Helmholtz-Zentrum Hereon’s Post

𝘞𝘦’𝘳𝘦 𝘰𝘯 𝘓𝘪𝘯𝘬𝘦𝘥𝘐𝘯! 𝘓𝘦𝘵’𝘴 𝘴𝘩𝘢𝘱𝘦 𝘵𝘩𝘦 𝘧𝘶𝘵𝘶𝘳𝘦 𝘰𝘧 𝘌𝘢𝘳𝘵𝘩 𝘚𝘺𝘴𝘵𝘦𝘮 𝘚𝘤𝘪𝘦𝘯𝘤𝘦 𝘵𝘰𝘨𝘦𝘵𝘩𝘦𝘳! Big news from CESOC - Center for Earth System Observation and Computational Analysis: our LinkedIn page is live! 🎉 🔍 CESOC is a joint cooperation among The University of Bonn, University of Cologne and Forschungszentrum Jülich, collaborating closely with the European Centre for Medium-Range Weather Forecasts (ECMWF) and Deutscher Wetterdienst (DWD) and other global partners. Together, we’re tackling one of humanity’s greatest challenges: understanding, forecasting, and adapting to our changing Earth system. 🌍  Why follow us?  👉 Stay updated on cutting-edge research in Earth System Science and Computational Analysis.  👉 Learn about exciting collaborations between geosciences and computer science.  👉 Be part of a community dedicated to solving environmental challenges through innovation, science, and education. 👥 Whether you're a scientist, student, policymaker, or just passionate about our planet, 𝗷𝗼𝗶𝗻 𝘂𝘀 as we push the boundaries of climate research and foster the next generation of Earth system scientists. 💡 Follow us now, share the news, and let’s connect for a sustainable future! 🌱 #EarthSystemScience #ClimateChange #ComputationalAnalysis #CESOC #Sustainability #innovation #HPC #weather #forecast #AI #ML #clouds #DataAssimiliaton #CAMS

🌕🌓🌑🌗🌕 Did everyone get out to see the eclipse on Monday? Where I am located, it was cloudy all day, but what an amazing sight to see for those who did. 🌏 The Earth, and rest of the solar system has always fascinated me. 🌌 If you are interested as well, check out this recent discussion in the TS Digest with Meenakshi Prabhune, PhD and Astronaut Kathleen Rubins around sequencing DNA in space.

📢 To all ESA-funded projects, do you want to learn more about the #FAIR and #OpenScience EarthCODE initiative? Leave us your contact to schedule a dedicated meeting! 📅 #ESA #EarthObservation #Science #Research #Collaboration #Innovation #DataManagement #CloudComputing #ScientificResearch #OpenData #FAIRData

🌍 New Publication Alert! 🌍 Excited to share our latest publication, "Multilabel-Guided Soft #ContrastiveLearning for #Efficient #EarthObservation #Pretraining," now featured in IEEE Transactions on Geoscience and Remote Sensing! This work is led by my PhD student Yi Wang. It introduces a novel method that leverages multilabel-guided soft contrastive learning for pretraining Earth observation models, unlocking higher efficiency and performance. Here’s what have been covered: #SoftCon Method: A soft contrastive learning approach that tackles complex multilabel scenes by adjusting similarities based on land-cover labels. #CrossDomain #ContinualPretraining: Effective cross-domain techniques that leverage strong vision models like DINOv2, ensuring better transfer across multispectral and SAR modalities. #SotA Results: Achieved top performance in 10 out of 11 Earth observation downstream tasks, showcasing our model’s robustness across multiple datasets. Explore more: https://lnkd.in/diHHjj3S Code: https://lnkd.in/dFGCZfcF #EarthObservation #RemoteSensing #MachineLearning #SelfSupervisedLearning #ContrastiveLearning #ArtificialIntelligence

