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Articles 121 - 150 of 1760
Full-Text Articles in Oceanography and Atmospheric Sciences and Meteorology
Uncertainty-Aware Deep Learning Framework For Forecasting Coastal Water Level In Virginia Beach, Md Mahmudul Hasan, Malachi Schram, Sridhar Katragadda, Diana Mcspadden, Alisa N. Udomvisawakul, Heather Richter, Frank Liu
Uncertainty-Aware Deep Learning Framework For Forecasting Coastal Water Level In Virginia Beach, Md Mahmudul Hasan, Malachi Schram, Sridhar Katragadda, Diana Mcspadden, Alisa N. Udomvisawakul, Heather Richter, Frank Liu
Computer Science Faculty Publications
Coastal areas like Virginia Beach, USA, are increasingly vulnerable to flooding. To mitigate the impact of flooding, it is crucial for the City of Virginia Beach to have reliable 72-hour-ahead (3 days) forecasts of water levels at key gauge locations. To support this effort, several sensors have been installed throughout the city to monitor water levels and other environmental parameters such as wind speed, precipitation, and atmospheric pressure. Leveraging sensor data from one of these locations, we developed an uncertainty-aware deep learning model to forecast water levels. We employed deep quantile regression (DQR) to quantify variability in the predictions and …
Co-Creation, Interpretations And Engagement With A Movement-Based Symbol For Climate Justice: A Qualitative Inquiry, Kai Reimer-Watts
Co-Creation, Interpretations And Engagement With A Movement-Based Symbol For Climate Justice: A Qualitative Inquiry, Kai Reimer-Watts
Theses and Dissertations (Comprehensive)
The climate crisis demonstrates with complete clarity the need for massive systems-level changes towards far more sustainable societies. Global and local emissions need to decline rapidly to mitigate intensifying climate breakdown, accompanied by climate and sustainability solutions, to secure a far more stable, safe, and just future for all people and all life. Within these changes, engaging in our communities is essential to support and co-create broader solutions to help advance more sustainable societies, reduce negative impacts of a changing climate, and to move towards cultures and systems that recognize natural limits and centre care for people and planet.
‘Climate …
Assessing Equity, Environmental Social Justice And Intersectionality In U.S. Federal Policies: A Comparative And Temporal Analysis Of The Department Of Transportation, Department Of Energy, And Environmental Protection Agency, Sneha Basu
Dissertations and Theses @ UNI
As the climate crisis intensifies, U.S. federal policies play a critical role in addressing the disproportionate environmental burdens borne by marginalized communities. This thesis assesses how equity, environmental social justice, and intersectionality have been integrated into the policy documents of three key federal agencies: Department of Transportation (DOT), Department of Energy (DOE), and Environmental Protection Agency (EPA), over a 20-year period (2004–2024). Using a quantitative content analysis of 46 policy documents, the study evaluates five core dimensions: depth of discussion, clarity of language, inclusiveness of marginalized groups, action-oriented language, and environmental justice considerations. The research reveals significant interagency disparities, with …
Local Rural Knowledge And Early Childhood Informal Science Education In Rural Nebraska, Sarah Michelle Paulos
Local Rural Knowledge And Early Childhood Informal Science Education In Rural Nebraska, Sarah Michelle Paulos
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
This study aims to discover the existing experiences that lead to local rural knowledge (LRK) of specific rural Northeast Nebraska communities. This information will assist in understanding the impact that LRK has on young children’s science knowledge in rural communities. By engaging in hands-on experiences and interactions, science learning goals for children may be achieved and developed through science outreach programs. During Phase 1 of this study, adults in the selected rural communities participated in an online survey indicating their knowledge of various common rural phrases with the option to share personal stories of experiences and family history. This information …
Performance Of Acoustic Telemetry And Space Use Of Pallid Sturgeon In The Lower Platte River, Nebraska, Christopher F. Pullano
