CN107784250A - Rossby wave identification and extractive technique based on global ocean remotely-sensed data - Google Patents
Rossby wave identification and extractive technique based on global ocean remotely-sensed data Download PDFInfo
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- CN107784250A CN107784250A CN201610714008.3A CN201610714008A CN107784250A CN 107784250 A CN107784250 A CN 107784250A CN 201610714008 A CN201610714008 A CN 201610714008A CN 107784250 A CN107784250 A CN 107784250A
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Abstract
The present invention relates to a kind of identification of the global rossby wave of space and time continuous based on global ocean remotely-sensed data and extractive technique.It is that space-time is discrete, discontinuous to have studied mostly, therefore we add the method for parallel three-dimensional Radon transform to obtain the feature of rossby wave in the identification of rossby wave and extraction process.Altimeter data and other ocean remote sensing data of the technology based on the high-precision long-term sequence in the whole world（Such as Hai Wen, extra large chromatic number evidence）It is compared and matching treatment.If the rossby wave feature in same spatio-temporal region has performance in multiple data sets, then it represents that has the communication process of rossby wave in its region；Using obtained data and the theory analysis of rossby wave its characteristic parameter, and obtain its feature set.Then parallel parsing is carried out to the data in multiple regions, improves the efficiency and speed of identification and extraction.
Description
Technical field
The invention belongs to marine information technical field, and in particular to the rossby wave identification based on global ocean remotely-sensed data
And extractive technique.
Background technology
Planetary wave in ocean is theoretical, applied to the dynamic (dynamical) research of ocean circulation, especially for the middle chi of ocean
The research of the interaction in degree whirlpool, macroturbulence (turn turbulent flow) and various large scales and Mesoscale Motion, wherein relevant sieve
This than the relation of ripple and ocean circulation, planetary wave and continental shelf interception ripple interaction, non-linear planetary wave theory and
The research of numerical simulation, it has also become very active problem in ocean dynamics and Fluids dynamics research.
Method for distinguishing is known to ocean rossby wave to be had a variety of, and common rossby wave recognition methods at present has Hovm ller
Figure method, two-dimentional Radon transform method, three-dimensional Radon transform method.
(1) Hovm ller figures method:This method is by the way that the data investigation on Same Latitude is found into longitude-time diagram
Banded diagonal arrangement realizes the extraction of ocean rossby wave and identification.Using Fourier after characteristic point is got
The position that the method for conversion finds the appearance of power spectrum upward peak determines its parameter.This method efficiency is higher and implementation is relatively simple,
But the propagation phase velocity of estimation is often bigger than normal.
(2) two-dimentional Radon transform method：This method is a kind of method based on Hovm ller figure methods, is taken longitude-time
Scheme the algorithm projected at a certain angle on straight line, the energy spectrum after being converted.Try to achieve corresponding to its maximum power spectrum
Angle, you can obtain the information such as phase velocity.This method compared with（1）Middle method is more objective, but is also limited on Same Latitude
Calculate.
(3) three-dimensional Radon transform method:This method is by method（2）The method of three-dimensional is extended to, time dimension is added, makes
Obtain the anglec of rotation and increase two.Similar to two dimension, its energy spectrum peak has corresponded to one group of angle, sieve is can obtain using this group of angle
The information such as Si Beibo velocity.This method breaches the limitation on latitude, but its is computationally intensive, is applied to regionality at present
Analyze more.
At present in the Study of recognition of Yu Haiyang rossby wave, shorter mention is to being based on long-time span whole world rossby wave
Research in terms of feature extraction, existing method or less efficient, or space-time are discontinuous, and traveling one can not be entered to ocean rossby wave
The research and analysis of step, and consume many unnecessary calculating times.
The content of the invention
The technique effect of the present invention can overcome drawbacks described above, there is provided a kind of Rossby based on global ocean remotely-sensed data
Ripple identifies and extractive technique.In long-time span, the ocean rossby wave extraction process of global space and time continuous, simply by number
Draw according to this window form carry out handle elapsed time it is longer.We by using the method for reasonable piecemeal and parallel processing come and meanwhile it is right
The marine site in the whole world carries out the extraction and analysis of rossby wave.
To achieve the above object, the present invention adopts the following technical scheme that, concretely comprises the following steps：
（1）According to correlation theory by the reasonable piecemeal of global ocean remotely-sensed data;
（2）Parallel three-dimensional Radon transform is carried out to block data to handle;
（3）Screening is carried out to obtained result set and tries to achieve angle corresponding to peak value, and using vortex detection result carry out interference because
The rejecting of element；
（4）Try to achieve the relevant feature parameters such as velocity vector field.
Above-mentioned steps（1）In, the size of piecemeal for the longitude of 5 latitudes × 11, the data used for AVISO MSLA-H numbers
According to.Above-mentioned steps（2）In, three dimensions of three-dimensional Radon transform are longitude, latitude, time.Above-mentioned steps（3）In, it is vortexed and knows
Other result set comes from the parallel altimeter extraction algorithm of optimization.Above-mentioned steps（4）In, characteristic parameter also includes energy field.
