CN119270275B - A method for monitoring low-altitude atmospheric wind shear and turbulence based on wind profiler radar - Google Patents
A method for monitoring low-altitude atmospheric wind shear and turbulence based on wind profiler radar Download PDFInfo
- Publication number
- CN119270275B CN119270275B CN202411795533.3A CN202411795533A CN119270275B CN 119270275 B CN119270275 B CN 119270275B CN 202411795533 A CN202411795533 A CN 202411795533A CN 119270275 B CN119270275 B CN 119270275B
- Authority
- CN
- China
- Prior art keywords
- wind
- horizontal
- vertical
- atmospheric
- profile
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000012544 monitoring process Methods 0.000 title claims abstract description 16
- 238000001514 detection method Methods 0.000 claims abstract description 40
- 230000021715 photosynthesis, light harvesting Effects 0.000 claims abstract description 29
- 238000001228 spectrum Methods 0.000 claims abstract description 10
- 230000002194 synthesizing effect Effects 0.000 claims description 4
- 230000001133 acceleration Effects 0.000 claims description 3
- 230000005484 gravity Effects 0.000 claims description 3
- 241000287196 Asthenes Species 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 239000004744 fabric Substances 0.000 description 2
- 238000003786 synthesis reaction Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002354 daily effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- General Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention discloses a low-altitude atmospheric wind shear and turbulence monitoring method based on a wind profile radar. And calculating the vertical wind speed and horizontal wind speed profile by using radial speed data in a five-beam detection mode, obtaining wind shear indexes in the vertical and horizontal directions according to the vertical wind speed and horizontal wind speed profile, and calculating the atmospheric horizontal movement uniformity index by using four groups of horizontal wind speed standard deviations. Five sets of turbulent kinetic energy dissipation rate profiles are calculated and synthesized in combination with radial velocity spectrum width data and temperature profiles provided by other observation means such as microwave radiometers, sondes or satellites. The method can continuously monitor wind shear, horizontal motion uniformity and turbulence conditions in the low-altitude atmosphere under high space-time resolution, and provides powerful technical support for low-altitude flight safety.
Description
Technical Field
The invention relates to a low-altitude atmospheric wind shear and turbulence monitoring method based on a wind profile radar, and belongs to the field of atmospheric science.
Background
The low-altitude economy is a comprehensive economy form which is below 1000 m in vertical range and can extend to a low-altitude airspace range not exceeding 3000 m according to actual needs, mainly comprises civil manned or unmanned aircrafts, and adopts multi-scene low-altitude flight activities such as manned, cargo carrying and the like as traction and adopts radiation to drive the fusion development of the related fields.
The meteorological service guarantee is used as a part of a low-altitude economic service guarantee system, has very important function, and has important technical support function for planning a navigable airspace, designing a safe and reasonable route and coordinating and making a low-altitude airspace flight plan. Under a clear sky condition, the atmospheric motion factors influencing the flight safety mainly comprise wind shear and turbulence influence, the wind shear is divided into horizontal wind shear and vertical wind shear, the traditional method is difficult to accurately obtain the motion condition of the atmospheric motion in the horizontal direction and the vertical direction at the same time, and the non-uniformity of the atmospheric motion in the horizontal dimension and the vertical dimension is an important factor influencing the flight safety. The clear sky turbulence is a very complex and ubiquitous atmospheric movement phenomenon, and the strength and the change trend of the phenomenon have great influence on the flight safety.
Because the atmospheric wind shear and the turbulence of clear sky have great harm to flight safety, some existing methods based on sounding and wind shear calculation are limited by lower sounding station network density, only 3 sounding stations are used in Jiangsu province as an example, only 2-3 sounding stations are used in Jiangsu province every day, the space-time resolution is lower, and the requirements of users on high space-time resolution service are difficult to meet. The wind profile radar has very high space-time resolution, the time resolution is generally 6 minutes, the vertical height resolution is generally 50-60 m according to different radars, the site density is higher, and the current situation of using Jiangsu province as an example is that the wind profile radar is already deployed in 23 parts and forgets to continue to increase in the future. Therefore, the wind profile radar can be used for all-weather continuous detection, and the conditions of wind speed, wind direction, wind shear and turbulence above the measuring station can be observed in real time, so that the wind profile radar is an important tool for monitoring the atmospheric movement condition under the clear sky condition, and is helpful for providing a more effective low-altitude atmospheric condition monitoring and early warning means for related departments.
