Article
Geochemistry & Geophysics
Orkun Temel, Ozgur Karatekin, Michael A. Mischna, Cem Berk Senel, German Martinez, Elodie Gloesener, Tim Van Hoolst
Summary: The study shows that the evaporation rate of liquid solutions on Mars is significantly influenced by seasonal changes and near-surface winds, with variations of up to a factor of 3 observed seasonally. Additionally, the evaporation rate can change by two orders of magnitude depending on surface elevation and terrain properties.
JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS
(2021)
Article
Meteorology & Atmospheric Sciences
Estefania Montoya Duque, Frank Lunkeit, Richard Blender
Summary: In this study, the influence of North Atlantic midwinter storm track suppressions on European synoptic temperature and precipitation anomalies are analyzed. Strong jet stream years are defined as exceeding 75% of winter seasonal values at 250 hPa. Winters with strong jet activity show storm track suppression, leading to warmer conditions in Central Europe and the British Isles, cooler temperatures in Northern Europe, and increased precipitation in the Mediterranean region during a 1-month period from December 15 to January 15.
THEORETICAL AND APPLIED CLIMATOLOGY
(2021)
Article
Multidisciplinary Sciences
Dirk Olonscheck, Andrew P. Schurer, Lucie Luecke, Gabriele C. Hegerl
Summary: Global warming is expected to increase year-to-year temperature variability, with large changes in tropical land and substantial decreases in high latitudes. This pattern is consistent with loss of sea ice in high latitudes and changes in vegetation cover in the tropics.
NATURE COMMUNICATIONS
(2021)
Article
Meteorology & Atmospheric Sciences
Anna Carolina Bazzanela, Claudine Dereczynski, Wanderson Luiz-Silva, Pedro Regoto
Summary: This work evaluates the ability of 28 CMIP6 models to represent the South American climate during the reference period and finds that some models perform poorly in representing specific systems, with most models overestimating the intensity of the subtropical and polar jets.
Article
Engineering, Aerospace
N. Mridula, G. Manju, S. Sijikumar, Tarun Kumar Pant, Raj Kumar Choudhary
Summary: This study investigates the response of the ionosphere in the Indian region to extreme space weather events using GPS measurements, simulations, and radar observations. The findings show changes in ionospheric parameters and the generation of irregularities during the storm, highlighting the role of thermosphere ionosphere coupling in modulating ionization variability during extreme geomagnetic forcing.
ADVANCES IN SPACE RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Theodoros Katopodis, Iason Markantonis, Diamando Vlachogiannis, Nadia Politi, Athanasios Sfetsos
Summary: This study assessed the projected climatic changes in wind characteristics in Greece using the WRF model, finding significant increases in mean wind speeds and wind energy density. The variations in different parameters across regions indicate that Greece will be affected by climate change, especially in the north and central-western Aegean region and Crete.
Article
Meteorology & Atmospheric Sciences
James A. Carton, Gennady A. Chepurin
Summary: This paper introduces a new Regional Arctic Ocean/sea ice Reanalysis (RARE) system, which uses sequential data assimilation to constrain temperature and salinity using various data sources. It shows that increasing the resolution of the reanalysis system improves agreement with observations, enhancing currents, eddy kinetic energy, and heat and salt transports.
JOURNAL OF CLIMATE
(2023)
Article
Meteorology & Atmospheric Sciences
Marijn van der Meer, Sophie de Roda Husman, Stef Lhermitte
Summary: This study assesses the potential of using a cost-efficient machine learning alternative to dynamical downscaling in regional climate models (RCMs). The results show that a deep learning RCM-emulator can learn the proper GCM to RCM downscaling function while working directly with GCM data, and it presents a significant computational gain compared to an RCM simulation.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2023)
Article
Meteorology & Atmospheric Sciences
Marina Baldissera Pacchetti, Suraje Dessai, Seamus Bradley, David A. Stainforth
Summary: This study introduces an analytical framework for assessing the quality of science-based statements and estimates about future climate, focusing on local and regional climate at decadal and longer time scales. Key dimensions for assessing the quality of regional climate information include diversity, completeness, theory, adequacy for purpose, and transparency.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2021)
Article
Geosciences, Multidisciplinary
Eleonora Dallan, Francesco Marra, Giorgia Fosser, Marco Marani, Giuseppe Formetta, Christoph Schar, Marco Borga
Summary: High-resolution convection-permitting models (CPMs) are crucial for estimating future short-duration extreme precipitation in mountainous regions. However, recent observational studies indicate that extreme hourly precipitation tends to decrease with elevation, which may be related to subgrid processes not fully simulated by CPMs. To evaluate the reliability of CPM projections, it is important to understand their ability to capture this reverse orographic effect.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Review
Oceanography
Guangpeng Liu, Brian Powell, Tobias Friedrich
Summary: Global ocean/atmosphere circulation models (GCMs) are helpful for understanding and predicting ocean and atmosphere behavior at large scales, but their low spatial resolution limits their use in regional studies. We have developed a method that uses an artificial neural network to downscale GCMs data and reconstruct high-resolution regional fields. This method shows significant improvement in capturing ocean dynamics and energy transfer compared to simulations directly forced by GCMs.
