Podcasts about Orbiting Carbon Observatory

GUEST OVERVIEW: Van Snyder worked as a mathematician and software for the Caltech Jet Propulsion Laboratory for 53 years, providing support for many outer-planet missions from Viking to Voyager to Galileo to Cassini, and Earth-orbiting missions including Upper Atmosphere Research Satellite, TOPEX/Poseidon, NSCAT, Microwave Limb Sounder, and Orbiting Carbon Observatory. About twenty years ago, he began an intense study of energy, especially nuclear power, with mentoring from leaders of the field such as the late George Stanford, William Hannum, Gerald Marsh, and the Acting Director of Argonne National Laboratory Yoon Il Chang.

Spaceflight News— Soyuz MS-22 leak images (HT deltaV: russianspaceweb.com VIA twitter.com/RussianSpaceWeb) — Eric Berger posted a comparison to a confirmed MMOD strike (twitter.com/SciGuySpace) — Katya Pavlushchenko posted photos of orange stains on other Progresses (twitter.com/katlinegrey) — Uncrewed Soyuz MS-23 delayed (spacenews.com) (twitter.com/katlinegrey)— LauncherOne failure (virginorbit.com) (spacenews.com) (spacenews.com)Short & Sweet— H3 rocket aborts at pad (spacenews.com)— Plans for Starship comes back to shore (spacenews.com)— Blue Origin wins ESCAPADE contract (space.com)— Launcher's orbital transfer vehicle fails on orbit (spacenews.com)Questions, Comments, Corrections— Nate Perkins via email: RS-25 certification (youtube.com)— Biarki Weeks: ORCASat summary video (youtube.com VIA: discord.com)This Week in Spaceflight History— 24 Feb, 2009. Loss of the Orbiting Carbon Observatory (en.wikipedia.org) (PDF: nasa.gov) (justice.gov) (llis.nasa.gov)— Next week (2/28 - 3/6) in 1995: Everyone get off the phone. I need to log into space.

This week we hitch a ride on the International Space Station to monitor and understand our CO2 emissions. And we finally get an answer to our question, does our breathing contribute to climate change? Featuring Dr. Abhishek Chatterjee, the project scientist for the Orbiting Carbon Observatory 3 at JPL. Plus, the latest climate news of the week.

In the first episode of our two-part series, we learned how NASA's Orbiting Carbon Observatory made it to space despite overwhelming odds from David Crisp, the mission's principal investigator.Today, we released the sequel, where we explore the science of carbon dioxide remote sensing, and how the data collected by the OCO missions 2 and 3 can be used to address the climate crisis.Dr. David Crisp returns, and with Dr. Annmarie Eldering, NASA Jet Propulsion Laboratory Project Scientist for the OCO-3 mission, explains what we have learned so far from the Orbiting Carbon Observatory missions.

On the 24th of February, 2009, David Crisp was in the control center at Vandenberg Air Force base counting down the seconds for the Orbiting Carbon Observatory to launch.It was a project he had led for a decade - and it was the first NASA mission that would measure atmospheric carbon dioxide from space.Hundreds of millions of dollars and years of work had gone into that moment, but David and his team had yet to face their greatest challenge...This week, Climate Now is releasing a two-part series on NASA's Orbiting Carbon Observatory (OCO) missions, including the saga of its multi-decadal journey to completion and the impact it could have on the fight to end climate change.David Crisp, Senior Research Scientist at NASA's Jet Propulsion Laboratory, shares his experience as the Principal Investigator for the OCO missions with Climate Now in this episode.

