Podcasts about trmm

Spaceflight News-- Falcon 9 Return to Flight (spacenews.com) (nasaspaceflight.com) (spacenews.com) (nasaspaceflight.com)Short & Sweet-- ABL Static fire failure (spacenews.com)-- Starliner Debugging (spacenews.com)Questions, Comments, Corrections-- The RAX bug was caused by differing clocks (youtube.com)Interview -- Martin Frederick, Northrop Grumman Corporate Director, Civil Space Programs-- linkedin.com-- Further reading: -- JWST (northropgrumman.com) -- TRMM (gpm.nasa.gov) (trmm.gsfc.nasa.gov)This Week in Spaceflight History-- July 31, 1992: Launch of Atlantis on STS-46 (en.wikipedia.org) (americaspace.com) -- EURECA was also the subject of a TWSF about STS-57 (theorbitalmechanics.com) -- TSS-1 was also the subject of a TWSF about STS-75 (theorbitalmechanics.com)-- Next week (8/6 - 8/12) in 1992: The zeroth argonaut.

In this episode, host Andrew Geary speaks with Mohamed Ahmed on geophysical test sites. In this conversation, Mohamed highlights the importance of field exercises, why geophysical test sites can act as a competitive advantage, and the many ways test sites can be used by students and companies (for free). This conversation showcases the importance of experiential learning in novel ways. Visit https://seg.org/podcast for the complete show notes and links to read the articles in March's The Leading Edge. Editor's Note: The construction of the geophysical test site at Texas A&M University-Corpus Christi was supported by the university, as well as the Corpus Christi Geological Society. BIOGRAPHY Dr. Mohamed Ahmed is an Assistant Professor of Geophysics at Texas A&M University-Corpus Christi. His work focuses on applying integrated (geophysics, remote sensing, hydrogeology, modeling, GIS) approaches to investigate a wide range of complex problems. His current research activities involve the use of gravity data (i.e., GRACE, EGM, ground-based), magnetic data (i.e., airborne and ground-based), electromagnetic data (i.e., VLF, GPR), electric data (i.e., VES and profiling), geochemical analyses (i.e., oxygen, hydrogen, and carbon isotopes), remote sensing data (i.e., TRMM, GPM, SMAP, CMAP, Landsat, LiDAR, PALSAR, ERS, Envisat, SPOT, ASTER, GeoEye) and techniques, hydrological (i.e., SWAT), land surface (i.e., GLDAS, CLM), and climate (i.e., CESM) models, statistical approaches (i.e., artificial neural network, linear regression), as well as GIS methodologies and techniques (i.e., web-based GIS) to address a variety of geophysical, geological, hydrological, and environmental problems. SPONSOR This episode is sponsored by TGS. TGS offers a wide range of energy data and insights to meet the industry where it’s at and where it’s headed. TGS provides scientific data and intelligence to companies active in the energy sector. In addition to a global, extensive and diverse energy data library, TGS offers specialized services such as advanced processing and analytics alongside cloud-based data applications and solutions. Visit https://www.tgs.com to learn more. CREDITS Original music by Zach Bridges. This episode was hosted, edited, and produced by Andrew Geary at 51 features, LLC. Thank you to the SEG podcast team: Ted Bakamjian, Jennifer Crockett, Ally McGinnis, and Mick Swiney.

