CN112733801B - Calculation method and device for marine internal wave generation frequency and electronic equipment - Google Patents

Calculation method and device for marine internal wave generation frequency and electronic equipment Download PDF

Info

Publication number
CN112733801B
CN112733801B CN202110092709.9A CN202110092709A CN112733801B CN 112733801 B CN112733801 B CN 112733801B CN 202110092709 A CN202110092709 A CN 202110092709A CN 112733801 B CN112733801 B CN 112733801B
Authority
CN
China
Prior art keywords
target
time period
data
remote sensing
target time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110092709.9A
Other languages
Chinese (zh)
Other versions
CN112733801A (en
Inventor
叶小敏
路晓庆
鲁云飞
邹斌
刘宇昕
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NATIONAL SATELLITE OCEAN APPLICATION SERVICE
Original Assignee
NATIONAL SATELLITE OCEAN APPLICATION SERVICE
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by NATIONAL SATELLITE OCEAN APPLICATION SERVICE filed Critical NATIONAL SATELLITE OCEAN APPLICATION SERVICE
Priority to CN202110092709.9A priority Critical patent/CN112733801B/en
Publication of CN112733801A publication Critical patent/CN112733801A/en
Application granted granted Critical
Publication of CN112733801B publication Critical patent/CN112733801B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • G06V20/13Satellite images
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/587Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location

Abstract

The invention provides a method and a device for calculating the occurrence frequency of ocean internal waves and electronic equipment, wherein the method comprises the following steps: acquiring satellite remote sensing data and sea surface roughness data of a target sea area in a target time period, and the working days of a remote sensing satellite corresponding to the satellite remote sensing data covering the target sea area in the target time period; determining an initial value of the marine internal wave generation frequency according to the satellite remote sensing data; and correcting the initial value according to the sea surface roughness data and the working days to obtain a corrected value of the occurrence frequency. According to the embodiment of the invention, the marine internal wave occurrence frequency determined by the satellite remote sensing data is corrected according to the working days of the remote sensing satellite and the sea surface roughness data, so that the problem of inaccurate statistics of the marine internal wave occurrence frequency due to the fact that partial strips except the marine internal wave are formed on the remote sensing image when the sea surface roughness is in a certain range can be solved, and the accuracy of calculating the marine internal wave occurrence frequency is improved.

