CN112182759A - Method for testing wave numerical simulation result based on satellite altimeter data - Google Patents
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Abstract
The invention discloses a method for testing a wave numerical simulation result based on satellite altimeter data, which mainly comprises the following steps: processing satellite altimeter data, processing a wave numerical simulation result and verifying the wave numerical simulation result. The satellite altimeter data is introduced in the simulation and verification process to verify the wave numerical simulation result, so that the model simulation result can be more accurately verified, and the reliability of the model simulation result is improved; meanwhile, screening and calculation can be performed by combining corresponding programming software, so that the workload of manual statistics can be remarkably reduced, and the working efficiency and the accuracy are improved.
Description
Technical Field
The invention relates to the field of wave data processing, in particular to a method for testing a wave numerical simulation result based on satellite altimeter data.
Background
With the globalization of economy, the water transportation industry is rapidly developed, and the harbour building level is obviously improved. In the design and construction process of ports, wave elements near the shore and the wharf are obtained by a numerical simulation method. In order to verify the accuracy of the wave numerical simulation result, the result needs to be checked by using the actually measured wave data. The types of measured data currently commonly used for inspection are: wave station data, buoy data and satellite altimeter data. The wave data of the satellite altimeter has the advantages of wide coverage range, more available data and the like, so that the wave data of the satellite altimeter is increasingly used for checking wave numerical simulation results.
The currently common inspection method is that a professional manually finishes reading and data summarization of the satellite altimeter data, then the data are compared with a wave numerical simulation result, and finally the inspection result is manually summarized. The method is time-consuming, inefficient and prone to errors. There is thus a pressing need for a method that can automatically verify the results of numerical wave simulations.
Disclosure of Invention
The invention aims to solve the technical problem of the prior art and provides a method for testing a wave numerical simulation result based on satellite altimeter data, which can test the model simulation result more accurately, efficiently, time-saving and labor-saving and can improve the reliability of the model simulation result.
In order to solve the technical problems, the invention adopts the following technical scheme: a method for testing wave numerical simulation results based on satellite altimeter data is characterized in that: the method comprises the following steps:
the first step, the processing of the satellite altimeter data:
1) collecting satellite altimeter data;
2) writing a program, and automatically screening effective satellite altimeter data;
3) summarizing effective satellite altimeter data;
step two, processing a wave numerical simulation result:
a) simulating wave numerical values;
b) obtaining a wave numerical simulation result;
obtaining wave simulation values of a research area, including wave height, period and wave direction, through wave numerical simulation software; the simulation value is obtained by adopting default parameters of the model, so that the accuracy of the simulation result needs to be further verified;
c) automatically reading and summarizing wave simulation results by programming a program;
thirdly, verifying a wave numerical simulation result;
A) counting the calculated value of the parameter;
B) allowable values of statistical parameters;
C) the calculated values of the statistical parameters are compared with the allowed values.
In step 1) of the first step, the satellite altimeter data is wave data measured by the satellite, including wave height, wave period and wave direction.
In the step 2) of the first step, the wave data of the satellite altimeter cannot be directly used, the measurement error needs to be considered, the original data is screened to obtain the effective wave data of the satellite altimeter, the screening process adopts programming software to write a program, and the automatic screening of the data of the satellite altimeter is realized according to the following screening conditions:
the water depth is more than 1000m, and the wave height is 0-11 m;
the difference of wave height values between two adjacent points is less than 8 m;
the data was not affected by ice coverage.
