Results 61 to 70 of about 8,922 (190)

Modeling maize growth and development in temperate and tropical agro‐climatic systems using MAIZSIM

Agrosystems, Geosciences &Environment, Volume 9, Issue 2, June 2026.
Abstract MAIZSIM is a mechanistic maize (Zea mays L.) crop model with a two‐dimensional finite element‐based soil simulator, known for its detailed process‐based representation and minimal calibration requirements. While the model has been extensively applied in temperate agro‐climatic systems, its use in tropical areas has not been explored.
Sachin Nandgude, Sahila Beegum, Dennis Timlin, Chittaranjan Ray, Vaishali Sharda, Zhuangji Wang, David Fleisher, Vangimalla Reddy   +7 more
wiley   +1 more source

Deciphering chaos in the Madden-Julian oscillation

npj Climate and Atmospheric Science
The Madden-Julian Oscillation (MJO), having far-reaching impact on Earth’s climate and human society, is an important tropical phenomenon characterized by a typical 30–90-day period in phase evolution.
Guosen Chen
doaj   +1 more source

The role of wind gusts in upper ocean diurnal variability [PDF]

, 2017
Upper ocean processes play a key role in air-sea coupling, with variability on both short and long time scales. The diurnal cycle associated with diurnal solar insolation and nighttime cooling, may act, along with stochastic wind variability, on upper ...
Giglio, D, Gille, ST, Nguyen, S, Subramanian, AC   +3 more
core   +1 more source

Multidimensional Distributional Neural Network Output Demonstrated in Super‐Resolution of Surface Wind Speed

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Accurate quantification of uncertainty in neural network predictions remains a central challenge for scientific applications involving high‐dimensional, correlated data. While existing methods capture either aleatoric or epistemic uncertainty, few offer closed‐form, multidimensional distributions that preserve spatial correlation while ...
Harrison J. Goldwyn, Mitchell Krock, Johann Rudi, Daniel Getter, Julie Bessac   +4 more
wiley   +1 more source

Decadal Variability of the Extratropical Response to the Madden–Julian Oscillation

Geophysical Research Letters, 2023
The Madden–Julian Oscillation (MJO) is the leading mode of sub‐seasonal variability in the tropical atmosphere and is a source of predictability for extratropical weather through its teleconnections. MJO teleconnection patterns can be modulated by the El
Daniel T. Skinner, Adrian J. Matthews, David P. Stevens   +2 more
doaj   +1 more source

The effect of the quasi-biennial oscillation on the Madden-Julian oscillation in the Met Office Unified Model Global Ocean Mixed Layer configuration [PDF]

, 2018
Using multi-decadal simulations, we investigate the relationship between the Quasi-Biennial Oscillation (QBO) and the Madden–Julian Oscillation (MJO) in the Global Ocean Mixed Layer Configuration of the Met Office Unified Model (MetUM-GOML1) at two ...
Baldwin, Benedict, Bush, Butler, Charlton-Perez, Christiansen, Collimore, Dee, Fueglistaler, Garfinkel, Giorgetta, Hardiman, Hirons, Huang, Hudson, Hurrell, Jiang, Kang, Klingaman, Klingaman, Klingaman, Lawrence, Liu, Madden, Marshall, Nie, Nishimoto, Osprey, Rayner, Shelly, Smith, Son, Walters, Wheeler, Wu, Yoden, Yoo, Yuan, Zhang   +38 more
core   +1 more source

Mesoscale and Submesoscale Variability in the Indian Ocean

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract Material transport and air‐sea coupling dynamics associated with monsoon‐related mesoscale and submesoscale processes in the Indian Ocean significantly modulate biogeochemical cycles, the large‐scale energy balance, and both regional and global climate change.
Lei Zhou, Dongxiao Wang, Xuhua Cheng, Lixin Qu, Yun Qiu, Fuan Xiao, Lin Wang, Qiaoyan Wu, Xiaoyi Yang, Zhigang Lai, Danian Liu, Hui Zhao, Lin Liu, Ke Huang, Jianhuang Qin, Baosheng Li, Guangli Zhang, Chunhua Qiu, Haibo Tang, Huaming Huang   +19 more
wiley   +1 more source

Using Simple, Explainable Neural Networks to Predict the Madden‐Julian Oscillation

Journal of Advances in Modeling Earth Systems, 2022
Few studies have utilized machine learning techniques to predict or understand the Madden‐Julian oscillation (MJO), a key source of subseasonal variability and predictability. Here, we present a simple framework for real‐time MJO prediction using shallow
Zane K. Martin, Elizabeth A. Barnes, Eric Maloney   +2 more
doaj   +1 more source

Analisis Pengaruh Monsun Dan Osilasi Dua Tahunan Troposfer Dalam Pola Curah Hujan Beberapa Daerah Di Benua Maritim Indonesia [PDF]

, 2007
Monsun (dikenal juga sebagai fenomena AO : Annual Oscillation) dan TBO (Tropospheric Biennial Oscillation) adalah contoh bentuk variasi tahunan dan antar tahunan elemen iklim (terutama curah hujan) yang sangat berpengaruh terhadap pola ataupun ...
Arief, Suryantoro
core  

Dynamics of Significant Intraseasonal Variability of Surface Chlorophyll‐a Concentration in the Far Western Tropical Pacific

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract While the far Western Tropical Pacific is known for interannual variability, we find intraseasonal variability (ISV) actually dominates surface chlorophyll (SChl) fluctuations, explaining >30% of variance. The Madden‐Julian Oscillation (MJO) acts as the key driver through three mechanisms: (a) positive MJO phase vertical mixing (enhanced winds
Hui Zhou, Xueqi Liu, Shuo Wang, Lei He, Xingru Feng   +4 more
wiley   +1 more source