Performance Of Acoustic Telemetry And Space Use Of Pallid Sturgeon In The Lower Platte River, Nebraska, Christopher F. Pullano
School of Natural Resources: Dissertations, Theses, and Student Research
Pallid Sturgeon (Scaphirhynchus albus) are centenarian, potamodromous, rheophiles that historically occupied the Missouri River and Mississippi River basins. Listed on the U.S. Endangered Species Act in 1990, population declines are attributed to habitat fragmentation and degradation, as well as overharvest, and hybridization. A knowledge gap exists regarding the extent to which tributaries facilitate key life stages for Pallid Sturgeon. This study evaluated the capacity of acoustic telemetry to monitor the movements of Pallid Sturgeon in a shallow, braided tributary to the Missouri River. The specific objectives were to (1) evaluate the environmental variables influencing the performance of acoustic …
Time Series Decomposition Of Land Surface Temperature For Long-Term Trend Forecasting And Impact On Nesting Sea Turtle Habitats In The Arabian Gulf, Sachi Perera, Rommel H. Maneja, Mohamed Allali, Cyril Rakovski, Erik Linstead, Daniele Struppa, Ali Qasem, Hesham El-Askary
Time Series Decomposition Of Land Surface Temperature For Long-Term Trend Forecasting And Impact On Nesting Sea Turtle Habitats In The Arabian Gulf, Sachi Perera, Rommel H. Maneja, Mohamed Allali, Cyril Rakovski, Erik Linstead, Daniele Struppa, Ali Qasem, Hesham El-Askary
Mathematics, Physics, and Computer Science Faculty Articles and Research
Improving land surface temperature (LST) modeling is vital for mitigating climate change effects on various ecosystems and marine habitats such as important sea turtle habitats. Over the past decade, extreme temperatures have likely significantly affected nesting sea turtle habitats in the Arabian Gulf, with predominantly female hatchlings creating an imbalance in the sex ratio. Such shifts have profound implications for these habitats’ long-term survival and conservation management. This study leverages statistical machine learning models to measure ongoing temporal variations in LST. We break down the LST time series into trend, seasonal, and noise components using classical decomposition methods like X11, …
Multi-Temporal Analysis Of Urbanization-Driven Slope And Ecological Impact Using Machine-Learning And Remote Sensing Techniques, Zhang Hao, Muhammad Haseeb, Zheng Xiangtian, Zainab Tahir, Syed Amer Mahmood, Aqil Tariq, Rana Waqar Aslam, M. Abdullah-Al-Wadud, Hesham El-Askary
Multi-Temporal Analysis Of Urbanization-Driven Slope And Ecological Impact Using Machine-Learning And Remote Sensing Techniques, Zhang Hao, Muhammad Haseeb, Zheng Xiangtian, Zainab Tahir, Syed Amer Mahmood, Aqil Tariq, Rana Waqar Aslam, M. Abdullah-Al-Wadud, Hesham El-Askary
Mathematics, Physics, and Computer Science Faculty Articles and Research
Rapid urbanization in Lahore, Pakistan, has led to significant ecological and thermal challenges, particularly the intensification of Urban Heat Island (UHI) effects and increased thermal stress as measured by the Urban Thermal Field Variance Index (UTFVI). This study employs a multi-temporal evaluation of Landsat satellite imagery and GIS-based analysis to investigate the Spatio-temporal trends in land-use and land-cover (LULC) changes from 1994 to 2024. We detected substantial changes in urban growth, vegetation cover, and barren areas using supervised classification (Random Forest) methods and remote sensing indices such as NDVI (Normalized Difference Vegetation Index), NDMI (Normalized Difference Moisture Index), NDBI (Normalized …
Spatial Gap-Filling Of Himawari-8 Hourly Aod Products Using Machine Learning With Model-Based Aod And Meteorological Data: A Focus On The Korean Peninsula, Youjeong Youn, Seoyeon Kim, Seung Hee Kim, Yangwon Lee
Spatial Gap-Filling Of Himawari-8 Hourly Aod Products Using Machine Learning With Model-Based Aod And Meteorological Data: A Focus On The Korean Peninsula, Youjeong Youn, Seoyeon Kim, Seung Hee Kim, Yangwon Lee
Institute for ECHO Articles and Research