For example, the screening process can adopt programming software to write a program, so that the aim of automatically screening the data of the satellite altimeter is fulfilled. The procedure was as follows:
% screening out data of satellite altimeter corresponding to water depth greater than 1000m
a find (bathymetry1< -1000); % screening wave height data of the satellite altimeter corresponding to the water depth of more than 1000m by adopting a find function;
% screening out data of satellite altimeter corresponding to wave height between 0m and 11m
b ═ find (software > - < 0& software ═ 11); % using a find function can screen wave height data of the satellite altimeter corresponding to the wave height between 0m and 11 m;
% screening satellite altimeter data with wave height value difference between two adjacent points less than 8m
c ═ diff (satellite); % using diff function to obtain difference of wave height values of satellite altimeter between two adjacent points
d ═ find (c <8& c > -8) + 1; % screening wave height data of the satellite altimeter corresponding to the wave height value difference smaller than 8m by adopting a find function;
% screening satellite altimeter data not affected by ice coverage
Fine (ice _ flag3 ═ 0); % using the find function can screen out wave height data of the corresponding satellite altimeter when the wave height data are not influenced by ice coverage.
In the second step, step a), wave simulation software MIKE21-SW model is adopted to carry out wave numerical simulation, and the parameters of the model are selected to be default values. The MIKE21-SW model is developed by the Danish DHI formula and is mainly used for wave simulation of deep water and near shore, and the model can model physical phenomena such as wave diffraction, shallow water deformation and the like.
In the step A) of the third step, the correlation between the wave height data of the satellite altimeter and the wave height data calculated by the wave numerical simulation software is calculated by writing a program, and three statistical parameters are introduced for quantitatively comparing the relationship between the wave height data and the wave numerical simulation software: correlation coefficient, dispersion and mean deviation, three statistical parameters are defined as follows:
in the formula, XiAnd YiRespectively indicating wave height data of a satellite altimeter and a wave numerical simulation result at each moment;andrespectively indicating the average value of wave height data of a satellite altimeter and wave numerical simulation results in the whole time period;
the three statistical parameters are quickly solved through programming, and firstly, the correlation coefficient between the satellite altimeter and wave height data obtained through wave numerical simulation is quickly solved; secondly, quickly solving the average deviation between the satellite altimeter and wave height data obtained by wave numerical simulation; and finally, quickly solving the dispersion between the satellite altimeter and wave height data obtained by wave numerical simulation.
As can be solved quickly by programming, the program code is as follows:
corrcoef (Satellite, numerical); % of self-contained corrcoef function can be used for quickly solving the correlation coefficient between the satellite altimeter and wave height data obtained by wave numerical simulation;
MBIAS ═ (mean-Satellite))/Satellite 100; % adopting a mean function of the satellite altimeter can quickly solve the average deviation between the satellite altimeter and wave height data obtained by wave numerical simulation; SI ═ sqrt (mean ((numerical-satillite-MBIAS/100 ·. satillite.). 2))/mean (sat ellite)); % adopts mean and sqrt functions of the satellite altimeter and the wave height data obtained by wave numerical simulation, and the dispersion between the satellite altimeter and the wave height data can be quickly solved.
In the step C) of the third step, comparing the calculated value of the statistical parameter obtained by calculation with an allowable value, and if the calculated value is less than or equal to the allowable value, indicating that the wave numerical simulation result meets the requirements of a user; if the calculated value is larger than the allowable value, the wave numerical simulation result does not meet the requirements of the user, the model parameters need to be reset, then the calculation of the wave model is carried out, and the operation is repeated for a plurality of times until the calculated value of the statistical parameters is smaller than or equal to the allowable value.
Compared with the prior art, the method has the following advantages: (1) the satellite altimeter data is introduced to verify the wave numerical simulation result, so that the model simulation result can be more accurately checked, and the reliability of the model simulation result is improved;
(2) and by combining programming software, the workload of manual statistics can be remarkably reduced, and the working efficiency and the accuracy are improved.
Drawings
FIG. 1 is a schematic block diagram of the flow of wave number simulation result verification of the present invention;
FIG. 2 is a schematic diagram showing the comparison of wave height data and wave numerical simulation results of the satellite altimeter of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the attached drawings, but the present invention is not limited thereto.
Referring to fig. 1, in this embodiment, the method for checking the wave numerical simulation result based on the satellite altimeter data includes the following specific steps:
1. the processing of the satellite altimeter data comprises the following three steps:
1.1, collecting data of a satellite altimeter;
the wave data of the satellite altimeter refers to wave data measured by the satellite, including wave height, wave period, and wave direction.