Description

Calculation method and device for marine internal wave generation frequency and electronic equipment
Technical Field
The invention relates to the technical field of ocean information, in particular to a method and a device for calculating the occurrence frequency of ocean internal waves and electronic equipment.
Background
Ocean internal waves are an ocean phenomenon, which transfers the energy of the upper ocean layer to the deep layer and brings the cold seawater and nutrients in the deep layer to the warmer shallow layer, and play an important role in mass, momentum and energy transportation in the ocean. The generation of ocean internal waves has great influence on the development of industrial and agricultural economy and military aspects. With the development and improvement of science of society, the development, utilization and investigation of oceans are more and more emphasized.
The satellite optical remote sensing technology is an important technical means for exploring the activity rule of ocean internal waves. At present, the process of observing ocean internal waves based on the satellite optical remote sensing technology comprises the following steps: firstly, observing the distribution information of the marine internal waves through satellite optical remote sensing, then correcting the distribution information of the marine internal waves by using the days of satellite remote sensing observation, and finally obtaining the frequency or frequency information of the marine internal waves after correction.
However, in practical applications, the accuracy of the correction value of the marine internal wave generation frequency obtained by the above conventional technique is poor, and the marine internal wave generation frequency cannot be accurately reflected.
Disclosure of Invention
In view of this, the present invention provides a method, an apparatus, and an electronic device for calculating an ocean internal wave frequency, which can improve the accuracy of calculating the ocean internal wave frequency and more accurately reflect the actual frequency of the ocean internal wave.
In a first aspect, an embodiment of the present invention provides a method for calculating an ocean internal wave frequency, which is applied to calculating an ocean internal wave frequency, and includes: acquiring satellite remote sensing data and sea surface roughness data of a target sea area in a target time period, and the working days of a remote sensing satellite corresponding to the satellite remote sensing data covering the target sea area in the target time period; determining an initial value of the marine internal wave generation frequency of the target sea area in the target time period according to the satellite remote sensing data; and correcting the initial value according to the sea surface roughness data and the working days of the remote sensing satellite covering the target sea area in the target time period to obtain a corrected value of the marine internal wave generation frequency of the target sea area in the target time period.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the sea surface roughness data of the target sea area in the target time period is obtained by: acquiring sea surface wind speed data of the target sea area in the target time period; screening out a first data volume of the sea surface wind speed in a preset wind speed interval from the sea surface wind speed data; and determining the ratio of the first data volume to the total amount of the sea surface wind speed data as the sea surface roughness data of the target sea area in the target time period.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the step of acquiring sea surface wind speed data of the target sea area in the target time period includes: and extracting sea surface wind speed data of the target sea area in the target time period through a satellite microwave scatterometer sea surface wind speed remote sensing product of the target sea area.
With reference to the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, wherein the preset wind speed interval is 1m/s to 8 m/s.
With reference to the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the step of determining an initial value of an ocean internal wave generation frequency of the target sea area in the target time period according to the satellite remote sensing data includes: determining the first days for imaging the ocean internal waves of the target sea area in the target time period according to the satellite remote sensing data; and determining the ratio of the first days to the days in the target time period as an initial value of the marine internal wave generation frequency of the target sea area in the target time period.
With reference to the first aspect, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, where the step of correcting the initial value according to the sea surface roughness data and the number of working days of the remote sensing satellite covering the target sea area in the target time period to obtain a corrected value of the marine internal wave generation frequency of the target sea area in the target time period includes: correcting the initial value through a preset correction formula to obtain a correction value of the marine internal wave generation frequency of the target sea area in the target time period; wherein the correction formula is:
Figure BDA0002910653890000031
in the formula, piA correction value for the frequency of occurrence of the ocean internal waves; n is a radical ofiIs that it is remoteSensing the number of days that the satellite images the ocean waves occurring in the target sea area within the target time period; miIs the number of days in the target time period; q. q.si=Mi/DiCorrection factor for days of operation, DiThe working days for covering the target sea area by the remote sensing satellite in the target time period; fiIs the sea surface roughness data.
With reference to the first aspect, an embodiment of the present invention provides a sixth possible implementation manner of the first aspect, and the method for calculating the marine internal wave generation frequency according to any one of the fifth possible implementation manners of the first aspect to the first aspect, wherein the remote sensing satellite is an optical remote sensing satellite.
In a second aspect, the present embodiment further provides an apparatus for calculating an ocean internal wave occurrence frequency, including: the data acquisition module is used for acquiring satellite remote sensing data and sea surface roughness data of a target sea area in a target time period, and the number of working days for covering the target sea area by a remote sensing satellite corresponding to the satellite remote sensing data in the target time period; the ocean internal wave generation frequency initial value calculation module is used for determining the initial value of the ocean internal wave generation frequency of the target sea area in the target time period according to the satellite remote sensing data; the marine internal wave generation frequency correction module is used for determining an initial value of the marine internal wave generation frequency of the target sea area in the target time period according to the satellite remote sensing data; and correcting the initial value according to the sea surface roughness data and the working days of the remote sensing satellite covering the target sea area in the target time period to obtain a corrected value of the marine internal wave generation frequency of the target sea area in the target time period.
With reference to the second aspect, an embodiment of the present invention provides a first possible implementation manner of the second aspect, where the data obtaining module is further configured to: acquiring sea surface wind speed data of the target sea area in the target time period; screening out a first data volume of the sea surface wind speed in a preset wind speed interval from the sea surface wind speed data; and determining the ratio of the first data volume to the total amount of the sea surface wind speed data as the sea surface roughness data of the target sea area in the target time period.
