KR20170104099A

KR20170104099A - System and Method For Wind Field Creation of CALMET Using Wind profiler Data

Info

Publication number: KR20170104099A
Application number: KR1020160026637A
Authority: KR
Inventors: 권병혁; 김박사; 김광호; 김민성
Original assignee: 부경대학교 산학협력단
Priority date: 2016-03-04
Filing date: 2016-03-04
Publication date: 2017-09-14
Also published as: KR101814039B1

Abstract

The present invention receives wind direction and wind speed information of a wind profiler without using only data of radio sonde and generates a wind field in CALMET. The present invention relates to a radiosonde that receives information of temperature, humidity, The information received from the wind profiler information receiving module, the radiosonde information receiving module, and the wind profiler information receiving module, which receives the wind direction and wind speed information from the information receiving module and the wind profiler, is used as the upper layer weather data, A CALMET wind field generation system and method using Wind Profiler data, including a wind field calculation module for calculating a wind field, which improves the accuracy of a CALEMT wind field generated using information of radio sonde.

Description

[0001] The present invention relates to a CALMET wind field generating system and method using wind profiler data,

The present invention generates a wind field in CALMET by receiving wind direction and wind speed information of wind profiler without using only radio sonde data, and is a wind field generating system and method of CALMET using wind profiler data.

With the development of computer performance, a middle-scale weather prediction model that can consider synoptic atmospheric motion and a diagnostic model that can accurately simulate 3-dimensional wind fields in the atmospheric boundary layer by surface structure and topography in detail area have been developed. Research into the field has been actively conducted. The Korean peninsula is divided into the north and east by the large mountain ranges of the Northeast and the Southwest, the three sides are surrounded by the sea, and the coastline is long, complicated and bendy terrain. Especially, in the coastal area, because of the effect of land and sea breeze due to land - sea temperature difference, very complex wind field is appeared. Therefore, in order to perform accurate atmospheric diffusion modeling, 3 - D wind field input data is needed.

In addition, the use of a single point of meteorological data in the entire modeling area can not account for the diffusion of pollutants due to changes in spatial wind patterns depending on the terrain. Therefore, it is necessary to make a 3D wind field using the diagnostic and predictive wind field model which can consider the vertical and horizontal terrain changes.

Korean Patent Publication No. 2012-0101949 (disclosed on September 17, 2012) Korean Patent Publication No. 2012-0101952 (disclosed on September 17, 2012)

An object of the present invention is to generate a wind field in CALMET using the wind direction and direction information of a wind profiler. The present invention provides a system and method for creating a wind field of CALMET using wind profiler data, which improves the accuracy of the wind field generated using existing radio sonde.

In order to accomplish the above object, the present invention provides a radio-sonde information receiving module for receiving temperature, humidity, and atmospheric pressure information in a radiosonde, a wind profiler information receiving module for receiving wind direction and wind speed information from a wind profiler, And a wind field calculation module that calculates the wind field through modeling using information received from the sonde information receiving module and the wind profiler information receiving module as upper layer weather data.

The wind field calculation module includes a primary wind field calculation module that calculates the primary wind field in response to kinematic changes due to topographic effects, slope flow, atmospheric congestion, and accelerated wind changes between the bones and bones .

The wind field calculation module includes a secondary wind field calculation module that calculates the secondary wind field by analyzing the primary wind field calculated from the primary wind field calculation module.

A radiosonde information receiving step of receiving the temperature, humidity and atmospheric pressure information of the radio zone received by the radiosonde information receiving module and a wind profiler information receiving wind profile information of the wind profiler received by the wind profiler information receiving module And a wind field calculation step of calculating the wind field through modeling in the wind field calculation module using the information received in the receiving step and receiving the radio-sonde information and the wind-froiler information receiving step as upper-layer weather data.

The wind field calculation step is the first step to calculate the first wind field in the first wind field calculation module to reflect the kinematic changes due to the topography effect, the slope flow, the atmospheric congestion, and the changes due to accelerated winds between the bones and the bones. And a wind field calculation step.

The wind field calculation step includes a second wind field calculation step of calculating the second wind field in the second wind field calculation module by analyzing the first wind field calculated in the first wind field calculation step.

The present invention generates a wind field in a CALMET using wind direction and wind speed information of a wind profiler. It is a CALMET using wind profiler data, which improves the accuracy of the CALEMT wind field generated using information of the radio sonde A wind field generating system and method are provided.