1.2, the data of the effective satellite altimeter can be automatically screened out by adopting a programming program;
the wave data of the satellite altimeter can not be directly used, measurement errors need to be considered, and original data are screened, so that the wave data of the effective satellite altimeter can be obtained, and the screening principle is as follows:
the water depth is more than 1000m, and the wave height is 0-11 m;
the difference of wave height values between two adjacent points is less than 8 m;
this point is not affected by ice coverage.
Method for screening effective satellite altimeter: programming software is adopted to write a program, and the purpose of automatically screening the data of the satellite altimeter is achieved. The procedure was as follows:
selecting data of a satellite altimeter corresponding to the water depth of more than 1000m by percent;
a find (bathymetry1< -1000); % screening wave height data of the satellite altimeter corresponding to the water depth of more than 1000m by adopting a find function;
selecting data of a satellite altimeter corresponding to the wave height between 0 and 11m by percent;
b ═ find (software > - < 0& software ═ 11); % using a find function can screen wave height data of the satellite altimeter corresponding to the wave height between 0m and 11 m;
selecting satellite altimeter data with the wave height value difference between two adjacent points less than 8m by percent;
c ═ diff (satellite); % adopting diff function to obtain the difference of wave height values of the satellite altimeter between two adjacent points;
d ═ find (c <8& c > -8) + 1; % screening wave height data of the satellite altimeter corresponding to the wave height value difference smaller than 8m by adopting a find function;
selecting satellite altimeter data which is not influenced by ice coverage by percent;
fine (ice _ flag3 ═ 0); the wave height data of the satellite altimeter corresponding to the situation that the satellite altimeter is not influenced by ice coverage can be screened out by adopting the find function;
1.3, summarizing effective satellite altimeter data;
and summarizing wave height data of the effective satellite altimeter screened in the step 1.2 so as to facilitate comparison and verification of a subsequent wave numerical simulation result.
2. The processing of the wave numerical simulation result is divided into the following three steps:
2.1, simulating a wave numerical value;
the method is characterized in that the international universal wave simulation software MIKE21-SW model is adopted to carry out wave numerical simulation, and the parameters of the model are selected to be default values. The MIKE21-SW model is developed by the Danish DHI formula and is mainly used for wave simulation of deep water and near shore, and the model can model physical phenomena such as wave diffraction, shallow water deformation and the like.
2.2, wave numerical simulation results;
the wave numerical simulation software can obtain the wave simulation value of a research area, which mainly comprises wave height, period and wave direction. The simulation value is obtained by using the default parameters of the model, so that the accuracy of the simulation result needs to be further verified.
2.3, automatically reading and summarizing wave simulation results by adopting a compiling program;
since the file format of the wave numerical simulation result obtained by the above 2.2 calculation is dfsu, the file in the format can only be opened by special software, and for comparison and verification with the satellite altimeter data, the file format needs to be converted into a general file format, such as the format of txt.
3. The verification of the wave numerical simulation result is carried out by the following three steps:
3.1, calculating values of statistical parameters;
by adopting a writing program, the correlation between wave height data of the satellite altimeter and wave height data calculated by wave numerical simulation software is calculated, and in order to quantitatively compare the relationship between the wave height data and the wave height data, three statistical parameters are introduced: correlation coefficient, dispersion and mean deviation. The three statistical parameters are defined as follows:
in the formula, XiAnd YiRespectively indicating wave height data of a satellite altimeter and a wave numerical simulation result at each moment;andrespectively, mean values of wave height data of the satellite altimeter and wave numerical simulation results for the whole time period.