When I was given the opportunity to chat with Chris, I wasn't going to pass up on it! However, what to chat about was the tough part? When you read his bio below - you'll understand this is one truly busy man, I had so many things to cover with him! Listen in to hear about the programmes they are managing, how the teams work and a whole lot more. I'll be talking more tech with Chris in a follow up podcast in the next couple of months. Chris Mattman Chris Mattmann is an experienced IT Executive, CTO and Division Manager of the AI, Analytics and Innovative Development Organization in the Information Technology and Solutions Directorate at NASA JPL. At JPL Mattmann is the Chief Technology and Innovation Officer and reports to the CIO and Director for IT, and manages advanced IT research and open source and technology evaluation and user infusion capabilities. Mattmann is JPL's first Principal Scientist in the area of Data Science. The designation of Principal is awarded to recognize sustained outstanding individual contributions in advancing scientific or technical knowledge, or advancing the implementation of technical and engineering practices on projects, programs, or the Institution. He has over 20 years of experience at JPL and has conceived, realized and delivered the architecture for the next generation of reusable science data processing systems for NASA's Orbiting Carbon Observatory, NPP Sounder PEATE, and the Soil Moisture Active Passive (SMAP) Earth science missions. Mattmann's work has been funded by NASA, DARPA, DHS, NSF, NIH, NLM and by private industry and commercial partnerships. He was the first Vice President (VP) of Apache OODT (Object Oriented Data Technology), the first NASA project at the Apache Software Foundation (ASF) and he led the project's transition from JPL to the ASF. He contributes to open source and was a member of the Board of Directors at the Apache Software Foundation (2013-18) where he was one of the initial contributors to Apache Nutch as a member of its project management committee, the predecessor to Apache Hadoop. Mattmann is the progenitor of the Apache Tika framework, the digital "babel fish" and de-facto content analysis and detection framework that exists. Today Mattmann contributes to TensorFlow, Google's technology platform for all things machine learning and has recently finished a book on Machine Learning for TensorFlow, 2nd edition published by Manning Publications. Mattmann is the Director of the Information Retrieval & Data Science (IRDS) group at USC and Adjunct Research Professor. He teaches graduate courses in Content Detection & Analysis & in Search Engines & Information Retrieval. Mattmann has materially contributed to understanding of the Deep Web and Dark Web through the DARPA MEMEX project. Mattmann's work helped uncover the Panama Papers scandal which won the Pulitzer Prize in Journalism in 2017. Twitter

Introduction:In the last episode (it has been a while, go back and listen to it), we talk about the science goals of the JWST mission.Today, we will talk about the technologies in the JWST mission.Launch:JWST is currently scheduled to be launched in Nov 2021.The James Webb Space Telescope will be launched on an Ariane 5 rocket. The launch vehicle is part of the European contribution to the mission. Webb will be launched from Arianespace's ELA-3 launch complex at European Spaceport located near Kourou, French Guiana. It is beneficial for launch sites to be located near the equator - the spin of the Earth can help give an additional push. The surface of the Earth at the equator is moving at 1670 km/hr. Destination:- The James Webb Space Telescope will actually orbit the Sun, 1.5 million kilometers (1 million miles) away from the Earth at what is called the second Lagrange point or L2. What is special about this orbit is that it lets the telescope stay in line with the Earth as it moves around the Sun. This allows the satellite's large sunshield to protect the telescope from the light and heat of the Sun and Earth (and Moon). Sunshield:Webb primarily observes infrared light, which can sometimes be felt as heat. Because the telescope will be observing the very faint infrared signals of very distant objects, it needs to be shielded from any bright, hot sources.The sunshield serves to separate the sensitive mirrors and instruments from not only the Sun and Earth/Moon.Technical Advantages:Near-infrared detectors technology is also being used for Earth science and national security missions. An early pathfinder version of Webb's HAWAII-2RG 4 Megapixel array has been used in several NASA missions including Hubble, Deep Impact/EPOXI, WISE, and the Orbiting Carbon Observatory, and the HAWAII-2RG is already in use at dozens of ground-based observatories around the world.To solve the vibration problem at low temperature, 4D Technology Corporation of Tucson, Arizona has developed several new types of high-speed test devices that utilize pulsed lasers that essentially “freeze out” the effects of vibration.Restoring Hubble: Webb investments in cryogenic Application-Specific Integrated Circuits (ASICs) led to the development of the ASICs that are now flying on the Hubble Space Telescope. Webb's mirror and laser eye surgery: The Webb telescope program has enabled a number of improvements in measurement technology for measurement of human eyes, diagnosis of ocular diseases and potentially improved surgery.Links to Science Outreach Material:McDonald InstituteRoyal Astronomical SocietyAstronomy on TapSpecial thanks to Colin Vendromin for the music also thanks to Zac Kenny for the logo!

