Jingwei ZHANG’s Post

I'm happy to share that I've recently completed an enriching internship at the National Atmospheric Research Laboratory. Over the past few months, I've had the privilege to explore the Direction-of-Arrival (DOA) Estimation for Lightning Signals using Interferometry. While at NARL, I've worked on the complexities of signal processing and atmospheric sciences. Focusing on lightning signals has broadened my understanding of this natural phenomenon and equipped me with invaluable data analysis and interpretation skills. One of the most rewarding aspects of my internship was the meeting people with challenging research projects within atmospheric sciences. Each project presented unique challenges and learning opportunities, from studying the Martian ionosphere to investigating cloud bursts. Meeting passionate researchers has expanded my knowledge base and fueled my curiosity to explore further in this dynamic field. I'm incredibly grateful for the hands-on experience and mentorship I received at NARL. It has been a journey of growth and discovery, allowing me to apply theoretical knowledge to real-world scenarios and develop practical solutions. Reflecting on my internship experience, I'm filled with a sense of accomplishment and excitement for the future. I look forward to apply the skills and insights gained at NARL to contribute meaningfully to the field of atmospheric sciences and related fields. I'm eager to connect with fellow professionals who share a passion for research and innovation in atmospheric phenomena and Signal Processing.  #AtmosphericSciences #InternshipExperience #SignalProcessing #Research #Lightning #ProfessionalDevelopment

Happy #NationalInternDay from ARM! Two U.S. Department of Energy (DOE) Science Undergraduate Laboratory Internships (#SULI) program interns at Berkeley Lab are working with Daniel Feldman, lead scientist of the Surface Atmosphere Integrated Field Laboratory (#ARMSAIL) field campaign, to study #ARMdata. Hear from one of those interns, Felix Yu, University of Michigan, who is developing machine-learning methods to estimate surface albedo across the SAIL study area by downscaling geostationary and polar-orbiting satellite instrument datasets. #DOEClimateScience #ClimateScience

I am happy to share that I have successfully completed an APR.Intern project titled "Contributing to Green Shipping Through Coastal Ocean Modelling’ with Tidetech. Here's a brief summary of the project: "The imperative for green shipping, driven by environmental concerns, requires innovative approaches to optimize maritime transportation. This project explores the critical role of coastal ocean modelling in promoting sustainable shipping practices, particularly by providing accurate tidal information. Accurate tidal data not only minimizes waiting times for vessels entering and exiting major shipping ports, but also reduces fuel consumption, lowers CO2 emissions, and improves overall efficiency. The study assesses whether a hydrodynamic model-based solution can provide accurate tidal predictions compared to observations and official tidal predictions." This internship provided me with hands-on experience tackling real-world challenges, specifically through applying high-resolution coastal ocean modelling to promote green shipping. I am grateful to APR.Intern, Tidetech, Faculty of Engineering and Information Technology, University of Melbourne, Australian Mathematical Sciences Institute for this opportunity. Additionally, I enjoyed working with the team—Christelle Auguste, Roger Proctor, Sebastien Mancini, and Alexander Babanin—and I am thankful for their support throughout the project. #GreenShipping #HydrodynamicModelling #TidalPrediction #TidalStudies #CoastalModelling #IrishSea

[New members to the team ! 🎉 ] We are welcoming two new members to our team in Toulouse ! Meet Guillermo González Fradejas and Tom Winter 👇 Tom Winter studied for a degree in "International Land and Water Management" at Wageningen University in the Netherlands where he learned the technical and social aspects of getting water to the right place at the right time. His Master's program is entitled "Geo-Information Science & Remote Sensing" and covers the analysis of satellite imagery and geographic data. 📢 “My work at Murmuration will focus on model development and satellite data analysis. I work mainly in the field of land cover classification. “ Guillermo González Fradejas graduated in Environmental Sciences from the University of Alcalá, Spain, and is currently studying for the same Master's degree as Tom 📢 “During my six-month internship at Murmuration, I will focus on analyzing the impact of tourism on water resources, with particular emphasis on its contribution to a region's water stress, as part of the CAPENVI project." #new #team #teammembers #data

#internship Time-frequency analysis of turbulence, CO2 and energy fluxes above different ecosystems INRAE Grand Est-Nancy & INRAE Grand Est-Colmar https://lnkd.in/ej_jHxTr