Given the complex spatiotemporal variability of aerosols, high-frequency satellite observations are essential for accurately mapping their distribution. However, optical remote sensing encounters difficulties in detecting Aerosol Optical Depth (AOD) over cloud-covered regions, creating data gaps that limit comprehensive environmental analysis. This study introduces a spatial gap-filling method for Himawari-8/Advanced Himawari Imager (AHI) hourly AOD data, using a Random Forest (RF) model that integrates meteorological variables and model-based AOD data. Developed and validated over South Korea from 1 January to 31 December 2019, the model effectively improved data coverage from 6% to 100%. The approach demonstrated high performance in blind tests, …
Climatological Trends And Effects Of Aerosols And Clouds On Large Solar Parks: Application Examples In Benban (Egypt) And Al Dhafrah (Uae), Harshal Dhake, Panagiotis Kosmopoulos, Antonis Mantakas, Yashwant Kashyap, Hesham El-Askary, Omar Elbadawy
Climatological Trends And Effects Of Aerosols And Clouds On Large Solar Parks: Application Examples In Benban (Egypt) And Al Dhafrah (Uae), Harshal Dhake, Panagiotis Kosmopoulos, Antonis Mantakas, Yashwant Kashyap, Hesham El-Askary, Omar Elbadawy
Mathematics, Physics, and Computer Science Faculty Articles and Research
Solar energy production is vastly affected by climatological factors. This study examines the impact of two primary climatological factors, aerosols and clouds, on solar energy production at two of the world’s largest solar parks, Benban and Al Dhafrah Solar Parks, by using Earth observation data. Cloud microphysics were obtained from EUMETSAT, and aerosol data were obtained from the CAMS and assimilated with MODIS data for higher accuracy. The impact of both factors was analysed by computing their trends over the past 20 years. These climatological trends indicated the variations in the change in each of the factors and their resulting …
Climate Change And Its Effects On Maternal Mental Health, Sara Cordero
Climate Change And Its Effects On Maternal Mental Health, Sara Cordero
Undergraduate Research Symposium Lightning Talks
Climate change refers to long-term shifts in temperatures and weather patterns primarily caused by human activities, which have facilitated more climate crises, such as floods, wildfires, hurricanes, etc. They tend to have the greatest effect on vulnerable populations, such as women and children. This study is aimed to view how climate change-related environmental stressors impact the mental health and well-being of mothers. A scoping literature review approach was used by analyzing scientific databases (i.e. APA-Psycinfo, Scopus, PRIMO) to find peer-reviewed papers that studied the effects of extreme weather events and climate change on maternal mental health. Results suggest that hurricanes, …
Bottom-Up Global Change: Stealth Action In A Decentralized World, Art Blaser, Trinity Huynh
Bottom-Up Global Change: Stealth Action In A Decentralized World, Art Blaser, Trinity Huynh
Political Science Faculty Articles and Research
The climate justice and disability rights movements reflect a paradigm shift from a top-down approach to policy-making to one that emphasizes local efforts by non-state actors.
Lengthening Atlantic Hurricane Seasons With Earlier Storm Formation Dates Including Implications From 2020, Barry D. Keim, L. C. Hamilton, V. M. Brown, P. J. Klotzbach, A. B. Lewis, D. T. Thompson
Lengthening Atlantic Hurricane Seasons With Earlier Storm Formation Dates Including Implications From 2020, Barry D. Keim, L. C. Hamilton, V. M. Brown, P. J. Klotzbach, A. B. Lewis, D. T. Thompson
School of Public Health Faculty Publications
This paper analyzes the formation dates of the nth storm in a sequence for all named North Atlantic tropical cyclones (TCs) and assesses whether the intraseasonal length of the Atlantic hurricane season has changed temporally. The record-breaking 2020 season, with 30 named storms, set records for the earliest third TC formation (Cristobal) and from the sixth TC (Fay) onward. Analysis of season length from 1851 to 2022 identifies only one statistically significant breakpoint detected in the early 1970s, roughly coinciding with the introduction of satellite observations. Since 1970, we also find a trend toward longer North Atlantic hurricane seasons. The …
Understanding The Plastic Issue (Poster Presentation), Regan Bossie, Peter Nguyen, John Mcswiggin, Adam Meadows
Understanding The Plastic Issue (Poster Presentation), Regan Bossie, Peter Nguyen, John Mcswiggin, Adam Meadows
Sustainability Conference
The Plastic-Free Campus Initiative is an Embry-Riddle initiative advocating for the reduction and elimination of single-use plastics on the Daytona Beach campus.