Disclosure of Invention
Aiming at the defects of sparse distribution and low space-time resolution of low-altitude atmosphere detection of the existing ground sounding station network, the invention provides a low-altitude atmosphere wind shear and turbulence monitoring method based on a wind profile radar, which solves the problems of insufficient wind shear and turbulence identification and early warning capability of low-altitude atmosphere movement when a low-altitude atmosphere monitoring means is absent.
In order to solve the technical problems, the method of the invention needs to use five-beam detection wind profile radar data, and the specific technical scheme of the invention is as follows:
A low-altitude atmospheric wind shear and turbulence monitoring method based on wind profile radar, comprising the steps of:
Step S1, based on radial speed data in a wind profile radar five-beam detection mode, obtaining a vertical wind profile by using a vertical detection beam, and respectively calculating to obtain a vertical wind shear index of a vertical wind speed in any given height interval in a vertical direction according to the obtained vertical wind profile;
S2, based on wind profile radar five-beam detection radial speed data, calculating to obtain four groups of horizontal wind profiles by using a three-beam horizontal wind inversion theory, and respectively calculating to obtain vertical wind shear indexes of any given height interval of the horizontal wind speed in the vertical direction according to the obtained horizontal wind profiles;
S3, calculating four groups of horizontal wind speeds obtained by calculation in the step S2, and calculating standard deviations and atmospheric horizontal movement uniformity indexes of the four groups of horizontal wind speeds;
S4, based on radial velocity spectrum width data detected by five beams, combining a microwave radiometer or a satellite observed temperature profile, calculating to obtain five groups of turbulence kinetic energy dissipation rate profiles, correcting according to the distance, and synthesizing;
And step S5, combining the steps S1-S4, and obtaining the vertical shear index of the horizontal wind and the vertical wind, the motion uniformity index of the horizontal dimension of the atmosphere and the continuous time-space variation trend of the kinetic energy dissipation rate of the turbulence of the atmosphere under the continuous high time-space resolution real-time observation mode of the wind profile radar.
As a preferred aspect of the present invention, the specific method of step S1 is as follows:
The wind profile radar transmits five beams to five directions in the northeast, the south and the northwest for detection according to a given sequence at one time, each beam detection is divided into 1-gatenum distance banks, gatenum are the number of the distance banks, the length of each distance bank is GL, and the included angle between each beam and the vertical direction is Five beam radial velocities for wind profile radar detection are defined asThen each range bin radial velocity in each beam is defined asWherein i= L, N, W, E, S represents a middle beam, a north beam, a west beam, an east beam, and a south beam, respectively, j=1, 2, 3.
For a medium beam, vertical velocityFor the other four beams, vertical velocityFor any given altitude interval H1 and H2, the vertical shear index of the vertical wind is defined as:
(1)
according to the formula (1), the vertical wind shear index profile of five groups of vertical wind can be obtained through calculation.
As a preferred aspect of the present invention, the specific method in step S2 is as follows:
the three-beam horizontal wind inversion method is adopted, the middle beam points to the zenith, and the radial speed is equal to the vertical speed, namely The two oblique beams are azimuthally 90 deg. apart, and the radial velocity is measuredAccording to the formula (2) and the formula (3), 2 horizontal wind components are derived from the combination of the two oblique beams and the middle beam、Four groups of horizontal wind speeds are calculatedHorizontal wind direction(i=1~4):
(2)
(3)
Likewise, the horizontal wind vertical shear index defining any given height interval H1 and H2 is:
(4)
According to the formula (4), the vertical wind shear index profile of four groups of horizontal winds is calculated.
As a preferred embodiment of the present invention, the specific method of step S3 is as follows:
For each distance library of the wind profile radar, four horizontal wind speeds are obtained by calculation in step S2 (i=1~4),
The set of horizontal velocity averages is:
(5)
Standard deviation of The method comprises the following steps:
(6)
also, an atmospheric horizontal dimension uniformity index is defined :
(7)
Wherein abs is the absolute function, max is the maximum function of four horizontal speeds of the distance library, and the maximum function is the uniformity index of the horizontal dimension of the atmosphereWhen the distance is 0, the isotropy of the horizontal dimension of the atmosphere in the distance library is shown, the uniformity of the horizontal movement of the atmosphere is strong, whenAbove 0, this indicates that the horizontal movement of the atmosphere is non-uniform, andThe larger the atmospheric horizontal movement, the stronger the inhomogeneity.
