Wildfires reverse decade of ozone cleanup in the United States, study reveals https://phys.org/news/2026-06-wildfires-reverse-decade-ozone-cleanup.html
Wildfires are reversing America's progress on ozone pollution
Off the coast of California, dozens of marine protected areas have been established in recent decades.
These patches of the open ocean either prohibit or tightly restrict commercial and recreational fishing.
Off the coast of Santa Barbara, we set sail with members of the environmental group Santa Barbara Channelkeeper to learn about what's being done to protect our marine habitat.
Renewable hydrogen could be a game-changer for industries that can't easily go electric.
UC Irvine researchers mapped out where it delivers the biggest wins: steelmaking, ocean shipping, and heavy trucking. The payoff? Cleaner air, better health, and real climate progress.
The challenge is cost and scale, but this framework helps decision-makers invest where it matters most.
Wildfires are making the US smoggy again, reversing progress on cleaner air, study finds (Seth Borenstein/Associated Press)
https://apnews.com/article/smog-wildfires-climate-change-ozone-artificial-intelligence-bc9cde6da8ae4019cc07b800c70106ad
http://www.memeorandum.com/260604/p120#a260604p120
🔊 #NowPlaying on #BBCRadio3:
#OperaOn3
- Puccini's Turandot
Puccini's final opera live from the Metropolitan Opera in New York, starring Anna Pirozzi as the vengeful princess Turandot and Brian Jagde as Prince Calaf. Oksana Lyniv conducts.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002wg3x
Nearly 39,000 Acres of Land Returned to California Tribes
The California Natural Resources Agency,
in partnership with the CAL FIRE and the Ocean Protection Council
awarded $107.7 million to fund 33 projects
and support the return of approximately 38,950 acres of land to California Native American tribes
through the Tribal Nature-Based Solutions grant program.
Funding will support the return of ancestral lands to tribal ownership and stewardship,
pla…
Crosslisted article(s) found for cs.PF. https://arxiv.org/list/cs.PF/new
[1/1]:
- Attention at the Theoretical Minimum: A Mathematics of Arrays Framework for Memory-Optimal Transf...
Lenore Mullin, Gaetan Hains
https://arxiv.org/abs/2606.07713 https://mastoxiv.page/@arXiv_csLG_bot/116719339788828558
- An Empirical Comparison of General Context-Free Parsers
Huan Vo, Danushka Liyanage, Hong Jin Kang, Sasha Rubin, Rahul Gopinath
https://arxiv.org/abs/2606.08465 https://mastoxiv.page/@arXiv_csFL_bot/116718996893368453
- Fairness-Aware and Latency-Controllable Scheduling for Chunked-Prefill LLM Serving
Haoxin Liu, Jiayi Wang, Yueshen Xu, Rui Li
https://arxiv.org/abs/2606.09061 https://mastoxiv.page/@arXiv_csDC_bot/116719152021398104
- Correlation Is Not Enough: Embedding Human Metadata for Individual Causal Discovery
Suraj Biswas, Saurabh Gupta, Pritam Mukherjee
https://arxiv.org/abs/2606.09672 https://mastoxiv.page/@arXiv_csAI_bot/116719417844314505
- AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis
Jaber Jaber, Osama Jaber
https://arxiv.org/abs/2606.09682 https://mastoxiv.page/@arXiv_csLG_bot/116719454809500736
- An 84-Format Numeric Catalog with Bit-Exact Conformance Vectors: A Vendor-Neutral Reference for F...
Dmitrii Vasilev
https://arxiv.org/abs/2606.09686 https://mastoxiv.page/@arXiv_csAR_bot/116718979590686345
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Joint elastic full waveform inversion of multi-component geophone and distributed acoustic sensing data
Hoang Anh Nguyen, Ali Tura
https://arxiv.org/abs/2607.01649 https://arxiv.org/pdf/2607.01649 https://arxiv.org/html/2607.01649
arXiv:2607.01649v1 Announce Type: new
Abstract: Joint full waveform inversion (FWI) of distributed acoustic sensing (DAS) and ocean-bottom node (OBN) data typically requires converting measured strain to particle velocity, introducing numerical noise and spectral distortion. To eliminate this, we present an elastic multi-parameter FWI framework using a velocity-stress-strain (VSS) formulation that directly models pressure, particle velocity, and gauge-length-averaged DAS strain from a single forward simulation. Data residuals are injected additively into a single backward simulation, making computational cost independent of the active sensor subsets. We benchmark individual and combined datasets on cross-talk and elastic Marmousi models. Our results show that joint inversion recovers elastic parameters more accurately than single deployments when the sensors offer complementary information. Specifically, pairing two-component geophones with a deviated borehole DAS cable yields the most accurate parameter recovery and mitigates inter-parameter cross-talk by providing a distinct physical observable and complementary depth aperture. We release our implementation as xFWI, an open-source, Devito-based Python package for scalable, multi-deployment inversions.
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