Our poster presentation aims to highlight current issues and concerns by presenting plastic production trends, quantifying how plastic pollution has affected global ecosystems, and discussing the material characteristics of plastics and their consequences. The poster will provide an overview of the current state of global recycling and will outline key concerns that microplastics, and plastics in general, pose to public health. By presenting the current facts and concerns related to plastic and recycling, we hope to encourage individuals …
Coupling Between Evapotranspiration, Water Use Efficiency, And Evaporative Stress Index Strengthens After Wildfires In New Mexico, Usa, Ryan C. Joshi, Annalise Jensen, Madeleine Pascolini-Campbell, Joshua B. Fisher
Coupling Between Evapotranspiration, Water Use Efficiency, And Evaporative Stress Index Strengthens After Wildfires In New Mexico, Usa, Ryan C. Joshi, Annalise Jensen, Madeleine Pascolini-Campbell, Joshua B. Fisher
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Aim
Examine the effects of evapotranspiration (ET), water use efficiency (WUE), and evaporative stress index (ESI) on wildfire temperature and extent. Compare land cover type proportions in burned area with land cover type proportions in New Mexico.Methods
We used remotely sensed data from NASA’s ECOsystem and Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) to collect ET, WUE, & ESI data. Data were analyzed for burned areas of 10 wildfires that occurred in New Mexico between 2020 and 2022, segmenting the following land cover types: evergreen needleleaf forests, closed shrublands, open shrublands, savannas, woody savannas, grasslands, and other.Results …
Perspectives Through The Lens Of Educators And Students: Teaching Flood Mitigation And Other Controversial Food, Energy, Water Nexus Issues In The Classroom, Sumaiya Tabassum
Perspectives Through The Lens Of Educators And Students: Teaching Flood Mitigation And Other Controversial Food, Energy, Water Nexus Issues In The Classroom, Sumaiya Tabassum
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Science and society are inseparably linked, shaping each other in ways that define our world, emphasizing the need to teach science for empowering students capable of taking meaningful action toward building a sustainable and just society. Developing sustainability competencies in students is an important step toward this goal, with controversial socio-scientific issues (SSIs) providing a valuable teaching context, that encourage students in analyzing interdisciplinary evidence while considering the social, economic impacts of potential solutions. However, recognizing the unique perspectives individuals bring to the classroom is prerequisite for tailoring effective, inclusive instruction, as perspectives often shape learning and classroom-engagement. This study …
Estimating The Economic Impact Of A Natural Disaster On The Workforce Resiliency: An Analysis Of The Virginia Beach - Chesapeake - Norfolk Metropolitan Statistical Area, Robert M. Mcnab, Yin-Hsuen Chen, George Mcleod
Estimating The Economic Impact Of A Natural Disaster On The Workforce Resiliency: An Analysis Of The Virginia Beach - Chesapeake - Norfolk Metropolitan Statistical Area, Robert M. Mcnab, Yin-Hsuen Chen, George Mcleod
Presentations, Lectures, Posters, Reports
In this paper, we explore the potential economic impacts associated with a major hurricane making landfall in Hampton Roads. We estimate the direct damages from a Florence-like Category 3 hurricane with a 3.6 feet tidal offset are estimated at $15.6 billion, equivalent to 10% of the 2022 regional GDP. If we apply existing flood insurance rates to these projected damages, we estimate that the total economic impact would exceed $12 billion with a short-term loss of more than 76,000 jobs. The job losses are concentrated in sectors that provide services to households which would bear the brunt of damages during …
Upholding “Triple Real” Vision For Ocean Negative Carbon Emissions To Advance Global Climate Governance, Nianzhi Jiao, Chuanlun Zhang, Tingwei Luo, Jihua Liu
Upholding “Triple Real” Vision For Ocean Negative Carbon Emissions To Advance Global Climate Governance, Nianzhi Jiao, Chuanlun Zhang, Tingwei Luo, Jihua Liu
Bulletin of Chinese Academy of Sciences (Chinese Version)
Addressing climate change is a formidable challenge for humanity, and achieving the temperature control goals of the Paris Agreement cannot rely solely on greenhouse gas emission reductions—negative emissions are an inevitable solution. The ocean, as the planet’s largest active carbon reservoir, holds immense potential for negative emissions, yet there is no internationally recognized pathway to realize it. The UNESCO-IOC international program of Ocean Negative Carbon Emissions (ONCE) builds on the original theory of the microbial carbon pump (MCP) and integrates known ocean carbon sequestration mechanisms BCMS (standing for biological carbon pump, carbonate counter pump, MCP, solubility carbon pump) to propose …