Learning and exchanging scientific ideas at #AGU24. I have the pleasure to give two talks this week. The first about an open source dataset containing spatially distributed observations and retrievals of atmospheric boundary layer properties in Houston. This work was conducted to improve community access to data for understanding complex boundary layer processes in coastal and urban environments. (Tuesday 5:20pm Room 202B of the Convention Center). The second about the data collection strategies employed by the SW-IFL project to study urban heat in the Southwest U.S. There I will share lessons learned trying to fill the climate data gap in cities via the collection of street-scale observations using mobile sensors. (Thursday 2:40pm Room 204 A-C of the Convention Center) I also must shoutout my postdoc Edwin V Davis who who will be presenting a poster and a talk about observations of wind flow and turbulence in urban street canyons and their response to atmospheric stability and building shape (Wednesday 1:40pm poster Hall B-C) I hope I get the opportunity to meet you this week!

Science has always been about the new. The now. The next. It’s what propels us, feeding our questions and inspiring our work. The constant question and answer form a rhythm, a cadence, a story. Science is a story. A story of infinite possibilities. A story of continuous discoveries. A story of hopeful solutions. It’s the story of our journey; we create what’s next. What’s next for our community. What’s next for discoveries. What’s next for our planet. What’s Next for Science. Next week, American Geophysical Union-AGU24 returns to Washington, D.C. with the theme “What’s Next for Science.” We can’t wait to see you there! Be sure to visit Nicolas Venjean and McKenzie Woodman at Booth #421 to learn more about how the technical advances of Spectral Evolution’s UV-Vis-NIR field spectroradiometers provide a new standard of high-quality data to remote sensing scientists. McKenzie Woodman will also be presenting our abstract on the 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁 𝗶𝗻 𝗡𝗜𝗥 𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗮𝗻𝗰𝗲 𝗠𝗲𝗮𝘀𝘂𝗿𝗲𝗺𝗲𝗻𝘁𝘀 𝗼𝗳 𝗦𝗺𝗮𝗹𝗹 𝗟𝗲𝗮𝘃𝗲𝘀 𝗮𝗻𝗱 𝗣𝗶𝗻𝗲 𝗡𝗲𝗲𝗱𝗹𝗲𝘀 𝗮𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗼𝗳 𝗗𝗶𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗦𝗽𝗲𝗰𝘁𝗿𝗮𝗹 𝗥𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻: 𝗦𝗲𝘀𝘀𝗶𝗼𝗻-𝗕𝟮𝟮𝗙: Advances in Using Imaging Spectroscopy to Monitor Plant Biodiversity and Ecosystem Functioning Across Scales 𝗗𝗮𝘁𝗲 & 𝗧𝗶𝗺𝗲: Tuesday, 10 December 2024, 10:20 – 11:50 EST 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: Hall D (Poster Hall); eLightning Theater 3 Learn More: https://lnkd.in/eJT_Y-2x #agu #science #spectroscopy #remotesensing #spectralresolution #spectroradiometers #NIR #climatescience #earthscience #soilscience

Yesterday, it was a pleasure to participate on a panel of other Geomatics and Science practitioners during the annual workshop with the - #Society_For_UAP_Studies - https://lnkd.in/gSV7rbsn .. also featured was Mr. Tom Babb artfully sharing the SkyFi opportunity for data awareness and access. AssetAssurance Monitoring presented the case for looking at Earth with the similar #vigor and $$$ we put into #space and the #universe -- illustrating the opportunity to create links between databases of #UAP and "surface events" using the many open access and commercial #EO datasets -- considering the application of #ML scripts on data sets from #LANDSAT, #COPERNICUS, and others -- Links to geolocated observances and historical, matching period, and thereafter review of thermal (LST), microwave (#POLSAR, #InSAR, #SAR) and electro-optical data across MODEL or SAMPLE Areas of Interest .... Cool stuff. Thanks to Dan Williams for his consideration of our efforts and interest in finding answers for the benefit of all. #RRM

