A century of Sudd wetland's water storage dynamics using reconstructed and downscaled GRACE/GRACE-FO Data

  • Dinuka Kudagama
  • , Joseph Awange
  • , Jielong Wang
  • , Ayalsew Zerihun
  • , Leidy Luna

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Although the Gravity Recovery And Climate Experiment (GRACE) and its Follow-On (GRACE-FO) missions have provided valuable Total Water Storage Anomaly (TWSA) observations for understanding the stored water changes in the Ramser Sudd wetland, their coarse resolution (∼300 km) and relatively short records (<30 years) limit their applicability to study long-term water storage variations over this wetland, one of the largest (tropical) wetlands in the world that has so far received little attention. Random Forest (RF) modeling is used to downscale the Sudd wetland's TWSA from 0.5°to 0.1°for the period 2003–2023 for the evaluation of the short-term TWSA dynamics, whereas the centenary precipitation-driven TWSA product is employed to elucidate the long-term climate impacts on the Sudd wetland's TWSA. Our findings show that the downscaled TWSA exhibits a significant correlation with the Global Land Data Assimilation System (correlation coefficient of 0.72) and the WaterGAP Global Hydrology Model (0.65), indicating its potential utility in climate variability analysis. Time series analysis of precipitation/potential evapotranspiration with the downscaled TWSA reveals a higher influence of precipitation-driven runoff from the upstream sub-basins. Our analysis also shows that El Niño–Southern Oscillation (ENSO) is the predominant climate driver, influencing the Sudd's TWSA in both short-term and long-term periods; however, Indian Ocean Dipole (IOD) is found to augment the effect of ENSO over the wetland. Wavelet coherence analysis identifies significant coherence between climate patterns and the Sudd wetland's TWSA over periods of 8–16 months and 4–7 years, indicating the recurrent and cyclic nature of the ENSO/IOD and their influence on TWSA in the Sudd over time.

Original languageEnglish
Article number100232
JournalScience of Remote Sensing
Volume11
DOIs
Publication statusPublished - Jun 2025

Keywords

  • Climate variability
  • Random forest machine learning
  • Sudd wetland
  • Total water storage anomalies

ASJC Scopus subject areas

  • General Earth and Planetary Sciences
  • Forestry

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