Article
Agronomy
Lucas E. B. Hoeltgebaum, Nelson Luis Dias
Summary: A thorough understanding of water budget components, specifically evapotranspiration and storage in the watershed, is crucial for effective water resources management and hydrological modeling. This study analyzes 13 years of hydrological data from two agricultural watersheds in Eastern Nebraska, United States to examine various aspects of the water budget, including water-and energy-balance closures, water budget residues, storage in soil layers, and evapotranspiration estimates. Remote-sensing data is also used to assess spatial variability in net radiation and soil moisture. The study finds that adjusting measured evapotranspiration to close the energy budget aligns with water budget estimates, and storage calculations using soil moisture and recession analysis produce the most accurate evapotranspiration estimates.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Agronomy
Amir Haghverdi, Amninder Singh, Anish Sapkota, Maggie Reiter, Somayeh Ghodsi
Summary: The three-year irrigation trial evaluated hybrid bermudagrass response to different irrigation scenarios and the effectiveness of an ET-based smart controller in inland southern California. Results showed significant impact of irrigation levels on NDVI values, while irrigation frequency restrictions had no effect. The TWRF model accurately estimated NDVI values and showed high correlation with measured values.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Environmental Sciences
Caijin Zhang, Di Long
Summary: The estimation of irrigation water use (IWU) is crucial for assessing water use efficiency and optimizing water resource allocation. Remote sensing technology and model-based variables were used to derive IWU estimates, showing a reliable result compared to reported data and revealing trends of increase and decrease in IWU across the CONUS from 2000 to 2020.
WATER RESOURCES RESEARCH
(2021)
Review
Environmental Sciences
Christian Massari, Sara Modanesi, Jacopo Dari, Alexander Gruber, Gabrielle J. M. De Lannoy, Manuela Girotto, Pere Quintana-Segui, Michel Le Page, Lionel Jarlan, Mehrez Zribi, Nadia Ouaadi, Mariette Vreugdenhil, Luca Zappa, Wouter Dorigo, Wolfgang Wagner, Joost Brombacher, Henk Pelgrum, Pauline Jaquot, Vahid Freeman, Espen Volden, Diego Fernandez Prieto, Angelica Tarpanelli, Silvia Barbetta, Luca Brocca
Summary: Irrigation is a significant human intervention in the terrestrial water cycle, crucial for modeling irrigation water requirements and assessing the impact of irrigation on regional climate, river discharge, and groundwater depletion. This review explores existing technologies for irrigation mapping and quantification, highlighting current shortcomings and proposing guidelines for future satellite missions and observation strategies based on user requirements.
Article
Agronomy
Ruth Kerry, Ben Ingram, Keegan Hammond, Samantha R. Shumate, David Gunther, Ryan R. Jensen, Steve Schill, Neil C. Hansen, Bryan G. Hopkins
Summary: Smart sprinkler systems can reduce irrigation water waste, but more research is needed to determine the most appropriate variables for spatial irrigation zones. This study used ground and drone surveys to develop zones based on various variables. Errors associated with different spatial zone configurations were assessed to determine improvements in irrigation efficiency. Results suggest that zones based on soil moisture surveys and simple observations of wet or dry grass are more effective than other variables and combinations. Periodic re-evaluation of the zones is recommended due to temporal variations.
Article
Agronomy
Suat Irmak, Dilshad Brar, Meetpal S. Kukal, Lameck Odhiambo, Koffi Djaman
Summary: Effective agricultural water management requires accurate and transparent accounting of water use. Advances in technology can help collect and analyze real-time data to understand irrigators' practices, crop water requirements, and water use. This research found that actual irrigation applications exceeded irrigation requirements, highlighting the need for irrigation water management technology and educational programs. Real-time monitoring of farm-level irrigation dynamics can be achieved using new technologies, enabling better planning and management of limited water resources.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Agronomy
Suat Irmak, Dilshad Brar, Meetpal S. Kukal, Lameck Odhiambo, Koffi Djaman
Summary: Effective agricultural water management requires accurate accounting of water use, with sensor technologies and data analytics aiding in monitoring and managing irrigation systems. The research shows that actual irrigation applications exceed requirements, indicating the need for irrigation water management technology and educational programs to be implemented.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Meteorology & Atmospheric Sciences
Mingxing Li, Peili Wu, Zhuguo Ma, Zhihua Pan, Meixia Lv, Qing Yang, Yawen Duan
Summary: This study investigates the changes in soil moisture loss pathways in China and finds that the ratio of vegetation transpiration to soil evaporation has generally increased across the country, implying the potential of regional greening and the risks of droughts.
