AIRMO’s Post

Looking to the Future of Atmospheric Research 🌐 As the use of uncrewed aerial systems in atmospheric research grows, the potential for significant advancements in climate modeling and forecasting increases. According to Dr. Fan Mei, "the future of UAS measurements is bright," with promising implications for future research campaigns and global model improvements. This evolving technology not only enhances data collection across larger spatial scales but also offers unique insights crucial for refining global aerosol-cloud models. 🌤️ Join us in celebrating this pivotal progress in the atmospheric sciences community, made possible by the collaborative efforts at Pacific Northwest National Laboratory, DOE's ARM, and EMSL. Here's to more breakthroughs that help us better understand and protect our planet! 🌏 #Sustainability #ClimateAction #AtmosphericResearch https://lnkd.in/g2T6GhYc

Don't miss the chance to submit your abstract for our session on disturbance hydrology in AGU Fall Meeting 2023! The last date to submit is tomorrow. _____ Disturbances, like climate change and land use, are becoming more prevalent globally, initiating a cascade of changes in hydrologic regimes and biogeochemical processes. This session will highlight contributions focused on quantifying the magnitude and extent of disturbance, leveraging stream data to advance understanding of ecosystem processes, and synthesizing findings for informing water and ecosystem management. We encourage submissions from a range of approaches and measurements such as data assimilation, experimentation, machine learning, modeling, environmental tracers, LiDAR, and remote sensing. Join us in presenting your multi-scale studies that identify large scale controls and connections between catchment-scale processes and regional/global scale patterns.

If you're interested in climate change, geospatial data, and innovative visualization techniques, don't miss Mahyar Aboutalebi's tutorial, which explains how to create animations based on real-time geostationary satellite images.

Sentinel-5 Satellite Imagery: A Powerful Tool for Environmental Monitoring. Air Quality Monitoring in Google Earth engine using Sentinel-5 satellite imagery Link: https://lnkd.in/gArvM-mz The Sentinel-5 satellite, launched in 2017, is a polar-orbiting satellite that provides continuous global coverage of air quality data. It is operated by the European Space Agency (ESA) as part of the Copernicus Earth observation program. Sentinel-5 carries the Tropospheric Monitoring Instrument (TROPOMI), a state-of-the-art spectrometer that measures sunlight reflected off the Earth's surface in a wide range of wavelengths. This data can be used to measure a variety of atmospheric gases, including nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), carbon monoxide (CO), methane (CH4), and formaldehyde (HCHO). Sentinel-5 data is used for a wide variety of applications, including: Air quality monitoring:Monitoring air pollution levels and tracking trends over time Climate change research: Understanding the impact of human activities on the atmosphere Environmental monitoring: Monitoring volcanic eruptions, wildfires, and other environmental events Here are some of the benefits of using Sentinel-5 satellite imagery: Global coverage: Sentinel-5 provides continuous global coverage, so it can be used to monitor air quality anywhere in the world. High resolution:Sentinel-5 data has a resolution of 7 kilometers, which is fine enough to see individual cities and power plants. Frequent observations:Sentinel-5 makes observations every 24 hours, so it can provide a near-real-time picture of air quality. How Sentinel-5 Satellite Imagery Works: The Sentinel-5 satellite measures sunlight reflected off the Earth's surface in a wide range of wavelengths. This data can be used to measure a variety of atmospheric gases because different gases absorb different wavelengths of light. For example, nitrogen dioxide (NO2) absorbs light in the blue and green wavelengths of light. This means that NO2-polluted areas will appear darker in Sentinel-5 images. Join our telegram group: https://lnkd.in/gG_64haE #remotesensing #airquality #googleearthengine #earthobservation #earthscience https://lnkd.in/gArvM-mz

As some one who is deeply interested in remote sensing, this is one I find really interesting https://lnkd.in/dzVx5rEU

🌍 Exciting developments in atmospheric research! Led by our Pacific Northwest National Laboratory (PNNL) team, recent studies utilize uncrewed aerial systems (UAS) to enhance our understanding of aerosol particles. These particles play a crucial role in our climate by affecting Earth's cloud formation and energy balance. 🛰️ Combining cutting-edge UAS technology with sophisticated surface analysis methods like ToF-SIMS at the Environmental Molecular Sciences Laboratory, this research sheds new light on the 3-D structure of aerosol surfaces. Such insights are crucial for refining Earth system models and improving climate projections. 🌧️ This innovative approach represents a significant step forward in atmospheric sciences, leveraging technology to bridge observational gaps and advance our understanding of climate dynamics. #AtmosphericScience #ClimateChange #Innovation #ARM #EMSL #NASC https://lnkd.in/gSSkNivB

