Assessing water storage variations in La Plata basin and sub-basins from GRACE, global models data and connection with ENSO events

ABSTRACT

The La Plata basin is one of the largest river basins in the world, draining about a fifth of the South American continent. It is a system of great hydrological significance, sensitive to extreme events, and also has the most economic development in the region. This work analyses the total water storage (TWS) changes over the La Plata basin from the GRACE (Gravity Recovery And Climate Experiment) mission and compares it with TRMM (Tropical Rainfall Measuring Mission) rainfall data. Subsequently, a study was conducted on the main sub-basins for the period 2003 to 2017 to identify regional-scale variations in TWS. Precipitation and GLDAS (Global Land Data Assimilation System) runoff data was evaluated in these areas, along with their connections to ENSO (El Niño Southern Oscillation) episodes. The results suggest that the majority of TWS variations are associated with extreme climatic events, such as the 2009 drought, and are linked to ENSO periods. The statistical analysis indicates a significant correlation between severe Niño/Niña episodes and changes in TWS in the sub-basins.

KEYWORDS:

• terrestrial water storage
• La Plata basin
• GRACE
• GLDAS
• ENSO
• rainfall
• satellite data
• climate variability
• large catchments

Editor K. Soulis; Associate Editor E. Hassanzadeh

Editor K. Soulis; Associate Editor E. Hassanzadeh

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that supports the findings of this study is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) at https://disc.gsfc.nasa.gov, and from the Center for Space Research, Texas University (CSR) at https://www2.csr.utexas.edu/grace.

Additional information

Funding

This work was partially supported by Universidad Nacional de Rosario (UNR) under the project 800-201903-0086UR and by Fondo para la Investigación Científica y Tecnológica (FONCyT) under the project PICT-2021-GRF-TI-00538.