In a third aspect, the present embodiment provides an electronic device, which includes a processor and a memory, where the memory stores computer-executable instructions capable of being executed by the processor, and the processor executes the computer-executable instructions to implement the steps of the method for calculating the marine internal wave occurrence frequency according to any one of the first to sixth possible implementation manners of the first aspect.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a method and a device for calculating the generation frequency of ocean internal waves and electronic equipment, wherein the method comprises the following steps: acquiring satellite remote sensing data and sea surface roughness data of a target sea area in a target time period, and the number of working days of a remote sensing satellite corresponding to the satellite remote sensing data covering the target sea area in the target time period; determining an initial value of the marine internal wave generation frequency of the target sea area in the target time period according to the satellite remote sensing data; and correcting the initial value according to the sea surface roughness data and the working days of the remote sensing satellite covering the target sea area in the target time period to obtain a corrected value of the marine internal wave generation frequency of the target sea area in the target time period. According to the technology, the marine internal wave occurrence frequency determined by the satellite remote sensing data is corrected according to the working days of the remote sensing satellite and the sea surface roughness data, so that the problem that when the sea surface roughness is in a certain range, the result of counting the marine internal wave occurrence frequency by using the satellite remote sensing data is influenced and inaccurate due to the fact that a part of strips except the marine internal wave are formed on a remote sensing image can be solved, the accuracy of calculating the marine internal wave occurrence frequency is improved, and the marine internal wave occurrence frequency is closer to the real occurrence frequency.
Additional features and advantages of the disclosure will be set forth in the description which follows, or in part may be learned by the practice of the above-described techniques of the disclosure, or may be learned by practice of the disclosure.
In order to make the aforementioned objects, features and advantages of the present disclosure more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flow chart of a method for calculating an ocean internal wave generation frequency according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the annual marine internal wave frequency of a certain sea area according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a probability distribution of sea surface wind speed data according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of the annual marine internal wave frequency of a certain sea area according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a device for calculating the frequency of marine internal waves according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Icon: 51-a data acquisition module; 52-an ocean internal wave generation frequency initial value calculation module; 53-marine internal wave generation frequency correction module; 61-a memory; 62-a processor; 63-bus; 64-a communication interface.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the remote sensing image, the remote sensing image with the following characteristics is judged as the remote sensing image displaying the ocean internal wave: 1. strips with certain bending and alternate bright and dark (dark and bright); 2. presenting as light and dark bands with a certain gradient, and presenting as either light or dark bands in special cases; 3. the wave packets are transmitted in a wave packet mode, each wave packet comprises a plurality of solitons, and certain intervals are formed among the wave packets; 4. the length and the amplitude of the wave crest line are arranged in a grading way, the largest wave crest line is arranged at the front end of the wave packet, and the smallest wave crest line is arranged at the tail end of the wave packet; 5. along the propagation direction of the internal wave, the length of the crest line of the isolated wave in the wave packet and the distance of the isolated wave present a decreasing trend; 6. most of the wave propagates to the shore, and the wave front is basically parallel to the landform isoprobe.
In the process of processing the remote sensing image, the remote sensing image is mainly processed by using special processing software for remote sensing data, for example: ENVI (The environmental for visualization Images, remote sensing image processing platform). In addition, since the resolution of images acquired by remote sensing satellites is high and the width of satellite data is wide, the observation of ocean internal waves cannot be performed every day. Therefore, the number of days that the remote sensing satellite images the ocean internal waves occurring in the target sea area within the target time period is generally considered to be the number of times the ocean internal waves occur. The remote sensing satellite transmits the remote sensing image in the form of satellite remote sensing data, and the number of times of occurrence of ocean internal waves can be determined according to the satellite remote sensing data.
At present, the existing marine internal wave observation process comprises the following steps: firstly, observing the distribution information of the marine internal waves through satellite optical remote sensing, then correcting the distribution information of the marine internal waves by using the days of satellite remote sensing observation, and finally obtaining the frequency or frequency information of the marine internal waves after correction. However, the accuracy of the marine internal wave frequency calculated by the above conventional techniques is poor, and the actual frequency of the marine internal wave cannot be accurately reflected.
Based on the above, the embodiment of the invention provides a method, a device and equipment for calculating the marine internal wave generation frequency, and the technology can be applied to the scene of calculating the marine internal wave generation frequency of various sea areas. For the convenience of understanding the present embodiment, a method for generating frequency of ocean internal waves disclosed in the present embodiment will be described in detail first.
Example 1
As shown in fig. 1, fig. 1 is a schematic flow chart of a method for calculating an ocean internal wave generation frequency according to an embodiment of the present invention, where the method includes the following steps:
and S101, acquiring satellite remote sensing data of a target sea area in a target time period and sea surface roughness data of the target sea area, and covering the working days of the target sea area by a remote sensing satellite corresponding to the satellite remote sensing data in the target time period.
In this embodiment, the remote sensing satellite is provided with an image acquisition device, and the satellite remote sensing data may include: the track data of the remote sensing satellite, the on-off time of the image acquisition device and the satellite remote sensing image data. Furthermore, the satellite remote sensing data can be the existing historical satellite remote sensing data and is used for calculating the marine internal wave generation frequency in the historical time period of the target sea area; the data acquired in real time through the remote sensing satellite can be used for calculating the current marine internal wave generation frequency of the target sea area.
According to the track data of the remote sensing satellite and the on-off time of the image acquisition device, the working days of the remote sensing satellite covering the target sea area in the target time period can be obtained, namely the working days of the remote sensing satellite corresponding to the satellite remote sensing data covering the target sea area in the target time period. And processing the satellite remote sensing data, for example, identifying whether the ocean internal waves occur in the remote sensing images of each day of the target sea area in an image identification mode, and determining the number of days of the ocean internal waves existing in all the remote sensing images in the target time period, so as to obtain the number of times of the ocean internal waves of the target sea area in the target time period, wherein the number of days of the ocean internal waves occurring in the target time period is the number of times of the ocean internal waves occurring in the time period.