JOURNAL OF HYDROMETEOROLOGY
(2022)
Article
Environmental Sciences
Sonam Sandeep Dash, Bhabagrahi Sahoo, Narendra Singh Raghuwanshi
Summary: This study integrates an improved pothole methodology in the SWAT model to accurately estimate evapotranspiration under different crop-growth phases. The results show that the proposed SWAT-EP model outperforms the existing SWAT-P model in simulating catchment-scale streamflow and evapotranspiration.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Agronomy
Liming Zhu, Huifeng Wu, Min Li, Chaoyin Dou, A-Xing Zhu
Summary: Accurate irrigation water-use data are crucial for agricultural water resources management and allocation. However, effectively identifying regional irrigation water use remains a challenge due to ground cover obscuration and subjective decision-making processes. This study aims to improve the estimation of irrigation water use in drylands by utilizing irrigation signals from SMAP soil moisture data.
Article
Engineering, Civil
Sonam Sandeep Dash, Bhabagrahi Sahoo, Narendra Singh Raghuwanshi
Summary: This study evaluates the usability of different indirect ET estimation methods for catchment-scale drought and irrigation planning, revealing discrepancies in the estimation results. It shows that the VIC-3L model may significantly overestimate ET, while the MOD16A2 product provides relatively more accurate estimates.
JOURNAL OF HYDROLOGY
(2021)
Article
Biodiversity Conservation
Yusong Wang, Yonge Zhang, Xinxiao Yu, Guodong Jia, Ziqiang Liu, Libo Sun, Pengfei Zheng, Xuhui Zhu
Summary: The study revealed that soil above 60 cm is the main water consumption area while below is the main water storage area; the 80-100 cm layer responds to precipitation with a delay of 263 hours. Soil moisture fluctuations are closely correlated with potential and actual evapotranspiration.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Cristian Stefan Dumitriu, Alina Barbulescu, Carmen Elena Maftei
Summary: In this article, a new user-friendly tool called IrrigTool is proposed for assessing the irrigation rate considering several factors such as precipitation, temperature, evapotranspiration, soil type, and crop. The tool implements the Thornthwaite equations and provides graphical representation and comparison of the results.
Article
Agronomy
Hongzheng Shen, Yan Gao, Fangchen Guo, Yue Wang, Xiaoyi Ma
Summary: Plastic film mulching is an effective agronomic measure for increasing crop yield, and the decision support system for agricultural technology transfer (DSSAT) model was modified in this study to better simulate crop growth under film mulching conditions. The improved model showed an increase in simulation accuracy for summer maize and soil water content, demonstrating the effectiveness of the proposed method in this paper.
Article
Environmental Sciences
Mangesh M. Goswami, Milind Mujumdar, Bhupendra Bahadur Singh, Madhusudan Ingale, Naresh Ganeshi, Manish Ranalkar, Trenton E. Franz, Prashant Srivastav, Dev Niyogi, R. Krishnan, S. N. Patil
Summary: This study investigates the soil water dynamics in the core monsoon zone of India by analyzing the observations of soil moisture. The research reveals that lower soil moisture is associated with depleted convective activity and higher temperatures during the pre-monsoon season, while monsoon rains increase soil moisture. The study highlights the importance of surface-subsurface soil moisture observations in unraveling the complexity of soil water dynamics.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Engineering, Environmental
Jessica M. Erlingis, Matthew Rodell, Christa D. Peters-Lidard, Bailing Li, Sujay V. Kumar, James S. Famiglietti, Stephanie L. Granger, John V. Hurley, Pang-Wei Liu, David M. Mocko
Summary: WLDAS is a customized instance of the NASA Land Information System that combines land surface parameters, meteorological data, and satellite products to estimate water and energy budgets for the western United States on a daily basis. It was specifically configured to support groundwater sustainability planning in California and is useful for water resource assessments and contextualizing recent drought events. Additionally, future releases of WLDAS will include assimilation of Leaf Area Index to improve simulations over agricultural areas in California.
