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Jizhong Shao, Guan Liu, Hong Yuan, Qize Song, Minge Yang, Dan Luo, Xiaosi Zhang, Yanran Tan and Yuxin Zhang
Following economic growth in the past three decades, rapid urbanization has caused many pronounced issues, such as spatial scarcity and cultural discontinuity, in Chinese historical and cultural cities. In order to better deal with the diversification of...
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Yuxuan Feng, Jinzhong Min, Xiaoran Zhuang and Shiqi Wang
In order to further investigate the influence of ensemble generation methods on the storm-scale ensemble forecast (SSEF) system, a new ensemble sensitivity analysis-based ensemble transform with 3D rescaling (ET_3DR_ESA) method was developed. The Weather...
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Andrew Mercer and Alyssa Bates
Tornado outbreaks (TOs) are a major hazard to life and property for locations east of the Rocky Mountains. Improving tornado outbreak (TO) forecasts will help minimize risks associated with these major events. In this study, we present a methodology for ...
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Huating Xu, Zhiyong Wu, Lifeng Luo and Hai He
Accurate and timely precipitation forecasts are a key factor for improving hydrological forecasts. Therefore, it is fundamental to evaluate the skill of Numerical Weather Prediction (NWP) for precipitation forecasting. In this study, the Global Environme...
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Yirong Zhou, Hao Chen, Jun Li, Ye Wu, Jiangjiang Wu and Luo Chen
High crowd mobility is a characteristic of transportation hubs such as metro/bus/bike stations in cities worldwide. Forecasting the crowd flow for such places, known as station-level crowd flow forecast (SLCFF) in this paper, would have many benefits, fo...
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Hang Yang, Xiaoqing Li, Bing Wu
Pág. 3840 - 3854
The forecast of the scale of highway network is of great importance in the planning of regional highway network. This paper is to seek a hybrid method to improve the accuracy and reliability of scale-forecast and obtain the optimal hierarchical structure...
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Alexandros M. Goulielmos
The inability of carriers to forecast ?demand for containerships? led them to order larger ships. Maritime economists were also unable to forecast it. The new-buildings cut cost per TEU, but ?estimated economies of scale? are exhausted with ships beyond ...
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JAE-WON LEE,ERNEST C. KUNG
On the basis of principal component analysis of long-term climatological records, regression models are formulated and forecast experiments are conducted for monthly temperature and precipitation of the Ozark Highlands area, a large area of low mounta...
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Michele Placido Antonio Gatto
Extreme and prolonged rainfall resulting from global warming determines a growing need for reliable Landslide Early Warning Systems (LEWS) to manage the risk of rainfall-induced shallow landslides (also called soil slips). Regional LEWS are typically bas...
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Samuel D. Lightstone, Fred Moshary and Barry Gross
Human health is strongly affected by the concentration of fine particulate matter (PM2.5). The need to forecast unhealthy conditions has driven the development of Chemical Transport Models such as Community Multi-Scale Air Quality (CMAQ). These models at...
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Sadegh Zeyaeyan, Ebrahim Fattahi, Abbas Ranjbar, Majid Azadi and Majid Vazifedoust
The numerical weather forecast model Weather Research and Forecasting (WRF) has a range of applications because it offers multiple physical options, enabling the users to optimizing WRF for specific scales, geographical locations and applications. Summer...
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Felix P. Martinez-García, Antonio Contreras-de-Villar and Juan J. Muñoz-Perez
Wind forecasts are widely spread because of the growth in wind power, but also because there are other applications to consider, such as the long-term scenario forecasts regarding the effects of global warming. Overall, there have been big developments i...
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Taereem Kim, Ju-Young Shin, Hanbeen Kim, Sunghun Kim and Jun-Haeng Heo
Climate variability is strongly influencing hydrological processes under complex weather conditions, and it should be considered to forecast reservoir inflow for efficient dam operation strategies. Large-scale climate indices can provide potential inform...
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Ming Lu and Qian Xie
Forecasting tourism volume can provide helpful information support for decision-making in managing tourist attractions. However, existing studies have focused on the long-term and large-scale prediction and scarcely considered high-frequency and micro-sc...
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Srinivasagan N. Subhashree, C. Igathinathane, Adnan Akyuz, Md. Borhan, John Hendrickson, David Archer, Mark Liebig, David Toledo, Kevin Sedivec, Scott Kronberg and Jonathan Halvorson
Farmers and ranchers depend on annual forage production for grassland livestock enterprises. Many regression and machine learning (ML) prediction models have been developed to understand the seasonal variability in grass and forage production, improve ma...
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Md Azam Hossain, Soonwook Hwang and Jik-Soo Kim
Scientific applications often require substantial amount of computing resources for running challenging jobs potentially consisting of many tasks from hundreds of thousands to even millions. As a result, many institutions collaborate to solve large-scale...
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Jorge Sanchez Lozano, Giovanni Romero Bustamante, Riley Chad Hales, E. James Nelson, Gustavious P. Williams, Daniel P. Ames and Norman L. Jones
We present the development and testing of a web application called the historical validation tool (HVT) that processes and visualizes observed and simulated historical stream discharge data from the global GEOGloWS ECMWF streamflow services (GESS), perfo...
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Wolfgang B. Hamer, Tim Birr, Joseph-Alexander Verreet, Rainer Duttmann and Holger Klink
Real-time identification of the occurrence of dangerous pathogens is of crucial importance for the rapid execution of countermeasures. For this purpose, spatial and temporal predictions of the spread of such pathogens are indispensable. The R package pap...
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Nashwan Dawood
Load forecasting plays a major role in determining the prices of the energy supplied to end customers. An accurate prediction is vital for the energy companies, especially when it comes to the baseline calculations that are used to predict the energy loa...
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Willian Melo, José Pinho, Isabel Iglesias, Ana Bio, Paulo Avilez-Valente, José Vieira, Luísa Bastos and Fernando Veloso-Gomes
The understanding and anticipating of climate change impacts is one of the greatest challenges for humanity. It is already known that, until the end of the 21st century, the mean sea level (MSL) will rise at a global scale, but its effects at the local s...
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