Statistical Downscaling Of Climate Datasets With Deep Generative Model And Bayesian Inference, Guiye Li, Guofeng Cao
Statistical Downscaling Of Climate Datasets With Deep Generative Model And Bayesian Inference, Guiye Li, Guofeng Cao
I-GUIDE Forum
Facing the challenges of global climate change, precise and high spatial resolution climate data are crucial and in pressing need for scientific research and analysis. However, most existing datasets are only available with very coarse spatial resolution and demand large-scale resolution enhancement. Meanwhile, climate datasets own much more intricate textures than natural images. Statistical downscaling or super-resolution (SR) with the deep-learning-based generative model might be a promising approach to address these challenges. It is worth noting that a learned Bayesian reconstruction with generative models (L-BRGM) method was proposed recently. The proposed Bayesian deep learning framework employs a single pre-trained generative …
Challenges And Future Directions In Quantifying Terrestrial Evapotranspiration, Koong Yi, Gabriel B. Senay, Joshua B. Fisher, Lixin Wang, Kosana Suvočarev, Housen Chu, Georgianne W. Moore, Kimberly A. Novick, Mallory L. Barnes, Trevor F. Keenan, Kanishka Mallick, Xiangzhong Luo, Justine E. C. Missik, Kyle B. Delwiche, Jacob A. Nelson, Stephen P. Good, Xiangming Xiao, Steven A. Kannenberg, Arman Ahmadi, Tianxin Wang, Gil Bohrer, Marcy E. Litvak, David E. Reed, A. Christopher Oishi, Margaret S. Torn, Dennis Baldocchi
Challenges And Future Directions In Quantifying Terrestrial Evapotranspiration, Koong Yi, Gabriel B. Senay, Joshua B. Fisher, Lixin Wang, Kosana Suvočarev, Housen Chu, Georgianne W. Moore, Kimberly A. Novick, Mallory L. Barnes, Trevor F. Keenan, Kanishka Mallick, Xiangzhong Luo, Justine E. C. Missik, Kyle B. Delwiche, Jacob A. Nelson, Stephen P. Good, Xiangming Xiao, Steven A. Kannenberg, Arman Ahmadi, Tianxin Wang, Gil Bohrer, Marcy E. Litvak, David E. Reed, A. Christopher Oishi, Margaret S. Torn, Dennis Baldocchi
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Terrestrial evapotranspiration is the second-largest component of the land water cycle, linking the water, energy, and carbon cycles and influencing the productivity and health of ecosystems. The dynamics of ET across a spectrum of spatiotemporal scales and their controls remain an active focus of research across different science disciplines. Here, we provide an overview of the current state of ET science across in situ measurements, partitioning of ET, and remote sensing, and discuss how different approaches complement one another based on their advantages and shortcomings. We aim to facilitate collaboration among a cross-disciplinary group of ET scientists to overcome the …
Conducting Structure-From-Motion (Sfm) Modeling Of Freshwater Environments Using Unpiloted Aerial Systems (Uas): Challenges And Lessons Learned, Benjamin T. Fraser, Christine L. Bunyon, Russell G. Congalton
Conducting Structure-From-Motion (Sfm) Modeling Of Freshwater Environments Using Unpiloted Aerial Systems (Uas): Challenges And Lessons Learned, Benjamin T. Fraser, Christine L. Bunyon, Russell G. Congalton
Faculty Publications
The pairing of Unpiloted Aerial Systems (UAS) and Structure from Motion (SfM) has provided new capabilities for modeling freshwater environments. Applications of UAS-SfM range from water quality monitoring to the mapping of aquatic vegetation. The models produced provide users with the ability to analyze features at ultra-high-resolutions and across scales not easily achieved through in situ sampling. Despite the demonstrated benefits of UAS-SfM in freshwater and other natural resource disciplines, there remain fundamental technical challenges in the modeling of environments with homogenous surfaces (e.g., water). In this research, the effectiveness of several image collection and processing approaches for the modelling …
Challenges Of Using More Precise Temporal And Spatial Resolution Of Remote Sensing Data For Surface Water Quality Monitoring, Ivan Rykin
Dartmouth College Master’s Theses
Monitoring river suspended sediment concentration (SSC) is critical for environmental challenges such as understanding the fate of thawed permafrost sediment and its impact on global carbon cycling. However, traditional SSC monitoring using Landsat imagery is limited by spatial and temporal constraints, particularly for narrow rivers in cloudy and/or snowy regions.