These three statistical parameters can be solved quickly by programming, and the program code is as follows:
corrcoef (Satellite, numerical); % of self-contained corrcoef function can be used for quickly solving the correlation coefficient between the satellite altimeter and wave height data obtained by wave numerical simulation;
MBIAS ═ (mean-Satellite))/Satellite 100; % adopting a mean function of the satellite altimeter can quickly solve the average deviation between the satellite altimeter and wave height data obtained by wave numerical simulation;
SI ═ sqrt (mean ((numerical-satillite-MBIAS/100 ·. satillite). 2))/mean (satilite); % adopts mean and sqrt functions of the satellite altimeter and the wave height data obtained by wave numerical simulation, and the dispersion between the satellite altimeter and the wave height data can be quickly solved.
3.2, allowable values of statistical parameters;
in order to quantitatively evaluate the accuracy of the wave numerical simulation result, an allowable value of a statistical parameter between wave height data of the satellite altimeter and wave height data calculated by wave numerical simulation software needs to be given, and the value is determined according to the precision requirement of a user.
3.3, comparing the calculated value of the statistical parameter with an allowable value;
comparing the calculated value and the allowable value of the statistical parameter respectively obtained in the step 3.1 and the step 3.2, and if the calculated value is not more than the allowable value, indicating that the wave numerical simulation result meets the requirements of a user; if the calculated value is larger than the allowable value, the wave numerical simulation result does not meet the requirements of the user, the model parameters need to be reset, then the calculation of the wave model is carried out, and the operation is repeated for a plurality of times until the calculated value of the statistical parameters is smaller than or equal to the allowable value. The result of the comparison is shown in fig. 2, the effect can be analyzed and checked from the qualitative and quantitative angles in fig. 2, the accuracy of the wave numerical simulation result can be qualitatively judged by observing the dispersion degree of the scatter diagram, and if the dispersion degree is larger, the wave numerical simulation result is poorer; if the dispersion degree is not large and the dispersion points are all near the y-x line, the wave numerical simulation result is better. The accuracy of the wave numerical simulation result can be quantitatively judged through the correlation coefficient, the average deviation and the dispersion, if the correlation coefficient is closer to 1, the average deviation is closer to 0, and the dispersion is closer to 0, the wave numerical simulation result is better.
The present invention has been described in detail, and it should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
Claims (6)
1. A method for testing wave numerical simulation results based on satellite altimeter data is characterized in that: the method comprises the following steps:
the first step, the processing of the satellite altimeter data:
1) collecting satellite altimeter data;
2) writing a program, and automatically screening effective satellite altimeter data;
3) summarizing effective satellite altimeter data;
step two, processing a wave numerical simulation result:
a) simulating wave numerical values;
b) obtaining a wave numerical simulation result;
obtaining wave simulation values of a research area, including wave height, period and wave direction, through wave numerical simulation software; the simulation value is obtained by adopting default parameters of the model, so that the accuracy of the simulation result needs to be further verified;
c) automatically reading and summarizing wave simulation results by programming a program;
thirdly, verifying a wave numerical simulation result;
A) counting the calculated value of the parameter;
B) allowable values of statistical parameters;
C) the calculated values of the statistical parameters are compared with the allowed values.
2. The method of claim 1 for verifying the results of numerical simulation of waves based on satellite altimeter data, wherein: in step 1) of the first step, the satellite altimeter data is wave data measured by the satellite, including wave height, wave period and wave direction.
3. The method of claim 1 for verifying the results of numerical simulation of waves based on satellite altimeter data, wherein: in the step 2) of the first step, the wave data of the satellite altimeter cannot be directly used, the measurement error needs to be considered, the original data is screened to obtain the effective wave data of the satellite altimeter, the screening process adopts programming software to write a program, and the automatic screening of the data of the satellite altimeter is realized according to the following screening conditions:
the water depth is more than 1000m, and the wave height is 0-11 m;
the difference of wave height values between two adjacent points is less than 8 m;
the data was not affected by ice coverage.
4. The method of claim 1 for verifying the results of numerical simulation of waves based on satellite altimeter data, wherein: in the second step, step a), wave simulation software MIKE21-SW model is adopted to carry out wave numerical simulation, and the parameters of the model are selected to be default values.
