Results 111 to 120 of about 69,867 (301)

Exploring strongly coupled land/atmosphere data assimilation for numerical weather prediction

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Soil moisture and soil temperature can be analyzed effectively in a numerical weather prediction system by expanding the atmospheric ensemble‐based data assimilation to update the soil states also. The best results were obtained here using a strongly coupled land/atmosphere data assimilation to assimilate the standard atmospheric observations plus ...
Clara Draper, Jeffrey Whitaker, Michael Barlage   +2 more
wiley   +1 more source

Characterizing trade‐wind shallow convection regimes in the open sea with a synergy of ship‐based vertical profiling observations

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We use active remote sensing from a ship during the EUREC4$$ {\mathrm{EUREC}}^4 $$A campaign to characterize the environment before, during, and after precipitation in shallow convection. (1) Shallow clouds barely precipitate (only virga). Congestus clouds generate precipitation, occurring less often in the afternoon but with higher cloud fractions. (2)
Claudia Acquistapace, Sabrina Schnitt, Sibylle Krause, Nils Risse, Diego Lange, Dwaipayan Chatterjee   +5 more
wiley   +1 more source

KANs Layer Integration: Benchmarking Deep Learning Architectures for Tornado Prediction

Big Data and Cognitive Computing
Tornado occurrence and detection are well established in mesoscale meteorology, yet the application of deep learning (DL) to radar-based tornado detection remains nascent and under-validated.
Shuo (Luna) Yang, Ehsaneh Vilataj, Muhammad Faizan Raza, Satish Mahadevan Srinivasan   +3 more
doaj   +1 more source

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

, 1970
joanna lauder
openalex   +1 more source

E-portfolio MSC indicator for a virtual learning environment [PDF]

, 2017
This study was conducted to identify indicators for the use of e-portfolio for a virtual learning environment in the Malaysian Skills Certification (MSC) system. The approach is through a modified Delphi technique run in three stages.
Abd Baser, Jamil, Masran, Saiful Hadi, Nur Yunus, Faizal Amin, Rahim, Mohd Bekri, Ruhizan, M. Y.   +4 more
core  

Scale interactions of deep convection in the Sahel: Exploring ring patterns in lagged cross‐correlations of rainfall

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Spatio‐temporal patterns in rainfall are evidence of scale interactions in convection in the West African Sahel. Radial normalization of two‐dimensional conditional probability maps reveals a ring‐like structure in rainfall probabilities surrounding previous rainfall.
James Bassford, Douglas J. Parker, John Marsham, James Warner   +3 more
wiley   +1 more source

A Knowledge-Embedded Machine Learning Approach for Predicting the Moisture Content of Forest Dead Fine Fuel

Fire
The dead fine fuel moisture content (DFFMC) directly affects forest fire occurrence and spread. Accurate DFFMC prediction is key to estimating forest fire risk and behavior.
Zhe Han, Jianping Huang, Chong Mo, Qiang Liu, Chen Liang, Yanzhu Lv, Jiawei Zhang   +6 more
doaj   +1 more source

Training and Distribution of Ph.D's in Meteorology [PDF]

, 1977
F. P. Bretherton
openalex   +1 more source

Current research on aviation weather (bibliography), 1979 [PDF]

The titles, managers, supporting organizations, performing organizations, investigators and objectives of 127 current research projects in advanced meteorological instruments, forecasting, icing, lightning, visibility, low level wind shear, storm hazards/
Frost, W., Turkel, B. S.
core   +1 more source

Fuzzy postprocessing of seasonal climate forecasts for semiarid river basins

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Meteorological forecasts from AI‐based fuzzy rule‐based system (FRB) are compared to linear scaling (LS) and quantile mapping (QM). Seasonal forecasts from the Copernicus Climate Change Service (C3S) are considered. Results show that the highest skill is achieved for the FRB approach.
Dariana Isamel Avila‐Velasquez, Hector Macian‐Sorribes, Manuel Pulido‐Velazquez   +2 more
wiley   +1 more source