1 is a conceptual diagram of a wind field generation system of CALMET according to the present invention.
2 is a flowchart of a wind field generation method of CALMET according to the present invention;
Figures 3 to 10 are comparative diagrams for verification of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

It will be apparent to those skilled in the art that the present invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, It is provided to let you know. Like reference numerals refer to like elements throughout.

1 is a conceptual diagram of a wind field generation system of CALMET according to the present invention.

The CALMET wind field generating system using the wind profiler data according to the present invention includes a radiosonde information receiving module (100) for receiving temperature, humidity, and atmospheric pressure information in the radiosonde, and a wind profiler The wind field calculation module 300 calculates the wind field through modeling using the information received from the wind profiler information receiving module 200, the radiosonde information receiving module, and the wind profiler information receiving module as upper layer weather data .

The wind field calculation module 300 calculates a wind field calculation module 300 that calculates a primary wind field by reflecting a kinematic change due to the topography effect, a mountain slope flow, atmospheric congestion, And a secondary wind field calculation module 320 for calculating a secondary wind field by object analysis based on the weight of the distance using the primary wind field calculated by the primary wind field calculation module 310 .

2 is a flowchart of a wind field generation method of CALMET according to the present invention.

The wind field generation system of CALMET using the wind profiler data according to the present invention includes a radio zone information receiving step (S1-1) of receiving the temperature, humidity and atmospheric pressure information of the radio zone received by the radio zone information receiving module (S1-1) A wind profiler information receiving step (S1-2) of receiving the wind profile information and the wind profile information of the wind profiler received by the wind information obtaining module, the receiving information of the radio sonde information, and the information received at the wind profiler information receiving step And a wind field calculation step S2 for calculating the wind field through modeling in the wind field calculation module using the data as the data.

The wind field calculation step (S2) calculates the first wind field in the first wind field calculation module to reflect the kinematic change due to the topography effect, the slope flow, the atmospheric congestion, and the change due to the accelerated wind between the bones and the bones The second wind field calculation step (S2-1) for calculating the first wind field and the second wind field calculation step for calculating the second wind field in the second wind field calculation module by analyzing the first wind field calculated in the first wind field calculation step S2-2).

For verification of the present invention, the radiosonde observational parameters for evaluating the accuracy of the wind field simulated by CALMET are the horizontal wind velocity and the wind direction at the altitude. The accuracy of the wind field simulated by CALMET is shown by the average deviation Mean Bias, MB), root mean square error (RMSE), and normalized root mean square error (Normailzed RMSE, NRMSE). The mean deviation represents the directionality of the CALMET error. When the sign of the mean deviation is negative (-), it means that the wind speed simulated by CALMET is overestimated compared to the wind speed observed by the radiosonde. Square root mean squared error means the magnitude of CALMET and radio zone error. The normalized square root mean square error means that the magnitude of the CALMET error is normalized from the influence on horizontal wind speed. Statistical verification is performed by selecting the radio zone data closest to the CALMET simulation height (20m, 40m, 80m, 160m, 300m, 600m, 1000m, 1500m, 2200m, 3000m, 4000m, 5000m). Nine wind profiler wind direction and wind velocity data were used except for the Gangneung point when crossing the radiosonde data from the Gangneung point. When cross - validation was performed with the radiosonde data, Nine wind profiler wind direction and wind speed data were used.

3 to 10 are comparative diagrams for verification of the present invention.

Figure 3 shows the time series (a) of the Kangneung Kangsangdae wind profiler, the time series of the radiosondes recalled at Kangnung Meteorological Observatory (b), the time series (c) and NOmd of the wind corresponding to Gangneung Point from CALMET wind field simulated by Omd It compares the time series (d) of the wind corresponding to Gangneung point from a CALMET wind field.

Figure 4 shows the time series (a) of the Gunsan meteorological station wind profiler, the time series of the radiosondes secluded at the Gunsan meteorological station (b), the time series of the wind corresponding to Gunsan point at the CALMET wind field simulated by Omd (c) It compares the time series (d) of wind corresponding to Kunsan branch from a CALMET wind field.

FIG. 5 is a graph showing the relationship between the on-off profile (a solid line) after the sea breeze blowing (black solid line) and the after-sea profile (gray solid line) And the non-moisture profile (b) after the blowing of the sea breeze (gray solid line).

Fig. 6 is a graph showing wind-induced wind vector (U), north-south component wind vector (V) wind data (R) Wind speed and wind direction.

Fig. 7 is a graph showing wind-induced wind vector (U), north-south component wind vector (V), wind speed, wind speed, and wind speed calculated by simulating radiosonde (gray solid line), NOmd It compares data with wind velocity and wind direction.

