Standard number: QX/T 497-2019
Standard name: Specifications
for climatie feasibility demonstration-Application of numerical ||
tt||simulation and reanalysis data ||
tt||Standard format: PDF
Release time: 2019-09-18
Implementation time: 2019-12-01
Standard size: 604K
Standard introduction: This standard was drafted in accordance with the rules given in GB/T1,1-2009
This standard was proposed and managed by the National Technical Committee for Climate and Climate Change Standardization (SAC/TC540). Drafting units of this standard: Public Meteorological Service Center of China Meteorological Administration, Beijing Huaxin Tianli Energy Meteorological Technology Center Main drafters of this standard: Quan Lihong, Zhou Rongwei, Yuan Chunhong, Zhang Yongshan, Zhao Xiaodong, Wang Xiangyun This standard specifies the application conditions and requirements of numerical simulation and reanalysis data in climate feasibility demonstration
This standard applies to climate feasibility demonstration of planning or construction projects
2 Terms and definitions
The following terms and definitions apply to this document
numerical model
A closed set of equations established to describe different types of atmospheric motion and their numerical solution methods Mesoscale meteorological numerical model Numerical model designed for mesoscale weather systems as forecast and simulation objects
Note: Mesoscale weather systems generally refer to weather systems with horizontal scales ranging from hundreds of meters to two thousand kilometers and life histories ranging from several minutes to five days
2.3
computational fluid dynamics model;CFD
Numerical solution of the differential equations governing fluid flow to obtain the discrete distribution of the flow field of fluid flow in a continuous region, thereby approximately simulating
a model of fluid flow conditions.
Numerical simulation
Relying on electronic computers, numerical models are used to obtain the spatiotemporal distribution characteristics of various elements describing atmospheric motion .
Data fusion
Combining various observational information that are complementary or redundant in space and time according to a certain optimization algorithm to produce
estimates and judgments that are more accurate, more comprehensive, and more reliable than a single source of information.
This standard specifies the application conditions and requirements for numerical simulation and reanalysis data in climate feasibility demonstration. This standard applies to climate feasibility demonstration of planning or construction projects.

ICS07.060
Meteorological Industry Standard of the People's Republic of China
QX/T497—2019
Specifications for climatic feasibility demonstrationApplication of numerical simulation and
reanalysis data Numerical simulation and reanalysis data
Industry standard information service platform
Release on September 18, 2019
China Meteorological Administration
Implementation on December 1, 2019
Industry standard information service platform
2 Terms and definitions
Application conditions of numerical simulation and reanalysis data Technical requirements for numerical simulation application
5 Technical requirements for reanalysis data application
References··
QX/T497—2019
Industry standard information service platform
QX/T497—2019
This standard was drafted in accordance with the rules given in GB/T1.1—2009. This standard was proposed and managed by the National Technical Committee for Climate and Climate Change Standardization (SAC/TC540). Drafting units of this standard: Public Meteorological Service Center of China Meteorological Administration and Beijing Huaxin Tianli Energy Meteorological Science and Technology Center. The main drafters of this standard are: Quan Lihong, Zhou Rongwei, Yuan Chunhong, Zhang Yongshan, Zhao Xiaodong, and Wang Xiangyun. Industry Standard Information Service Platform
1 Scope
Climate Feasibility Demonstration Specification
QX/T497—2019
Application of Numerical Simulation and Reanalysis Data
This standard specifies the application conditions and requirements of numerical simulation and reanalysis data in climate feasibility demonstration. This standard applies to climate feasibility demonstration of planning or construction projects. 2 Terms and Definitions
The following terms and definitions apply to this document. 2.1
Numerical model
numerical mode
A closed set of equations established to describe different types of atmospheric motion and its numerical solution method. 2.2
Mesoscale meteorological numerical model mesoscalemeteorologicalnumericalmodel A numerical model designed for forecasting and simulating mesoscale weather systems Note: Mesoscale weather systems generally refer to weather systems with horizontal scales ranging from hundreds of meters to two thousand kilometers and life spans from a few minutes to five days 2.3
computationalfluiddynamicsmodel;CFD computational fluid dynamics model
Numerical solution of differential equations governing fluid flow to obtain the discrete distribution of the flow field of fluid flow in a continuous area, thereby approximating the model of fluid flow.