Chris shares some of the incredible work and innovations behind deep space exploration at NASA JPL and reflects on the past, present, and future of machine learning. --- Chris Mattman is the Chief Technology and Innovation Officer at NASA Jet Propulsion Laboratory, where he focuses on organizational innovation through technology. He's worked on space missions such as the Orbiting Carbon Observatory 2 and Soil Moisture Active Passive satellites. Chris is also a co-creator of Apache Tika, a content detection and analysis framework that was one of the key technologies used to uncover the Panama Papers, and is the author of "Machine Learning with TensorFlow, Second Edition" and "Tika in Action". Connect with Chris: Twitter: https://twitter.com/chrismattmann Personal website: https://www.mattmann.ai/ --- Timestamps: 0:00 Sneak peek, intro 0:52 On Perseverance and Ingenuity 8:40 Machine learning applications at NASA JPL 11:51 Innovation in scientific instruments and data formats 18:26 Data processing levels: Level 1 vs Level 2 vs Level 3 22:20 Competitive data processing 27:38 Kerbal Space Program 30:19 The ideas behind "Machine Learning with Tensorflow, Second Edition" 35:37 The future of MLOps and AutoML 38:51 Machine learning at the edge Transcription: http://wandb.me/chris-mattmann-podcast Links Discussed: Perseverance and Ingenuity: https://mars.nasa.gov/mars2020/ Data processing levels at NASA: https://earthdata.nasa.gov/collaborate/open-data-services-and-software/data-information-policy/data-levels OCO-2: https://www.jpl.nasa.gov/missions/orbiting-carbon-observatory-2-oco-2 "Machine Learning with TensorFlow, Second Edition" (2020): https://www.manning.com/books/machine-learning-with-tensorflow-second-edition "Tika in Action" (2011): https://www.manning.com/books/tika-in-action --- Get our podcast on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts​​ Spotify: http://wandb.me/spotify​ Google Podcasts: http://wandb.me/google-podcasts​​ YouTube: http://wandb.me/youtube​​ Soundcloud: http://wandb.me/soundcloud​ Join our community of ML practitioners where we host AMAs, share interesting projects and meet other people working in Deep Learning: http://wandb.me/slack​​ Check out our Gallery, which features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, industry leaders sharing best practices, and more: https://wandb.ai/gallery

Timestamps(2:55) Chris went over his experience studying Computer Science at the University of Southern California for undergraduate in the late 90s.(5:26) Chris recalled working as a Software Engineer at NASA Jet Propulsion Lab in his sophomore year at USC.(9:54) Chris continued his education at USC with an M.S. and then a Ph.D. in Computer Science. Under the guidance of Dr. Nenad Medvidović, his Ph.D. thesis is called “Software Connectors For Highly-Distributed And Voluminous Data-Intensive Systems.” He proposed DISCO, a software architecture-based systematic framework for selecting software connectors based on eight key dimensions of data distribution.(16:28) Towards the end of his Ph.D., Chris started getting involved with the Apache Software Foundation. More specifically, he developed the original proposal and plan for Apache Tika (a content detection and analysis toolkit) in collaboration with Jérôme Charron to extract data in the Panama Papers, exposing how wealthy individuals exploited offshore tax regimes.(24:58) Chris discussed his process of writing “Tika In Action,” which he co-authored with Jukka Zitting in 2011.(27:01) Since 2007, Chris has been a professor in the Department of Computer Science at USC Viterbi School of Engineering. He went over the principles covered in his course titled “Software Architectures.”(29:49) Chris touched on the core concepts and practical exercises that students could gain from his course “Information Retrieval and Web Search Engines.”(32:10) Chris continued with his advanced course called “Content Detection and Analysis for Big Data” in recent years (check out this USC article).(36:31) Chris also served as the Director of the USC’s Information Retrieval and Data Science group, whose mission is to research and develop new methodology and open source software to analyze, ingest, process, and manage Big Data and turn it into information.(41:07) Chris unpacked the evolution of his career at NASA JPL: Member of Technical Staff -> Senior Software Architect -> Principal Data Scientist -> Deputy Chief Technology and Innovation Officer -> Division Manager for the AI, Analytics, and Innovation team.(44:32) Chris dove deep into MEMEX — a JPL’s project that aims to develop software that advances online search capabilities to the deep web, the dark web, and nontraditional content.(48:03) Chris briefly touched on XDATA — a JPL’s research effort to develop new computational techniques and open-source software tools to process and analyze big data.(52:23) Chris described his work on the Object-Oriented Data Technology platform, an open-source data management system originally developed by NASA JPL and then donated to the Apache Software Foundation.(55:22) Chris shared the scientific challenges and engineering requirements associated with developing the next generation of reusable science data processing systems for NASA’s Orbiting Carbon Observatory space mission and the Soil Moisture Active Passive earth science mission.(01:01:05) Chris talked about his work on NASA’s Machine Learning-based Analytics for Autonomous Rover Systems — which consists of two novel capabilities for future Mars rovers (Drive-By Science and Energy-Optimal Autonomous Navigation).(01:04:24) Chris quantified the Apache Software Foundation's impact on the software industry in the past decade and discussed trends in open-source software development.(01:07:15) Chris unpacked his 2013 Nature article called “A vision for data science” — in which he argued that four advancements are necessary to get the best out of big data: algorithm integration, development and stewardship, diverse data formats, and people power.(01:11:54) Chris revealed the challenges of writing the second edition of “Machine Learning with TensorFlow,” a technical book with Manning that teaches the foundational concepts of machine learning and the TensorFlow library's usage to build powerful models rapidly.(01:15:04) Chris mentioned the differences between working in academia and industry.(01:16:20) Chris described the tech and data community in the greater Los Angeles area.(01:18:30) Closing segment.His Contact InfoWikipediaNASA PageGoogle ScholarUSC PageTwitterLinkedInGitHubHis Recommended ResourcesDoug Cutting (Founder of Lucene and Hadoop)Hilary Mason (Ex Data Scientist at bit.ly and Cloudera)Jukka Zitting (Staff Software Engineer at Google)"The One Minute Manager" (by Ken Blanchard and Spencer Johnson)