Fig. 8 shows the wind-induced wind vector (U), north-south component wind vector (V) wind data, and wind speed data obtained by simulating radiosonde (gray solid line), NOmd (*) and Omd Wind speed and wind direction.

9 shows the wind-induced wind vector (U), the north-south component wind vector (V), and the wind-induced wind vector (U) obtained by simulating radiosonde (gray solid line), NOmd It compares data with wind velocity and wind direction.

Figure 10 shows the data of 10, 13 and 15 o'clock of the radiosonde data that was recalled in Gangneung, and the RMSE of the horizontal average wind speed of the CAMMET at the time of MB, RMSE, NRMSE and horizontal direction .

Referring to FIG. 3, the NOmd-generated wind speeds in the Jeongok-ri, Sokcho, Heuksan-do and Gwangju points were overestimated in the lower horizontal wind speed and lower than in the radiosonded. The horizontal wind speed calculated by Omd at the same point was generally underestimated, but was in good agreement with radiosondes compared to NOmd. The horizontal wind speeds calculated by NOmd and Omd at Pohang and Osan sites tend to be underestimated compared to radiosondes, but the relative wind speed calculated by Omd is closer to that of radiosondes.

Referring to FIG. 4, the wind direction calculated by the two methods in the six regions relatively coincides with the wind direction observed in the radiosonde. In Jeongok-ri (Fig. 4a), Omd simulated the east wind-like wind in the lower layer, but NOmd simulated it in the southern wind-like wind. In Osan (Fig. 4c), the southern winds of the lower layer, Omd, and the NOmd were simulated in the southwest wind system and the northeast wind system, respectively. In the Heuksan Island (Fig. 4f), the westerly winds of the lower layer and the NOmd were simulated as the winds of the southern winds, and Omd simulated well with the winds of the westerly winds. The horizontal wind velocity and the wind direction calculated by Omd are relatively in good agreement with the radiosondes in comparison with the horizontal wind speed and wind direction calculated by NOmd.

FIG. 3A is a wind time series observed by a wind profiler installed on the Kangneung Meteorological Zone on June 18, 2013, and FIG. 3B is a wind time series observed by observing radiosondes on June 18, 12 times in total near Gangneung Meteorological University. Gangneung Meteorological University is adjacent to the east coast. In the wind time series, it is seen that the wind changes from the gale wind to the sea breeze after 13:00 in Gangneung, and the westerly wind breeze is blowing throughout the day in Gunsan. Omd and Nomd correctly compiled these local wind changes and compared them to Wind Profiler and Radio Sonde data, respectively. Wind profiler data from nine locations, excluding the wind profiler data at the comparison points, were used to simulate the winds at the points where Omd had been stationed in the radiosonde. Fig. 3c is a wind time series data at Gangneung Meteorological University site simulated by Omd using nine wind profiler data installed at Wonju, Cheorwon, Munsan, Gunsan, Changwon, West Sea General Station, Chukbangryeong, Uljin and Boseong. Fig. 3 ( d) is wind time series data at the Gangneung meteorological station calculated by Nomd.

First, the westerly winds from 13 o'clock were observed at all altitudes below 1.3 km due to the dusk winds of Dongfeng line, and the sea breeze lasted until about 21 o'clock. Unlike NOmd, Omd has appropriately simulated the wind of the east wind at 300m and 600m since 11 o'clock. The wind of the east wind system is judged to be the sea breeze that has been generated by heating the surface of the earth faster than the sea since the sunrise.

FIG. 4A is a wind time series observed by the wind profiler installed on the Gunsan weather station on June 18, and FIG. 4B is a wind time series observed by radio astronaut observing 11 times on June 18th near the Gunsan weather station. Winds observed by Gunsan Wind Profiler were mostly winds of westerly winds until sunset, but winds of east winds were observed after sunset. This is because unlike the Kangnung Wind Profiler, Gunsan Wind Profiler was installed on the west coast of the peninsula. 4c is wind time series data of Gunsan meteorological station calculated by Omd using the wind profiler data of 9 sites installed in Gangneung, Wonju, Cheorwon, Munsan, Changwon, West Sea General Station, Chukbangryeong, Uljin and Boseong. Fig. 4d is wind time series data at the Kunsan meteorological station calculated by NOmd. It can be confirmed that a strong sea breeze comes from the lower layer (71m ~ 1km). The wind time series calculated by Omd simulated the wind wind series at all altitudes like the wind time series observed by Gunsan Wind Profiler. However, the wind time series calculated by NOmd is about 1.2km after 12 o'clock. Of the wind.

