Results 151 to 160 of about 1,316 (257)

Resolved tropical cyclones trigger CO₂ uptake and phytoplankton bloom in an Earth system model simulation. [PDF]

Proc Natl Acad Sci U S A
Nielsen DM, Chegini F, Serra N, Kumar A, Brüggemann N, Hohenegger C, Ilyina T.   +6 more
europepmc   +1 more source

Data Driven Reconstruction of Upper Ocean Profiles for Improved State Estimation in the Philippine Sea

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract Despite significant advances in observational systems such as the global Argo array of autonomous profiling floats, the spatiotemporal coverage of subsurface ocean observations remains limited compared to the dense data provided by satellite platforms. This study develops a data‐driven framework to reconstruct synthetic profiles of upper ocean
Guangpeng Liu, Brian Powell
wiley   +1 more source

A dataset for machine learning model to convective initiation detection and nowcasting over southeastern China. [PDF]

Sci Data
Liu Y, Xiong A, Liu N, Li Y, Chen Z.
europepmc   +1 more source

ML‐EPM: A Machine Learning Model of Auroral Electron Precipitation Spectra Using Long‐Term DMSP Observations

Space Weather, Volume 24, Issue 8, August 2026.
Abstract Auroral precipitation plays a key role in coupling the Magnetosphere–Ionosphere–Thermosphere system by modifying ionospheric conductance, currents, atmospheric heating, and upper‐atmospheric dynamics. Leveraging 17 years of electron spectrum data from the Defense Meteorological Satellite Program (DMSP), we developed a Machine Learning‐based ...
V. Sai Gowtam, Hyunju Connor
wiley   +1 more source

Recognition of chlorophyll rings using YOLOv8. [PDF]

Sci Rep
Xu G, Lin Z, Shi Y, Wu J, Xu H, Wang G, Zhang T.   +6 more
europepmc   +1 more source

Forecasting Coastal ENSO Warming in the Niño 1+2 Region Using ConvLSTM: Toward Improved Early Warning in Peru and Ecuador

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Accurate forecasting of the El Niño‐Southern Oscillation (ENSO) is essential for improving regional climate resilience and managing water‐related risks. While most deep learning studies have focused on the Niño 3.4 region, the Niño 1+2 region, closely linked to extreme coastal warming associated with ENSO that impacts water infrastructure ...
Kennedy Richard Gomez‐Tunque, Eusebio Ingol‐Blanco, Ronald R. Gutierrez, Jesus Mejia‐Marcacuzco, Eduardo Chávarri‐Velarde, Edwin Pino‐Vargas   +5 more
wiley   +1 more source

Typhoon short-term heavy precipitation warning based on dual-polarization radar observations of precipitation particle vertical distribution. [PDF]

Sci Rep
Fang R, Wang T, Liu H.
europepmc   +1 more source

Climatology of Storm Characteristics for Sub‐Daily Heavy Precipitation in the Greater Alpine Region

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Characterizing storms that generate heavy precipitation across different timescales is essential for parameterizing and assessing stochastic weather generators, evaluating climate models, enhancing risk management, and understanding climate change impacts.
Eleonora Dallan, Francesco Marra, Georgia Papacharalampous, Hayley J. Fowler, Marco Borga   +4 more
wiley   +1 more source

Convection Parameters from Remote Sensing Observations over the Southern Great Plains. [PDF]

Sensors (Basel)
Hoffman K, Demoz B.
europepmc   +1 more source

Assimilation of All‐Sky TROPICS Constellation Radiance Data in the NASA Goddard Earth Observing System (GEOS)

Earth and Space Science, Volume 13, Issue 8, August 2026.
Abstract This study examines the impact of assimilating all‐sky microwave radiances from the Time‐Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS) mission within the NASA Global Earth Observing System (GEOS) data assimilation and forecasting framework based on the Gridpoint Statistical ...
Min‐Jeong Kim, Scott A. Braun, William J. Blackwell, R. Vince Leslie, Nikki Privé   +4 more
wiley   +1 more source