Timestamps(2:55) Chris went over his experience studying Computer Science at the University of Southern California for undergraduate in the late 90s.(5:26) Chris recalled working as a Software Engineer at NASA Jet Propulsion Lab in his sophomore year at USC.(9:54) Chris continued his education at USC with an M.S. and then a Ph.D. in Computer Science. Under the guidance of Dr. Nenad Medvidović, his Ph.D. thesis is called “Software Connectors For Highly-Distributed And Voluminous Data-Intensive Systems.” He proposed DISCO, a software architecture-based systematic framework for selecting software connectors based on eight key dimensions of data distribution.(16:28) Towards the end of his Ph.D., Chris started getting involved with the Apache Software Foundation. More specifically, he developed the original proposal and plan for Apache Tika (a content detection and analysis toolkit) in collaboration with Jérôme Charron to extract data in the Panama Papers, exposing how wealthy individuals exploited offshore tax regimes.(24:58) Chris discussed his process of writing “Tika In Action,” which he co-authored with Jukka Zitting in 2011.(27:01) Since 2007, Chris has been a professor in the Department of Computer Science at USC Viterbi School of Engineering. He went over the principles covered in his course titled “Software Architectures.”(29:49) Chris touched on the core concepts and practical exercises that students could gain from his course “Information Retrieval and Web Search Engines.”(32:10) Chris continued with his advanced course called “Content Detection and Analysis for Big Data” in recent years (check out this USC article).(36:31) Chris also served as the Director of the USC’s Information Retrieval and Data Science group, whose mission is to research and develop new methodology and open source software to analyze, ingest, process, and manage Big Data and turn it into information.(41:07) Chris unpacked the evolution of his career at NASA JPL: Member of Technical Staff -> Senior Software Architect -> Principal Data Scientist -> Deputy Chief Technology and Innovation Officer -> Division Manager for the AI, Analytics, and Innovation team.(44:32) Chris dove deep into MEMEX — a JPL’s project that aims to develop software that advances online search capabilities to the deep web, the dark web, and nontraditional content.(48:03) Chris briefly touched on XDATA — a JPL’s research effort to develop new computational techniques and open-source software tools to process and analyze big data.(52:23) Chris described his work on the Object-Oriented Data Technology platform, an open-source data management system originally developed by NASA JPL and then donated to the Apache Software Foundation.(55:22) Chris shared the scientific challenges and engineering requirements associated with developing the next generation of reusable science data processing systems for NASA’s Orbiting Carbon Observatory space mission and the Soil Moisture Active Passive earth science mission.(01:01:05) Chris talked about his work on NASA’s Machine Learning-based Analytics for Autonomous Rover Systems — which consists of two novel capabilities for future Mars rovers (Drive-By Science and Energy-Optimal Autonomous Navigation).(01:04:24) Chris quantified the Apache Software Foundation's impact on the software industry in the past decade and discussed trends in open-source software development.(01:07:15) Chris unpacked his 2013 Nature article called “A vision for data science” — in which he argued that four advancements are necessary to get the best out of big data: algorithm integration, development and stewardship, diverse data formats, and people power.(01:11:54) Chris revealed the challenges of writing the second edition of “Machine Learning with TensorFlow,” a technical book with Manning that teaches the foundational concepts of machine learning and the TensorFlow library's usage to build powerful models rapidly.(01:15:04) Chris mentioned the differences between working in academia and industry.(01:16:20) Chris described the tech and data community in the greater Los Angeles area.(01:18:30) Closing segment.His Contact InfoWikipediaNASA PageGoogle ScholarUSC PageTwitterLinkedInGitHubHis Recommended ResourcesDoug Cutting (Founder of Lucene and Hadoop)Hilary Mason (Ex Data Scientist at bit.ly and Cloudera)Jukka Zitting (Staff Software Engineer at Google)"The One Minute Manager" (by Ken Blanchard and Spencer Johnson)

