20 - 21 - 22 November / Milan
7th LAKES 2024 Workshop on Parameterization of Lakes in Numerical Weather Prediction and Climate Modelling
7th LAKES 2024 Workshop
Lakes are an important component of the hydrological cycle as they collect a significant amount of water from external inputs (precipitation, runoff, groundwater and river inflows) and release it gradually over time through outflows and evaporation. They influence local weather due to differences in heating between land and water, while their thermal dynamics are primarily driven by the atmosphere.
Understanding the two-way interactions between lakes and the atmosphere is essential for better weather predictions and managing ecosystems, water quality, and storage, especially in a contex of climate change.
An accurate representation of the complex dynamics of lakes is key for many environmental and societal applications, such as ecosystem management, water quality assessment, and water storage planning. To this end, reliable parameterization of atmospheric forcing is required.
Remote sensing, with tools like altimeters and multispectral sensors, offers valuable data for studying lake changes and their interaction with the environment. Time series of satellite products are available through projects focusing on lake changes (e.g. ESA CCI ECV Lakes), from local to global scales; meanwhile, progress in remote sensing technology offers near real-time monitoring and the generation of value-added map products (e.g. HABs and currents).
Conference Overview
The forthcoming Workshop on the Parameterization of Lakes in Numerical Weather Prediction and Climate Modelling is aimed at exploring the interactions between inland water bodies, such as lakes and reservoirs, and the atmosphere above, in order to improve the coupling between these two key components of the hydrological cycle.
The Workshop, organized over three days with plenary oral and poster sessions, aims to bring together scientists working on various aspects of the lake-atmosphere feedbacks and the interaction of lakes with regional and global climate.
The main focus is on the parameterization of lakes in numerical weather prediction (NWP) and climate models. The Workshop is also open to the participation of researchers from neighboring disciplines such as physical limnology, inland water remote sensing, atmospheric physics and hydrology.
The 7th edition of the Workshop will be held in Milan (Italy) from November 20 to 22, 2024. The Milan Workshop continues from the lake-parameterization workshop series that started in Zelenogorsk (Russia, 2008) and was followed by Workshops held in Norrköping (Sweden, 2010), Helsinki (Finland, 2012), Évora (Portugal, 2015), Berlin (Germany, 2017), and Toulouse (France, 2019).
Workshop Topics
The Milan LAKES 2024 Workshop will address the following topics:
- LAKES & ATMOSPHERIC MODELLING: Lake-atmosphere interactions, processes in fresh-water bodies linked to atmospheric forcing, and coupling between lake and atmosphere models.
- MODEL VALIDATION & INTERCOMPARISON: Validation of atmospheric models that incorporate lake parameterization and lake data assimilation schemes, as well as validation of lake models one-way coupled to (forced by) the atmosphere.
- ANCILLARY DATA FOR MODELING LAKES: Use of external datasets available at local to global scale to assist the generation/quality of external-parameter fields required by lake parameterization schemes in atmospheric models, e.g. fields of lake depth and lake fraction.
- NEW FRONTIERS FOR DATA ASSIMILATION FROM REMOTE SENSING: Information on snow, ice, water temperature and water transparency on lakes, reservoirs, and other water bodies from remote sensing to study lake changes and their interaction with regional and global climate.
Abstract Submission
We are excited to invite you to submit abstracts for the upcoming 7th LAKES 2024 Workshop!
Abstracts should be no more than 500 words long and should include a brief overview of the research, the methodology, and the findings. Abstracts must be submitted electronically from 1 September until 30 September 2024. → 1 September until 20 October 2024.
Please note that abstract submission is free of charge and no registration fees is needed to attend the Workshop.
Submission Guidelines:
- Abstract Length: Up to 500 words
- Format: PDF or Word document
- Topics: Select your relevant topic from the provided list
- Presentation Type: Indicate if it is an oral presentation or a poster
Deadline is 30 September 2024. → Abstract submission deadline has been extended! The new deadline for submitting abstracts is 20th October.
Abstract Submission Now Closed – Thank You for Your Contributions!
Acceptance notifications will be sent by October 30th.
* In the case of any issues with uploading files or if you do no able to upload files please let us know sending an email directly to Dr. Claudia Giardino.
Organizing & Scientific Committees
Local host & organizer is the Institute for Electromagnetic Sensing of the Environment of the Italian National Research Council (IREA CNR).
Scientific Board:
- Patrick Le Moigne (Météo France, France)
- Dmitri Mironov (Deutsche Wetterdienst, Germany)
- Homa Kheyrollah Pour (Wilfrid Laurier University, Canada)
- Claude Duguay (University of Waterloo, Canada)
- Laura Carrea (University of Reading, UK)
- Ekaterina Kurzeneva (Finnish Meteorological Institute, Finland)
- Marina Amadori (IREA, National Research Council, Italy)
- Claudia Giardino (IREA, National Research Council, Italy)
Organizing Committee:
- Patrick Le Moigne (Météo France, France)
- Monica Pinardi (IREA, National Research Council, Italy)
- Luigi Lupo (IREA, National Research Council, Italy)
- Lucia Maria Laurenza (IREA, National Research Council, Italy)
Venue
The 7th AKES 2024 Workshop will be held in the Expo room and in the Conference room of the Milan Territorial Research Area 1 (AdRMi1)
Via Alfonso Corti, 12 – 20133 Milan.
The AdRMi1 is reachable from Milan central train station via the Green Line 2 subway (“Piola” or “Lambrate” stop).
The 7th LAKES 2024 Workshop is under the auspices of the AIT (Italian Association of Remote Sensing)
