NASA LIVE VIDEO PODCAST

About NASA LIVE VIDEO PODCAST

Welcome to the NASA Live Video Podcast, your ultimate audio-visual gateway to the cosmos. Positioned at the intersection of cutting-edge Science, astronomy, and aerospace technology, this podcast is dedicated to bringing the wonders of the universe directly to space enthusiasts, students, and curious minds worldwide. Every episode explores the frontier of space exploration, featuring in-depth discussions on historic orbital missions, deep-space discoveries, and the groundbreaking science shaping our future. Go behind the scenes with exclusive insights, comprehensive breakdowns of live mission updates, and expert perspectives on cosmic phenomena. Whether you are fascinated by astrophysics, curious about the latest satellite technology, or want to follow humanity's journey to Mars and beyond, the NASA Live Video Podcast provides a professional and engaging look into the stars. Subscribe today to stay connected with the universe and explore the science that drives us forward.

Publisher

NASA

Category

science

Language

en

Explicit

No

First episode

9 Jul 2026

Latest episode

14 Oct 2026

Latest episodes

83 episodes in the feed.

1. 

   14 Oct 2026

   NASA ARSET - Drought Prediction Using NASA Sub-Seasonal To Seasonal (S2S) Predictions

   Welcome to this advanced predictive hydrology and climate modeling episode of the NASA Live Video Podcast: "NASA ARSET: Drought Prediction Using NASA Sub-Seasonal to Seasonal (S2S) Predictions." In this episode, featured as part of NASA's Applied Remote Sensing Training (ARSET) series, we explore how NASA’s Sub-Seasonal to Seasonal (S2S) climate forecasts bridge the critical operational gap between short-range weather forecasting (1–14 days) and long-term seasonal climate outlooks (3–6 months). Predicting drought conditions across the S2S timeframe—typically 2 to 6 weeks in advance—is essential for proactive agricultural risk management, water resource allocation, and early disaster warning before severe hydrologic deficits manifest. We examine the computational modeling architectures and satellite data assimilation techniques powering NASA’s S2S prediction systems, such as the Goddard Earth Observing System (GEOS) S2S framework and the North American Multi-Model Ensemble (NMME). Discover how spaceborne observations—including SMAP soil moisture anomalies, GRACE-FO terrestrial water storage, MODIS/VIIRS evaporative demand, and sea surface temperature (SST) dynamics—are integrated into coupled land-atmosphere prediction models. Furthermore, we demonstrate operational workflows for evaluating probabilistic S2S drought forecasts, interpreting soil moisture and precipitation forecasts, and translating complex climate model outputs into actionable decision-support metrics for agricultural extension officers and water managers. Whether you are a hydro-climatologist, an agricultural risk analyst, a water resource planner, a GIS specialist, or a space enthusiast eager to understand how NASA predicts environmental extremes weeks in advance, this episode delivers essential technical and practical guidance. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, climate prediction tools, and cutting-edge earth science!

2. 

   9 Oct 2026

   NASA ARSET Introduction To The Aerosol Robotic Network (AERONET)

   Welcome to this foundational atmospheric physics episode of the NASA Live Video Podcast: "NASA ARSET: Introduction to the Aerosol Robotic Network (AERONET)." In this episode, featured as part of NASA's Applied Remote Sensing Training (ARSET) program, we introduce the architecture, physical principles, and global importance of the Aerosol Robotic Network (AERONET). Aerosols—tiny solid and liquid particles suspended in the atmosphere, ranging from desert dust and wildfire smoke to urban pollution and sea salt—play a critical role in Earth's radiation budget, cloud formation, climate forcing, and human respiratory health. We explore the core instrumentation driving AERONET: federated, standardized networks of automated ground-based CIMEL sun and sky scanning radiometers. Discover how direct-sun spectral irradiance measurements calculate column-integrated Aerosol Optical Depth (AOD) across multiple wavelengths, and how sky-radiance angular measurements invert particle size distributions, complex refractive indices, and single scattering albedo. Furthermore, we highlight how AERONET serves as the international gold standard for validating satellite-based aerosol retrievals (from MODIS, VIIRS, TROPOMI, and PACE) and refining global atmospheric transport and climate models. Whether you are an atmospheric scientist, an environmental health specialist, an air quality analyst, a GIS technician, or a space enthusiast looking to understand how NASA monitors atmospheric particles from the ground, this episode provides essential foundational clarity. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, remote sensing training, and cutting-edge earth science!

3. 

   8 Oct 2026

   Hands-On Analysis of AERONET Data

   Welcome to this practical atmospheric data science episode of the NASA Live Video Podcast: "Hands-On Analysis of AERONET Data." In this episode, we deliver an operational, step-by-step technical walkthrough for accessing, processing, and analyzing observations from NASA’s Aerosol Robotic Network (AERONET)—the global benchmark for ground-based aerosol remote sensing. While spaceborne sensors provide wide spatial coverage, ground-based sun photometer networks like AERONET offer the high-precision spectral optical depth measurements necessary to validate satellite aerosol retrievals, calibrate atmospheric correction models, and monitor localized air quality dynamics. We examine the core data architecture and quality levels (Level 1.0, 1.5, and 2.0) across AERONET’s data products. Discover how to programmatically query and download spectral Aerosol Optical Depth (AOD), Ångström Exponent, single scattering albedo, and volume size distributions using the AERONET Web API, Python libraries (pandas, xarray, matplotlib), and R geospatial packages. Furthermore, we demonstrate hands-on workflows for performing time-series trend analysis, evaluating aerosol particle sizing, and executing co-located validation comparisons between AERONET ground stations and satellite sensors like MODIS, VIIRS, and TROPOMI. Whether you are an atmospheric scientist, a satellite remote sensing analyst, an air quality researcher, a GIS data specialist, or a space enthusiast eager to work directly with NASA's gold-standard aerosol datasets, this episode offers vital hands-on technical guidance. Subscribe to the NASA Live Video Podcast to stay at the absolute forefront of space exploration, atmospheric monitoring tools, and cutting-edge earth science!

Contact NASA LIVE VIDEO PODCAST

Guest appearances

Does not typically book guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.