In one or more of the embodiments, the remote sensing satellite is an optical remote sensing satellite. In other possible embodiments, the remote sensing satellite may also be a synthetic aperture radar.
Further, the above-mentioned sea surface roughness represents a sea surface roughness and has a characteristic parameter of a length dimension. The sea surface roughness data can be obtained by operation according to weather data and/or wave data of the target sea area in the target time period, and the sea surface roughness data of the target sea area in the target time periods of other years can be inquired in a historical record.
And S102, determining an initial value of the marine internal wave generation frequency of the target sea area in the target time period according to the satellite remote sensing data.
Here, the number of times of marine internal waves of the remote sensing satellite corresponding to the satellite remote sensing data in the target time period in the target sea area can be determined according to the satellite remote sensing data, and the initial value of the marine internal wave generation frequency in the target time period is determined according to the number of days in the target time period.
For example: the number of the marine internal waves in a certain sea area is 25 within 2018, the number of the marine internal waves in the sea area is 365 days in 2018, and the initial value of the marine internal wave generation frequency in 2018 is determined to be
Figure BDA0002910653890000081
And S103, correcting the initial value according to the sea surface roughness data and the working days of the remote sensing satellite covering the target sea area in the target time period to obtain a corrected value of the marine internal wave generation frequency of the target sea area in the target time period.
In this embodiment, the sea surface roughness data and the number of working days of the remote sensing satellite covering the target sea area in the target time period are respectively used as parameters of correction operation, and the correction value of the marine internal wave generation frequency of the target sea area in the target time period is finally obtained by correcting the initial value of the marine internal wave generation frequency in the target time period.
Researches find that the process of determining the occurrence frequency of the ocean internal waves according to the satellite remote sensing data is influenced by the roughness of the sea surface. First, when the sea surface roughness is small, a band other than the marine internal wave is not formed on the remote sensing image, and therefore the statistical accuracy of the number of marine internal wave occurrences is not affected. When the roughness of the sea surface is large, the sea waves refract sunlight to form a large number of bands which are not ocean internal waves, and the number of times of ocean internal waves can not be counted according to satellite remote sensing data. Secondly, when the sea surface roughness is in a certain range between the two conditions, a part of strip except the marine internal wave can be formed on the remote sensing image, and at the moment, the result precision of counting the occurrence frequency of the marine internal wave by using the satellite remote sensing data can be influenced by the sea surface roughness. Therefore, sea surface roughness is one of important factors in determining whether or not an ocean internal wave occurs and counting the number of occurrences thereof.
Compared with the traditional calculation method of the occurrence frequency of the marine internal wave, the sea surface roughness can directly influence the statistical accuracy of the occurrence frequency of the marine internal wave, the method not only takes the working days of the remote sensing satellite covering the target sea area in the target time period as the correction factor of the correction operation of the initial value of the occurrence frequency of the marine internal wave in the target time period, but also takes the sea surface roughness data as the parameter of the correction operation of the initial value of the occurrence frequency of the marine internal wave in the target time period, and relieves the error of the calculation of the occurrence frequency of the marine internal wave caused by the fact that partial bands except the marine internal wave are formed on the remote sensing image under the condition that the sea surface has certain roughness and the statistical accuracy of the occurrence frequency of the marine internal wave is influenced. Therefore, the accuracy of the correction value of the marine internal wave generation frequency of the target sea area in the target time period is further improved.
The method for calculating the marine internal wave generation frequency, provided by the embodiment of the invention, comprises the steps of obtaining satellite remote sensing data and sea surface roughness data of a target sea area in a target time period, and covering the working days of the target sea area by a remote sensing satellite corresponding to the satellite remote sensing data in the target time period; determining an initial value of the marine internal wave generation frequency of the target sea area in the target time period according to the satellite remote sensing data; and correcting the initial value according to the sea surface roughness data and the working days of the remote sensing satellite covering the target sea area in the target time period to obtain a corrected value of the marine internal wave generation frequency of the target sea area in the target time period. The method not only takes the working days covering the target sea area in the target time period as a correction parameter, but also takes the influence of sea surface roughness data on the statistical precision of the calculation of the marine internal wave generation frequency into consideration, and takes the sea surface roughness data as a parameter of correction operation of an initial value of the marine internal wave generation frequency in the target time period to correct the initial value. Therefore, the method further improves the calculation accuracy of the marine internal wave generation frequency on the basis of the calculation of the traditional marine internal wave generation frequency.
Example 2
On the basis of the method shown in FIG. 1, the invention also provides another method for calculating the waves of the occurrence frequency in the ocean.
Firstly, satellite remote sensing data and sea surface roughness data of a target sea area in a target time period are obtained, and the working days of a remote sensing satellite corresponding to the satellite remote sensing data covering the target sea area in the target time period.
In one possible embodiment, the sea surface roughness data of the target sea area in the target time period is obtained through the following steps 11-13:
(11) and acquiring sea surface wind speed data of the target sea area in the target time period.
Here, sea roughness is a quantity describing sea roughness, which mainly depends on the interaction of sea air, and conventional sea roughness data is difficult to directly measure and is mainly indirectly inferred through sea wind speed data.
In one or more of the embodiments, the sea wind speed data of the target sea area in the target time period can be extracted through a satellite microwave scatterometer sea wind speed remote sensing product of the target sea area. The sea surface wind speed remote sensing product of the satellite microwave scatterometer obtains the sea surface wind speed and wind direction data of a target sea area by measuring the amplitude of an echo signal by utilizing an interaction mechanism between electromagnetic waves and media.
(12) And screening out a first data volume of the sea surface wind speed in a preset wind speed interval from the sea surface wind speed data.