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
(2021)
Article
Multidisciplinary Sciences
Xander Huggins, Tom Gleeson, Matti Kummu, Samuel C. Zipper, Yoshihide Wada, Tara J. Troy, James S. Famiglietti
Summary: This research focuses on the impacts of freshwater stress and storage loss on social and ecological systems. It finds that basins with existing freshwater stress are experiencing increasing drought, posing challenges to water stressed basins globally. By mapping the global gradient of social-ecological vulnerability to freshwater stress and storage loss, 168 hotspot basins are identified as the most vulnerable, encompassing over 1.5 billion people, 17% of global food crop production, 13% of global gross domestic product, and hundreds of significant wetlands. Reducing vulnerability in these hotspot basins can bring significant social and ecological benefits.
NATURE COMMUNICATIONS
(2022)
Article
Water Resources
Saman Razavi, David M. Hannah, Amin Elshorbagy, Sujay Kumar, Lucy Marshall, Dimitri P. Solomatine, Amin Dezfuli, Mojtaba Sadegh, James Famiglietti
Summary: Machine learning applications in Earth and environmental sciences have evolved separately from traditional process-based modeling paradigms. Overcoming cultural barriers and exploring the strengths and weaknesses of both approaches are essential for developing a coevolutionary approach to model building.
HYDROLOGICAL PROCESSES
(2022)
Article
Environmental Sciences
Z. Zhang, F. Chen, M. Barlage, L. E. Bortolotti, J. Famiglietti, Z. Li, X. Ma, Y. Li
Summary: This study aims to dynamically represent the spatial extents and hydrological processes of wetlands in the Prairie Pothole Region (PPR) and investigate their feedback to regional climate. The wetland simulations show a cooling effect on summer temperatures, especially in areas with high wetland coverage.
WATER RESOURCES RESEARCH
(2022)
Review
Environmental Sciences
Kyra H. Adams, John T. Reager, Paul Rosen, David N. Wiese, Tom G. Farr, Shanti Rao, Bruce J. Haines, Donald F. Argus, Zhen Liu, Ryan Smith, James S. Famiglietti, Matthew Rodell
Summary: Groundwater is a critical natural resource affected by natural changes and human demand. This study reviews remote sensing techniques, including gravity measurements and analysis of Earth surface height changes, for groundwater monitoring and assessment.
WATER RESOURCES RESEARCH
(2022)
Article
Multidisciplinary Sciences
Pang-Wei Liu, James S. Famiglietti, Adam J. Purdy, Kyra H. Adams, Avery L. McEvoy, John T. Reager, Rajat Bindlish, David N. Wiese, Cedric H. David, Matthew Rodell
Summary: Groundwater plays a crucial role in irrigation, but its management is lacking in many regions. The depletion rate of groundwater in California's Central Valley has been accelerating since 2003, highlighting the need for expedited implementation of groundwater management to ensure availability during future droughts.
NATURE COMMUNICATIONS
(2022)
Article
Geosciences, Multidisciplinary
Xander Huggins, Tom Gleeson, Juan Castilla-Rho, Cameron Holley, Viviana Re, James S. Famiglietti
Summary: Groundwater resources are connected with various systems such as social, economic, ecological, and Earth systems. A new framing called groundwater-connected systems is introduced to better understand the complexity of these connections in terms of data collection, scientific investigations, governance, and education. This framing allows for a holistic approach to studying the interactions between groundwater and social-ecological systems, emphasizing the importance of integrating multiple perspectives and goals to achieve groundwater sustainability.
Article
Environmental Sciences
Chinchu Mohan, Tom Gleeson, Tara Forstner, James S. S. Famiglietti, Inge de Graaf
Summary: The importance of ecosystem services in water resources management has led to a focus on environmental-flows requirements for moving waters. However, current management practices often overlook the contribution of groundwater and fail to consider its importance in environmental flows. This study presents two methods for estimating groundwater environmental flow contributions, one based on groundwater and the other on surface water. The methods were tested in British Columbia, Canada and showed comparable results, suggesting their potential applicability in data-scarce, hydrologically complex landscapes globally.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Li Xu, James S. Famiglietti
Summary: Environmental change, especially water crises, is a crucial driver of human migration, particularly in vulnerable regions and low- and middle-income countries. However, the interconnected patterns between water-related events and migration are not yet fully understood. This study combines quantitative text-mining with qualitative thematic analysis to explore these patterns and identifies four major patterns of water-driven migration: water quantity variability, damaging water hazards, physical disturbances to water systems, and water pollution. Understanding the dynamics of water-migration requires considering the interconnections between water changes and migration patterns, investigating the interactions between different water variables and socioeconomic factors, developing an integrated water-migration database for early-warning signals, and implementing targeted water policies to enhance resilience in climate-vulnerable regions and populations.