This study investigates the use of higher spatial (3 m) and temporal (daily) resolution satellite imagery from the PlanetScope constellation to estimate SSC in remote rivers such as those in the Arctic. I compare the performance of PlanetScope’s spectral resolution (4 and 8 bands) with Landsat 7. Merging data from …
Impacts Of Climate Change In The United States, Nathan T. Thompson
Impacts Of Climate Change In The United States, Nathan T. Thompson
Journal of Nonprofit Innovation
Climate change, a shift in long-term climate patterns primarily driven by anthropogenic factors, poses a super wicked problem impacting every sector and region globally, including the United States. This paper explores the scientific basis of climate change, its contributing factors, and the myriad consequences on terrestrial and aquatic systems, as well as mental health. Notably, the emission of greenhouse gases from fossil fuels and agricultural activities is the primary cause, exacerbated by ideological division and psychological distance. The U.S. has seen some progress with a 7% decrease in emissions over the past 30 years and a growing shift toward renewable …
Environmental Justice And Social Work: A Study Across Practice Settings In Three U.S. States, Lisa Reyes Mason, Sierra Roach Coye, Smitha Rao, Amy Krings, Julia Santucci
Environmental Justice And Social Work: A Study Across Practice Settings In Three U.S. States, Lisa Reyes Mason, Sierra Roach Coye, Smitha Rao, Amy Krings, Julia Santucci
Graduate School of Social Work: Faculty Scholarship
Environmental justice is essential for improved quality of life and sustainable wellbeing. This study examines how environmental issues and related injustices are surfacing in U.S. social work practice and social work readiness to respond, and what resources social workers are most interested in. Data are from an online survey of U.S. social workers (N = 337) in Colorado, Ohio, and Tennessee. Participants answered questions about their social work background, current job, environmental issues in practice, resources, and demographics. Data were analyzed with descriptive statistics. For nine issues, at least 30% of participants reported these as surfacing sometimes or often, with …
Seasonal Dynamics In Land Surface Temperature In Response To Land Use Land Cover Changes Using Google Earth Engine, Lei Feng, Sajjad Hussain, Narcisa G. Pricope, Sana Arshad, Aqil Tariq, Li Feng, Muhammad Mubeen, Rana Waqar Aslam, Mohammed S. Fnais, Wenzhao Li, Hesham El-Askary
Seasonal Dynamics In Land Surface Temperature In Response To Land Use Land Cover Changes Using Google Earth Engine, Lei Feng, Sajjad Hussain, Narcisa G. Pricope, Sana Arshad, Aqil Tariq, Li Feng, Muhammad Mubeen, Rana Waqar Aslam, Mohammed S. Fnais, Wenzhao Li, Hesham El-Askary
Mathematics, Physics, and Computer Science Faculty Articles and Research
Changes in land use and land cover (LULC) are critical for evaluating global spatiotemporal trends, especially regarding climate change and urbanization. This study investigates the dynamics of Landsat surface temperature (LST) in response to LULC changes and their effects on the seasonal microclimate in Kasur District, Pakistan. Using the Google Earth Engine platform, we employed a random forest algorithm to detect LULC changes (cropland, forest, built-up, fallow, barren, and water) and analyze seasonal spectral indices from Landsat imagery for 1988, 2002, and 2022. Significant LULC changes were observed, including a 9.8% increase in built-up areas, a 4.2% decrease in cropland, …
Characteristics, Protection, And Utilization Of Marine Ecosystems With Chinese Characteristics, Xin Liu, Si Zhang
Characteristics, Protection, And Utilization Of Marine Ecosystems With Chinese Characteristics, Xin Liu, Si Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Chinese President Xi Jinping proposed the concept of “Martime Community with a Shared Future”. The ocean circulation, the mid-oceanic ridge, and the thermal lava flows constitute the dynamical systems of the maritime community, while the ocean circulation and the material and energy cycles are essential to the global ocean’s connectivity, the mid-oceanic ridge and its thermal lava flows underlie global submarine connectivity, and the marine circulation system, together with the marginal sea submarine system, supports the highly complex biological habitats in the China Sea. Coral island reefs and cold seeps constitute the most characteristic marine ecosystems in China. Conducting research, …
Weather Risks, Crop Losses, And Risk Proneness: An Examination Of Evolving Risk Preferences Of Rice Farmers In Bangladesh, W. Parker Wheatley, Taznoore Khanam, Valerien O. Pede, Takashi Yamano
Weather Risks, Crop Losses, And Risk Proneness: An Examination Of Evolving Risk Preferences Of Rice Farmers In Bangladesh, W. Parker Wheatley, Taznoore Khanam, Valerien O. Pede, Takashi Yamano
Economics Faculty Publications
