Virtual Workshop on “Connecting global to local hydrological modelling and forecasting: scientific advances and challenges”

Rio Negro and the Solimões River meet to form the Amazon River in Brazil. Image: ESA

Event Organisers: 

Copernicus ECWMF, Copernicus EMS, Hydrological Ensemble Prediction EXperiment (HEPEX), Global Food Partnership

Date: 

29/06/2021 to 01/07/2021

Registration Deadline: 

Tuesday, June 22, 2021

Description: 

From 29 June to 1 July 2021, ECMWF will host a 3-day virtual workshop on Global hydrological modelling and forecasting.

Format

The format of the workshop will be interactive and participants will have the opportunity to connect with people and their work through different sessions. Depending on the number of abstracts and the countries of authors/participants, we are planning to schedule the presentations in two blocks per day to accommodate people working in different time zones as far as possible. We thus envisage a first block of presentations from 9:00 to 11:00 BST and a second block from 16:00 to 18:00 BST.

Daily Agenda

Day 1 aims at presenting and discussing recent advances in global and large-scale hydrological modelling used in water cycle predictions up to medium-range, and in monitoring applications such as regional and global reanalyses. It will discuss the challenges involved in attaining skilful estimations of the water fluxes and reservoirs in the range of 1 to 25 km resolutions, making best use of Earth Observations to calibrate, validate or verify the model output.

Day 2 and 3 will focus on connecting large scale to local needs and decision making, as well as catchment-scale advances in hydrometeorological forecasting, addressing challenges of hydrological ensemble forecasting and monitoring.

Using the same virtual platform, the event will engage and link the wider research and user community through a range of keynote talks, plenary debate Q&A sessions, presentations, and virtual networking activities.

Abstract submission closes on 31 March, 2021.

 

Target Audience: 

Wider research and user community interested in global hydrological modelling and forecasting.

Language of event: 

English

Training type: 

web-based

Hazard Type: 

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