Results 31 to 40 of about 70,613 (293)

Delineation of high resolution climate regions over the Korean Peninsula using machine learning approaches [PDF]

, 2019
In this research, climate classification maps over the Korean Peninsula at 1 km resolution were generated using the satellite-based climatic variables of monthly temperature and precipitation based on machine learning approaches.
Im, Jungho, Kwon, ChunGeun, Lee, Byungdoo, Park, Haemi, Park, Sumin, Rhee, Jinyoung, Yoo, Cheolhee   +6 more
core   +1 more source

Broadening Traditional Aviation Meteorology Education to Support Spaceflight Operations

Journal of Aviation/Aerospace Education & Research, 2017
The purpose of this paper is to examine the expansion of traditional aviation meteorology education necessary to support the growing commercial space-operations industry.
Thomas A Guinn, Nicholas J. Stapleton, Katherine A Winters, Bradley M. Muller, Debbie M Schaum   +4 more
doaj   +1 more source

SeaMAE: Masked Pre-Training with Meteorological Satellite Imagery for Sea Fog Detection

Remote Sensing, 2023
Sea fog detection (SFD) presents a significant challenge in the field of intelligent Earth observation, particularly in analyzing meteorological satellite imagery. Akin to various vision tasks, ImageNet pre-training is commonly used for pre-training SFD.
Haotian Yan, Sundingkai Su, Ming Wu, Mengqiu Xu, Yihao Zuo, Chuang Zhang, Bin Huang   +6 more
openaire   +2 more sources

Aerosol's optical and physical characteristics and direct radiative forcing during a shamal dust storm, a case study [PDF]

Atmospheric Chemistry and Physics, 2014
Dust aerosols are analyzed for their optical and physical properties during an episode of a dust storm that blew over Kuwait on 26 March 2003 when the military Operation Iraqi Freedom was in full swing.
T. M. Saeed, H. Al-Dashti, C. Spyrou
doaj   +1 more source

From Predicting Solar Activity to Forecasting Space Weather: Practical Examples of Research-to-Operations and Operations-to-Research

, 2013
The successful transition of research to operations (R2O) and operations to research (O2R) requires, above all, interaction between the two communities.
A. Pulkkinen, B. Tsurutani, C.A. Doswell, C.A. Doswell, C.A. Koning de, C.D. Fry, C.N. Arge, D. Odstrcil, D. Odstrcil, D.A. Biesecker, E.A. Araujo-Pradere, G. Klein, G. Millward, G. Siscoe, H. Xie, H.H. Sauer, L.J. Lanzerotti, M. Magsig, M.L. Kaiser, N.A. Stuart, National Research Council, O.C. St. Cyr, R. Lopez, R. Zwickl, S. Ilonidis, T. Fuller-Rowell, V. Pizzo, V.J. Pizzo, W.D. Pesnell, Y.J. Moon   +29 more
core   +1 more source

Diurnal Variation in Summer Precipitation and the Characteristics of Precipitation Events in the Western Tarim Basin, China

Atmosphere
The Tarim Basin in the western part of Northwest China (NWC) is the largest inland basin in the world and one of the most arid regions in the middle latitudes.
Man Li, Zaiyong Zhang, Chenxiang Ju, Junqiang Yao   +3 more
doaj   +1 more source

Using Deep Learning to Identify Circulation Patterns of Intense Rainfall in the Beijing–Tianjing–Hebei Region

Atmosphere, 2023
The properties and distributions of precipitation are often determined by specific synoptic patterns. Hence, the objective identification of corresponding impact patterns is an important field of research for improving rain forecasting.
Linguo Jing, Qi Zhong, Xiaojie Li, Xiuming Wang, Lili Shen, Yong Cao   +5 more
doaj   +1 more source

Performance oriented training for Canadian armed forces meteorological technicians [PDF]

Atmosphere, 1970
(1970). Performance oriented training for Canadian armed forces meteorological technicians. Atmosphere: Vol. 8, No. 3, pp. 85-89.
openaire   +1 more source

Adaptive neuro fuzzy inference system for predicting sub-daily Zenith Wet Delay

Geodesy and Geodynamics, 2022
In recent years, the focus of tropospheric studies has evolved to GNSS meteorology and weather forecasting. The Zenith Wet Delay (ZWD), which might be assembled to the Integrated Water Vapour (IWV), is an essential component of the tropospheric delay ...
Jareer Mohammed
doaj   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source