Article
Engineering, Civil
Peng Bai, Changxin Cai
Summary: Remotely sensed evapotranspiration (ET) models are commonly used to estimate ET over large areas, but one challenge is the lack of reliable soil moisture (SM) constraints. In this study, five proxy algorithms for SM constraints were evaluated in China, and it was found that the fdrying algorithm performed the best at flux sites.
JOURNAL OF HYDROLOGY
(2023)
Article
Multidisciplinary Sciences
Emiliano Diaz, Jose E. Adsuara, Alvaro Moreno Martinez, Maria Piles, Gustau Camps-Valls
Summary: This paper introduces a methodology based on causal discovery methods to infer spatial patterns of causal relations between key variables of carbon and water cycles. The proposed methodology addresses the issues of noise levels and variable coupling in convergent cross-mapping (CCM) and combines temporal bootstrapping decision scores with information-geometric causal inference (IGCI) to derive robust and stringent cross-map skill scores.
SCIENTIFIC REPORTS
(2022)
Article
Environmental Sciences
Tamir Kamai, Shmuel Assouline
Summary: The study introduces a novel model to describe the evaporation process from porous media, demonstrating its reliability and predictive capabilities through validation and experiments. The model accounts for soil hydraulic properties and can be used to analyze evaporation under different conditions.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Linjing Qiu, Yuting Chen, Yiping Wu, Qingyue Xue, Zhaoyang Shi, Xiaohui Lei, Weihong Liao, Fubo Zhao, Wenke Wang
Summary: The study found that there was a significant increase in leaf area index (LAI) and evapotranspiration across most regions of the Loess Plateau, but a decrease in the evaporative stress index (ESI) overall. This decrease in ESI was mainly attributed to the increase in LAI rather than climatic influences. Additionally, soil moisture storage showed an increasing trend in the central and eastern parts of the plateau.
Article
Environmental Sciences
Zesu Yang, Qiang Zhang, Yu Zhang, Ping Yue, Liang Zhang, Jian Zeng, Yulei Qi
Summary: As a land-atmosphere coupling hot spot, the northern China climate transition zone exhibits significant spatial and temporal variations in land-atmosphere coupling strength, which are influenced by soil moisture and air temperature.
Article
Environmental Sciences
Wanshu Nie, Sujay Kumar, Rajat Bindlish, Pang-Wei Liu, Shugong Wang
Summary: This study demonstrates the potential of using remotely sensed vegetation and soil moisture observations to constrain irrigation estimation, improving the accuracy of model parameterization and understanding of the spatial patterns of irrigation impact. This has significant implications for water management in data-sparse regions.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Xia Cui, Gang Xu, Xiaofei He, Danqi Luo
Summary: This study investigates the spatiotemporal patterns of vegetation phenology and the influence of soil moisture on vegetation phenology in the Qilian Mountains. The results show that temperature, precipitation, and soil moisture have heterogeneous effects on vegetation phenology, with soil moisture having a stronger influence in lower elevations and water-limited areas.
Article
Environmental Sciences
Hanne Haugen, Olivier Devineau, Jan Heggenes, Kjartan Ostbye, Arne Linlokken
Summary: This study examines the prediction of ground vegetation cover, soil moisture, and pH using remote sensing data, proposing that causal models can improve prediction accuracy and transferability while recommending to focus on causally related variables and include additional variables for testing in quality control studies.
Article
Environmental Sciences
Haonan Liu, Guojie Wang, Daniel Fiifi Tawia Hagan, Yifan Hu, Isaac Kwesi Nooni, Emmanuel Yeboah, Feihong Zhou
Summary: Satellite observations have been used to estimate global and regional soil moisture for the past four decades. This study focuses on improving the accuracy of soil moisture estimates using the land parameter retrieval model (LPRM) by addressing challenges related to open water and vegetation signals. Three improvement schemes were proposed and evaluated using FengYun-3B satellite observations and in situ soil moisture data from China. The results show that each algorithm improved the accuracy of soil moisture inversion to some extent, with the LPRMv6_OWFVeg showing the greatest improvement.
Article
Agronomy
Tiago B. Ramos, Lucian Simionesei, Ana R. Oliveira, Ramiro Neves, Hanaa Darouich
Summary: The success of an irrigation decision support system relies on the reliability of information provided to farmers, which can be validated by remote sensing data. A study in southern Portugal found that hydrological models accurately estimated soil water balance, with remote sensing products complementing this information. This suggests that remote sensing can be a valuable tool in improving irrigation practices for vine crops.