As a preferred embodiment of the present invention, the specific method of step S4 is to obtain the atmospheric temperature profile first, interpolate to the same high resolution as the profile radar, and obtain the temperature profileTurbulent dissipation ratioThe calculation formula is as follows:
(8)
Wherein C is a constant, N is a Bragg frequency, Radial velocity spectrum width for wind profile radar radial observation. The formula for calculating the cloth dimensional frequency is as follows:
(9)
wherein g is the acceleration of gravity, Is the temperature of the water at the temperature,Is a constant value, and is used for the treatment of the skin,Is a vertical gradient of the temperature and is characterized by,,AndGround temperature and air pressure;
radial velocity spectrum width of five beams detected by wind profile radar is combined with temperature profile to calculate five groups of turbulence kinetic energy dissipation rates A profile;
Five groups of turbulent kinetic energy dissipation rates are calculated Five sets of turbulent dissipation ratios were synthesized after the profile.
As a preferred embodiment of the invention, the specific method for combining five sets of turbulence dissipation ratios is that, in the same detection mode, for the nth range bin, vertical beam detectionIs higher than the height of (2)Tilt beam detectionIs higher than the height of (2)Distance correction is performed on the data, inclined beam data is corrected to the condition that vertical beam height interval is used as a standard, and turbulence energy dissipation rate is expressed by height instead of distance library for a middle beamFor other beams, corrected turbulent kinetic energy dissipation ratioThe method comprises the following steps:
(10)
Wherein the method comprises the steps of The interpolation for oblique beams is shown, with the interpolation criteria being vertical beam height spacing. The final resultant turbulent kinetic energy dissipation ratio profile is:
(11)
wherein i= L, W, E, S, N, std is standard deviation, In order to find the average function,The condition that the standard deviation is smaller than 3 times of the data is required to be met, otherwise, the abnormal value is eliminated.
The beneficial effects are that:
The method for calculating the low-altitude atmosphere correlation index and the turbulent kinetic energy dissipation rate has the main advantages that the method comprises the following 4 aspects:
1. The invention uses the wind profile radar radial speed data to detect the data in real time, has higher space-time resolution and accuracy, and can continuously observe in 24 hours without being attended;
2. according to the invention, the low-altitude wind shear is divided into the horizontal dimension and the vertical dimension for calculation, so that the defect of three-dimensional wind shear observation at present can be overcome, and the fine monitoring of the low-altitude wind shear is improved;
3. The invention provides a uniformity index of low-altitude atmosphere movement in a horizontal dimension, which improves the monitoring capability of the low-altitude atmosphere movement state;
4. The invention calculates the turbulence kinetic energy dissipation rate by using the radial velocity spectrum width, corrects and synthesizes the turbulence kinetic energy dissipation rate according to the distance, can monitor the turbulence motion condition of the low-altitude atmosphere, and provides a means for monitoring the atmospheric turbulence in real time for low-altitude flight users.
Drawings
FIG. 1 is a flow chart of a method for calculating the low-altitude atmospheric air index and the turbulence kinetic energy dissipation ratio according to the invention;
FIG. 2 is a schematic diagram of a five beam wind profile radar detection;
FIG. 3 is a flow chart of turbulent kinetic energy dissipation ratio synthesis.
Detailed Description
The invention will now be described in detail with reference to figures 1-3 and the examples.
Referring to fig. 1, the embodiment discloses a low-altitude atmospheric wind shear and turbulence monitoring method based on a wind profile radar, which mainly comprises the following steps:
Step S1, five groups of vertical wind speed profiles can be calculated and obtained based on the wind profile radar five-beam detection radial speed data, and vertical wind shear indexes of any given height interval of the vertical wind speed in the vertical direction can be calculated and obtained respectively according to the obtained vertical wind speed profiles. The specific calculation process is as follows:
As shown in fig. 1, the wind profile radar transmits five beams in five directions of the north and south of the east and west for detection in a predetermined sequence at a time, each beam detection is divided into 1 to about um distance bins (gatenum is the number of distance bins), and each distance bin has a length GL (GL is generally 50m to 60m in low-mode detection). Each beam has an included angle with the vertical direction of Five beam radial velocities for wind profile radar detection are defined asThen each range bin radial velocity in each beam is defined asWhere i= L, N, W, E, S represents a middle beam, a north beam, a west beam, an east beam, and a south beam, respectively, j=1, 2, 3.