In this embodiment, the method for determining the preset wind speed interval includes: in the preset wind speed interval, strips except ocean internal waves in the remote sensing image generation can be observed. For example, assume that the wind speed interval is in U1m/s to U2In the m/s range, strips except the ocean internal wave can be generated in the remote sensing image, and the frequency of the ocean internal wave can be detected according to the satellite remote sensing data of the target sea area in the target time period acquired under the condition of the wind speed interval (the frequency of the ocean internal wave can not be counted because a large number of strips which are not the ocean internal wave are formed by the sunlight refracted by the sea waves), so that the preset wind speed interval is U1m/s to U2m/s。
In actual operation, assuming that the total amount of the acquired sea surface wind speed data is 100, 20 wind speed data in the 100 sea surface wind speed data are in a preset wind speed interval U1m/s to U2Within m/s, the number of the sea surface wind speed data is determined as the first data volume, namely 20.
In this embodiment, the predetermined wind speed interval is 1m/s to 8 m/s. Under the condition that the wind speed interval is 1m/s to 8m/s, the marine internal wave generation frequency can be determined according to satellite remote sensing data, and the sea surface wind speed in the wind speed interval influences the statistical accuracy of the marine internal wave generation times (other strips except the marine internal waves can be observed in a remote sensing image).
(13) And determining the ratio of the first data volume to the total amount of the sea surface wind speed data as the sea surface roughness data of the target sea area in the target time period.
In this embodiment, the ratio of the first data amount to the total amount of the sea-surface wind speed data is the probability of the sea-surface wind speed of the target sea area occurring within the preset wind speed interval within the target time period
Figure BDA0002910653890000111
The sea surface roughness data of the target sea area in the target time period is also 0.2.
Secondly, determining an initial value of the marine internal wave generation frequency of the target sea area in the target time period according to the satellite remote sensing data.
In one embodiment, a first number of days for imaging the ocean internal waves of the target sea area in the target time period is determined according to the satellite remote sensing data; and determining the ratio of the first days to the days in the target time period as an initial value of the marine internal wave generation frequency of the target sea area in the target time period.
For example: the number of days in the target time period is MiThe first day of imaging of the ocean internal waves generated in the target sea area is the number N of times of the ocean internal waves generated in the target time period in the target sea areaiThe first day NiAnd the number of days M within the target time periodiIs determined as the initial value p of the frequency of the ocean internal wave in the target sea area in the target time period0I.e. by
Figure BDA0002910653890000112
And finally, correcting the initial value through a preset correction formula to obtain a correction value of the marine internal wave generation frequency of the target sea area in the target time period.
In the present embodiment, the correction formula includes:
Figure BDA0002910653890000113
in the formula, piA correction value for the frequency of occurrence of the ocean internal waves; n is a radical ofiThe number of days for imaging the ocean internal waves generated in the target sea area by the remote sensing satellite in the target time period; miIs the number of days in the target time period; q. q.si=Mi/DiCorrection factor for days of operation, DiThe working days for covering the target sea area by the remote sensing satellite in the target time period; fiIs the sea surface roughness data.
In practical operation, the frequency of the marine internal wave can be calculated according to the following formula (2), and then the frequency of the marine internal wave can be calculated according to the following formula (3):
Figure BDA0002910653890000121
pi=fi×Mi (3)
in the formula (f)iCorrecting the frequency of the ocean internal waves; n is a radical ofiThe number of days for imaging the ocean internal waves generated in the target sea area by the remote sensing satellite in the target time period is the initial value of the frequency of the ocean internal waves; miIs the number of days in the target time period; q. q.si=Mi/DiCorrection factor for days of operation, DiThe working days for covering the target sea area by the remote sensing satellite in the target time period; fiThe sea surface roughness data; p is a radical ofiThe correction value of the marine internal wave generation frequency is obtained.
In order to further explain the ocean internal wave calculation method provided by the embodiment of the invention, a practical case is explained below.
Firstly, satellite remote sensing data of the north sea area of the south sea in the whole year is obtained, then the initial value is corrected according to the working days of the remote sensing satellite covering the target sea area in the whole year, and finally the correction value of the marine internal wave generation frequency of the target sea area in the target time period is obtained, namely the marine internal wave generation frequency is obtained through a traditional marine internal wave generation frequency calculation method. As shown in fig. 2, a schematic diagram of the marine internal wave generation frequency of a certain sea area all year around is provided for the present embodiment, as shown in fig. 2, the sea area is the north sea area of the south sea, the horizontal axis in the diagram is the month of the year around, and the vertical axis is the marine internal wave generation frequency value of the north sea area of the south sea in each month around the year through the traditional calculation method of the marine internal wave generation probability.
And secondly, extracting sea surface wind speed data of the north sea area of the south sea within one year by a satellite microwave scatterometer sea surface wind speed remote sensing product of the target sea area. Then, a first data volume of the sea surface wind speed within 1m/s to 8m/s per month is screened out from the sea surface wind speed data. And finally, determining the ratio of the first data volume to the total sea surface wind speed data as the sea surface wind speed probability. As shown in fig. 3, a schematic diagram of probability distribution of sea surface wind speed data is provided for the present embodiment. As can be seen from FIG. 3, the vertical axis of the histogram is month data, and the horizontal axis is the distribution of the probability data of the ocean wind speed in the north sea area of the south sea to 8m/s, and is also the ocean roughness data of the north sea area of the south sea.
Finally, by using the ocean wind speed probability shown in fig. 3 as sea surface roughness data and combining with the wave calculation method of the marine internal wave frequency in the embodiment, the marine internal wave frequency data of the north and south sea areas in fig. 2 in each month in the whole year is corrected to obtain the marine internal wave frequency correction value of the north and south sea areas in the whole year, as shown in fig. 4, another schematic diagram of the marine internal wave frequency of a certain sea area in the whole year is provided for the embodiment, as shown in fig. 4, the horizontal axis in the diagram is a month in the whole year, and the vertical axis is the marine internal wave frequency correction value of the north and south sea areas in each month in the year after being corrected by the sea surface roughness data in fig. 2.
