Thu Dec 12, F.Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Wang, Jielong, Awange, Joseph, Shen, Yunzhong, Yang, Ling, Feng, Tengfei, and Song, Yongze, 2024. Reconstructed centennial precipitation-driven water storage anomalies in the Nile River Basin using RecNet and their suitability for studying ENSO and IOD impacts. Journal of Hydrology, 645:132272, doi:10.1016/j.jhydrol.2024.132272.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024JHyd..64532272W,
author = {{Wang}, Jielong and {Awange}, Joseph and {Shen}, Yunzhong and {Yang}, Ling and {Feng}, Tengfei and {Song}, Yongze},
title = "{Reconstructed centennial precipitation-driven water storage anomalies in the Nile River Basin using RecNet and their suitability for studying ENSO and IOD impacts}",
journal = {Journal of Hydrology},
keywords = {GRACE, Deep learning, Data reconstruction, Nile River Basin, Total water storage anomalies},
year = 2024,
month = dec,
volume = {645},
eid = {132272},
pages = {132272},
abstract = "{While the Gravity Recovery And Climate Experiment (GRACE) and its
Follow-On (GFO) missions have offered valuable observations for
monitoring total water storage anomalies (TWSA), their short
record constrains our ability to study the complete range and
long-term variability of TWSA in the Nile River Basin (NRB).
Previous studies reconstructing TWSA in this region either
relied on specific hydrological models or did not consider
spatial correlations among the TWSA grids. Here, we employ
RecNet, a deep learning model capable of providing independent
TWSA observations without relying on hydrological models while
considering spatial correlations, to reconstruct precipitation-
driven TWSA in the NRB from 1923 to 2022. The reconstructed data
are validated by comparisons with the Global Land Data
Assimilation System (GLDAS), the WaterGAP Global Hydrology Model
(WGHM), the water balance budget, long-term runoff data, and
GRACE-REC (i.e., a global reconstruction dataset freely
available online). Subsequently, the suitability of the
reconstructed data for studying El Ni{\~n}o Southern Oscillation
(ENSO) and Indian Ocean Dipole (IOD) impacts within the NRB is
assessed. Dividing the NRB into four sub-regions, i.e., the Lake
Victoria Basin (LVB), the Bahr el Jebel and Bahr el Ghazal
basins (BJBG), Ethiopian Highlands region (EH), and the Lower
Nile River Basin (LNRB), it is shown that RecNet successfully
reconstructs precipitation-driven TWSA over BJBG and EH,
achieving correlation coefficient (CC), normalized root mean
square error (NRMSE), and Nash{\textendash}Sutcliffeefficiency
(NSE) of 0.94/0.11/0.88 and 0.96/0.09/0.91 during the testing
period, respectively. Additionally, RecNet's reconstruction
shows better agreement with GLDAS and WGHM than GRACE-REC,
correlating well with runoff and the water balance budget in
these regions. The relatively poor performance in the LVB and
LNRB regions could be attributed to the substantial influence of
Lake Victoria and the arid climate, respectively. Correlation
analysis and wavelet coherence analysis identify significant
coherence between ENSO/IOD and the reconstructed TWSA in BJBG
and EH, with CC values of ‑0.68/0.34 and ‑0.82/0.56,
respectively. This study provides centennial reconstructed TWSA
data that could be useful in climate change/variability studies
and water resource management within the NRB.}",
doi = {10.1016/j.jhydrol.2024.132272},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024JHyd..64532272W},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
Generated by
bib2html_grace.pl
(written by Patrick Riley
modified for this page by Volker Klemann) on
Thu Dec 12, 2024 11:52:51
GRACE
Thu Dec 12, F.Flechtner