Numerical simulation
Numerical simulation
Relying on electronic computers to use numerical models to obtain the spatial and temporal distribution characteristics of various elements describing atmospheric motion. 2.5
Data fusion datamerging
Combining complementary or redundant observational information in space and time according to a certain optimization algorithm to produce more accurate, comprehensive and reliable estimates and judgments than a single information source. 2.6
dataassimilation
Data assimilation
Using certain optimal standards and methods, the observation data obtained by different spatial, temporal and directional measurement methods are combined with the numerical dynamic model to obtain an optimal estimate of the real weather state. 2.7
Reanalysis
Service level
Using long-term consistent observation data, data assimilation and numerical model systems, long-term, continuous and higher frontal resolution weather state description data are generated.
Downscaling
Based on the weather and climate information of larger spatial and temporal scales, the method of calculating the weather and climate information of smaller spatial and temporal scales by mathematical and physical methods. Including dynamic downscaling, statistical downscaling, and dynamic statistical downscaling methods. 1
QX/T497-2019
3 Application conditions of numerical simulation and reanalysis data 3.1 There are no meteorological observation stations or the observation data are not representative enough in the area of ​​planning or construction projects, and there are no field observations. 3.2 The area of ​​concern for the planning or construction project requires fine spatial distribution characteristics of meteorological elements, but there is no sufficiently fine meteorological observation data to support it. bzxZ.net
3.3 The planning or construction project requires an assessment and analysis of the local climate impact. 4 Technical requirements for numerical simulation application
4.1 Mesoscale meteorological numerical simulation
4.1.1 The simulation schemes should be compared and selected based on the terrain and climate characteristics of the simulation area, the engineering meteorological parameters of concern, and the extreme meteorological elements (extreme climate events), and the optimal simulation scheme should be determined, including setting appropriate initial and boundary conditions, parameterization schemes, simulation start time, grid division, etc. The local meteorological observation data should be assimilated or integrated. 4.1.2 The simulation results should be verified. If there is a significant difference between the simulation results and the actual observation results, the simulation scheme should be adjusted or the simulation results should be corrected.
4.1.3 The corrected results still need to be compared with the observation results. Only when the values ​​of the two are close, the temporal and spatial variation laws are consistent, and the temporal and spatial distribution continuity of the simulation results is not affected, can they be used in the climate feasibility demonstration. 4.2 Computational fluid dynamics simulation
4.2.1 The simulation scenario should be determined based on the underlying surface, climate characteristics and planning or construction project requirements of the simulation area. 4.2.2 The grid division scheme, initial and boundary conditions, parameterization scheme, etc. should be determined based on the simulation scenario. 5 Technical requirements for the application of reanalysis data
5.1 The reanalysis data obtained by applying the global circulation model analysis should be downscaled and compared with the measured data for verification. 5.2 When using reanalysis data to analyze the climate characteristics of the project area, the applicability analysis and correction should be carried out for the area where the planning or construction project is located and the meteorological elements of concern, and the process and conclusions of the applicability analysis and correction should be clearly given. The content of the applicability analysis includes correlation, bias, root mean square error, etc.
5.3 Only when the applicability analysis meets the statistical test requirements can the reanalysis data or the corrected results be used in the climate feasibility theory
verification.
5.4 When the existing reanalysis data do not meet the needs of planning or construction projects and self-made analysis data are generated, local meteorological observation data should be assimilated, and the service platform
should explain the assimilation method, numerical model, assimilated observation data, elements of the generated reanalysis data, spatiotemporal resolution, time period and other information. The generated reanalysis data should be inspected and corrected to ensure its reliability. 2
References
[1]］Zheng Guoguang. Encyclopedia of Chinese Meteorology[M]. Beijing: Meteorological Press, 2016[2]Shi Yongnian. Mesoscale Meteorological Numerical Model[J]. Computational Physics, 1992, 9(4): 745-748QX/T497—2019
[3]］Zhao Tianbao, Fu Zongbin, Ke Zongjian, et al. Current Status and Progress of Research on Global Atmospheric Reanalysis Data[J]. Advances in Earth Science, 2010. 25(3): 242-254
Industry Standard Information Service Platform
People's Republic of China
Meteorological Industry Standard
Climate Feasibility Demonstration Specification
Numerical Simulation and Reanalysis Data Application
QX/T497—2019
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