Referring to FIG. 5, the temperature and the atmospheric pressure of the radiosonde are measured using the temperature, pressure, and dew point temperature data when the sea breeze starts to blow. Figure 5a shows the change in ontion at the Gangneung meteoric station. The black solid line is the on-time profile of 10 am before the sea breeze blows, and the gray dotted line is the on-time profile of the 17 o'clock over 3 hours after sea breeze started blowing after 13 o'clock. The onion variation of the lower layer decreased by up to 20k. Figure 5b shows the non-humidity changes at the Gangneung meteoric station. Similarly, the black solid line is the non-moisture profile at 10 am before the sea breeze blows, and the gray dotted line is the non-moisture profile at 17 o'clock 3 hours after the sea breeze entered. The variation of the non-humid conditions in the lower layer was found to be increased by 3 g / kg at an altitude of about 1.5 km.

The winds simulated by NOmd and Omd were compared with the radiosonde data at the beginning of the sea breeze. Referring to FIG. 6, there is a comparison of U-component and V-component wind data, wind velocity, and wind direction, which were calculated by radio-zone and NOmd and Omd at 10:00 when the sea breeze started to blow in Gangneung. (Fig. 6A, Fig. 6B, Fig. 6C, and Fig. 6D) The horizontal wind speed calculated by NOmd tends to oversimplify overall, but the horizontal wind speed calculated by Omd is almost similar to the horizontal wind speed observed by radio sonde. Looking at the radiosonde observations, it was observed that the wind started to flow from the lower stratum to the 1.5 km altitude at the beginning of the sea breeze. Figure 6d shows that Omd, unlike NOmd, simulates it well. Fig. 7 also compares wind speed and wind direction with U-component and V-component wind data simulated by 13 o'clock radiosonde and NOmd and Omd, where sea breeze blows in Gangneung. As shown in FIG. 6, the wind speed and the wind direction calculated by Omd are better than the NOmd, simulating the national winds such as the landing wind. This is because the Wind Profiler data with high time resolution is used. Using the wind profiler data, three-dimensional reconstruction data assimilation is performed, and it can be seen that it works more effectively in the detailed wind field calculation by the topography by partially weakly simulating the overall strong wind in the land. Unlike Gangneung Meteorological University, it can be seen that the westerly winds of the westerly winds were blowing throughout the day at Gunsan Meteorological Station. In addition, when the synoptic winds are present, it is reported that the local circulation pattern of the Korean peninsula, the height of the atmospheric boundary layer, the intensity of the landing breeze, and the distance to land are influenced greatly. , The local circulation develops earlier than the west coast, and its characteristics are maintained even if there is synoptic scale movement.

Fig. 8 compares wind speed and wind direction with U-component and V-component wind data simulated by radiosonde at 14 o'clock and NOmd and Omd, where sea breeze blows in Gunsan. The horizontal wind speed simulated by NOmd and Omd tended to underestimate in the upper layer, and the lower wind speed calculated by NOmd seemed to simulate the wind speed observed in radiosonde, , It tends to underestimate the wind speed calculated by Omd. The direction of the wind generated by Omd is well simulated as westerly winds in both the upper and lower layers as in the case of the radiosonde observations, but it can be seen from Fig. 8d that the wind direction of the lower layer calculated by NOmd is mistakenly simulated by the east wind system.

Referring to FIG. 9, the radiosonde data at 16 o'clock, when the sea breeze blows from Gunsan, and the U-component and V-component wind data simulated by NOmd and Omd are compared with each other. 9A, 9B, and 9C, the wind direction is simulated as a westerly wind in Omd, unlike NOmd, and the wind direction is simulated in the wind direction as shown in FIG. 9D Lt; / RTI >

