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Digital twin to aid in monitoring cyclones, droughts, and floods

Extreme weather conditions and climate change are among the world's most significant challenges today. Creating a virtual replica of Earth's systems (a digital twin) for simulating and predicting "weather and climate" scenarios is a primary goal of the European Commission's Destination Earth initiative. Professor Witold Rohm from the Wrocław University of Environmental and Life Sciences will play a vital role in this important endeavor.

The project "New Horizons in Tropospheric Observation using the Next Generation of GNSS Satellites, Satellite Constellation Networks, and Artificial Intelligence" was among the 13 selected for funding in the third edition of the international SHENG competition for Polish-Chinese research projects. Undertaken by Professor Witold Rohm from the Wrocław University of Environmental and Life Sciences and Professor Kefei Zhang from the China University of Mining and Technology, the project aims to align with the Destination Earth initiative and enhance measurement capabilities through modern GNSS remote sensing techniques. The researchers will receive over 1.6 million Polish zlotys for their work.

Climate change: a challenge for today's world

Recent rapid technological advancements have not only fostered the development of space, information, and communication technologies, and artificial intelligence but have also contributed to the increased severity and frequency of natural disasters and man-made catastrophes. Climate change and its associated extreme weather phenomena are among today's world's most critical challenges.

The "digital twin" project by scientists from the Institute of Geodesy and Geoinformatics at the Wrocław University of Environmental and Life Sciences, led by Professor Witold Rohm and in collaboration with researchers from the China University of Mining and Technology, attempts to meet these challenges.

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The project includes simulating various weather scenarios and testing potential solutions.
Photo by Shutterstock

– The goal is to complement the virtual replica of Earth's objects and systems, including the atmosphere, oceans, and land surfaces. To acquire the necessary real-time data, our project envisages using satellite systems for monitoring and studying Earth's systems (GNSS remote sensing), aided by artificial intelligence – explains Professor Rohm

Opportunities in GNSS remote sensing

GNSS remote sensing involves using data from navigational satellite systems to monitor and study Earth's systems like the atmosphere and oceans. These data can enhance weather and climate models, which are crucial for predicting extreme weather events and understanding climate change trajectories.

– Our project also offers the opportunity to simulate various scenarios and test potential solutions. These studies can impact our future not only in terms of protecting against climate change and economic system collapses but also in developing high-performance computing data processing techniques and advancing remote sensing technologies – summarizes the UPWr scientist.

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The international, bilateral SHENG competition for Polish-Chinese research projects is organized by the National Science Centre in cooperation with the Chinese agency National Natural Science Foundation of China (NSFC), following a parallel assessment procedure. This means both agencies conduct a simultaneous formal and substantive evaluation of applications, with funding granted only to projects recommended by both NCN and NSFC. The funded research will be conducted in Poland and China, with two project leaders overseeing each project: one from the Chinese side and the other from the Polish side. The received funds can be allocated for research activities, remuneration of the research team, scholarships for students or doctoral candidates, purchase or creation of scientific research equipment, and covering other costs associated with the Polish part of the research project. This year, 126 applications were submitted, with 13 qualifying for funding.

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03.01.2024
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