𝗦𝗣𝗘𝗖𝗜𝗔𝗟 𝗜𝗦𝗦𝗨𝗘 𝗼𝗻 𝗛𝗶𝗴𝗵-𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝗳𝗼𝗿 𝗖𝗹𝗶𝗺𝗮𝘁𝗲 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝘀


This special issue in 𝗢𝗽𝗲𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 (𝗜𝗙 𝟮𝟬𝟮𝟮: 𝟭.𝟱) focuses on High-Performance Computing for Climate Informatics

Climate informatics includes a wide range of disciplines, including paleoclimatology, hurricane reconstruction utilizing data from climate downscaling employing large-scale models to predict weather conditions on a hyper-local level, ice cores, and the socio-economic ramifications of climate and weather. Mitigating the effects of climate change and successfully adapting to them necessitates efficient climate change strategic planning by countries worldwide, whose decision-making involves complicated models and data sources. Because weather forecasting is notoriously difficult, increasing accuracy requires computing power and large data.
Machine Learning (ML) in High-Performance Computing (HPC) helps scientists look at climate data flexibly, using figures from previous events to make accurate predictions. It aids in analyzing climate systems' complexity and allows researchers to grasp better how little interactions might influence weather. Machine learning models also help multiple imputations, resulting in similar or synthetic data that further speed climate science research. Big Data can handle the systematization, processing, and appraisal of heterogeneous data and information sources that traditional discipline analytic methods can't. The value of big data in climate studies is well recognized, and its forms are regularly used to study and monitor worldwide trends. It makes understanding and predicting easier, allowing for more adaptable decision-making and optimizing models and structures. Artificial intelligence (AI) technology can aid in the fight against climate change.
Data bias, privacy erosion, and purposeful exploitation have all been raised as issues with machine learning applications, all of which can lead to prejudice and injustice. While the future may be exciting, it's also crucial to realize that HPC is already solving major global concerns, including climate change, disease diagnosis, and sustainable energy usage. These applications represent important and forward-thinking milestones for various industries, and we're already seeing what's possible in the future. Thus, HPC is a crucial tool for monitoring and researching the planet's climate, from weather forecasting to biosphere modeling and tracking the evolution of natural resources. Planet-scale simulations can help demonstrate the dangers of climate change and future implications like no other instrument could. With technology far ahead of where it was even two years ago, the future of systems like HPC is bright, exciting, and long-term.
TOPICS:
● Advanced Machine learning in data assimilation for climate informatics
● Enhanced futuristic large climate predictive model for long- and short-term climate forecasts
● Convergence of Paleoclimate reconstruction with novel computing algorithms for climate informatics modeling
● AI-based High-Performance Computing for advanced climate detection and forecast models
● Data fusion of geospatial modeling and Geographic Information Systems (GIS) in big data analytics for climate informatics
● Analysis on opportunities and challenges in climate science information and decision making
● Assessment of multiple model simulations for climate informatics
● Convergence of geographic information science and advanced informatics for climate change predictions
● high-performance computation-based Data-intensive multi-disciplinary model for climate informatics
● Edge computing paradigm for advanced climate informatics

Authors are requested to submit their full revised papers complying with the general scope of the journal. The submitted papers will undergo the standard peer-review process before they can be accepted. Notification of acceptance will be communicated as we progress with the review process.

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𝑮𝑼𝑬𝑺𝑻 𝑬𝑫𝑰𝑻𝑶𝑹𝑺

Hammam Alshazly, South Valley University, Egypt
Hela Elmannai, Princess Nourah Bint Abdulrahman University, Saudi Arabia
Amir Benzaoui, University of Skikda, Algeria

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𝑫𝑬𝑨𝑫𝑳𝑰𝑵𝑬

The deadline for submissions is 𝗢𝗖𝗧𝗢𝗕𝗘𝗥 𝟭𝟬, 𝟮𝟬𝟮𝟯, but individual papers will be reviewed and published online on an ongoing basis.

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𝑯𝑶𝑾 𝑻𝑶 𝑺𝑼𝑩𝑴𝑰𝑻

All submissions to the Special Issue must be made electronically via the online submission system Editorial Manager:

𝗵𝘁𝘁𝗽𝘀://𝘄𝘄𝘄.𝗲𝗱𝗶𝘁𝗼𝗿𝗶𝗮𝗹𝗺𝗮𝗻𝗮𝗴𝗲𝗿.𝗰𝗼𝗺/𝗼𝗽𝗲𝗻𝗰𝘀/𝗱𝗲𝗳𝗮𝘂𝗹𝘁𝟮.𝗮𝘀𝗽𝘅

Please choose the article type “𝗦𝗜: 𝗛𝗶𝗴𝗵-𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝗳𝗼𝗿 𝗖𝗹𝗶𝗺𝗮𝘁𝗲 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝘀”.

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𝑪𝑶𝑵𝑻𝑨𝑪𝑻

𝗼𝗽𝗲𝗻𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿𝘀𝗰𝗶𝗲𝗻𝗰𝗲@𝗱𝗲𝗴𝗿𝘂𝘆𝘁𝗲𝗿.𝗰𝗼𝗺

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𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻, 𝗽𝗹𝗲𝗮𝘀𝗲 𝘃𝗶𝘀𝗶𝘁 𝗼𝘂𝗿 𝘄𝗲𝗯𝘀𝗶𝘁𝗲.

https://www.degruyter.com/journal/key/comp/html#overview