5. The method of claim 1 for verifying the results of numerical simulation of waves based on satellite altimeter data, wherein: in the step A) of the third step, the correlation between the wave height data of the satellite altimeter and the wave height data calculated by the wave numerical simulation software is calculated by writing a program, and three statistical parameters are introduced for quantitatively comparing the relationship between the wave height data and the wave numerical simulation software: correlation coefficient, dispersion and mean deviation, three statistical parameters are defined as follows:
in the formula, XiAnd YiRespectively indicating wave height data of a satellite altimeter and a wave numerical simulation result at each moment;andrespectively indicating the average value of wave height data of a satellite altimeter and wave numerical simulation results in the whole time period;
The three statistical parameters are quickly solved through programming, and firstly, the correlation coefficient between the satellite altimeter and wave height data obtained through wave numerical simulation is quickly solved; secondly, quickly solving the average deviation between the satellite altimeter and wave height data obtained by wave numerical simulation; and finally, quickly solving the dispersion between the satellite altimeter and wave height data obtained by wave numerical simulation.
6. The method of claim 1 for verifying the results of numerical simulation of waves based on satellite altimeter data, wherein: in the step C) of the third step, comparing the calculated value of the statistical parameter obtained by calculation with an allowable value, and if the calculated value is less than or equal to the allowable value, indicating that the wave numerical simulation result meets the requirements of a user; if the calculated value is larger than the allowable value, the wave numerical simulation result does not meet the requirements of the user, the model parameters need to be reset, then the calculation of the wave model is carried out, and the operation is repeated for a plurality of times until the calculated value of the statistical parameters is smaller than or equal to the allowable value.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115081254A (en) * | 2022-08-19 | 2022-09-20 | 中交第四航务工程勘察设计院有限公司 | Blocking high-efficiency calibration method and device for global wave mathematical model |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105205200A (en) * | 2015-04-27 | 2015-12-30 | 河海大学 | Verification method for silt coast wave-induced current numerical simulation |
CN108319772A (en) * | 2018-01-26 | 2018-07-24 | 中国科学院海洋研究所 | A kind of analysis method again of wave long term data |
CN108920877A (en) * | 2018-08-02 | 2018-11-30 | 中交第四航务工程勘察设计院有限公司 | A kind of global wave method for numerical simulation based on MIKE21-SW model |
CN110264484A (en) * | 2019-06-27 | 2019-09-20 | 上海海洋大学 | A kind of improvement island water front segmenting system and dividing method towards remotely-sensed data |
-
2020
- 2020-09-27 CN CN202011033080.2A patent/CN112182759A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105205200A (en) * | 2015-04-27 | 2015-12-30 | 河海大学 | Verification method for silt coast wave-induced current numerical simulation |
CN108319772A (en) * | 2018-01-26 | 2018-07-24 | 中国科学院海洋研究所 | A kind of analysis method again of wave long term data |
CN108920877A (en) * | 2018-08-02 | 2018-11-30 | 中交第四航务工程勘察设计院有限公司 | A kind of global wave method for numerical simulation based on MIKE21-SW model |
CN110264484A (en) * | 2019-06-27 | 2019-09-20 | 上海海洋大学 | A kind of improvement island water front segmenting system and dividing method towards remotely-sensed data |
Non-Patent Citations (2)
Title |
---|
吴萌萌: "集合同化方法在海浪同化中的试验", 《中国优秀博硕士学位论文全文数据库(硕士)基础科学辑》 * |
宗芳伊 等: "近20年南海波浪及波浪能分布、变化研究", 《万方学术论文》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115081254A (en) * | 2022-08-19 | 2022-09-20 | 中交第四航务工程勘察设计院有限公司 | Blocking high-efficiency calibration method and device for global wave mathematical model |
CN115081254B (en) * | 2022-08-19 | 2022-11-15 | 中交第四航务工程勘察设计院有限公司 | Blocking high-efficiency calibration method and device for global wave mathematical model |
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