Towards an end-to-end analysis and prediction system for weather, climate, and Marine applications in the Red Sea

AbstractThe Red Sea, home to the second-longest coral reef system in the world, is a vital resource for the Kingdom of Saudi Arabia. The Red Sea provides 90% of the Kingdom’s potable water by desalinization, supporting tourism, shipping, aquaculture, and fishing industries, which together contribute about 10%–20% of the country’s GDP. All these activities, and those elsewhere in the Red Sea region, critically depend on oceanic and atmospheric conditions. At a time of mega-development projects along the Red Sea coast, and global warming, authorities are working on optimizing the harnessing of environmental resources, including renewable energy and rainwater harvesting. All these require high-resolution weather and climate information. Toward this end, we have undertaken a multipronged research and development activity in which we are developing an integrated data-driven regional coupled modeling system. The telescopically nested components include 5-km- to 600-m-resolution atmospheric models to address weather and climate challenges, 4-km- to 50-m-resolution ocean models with regional and coastal configurations to simulate and predict the general and mesoscale circulation, 4-km- to 100-m-resolution ecosystem models to simulate the biogeochemistry, and 1-km- to 50-m-resolution wave models. In addition, a complementary probabilistic transport modeling system predicts dispersion of contaminant plumes, oil spill, and marine ecosystem connectivity. Advanced ensemble data assimilation capabilities have also been implemented for accurate forecasting. Resulting achievements include significant advancement in our understanding of the regional circulation and its connection to the global climate, development, and validation of long-term Red Sea regional atmospheric–oceanic–wave reanalyses and forecasting capacities. These products are being extensively used by academia, government, and industry in various weather and marine studies and operations, environmental policies, renewable energy applications, impact assessment, flood forecasting, and more.</jats:p

Towards an end-to-end analysis and prediction system for weather, climate, and marine applications in the Red Sea

Author Posting. © American Meteorological Society, 2021. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Bulletin of the American Meteorological Society 102(1), (2021): E99-E122, https://doi.org/10.1175/BAMS-D-19-0005.1.The Red Sea, home to the second-longest coral reef system in the world, is a vital resource for the Kingdom of Saudi Arabia. The Red Sea provides 90% of the Kingdom’s potable water by desalinization, supporting tourism, shipping, aquaculture, and fishing industries, which together contribute about 10%–20% of the country’s GDP. All these activities, and those elsewhere in the Red Sea region, critically depend on oceanic and atmospheric conditions. At a time of mega-development projects along the Red Sea coast, and global warming, authorities are working on optimizing the harnessing of environmental resources, including renewable energy and rainwater harvesting. All these require high-resolution weather and climate information. Toward this end, we have undertaken a multipronged research and development activity in which we are developing an integrated data-driven regional coupled modeling system. The telescopically nested components include 5-km- to 600-m-resolution atmospheric models to address weather and climate challenges, 4-km- to 50-m-resolution ocean models with regional and coastal configurations to simulate and predict the general and mesoscale circulation, 4-km- to 100-m-resolution ecosystem models to simulate the biogeochemistry, and 1-km- to 50-m-resolution wave models. In addition, a complementary probabilistic transport modeling system predicts dispersion of contaminant plumes, oil spill, and marine ecosystem connectivity. Advanced ensemble data assimilation capabilities have also been implemented for accurate forecasting. Resulting achievements include significant advancement in our understanding of the regional circulation and its connection to the global climate, development, and validation of long-term Red Sea regional atmospheric–oceanic–wave reanalyses and forecasting capacities. These products are being extensively used by academia, government, and industry in various weather and marine studies and operations, environmental policies, renewable energy applications, impact assessment, flood forecasting, and more.The development of the Red Sea modeling system is being supported by the Virtual Red Sea Initiative and the Competitive Research Grants (CRG) program from the Office of Sponsored Research at KAUST, Saudi Aramco Company through the Saudi ARAMCO Marine Environmental Center at KAUST, and by funds from KAEC, NEOM, and RSP through Beacon Development Company at KAUST

Centralized monitoring and control of air conditioning units

934-939A virtual instrument has been developed using LabVIEW graphical programming language to monitor current drawn by air conditioning units (ACUs) at a central location. Program is flexible and permits operator to control, override and limit operational time of individual units so that wasteful expenditure is avoided. Concurrently, in the event of a power outage, load on back up DG sets can be programmed and restricted only to areas of emergency. Minimal hardware changes are required for implementation of new design system in existing ACU installations. Substantial reduction in cabling cost is achieved by designing additional hardware to reduce number of cables, connecting data acquisition card to AC systems

A virtual instrument for pulsed electrodeposition: A novel technique for obtaining graded coatings

1026-1028This study presents a computerized virtual instrument to generate a sequence of current pulses across two electrodes immersed in an electrolyte. Pulse parameters can be entered from a keyboard. Amplitude of pulses can be fixed or programmatically varied over the process period. This system is well suited for developing coatings with graded physical properties

A computer-based approach for developing functionally graded and layered coatings with detonation spray coating process

477-480Many material based technologies are being attempted for developing functionally graded coatings to withstand increasingly demanding conditions like higher temperatures, corrosive atmospheres, erosive attack, etc. This article describes a computerized concept to develop gradient or layered coatings using the detonation spray coating (DSC) technique

Mixing Torque Measurement - an Effective Tool for Identifying Critical Binder Volume Concentrations for Ceramic Processing

504-507Ceramic processing of powders, mixed with additives, can be classified into three regimes: CBVC [Critical Binder Volume Concentration], sub CBVC and post CBVC which correspond to viscous plastic processing, compaction processing and colloidal processing respectively. These regimes can be estimated experimentally by measuring the mixing torque for different ratios of the powder to additive concentration. In the present study, the torque required for mixing is indirectly estimated by measuring the torque of the AC motor that drives the blender. Analysis of the Torque v/s Volume Concentration curve permits delineation of the three zones. Our present study was carried out using alumina powder mixed with a binder. The developed torque was logged in a paperless chart recorder, with built-in storage memory

Is accredited social health activists' basic oral health knowledge appropriate in educating rural Indian population?

Introduction: Accredited social health activists (ASHAs) are the grassroot level health activists in the community who are involved in health education and community mobilization toward utilizing the health services. Materials and Methods: A descriptive cross-sectional study was carried out to assess the oral health knowledge among ASHAs working in Guntur district of Andhra Pradesh, India. Five Primary Health Centers were randomly selected, and the total sample was 275. Categorical data were analyzed using Chi-square test. P ≤ 0.05 was considered to be statistically significant. Results: The mean age was 32 ± 5.11 years and mean education was 9 ± 1.329 years of schooling. ASHAs were categorized into two groups based on their education levels, i.e., Group I whose education qualification is <10th class and Group II whose education qualification is above 10th class to observe any difference in knowledge based on their education. Overall knowledge among ASHAs was poor and also it was observed that both the groups were having poor knowledge regarding dental caries, calculus, dental plaque, oral cancer, and change of tooth brush. About 69.5% of the ASHAs were approached by public with dental problems, but only a few, i.e., 15.8% have referred the patients to the nearby dentist. Conclusion: As we know that most of the dental diseases are preventable, there is a dire need that ASHAs should be thoroughly educated in the aspects of oral health and diseases during their training period. This not only helps in creating awareness among them but also serves the ultimate purpose of improving the oral health of rural population