The beneficial effects of the present invention are：Based on parallel three-dimensional Radon transform algorithm, the place of data is effectively improved
Speed is managed, and can ensure to extract the accuracy of feature；The characteristics of other algorithm is that the result extracted has space-time company
Continuous property, the result of acquisition can be used for the rossby wave signature analysis in the whole world.
Brief description of the drawings
Rossby wave identification and extractive technique flow chart of the Fig. 1 based on global ocean remotely-sensed data.
Embodiment
The identification of the rossby wave based on global ocean remotely-sensed data of the present invention and extractive technique（As shown in Figure 1）, including
Following steps.
（1）Remotely-sensed data stripping and slicing is handled according to the correlation theory of ocean rossby wave, and to longitude, latitude and time this
Three carry out parallel three-dimensional Radon transform.
（2）Its peak value is tried to achieve in data set after the conversion and obtains corresponding one group of angle, is required Rossby
Ripple signal.
（3）Utilize the multi-source data and vortex detection data pair of accumulation（2）In obtained rossby wave signal disturbed
The rejecting of factor, and try to achieve the characteristic parameters such as velocity and feature structure.
（4）Analysis result is preserved and carries out the further research such as visualizing.
Claims (4)
1. rossby wave identification and extractive technique based on global ocean remotely-sensed data, it is characterised in that comprise the following steps：
1）Data are carried out with rational stripping and slicing processing and to block number according to the parallel three-dimensional Radon transform of progress；2）Number after the conversion
According to the feature structure that energy feature maximum is searched in the range of collection；3）Using other observation data verification extraction results and reject vortex
Interference, obtain detailed feature structure and seek its characteristic parameter.
2. according to the identification of the rossby wave based on global ocean remotely-sensed data described in claim 1 and extractive technique, it is special
Sign is the step（1）In, rational data stripping and slicing is carried out according to ocean rossby wave is theoretical, while utilize for accelerating algorithm
Concurrent technique accelerates to the three-dimensional Radon transform of data.
3. according to the identification of the rossby wave based on global ocean remotely-sensed data described in claim 1 and extractive technique, it is special
Sign is the step（2）In, determined to integrate obtained energy value according to one group of rotation angle θ of data in certain region and φ, and
The numerical value at this group of angle when calculating its peak value；The Energy distribution in whole data fields is tried to achieve using the peak value of each position simultaneously,
And estimate its spread speed.
4. according to the identification of the rossby wave based on global ocean remotely-sensed data described in claim 1 and extractive technique, it is special
Sign is the step（3）In, the vortex result extracted using global vortex detection algorithm rejects disturbing factor, and utilizes it
The data in its source are verified to result, then try to achieve the velocity vector field and Energy distribution of the ocean rossby wave extracted
Figure.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113507280A (en) * | 2021-06-22 | 2021-10-15 | 中国海洋大学 | Ocean first mode Rosbee wave signal separation and extraction method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007100865A2 (en) * | 2006-02-28 | 2007-09-07 | The Boeing Company | Arbitrarily shaped deployable mesh reflectors |
| CN104035138A (en) * | 2014-04-25 | 2014-09-10 | 西安测绘研究所 | Accurate and rapid calculation method for global and local ocean disturbing gravity |
| CN104657628A (en) * | 2015-01-08 | 2015-05-27 | 深圳华大基因科技服务有限公司 | Proton-based transcriptome sequencing data comparison and analysis method and system |
| CN105787284A (en) * | 2016-03-29 | 2016-07-20 | 中国海洋大学 | Long-time-series mesoscale eddy tracing method based on hybrid algorithm |
-
2016
- 2016-08-24 CN CN201610714008.3A patent/CN107784250A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2007100865A2 (en) * | 2006-02-28 | 2007-09-07 | The Boeing Company | Arbitrarily shaped deployable mesh reflectors |
| CN104035138A (en) * | 2014-04-25 | 2014-09-10 | 西安测绘研究所 | Accurate and rapid calculation method for global and local ocean disturbing gravity |
| CN104657628A (en) * | 2015-01-08 | 2015-05-27 | 深圳华大基因科技服务有限公司 | Proton-based transcriptome sequencing data comparison and analysis method and system |
| CN105787284A (en) * | 2016-03-29 | 2016-07-20 | 中国海洋大学 | Long-time-series mesoscale eddy tracing method based on hybrid algorithm |
Non-Patent Citations (2)
| Title |
|---|
| PETER G. CHALLENOR,ETC.: ""Use of the 3D Radon Transform to Examine the Properties of Oceanic", 《JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY》 * |
| 袓永灿: ""北太平洋中尺度涡统计分析"", 《中国优秀硕士学位论文全文数据库 基础科学辑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113507280A (en) * | 2021-06-22 | 2021-10-15 | 中国海洋大学 | Ocean first mode Rosbee wave signal separation and extraction method |
| CN113507280B (en) * | 2021-06-22 | 2022-06-07 | 中国海洋大学 | Ocean first mode Rosbee wave signal separation and extraction method |
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Application publication date: 20180309 |