplankton concentrations increase, light attenuation also increases, modifying the vertical distribution of solar heating over the upper water column. By employing one-dimensional air-sea numerical models forced with the observed atmospheric forcing, we investigate the sensitivity of sea surface temperature and mixed layer depth to the time- and depth-variable light attenuation. In summary, primary productivity, light attenuation, and sea surface temperature are potentially interdependent during the southwest monsoon, highlighting the need for realistic estimates of light attenuation when forecasting monsoon variability.
  • 11:50 am - 12:50 pm EDT
    Gather Town Coffee/ Tea Break
    - Virtual
Wednesday, August 25, 2021
  • 9:00 - 10:00 am EDT
    Gather Town Coffee/ Tea Break
    - Virtual
  • 10:00 - 10:40 am EDT
    SST Fronts/Gradients in the Bay of Bengal and their Impact on Indian Summer Monsoon Rainfall at Different time scales
    Virtual
    • Suryachandra Rao, Indian Institute of Tropical Meteorology
    Abstract
    It is well-established that warm ocean currents play an essential role in the systematic development of extratropical cyclones. Since the Indian Ocean is landlocked on its northern side, one expects no such strong air-sea interaction. However, in this talk, I show how the SST fronts in the Bay of Bengal modulate Indian summer monsoon rainfall over India at different temporal scales. We have investigated how the SST fronts and gradients in the Bay of Bengal modulate the monsoon rainfall at different time scales by conducting well- designed model experiments. A narrow coastal Bay of Bengal SST front is essential to sustain rain over central India. The SST front promotes intense convection in its vicinity to source the monsoon-low pressure systems. Basin- wide meridional SST gradients support intraseasonal monsoon rainfall over India. Small scale SST eddies in the Bay of Bengal also appears to be modulating monsoon rainfall at a seasonal time scale.
  • 10:55 - 11:35 am EDT
    Observers in dynamical systems and their application to geophysical models
    Virtual
    • Vishal Vasan, International Centre for Theoretical Sciences TIFR
    Abstract
    Observability is a well defined notion in the theory of controls for dynamical systems which, in a sense is dual to the idea of controllability. In particular observability plays an important role in data assimilation. After a short review of the basic ideas, I'll introduce a range of recent applications to partial differential equations arising in geophysics. I'll also present some recent work on image-based observers and other similar dynamically interesting quantities, which can also be used to infer the state of the system. The talk is aimed at a general scientific audience and will not assume more than a familiarity with differential equations.
Thursday, August 26, 2021
  • 10:00 - 10:40 am EDT
    Ocean-atmosphere coupled feedbacks in the South Asian Monsoon
    Virtual
    • Charlotte DeMott, Colorado State University
    Abstract
    The ocean and atmosphere communicate with one another through exchanges of heat, moisture, momentum, and gases across the across the air-sea interface. These surface exchanges can regulate the multi-scale processes within the Asian monsoon system. In this talk, I will give an overview of tropical ocean-atmosphere coupled feedbacks as they relate to the South Asian Monsoon system, and how biases in the representation of these feedbacks in coupled forecast models may contribute monsoon prediction skill.
  • 10:55 - 11:35 am EDT
    Tropical Indian Ocean Mediates ENSO Influence Over Central Southwest Asia During the Wet Season
    Virtual
    • Moetasim Ashfaq, ORNL
    Abstract
    El Niño–Southern Oscillation (ENSO) exerts a strong positive influence on the precipitation variability over Central Southwest Asian (CSWA) region during the wet season that spans from November to April. We note that the ENSO influence varies intra-seasonally and has two components, one directly through the equatorial Pacific region and one indirectly through the tropical Indian Ocean. In both cases, ENSO exerts its influence through Rossby wave-like atmospheric anomalies. When the two components are in phase, ENSO has the strongest influence while it is weakest when they are out of phase. These findings suggest that improvements in sub-seasonal to seasonal scale predictability requires the better representation of intra-seasonal variability of ENSO teleconnection, as well as the role of inter-basin interactions in its propagation.
  • 11:50 am - 12:50 pm EDT
    Gather Town Coffee/ Tea Break
    - Virtual
Friday, August 27, 2021
  • 9:00 - 10:00 am EDT
    Gather Town Coffee/ Tea Break
    - Virtual
  • 10:00 - 10:40 am EDT
    Physical theories and stochastic modeling for monsoon prediction
    Virtual
    • Aneesh Subramanian, University of Colorado Boulder
    Abstract
    In the past four decades, several studies have contributed to improving our theoretical understanding of the tropical intraseasonal oscillation (TISO) over the Indian Ocean region.
    Improved theoretical understanding can help improve our models and their predictions of these disturbances. Progress in modeling and predicting the ISO will has been achieved by understanding the underlying complex feedbacks and interactions amongst the earth system components during a monsoon intraseasonal oscillation. Significant progress in theoretical understanding has been achieved, yet some aspects of the theories remain incomplete. Here we will present some of the existing theories that explain the generation and maintenance of the monsoon intraseasonal oscillation. We will then discuss how stochastic modeling in earth system prediction can help improve forecasts of intraseasonal oscillations over the Indian Ocean region. Coupled air-sea interaction processes relevant to intraseasonal variability (e.g. the MJO, MISO) in the earth’s climate system are inadequately represented in regional and global coupled models. These inaccuracies could be related to the either poor parameterization of model physics or insufficient model resolution to resolve the critical processes. In this presentation, we will present forecast evaluations of a series of medium and subseasonal-range hindcasts to show that stochastic modeling approaches have a significant impact on tropical intraseasonal forecast skill and the statistics of precipitation generated by these storms. This has implications on improving conventional convection parameterization for predicting such high impact weather events as we await the exascale computing systems of the future to resolve convective processes in weather models.
  • 10:55 - 11:35 am EDT
    Oceanography of the Head Bay Warm Zone
    Virtual
    • Eric D'Asaro, Applied Physics Laboratory, University of Washington
    Abstract
    Recent modelling work suggests that the monsoon is sensitive to SST and its gradients in an approximately 100 km band along the north coast of the Bay of Bengal. I call this region the Head Bay Warm Zone (HWZ). Here, I review the oceanography of the HWZ and suggest ways to improve predictions. Surprisingly, the HWZ, particularly the region of the Ganges delta shelf is poorly studied. The mixed layer depth in the HWZ is shallower than in the central Bay, often less than 10 meters, due to the lower salinity from river water input. During the monsoon the net heat flux warms the ocean so the HWZ is warmer than the central Bay on average. However, the fluctuations in this gradient are large due to variations in the river input and the MISO cycle. In particular, the salinity of the HWZ increases dramatically during the monsoon so air-sea interactions may be quite different in the early and late monsoons. The importance of these fluctuations is not well understood. Upwelling along the coast does not cool the HWZ because the upwelled water has the same temperature as the surface water due to mixing during the early monsoon. Model simulations often use climatological estimates of the mixed layer depth. These may differ significantly from the thermodynamic mixed layer which is the best measure for air-sea interaction. Similarly, mixing parameterizations for very shallow mixed layers may have systematic errors. Finally, if salinity is important to monsoon dynamics, then the persistence of salinity in the Bay of Bengal over multiple years may introduce some memory into this system.
  • 11:50 am - 12:00 pm EDT
    Closing Remarks
    Virtual