Atmospheric modeling involves simulating the atmospheres of Earth and other planets or celestial bodies using computer algorithms. It's crucial for predicting weather, understanding climate change, and assessing air quality on Earth, while also helping us study atmospheres on planets like Mars or Venus. By solving problems like forecasting severe storms, tracking pollution, or predicting surface conditions on other planets, #atmosphericmodeling protects lives, guides #environmentalpolicies, and aids #spaceexploration. These models are key to advancing our understanding of Earth's future climate and the potential habitability of other worlds. Here's the hottest research in the atmospheric modeling topic on OiPub: 𝟭. 𝗧𝗵𝗲 𝗽𝘆𝗿𝗮𝘁 𝗯𝗮𝘆 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝗲𝘅𝗼𝗽𝗹𝗮𝗻𝗲𝘁 𝗮𝘁𝗺𝗼𝘀𝗽𝗵𝗲𝗿𝗶𝗰 𝗺𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴: 𝗮 𝗽𝗼𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝘀𝘁𝘂𝗱𝘆 𝗼𝗳 𝗛𝘂𝗯𝗯𝗹𝗲/𝗪𝗙𝗖𝟯 𝘁𝗿𝗮𝗻𝘀𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝘀𝗽𝗲𝗰𝘁𝗿𝗮 by Patricio E. Cubillos and Jasmina Blecic (2021) https://lnkd.in/gyAFKHCA 𝟮. 𝗘𝗿𝗿𝗼𝗿𝘀 𝗮𝗻𝗱 𝘂𝗻𝗰𝗲𝗿𝘁𝗮𝗶𝗻𝘁𝗶𝗲𝘀 𝗶𝗻 𝗮 𝗴𝗿𝗶𝗱𝗱𝗲𝗱 𝗰𝗮𝗿𝗯𝗼𝗻 𝗱𝗶𝗼𝘅𝗶𝗱𝗲 𝗲𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 𝗶𝗻𝘃𝗲𝗻𝘁𝗼𝗿𝘆 by Tomohiro Oda, Rostyslav Bun et al. (2019) https://lnkd.in/gc_pPWG8 𝟯. 𝗛𝗼𝘄 𝗗𝗼 𝗕𝗿𝗮𝘇𝗶𝗹𝗶𝗮𝗻 𝗙𝗶𝗿𝗲𝘀 𝗔𝗳𝗳𝗲𝗰𝘁 𝗔𝗶𝗿 𝗣𝗼𝗹𝗹𝘂𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗣𝘂𝗯𝗹𝗶𝗰 𝗛𝗲𝗮𝗹𝘁𝗵? by M. E. Marlier , E. X. Bonilla and L. J. Mickley (2020) https://lnkd.in/gbxmTvtd See more on the atmospheric modeling topic at https://lnkd.in/gTp5Vqnt Interested in keeping up to date on this topic and others? Visit OiPub.com and follow Topics and Communities to keep up to date. #ResearchFeeds #AcademicPapers #StayUpdated #DiscoverMore #ResearchTools

What's next for science? At #AGU24, it seemed to me that the intersection of satellite observations, in situ measurements, and highly precise models based on machine learning algorithms, will occupy a significant space in the minds of scientists around the globe. Since all these developments rely on the quality of the data they are based on, we decided to focus on a high quality big dataset of water quality across the conterminous USA, and understanding its spatiotemporal structure. I had such an exciting and inspiring week in Washington DC, and look forward to participating in the next American Geophysical Union meetings.

OceanPredict has partnered with IOC-UNESCO to organize the OceanPredict Symposium 2024 (OP’24) “Advancing Ocean Prediction science for societal benefits” that is specifically designed to strengthen the cooperation and partnerships between diverse communities to address sustainable development, blue economy, and societal awareness. In that way, this event will include sessions centered around ocean predictions with a focus on global, basin-scale, coastal, regional, polar ocean and sea ice predictions, new developments in ocean predictions (measurements/observations, modeling, data assimilation, machine learning/AI, digital twins, etc.), ocean prediction systems and services, and user applications and societal benefits. All info here: https://lnkd.in/eH-Sew2A