PROGRESS IN OCEANOGRAPHY
(2023)
Article
Environmental Sciences
William Llovel, Nicolas Kolodziejczyk, Sally Close, Thierry Penduff, Jean-Marc Molines, Laurent Terray
Summary: The global ocean is warming and has absorbed 90% of the Earth Energy Imbalance, resulting in global mean sea level rise. Both ocean heat content and sea level trends show large regional deviations, with uncertainties caused by uneven in-situ observations. Recent research has highlighted the contribution of chaotic ocean variability to regional sea level and ocean heat content trends, suggesting the need to account for this intrinsic variability when assessing decadal-scale budgets.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Han Liu, Yufang Jin, Leslie M. Roche, Anthony T. O'Geen, Randy A. Dahlgren
Summary: Rangelands play a crucial role in providing ecosystem services and are highly vulnerable to climate change. This study analyzes the interannual variability of rangeland gross primary production (GPP) in California's annual rangeland and identifies the key climate factors influencing GPP. The findings highlight the importance of understanding the effects of climate on rangeland productivity for adaptive management and conservation strategies.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Materials Science, Multidisciplinary
Eric B. Isaacs, Hyeondeok Shin, Abdulgani Annaberdiyev, Chris Wolverton, Lubos Mitas, Anouar Benali, Olle Heinonen
Summary: The study utilized many-body quantum Monte Carlo method to calculate the formation energy of two compounds, showing discrepancies with standard density functional theory predictions.
Article
Astronomy & Astrophysics
Gabriella Gilli, Thomas Navarro, Sebastien Lebonnois, Diogo Quirino, Vasco Silva, Aurelien Stolzenbach, Franck Lefevre, Gerald Schubert
Summary: An improved version of the Venus General Circulation Model with high resolution and non-orographic gravity waves parameterization is validated using data from Venus Express and ground-based telescopes, showing better agreement with temperature observations above 90 km. Systematic biases in temperature structure are found at certain levels, suggesting the importance of accurate parameterizations in modeling the Venusian upper atmosphere. Dynamics of CO and O tracers are analyzed in a region with limited wind measurements, revealing high variability over daily to weekly timescales.
Article
Engineering, Civil
Bingyao Zhang, Yu Li, Tingju Zhu, Guangtao Fu, Chi Zhang, Mengqiao Xu
Summary: This paper aims to develop basin-wide water resources management strategies to improve cooperation effectiveness in the Lancang-Mekong River Basin. The study finds that agricultural benefits in downstream countries are primarily affected by hydrological conditions, and that cooperative actions can alleviate agricultural drought. The effectiveness of cooperation varies under different hydrological conditions.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2022)
Article
Environmental Sciences
Siao Sun, Qiuhong Tang, Megan Konar, Zhongwei Huang, Tom Gleeson, Ting Ma, Chuanglin Fang, Ximing Cai
Summary: Groundwater use is essential for economic production, but its unsustainable use threatens environmental flows, sustainable development, and future food security. This study analyzes the complete supply chain of China and finds that groundwater depletion primarily occurs in water scarce regions in the country, and a significant amount of depleted groundwater is incorporated into industrial and tertiary products consumed by major cities.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Civil
Ana Carolina Cardoso Lima, Alcigeimes B. Celeste, Ximing Cai
Summary: This paper proposes an optimal sizing strategy for water storage reservoirs that considers both reliability and vulnerability. By comparing with another mixed-integer linear programming model, it is demonstrated that higher storage capacities are necessary for more reliable, less vulnerable operation and lower risk.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
(2022)
Article
Water Resources
S. Jamshid Mousavi, Kumaraswamy Ponnambalam, Alcigeimes B. Celeste, Ximing Cai
Summary: The paper introduces a new implementation method named FP-2022, which significantly reduces solving time by simplifying constraints and decreasing decision variables. It incorporates new expressions to improve optimality for a nonlinear objective function. The method is proven to be highly efficient and optimal through the optimization problem of a dam in Brazil and a five-reservoir system in India.
