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Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting Article

Zhangkang Shu, Jianyun Zhang, Lin Wang, Junliang Jin, Ningbo Cui, Guoqing Wang, Zhouliang Sun, Yanli Liu, Zhenxin Bao, Cuishan Liu

Engineering 2023, Volume 24, Issue 5,   Pages 213-229 doi: 10.1016/j.eng.2022.06.007

Abstract: Previous studies have paid little attention to the influence of multi-source uncertainties in complex meteorologicaland hydrological forecasting systems.system was more significant than the hydrological model uncertainty.The developed multi-source uncertainty assessment framework improves our understanding of the complex meteorologicaland hydrological forecasting system.

Keywords： Meteorological and hydrological forecasting     Uncertainty estimation     Bayesian model averaging     Ensemble    

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Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 30-35

Abstract: synthesizes fuzzy optimal selection, BP neural network and genetic algorithm and establishes intelligent forecastingWhen illustrating the method by an application to forecast mid and long term hydrological process ofamount of training samples, and gets relative membership degree matrix according to the correlation of forecastingfactors and forecasting objective, then takes the matrix as input of BP neural network to train link-weights, and finally, uses gained link-weight values to verify forecasting.

Keywords： fuzzy optimal selection     BP neural network     genetic algorithm     intelligent forecasting mode     mid and longterm intelligent hydrological forecasting    

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A method of digitized weather forecasting of meteorological satellite remote sensing information

Chen Gangyi,Li Yueqing,Hou Kai

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 33-38

Abstract:

In this paper, using the infrared nephogram and the black-body temperature (the cloud Top Block Body temperature,TBB) from the GMS-5 satellite of Japan, the process of the occurrence, development and dying out of rainstorm are analyzed. At the same time, the Wuhan"98·7"  Rainstorm would be delicately forecasted for in case. It is better effect to forecast rainstorm.

Keywords： satellite remote sensing     digital     rainstorm forecast     black-body temperature    

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Modeling of hydrological processes in arid agricultural regions

Jiang LI,Xiaomin MAO,Shaozhong KANG,David A. BARRY

Frontiers of Agricultural Science and Engineering 2015, Volume 2, Issue 4,   Pages 283-294 doi: 10.15302/J-FASE-2015076

Abstract: Understanding of hydrological processes, including consideration of interactions between vegetation growthModels can be categorized into three classes: (1) regional distributed hydrological models with various

Keywords： hydrological processes     irrigation area     SPAC     crop growth     groundwater     canal seepage    

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Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 175-183 doi: 10.1007/s11708-017-0471-9

Abstract: To take full advantage of the environmental benefits of wind energy, wind power forecasting has to bePower forecasting for regional wind farm groups is the problem that many power system operators care

Keywords： regional wind power forecasting     feature set     minimal-redundancy-maximal-relevance (mRMR)     principal component    

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Impact of anthropogenic heat emissions on meteorological parameters and air quality in Beijing using

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 4, doi: 10.1007/s11783-021-1478-3

Abstract:

The Large scale Urban Consumption of energ Y model was updated and coupled with WRF.

Keywords： Anthropogenic heat emissions     LUCY     High-resolution     Meteorological parameters     Air quality    

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Meteorological technology application and development in wind energy resources utilization

Song Lili,Zhou Rongwei,Yang Zhenbin,Zhu Rong,

Strategic Study of CAE 2012, Volume 14, Issue 9,   Pages 96-101

Abstract: paper summarizes the application status, problems and impacts on project benefits in various aspects of meteorologicalFurthermore, based on the analysis of atmospheric science principles and the special needs of wind power to meteorological

Keywords： wind power resource     meteorological technology     observation and assessment     simulation and prediction    

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A comprehensive review and analysis of solar forecasting techniques

Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 187-223 doi: 10.1007/s11708-021-0722-7

Abstract: Solar forecasting plays a vital role in smooth operation, scheduling, and balancing of electricity productionNumerous models and techniques have been developed in short, mid and long-term solar forecasting.This paper analyzes some of the potential solar forecasting models based on various methodologies discussedin literature, by mainly focusing on investigating the influence of meteorological variables, time horizon

Keywords： forecasting techniques     hybrid models     neural network     solar forecasting     error metric     support vector machine    

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Effects of land use change on hydrological cycle from forest to upland field in a catchment, Japan

Chuan ZHANG, Keiji TAKASE, Hiroki OUE, Nobuhiro EBISU, Haofang YAN

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 4,   Pages 456-465 doi: 10.1007/s11709-013-0218-6

Abstract: Understanding the effects of land use change on the hydrological cycle is very important for developmentIn this study, soil and hydrological properties in an upland field catchment, which was reclaimed partiallyFurthermore, a semi-distributed hydrological model was applied in the upland field catchment to understandthe integrated effects of reclamation on the hydrological cycle.

Keywords： land-use change     hydrological processes     upland field catchment     forest catchment     semi-distributed hydrological    

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A review of hydrological/water-quality models

Liangliang GAO,Daoliang LI

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 4,   Pages 267-276 doi: 10.15302/J-FASE-2014041

Abstract: Water quality models are important in predicting the changes in surface water quality for environmental management. A range of water quality models are wildly used, but every model has its advantages and limitations for specific situations. The aim of this review is to provide a guide to researcher for selecting a suitable water quality model. Eight well known water quality models were selected for this review: SWAT, WASP, QUALs, MIKE 11, HSPF, CE-QUAL-W2, ELCOM-CAEDYM and EFDC. Each model is described according to its intended use, development, simulation elements, basic principles and applicability (e.g., for rivers, lakes, and reservoirs and estuaries). Currently, the most important trends for future model development are: (1) combination models—individual models cannot completely solve the complex situations so combined models are needed to obtain the most appropriate results, (2) application of artificial intelligence and mechanistic models combined with non-mechanistic models will provide more accurate results because of the realistic parameters derived from non-mechanistic models, and (3) integration with remote sensing, geographical information and global position systems (3S) —3S can solve problems requiring large amounts of data.