WILEY INTERDISCIPLINARY REVIEWS-WATER
(2023)
Article
Environmental Sciences
Grant Ferguson, Jennifer C. C. McIntosh, Scott Jasechko, Ji-Hyun Kim, James S. S. Famiglietti, Jeffrey J. J. McDonnell
Summary: Groundwater, although being one of the largest reservoirs of water on Earth, has small fluxes compared to its volume. Deep groundwater (>500 m) is only weakly and sporadically connected to the rest of the terrestrial water cycle, contributing <0.1% to global streamflow. However, it plays a significant role in the global chloride cycle, providing around 7% of the flux of chloride to the ocean.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)
Article
Engineering, Civil
Li Xu, David Ferris, Xander Huggins, Jefferson S. Wong, Chinchu Mohan, Sara Sadri, Hrishikesh A. Chandanpurkar, Palash Sanyal, James S. Famiglietti
Summary: Managing groundwater is difficult due to its underground existence. The GRACE tool provides an opportunity for monitoring groundwater storage, but linking scientific research to policymaking and groundwater practices is limited. This paper aims to improve the use of GRACE data for sustainable groundwater management through a Delphi survey collecting opinions from academic and non-academic communities. The survey reveals the potential and willingness of both communities to collaborate and suggests recommendations for better application of GRACE data.
JOURNAL OF HYDROLOGY
(2023)
Review
Environmental Sciences
Bridget R. Scanlon, Sarah Fakhreddine, Ashraf Rateb, Inge de Graaf, Jay Famiglietti, Tom Gleeson, R. Quentin Grafton, Esteban Jobbagy, Seifu Kebede, Seshagiri Rao Kolusu, Leonard F. Konikow, Di Long, Mesfin Mekonnen, Hannes Mueller Schmied, Abhijit Mukherjee, Alan MacDonald, Robert C. Reedy, Mohammad Shamsudduha, Craig T. Simmons, Alex Sun, Richard G. Taylor, Karen G. Villholth, Charles J. Vorosmarty, Chunmiao Zheng
Summary: This review discusses the threats to water resources from human activities and climate variability, and explores ways to enhance resilience through green and grey solutions. The article evaluates the current and historical trends in water storage and availability, considering surface water and groundwater as interconnected resources. Diversifying management strategies, such as preserving forests and wetlands and increasing water supplies and storage, can help build a resilient water system.
NATURE REVIEWS EARTH & ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Chinchu Mohan, Tom Gleeson, James S. Famiglietti, Vili Virkki, Matti Kummu, Miina Porkka, Lan Wang-Erlandsson, Xander Huggins, Dieter Gerten, Sonja C. Jaehnig
Summary: The degradation of freshwater ecosystems worldwide has resulted in a need to maintain environmental flow in river networks. While the relationship between streamflow alterations and freshwater biodiversity response is well established at small scales, it remains unclear at larger scales. This study explores the relationship between environmental flow violation and freshwater biodiversity at global and regional scales, finding no statistically significant negative correlation. These findings highlight the need for a comprehensive approach in determining environmental flows.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Sara Sadri, James S. Famiglietti, Ming Pan, Hylke E. Beck, Aaron Berg, Eric F. Wood
Summary: This study developed FarmCan, a remote sensing and machine learning framework that accurately predicts daily crop water quantity or irrigation demand. The case study on four farms in Canada showed that precipitation had the highest correlation with changes in soil moisture. The algorithm successfully predicted daily irrigation demand up to 14 days in advance, with high accuracy during the experimental period from 2015 to 2020.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Tom Gleeson, Thorsten Wagener, Petra Doell, Samuel C. Zipper, Charles West, Yoshihide Wada, Richard Taylor, Bridget Scanlon, Rafael Rosolem, Shams Rahman, Nurudeen Oshinlaja, Reed Maxwell, Min-Hui Lo, Hyungjun Kim, Mary Hill, Andreas Hartmann, Graham Fogg, James S. Famiglietti, Agnes Ducharne, Inge de Graaf, Mark Cuthbert, Laura Condon, Etienne Bresciani, Marc F. P. Bierkens
Summary: The article emphasizes the importance of continued modeling at both large-scale and regional-scale levels when it comes to groundwater models. It discusses evaluation methods for large-scale groundwater models, suggesting a combination of observation-based, model-based, and expert-based approaches. The article also encourages greater communication and cooperation among global hydrology and land surface modelers, local to regional hydrogeologists, and hydrologists focused on model development and evaluation to improve the representation of groundwater in large-scale models.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2021)