Sentinel-5 Satellite Imagery: A Powerful Tool for Environmental Monitoring. Air Quality Monitoring in Google Earth engine using Sentinel-5 satellite imagery Link: https://lnkd.in/gN45P-Wb The Sentinel-5 satellite, launched in 2017, is a polar-orbiting satellite that provides continuous global coverage of air quality data. It is operated by the European Space Agency (ESA) as part of the Copernicus Earth observation program. Sentinel-5 carries the Tropospheric Monitoring Instrument (TROPOMI), a state-of-the-art spectrometer that measures sunlight reflected off the Earth's surface in a wide range of wavelengths. This data can be used to measure a variety of atmospheric gases, including nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), carbon monoxide (CO), methane (CH4), and formaldehyde (HCHO). Sentinel-5 data is used for a wide variety of applications, including: Air quality monitoring:Monitoring air pollution levels and tracking trends over time Climate change research: Understanding the impact of human activities on the atmosphere Environmental monitoring: Monitoring volcanic eruptions, wildfires, and other environmental events Here are some of the benefits of using Sentinel-5 satellite imagery: Global coverage: Sentinel-5 provides continuous global coverage, so it can be used to monitor air quality anywhere in the world. High resolution:Sentinel-5 data has a resolution of 7 kilometers, which is fine enough to see individual cities and power plants. Frequent observations:Sentinel-5 makes observations every 24 hours, so it can provide a near-real-time picture of air quality. How Sentinel-5 Satellite Imagery Works: The Sentinel-5 satellite measures sunlight reflected off the Earth's surface in a wide range of wavelengths. This data can be used to measure a variety of atmospheric gases because different gases absorb different wavelengths of light. For example, nitrogen dioxide (NO2) absorbs light in the blue and green wavelengths of light. This means that NO2-polluted areas will appear darker in Sentinel-5 images. Join our telegram group: https://lnkd.in/gSujQRA #remotesensing #airquality #googleearthengine #earthobservation #earthscience https://lnkd.in/gN45P-Wb

🌐 Exciting News: Newly Published Research Article! 🚀 I am thrilled to share the publication of our research article, "A remote sensing algorithm for vertically resolved cloud condensation nuclei number concentrations from airborne and spaceborne lidar observations." This work delves into the heart of aerosol–cloud interactions (ACIs) and addresses critical uncertainties in our understanding of global climate change. 🔗 Weblink to the Full Article: https://lnkd.in/dTtNy9XU 🌍 Abstract Overview: Cloud condensation nuclei (CCN) play a pivotal role in ACIs, contributing to the major uncertainties in global climate change studies. Our innovative remote-sensing algorithm, detailed in the article, quantifies vertically resolved CCN number concentrations (NCCN) using aerosol optical properties measured by a multiwavelength lidar. The algorithm considers various aerosol subtypes, providing a nuanced understanding with bimodal size distributions. 🌐 Global Impact: This algorithm opens avenues for constructing a 3D CCN climatology at a global scale. This groundbreaking capability enables us to better quantify ACI effects, contributing to the reduction of uncertainties in aerosol climate forcing. 📚 Acknowledgments: I want to express my gratitude to the team involved and our collaborators for their dedication and expertise in making this research possible. I invite you to explore the full article and share your thoughts on this significant advancement in our understanding of aerosol–cloud interactions. Your feedback is invaluable as we continue pushing the boundaries of climate research. #research #atmospheric #climatescience #aerosol #cloud #aci #satellites #satellitedata #remotesensing #environmentalscience #scientificadvancement

Fundamentals of Satellite Remote Sensing: An Environmental Approach (2nd Edition) - PDF Download for only $11.00

Great to see that the Virtual Integration of Satellite and In-Situ Observation Networks (VISION) project has been funded through the NERC-Met Office TWINE programme for digital twins of the natural environment (https://lnkd.in/ezu6H9Rk). The National Centre for Atmospheric Science led team, including Luke Abraham and Maria Russo, will be combining atmospheric observations and models to optimise flight paths for research aircraft so that future research missions are more efficient with lower CO2 emissions. #digitaltwin #environment #carbonemissions