Today’s guest is Frank Marks, legendary NOAA meteorologist and tropical cyclone expert. Since the 1980s, he’s flown 10,000 hours on NOAA’s P3 Orion aircraft, including through many, many hurricanes. Marks, who now leads NOAA’s Hurricane Research Division, clearly enjoys learning. He shares some of his favorite experiences with us. The P3 Orion Marks discusses the P3 aircraft capabilities and describes flying into his first hurricane, Hurricane Alan. After that ride, he explains, seeing the data coming in through all the instruments, he was hooked. He discusses early experiments trying to understand the nature of the hurricane eyewall replacement cycle. The Doppler revolution In 1981, another highlight for Marks was the addition of Doppler radar to the P3 aircraft, which he describes as a revolutionary technique for understanding the three-dimensional structure of storms. Marks details the ways that Doppler, which he calls a “CAT scan of the wind,” improved scientific understanding of hurricanes. A watershed for meteorologists, Doppler data helped scientists figure out storm structure and how they work. He recalls the enthusiasm with which he and his colleagues “did some of the best science ever.” Surviving Hugo One of Marks’s scariest experiences, complete with a P3 engine on fire, involves flying into category 5 Hurricane Hugo at 1,500 feet. It wasn’t exactly planned, he explains, to fly that low into wind speeds over 150 MPH. He describes the miscalculations, the incredible view — and how the crew survived the experience. “The data was incredible,” he says, “And it was a labor of love to analyze.” Rainfall climatology Over and over, Marks says, serendipity played a role in his work. He describes working with a NASA team interested in tropical storms called the Tropical Rainfall Measuring Mission (TRMM), a satellite system that examined storms around the globe. By chance he stopped to chat with the TRMM chief scientist, and he ended up volunteering to analyze the TRMM hurricane data — which had yet to be examined. That, in turn, led to a project that used TRMM to devise global climatology for 700 tropical systems. Connecting to TACC In 2008, after a series of active and damaging hurricane seasons, NOAA formed a committee to improve forecasts, which became the Hurricane Forecast Improvement Project that Marks now leads. By chance, the team was offered 1 million hours on the newly available Texas Advanced Computer Center – an opportunity to put the new system through its paces. Marks describes the challenge of feeding large weather datasets to the models on the TACC system. Fortunately, the data scientist on his team made it all work. That pioneering experiment laid the groundwork for today’s weather scientists to use supercomputers like TACC for accurate and real-time hurricane forecasts.

You Asked, We Answered! Transcript for the podcast Many schools will have a rain gauge installed, where students can measure and record the amount of rain that falls each day. But scientists do not measure precipitation on the ground – they measure precipitation from space, using a combination of active and passive remote-sensing techniques, improving the spatial and temporal coverage of precipitation observations on a global scale.  You see, reliable ground-based precipitation measurements are difficult to obtain because most of the world is covered by water, and many countries do not have precise rain measuring equipment (such as rain gauges and radar). Precipitation is also difficult to measure because precipitation systems can be somewhat random and can evolve very rapidly. During a storm, precipitation amounts can vary greatly over a very small area and over a short time span. There are two important satellites to be familiar with when it comes to measuring precipitation from space. The first one was a joint mission between NASA and the National Space Development Agency of Japan called The Tropical Rainfall Measuring Mission, or TRMM, spelled TRMM.  TRMM was launched in 1997 with a primary mission of measuring tropical and subtropical rainfall, and was the only satellite of its time to carry weather radar.  TRMM was only supposed to last for three years, but it exceeded expectations by collecting 17 years of rainfall data, creating a benchmark for rainfall climatology which is used to test, compare and improve global climate models. Unfortunately, the fuel source was eventually depleted, and the spacecraft re-entered the Earth’s atmosphere and mostly burned up in 2015. Although we have lost TRMM, we are excited to have The Global Precipitation Measurement mission, or GPM. Run by a consortium of international space agencies and launched in 2014, GPM is an international network of satellites that provide the next-generation of global observations of rain and snow. Not only will there be improved measurements of precipitation globally, but we will be able to advance our understanding of Earth’s water and energy cycle, improve forecasting of extreme events that cause natural hazards and disasters, and extend current capabilities in using accurate and timely information of precipitation to directly benefit society. It is impressive that the GPM spacecraft, along with existing and future satellites, will map global rainfall and snowfall every three hours! To summarize, measuring precipitation from space is important for scientists, as visible and infrared space-borne sensors can provide precipitation information inferred from cloud-top radiation, and microwave sensors provide direct precipitation measurement based on radiative signatures of precipitating particles. This type of information is not available through ground-based measuring systems. And that is how scientists measure rainfall. (This audio file was recorded by Laura Guertin on July 22, 2015) In the PAESTA Classroom Identifying Global Patterns and Connections with the 2007 GLOBE Earth System Maps/Poster Data Visualization Activity: An example with global precipitation data (one additional exercise coming soon to the PAESTA Classroom!) If you have any follow-up questions about this podcast, please contact the podcast author Laura Guertin (gueritn@psu.edu (link sends e-mail)) https://www.paesta.psu.edu/podcast/paesta-podcast-series-episode-3-how-do-scientists-measure-rainfall

日常生活に深い関わりをもつばかりではなく、気候変動や地球温暖化の影響をその分布や変動から知ることができる「雨」。熱帯降雨観測衛星（TRMM）はその雨を正確に観測することができる人工衛星です。日米共同の取組みとして観測成果への国際的な評価も高いTRMMの10年のあゆみをふりかえります。 解説者：宇宙利用推進本部　地球観測研究センター　主任研究員　沖理子 聞き手：科学ジャーナリスト　寺門 和夫 氏