According to the method for calculating the marine internal wave generation frequency, provided by the embodiment of the invention, sea surface wind speed data of the target sea area in the target time period is acquired; screening out a first data volume of the sea surface wind speed in a preset wind speed interval from the sea surface wind speed data; and determining the ratio of the first data volume to the total amount of the sea surface wind speed data as sea surface roughness data of the target sea area in a target time period, using the sea surface wind speed data as the sea surface roughness data, using the sea surface roughness data as a parameter of a preset correction formula, and correcting the marine internal wave generation frequency obtained by the conventional technology, thereby further improving the calculation accuracy of the marine internal wave generation frequency. In the calculation of the sea surface roughness, the sea surface wind speed is a main factor influencing the sea surface roughness, the method in the embodiment determines the sea surface roughness data through the sea surface wind speed data, and then corrects the initial value of the marine internal wave generation frequency by using the wind speed data as a parameter of a preset correction formula, so that the sea surface wind speed data is easy to obtain, and the measurement precision of the sea surface wind speed data is higher than that of the sea wave data, so that the calculation precision of the marine internal wave generation frequency is further improved.
Example 3
An embodiment of the present invention further provides a device for calculating an ocean internal wave frequency, as shown in fig. 5, which is a schematic diagram of a device for calculating an ocean internal wave frequency according to an embodiment of the present invention, and the device includes:
the data acquisition module 51 is configured to acquire satellite remote sensing data and sea surface roughness data of a target sea area in a target time period, and the number of working days for a remote sensing satellite corresponding to the satellite remote sensing data to cover the target sea area in the target time period.
The marine internal wave generation frequency initial value calculation module 52 is configured to determine an initial value of the marine internal wave generation frequency of the target sea area in the target time period according to the satellite remote sensing data;
and the marine internal wave generation frequency correction module 53 is configured to correct the initial value according to the sea surface roughness data and the number of working days of the remote sensing satellite covering the target sea area in the target time period, so as to obtain a correction value of the marine internal wave generation frequency of the target sea area in the target time period.
The data acquisition module 51, the ocean internal wave generation frequency initial value calculation module 52 and the ocean internal wave generation frequency correction module 53 are connected in sequence.
In one possible embodiment, the data obtaining module 51 is further configured to obtain sea surface wind speed data of the target sea area in the target time period; screening out a first data volume of the sea surface wind speed in a preset wind speed interval from the sea surface wind speed data; and determining the ratio of the first data volume to the total amount of the sea surface wind speed data as the sea surface roughness data of the target sea area in the target time period.
In another possible embodiment, the data obtaining module 51 is further configured to extract, through a satellite microwave scatterometer remote sensing product of the sea wind speed in the target sea area, the sea wind speed data in the target sea area in the target time period.
In another possible embodiment, the data obtaining module 51 is further configured to obtain sea surface wind speed data of the target sea area in the target time period; screening out a first data volume with the sea surface wind speed of 1m/s to 8m/s from the sea surface wind speed data; and determining the ratio of the first data volume to the total amount of the sea surface wind speed data as the sea surface roughness data of the target sea area in the target time period.
In another possible embodiment, the initial value calculating module 52 of marine internal wave generation frequency is further configured to determine, according to the satellite remote sensing data, that there is a first number of days for imaging marine internal waves generated in the target sea area in the target time period; and determining the ratio of the first days to the days in the target time period as an initial value of the marine internal wave generation frequency of the target sea area in the target time period.
In another possible embodiment, the marine internal wave generation frequency correction module 53 is further configured to correct the initial value by using a preset correction formula, so as to obtain a correction value of the marine internal wave generation frequency of the target sea area in the target time period;
wherein the correction formula is:
Figure BDA0002910653890000151
in the formula, piA correction value for the frequency of occurrence of the ocean internal waves; n is a radical ofiThe number of days for imaging the ocean internal waves generated in the target sea area by the remote sensing satellite in the target time period; miIs the number of days in the target time period; q. q.si=Mi/DiCorrection factor for days of operation, DiThe working days for covering the target sea area by the remote sensing satellite in the target time period; fiIs the sea surface roughness data.
In another possible implementation, the data obtaining module 51 is further configured to obtain satellite remote sensing data of the target sea area in the target time period, where a remote sensing satellite corresponding to the satellite remote sensing data is an optical remote sensing satellite.
The device for calculating the marine internal wave generation frequency provided by the embodiment of the invention has the same technical characteristics as the method for calculating the marine internal wave generation frequency provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
Example 4
The embodiment provides an electronic device, which comprises a processor and a memory, wherein the memory stores computer-executable instructions capable of being executed by the processor, and the processor executes the computer-executable instructions to realize the steps of the flashing method of the operating system.
Referring to fig. 6, a schematic structural diagram of an electronic device is shown, where the electronic device includes: the memory 61 and the processor 62, wherein the memory 61 stores a computer program capable of running on the processor 62, and the processor implements the steps provided by the method for calculating the frequency of ocean internal waves when executing the computer program.
As shown in fig. 6, the apparatus further includes: a bus 63 and a communication interface 64, the processor 62, the communication interface 64 and the memory 61 being connected by the bus 63; the processor 62 is arranged to execute executable modules, such as computer programs, stored in the memory 61.
The Memory 61 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 64 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.
Bus 63 may be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 6, but that does not indicate only one bus or one type of bus.
The memory 61 is used for storing a program, the processor 62 executes the program after receiving an execution instruction, and the method executed by the computing apparatus for calculating the marine internal wave generation frequency disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 62, or implemented by the processor 62. The processor 62 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by instructions in the form of hardware, integrated logic circuits, or software in the processor 62. The Processor 62 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory 61, and a processor 62 reads information in the memory 61 and completes the steps of the method in combination with hardware thereof.
Further, the present invention also provides a machine-readable storage medium, which stores machine-executable instructions, when the machine-executable instructions are called and executed by the processor 62, the machine-executable instructions cause the processor 62 to implement the above-mentioned method for calculating the marine internal wave generation frequency.
The method and the device for calculating the marine internal wave generation frequency and the electronic equipment provided by the embodiment of the invention have the same technical characteristics, so that the same technical problems can be solved, and the same technical effect can be achieved.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (9)

