Results 191 to 200 of about 58,112 (321)

Constraining Atmospheric Methanethiol Estimates Over the Southern Ocean

Geophysical Research Letters, Volume 52, Issue 18, 28 September 2025.
Abstract Dimethyl sulfide (DMS) and methanethiol (MeSH) are biologically co‐produced marine volatile sulfur compounds, which play a critical role in climate‐cooling aerosol formation. The spatio‐temporal distributions of MeSH are poorly constrained, especially over the Southern Ocean.
Caleb Mynard, Emily B. Franklin, Joel Alroe, Nigel Somerville, Antonio Patti, Steven T. Siems, Alastair Williams, Marc D. Mallet, Ruhi Humphries, Erin Dunne   +9 more
wiley   +1 more source

Global distribution and seasonality of active fires as observed with the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) sensors

, 2006
L. Giglio, I. Csiszar, C. Justice
semanticscholar   +1 more source

Defining the Agricultural Wet Season in Africa Using Soil Moisture From the Soil Moisture Active‐Passive Satellite

Geophysical Research Letters, Volume 52, Issue 18, 28 September 2025.
Abstract The wet season is commonly defined based on daily precipitation accumulation, which represents water inputs but does not account for losses from evaporation, infiltration, and runoff. Here, we estimate root‐zone soil moisture using observations from the Soil Moisture Active Passive (SMAP) satellite to capture year‐to‐year variations in ...
Christopher Chalmers, Yan Zhang, Jingfeng Xiao, Xing Li, Angela Rigden   +4 more
wiley   +1 more source

Applying the Dark Target Aerosol Algorithm with Advanced Himawari Imager Observations During the KORUS-AQ Field Campaign [PDF]

For nearly 2 decades we have been quantitatively observing the Earth's aerosol system from space at one or two times of the day by applying the Dark Target family of algorithms to polar-orbiting satellite sensors, particularly MODIS and VIIRS.
Gupta, Pawan, Heidinger, Andrew K., Holz, Robert E., Levy, Robert C., Mattoo, Shana, Remer, Lorraine A.   +5 more
core   +1 more source

Going Off Grid: A Comparative Study of the Lagrangian and Eulerian Perspectives of New Particle Formation Events

Journal of Geophysical Research: Atmospheres, Volume 130, Issue 18, 28 September 2025.
Abstract New particle formation and growth (NPF&G) is the process by which ultrafine particles are formed from gas‐phase precursors. NPF&G is the dominant source of global aerosol number with important influences on climate. Most observations of NPF&G events are conducted at stationary sites; however, NPF&G observed from stationary sites is influenced ...
Samuel E. O’Donnell, Betty Croft, Bonne Ford, Nicole A. June, Chongai Kuang, Ashish Singh, Rachel Y.‐W. Chang, Don R. Collins, Simo Hakala, Shantanu H. Jathar, Pauli Paasonen, Manish Shrivastava, James N. Smith, Jeffrey R. Pierce   +13 more
wiley   +1 more source

TEMPO Aerosol Optical Depth and Aerosol Layer Height Retrieval Algorithm

Journal of Geophysical Research: Atmospheres, Volume 130, Issue 18, 28 September 2025.
Abstract We developed an aerosol optical depth (AOD) and aerosol layer height (ALH) retrieval algorithm for Tropospheric Emissions: Monitoring of Pollution (TEMPO), the first geostationary sensor for monitoring air pollution over North America by enhancing state‐of‐the‐art algorithms originally developed for polar‐orbiting satellites to generate a ...
Hai Zhang, Shobha Kondragunta, Pubu Ciren   +2 more
wiley   +1 more source

Dust transport and deposition observed from the Terra‐Moderate Resolution Imaging Spectroradiometer (MODIS) spacecraft over the Atlantic Ocean

, 2005
Y. Kaufman, I. Koren, L. Remer, D. Tanré, P. Ginoux, S. Fan   +5 more
semanticscholar   +1 more source

MODIS - Moderate Resolution Imaging Spectroradiometer: NASA's Earth Observing System

National Aeronautics and Space Administration (NASA) brochure about MODIS (Moderate Resolution Imaging Spectroradiometer).
openaire   +1 more source

A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System

, 2010
M. Lefsky
semanticscholar   +1 more source

AI-powered spatiotemporal imputation and prediction of chlorophyll-a concentration in coastal ecosystems. [PDF]

Nat Commun
Zhang F, Kung H, Zhang F, Yang C, Gan J.
europepmc   +1 more source