ADVANCES IN WATER RESOURCES
(2022)
Article
Agronomy
Xuemin Li, Jingwen Zhang, Ximing Cai, Zailin Huo, Chenglong Zhang
Summary: This paper presents a novel human-machine interactive framework for real-time irrigation scheduling, which can effectively tackle the challenges of data uncertainties and optimization models while considering farmers' acceptance. The framework searches for optimal irrigation scheduling through a simulation-optimization model, makes actual irrigation decisions based on farmers' experiences, and updates soil water content using real-time observations and model simulations. Applied to a real-world case in China's arid agricultural region, the proposed framework achieves higher economic benefit with less irrigation water allocation quotas and improves irrigation efficiency compared to historical records and traditional simulation-optimization models. This study contributes to sustainable irrigation water management by integrating computer models, real-time observations, and farmers' experiences into the optimization modeling framework.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Engineering, Environmental
Sundar Niroula, Kevin Wallington, Ximing Cai
Summary: Data limitations often challenge the reliability of water quality models in intensively managed watersheds. This study addresses the data challenges in calibrating the Soil and Water Assessment Tool (SWAT) to the Upper Sangamon River Watershed in central Illinois, highlighting errors and inconsistencies in data and insufficient precipitation and water quality observations. The study also demonstrates the benefits of additional weather and water quality observations for reducing input uncertainties and provides suggestions for selecting appropriate observations for model calibration. After addressing the data issues, the study shows that the SWAT model can be calibrated successfully for the case study watershed.
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
(2023)
Article
Agronomy
Zhaodan Cao, Tingju Zhu, Ximing Cai
Summary: Water shortage and soil salinization are key limiting factors in agricultural production in arid and semi-arid regions. The Hetao Irrigation District in western Inner Mongolia, China, has been adversely affected by irrigation water overuse and high soil salinity. An integrated hydro-agro-economic optimization model is developed to improve agricultural water management and policy interventions in the district.
AGRICULTURAL WATER MANAGEMENT
(2023)
Letter
Multidisciplinary Sciences
Sarah Wheeler, Claudia Ringler, Dustin Garrick
Article
Environmental Sciences
Hemant Kumar, Tingju Zhu, A. Sankarasubramanian
Summary: Understanding the interconnections between food, energy, and water systems is crucial for basins with intensive agricultural water use, especially in the face of changing climate and regional development. We utilized a regional hydroeconomic optimization (RHEO) modeling framework to investigate this nexus and developed a hierarchical regression model to estimate crop production using AquaCropOS, a biophysical model. The incorporation of the hierarchical model within RHEO enabled parallel programming and facilitated the analysis of mixed irrigation strategies. Applying this framework to a groundwater-dominated basin in Georgia, we found that optimal deficit irrigation is economically preferable and reduces water, carbon, and energy footprints, thereby increasing resilience in the food, energy, and water sectors.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Yu Zhang, Lili Yao, Jeffrey S. Geurink, Kshitij Parajuli, Dingbao Wang
Summary: This study proposes a three-stage precipitation partitioning framework to investigate the climate controls on mean annual groundwater evapotranspiration (GWET) in west-central Florida. The Integrated Hydrologic Model is used to simulate daily GWET, total evapotranspiration (ET), groundwater recharge, base flow, and total runoff. The results show that the ratios of GWET to various water variables decrease exponentially with watershed aridity index (WAI). The contribution of GWET to the ratio between total ET and available water or watershed wetting decreases with WAI in both one-stage and two-stage precipitation partitioning frameworks. Climate variability at different temporal scales affects GWET differently, with intra-monthly variability having the highest impact. Finally, the percentage of forest and wetland and impervious land cover contribute to the ratio of GWET to available water for GWET.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Kevin Wallington, Ximing Cai
Summary: Efforts to reduce riverine phosphorus (P) loads have been hindered because existing watershed management models fail to accurately account for in-stream processes that influence P export. A new version of the Soil and Water Assessment Tool (SWAT+), known as SWAT+P.R&R, has been developed to address this limitation by incorporating new streambed pools and processes related to P retention and remobilization. The modeling work with SWAT+P.R&R challenges existing assumptions about P storage, transformation, and transport in watersheds, and provides insights on the relationship between P retention and flow at different temporal scales.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Sundar Niroula, Ximing Cai, Gregory Mcisaac
Summary: The projected climate change will have significant impacts on agricultural production and water quality in the US Midwest. Adapting agricultural practices and implementing conservation measures are necessary for sustainable agriculture and water quality improvement.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Engineering, Civil
Yiyang Zhao, Tingju Zhu, Zhaoqiang Zhou, Hejiang Cai, Zhaodan Cao
Summary: Current approaches for calculating propagation time and rate of drought from meteorological to hydrological mainly rely on linear statistical methods, which may lead to inaccuracies. In this study, a nonlinear and systematic perspective on drought propagation using Nonlinear Dynamic System (NDS) in phase domain is adopted. NDS can generate chaos and provide nonlinear information to detect the propagation from meteorological to hydrological droughts. The results in Pearl River Basin and Wei River Basin demonstrate the effectiveness and applicability of the proposed method.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Zhihao Xu, Yunying Li, Ximing Cai, Yanpeng Cai, Zhifeng Yang
Summary: Reservoir operation policies have complex influences on sediment methane production and pathways. This study combines a physical-biogeochemical model with a reservoir operation model to evaluate operation impacts on sediment methane production and release dynamics. The results show that reservoir operations significantly impact methane pathways and atmospheric emissions.
WATER RESOURCES RESEARCH
(2023)
