EGU25-11436, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-11436
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Friday, 02 May, 11:00–11:10 (CEST)
 
Room C
The River Discharge Climate Change Initiative precursor project
Sylvain Biancamaria1, Laetitia Gal, and the CCI River Discharge*
Sylvain Biancamaria and Laetitia Gal and the CCI River Discharge
  • 1LEGOS, Toulouse, France (sylvain.biancamaria@univ-tlse3.fr)
  • *A full list of authors appears at the end of the abstract

The Global Climate Observing System (GCOS) identifies river discharge as an Essential Climate Variable (ECV), critical for understanding climate dynamics and managing water resources (GCOS, 2022). However, no satellite instrument currently exists to directly measure river discharge, which must instead be estimated indirectly. The ESA River Discharge Climate Change Initiative (CCI) precursor project (https://climate.esa.int/en/projects/river-discharge/) addresses this challenge by developing innovative methodologies based on satellite remote sensing data.

Four complementary approaches are being explored: (1) the use of long-term satellite radar altimeter time series of water surface elevations, combined with rating curves to estimate discharge; (2) The use of satellite imagery data to obtain river width, combined with rating curves to estimate discharge; (3) multispectral sensor data in the near-infrared (NIR) band, used to analyze river flow variability through the reflectance ratio between wet and dry pixels; and (4) a hybrid approach combining these two techniques. Radar altimeters offer the advantage of weather-independent measurements, while multispectral sensors provide higher temporal resolution but are limited by cloud cover.

This proof-of-concept study focuses on 54 locations across 18 river basins, spanning 2002–2022. The sites represent a variety of climatic zones, drainage areas (from 50,000 km² to the Amazon basin), levels of human activity, and availability of in situ data. The project showcases the potential for satellite-based global river discharge estimation, validated through comparisons with on-the-ground measurements.

This presentation will outline the methodologies employed, the computed discharge time series along with their validation during the first Phase of this precursor project (2023-2024), the objectives for the second phase, which has just started, and the progress achieved.

CCI River Discharge:

S. Biancamaria 1, L. Gal 2, A. Andral 3, M. Boussaroque 1,2, O. Elmi 7, P. Filippucci 4, G. Larnicol 5, B. Kitambo 2, J. Lefebve 2, S. Munier 6, G. Noual 6, F. Papa 2, A. Paris 1,2, V. Pedinotti 5, D. Prasad Sahoo 4, M. Sadki 5, P. Saemian 7, N. Taburet 3, A. Tarpanelli 4, M. J. Tourian 7, Vayre 3, E. Zakharova 8,2, C. Albergel 9 - Affiliations: 1LEGOS, Toulouse, France; 2Hydro Matters, Le Faget, France; 3CLS, Ramonville Saint-Agne, France; 4CNR-IRPI, Italy; 5Magellium, France; 6CNRM, Toulouse, France; 7University of Stuttgart, Stuttgart, Germany; 8EOLA, Toulouse, France; 9ESA-ESCAT, Harwell, United-Kingdom

How to cite: Biancamaria, S. and Gal, L. and the CCI River Discharge: The River Discharge Climate Change Initiative precursor project, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-11436, https://doi.org/10.5194/egusphere-egu25-11436, 2025.