🌍🔬 Wrapping up an incredible internship! 🌊🧪 Over the span of two months, I've had the privilege of completing my internship at the Department of Geoscience at Aarhus University under the guidance of Christof Pearce. During this time, I worked on a fascinating research project analyzing sediment varves from Aarhus Bay to uncover annual climate patterns from the past. 🏞️ 📍 What I achieved: Core Sampling & Analysis: Collected and studied sediment cores to understand how these layers can act as natural climate archives. Grain Size Analysis: Utilized advanced techniques like laser diffraction to differentiate sediment types and understand seasonal deposition cycles. Microscopy & Diatom Studies: Identified diatom species under the microscope, which provided key insights into past marine conditions. Data Interpretation: Combined radiocarbon dating and image processing to build a timeline of over 200 years of sedimentation, helping to reveal Aarhus Bay's climate history. This project has not only enhanced my skills in marine sedimentology and data analysis, but also deepened my understanding of how we can use natural archives to study climate change. 🌍🌡️ A huge thank you to Christof Pearce for his mentorship and the Department of Geoscience at Aarhus University for this amazing opportunity! Looking forward to applying this knowledge to future research. 🚀🔬 #internship #geoscience #climatechange #research #sedimentology #dataanalysis

Hello connections..!! During my internship at the National Institute of Ocean Technology, I actively contributed to cutting-edge research projects focused on advancing oceanic technology. Engaging in hands-on experiences, I gained invaluable insights into various aspects of marine exploration and environmental monitoring. Collaborating with esteemed professionals, I honed my skills in data analysis, Machine Learning, and project management. My time at NIOT fostered a deep appreciation for the complexities of oceanic research and its vital role in addressing global challenges. I am grateful for the opportunity to have been part of such an esteemed institution dedicated to pushing the boundaries of ocean technology. #DataAnalysis #MachineLearning

This week we were in Tromsø, visiting KSAT – Kongsberg Satellite Services!📡🛰️ Let us introduce, Adrian Tofting 🧑🏻💻 and the main take-aways from his tech talk held for our new colleagues in KSAT – Kongsberg Satellite Services. An often under-communicated contribution to the growth of companies is the role of students! We in VAKE believe that the 28 master- and summer interns we have hosted over the years are one of the best-kept ingredients to our secret sauce 🧑🍳 ✨ Here are the main points from Adrian's talk on how we enable students to contribute to advancing our technology beyond state-of-the-art:  ⭐️ By us investing time and effort in guiding the students, and letting them approach the problems with new eyes, they will prosper ⭐️ Motivate the students to explore exciting research from other domains ⭐️ No tech paradigm is too advanced for students. They are better than you on topics like transformers, Graph neural-networks and self-supervised models. They have been door-openers for VAKE to solve hard problems that most would think are unsolvable The outcome of last year's student's master theses: ⭐️ (2023) Using Time-series models derived from LLM to predict vessel movement, even after they turn off AIS, enabling us to tip-and-cue satellites to track dark vessels. Gil Tinde ⭐️ (2023) Using siamese networks and deep learning for ship identification, enabling optical fingerprinting of dark vessels. Ole Gabor Husebø ⭐️ (2023) Leveraging domain adaptation techniques to create satellite-source-agnostic models. This enables us to rapidly incorporate new imagery into our processing chain. Hauk Aleksander Olaussen, Noran Baskaran So, who is Adrian Tofting? Adrian is our tech-curious, and -positive chief VAKE-evangelist, not conforming to the boundaries set by others 🤠 He thrives on using his GEO-background to find creative approaches 🌍 To Adrian, goals are set with binoculars and from this perspective 🔭, problems are just stepping stones on the solution trail. With a “kill-them-with-competence” approach 🥸 and his signature smile, he is always set on bringing VAKE to new heights 🏔️ 🔥Next week, we will introduce you to our master students for this year 👩🎓🧑🎓Stay tuned! 

The Trond Mohn Research Foundation and University of Bergen funded #PASTFACT team is incredibly grateful to Katarzyna Hasal, who did the seemingly impossible, and built an easy-to-use web app (GRASP) during her IAESTE internship at Institutt for Geovitenskap and Bjerknes Centre for Climate Research that models grain size. We hope to soon share this with the wider community, and offer them an accessible tool to derive grain size information at a (micrometer) resolution that cannot be achieved with physical sampling.

I am glad to announce that I have completed my bachelor project/internship at ARCNL, with the research question being: "How do the phenomena resulting from Taylor-Culick retraction upon hole formation in static viscous liquid sheets compare to those of expanding sheets?" I am thankful for the guidance and patience of my supervisors, Hugo França and Oscar Versolato, who not only taught me about the underlying physics of the researched topic but also showed me the process of how professional research is conducted. Onwards to the next chapter!