Results 91 to 100 of about 2,165 (214)

A GNSS Terrestrial Water Storage Inversion Method Based on GRACE Spatial Constraints

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The Laplace smoothing operator is used to constrain the relationship between the target grid and neighboring grids in the terrestrial water storage (TWS) inversion using global navigation satellite system (GNSS) observations. We propose an enhancement to
Bin Liu, Chenghao Shan, Weilong Rao, Xueming Xing, Jianbo Tan, Yabo Luo   +5 more
doaj   +1 more source

Can a Persistence‐Based Prediction of GRACE Gravity Field Coefficients Reduce Uncertainties at Finer Temporal Scales?

Earth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Enhancing the applicability of Gravity Recovery and Climate Experiment (GRACE) products poses challenges due to the trade‐off between the temporal and the spatial resolution within limits posed by the mission design. If a Kalman filter framework was adopted to characterize the relationship between monthly and finer temporal scales, it could ...
D. Kankanige, B. D. Vishwakarma, Y. Y. Liu, A. Sharma   +3 more
wiley   +1 more source

Monitoring Groundwater Variations from Satellite Gravimetry and Hydrological Models: A Comparison with in-situ Measurements in the Mid-Atlantic Region of the United States

Remote Sensing, 2015
Aimed at mapping time variations in the Earth’s gravity field, the Gravity Recovery and Climate Experiment (GRACE) satellite mission is applicable to access terrestrial water storage (TWS), which mainly includes groundwater, soil moisture (SM), and snow.
Ruya Xiao, Xiufeng He, Yonglei Zhang, Vagner G. Ferreira, Liang Chang   +4 more
doaj   +1 more source

ENSO-induced groundwater changes in India derived from GRACE and GLDAS

Journal of Earth System Science, 2019
This study aims to quantify the interannual variations of groundwater storage changes (GWSCs) over India. GWSCs are derived from the gravity recovery and climate experiment (GRACE) and global land data assimilation system (GLDAS)-Noah life safety model (LSM) for the period 2003–2015.
Vissa, N., Anandh, P., Behera, M., Mishra, S.   +3 more
openaire   +4 more sources

Using of GLDAS database and Open Source tools in soil moisture research [PDF]

, 2012
GLDAS (ang. Global Land Data Assimilation System) jest globalną bazą danych, udostępniającą swoje zasoby publicznie i bez konieczności ponoszenia dodatkowych opłat przez użytkownika.
Zawadzki, J., Kędzior, M., Przeździecki, K   +2 more
core  

A High-Resolution (0.25 degree) Historical Global Gridded Dataset of Climate Extreme Indices (1970-2016) using GLDAS data

, 2019
Users are recommended to consult the author (malcolm.mistry@unive.it / malmistry1977@gmail.com) for an updated version which includes more recent years.
Mistry, Malcolm Noshir, Malcolm Noshir Mistry (7044215)   +1 more
core   +1 more source

Utilization of the Google Earth Engine for the evaluation of daily soil temperature derived from Global Land Data Assimilation System in two different depths over a semiarid region

Meteorological Applications
The Google Earth Engine (GEE) was used to investigate the performance of the Global Land Data Assimilation System (GLDAS) soil temperature (ST) data against observed ST from 13 synoptic stations over a semiarid region in Iran.
Abolghasem Akbari, Majid Rajabi Jaghargh, Azizan Abu Samah, Jonathan Peter Cox, Mojtaba Gholamzadeh, Alireza Araghi, Patricia M. Saco, Khabat Khosravi   +7 more
doaj   +1 more source

Refining GNSS-based water storage estimation: Improved hydrological signal extraction using principal component analysis

Geodesy and Geodynamics
The Global Navigation Satellite System (GNSS) is vital for monitoring terrestrial water storage (TWS). However, effectively extracting hydrological load deformation from GNSS observations poses a significant challenge.
Jiaxiang Tian, Yulong Zhong, Yingchun Shen, Kaijun Yang, Hongbing Bai, Fan Lei, Changqing Wang   +6 more
doaj   +1 more source

Evaluating the Performance of Satellite-Derived Soil Moisture Products Across South America Using Minimal Ground-Truth Assumptions in Spatiotemporal Statistical Analysis

Remote Sensing
South America (SA) features diverse land cover types and varied climate conditions, both of which significantly influence the variability of soil moisture (SMO).
B. G. Mousa, Alim Samat, Hong Shu
doaj   +1 more source

Determining seasonal displacements of Earth’s crust in South America using observations from space-borne geodetic sensors and surface-loading models

Earth, Planets and Space, 2019
There are small pieces of evidence, suggesting that South America’s hydrological cycle is changing, which impacts its water availability and, consequently, the Earth’s surface due to its elastic response to the surface mass loading/unloading.
Vagner G. Ferreira, Henry D. Montecino, Christopher E. Ndehedehe, Rodrigo A. del Rio, Aharon Cuevas, Silvio R. C. de Freitas   +5 more
doaj   +1 more source