Results 121 to 130 of about 6,191 (299)

Incorporating Crowdsourced Data Into Operational Products: A Perspective From a National Meteorological Service

International Journal of Climatology, EarlyView.
Future advances in the fields of meteorology and climate science will require scientists to increasingly strive towards the provision of new high‐resolution services. In this context, the development of new products and services along the weather chain may greatly benefit from the adoption of second‐and‐third‐party data (23PD) as a source of high ...
Irene Garcia‐Marti, Christopher W. Brown, Alessandro Spinuso, Gijsbert Kruithof, Theo Brandsma, Jan Willem Noteboom   +5 more
wiley   +1 more source

The New Aviation Meteorology Specialization in the Graduate Aeronautics Program at Embry-Riddle

, 2010
The next 12 months will be an exciting time of growth in graduate aviation studies at Embry-Riddle Aeronautical University\u27s Daytona Beach, FL campus.
Lanicci, John M, Roberts, Erin A.
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Degradation of Seasonally Frozen Ground in the Three–River Source Region and Its Correlation Impact Within Precipitation–Runoff Process

International Journal of Climatology, EarlyView.
This study reveals how climate change alters the water cycle in the Three Rivers Source region by degrading its important ‘solid groundwater’ (seasonally frozen ground). We found that runoff response varies by watershed and the role of permafrost decreases sharply, making water supply more dependent on rainfall and becoming increasingly vulnerable ...
Chenchen Ren, Xiangde Xu, Jieru Ma, Bingrong Zhou, Na Dong, Wenyue Cai, Chunzhu Wang   +6 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

MetEd Home Page: Meteorology Education & Training

A comprehensive web portal for technical meteorology education. Offers on-line tutorials on current meteorological tools and imaging systems, exercises in image recognition and interpretation, applications for weather forecasting, and links to related ...

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Subseasonal Predictability of Weekly Rainfall and Rainy Season Onset Over East Africa

International Journal of Climatology, EarlyView.
This study evaluates the subseasonal predictability of weekly rainfall and rainy season onset over East Africa using the ECMWF extended range forecast model. Results show strong skill in forecasting weekly rainfall up to 4 weeks ahead, with higher accuracy during the March–May ‘long rains’ season.
Emmah Mwangi, Innocent Masukwedza, Dominic Kniveton, Martin C. Todd   +3 more
wiley   +1 more source

Meteorology and сlimatology : textbook

Навчальне видання. ПідручникНавчальна дисципліна «Метеорологія та кліматологія» належить до нормативних дисциплін підготовки еколога, що зумовлює необхідність засвоєння студентами базових знань про закономірності формування погоди і клімату ...
Максименко, Надія Василівна, Maksymenko, Nadiya Vasylivna   +1 more
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Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq, Bo Zhang, Bastian Leander Franzisky, Tasawer Abbas, Jochen Taiber, Martin Koch, Ian C Dodd, Christoph‐Martin Geilfus   +7 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

Precision Restoration to Minimize Soil Loss in a Watershed in the Atlantic Forest Domain

Land Degradation &Development, EarlyView.
ABSTRACT The Turvo River Watershed, located in the Zona da Mata region of Minas Gerais and part of the Doce River Basin, faces serious problems of erosion and soil degradation, which compromise and reduce the quality of local water resources. Given this scenario, it is essential to implement environmental recovery strategies that prioritize the ...
Rodrigo Nobre Santana, Luíza Maria Affonso Lopes da Silva, Sady Júnior Martins da Costa Menezes, Getúlio Fonseca Domingues, Carlos Antônio Alvares Soares Ribeiro, Plinio Antonio Guerra Filho, Alexandre Rosa dos Santos   +6 more
wiley   +1 more source