Results 81 to 90 of about 4,101,946 (282)

Transforming Agricultural Water Management for Healthy People and Planet: Thinking Beyond Water

Irrigation and Drainage, EarlyView.
ABSTRACT This paper develops the concept of Thinking Beyond Water, a transdisciplinary paradigm that reframes agricultural water management (AWM) as a systems catalyst for planetary health, equity, justice and resilience. Moving beyond conventional irrigation‐centric models, we reimagine AWM through integrative frameworks such as the planetary ...
Tafadzwanashe Mabhaudhi, Cuthbert Taguta, Luxon Nhamo, Sylvester Mpandeli, Aidan Senzanje, Kaveh Madani, Tinashe Lindel Dirwai   +6 more
wiley   +1 more source

The role of Navy METOC regional centers and facilities in the new millennium: thoughts from a sabbatical tour [PDF]

, 2001
During FY00, Professors Wash and Rosenfeld of the Naval Postgraduate School's Meteorology and Oceanography Departments, respectively, made extended visits to each of the Naval Meteorology and Oceanography Command's regional centers and facilities for the
Wash, Carlyle H., Rosenfeld, Leslie K.
core   +3 more sources

COMET’s Education and Training for the Worldwide Meteorological Satellite User Community: Meeting Evolving Needs with Innovative Instruction

ISPRS International Journal of Geo-Information, 2019
Since 1989, the COMET^® Program’s staff of instructional designers, scientists, graphic artists, and web developers has been creating targeted, effective, and scientifically sound instructional materials for the ...
Patrick Dills, Amy Stevermer, Tony Mancus, Bryan Guarente, Tim Alberta, Elizabeth Page   +5 more
doaj   +1 more source

Improving Daily Rainfall Downscaling Over Taiwan's Complex Terrain With Surface‐Wind‐Informed Deep Learning Model

International Journal of Climatology, EarlyView.
An encoder–decoder architecture (EDA) dynamically downscales coarse‐resolution climate fields (0.25°) to high‐resolution outputs (0.05°) over Taiwan, improving the representation of fine‐scale spatial variability and localized extremes by incorporating both rainfall and surface winds to maintain physical consistency.
Yi‐Chi Wang, Chia‐Hao Chiang, Chiung‐Jui Su, Ko‐Chih Wang, Wan‐Ling Tseng, Hsin‐Chien Liang   +5 more
wiley   +1 more source

Department of Meteorology Faculty Publications and Presentations [PDF]

, 2001
Bibliography of the publications and presentations authored by members of the Meteorology ...

core   +2 more sources

Added Value of CESM‐Driven WRF for Mean and Extreme Precipitation Over Complex Terrain in Southwest Asia

International Journal of Climatology, EarlyView.
Southwest Asia remains understudied in high‐resolution regional climate modelling despite its climatic sensitivity and complex orography. We compare WRF (10 km), CESM (~2°), and ERA5 (0.25°) for 1950–2002, with supplementary validation against CHIRPS and PERSIANN‐CDR. WRF corrects the unrealistic summer precipitation overestimation of CESM and improves
Markella Bouchorikou, Thi Quynh Trang Nguyen, Dominik Fleitmann, Morteza Djamali, Martina Messmer, Christoph C. Raible   +5 more
wiley   +1 more source

Perdas na colheita mecanizada de soja (Glycine max) no município de Maripá - PR Losses in mechanized harvest of soybean (Glicine max) in Maripá - PR

Revista Brasileira de Engenharia Agrícola e Ambiental, 2011
Objetivou-se com o trabalho avaliar as perdas na plataforma de corte nos sistemas de trilha e de limpeza e as perdas totais na colheita mecanizada de soja, no município de Maripá, PR, sendo 39 máquinas em 25 propriedades do município. Observou-se que 79%
Ricardo Schanoski, Evandro Z. Righi, Valmir Werner   +2 more
doaj   +1 more source

Short‐Term Agricultural Drought Prediction Using Explainable Data‐Driven Models and Quantified Uncertainty

International Journal of Climatology, EarlyView.
This study demonstrates that explainable deep learning models can skilfully predict short‐term agricultural drought using standardized drought indices, capturing hydroclimatic memory and seasonal persistence. The integration of uncertainty quantification and SHAP‐based interpretability reveals the dominant role of antecedent moisture and climate ...
K. Saranya Das, N. R. Chithra, Venkataramana Sridhar   +2 more
wiley   +1 more source

A prediction rigidity formalism for low-cost uncertainties in trained neural networks

Machine Learning: Science and Technology
Quantifying the uncertainty of regression models is essential to ensure their reliability, particularly since their application often extends beyond their training domain.
Filippo Bigi, Sanggyu Chong, Michele Ceriotti, Federico Grasselli   +3 more
doaj   +1 more source

IMPACT OF METEOROLOGICAL TRAINING ON PILOT PERFORMANCE IN NORTHERN NIGERIA

Journal of African Advancement and Sustainability Studies
This study assessed the impact of meteorological training on pilot performance in Northern Nigeria's aviation sector, examining weather-related factors contributing to accidents from 2000-2025. Employing a convergent parallel mixed-methods design, the research integrated documentary analysis of 38 Accident Investigation Bureau (AIB) incidents, a ...
null MUSA ABBA, null GIDEON DIDAMS, null ILIYA MUSA, null SANI AHMAD   +3 more
openaire   +1 more source