Changing climate poses significant challenges for smallholder rice farmers. Weather-related deviations from longer-term patterns and crop losses due to abiotic hazards can affect farmer risk preferences and drive adaptive responses. In addition, farmers’ proneness to and past experiences with crop risks such as drought, submergence, and excess soil salinity can impact their baseline risk preferences and their response to changing risks. Using data for Bangladesh from two waves of the Rice Monitoring Survey, climate-related data (precipitation and temperature), farmer reports of crop losses, and measures of proneness to abiotic risks, this article estimates how weather deviations from longer-term trends, crop …
Groundwater Modeling Of The Ogallala Aquifer: Use Of Machine Learning For Model Parameterization And Sustainability Assessment, Tewodros Aboret Tilahun
Groundwater Modeling Of The Ogallala Aquifer: Use Of Machine Learning For Model Parameterization And Sustainability Assessment, Tewodros Aboret Tilahun
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Addressing groundwater depletion problems in heterogeneous aquifer systems is a challenge. The heterogeneous Ogallala Aquifer, a critical source of groundwater in the central United States, has undergone decades of decline in water levels due to pumping. This project aims to build a robust groundwater model to evaluate optimal scenarios for sustainable use of the groundwater resource within a section of the Ogallala aquifer located in the Middle Republican Natural Resources District (MRNRD). This study follows a comprehensive approach involving parameterization, construction, and optimization. The model is parametrized using hydraulic conductivity and recharge values obtained from a random forest-based machine learning …
How Can Event Attribution Science Underpin Financial Decisions On Loss And Damage?, Dim Coumou, Paola A. Arias, Ana Bastos, Charlotte Kendra Z. Gotangco Gonzales, Gabriele C. Hegerl, Pandora Hope, Christopher Jack, Friederike Otto, Fahad Saeed, Olivia Serdeczny, Theodore G. Shepherd, Robert Vautard
How Can Event Attribution Science Underpin Financial Decisions On Loss And Damage?, Dim Coumou, Paola A. Arias, Ana Bastos, Charlotte Kendra Z. Gotangco Gonzales, Gabriele C. Hegerl, Pandora Hope, Christopher Jack, Friederike Otto, Fahad Saeed, Olivia Serdeczny, Theodore G. Shepherd, Robert Vautard
Environmental Science Faculty Publications
With climate extremes hitting nations across the globe, disproportionately burdening vulnerable developing countries, the prompt operation of the Loss and Damage fund is of paramount importance. As decisions on resource disbursement at the international level, and investment strategies at the national level, loom, the climate science community’s role in providing fair and effective evidence is crucial. Attribution science can provide useful information for decision makers, but both ethical implications and deep uncertainty cannot be ignored. Considering these aspects, we articulate a vision that integrates established attribution methods and multiple lines of evidence within a coherent logical framework.
Further Developing Drought Early Warning Information Systems Using Mixed-Methods And Multiple Streams Of Data, Caily Claire Schwartz
Further Developing Drought Early Warning Information Systems Using Mixed-Methods And Multiple Streams Of Data, Caily Claire Schwartz
Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–
Drought is a complex phenomenon with varying degrees of impacts and monitoring methods. No drought is alike, creating a challenge for both water managers and communities. No area is immune to a drought. Due to the cyclical nature of drought events, clear information to those impacted is necessary to reduce risk and move towards proactive responses, as opposed to reactive responses. To better provide communication and mitigation tools, Drought Early Warning Information Systems (DEWIS) have been developed in various regions and contexts. To improve early warning, an understanding of the end user’s perceptions of risk, and the applicability of data …
Sensitivity Of Present And Future Seasonal Precipitation Over Central United States To The Representation Of Rocky Mountain Topography, Ranasinghe Disanayakalage Sherly Shelton Ranathunga
Sensitivity Of Present And Future Seasonal Precipitation Over Central United States To The Representation Of Rocky Mountain Topography, Ranasinghe Disanayakalage Sherly Shelton Ranathunga
Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research
Precipitation change across the Central United States (USA) is of great interest to the research community. Studies using global climate simulations suggest that the “100th-Meridian”, which separates the “dry west” from the “moist east” will shift to the east as the climate responds to future emissions pathways. However, these simulations are run at relatively coarse resolutions, which do not accurately represent topography. Here, we perform regional simulations using the Weather Research and Forecasting (WRF) model to explore the sensitivity of present and future precipitation patterns across the central USA to the representation of the Rocky Mountains (RM). We …