Results 241 to 250 of about 759,000 (336)

Confronting Historical Precipitation Trends in Models With Observations: Forced Signal and Atmospheric Internal Variability

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract Future precipitation projections rely heavily on climate models, underscoring the need to evaluate their ability to simulate historical precipitation changes. Using multiple atmospheric models and ensemble simulations, we estimate the forced signals driven by sea surface warming and the direct effects of greenhouse gases and aerosols, as well ...
Wengui Liang, Ming Zhao, Zhihong Tan, Thomas Knutson, Wenhao Dong, Bosong Zhang   +5 more
wiley   +1 more source

Biophysical response of the central South China sea to autumn typhoons revealed by tropical storm Nakri. [PDF]

Sci Rep
Wang T.
europepmc   +1 more source

Reduction of Global Sulfate Aerosol Concentration and Corresponding Radiative Effects From Recent Chinese SO2 ${\text{SO}}_{2}$ Emission Reduction

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract Anthropogenic emissions over China have recently declined due to environmental actions. This work estimates the sensitivity of sulfate aerosol (SO4 ${\text{SO}}_{4}$) concentration to the amount of SO2 ${\text{SO}}_{2}$ emissions reduction over China from 2010 to 2020 using an Earth system model with two different aerosol representations.
Warren P. Smith, Simone Tilmes, Benjamin Gaubert, Claire Granier, Yunqian Zhu, Oliver Eppers, Franziska Köllner, Philipp Brauner, Andrew Rollins, Eleanor Waxman, Gregory Schill, Colin Gurganus, L. Gregory Huey, David Tanner, Young‐Ro Lee, Chelsea Bekemeier   +15 more
wiley   +1 more source

Effects of Typhoon Fitow residual circulation on the relationship between surface wind field and precipitation in Shanghai. [PDF]

Sci Rep
Tang Y, Zhang J, Yue C, Sun J, Han Z, Gu W, Deng L, Yao Y.   +7 more
europepmc   +1 more source

Predictability of Storms in an Idealized Climate Revealed by Machine Learning

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract The midlatitude climate and weather are shaped by storms, yet the factors governing their predictability remain insufficiently understood. Here, we use a Convolutional Neural Network (CNN) to predict and quantify uncertainty in the intensity growth and trajectory of over 200,000 storms simulated with a 200‐year aquaplanet GCM.
Wuqiushi Yao, Or Hadas, Yohai Kaspi
wiley   +1 more source

Near future projections of tropical cyclone tracks over the Bay of Bengal using high resolution CMIP6 models. [PDF]

Sci Rep
Adsul R, Singh VK, Parekh A, Gnanaseelan C.   +3 more
europepmc   +1 more source

Parameter estimation in an atmospheric GCM using the Ensemble Kalman Filter [PDF]

, 2005
Annan, J, Hargreaves, [No Value], Lunt, DJ, Valdes, PJ   +3 more
core  

Dataset of ocean reanalysis and hindcast simulation version 2

Dataset of ocean reanalysis and hindcast simulation at 1⁄4 and 1/16 degrees resolution for the Atlantic Ocean based on version 1 and with the addition of data for the Southern ...
openaire   +1 more source

Rotational Flow Dominates Abrupt Seasonal Change in Zonally Asymmetric Tropical Meridional Circulation

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract The seasonal evolution of tropical meridional circulation varies across regions and plays a key role in monsoon onset and rainfall migration, with important impacts on agriculture and disaster preparedness. Observations show that these transitions often occur abruptly within days.
Wuqiushi Yao, Jianhua Lu, Yimin Liu
wiley   +1 more source

Biases in Southern Ocean Precipitation From Shallow Convection: The Role of Cloud Morphology

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract Precipitation from marine boundary layer clouds is a critical yet highly uncertain feature of post‐frontal conditions over the Southern Ocean (SO), where shallow convection dominates. This study evaluates whether satellite retrievals (GPM‐IMERG and CloudSat) and reanalysis (ERA5) represent the contrasting precipitation between open and closed ...
T. Alinejadtabrizi, Y. Huang, F. Lang, A. V. Sreenath, C. Poulsen, S. Siems, P. May   +6 more
wiley   +1 more source