Article
Geography, Physical
Wenbin Zhu, Li Fan, Shaofeng Jia
Summary: This paper proposes a practical framework based on contextual TVX models for continuous estimation of soil moisture and evapotranspiration by combining optical and microwave remote sensing data. The theoretical boundaries of the TVX models were calibrated using an optimization scheme, and microwave satellite data were used to estimate the evaporative fraction.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
Article
Environmental Sciences
Xiaojun Li, Jean-Pierre Wigneron, Frederic Frappart, Gabrielle De Lannoy, Lei Fan, Tianjie Zhao, Lun Gao, Shengli Tao, Hongliang Ma, Zhiqing Peng, Xiangzhuo Liu, Huan Wang, Mengjia Wang, Christophe Moisy, Philippe Ciais
Summary: ESA's SMOS and NASA's SMAP are two L-band radiometer missions providing key information on global surface soil moisture and vegetation water content. This study presents the first global long-term and continuous dataset of soil moisture and L-band vegetation optical depth (VOD) retrieved by merging SMOS and SMAP observations. The results show that the inter-calibration approach effectively removes bias and the merged dataset performs well in terms of detection metrics.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Jorge A. Celis, Hernan A. Moreno, Jeffrey B. Basara, Renee A. McPherson, Michael Cosh, Tyson Ochsner, Xiangming Xiao
Summary: This study utilized dynamic vegetation parameters derived from MODIS imagery and coupled with a physics-based land surface model to predict micro-meteorological, soil-related, and energy flux-related variables. The model showed reasonable predictions for energy fluxes, soil temperature, and moisture, making it a convenient complement to standard weather stations in ungauged sites.
Article
Environmental Sciences
Susan C. Steele-Dunne, Sebastian Hahn, Wolfgang Wagner, Mariette Vreugdenhil
Summary: The study utilized a kernel smoother to estimate coefficients for soil moisture retrieval, distinguishing between their use for backscatter normalization and vegetation correction. Results showed that using the kernel smoother can improve uncertainty caused by interannual variability in vegetation.
Article
Environmental Sciences
Hao Sun, Hao Liu, Yanhui Ma, Qunbo Xia
Summary: This study evaluated thirteen typical optical soil moisture indexes and found that the Visible and Shortwave Infrared Drought Index (VSDI) and Optical TRApezoid Model (OPTRAM) outperformed the other indexes in comparison with observed soil moisture. Both VSDI and OPTRAM utilize two sensitive bands, which may contribute to their superior performance. The study also made improvements to VSDI and OPTRAM to enhance their performance in soil moisture monitoring.
Article
Engineering, Civil
J. A. P. Pollacco, J. Fernandez-Galvez, S. Carrick
JOURNAL OF HYDROLOGY
(2020)
Article
Geochemistry & Geophysics
Maheshwari Neelam, Andreas Colliander, Binayak P. Mohanty, Michael H. Cosh, Sidharth Misra, Thomas J. Jackson
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2020)
Article
Environmental Sciences
Vinit Sehgal, Nandita Gaur, Binayak P. Mohanty
Summary: Understanding the seasonal patterns of global surface soil moisture drydowns is crucial for various applications in hydrology, meteorology, agriculture, and the environment. This study developed a data-driven approach to parameterize the drydown pathways at each SMAP footprint, revealing significant interseasonal variability and the influence of soil texture and climate on soil water retention and drydown parameters. This research represents a significant step towards scale-specific, effective soil hydrologic parameterization for diverse applications.
WATER RESOURCES RESEARCH
(2021)
Article
Water Resources
J. Fernandez-Galvez, J. A. P. Pollacco, L. Lilburne, S. McNeill, S. Carrick, L. Lassabatere, R. Angulo-Jaramillo
Summary: This study focuses on obtaining a unique set of physical bimodal soil Kosugi hydraulic parameters from inverse modeling, by deriving a procedure to reduce the number of optimized parameters and dynamically constraining the hydraulic parameters. The method successfully reduces the parameter count and constraints the hydraulic parameters without compromising the fit of theta(psi) and K(theta) functions, resulting in more physical hydraulic parameters.
ADVANCES IN WATER RESOURCES
(2021)
Article
Geosciences, Multidisciplinary
Zhenlei Yang, Binayak P. Mohanty, Xin Tong, Xingxing Kuang, Ling Li
Summary: The study aimed to predict relative air permeability in disturbed soils by combining traditional and fractal water retention curves with permeability equations. It was found that for disturbed soils, air permeability is mainly controlled by pore tortuosity-connectivity rather than pore size distribution implied from the water retention curves. Choosing an appropriate permeability equation is crucial for accurately predicting relative air permeability.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Engineering, Civil
Iris Vogeler, Sam Carrick, Linda Lilburne, Rogerio Cichota, Joseph Pollacco, Jesus Fernandez-Galvez
Summary: Accurate simulation of soil water dynamics is crucial in agricultural management decisions. This study investigated the range of hydraulic conductivity at field capacity for soils with different drainage characteristics using APSIM with SWIM3. The study found that the value of K-10 significantly impacted the drainage time from saturation to field capacity, while saturated hydraulic conductivity had little effect.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Suraj Jena, Binayak P. Mohanty, Rabindra K. Panda, Meenu Ramadas
Summary: Machine learning algorithms were used to develop a robust model for predicting saturated hydraulic conductivity (Ks) based on eight selected predictors, achieving accurate and cost-effective estimation in this study. The model outperformed existing PTFs both within and outside the study region, marking it as a superior and generalizable PTF for Ks estimation in various parts of the world.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Vinit Sehgal, Nandita Gaur, Binayak P. Mohanty
Summary: Flash droughts are characterized by sudden onset and rapid intensification, and can be assessed in near-real-time using global surface soil moisture data from the SMAP satellite. A new method involving the development of the Flash Drought Stress Index (FDSI) using SMS and RRD parameters shows high skill in forecasting vegetation health.
