Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Ukasha, Muhammad, Ramirez, Jorge A., and Niemann, Jeffrey D., 2025. Detection and characterization of scale-invariant behaviour and stochastic downscaling of terrestrial water storage anomalies from GRACE and GPS. International Journal of Remote Sensing, 46(4):1543–1573, doi:10.1080/01431161.2024.2433752.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025IJRS...46.1543U,
author = {{Ukasha}, Muhammad and {Ramirez}, Jorge A. and {Niemann}, Jeffrey D.},
title = "{Detection and characterization of scale-invariant behaviour and stochastic downscaling of terrestrial water storage anomalies from GRACE and GPS}",
journal = {International Journal of Remote Sensing},
keywords = {TWSA, scale-invariance, multifractal, fractal analysis, downscaling, stochastic},
year = 2025,
month = feb,
volume = {46},
number = {4},
pages = {1543-1573},
abstract = "{Gravity Recovery and Climate Experiments (GRACE) based terrestrial water
storage anomalies (TWSA) are used to characterize large-scale
hydrology and to estimate regional groundwater depletion around
the globe. Due to their 0.25{\textdegree} resolution, GRACE TWSA
do not capture fine-resolution variations in TWSA and can miss
the extreme TWSA values within a region. This study aims to
develop a stochastic downscaling method that relies only on TWSA
data and generates realistic statistical properties of fine
resolution (0.0625{\textdegree}) TWSA patterns. It is
hypothesized that TWSA are scale invariant, which allows the
statistical properties of fine scale variations to be inferred
from those of coarse scale variations. Three study regions are
considered including the Central Amazon in Brazil, the Sindh
province in Pakistan, and a region around California, U.S.A. For
each region, the relationships between the TWSA moments and the
spatial resolution are examined for resolutions between
0.25{\textdegree} and 4{\textdegree}. Nonlinear relationships
between scaling exponents and the moment orders indicate that
multifractality occurs for the three regions, but the
multifractality differs between the three regions and between
wet and dry conditions. Based on these results, a multiplicative
random cascade model is developed to downscale the TWSA. When
the model is used to downscale to 0.0625{\textdegree}, it can
produce wider ranges of TWSA within the region than the coarse
resolution input.}",
doi = {10.1080/01431161.2024.2433752},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025IJRS...46.1543U},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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Mon Oct 13, F. Flechtner