Results 61 to 70 of about 7,932,226 (201)

Tidal Variability in the Lower Thermosphere: Relative Importance of ENSO, QBO, PJO, MJO, and Lyα

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 20, 28 October 2026.
Abstract Atmospheric tides in the lower thermosphere play an important role in regulating upper‐atmospheric conditions relevant to space weather. However, their spatial and temporal variability remains poorly understood, apart from seasonal variations. Previous studies have shown that tides can be influenced by meteorological and solar conditions. This
Yosuke Yamazaki, Huixin Liu, Kaoru Sato, Dai Koshin, Claudia Stolle   +4 more
wiley   +1 more source

Cold‐Air Pooling and Temperature‐Elevation Mapping in a Colorado Watershed

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 19, 16 October 2026.
Abstract Near‐surface air temperature grids are important environmental model forcings. In narrow mountain valleys, most gridded products are too coarse to resolve variability across slopes, so regional studies often map temperature across terrain following locally determined lapse rates.
John Cramblitt, Rosemary W. H. Carroll, Jessica D. Lundquist   +2 more
wiley   +1 more source

Enhancing sea surface salinity short-term prediction using physically informed deep learning

Applied Ocean Research
Sea surface salinity (SSS) is a crucial variable in understanding ocean dynamics, climate change, and marine ecosystems. However, purely data-driven deep learning models often lack integration with physical laws, which limits their interpretability and ...
Quanhong Liu, Senliang Bao, Hengqian Yan, Huizan Wang, Yangjun Wang, Ren Zhang   +5 more
doaj   +1 more source

Interdecadal Phase Shifts of Winter Asian‐Pacific Oscillation Modulate the Warm Arctic‐Cold Eurasia Pattern

Geophysical Research Letters, Volume 53, Issue 19, 16 October 2026.
Abstract Against the backdrop of global warming, warm Arctic‐cold Eurasia (WACE) has garnered extensive scientific attention. However, the drivers of its interdecadal variability remain insufficiently understood. Using reanalysis data and pre‐industrial control simulations, we demonstrate that winter Asian‐Pacific Oscillation (APO), a dominant upper ...
Peilin Li, Botao Zhou, Dapeng Zhang, Xinping Xu, Yujia Liu, Wenxin Xie   +5 more
wiley   +1 more source

Incorporating empirical orthogonal function analysis into lumped hydrological models with grid data

Journal of Hydrology: Regional Studies
Study region: This study focuses on the Tuotuo River Basin (TRB), located in the headwater region of the Yangtze River. Study focus: We proposed an Empirical Orthogonal Function (EOF)-based framework to aggregate spatially distributed precipitation data ...
Peng Jiang, Yubing Ou, Nana Zhang, Rongrong Zhang, Bin Yang, Changhai Tan, Simin Qu, Jiacuo DunZhu, Cizhu Danba, Rui Wu, Zhongbo Yu   +10 more
doaj   +1 more source

Variasi Waktu Iklim Perairan Utara Papua Menggunakan Analisis Empirical Orthogonal Function (EOF)

Jurnal Hidrografi Indonesia
Perairan khatulistiwa Pasifik Barat diketahui memiliki karakter oseanografi yang sangat dinamis. Perairan kawasan ini merupakan tempat berkumpulnya massa air yang berasal dari belahan bumi selatan dan belahan bumi utara Samudera Pasifik. Hal ini dipengaruhi langsung oleh beberapa fenomena iklim yang terjadi seperti ENSO, MJO, pola angin muson, dan lain
Fressan Patrick W., Budi Purwanto, Gentio Harsono, Kunarso Kunarso, Kurnia Malik   +4 more
openaire   +1 more source

The OCO‐2 and OCO‐3 ACOS Version 11 XCO2 Data Products: A Benchmark Record for Space‐Based Global Carbon Cycle Research

Earth and Space Science, Volume 13, Issue 10, October 2026.
Abstract NASA's Orbiting Carbon Observatory‐2 (OCO‐2) and OCO‐3 have been observing Earth's atmosphere from space since September 2014 and August 2019, respectively. The version 11 (v11) Atmospheric Carbon Observations from Space (ACOS) Level 2 full physics (L2FP) retrieval algorithm has been used to provide estimates of the column‐averaged dry‐air ...
Thomas E. Taylor, Christopher W. O’Dell, Albert Chang, Abhishek Chatterjee, Cecilia Cheng, Lan Dang, Saswati Das, Brendan Fisher, Dejian Fu, Jonathan Hobbs, Nicole Jacobs, Graziela R. Keller, William Keely, Matthäus Kiel, Le Kuai, Thomas Kurosu, Alyn Lambert, Otto Lamminpää, Joshua Laughner, Richard Lee, Junjie Liu, Yuliya Marchetti, Steffen Mauceri, Gregory McGarragh, Aronne Merrelli, Robert R. Nelson, Greg Osterman, Fabiano Oyafuso, Sudhanshu Pandey, Vivienne H. Payne, Elise Rimsa, Robert Rosenberg, Dustin Roten, Edwin Sarkissian, Kacie Shelton, Gary Spiers, Cathy To, Paul O. Wennberg, Jia Zong, David F. Baker, Sourish Basu, Frédéric Chevallier, Sean Crowell, Liang Feng, Paul I. Palmer, Brad Weir, Kristan Morgan, Andrey Savtchenko, Matthias Buschmann, Nicholas M. Deutscher, Rigel Kivi, Manvendra Dubey, Frank Hase, Isamu Morino, Justus Notholt, Hirofumi Ohyama, Christof Petri, Markus Rettinger, Kimberly Strong, Ralf Sussmann, Yao Té, Voltaire A. Velazco, Thorsten Warneke, Debra Wunch, Minqiang Zhou, Dave Crisp, Annmarie Eldering, Mike Gunson   +67 more
wiley   +1 more source

Distribusi Spasial Parameter Meteorologi Berdasarkan Analisa Empirical Orthogonal Function (Eof)

, 2012
Pada penelitian ini dilakukan eksplorasi sistematis terhadap parameter meteorologi seperti curah hujan, tekanan, kelembaban relatif, dan suhu, serta hubungannya dengan Outgoing Longwave Radiation (OLR) di Indonesia dan daerah sekitarnya.
Iis Sofiati
core  

Detection of Decreasing Vegetation Cover Based on Empirical Orthogonal Function and Temporal Unmixing Analysis [PDF]

, 2017
Vegetation plays an important role in the energy exchange of the land surface, biogeochemical cycles, and hydrological cycles. MODIS (MODerate-resolution Imaging Spectroradiometer) EVI (Enhanced Vegetation Index) is considered as a quantitative indicator
Xiaoshi Xing, Di Xu, Wenpeng Lin, Ruishan Chen   +3 more
core   +1 more source

Evaluating the Role of the EOF Analysis in 4DEnVar Methods

Atmosphere, 2017
The four-dimensional variational data assimilation (4DVar) method is one of the most popular techniques used in numerical weather prediction. Nevertheless, the needs of the adjoint model and the linearization of the forecast model largely limit the wider
Xingxia Kou, Zhekun Huang, Hongnian Liu, Meigen Zhang, Si Shen, Zhen Peng   +5 more
doaj   +1 more source