Keywords： water quality models     applications     future trends    

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Conceptual study on incorporating user information into forecasting systems

Jiarui HAN, Qian YE, Zhongwei YAN, Meiyan JIAO, Jiangjiang XIA

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 4,   Pages 533-542 doi: 10.1007/s11783-010-0246-6

Abstract: An ideal forecasting system would incorporate user-end information.In recent years, the meteorological community has begun to realize that while general improvements tothe physical characteristics of weather forecasting systems are becoming asymptotically limited, theThe weather forecasting system should include user interaction because user needs may change with differentseason, changing thresholds for flood-inducing rainfall that were responsive to previous weather and hydrological

Keywords： user-end information     user-oriented     interactive forecasting system     TIGGE (THORPEX interactive grand global    

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Impacts of emissions and meteorological changes on China’s ozone pollution in the warm seasons of 2013

Dian Ding, Jia Xing, Shuxiao Wang, Xing Chang, Jiming Hao

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 5, doi: 10.1007/s11783-019-1160-1

Abstract: of anthropogenic emissions reductions caused by the Air Pollution Control Action Plan and changes in meteorologicalWe found that the impact on daily maximum eight-hour (MDA8) O3 concentration by the meteorological variationThe meteorological differences significantly change MDA8 O3 by -3.5–8.5 ppb (-8.2%–18.8%) with large

Keywords： O3 pollution     Meteorological influences     Emission reduction     NOx     VOC    

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Analysis of US National Research Council’s Persistent Forecasting System of Disruptive Technologies

Zhang Xiaolin

Strategic Study of CAE 2018, Volume 20, Issue 6,   Pages 117-121 doi: 10.15302/J-SSCAE-2018.06.019

Abstract:

The National Research Council’s (NRC) report on Persistent Forecastingof Disruptive Technologies analyzes the key issues of disruptive technology forecasting and proposesan ideal persistent forecasting system model.On this basis, the paper summarizes the connotation and challenges of disruptive technology forecastingFinally, the enlightenment of the research on disruptive technology forecasting is proposed, thus to

Keywords： disruptive technologies     persistent forecasting     ideal forecasting system    

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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: This paper proposes the day-ahead electricity price forecasting using the artificial neural networksPrice forecasting is very important for online trading, e-commerce and power system operation.data for the electricity price forecasting tool.The data used for this price forecasting is obtained from the PJM website.forecasting approach.

Keywords： day-ahead electricity markets     price forecasting     load forecasting     artificial neural networks     load serving    

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PM2.5 over North China based on MODIS AOD and effect of meteorological elements during 2003‒2015

Youfang Chen, Yimin Zhou, Xinyi Zhao

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 2, doi: 10.1007/s11783-019-1202-8

Abstract: The tempo-spatial characteristics of PM2.5 and the influence of meteorological elements on PM2.5 is discussedMeteorological/topography conditions, that include high surface humidity of area in the range of 34°‒concentrated PM2.5 pollution in North China are consistent with the local emission level, unfavorable meteorological

Keywords： Aerosol optical depth     PM2.5     MODIS     Mixed effect model     Canonical correlation analysis    

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Title Author Date Type Operation

Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting

Zhangkang Shu, Jianyun Zhang, Lin Wang, Junliang Jin, Ningbo Cui, Guoqing Wang, Zhouliang Sun, Yanli Liu, Zhenxin Bao, Cuishan Liu

Journal Article

Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Journal Article

A method of digitized weather forecasting of meteorological satellite remote sensing information

Chen Gangyi,Li Yueqing,Hou Kai

Journal Article

Modeling of hydrological processes in arid agricultural regions

Jiang LI,Xiaomin MAO,Shaozhong KANG,David A. BARRY

Journal Article

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article

Impact of anthropogenic heat emissions on meteorological parameters and air quality in Beijing using

Journal Article

Meteorological technology application and development in wind energy resources utilization

Song Lili,Zhou Rongwei,Yang Zhenbin,Zhu Rong,

Journal Article

A comprehensive review and analysis of solar forecasting techniques

Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA

Journal Article

Effects of land use change on hydrological cycle from forest to upland field in a catchment, Japan

Chuan ZHANG, Keiji TAKASE, Hiroki OUE, Nobuhiro EBISU, Haofang YAN

Journal Article

A review of hydrological/water-quality models

Liangliang GAO,Daoliang LI

Journal Article

Conceptual study on incorporating user information into forecasting systems

Jiarui HAN, Qian YE, Zhongwei YAN, Meiyan JIAO, Jiangjiang XIA

Journal Article

Impacts of emissions and meteorological changes on China’s ozone pollution in the warm seasons of 2013

Dian Ding, Jia Xing, Shuxiao Wang, Xing Chang, Jiming Hao

Journal Article

Analysis of US National Research Council’s Persistent Forecasting System of Disruptive Technologies

Zhang Xiaolin

Journal Article

Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Journal Article

PM2.5 over North China based on MODIS AOD and effect of meteorological elements during 2003‒2015

Youfang Chen, Yimin Zhou, Xinyi Zhao

Journal Article