For a medium beam, vertical velocityFor the other four beams, vertical velocityFor any given altitude interval H1 and H2, the vertical shear index of the vertical wind is defined as:
(1)
according to the formula (1), the vertical wind shear index profile of five groups of vertical wind can be obtained through calculation.
And S2, based on wind profile radar five-beam detection radial speed data, four groups of horizontal wind profiles can be calculated and obtained by using a three-beam horizontal wind inversion theory, and according to the obtained horizontal wind profiles, vertical wind shear indexes of any given height interval of the horizontal wind speed in the vertical direction are calculated and obtained respectively. The specific calculation process comprises the following steps:
when the three-beam horizontal wind inversion theory is adopted, the middle beam points to the zenith, and the radial velocity is equal to the vertical velocity, namely The two tilted beams (four groups of east and south, east and north, west and south) are azimuthally 90 deg. different, and the radial velocity is measuredFrom equation (2) and equation (3), 2 horizontal wind components can be derived from the combination of two oblique beams and a mid beam、Further, four groups of horizontal wind speeds are calculatedHorizontal wind direction(i=1~4):
, (2)
, (3)
Likewise, the horizontal wind vertical shear index defining any given height interval H1 and H2 is:
(4)
According to the formula (4), the vertical wind shear index profile of four groups of horizontal wind can be obtained through calculation.
And S3, calculating four groups of horizontal wind speed standard deviations on each distance base by using the four groups of horizontal wind speed profiles calculated in the step S2, and defining and calculating to obtain an atmospheric horizontal dimension uniformity index on the basis of the standard deviations, wherein the atmospheric horizontal dimension uniformity index is used for representing the non-uniformity condition of the atmospheric movement in the horizontal dimension in the detection range of the wind profile radar.
The specific calculation process comprises the following steps:
For each distance library of the wind profile radar, four horizontal wind speeds are obtained by calculation in step S2 (i=1~4),
The set of horizontal velocity averages is:
(5)
Standard deviation of The method comprises the following steps:
(6)
also, an atmospheric horizontal dimension uniformity index is defined :
(7)
Where abs is the absolute function and max is the maximum function of four horizontal speeds of the distance library. When the atmospheric horizontal dimension uniformity indexWhen the distance is 0, the isotropy of the horizontal dimension of the atmosphere in the distance library is shown, the uniformity of the horizontal movement of the atmosphere is strong, whenAbove 0, this indicates that the horizontal movement of the atmosphere is non-uniform, andThe larger the atmospheric horizontal movement, the stronger the inhomogeneity.
And S4, based on radial velocity spectrum width data detected by five beams, combining with other means of microwave radiometers and sounding (namely sounding balloons for observing the atmospheric temperature, pressure, humidity and wind conditions, which are applied daily at fixed time by national weather stations, and temperature profiles of the atmosphere from bottom to high-rise temperature, pressure, humidity and wind information) or satellite observation, calculating to obtain five groups of turbulence kinetic energy dissipation rate profiles, correcting and synthesizing according to the distance, and representing the turbulence motion intensity in the radar detection range of the wind profile. The specific calculation process comprises the following steps:
Firstly, obtaining an atmospheric temperature profile by other observation means (a microwave radiometer, sounding, a satellite, etc.), interpolating to the same high resolution as a profile radar, and obtaining a temperature profile . Turbulent dissipation ratioThe calculation formula is as follows:
(8)
Wherein C is a constant, N is a Bragg frequency, Radial velocity spectrum width for wind profile radar radial observation. The formula for calculating the cloth dimensional frequency is as follows:
(9)
wherein g is the acceleration of gravity, Is the temperature of the water at the temperature,Is a constant value, and is used for the treatment of the skin,Is a vertical gradient of the temperature and is characterized by,,AndThe ground temperature and the air pressure can be obtained by ground observation.
Therefore, the radial velocity spectrum width of five beams detected by using the wind profile radar can be calculated to obtain five groups of turbulence kinetic energy dissipation rates by combining the temperature profileA profile.