1. A method for calculating the frequency of occurrence of ocean internal waves is characterized by comprising the following steps:
acquiring satellite remote sensing data and sea surface roughness data of a target sea area in a target time period, and the number of working days of a remote sensing satellite corresponding to the satellite remote sensing data covering the target sea area in the target time period;
determining an initial value of the marine internal wave generation frequency of the target sea area in the target time period according to the satellite remote sensing data;
correcting the initial value through a preset correction formula to obtain a correction value of the marine internal wave generation frequency of the target sea area in the target time period;
wherein the correction formula is:
Figure FDA0003180393660000011
in the formula, piA correction value for the frequency of occurrence of the ocean internal waves; n is a radical ofiThe number of days for imaging the ocean internal waves occurring in the target sea area by the remote sensing satellite in the target time period is set; miIs the number of days in the target time period; q. q.si=Mi/DiCorrection factor for days of operation, DiWorking days for covering the target sea area by the remote sensing satellite in the target time period; fiThe sea surface roughness data.
2. The method of claim 1, wherein the sea surface roughness data for the target sea area over the target time period is obtained by:
acquiring sea surface wind speed data of the target sea area in the target time period;
screening out a first data volume of the sea surface wind speed in a preset wind speed interval from the sea surface wind speed data;
and determining the ratio of the first data volume to the total amount of the sea surface wind speed data as the sea surface roughness data of the target sea area in a target time period.
3. The method of claim 2, wherein the step of obtaining sea surface wind speed data for the target sea area over the target time period comprises:
and extracting sea surface wind speed data of the target sea area in the target time period through a satellite microwave scatterometer sea surface wind speed remote sensing product of the target sea area.
4. The method according to claim 2, wherein the preset wind speed interval is 1 to 8 m/s.
5. The method according to claim 1, wherein the step of determining an initial value of the marine internal wave occurrence frequency of the target sea area in the target time period according to the satellite remote sensing data comprises:
determining that the first days for imaging the ocean internal waves of the target sea area exist in the target time period according to the satellite remote sensing data;
and determining the ratio of the first days to the days in the target time period as an initial value of the marine internal wave generation frequency of the target sea area in the target time period.
6. The method for calculating the frequency of occurrence of ocean internal waves according to any one of claims 1 to 5, wherein the remote sensing satellite is an optical remote sensing satellite.
7. An apparatus for calculating an occurrence frequency of an ocean internal wave, comprising:
the data acquisition module is used for acquiring satellite remote sensing data and sea surface roughness data of a target sea area in a target time period, and the number of working days for covering the target sea area by a remote sensing satellite corresponding to the satellite remote sensing data in the target time period;
the ocean internal wave generation frequency initial value calculation module is used for determining the initial value of the ocean internal wave generation frequency of the target sea area in the target time period according to the satellite remote sensing data;
the marine internal wave generation frequency correction module is used for correcting the initial value through a preset correction formula to obtain a correction value of the marine internal wave generation frequency of the target sea area in the target time period; wherein the correction formula is:
Figure FDA0003180393660000021
in the formula, piA correction value for the frequency of occurrence of the ocean internal waves; n is a radical ofiThe number of days for imaging the ocean internal waves occurring in the target sea area by the remote sensing satellite in the target time period is set; miIs the number of days in the target time period; q. q.si=Mi/DiCorrection factor for days of operation, DiWorking days for covering the target sea area by the remote sensing satellite in the target time period; fiThe sea surface roughness data.
8. The device for calculating the marine internal wave generation frequency according to claim 7, wherein the data acquisition module is further configured to:
acquiring sea surface wind speed data of the target sea area in the target time period;
screening out a first data volume of the sea surface wind speed in a preset wind speed interval from the sea surface wind speed data;
and determining the ratio of the first data volume to the total amount of the sea surface wind speed data as the sea surface roughness data of the target sea area in a target time period.
9. An electronic device, comprising a processor and a memory, wherein the memory stores computer-executable instructions executable by the processor, and the processor executes the computer-executable instructions to implement the method for calculating the frequency of occurrence of ocean waves according to any one of claims 1 to 6.
CN202110092709.9A 2021-01-22 2021-01-22 Calculation method and device for marine internal wave generation frequency and electronic equipment Active CN112733801B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110092709.9A CN112733801B (en) 2021-01-22 2021-01-22 Calculation method and device for marine internal wave generation frequency and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110092709.9A CN112733801B (en) 2021-01-22 2021-01-22 Calculation method and device for marine internal wave generation frequency and electronic equipment