As of May, 2017, about 90 percent of all countries around the world have committed to the ambitious Paris Agreement to combat global climate change. But how to confirm that countries are maintaining their pledges, and how can they be encouraged to do better than their pledges? Berkeley climate modeler Inez Fung is part of an international scientific team refining the detection skills of the new Orbiting Carbon Observatory 2, launched in 2014. Series: "Cal Future Forum: Our Changing World" [Science] [Show ID: 33069]

As of May, 2017, about 90 percent of all countries around the world have committed to the ambitious Paris Agreement to combat global climate change. But how to confirm that countries are maintaining their pledges, and how can they be encouraged to do better than their pledges? Berkeley climate modeler Inez Fung is part of an international scientific team refining the detection skills of the new Orbiting Carbon Observatory 2, launched in 2014. Series: "Cal Future Forum: Our Changing World" [Science] [Show ID: 33069]

As of May, 2017, about 90 percent of all countries around the world have committed to the ambitious Paris Agreement to combat global climate change. But how to confirm that countries are maintaining their pledges, and how can they be encouraged to do better than their pledges? Berkeley climate modeler Inez Fung is part of an international scientific team refining the detection skills of the new Orbiting Carbon Observatory 2, launched in 2014. Series: "Cal Future Forum: Our Changing World" [Science] [Show ID: 33069]

As of May, 2017, about 90 percent of all countries around the world have committed to the ambitious Paris Agreement to combat global climate change. But how to confirm that countries are maintaining their pledges, and how can they be encouraged to do better than their pledges? Berkeley climate modeler Inez Fung is part of an international scientific team refining the detection skills of the new Orbiting Carbon Observatory 2, launched in 2014. Series: "Cal Future Forum: Our Changing World" [Science] [Show ID: 33069]

NASA's newest communication antenna improves 24 hour a day communication with near Earth satellites.

NASA EDGE webcasts live from Vandenberg AFB for the launch of the Orbiting Carbon Observatory-2 (OCO) launch. 

NASA EDGE webcasts live from Vandenberg AFB for the launch of the Orbiting Carbon Observatory-2 (OCO) launch. 

A new satellite will take the most precise measurements yet of carbon dioxide around the globe

Scientific American editor Davide Castelvecchi reports from the annual meeting of the American Geophysical Union (AGU) in San Francisco. Subjects include the extinction of the dinosaurs and the Orbiting Carbon Observatory. And CNET Senior Associate Editor Michelle Thatcher gives us the lowdown on netbooks and tablet PCs. Plus, we'll test your knowledge about some recent science in the news. Web sites related to this episode include www.agu.org; crave.cnet.com