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Tomas Gintautas and John Dalsgaard Sørensen
The offshore wind industry is building and planning new wind farms further offshore due to increasing demand on sustainable energy production and already occupied prime resource locations closer to shore. Costs of operation and maintenance, transport and...
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Tomas Gintautas and John Dalsgaard Sørensen
The offshore wind industry is building and planning new wind farms further offshore due to increasing demand on sustainable energy production and already occupied prime resource locations closer to shore. Costs of operation and maintenance, transport and...
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José Roberto Ávila-Carrasco,Graciela S. Herrera,Hugo Enrique Júnez-Ferrerira,Arturo Valdés-Manzanilla
Pág. 171 - 187
Weather radar calibration is a topic of great current interest because it is useful for various hydrological applications. Several methods have been developed for adjusting the relation between reflectivity data Z and rainfall intensity R (Z/R) because d...
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Venkatesh Thirugnana Sambandham, Priyamvada Shankar and Sayan Mukhopadhaya
Early warning systems help combat crop diseases and enable sustainable plant protection by optimizing the use of resources. The application of remote sensing to detect plant diseases like wheat stripe rust, commonly known as yellow rust, is based on the ...
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Eduard Lotovskyi, Angelo P. Teixeira and C. Guedes Soares
This paper analyses the production availability and the associated maintenance costs of an offshore wind turbine with a horizontal axis configuration using Petri Nets modelling with Monte Carlo Simulation. For this purpose, different features are impleme...
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Mohammed Baljon and Sunil Kumar Sharma
Every farmer requires access to rainfall prediction (RP) to continue their exploration of harvest yield. The proper use of water assets, the successful collection of water, and the successful pre-growth of water construction all depend on an accurate ass...
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Vasileios A. Mamatsopoulos, Constantine Michailides and Efstathios E. Theotokoglou
Today, the offshore oil and gas and wind power industry is a heavily regulated segment, and current standards have established restrictions which yield a very limited weather window for submarine cable installations due to experience with cable failure i...
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Marcus Bentin, David Zastrau, Michael Schlaak, Diethardt Freye, ... Stephan Kotzur
Pág. 153 - 162
Within the research project ROBUST** (Optimization of seaborne trade) a new software tool was developed to find the optimum shipping route, considering the influence of wind and waves on the ship's performance. A further aspect thereby is to assess the p...
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Baogang Zhang, Xianglu Cai and Ming Liu
The weather in the high latitudes of China is cold in winter. The pollution caused by the burning of biomass fuels used in rural individual heating is a great threat to human health. This study finds that the amounts of CO2, CO, PM2.5, and PM10 in the be...
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Mayur Kishor Shende, Sinan Q. Salih, Neeraj Dhanraj Bokde, Miklas Scholz, Atheer Y. Oudah and Zaher Mundher Yaseen
Climate change has contributed substantially to the weather and land characteristic phenomena. Accurate time series forecasting for climate and land parameters is highly essential in the modern era for climatologists. This paper provides a brief introduc...
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Jingyun Zhang, Lingyu Xu and Baogang Jin
The multi-model ensemble (MME) forecast for meteorological elements has been proved many times to be more skillful than the single model. It improves the forecast quality by integrating multiple sets of numerical forecast results with different spatial-t...
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Yonghang Lai, Ian A. Ridley and Peter Brimblecombe
Ingress of air from neighboring apartments is an important source of fine particulate matter (PM2.5) in residential multi-story buildings. It affects the measurement and estimation of particle deposition rate and penetration factor. A blower-door method ...
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Paul Mathew, Lino Sanchez, Sang Hoon Lee and Travis Walter
Increasing concern over higher frequency extreme weather events is driving a push towards a more resilient built environment. In recent years there has been growing interest in understanding how to evaluate, measure, and improve building energy resilienc...
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Xingxia Kou, Zhekun Huang, Hongnian Liu, Meigen Zhang, Si Shen and Zhen Peng
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...
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Joris Van den Bergh and Emmanuel Roulin
A hydrological ensemble prediction system is running operationally at the Royal Meteorological Institute of Belgium (RMI) for ten catchments in the Meuse basin. It makes use of the conceptual semi-distributed hydrological model SCHEME and the European Ce...
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Sean R. Haughian,Philip J. Burton,Steve W. Taylor,Charles Curry
Projections for forest disturbance and damage under a changing climate in British Columbia are summarized, with the objective of collating regionally specific expectations so that land managers can take pro-active steps to avoid or adapt to the changes e...
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Mingyang Zhang, Lifeng Zhang and Bin Zhang
A four-dimensional ensemble variational assimilation system for FY-3A satellite data is constructed using the Proper Orthogonal Decomposition (POD)-based ensemble four-dimensional variational (4DVar) assimilation method (referred to as POD-4DEnVar Satell...
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