Publications (2)

Publication Number Publication Date
CN112733801A CN112733801A (en) 2021-04-30
CN112733801B true CN112733801B (en) 2021-09-14

Family

ID=75593475

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110092709.9A Active CN112733801B (en) 2021-01-22 2021-01-22 Calculation method and device for marine internal wave generation frequency and electronic equipment

Country Status (1)

Country Link
CN (1) CN112733801B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115980744B (en) * 2022-11-10 2024-03-22 国家卫星海洋应用中心 Method for separating satellite-borne SAR image data from non-overlapping masking peak sea wave image spectrum

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104268848A (en) * 2014-07-24 2015-01-07 上海海洋大学 Ocean internal wave velocity monitoring method
CN106951854A (en) * 2017-03-16 2017-07-14 中国人民解放军国防科学技术大学 A kind of SAR image internal wave of ocean parameter extracting method
CN107748360A (en) * 2017-09-05 2018-03-02 浙江海洋大学 Extra large table Wind-field Retrieval method and device
CN110285944A (en) * 2019-06-28 2019-09-27 中国科学院遥感与数字地球研究所 The prediction technique and system of Northern Part of South China Sea interior estimates
US10430654B1 (en) * 2018-04-20 2019-10-01 Surfline\Wavetrak, Inc. Automated detection of environmental measures within an ocean environment using image data

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110147716B (en) * 2019-04-02 2021-02-19 北京理工雷科电子信息技术有限公司 SAR image internal wave region detection method based on combination of frequency domain and airspace
CN112083428B (en) * 2020-09-02 2023-12-01 杭州电子科技大学 Ocean internal wave early warning and monitoring method based on acoustic vector field processing

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104268848A (en) * 2014-07-24 2015-01-07 上海海洋大学 Ocean internal wave velocity monitoring method
CN106951854A (en) * 2017-03-16 2017-07-14 中国人民解放军国防科学技术大学 A kind of SAR image internal wave of ocean parameter extracting method
CN107748360A (en) * 2017-09-05 2018-03-02 浙江海洋大学 Extra large table Wind-field Retrieval method and device
US10430654B1 (en) * 2018-04-20 2019-10-01 Surfline\Wavetrak, Inc. Automated detection of environmental measures within an ocean environment using image data
CN110285944A (en) * 2019-06-28 2019-09-27 中国科学院遥感与数字地球研究所 The prediction technique and system of Northern Part of South China Sea interior estimates

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Ocean ambient noises modulated by internal solitary waves;Yiing Jang Yang,and etc;《 2013 MTS/IEEE OCEANS - Bergen》;20130926;第1-4页 *
陆架区海洋内波传播特性遥感方法分析;高国兴等;《中国图象图形学报》;20100531;第15卷(第5期);第790-795页 *

Also Published As

Publication number Publication date
CN112733801A (en) 2021-04-30

Similar Documents

Publication Publication Date Title
US9097805B2 (en) Systems and methods for calibrating dual polarization radar systems
Mauder et al. Field intercomparison of prevailing sonic anemometers
US9261583B2 (en) Systems and methods for calibrating dual polarization radar systems
Smith et al. Evaluation of the WMO Solid Precipitation Intercomparison Experiment (SPICE) transfer functions for adjusting the wind bias in solid precipitation measurements
KR20130044551A (en) A system and method for sea-surface wind -detection using satellite observation
CN112733801B (en) Calculation method and device for marine internal wave generation frequency and electronic equipment
CN113468773A (en) Global table wind wave numerical simulation method and system
CN109613503A (en) The Calibration Method and device of radar echo signal
CN107678025B (en) Sea wave height calculation method and device, storage medium and processor
Milewska et al. Adjusting precipitation amounts from Geonor and Pluvio automated weighing gauges to preserve continuity of observations in Canada
CN114397636A (en) Method, system and equipment for evaluating uniformity of reflectivity factor of ground-based radar
Huuskonen et al. Radar performance monitoring using the angular width of the solar image
CN115877345B (en) Method and device for supplementing missing measurement data of wind profile radar
Solbrekke et al. Norwegian hindcast archive (NORA3)–A validation of offshore wind resources in the North Sea and Norwegian Sea
CN116823579A (en) Method and system for predicting water quantity change of mountain glacier lake
CN112579980A (en) Wind field data processing method, device, equipment and storage medium
CN115953034A (en) Method and device for evaluating and zoning risk of gale disaster, electronic equipment and medium
CN114415181A (en) Method and device for generating original echo of synthetic aperture radar
CN113093183B (en) Threshold determination method, sea ice thickness inversion method, device, equipment and medium
CN114814779A (en) Buoy surge wave height observation data error evaluation method, system, equipment and medium
CN114252875A (en) High-precision gridding method for imaging altimeter data
JPH1123350A (en) Method and apparatus for measuring liquid level
CN116108338B (en) Dynamic set identification method and device for particle phase state
CN116359877B (en) Large fog weather monitoring method and device based on wind profile radar
Smith et al. Evaluation of the WMO-SPICE transfer functions for adjusting the wind bias in solid precipitation measurements

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant