CN117390509A - Sea surface atmosphere stability determination method, device, equipment and medium - Google Patents
Sea surface atmosphere stability determination method, device, equipment and medium Download PDFInfo
- Publication number
- CN117390509A CN117390509A CN202311320934.9A CN202311320934A CN117390509A CN 117390509 A CN117390509 A CN 117390509A CN 202311320934 A CN202311320934 A CN 202311320934A CN 117390509 A CN117390509 A CN 117390509A
- Authority
- CN
- China
- Prior art keywords
- atmospheric
- sea surface
- temperature
- data
- wind speed
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 34
- 239000013535 sea water Substances 0.000 claims abstract description 70
- 238000003908 quality control method Methods 0.000 claims abstract description 18
- 238000004891 communication Methods 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 13
- 230000007935 neutral effect Effects 0.000 claims description 13
- 230000008859 change Effects 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 9
- 230000001133 acceleration Effects 0.000 claims description 3
- 230000005484 gravity Effects 0.000 claims description 3
- 241001292396 Cirrhitidae Species 0.000 claims 1
- 230000008901 benefit Effects 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 11
- 230000002500 effect on skin Effects 0.000 description 10
- 238000004590 computer program Methods 0.000 description 6
- 238000007689 inspection Methods 0.000 description 6
- 238000013461 design Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000003068 static effect Effects 0.000 description 3
- 238000012937 correction Methods 0.000 description 2
- 230000001419 dependent effect Effects 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 239000002344 surface layer Substances 0.000 description 2
- 239000000809 air pollutant Substances 0.000 description 1
- 231100001243 air pollutant Toxicity 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000010410 layer Substances 0.000 description 1
- 230000037361 pathway Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/10—Pre-processing; Data cleansing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Environmental & Geological Engineering (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Atmospheric Sciences (AREA)
- Ecology (AREA)
- Biodiversity & Conservation Biology (AREA)
- Environmental Sciences (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
The invention discloses a method, a device, equipment and a medium for determining sea surface atmospheric stability, relates to the technical field of atmospheric environment, and aims to solve the problems of more observation elements and low accuracy of the traditional sea surface atmospheric stability determining method. The method comprises the following steps: obtaining observation data at a preset height on the sea surface and the temperature of the sea water; the observation data comprises a plurality of groups of wind speed observation data, wind direction observation data and atmospheric temperature observation data; performing quality control on multiple groups of observation data to obtain wind speed data and atmospheric temperature data meeting preset conditions; correcting the sea water temperature based on wind speed data to obtain sea surface temperature; calculating an overall Lechadson number representing the atmospheric stability according to the sea surface temperature, the wind speed data meeting the preset conditions, the atmospheric temperature data and the preset height; sea surface atmospheric stability class is determined based on the overall richardson number. The sea surface atmospheric stability determining method provided by the invention has the advantages of less observation data and high accuracy of sea surface atmospheric stability determination.
Description
Technical Field
The invention relates to the technical field of atmospheric environment, in particular to a method, a device, equipment and a medium for determining sea surface atmospheric stability.
Background
The atmospheric stability refers to the tendency and degree of returning or separating from the equilibrium position of the near-stratum air block in the vertical direction after the air block is disturbed, and is a representation of the condition of atmospheric turbulence, so that the knowledge of the atmospheric stability is an important means for indirectly knowing the condition of atmospheric turbulence. Is one of important factors to be considered in air pollutant diffusion, offshore wind turbine hub design and offshore wind power evaluation.
The traditional method needs to observe parameters such as three-dimensional wind speed, air pressure, sea temperature, humidity, solar amplitude illumination and the like to determine the atmospheric stability, more data need to be observed, and for the atmospheric stability on the sea surface, the cold skin effect and the warm skin effect exist on the sea surface, the cold skin effect can lead to the temperature of the sea surface layer to be lower than the sea water temperature with the depth of a plurality of centimeters to a plurality of meters below the sea surface, and the warm skin effect can lead to the temperature of the sea surface layer to be higher than the sea water temperature below the sea surface, so that the measured sea surface temperature is inaccurate, the overall Lechadson number calculation is inaccurate, and the determination of the sea atmospheric stability class is inaccurate.
Disclosure of Invention
The invention aims to provide a sea surface atmospheric stability determining method, device, equipment and medium, which can determine the atmospheric stability by observing sea temperature, two-dimensional wind speed and air temperature, have less observation data, and can improve the accuracy of integral Lechadson number calculation by correcting sea surface temperature, thereby improving the accuracy of sea surface atmospheric stability determination.
In order to achieve the above object, the present invention provides the following technical solutions:
in a first aspect, the present invention provides a method for determining the stability of the atmosphere at the sea surface, comprising:
obtaining observation data at a preset height on the sea surface and the temperature of the sea water; the observation data comprises a plurality of groups of wind speed observation data, wind direction observation data and atmospheric temperature observation data;
performing quality control on a plurality of groups of observation data to obtain wind speed data and atmospheric temperature data meeting preset conditions;
correcting the sea water temperature based on the wind speed data to obtain sea surface temperature;
calculating an overall Lechadson number representing the atmospheric stability according to the sea surface temperature, the wind speed data meeting the preset conditions, the atmospheric temperature data and the preset height;
and determining the sea surface atmospheric stability category based on the overall Lechadson number.
Compared with the prior art, the sea surface atmospheric stability determining method provided by the invention comprises the following steps: obtaining observation data at a preset height on the sea surface and the temperature of the sea water; performing quality control on multiple groups of observation data to obtain wind speed data and atmospheric temperature data meeting preset conditions; correcting the sea water temperature based on the wind speed data to obtain sea surface temperature; calculating an overall Lechadson number representing the atmospheric stability according to the sea surface temperature, the wind speed data meeting the preset conditions, the atmospheric temperature data and the preset height; sea surface atmospheric stability class is determined based on the overall richardson number. The invention considers the cold skin effect and warm skin effect of the sea water temperature, corrects the sea water temperature, and can improve the accuracy of the sea surface temperature, thereby improving the accuracy of the calculated integral Lechadson number and further improving the accuracy of determining the atmospheric stability. And the atmospheric stability type can be determined by only using the observational quantity such as wind speed, wind direction and temperature, and the like, so that the observational quantity is less, the form is simple, and the application is convenient.
In a second aspect, the present invention provides a sea surface atmospheric stability determination device comprising:
the sea water temperature acquisition module is used for acquiring the sea water temperature and the observed data at the preset height on the sea surface; the observation data comprises a plurality of groups of wind speed observation data, wind direction observation data and atmospheric temperature observation data;
the quality control module is used for performing quality control on a plurality of groups of observed data to obtain wind speed data and atmospheric temperature data meeting preset conditions;
the sea water temperature correcting module is used for correcting the sea water temperature based on the wind speed data to obtain sea surface temperature;
the integral Lechadson number calculation module is used for calculating the integral Lechadson number representing the atmospheric stability according to the sea surface temperature, the wind speed data meeting the preset conditions, the atmospheric temperature data and the preset height;
the sea surface atmospheric stability category determining module is used for determining the sea surface atmospheric stability category based on the integral Lechadson number.
In a third aspect, the present invention provides a sea surface atmospheric stability determination apparatus comprising:
the communication unit/communication interface is used for acquiring observation data at a preset height on the sea surface and the temperature of the sea water; the observation data comprises a plurality of groups of wind speed observation data, wind direction observation data and atmospheric temperature observation data;
the processing unit/processor is used for performing quality control on a plurality of groups of observed data to obtain wind speed data and atmospheric temperature data meeting preset conditions;
correcting the sea water temperature based on the wind speed data to obtain sea surface temperature;
calculating an overall Lechadson number representing the atmospheric stability according to the sea surface temperature, the wind speed data meeting the preset conditions, the atmospheric temperature data and the preset height;
and determining the sea surface atmospheric stability category based on the overall Lechadson number.
In a fourth aspect, the present invention provides a computer readable storage medium, wherein instructions are stored in the computer readable storage medium, and when the instructions are executed, the above sea surface atmospheric stability determination method is implemented.
Technical effects achieved by the apparatus class scheme provided in the second aspect, the device class scheme provided in the third aspect, and the computer-readable storage medium scheme provided in the fourth aspect are the same as those achieved by the method class scheme provided in the first aspect, and are not described herein.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
FIG. 1 is a flow chart of a method for determining the stability of sea surface atmosphere;
FIG. 2 is a flowchart of an implementation of the method for determining the stability of the sea surface atmosphere according to the present invention;
FIG. 3 is a schematic diagram of a device for determining the stability of the sea surface atmosphere according to the present invention;
fig. 4 is a schematic structural diagram of a sea surface atmospheric stability determining device provided by the invention.
Detailed Description
In order to clearly describe the technical solution of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", etc. are used to distinguish the same item or similar items having substantially the same function and effect. For example, the first threshold and the second threshold are merely for distinguishing between different thresholds, and are not limited in order. It will be appreciated by those of skill in the art that the words "first," "second," and the like do not limit the amount and order of execution, and that the words "first," "second," and the like do not necessarily differ.
In the present invention, the words "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In the present invention, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, a and b, a and c, b and c, or a, b and c, wherein a, b, c can be single or multiple.
Before describing the embodiments of the present invention, the following definitions are first given for the relative terms involved in the embodiments of the present invention:
the overall Lechadson number, the dimensionless number representing the ratio of buoyancy term to flow shear term, is a measure of stability. In the atmospheric domain, it is defined as the ratio of the atmospheric static stability to the vertical wind shear. The method considers the thermodynamic property of the atmosphere and the influence of wind shear, and is an approximate criterion for judging the stability of the atmosphere. It is used in the classification of the atmospheric stability of the atmospheric boundary layer of the sea surface.
The traditional method for determining the atmospheric stability by adopting the integral Lechadson number is inaccurate in calculation due to inaccurate sea surface temperature observation data due to the influence of cold skin and warm skin effects, so that the deviation of the accuracy in determining the atmospheric stability of the sea surface is large.
In order to solve the problems, the invention provides a method, a device, equipment and a medium for determining the stability of sea surface atmosphere, which are used for correcting the sea water temperature by considering the cold skin and warm skin effects of sea surface temperature, improving the calculation accuracy of the integral Lechadson number, realizing the classification of different atmosphere stability, and only needing to utilize the observed quantity of wind speed, wind direction and temperature, and having few observed quantity, simple form and convenient application, and are described with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for determining the stability of the sea surface atmosphere, as shown in fig. 1, where the method includes:
step 101: obtaining observation data at a preset height on the sea surface and the temperature of the sea water;
the observation data comprises a plurality of groups of wind speed observation data, wind direction observation data and atmospheric temperature observation data; the wind speed observation data and the wind direction observation data are obtained from a wind speed sensor and a wind direction sensor in the anemometer tower.
Step 102: performing quality control on a plurality of groups of observation data to obtain wind speed data and atmospheric temperature data meeting preset conditions;
the quality control can refer to recommended reference values in the national standard wind power plant wind energy resource assessment method, observation data are required to be checked from three aspects of reasonable parameter range, change trend and correlation, and wind speed data and atmospheric temperature data which are in accordance with the three parameter ranges are screened.
Step 103: correcting the sea water temperature based on the wind speed data to obtain sea surface temperature;
the seawater temperature is obtained from an underwater seawater temperature observation device.
Specifically, firstly, calculating a difference delta T between the sea surface temperature and the sea water temperature according to the screened wind speed data and by adopting a formula (1);
wherein u is wind speed data at a preset height;
then adding the difference to the sea water temperature to obtain the sea surface temperature T s As shown in formula (2):
T s ＝ΔT+T depth (2)
wherein T is depth Is the temperature of the sea water.
Step 104: calculating an overall Lechadson number representing the atmospheric stability according to the sea surface temperature, the wind speed data meeting the preset conditions, the atmospheric temperature data and the preset height;
the overall Lechadson number calculation formula is shown in formula (3):
wherein R is B G is gravity acceleration, z is preset height, T is the integral Lechadson number a To the atmospheric temperature at a preset height, T s For sea surface temperature, u is wind speed data at a preset altitude.
Step 105: and determining the sea surface atmospheric stability category based on the overall Lechadson number.
Atmospheric stability is classified into an unstable atmospheric state, a neutral atmospheric state, and a stable atmospheric state. An alarm device can be set, and whether to alarm is determined according to the determined sea surface atmospheric stability class after the sea surface atmospheric stability is determined; and if the sea surface atmospheric stability is in an unstable atmospheric state or a neutral atmospheric state, alarming, wherein the alarm emergency degree is higher when the atmospheric stability is in the unstable atmospheric state than when the atmospheric stability is in the neutral atmospheric state.
The invention considers the cold skin effect and warm skin effect of the sea water temperature, corrects the sea water temperature, and can improve the accuracy of the sea surface temperature, thereby improving the accuracy of the calculated integral Lechadson number and further improving the accuracy of determining the atmospheric stability. And only the observables such as wind speed, wind direction, temperature and the like are needed, the observables are few, the form is simple, and the application is convenient.
Referring to fig. 2, the invention is described in detail by using the observed data measured when the preset height is 10m, as shown in fig. 2, firstly, 10m high observed data is obtained by observing at 10m high position of sea surface, meanwhile, sea water temperature observed data is obtained, then, data analysis is carried out on the 10m high observed data, and quality control is carried out on the observed data by adopting range inspection, correlation inspection and trend inspection, so as to obtain the required wind speed and atmospheric temperature. Analyzing the seawater temperature observation data, checking the seawater temperature observation data in the seawater temperature data range to obtain the required seawater temperature, and correcting the seawater surface temperature based on the seawater temperature to obtain the seawater surface temperature; and carrying out overall Lechadson number calculation based on the wind speed, the atmospheric temperature and the corrected sea surface temperature, and then carrying out atmospheric stability classification determination according to an atmospheric stability classification standard, wherein the atmospheric stability is classified into an unstable atmospheric state, a neutral atmospheric state and a stable atmospheric state.
The method comprises the steps of obtaining 10m high observation data, namely obtaining a plurality of groups of 10-minute wind speed observation data and wind direction observation data from a wind tower wind speed sensor and a wind direction sensor, and simultaneously obtaining a plurality of groups of 10m high atmospheric temperature observation data, wherein each group of wind speed observation data, wind direction observation data and atmospheric temperature observation data are all measured in the same time range. It will be appreciated that the steady state wind speed is typically averaged over 10 minutes to obtain a steady state wind speed observation.
The range check is to select a first group of observation data of which the average wind speed, the wind direction and the atmospheric temperature meet the conditions according to the average wind speed preset range, the wind direction preset range and the atmospheric temperature preset range;
specifically, the reasonable ranges of the main parameters of the range check are shown in table 1:
TABLE 1 Range inspection Main parameter rational Range Table
| Main parameters | Reasonable range |
| Average wind speed | Average value of 0-40 m/s |
| Wind direction | The average value of 0 DEG is less than or equal to 360 DEG |
| Atmospheric temperature | Average value of 0 degree is less than or equal to 10m and less than 360 degrees |
The correlation check is to select a second group of observation data with the average wind speed difference value and the wind direction difference value meeting the conditions from the first group of observation data;
specifically, the reasonable range of main parameters of the correlation check is shown in table 2:
TABLE 2 Main parameter reasonable Range Table for correlation check
The trend inspection is to select target group observation data with the average wind speed change trend and the average temperature change trend meeting the conditions from the second group observation data, and obtain wind speed data and atmospheric temperature data meeting preset conditions.
Specifically, the main reference reasonable variation trend reference values for trend checking are shown in table 3:
TABLE 3 Main parameter rational change trend reference table for trend examination
| Main parameters | Trend of reasonable change |
| 1h mean wind speed variation | ＜6m/s |
| Average temperature change for 1h | ＜5℃ |
It can be understood that the climate conditions and wind conditions of each place vary greatly, the parameter ranges listed in the three tables are used for reference in inspection, and when the data exceeds the range, the data are analyzed and judged according to the characteristics of the local wind conditions.
The seawater temperature observation data in the flow are seawater temperatures measured by underwater seawater temperature observation equipment, and the seawater temperature data range is checked by selecting the seawater temperature in the range of more than or equal to-2.5 ℃ and less than 40 ℃.
Sea surfaceTemperature correction: considering the effect of the "cold skin" and "warm skin" effects, first, u=u 10 Substituting the formula (1) to calculate the difference between the sea surface temperature and the sea water temperature, and correcting the sea water temperature by adopting the formula (2) to obtain the sea surface temperature. Wherein U is 10 Is wind speed data at 10m altitude.
Overall haldson number calculation: substituting the corrected sea surface temperature, the wind speed data and the atmospheric temperature data which meet the preset conditions at the high positions of z=10m and 10m into the formula (3) to obtain the corresponding integral Lechardson number.
The atmospheric stability classification criteria are shown in table 4:
TABLE 4 atmospheric stability Classification criteria Table
| Atmospheric stability class | Whole rational Charles number (R) B ) |
| Unstable state | R B <-0.02 |
| Neutral | -0.02≤R B ≤0.02 |
| Stabilization | 0.02<R B |
Thus, sea surface atmospheric stability classification based on the overall rational chardson number specifically includes:
determining the category of sea surface atmospheric stability with the overall Lechadson number less than-0.02 as unstable;
the class of sea surface atmospheric stability with the overall Lechadson number being more than or equal to-0.02 and less than or equal to 0.02 is determined as neutral;
the class of sea surface atmospheric stability with an overall haldson number greater than 0.02 is determined to be stable.
The embodiment of the invention can divide the functional modules according to the method example, for example, each functional module can be divided corresponding to each function, or two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment of the present invention, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation.
Fig. 3 shows a schematic structure of a sea surface atmospheric stability determining apparatus provided by the present invention in the case of dividing each functional module by corresponding each function. As shown in fig. 3, the apparatus includes:
the observation data and sea water temperature acquisition module 301 is configured to acquire observation data and sea water temperature at a preset height on the sea surface; the observation data comprises a plurality of groups of wind speed observation data, wind direction observation data and atmospheric temperature observation data;
the quality control module 302 is configured to perform quality control on a plurality of groups of the observation data, so as to obtain wind speed data and atmospheric temperature data that satisfy a preset condition;
the sea water temperature correcting module 303 is configured to correct the sea water temperature based on the wind speed data to obtain a sea surface temperature;
the overall Lechadson number calculation module 304 is configured to calculate an overall Lechadson number representing the atmospheric stability according to the sea surface temperature, the wind speed data satisfying the preset condition, the atmospheric temperature data, and the preset altitude;
a sea surface atmospheric stability class determination module 305 for determining a sea surface atmospheric stability class based on the overall richardson number.
Alternatively, the seawater temperature correction module 303 may include:
the difference value calculating unit is used for calculating a difference value delta T between the sea surface temperature and the sea water temperature according to the wind speed data and by adopting the following formula;
wherein u is wind speed data at a preset height;
and the sea surface temperature calculation unit is used for adding the difference value and the sea water temperature to obtain the sea surface temperature.
Optionally, the quality control module 302 may include:
the first group of observation data determining unit is used for selecting a first group of observation data with the average wind speed, the wind direction and the atmospheric temperature meeting the conditions according to the average wind speed preset range, the wind direction preset range and the atmospheric temperature preset range;
a second group of observation data determining unit, configured to select, from the first group of observation data, a second group of observation data in which both the average wind speed difference value and the wind direction difference value meet the conditions;
and the target group observation data determining unit is used for selecting target group observation data with the average wind speed change trend and the average temperature change trend meeting the conditions from the second group of observation data to obtain wind speed data and atmospheric temperature data meeting preset conditions.
Optionally, the sea surface atmospheric stability category determination module 305 may include:
an unstable atmosphere state determining unit configured to determine a class of sea surface atmosphere stability of which the overall richardson number is less than-0.02 as unstable;
a neutral atmosphere state determination unit configured to determine a class of sea surface atmosphere stability of the entire richardson number of-0.02 or more and less than 0.02 as neutral;
and the stable atmosphere state determining unit is used for determining the category of sea surface atmosphere stability of which the overall Lechadson number is greater than 0.02 as stability.
Optionally, the device further comprises a seawater temperature screening module, wherein the seawater temperature screening module is used for analyzing the seawater temperature measured by the underwater seawater temperature observation equipment and selecting the seawater temperature in the range of more than or equal to-2.5 ℃ and less than 40 ℃.
Optionally, the calculation formula of the overall haldson number is as follows:
wherein R is B G is gravity acceleration, z is preset height, T is the integral Lechadson number a To the atmospheric temperature at a preset height, T s For sea surface temperature, u is wind speed data at a preset altitude.
Optionally, the device further comprises an alarm module, which is used for determining whether to alarm according to the determined sea surface atmospheric stability category;
and if the sea surface atmospheric stability is unstable or neutral, alarming, wherein the alarm emergency degree is higher when the atmospheric stability is unstable than when the atmospheric stability is neutral.
The scheme provided by the embodiment of the invention is mainly introduced from the interaction point of the modules. It is to be understood that, in order to achieve the above-described functions, they comprise corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
Fig. 4 shows a block diagram of a sea surface atmosphere stability determination device provided by the present invention, with corresponding integrated units. As shown in fig. 4, the apparatus includes:
the communication unit/communication interface is used for acquiring observation data at a preset height on the sea surface and the temperature of the sea water; the observation data comprise multi-wind speed observation data, wind direction observation data and atmospheric temperature observation data;
the processing unit/processor is used for performing quality control on a plurality of groups of observed data to obtain wind speed data and atmospheric temperature data meeting preset conditions;
correcting the sea water temperature based on the wind speed data to obtain sea surface temperature;
calculating an overall Lechadson number representing the atmospheric stability according to the sea surface temperature, the wind speed data meeting the preset conditions, the atmospheric temperature data and the preset height;
and determining the sea surface atmospheric stability category based on the overall Lechadson number.
The processing module may be a processor or a controller, such as a central processing unit (Central Processing Unit, CPU), a general purpose processor, a digital signal processor (Digital Signal Processor, DSP), an Application-specific integrated circuit (ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. The processor may also be a combination that performs the function of a computation, e.g., a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, and the like. The communication module may be a transceiver, a transceiver circuit, a communication interface, or the like. The memory module may be a memory.
As shown in FIG. 4, the processor may be a general purpose central processing unit (central processing unit, CPU), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of the program of the present invention. The communication interface may be one or more. The communication interface may use any transceiver-like device for communicating with other devices or communication networks.
As shown in fig. 4, the terminal device may further include a communication line. The communication line may include a pathway to communicate information between the aforementioned components.
Optionally, as shown in fig. 4, the terminal device may further include a memory. The memory is used for storing computer-executable instructions for executing the scheme of the invention, and the processor is used for controlling the execution. The processor is configured to execute computer-executable instructions stored in the memory, thereby implementing the method provided by the embodiment of the invention.
As shown in fig. 4, the memory may be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (electrically erasable programmable read-only memory, EEPROM), a compact disc read-only memory (compact disc read-only memory) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, without limitation. The memory may be stand alone and be coupled to the processor via a communication line. The memory may also be integrated with the processor.
Alternatively, the computer-executable instructions in the embodiments of the present invention may be referred to as application program codes, which are not particularly limited in the embodiments of the present invention.
In a specific implementation, as one embodiment, as shown in FIG. 4, the processor may include one or more CPUs, such as CPU0 and CPU1 in FIG. 4.
In a specific implementation, as an embodiment, as shown in fig. 4, the terminal device may include a plurality of processors, such as the processors in fig. 4. Each of these processors may be a single-core processor or a multi-core processor.
In one aspect, a computer readable storage medium is provided, in which instructions are stored, which when executed, implement a sea surface atmospheric stability determination method as described above.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present invention are performed in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, a terminal, a user equipment, or other programmable apparatus. The computer program or instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer program or instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired or wireless means. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that integrates one or more available media. The usable medium may be a magnetic medium, e.g., floppy disk, hard disk, tape; optical media, such as digital video discs (digital video disc, DVD); but also semiconductor media such as solid state disks (solid state drive, SSD).
Although the invention is described herein in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed invention, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
Although the invention has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the invention. Accordingly, the specification and drawings are merely exemplary illustrations of the present invention as defined in the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the invention. It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. A method for determining the atmospheric stability of a sea surface, comprising:
obtaining observation data at a preset height on the sea surface and the temperature of the sea water; the observation data comprises a plurality of groups of wind speed observation data, wind direction observation data and atmospheric temperature observation data;
performing quality control on a plurality of groups of observation data to obtain wind speed data and atmospheric temperature data meeting preset conditions;
correcting the sea water temperature based on the wind speed data to obtain sea surface temperature;
calculating an overall Lechadson number representing the atmospheric stability according to the sea surface temperature, the wind speed data meeting the preset conditions, the atmospheric temperature data and the preset height;
and determining the sea surface atmospheric stability category based on the overall Lechadson number.
2. The method of determining the atmospheric stability of the sea surface according to claim 1, wherein correcting the sea water temperature based on the wind speed data to obtain the sea surface temperature comprises:
calculating a difference delta T between the sea surface temperature and the sea water temperature according to the wind speed data and by adopting the following formula;
wherein u is wind speed data at a preset height;
and adding the difference value with the sea water temperature to obtain the sea surface temperature.
3. The method for determining the atmospheric stability of the sea surface according to claim 1, wherein the quality control of the plurality of sets of observed data to obtain the wind speed data and the atmospheric temperature data satisfying the preset condition comprises:
selecting a first group of observation data of which the average wind speed, the wind direction and the atmospheric temperature meet the conditions according to the average wind speed preset range, the wind direction preset range and the atmospheric temperature preset range;
selecting a second group of observation data with average wind speed difference values and wind direction difference values meeting the conditions from the first group of observation data;
and selecting target group observation data with the average wind speed change trend and the average temperature change trend meeting the conditions from the second group of observation data, and obtaining wind speed data and atmospheric temperature data meeting preset conditions.
4. The method of determining sea surface atmospheric stability according to claim 1, wherein the determining a sea surface atmospheric stability class based on the overall haldson number comprises:
determining the class of sea surface atmospheric stability of the overall halcone number less than-0.02 as an unstable atmospheric state;
determining the class of sea surface atmospheric stability of which the overall haldhand number is more than or equal to-0.02 and less than or equal to 0.02 as a neutral atmospheric state;
the class of sea surface atmospheric stability for which the overall halchardson number is greater than 0.02 is determined to be a stable atmospheric state.
5. The method for determining the atmospheric stability of the sea surface according to claim 1, wherein the acquiring the observed data at the preset altitude on the sea surface and the sea water temperature further comprises:
analyzing the sea water temperature measured by the underwater sea water temperature observation equipment, and selecting the sea water temperature in the range of more than or equal to-2.5 ℃ and less than 40 ℃.
6. The method for determining the stability of the sea surface atmosphere according to claim 1, wherein the calculation formula of the overall richardson number is:
wherein R is B G is gravity acceleration, z is preset height, T is the integral Lechadson number a To the atmospheric temperature at a preset height, T s For sea surface temperature, u is wind speed data at a preset altitude.
7. The method of determining sea surface atmospheric stability according to claim 4, wherein said determining a sea surface atmospheric stability class based on said overall haldson number further comprises:
determining whether to alarm according to the determined sea surface atmospheric stability category;
and if the sea surface atmospheric stability is in an unstable atmospheric state or a neutral atmospheric state, alarming, wherein the alarm emergency degree is higher when the atmospheric stability is in the unstable atmospheric state than when the atmospheric stability is in the neutral atmospheric state.
8. A sea surface atmospheric stability determining apparatus, comprising:
the sea water temperature acquisition module is used for acquiring the sea water temperature and the observed data at the preset height on the sea surface; the observation data comprises a plurality of groups of wind speed observation data, wind direction observation data and atmospheric temperature observation data;
the quality control module is used for performing quality control on a plurality of groups of observed data to obtain wind speed data and atmospheric temperature data meeting preset conditions;
the sea water temperature correcting module is used for correcting the sea water temperature based on the wind speed data to obtain sea surface temperature;
the integral Lechadson number calculation module is used for calculating the integral Lechadson number representing the atmospheric stability according to the sea surface temperature, the wind speed data meeting the preset conditions, the atmospheric temperature data and the preset height;
the sea surface atmospheric stability category determining module is used for determining the sea surface atmospheric stability category based on the integral Lechadson number.
9. A sea surface atmospheric stability determination apparatus, comprising:
the communication unit/communication interface is used for acquiring observation data at a preset height on the sea surface and the temperature of the sea water; the observation data comprise multi-wind speed observation data, wind direction observation data and atmospheric temperature observation data;
the processing unit/processor is used for performing quality control on a plurality of groups of observed data to obtain wind speed data and atmospheric temperature data meeting preset conditions;
correcting the sea water temperature based on the wind speed data to obtain sea surface temperature;
calculating an overall Lechadson number representing the atmospheric stability according to the sea surface temperature, the wind speed data meeting the preset conditions, the atmospheric temperature data and the preset height;
and determining the sea surface atmospheric stability category based on the overall Lechadson number.
10. A computer readable storage medium having instructions stored therein which, when executed, implement the sea surface atmospheric stability determination method of any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311320934.9A CN117390509A (en) | 2023-10-12 | 2023-10-12 | Sea surface atmosphere stability determination method, device, equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311320934.9A CN117390509A (en) | 2023-10-12 | 2023-10-12 | Sea surface atmosphere stability determination method, device, equipment and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117390509A true CN117390509A (en) | 2024-01-12 |
Family
ID=89471300
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311320934.9A Pending CN117390509A (en) | 2023-10-12 | 2023-10-12 | Sea surface atmosphere stability determination method, device, equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117390509A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109961207A (en) * | 2017-12-26 | 2019-07-02 | 北京金风科创风电设备有限公司 | Method and device for determining wind resources |
| KR20200059085A (en) * | 2018-11-20 | 2020-05-28 | 서울대학교산학협력단 | A Method for Sea Surface Temperature Retrieval using Surface Drifter Temperature Data and Satellite Infrared Images |
| CN114491386A (en) * | 2022-02-21 | 2022-05-13 | 国家海洋环境预报中心 | Sea wave effective wave height correction method based on sea gas temperature difference |
| CN114674461A (en) * | 2022-05-27 | 2022-06-28 | 自然资源部第二海洋研究所 | Method and device for determining sea surface temperature and readable storage medium |
| CN114942076A (en) * | 2022-07-25 | 2022-08-26 | 国家卫星海洋应用中心 | Sea surface temperature correction method and device |
| CN115146563A (en) * | 2022-07-14 | 2022-10-04 | 华能新能源股份有限公司 | Atmospheric stability parameter generation method based on mesoscale meteorological elements |
| US20230194751A1 (en) * | 2019-06-25 | 2023-06-22 | Grains Research And Development Corporation | Turbulence monitoring and forecasting systems and methods |
| JP7296599B1 (en) * | 2022-11-11 | 2023-06-23 | ジャパン・リニューアブル・エナジー株式会社 | Wind forecast system and wind forecast method |
-
2023
- 2023-10-12 CN CN202311320934.9A patent/CN117390509A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109961207A (en) * | 2017-12-26 | 2019-07-02 | 北京金风科创风电设备有限公司 | Method and device for determining wind resources |
| KR20200059085A (en) * | 2018-11-20 | 2020-05-28 | 서울대학교산학협력단 | A Method for Sea Surface Temperature Retrieval using Surface Drifter Temperature Data and Satellite Infrared Images |
| US20230194751A1 (en) * | 2019-06-25 | 2023-06-22 | Grains Research And Development Corporation | Turbulence monitoring and forecasting systems and methods |
| CN114491386A (en) * | 2022-02-21 | 2022-05-13 | 国家海洋环境预报中心 | Sea wave effective wave height correction method based on sea gas temperature difference |
| CN114674461A (en) * | 2022-05-27 | 2022-06-28 | 自然资源部第二海洋研究所 | Method and device for determining sea surface temperature and readable storage medium |
| CN115146563A (en) * | 2022-07-14 | 2022-10-04 | 华能新能源股份有限公司 | Atmospheric stability parameter generation method based on mesoscale meteorological elements |
| CN114942076A (en) * | 2022-07-25 | 2022-08-26 | 国家卫星海洋应用中心 | Sea surface temperature correction method and device |
| JP7296599B1 (en) * | 2022-11-11 | 2023-06-23 | ジャパン・リニューアブル・エナジー株式会社 | Wind forecast system and wind forecast method |
Non-Patent Citations (5)
| Title |
|---|
| "Cool skin effect and warm skin phenomenon observed by shipboard radiometer in the Northwest Pacific", FRONTIER IN MARINE SCIENCE, 26 July 2023 (2023-07-26), pages 1 - 11 * |
| C. J. DONLON: "Toward Improved Validation of Satellite Sea Surface Skin Temperature Measurements for Climate Research", JOURNAL OF CLIMATE, 15 February 2002 (2002-02-15), pages 353 - 369 * |
| PETER J. MINNETT: "Measurements of the oceanic thermal skin effect", DEEP-SEA RESEARCH II, 13 October 2010 (2010-10-13), pages 861, XP028177917, DOI: 10.1016/j.dsr2.2010.10.024 * |
| 李雨竹: "太湖表面温度与表层水温差异及其影响因素的观测分析", 湖泊科学, 6 September 2023 (2023-09-06), pages 1808 - 1821 * |
| 汪炳祥: "关于海面上大气稳定度的计算问题", 青岛海洋大学学报, 30 April 1992 (1992-04-30), pages 13 - 25 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109543356B (en) | Ocean internal temperature and salt structure remote sensing inversion method considering space non-stationarity | |
| JP6370525B1 (en) | Inundation prediction system, prediction method, program | |
| CN117196353B (en) | Environmental pollution assessment and monitoring method and system based on big data | |
| CN111369119A (en) | Method, device and readable storage medium for predicting water content of forest surface dead combustible | |
| CN114491386B (en) | Sea wave effective wave height correction method and device based on sea gas temperature difference, computer equipment and storage medium | |
| CN111400845B (en) | Power generation performance evaluation method and device of wind turbine generator | |
| Møller et al. | Comparing abnormalities in onshore and offshore vertical wind profiles | |
| DiNezio et al. | Direct evidence of a changing fall-rate bias in XBTs manufactured during 1986–2008 | |
| CN117390509A (en) | Sea surface atmosphere stability determination method, device, equipment and medium | |
| Dias et al. | The effect of temperature‐humidity similarity on Bowen ratios, dimensionless standard deviations, and mass transfer coefficients over a lake | |
| CN116704716A (en) | Laboratory constant temperature and humidity abnormality alarm method and device and computer equipment | |
| CN107577896A (en) | Equivalence method is polymerize based on the theoretical wind power plant multimachines of mixing Copula | |
| CN116432548A (en) | Fusion wind speed calculation method, device, equipment and medium based on transfer learning | |
| CN105069292B (en) | A kind of construction method of the temperature diurnal variation baseline of part Mountainous Regions | |
| KR20140105263A (en) | Apparatus and method for calculating ground surface roughness using ground height | |
| CN112879216B (en) | Wind speed correction method and device for wind power plant | |
| Pryor et al. | Analysis of the effect of the coastal discontinuity on near-surface flow | |
| CN117475606B (en) | Early warning method and system for wave climbing of semi-submersible platform under action of abnormal waves | |
| CN108983313B (en) | Method for quantitatively detecting sea surface wind field | |
| CN112700134A (en) | Method, system and equipment for wind measuring tower representativeness analysis | |
| CN116796517B (en) | Method, system, equipment and medium for calculating tidal volume of section of gulf mouth | |
| CN108563785B (en) | Data processing method and device and electronic equipment | |
| CN116046809B (en) | Mountain soil water information acquisition method and device, storage medium and electronic equipment | |
| CN113790822B (en) | Method and device for detecting abnormity of ground measured temperature data and readable storage medium | |
| Garberoglio | Sensitivity of boundary layer characteristics and related low-level jet behavior to planetary boundary layer schemes in the WRF for several MCS cases |
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 |