Five groups of turbulent kinetic energy dissipation rates are calculatedAfter the profile, five groups of turbulence dissipation rates are synthesized, and the characteristics of a wind profile radar detection mode are considered during synthesis, and as the beams in the wind profile radar are vertically detected, other four beams are observed at a certain zenith angleGenerally 14-15 °) for vertical beam detection for the nth range bin in the same detection modeIs higher than the height of (2)Tilt beam detectionIs higher than the height of (2)When the detection distance is relatively short, the detection device can detect the position of the object,AndThe error of the approximate equality is smaller, when the detection distance is longer,AndTo enlarge the errorFor example, when the angle is 15 °, the error at the height of 2000m reaches 70m, which exceeds the size of a distance library, and at this time, it is necessary to correct the distance when synthesizing the turbulent kinetic energy dissipation profile, and correct the oblique beam data to the case that the vertical beam height interval is the standard. For the mid beam, turbulent flow energy dissipation ratio is expressed in terms of a high surrogate distance binFor other beams, corrected turbulent kinetic energy dissipation ratioThe method comprises the following steps:
(10)
Wherein the method comprises the steps of The interpolation for oblique beams is shown, with the interpolation criteria being vertical beam height spacing. The final resultant turbulent kinetic energy dissipation ratio profile is:
(11)
wherein i= L, W, E, S, N, std is standard deviation, In order to find the average function,The condition that the standard deviation is smaller than 3 times of the data is required to be met, otherwise, the abnormal value is eliminated.
And S5, combining the calculation results of the steps S1-S4 with continuous high space-time resolution observation of the wind profile radar, and obtaining real-time and continuous wind shear conditions of low-altitude atmosphere movement in the horizontal dimension and the vertical dimension, atmosphere movement uniformity conditions of different heights in the wind profile radar detection range and atmosphere turbulence kinetic energy dissipation rate conditions of different heights in the wind profile radar detection range. The specific calculation process is as follows:
And S1-S4, obtaining a vertical profile of each index at each observation moment, when the wind profile radar runs continuously in real time, obtaining a continuous time-space variation trend of each index above the measuring station, and providing real-time and continuous wind shear index, atmospheric movement uniformity index and turbulent kinetic energy dissipation rate for users along with continuous and new real-time data of observation.
The present invention is disclosed in the preferred embodiments, but the present invention is not limited thereto, and the technical solutions obtained by the equivalent substitution or equivalent transformation are all within the scope of the present invention.
Claims (3)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411795533.3A CN119270275B (en) | 2024-12-09 | 2024-12-09 | A method for monitoring low-altitude atmospheric wind shear and turbulence based on wind profiler radar |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411795533.3A CN119270275B (en) | 2024-12-09 | 2024-12-09 | A method for monitoring low-altitude atmospheric wind shear and turbulence based on wind profiler radar |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN119270275A CN119270275A (en) | 2025-01-07 |
| CN119270275B true CN119270275B (en) | 2025-03-21 |
Family
ID=94123634
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202411795533.3A Active CN119270275B (en) | 2024-12-09 | 2024-12-09 | A method for monitoring low-altitude atmospheric wind shear and turbulence based on wind profiler radar |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN119270275B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN120103373B (en) * | 2025-05-06 | 2025-07-08 | 中国气象科学研究院 | Atmospheric boundary layer turbulence statistic inversion method, system, medium and program product based on 6-beam foundation light quantum wind lidar DBS scanning mode |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104133216A (en) * | 2014-07-17 | 2014-11-05 | 北京无线电测量研究所 | Method and device for detecting radar acquiring low-altitude wind profiles |
| CN109902327A (en) * | 2018-07-16 | 2019-06-18 | 江苏省气象台 | Calculation method of turbulent characteristics of near-surface high winds |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5689444A (en) * | 1995-06-07 | 1997-11-18 | The United States Of America, As Represented By The Secretary Of Commerce | Statistical quality control of wind profiler data |
| US6480142B1 (en) * | 2001-05-17 | 2002-11-12 | William L. Rubin | Method and apparatus for measuring velocity and turbulence of atmospheric flows |
| US20080169975A1 (en) * | 2007-01-12 | 2008-07-17 | Young Paul Yee | Process for generating spatially continuous wind profiles from wind profiler measurements |
| US20200264313A1 (en) * | 2015-12-14 | 2020-08-20 | Alliance For Sustainable Energy, Llc | Lidar-based turbulence intensity error reduction |
| CN106443678B (en) * | 2016-08-31 | 2018-10-30 | 王�华 | Utilize the atmospheric duct monitoring method of wind profile radar and RASS |
| CN112558075A (en) * | 2021-01-14 | 2021-03-26 | 成都锦江电子系统工程有限公司 | Multiband multi-beam shipborne satellite meteorological information receiving and wind field detecting system |
| CN112946655B (en) * | 2021-01-27 | 2022-05-13 | 江苏省气象科学研究所 | Downburst identification method, equipment and storage medium based on near-surface divergence field |
| CN113075754B (en) * | 2021-04-01 | 2022-10-04 | 南京红露麟激光雷达科技有限公司 | Raindrop spectrum acquisition method and device based on coherent Doppler laser radar |
| CN119089668A (en) * | 2024-08-19 | 2024-12-06 | 江苏省气象台 | Parameterization evaluation method of vertical shear base flow topography gravity wave in numerical model |
-
2024
- 2024-12-09 CN CN202411795533.3A patent/CN119270275B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104133216A (en) * | 2014-07-17 | 2014-11-05 | 北京无线电测量研究所 | Method and device for detecting radar acquiring low-altitude wind profiles |
| CN109902327A (en) * | 2018-07-16 | 2019-06-18 | 江苏省气象台 | Calculation method of turbulent characteristics of near-surface high winds |
Also Published As
| Publication number | Publication date |
|---|---|
| CN119270275A (en) | 2025-01-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN119270275B (en) | A method for monitoring low-altitude atmospheric wind shear and turbulence based on wind profiler radar | |
| CN112946657B (en) | Method for identifying ground wind field in strong convection weather | |
| CN109100723B (en) | High-altitude wind inversion method based on Doppler weather radar data | |
| CN107843895B (en) | A kind of Dual-Doppler weather radar dimensional wind inversion method | |
| CN115857057B (en) | A rainfall monitoring method based on GNSS PWV | |
| CN118330780B (en) | A method for forecasting low-altitude wind shear at airports with complex terrain | |
| Bringi et al. | Raindrop axis ratios and size distributions in Florida rainshafts: An assessment of multiparameter radar algorithms | |
| CN111624623B (en) | Wind field inversion method based on laser radar non-uniform scanning | |
| CN115236615B (en) | Method for simulating precipitation particle echo of airborne polarized weather radar based on T matrix method | |
| CN113866770A (en) | A kind of early identification method and storage medium of hail cloud | |
| Wang et al. | Application of wind-profiling radar data to the analysis of dust weather in the Taklimakan Desert | |
| Wang et al. | Comparative analyses of vertical structure of deep convective clouds retrieved from satellites and ground-based radars at Naqu over the Tibetan Plateau | |
| CN119758343A (en) | Weather radar wind field inversion parameter optimization method | |
| CN117348116B (en) | Local strong convection weather forecast method based on non-sharp inclined pressure belt | |
| Lloyd et al. | A comparison of middle atmospheric dynamics at Saskatoon (52° N, 107° W) as measured by a medium‐frequency radar and a Fabry‐Perot interferometer | |
| Yamada | Characteristics of wind fields derived from the multiple-Doppler synthesis and continuity adjustment technique (MUSCAT) | |
| Sen Roy et al. | Diurnal variability of convection over northwest Indian subcontinent observed by the Doppler weather radar data | |
| CN111505596B (en) | Three-dimensional wind field inversion method based on non-uniform sampling correction VAD technology | |
| CN114019513B (en) | Device and method for discriminating global ocean rainfall type of satellite-borne detection data | |
| Krasnenko et al. | Spatiotemporal dynamics of wind velocity from mini-sodar measurements | |
| Ohigashi et al. | Characteristics of upper-tropospheric outflow-layer clouds of Typhoon Francisco (2013) observed by hydrometeor videosonde | |
| Wang et al. | Improving C-band weather radar reflectivity attenuation based on two-dimensional video disdrometer data | |
| Yu et al. | A electrical field with multi-parameters sounding system for observations through thunderstorms | |
| Wang et al. | The application of sea-surface wind detection with Doppler LIDAR in Olympic sailing | |
| Fanyou et al. | A model study of three-dimensional wind field analysis from dual-Doppler radar data |
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 |