搜索结果: 1-15 共查到“理学 FORECASTING”相关记录165条 . 查询时间(0.14 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Multi-scale analysis-driven tourism forecasting: Insights from the peri-COVID-19
多尺度分析 驱动 旅游预测 COVID-19 周边见解
2023/5/5
中国地质大学科学技术发展院许磊,陈能成 等, 国家地理信息系统工程技术研究中心. Earth-Science Reviews (2021),Spatiotemporal forecasting in earth system science: Methods, uncertainties, predictability and future directions(图)
时空;预测;问题;信息;系统;工程
2021/10/14
近日,国家地理信息系统工程技术研究中心陈能成教授团队在地球科学领域顶级期刊《Earth-Science Reviews》(IF=12.413)上刊发研究成果—Spatiotemporal forecasting in earth system science: Methods, uncertainties, predictability and future directions。该文针对地球系统...
Geoscientists develop technology to improve forecasting of earthquakes,tsunamis(图)
Geoscientists technology improve forecasting earthquakes,tsunamis
2019/12/6
With funding from NSF, geoscientists at the University of South Florida have successfully developed and tested a new high-tech shallow water buoy that can detect the small movements and changes in the...
Data assimilation method offers improved hurricane forecasting(图)
Data assimilation method hurricane forecasting
2019/10/21
In 2017, operational models predicted that Hurricane Harvey would become a Category 1 hurricane. Instead, it became a massive Category 4 storm just before it made landfall, and tied Hurricane Katrina ...
EXPERIMENTAL FLOOD EARLY WARNING SYSTEM IN PARTS OF BEAS BASIN USING INTEGRATION OF WEATHER FORECASTING, HYDROLOGICAL AND HYDRODYNAMIC MODELS
flood early warning WRF hydrological modelling hydrodynamic modelling flood inundation
2019/2/27
The flood early warning for any country is very important due to possible saving of human life, minimizing economic losses and devising mitigation strategies. The present work highlights the experimen...
三亚国际数学论坛:Complex Time Series Modelling and Forecasting
三亚国际数学论坛 Complex Time Series Modelling Forecasting
2017/11/24
The purpose of this workshop is to bring together the leading experts, active scholars and young researchers in Dynamic Network, Spatio-Temporal Processes, and Functional Time Series under the umbrell...
深圳大学管理学院运筹学课件 FORECASTING
深圳大学管理学院 运筹学 课件 FORECASTING
2017/11/7
深圳大学管理学院运筹学课件 FORECASTING。
Analyzing magma temperatures may help get closer to forecasting volcanic eruptions
temperatures volcanic eruptions
2017/7/21
Although volcanic eruptions are often quite hazardous, scientists have been unable to pinpoint the processes leading up to major eruptions – and one important limitation has been a lack of knowledge a...
Evaluating forecasting models for predicting rainfall from tropical cyclones
forecasting models predicting rainfall tropical cyclones
2016/11/4
Many people know that tropical cyclones and hurricanes cause high winds and storm surges. But two of their other effects, heavy rainfall and inland flooding, can be just as dangerous and impact larger...
Forecasting climate change's effects on biodiversity hindered by lack of data
climate change biodiversity lack of data
2016/9/29
An international group of biologists is calling for data collection on a global scale to improve forecasts of how climate change affects animals and plants.
Accurate model predictions can greatly aid...
IUTAM Symposium on Storm surge modelling and forecasting
Storm surge modelling forecasting
2016/7/19
Storm surges are the major geophysical threat to life and properties in coastal regions, being more widespread and frequent than tsunamis. Yet recent storm surge events around the globe raised painful...
Nonparametric and Semiparametric Regressions Subject to Monotonicity Constraints: Estimation and Forecasting
Nonlinearity Nonparametric regression Semiparametric regression Local mono- tonicity Bagging
2016/1/25
This paper considers nonparametric and semiparametric regression models subject to monotonicity constraint. We use bagging as an alternative approach to Hall and Huang (2001). Asymptotic properties of...
Flood forecasting in the Tiber catchment area: a methodological analysis
precipitation flood forecast LAM runoff modelling
2015/9/29
The most difficult step in hydrological forecasting is precipitation forecast, since rain is the most irregular and least predictable meteorological field. Numerical meteorological models are the main...
Forecasting geomagnetic activity three hours in advance for ionospheric applications
Geomagnetic activity ionospheric disturbance ferecasting
2015/9/28
An attempt at forecasting the magnetic activity index three hours in advance is presented. This approach is based on a suitable treatment of time-weighted accumulations of the three-hourly magnetic in...
Forecasting of ionospheric characteristics during quiet and disturbed conditions
Forecasting procedure quiet and disturbed conditions
2015/9/25
An autocovariance forecasting procedure for single location ionospheric characteristics is presented. Its accuracy is illustrated as a function of the amount of time extrapolation for selected Europea...