WATER RESOURCES RESEARCH
(2021)
Article
Water Resources
Suraj Jena, Rabindra Kumar Panda, Meenu Ramadas, Binayak P. Mohanty, Alok Kumar Samantaray, Susanta Kishore Pattanaik
Summary: This study evaluated the temporal variability in depth to groundwater in the State of Odisha, India from 1995 to 2015, identifying both rising and declining trends. Land use/ land cover was found to be the dominant factor influencing groundwater depth variability, highlighting the need for impact assessment studies in locations with significant trends. This approach can greatly contribute to planning and management for achieving groundwater sustainability in data-scarce regions.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Engineering, Civil
Yongchul Shin, Binayak P. Mohanty, Jonggun Kim, Taehwa Lee
Summary: We developed a multi-model approach to simulate soil moisture dynamics, taking into account uncertainties in both physical and optimization model structures. The approach performed well in testing transferability under different weather conditions, but overfitted parameters from the optimization model structures can reduce transferability. Additionally, estimated soil hydraulic properties during dry years may not accurately represent wetness conditions during wet years.
JOURNAL OF HYDROLOGY
(2023)
Article
Agronomy
Deanroy Mbabazi, Binayak P. Mohanty, Nandita Gaur
Summary: This study developed a new algorithm to generate high spatio-temporal (daily 30 m resolution) evapotranspiration (ET) by fusing eddy covariance and Landsat ET data within large agricultural fields. The ETFUSE algorithm was found to be statistically similar to standardized Penman-Monteith ET (ETPM) and spline interpolated alfalfa reference fraction ET (ETRF) for various land covers and growing seasons.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Environmental Sciences
Filippo Miele, Paolo Benettin, Simiao Wang, Ivan Retti, Mitra Asadollahi, Manon Frutschi, Binayak Mohanty, Rizlan Bernier-Latmani, Andrea Rinaldo
Summary: Redox cycles measured through soil redox potential are associated with soil microbial activity. This study investigates the interplay between soil moisture and redox potential dynamics by manipulating hydrologic and geochemical conditions in soil column installations. The findings highlight the importance of understanding joint hydrologic flow/transport and redox processes in predicting redox potential changes and the minimum amount of biogeochemistry needed for characterizing electron donors/acceptors responsible for redox patterns. The study's results improve our understanding of how and where activity hotspots develop within soil microbial communities.
WATER RESOURCES RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
M. Hong, B. P. Mohanty
Summary: This study aims to present a novel hydrologic structure that enables the application of hydraulic groundwater theory to large-scale hydrologic predictions. By integrating the BE3S representation scheme into the National Water Model and applying it to three major basins in Texas, noticeable improvements in streamflow predictions were observed for aquifers with higher nonlinearities. This demonstrates the enhancement of subsurface hydrology and the applicability of the Boussinesq theory-based depiction of the stream-hillslope continuum.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2023)
Article
Geosciences, Multidisciplinary
Laurent Lassabatere, Pierre-Emmanuel Peyneau, Deniz Yilmaz, Joseph Pollacco, Jesus Fernandez-Galvez, Borja Latorre, David Moret-Fernandez, Simone Di Prima, Mehdi Rahmati, Ryan D. Stewart, Majdi Abou Najm, Claude Hammecker, Rafael Angulo-Jaramillo
Summary: This study proposes a mixed formulation that can quantify the infiltration of water into soils. The formulation is robust and well-suited to various hydraulic functions and boundary conditions, overcoming the numerical difficulties in the previous formulation.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Laurent Lassabatere, Pierre-Emmanuel Peyneau, Deniz Yilmaz, Joseph Pollacco, Jesus Fernandez-Galvez, Borja Latorre, David Moret-Fernandez, Simone Di Prima, Mehdi Rahmati, Ryan D. Stewart, Majdi Abou Najm, Claude Hammecker, Rafael Angulo-Jaramillo
Summary: This paper presents a procedure for computing sorptivity using a scaling parameter, c(p), for different scenarios. The c(p) parameter was numerically and analytically computed for five hydraulic models, leading to the proposal of new analytical expressions and validation of previous formulations. The results underscore the importance of carefully selecting the proper model for estimating sorptivity.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)