Figure 10 shows that the radiosonde data that were recalled at 10, 13, and 15 hours when the sea breeze blows out of the radio-sonde data that had been circulated 12 times in Gangneung on June 18, and CALMET RMSE for horizontal direction of MB, RMSE, NRMSE and horizontal wind direction of altitude. First, the horizontal wind velocity MB of CALMET calculated by NOmd in Gangneung area in June was overestimated to radiosonde by -2.18 ~ -0.03m / s up to about 1km. The MB for horizontal wind speeds from 1km to 5km was greatly overestimated from 3km to -7.53m / s. The horizontal wind velocity MB of CALMEt at altitude calculated by Omd was -0.04 ~ -1.2m / s up to about 1km, and there was no significant difference from radiosondes. The horizontal wind velocity from 1km to 5km was -0.14 ~ -1.7m / s, there is no significant difference from the radio-zone data. The root mean square error (RMSE) of elevation to horizontal wind speed of CALMET calculated by NOmd was less than 2.3, / s up to about 1km, but it was 7.7m / s and 10.2m / s at 2.2km and 3km respectively . Figure 12b shows that the RMSE of the CAMMET calculated by Omd was less than 1.6m / s for altitudes up to about 1k and 6.6m / s for 5k, but showed a generally lower RMSE. The RMSE for the horizontal wind speed of CALMET calculated by NOmd was increased or decreased to 2.2km and decreased at higher altitudes. Fig. 10C shows that the NRMSE for the horizontal wind speed of CALMET calculated by Omd showed an increase or decrease up to 2.2 km, but showed a relatively low NRMSE. We can confirm that the horizontal wind speed of CALMET calculated by Omd is closer to the observed value than the lower horizontal wind speed calculated by NOmd. The RMSE for the horizontal wind direction of CALMET calculated by NOmd was the highest at the altitude of 600m and 171 °, and decreased sharply as the altitude increased. The RMSE for the horizontal wind direction of the CALMET calculated by Omd was the highest at the altitude of 300m at 198 ° and decreased sharply at the altitude. Figure 10d shows that the RMSE for the horizontal wind direction of the CAMMET calculated by the NOmd and OBS mode tends to increase toward the lower level in common. The RMSE for the horizontal wind direction of CALMET calculated by NOmd was more than 60 ° to 1.5km, the highest at 600m and 170 °, and decreased sharply with increasing altitude. The RMSE for the horizontal wind direction of CALMET calculated by Omd was the highest at about 105 ° at 300m altitude and was lower than the RMSE for horizontal wind direction calculated by NOmd. It can be seen that the RMSE for the horizontal wind direction of CALMET calculated by Omd at less than 1.5 km, which is the altitude of the sea breeze development, simulates the sea breeze.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention as defined in the appended claims. You will understand.

100: Radio-Sonde information receiving module
200: Wind Profiler information receiving module
300: Wind field calculation module
310: Primary wind field calculation module
320: Secondary wind field calculation module
S1-1: Receiving radio-zone information
S1-2: Wind Profiler information receiving step
S2: Primary wind field generation phase
S3: Secondary wind field generation phase

Claims

A radiosonde information receiving module for receiving temperature, humidity, and atmospheric pressure information in a radio zone;
A wind profiler information receiving module for receiving wind direction and wind speed information from a wind profiler; And
A wind field calculation module for calculating a wind field through modeling using information received from the radio-sonde information receiving module and the wind profiler information receiving module as upper-layer weather data;
Windfield Generation System of CALMET using Wind Profiler Data.

The method according to claim 1,
The wind field calculation module
A primary wind field calculation module that calculates the primary wind field reflecting kinematic changes due to topographic effects, mountain slope flow, atmospheric stagnation, and accelerated winds between bones and bones;
Windfield Generation System of CALMET using Wind Profiler Data.

3. The method of claim 2,
The wind field calculation module
A secondary wind field calculation module for calculating a secondary wind field by analyzing the objective based on the weight of the distance using the primary wind field calculated by the primary wind field calculation module;
Windfield Generation System of CALMET using Wind Profiler Data.

Receiving radio-zone information of the radio-zone received by the radio-zone-information receiving module;
A wind profiler information receiving step of receiving wind direction and wind speed information of the wind profiler received by the wind profiler information receiving module; And
A wind field calculation step of calculating a wind field through modeling in a wind field calculation module using the information received in the radio-sonde information receiving step and the wind profile information receiving step as upper-layer weather information;
A Method for Wind Field Generation of CALMET Using Wind Profiler Data.

5. The method of claim 4,
The wind field calculation step
A primary wind field calculation step that calculates the primary wind field in the primary wind field module to reflect the kinematic change due to the topographic effect, the slope flow, the atmospheric congestion, and the change due to the accelerated wind between the bones and the bones; A Method for Wind Field Generation of CALMET Using Wind Profiler Data.

6. The method of claim 5,
The wind field calculation step
A second wind field calculation step of calculating a second wind field in the second wind field calculation module by analyzing the objective based on the weight of the first wind field calculated in the first wind field calculation step;
A Method for Wind Field Generation of CALMET Using Wind Profiler Data.