All event times are listed in ICERM local time in Providence, RI (Eastern Daylight Time / UTC-4).

All event times are listed in .

Request Reimbursement

ORCID iD
As this program is funded by the National Science Foundation (NSF), ICERM is required to collect your ORCID iD if you are receiving funding to attend this program. Be sure to add your ORCID iD to your Cube profile as soon as possible to avoid delaying your reimbursement.
Acceptable Costs
  • 1 roundtrip between your home institute and ICERM
  • Flights on U.S. or E.U. airlines – economy class to either Providence airport (PVD) or Boston airport (BOS)
  • Ground Transportation to and from airports and ICERM.
Unacceptable Costs
  • Flights on non-U.S. or non-E.U. airlines
  • Flights on U.K. airlines
  • Seats in economy plus, business class, or first class
  • Change ticket fees of any kind
  • Multi-use bus passes
  • Meals or incidentals
Advance Approval Required
  • Personal car travel to ICERM from outside New England
  • Multiple-destination plane ticket; does not include layovers to reach ICERM
  • Arriving or departing from ICERM more than a day before or day after the program
  • Multiple trips to ICERM
  • Rental car to/from ICERM
  • Flights on a Swiss, Japanese, or Australian airlines
  • Arriving or departing from airport other than PVD/BOS or home institution's local airport
  • 2 one-way plane tickets to create a roundtrip (often purchased from Expedia, Orbitz, etc.)
Reimbursement Requests

Request Reimbursement with Cube

Refer to the back of your ID badge for more information. Checklists are available at the front desk and in the Reimbursement section of Cube.

Reimbursement Tips
  • Scanned original receipts are required for all expenses
  • Airfare receipt must show full itinerary and payment
  • ICERM does not offer per diem or meal reimbursement
  • Allowable mileage is reimbursed at prevailing IRS Business Rate and trip documented via pdf of Google Maps result
  • Keep all documentation until you receive your reimbursement!
Reimbursement Timing

6 - 8 weeks after all documentation is sent to ICERM. All reimbursement requests are reviewed by numerous central offices at Brown who may request additional documentation.

Reimbursement Deadline

Submissions must be received within 30 days of ICERM departure to avoid applicable taxes. Submissions after thirty days will incur applicable taxes. No submissions are accepted more than six months after the program end.