KR20190017176A - Method of downward longwave radiation calculation using weather forecast data and satellite data - Google Patents

Abstract

The present invention relates to a method of downward long wave radiation calculation using weather forecast data and satellite data and, more specifically, provides a method of easily determining downward long wave radiation that is a variable that is not directly observed in a clean area and a cloud area based on weather forecast data and satellite data.

Description

TECHNICAL FIELD [0001] The present invention relates to a method for determining a downward longwave copy using weather forecast data and satellite data,

The present invention relates to a method of determining downlink longwave radiation using weather forecast data and satellite data, and more particularly, to a method of determining downlink longwave radiation which can not be directly observed by a satellite.

The global warming phenomenon, after the Industrial Revolution, has led to an increase in global greenhouse gas emissions due to increased use of fossil fuels as population growth and industrialization have progressed rapidly, leading to climate anomalies due to greenhouse effect Phenomenon.

Recently, as the global warming phenomenon becomes more serious, studies are being actively carried out to more accurately measure Downward Longwave Radiation at Surface (DLR) on the surface that affects the greenhouse effect. In other words, downward longwave radiation on the surface is a key indicator of the change in greenhouse effect associated with increasing air temperature and humidity in the cloudy or underground of the radiation budget, and quantitative measurement and determination studies are continuing.

The downward longwave radiation can be measured by a ground-based radar pylogometer. Generally, the BSRN, the Integrated Surface Irradiance Study (ISIS), the Surface Radiation Budget Network (SURFRAD) Measurements can be made through equipment such as the Radiation Measurement Program (ARM). The present invention can measure downward longwave radiation at each of a plurality of ground-based radiating observation points provided on the ground surface.

The ground-based radar observing equipment can be installed on a plurality of ground-based radar observation points installed on the surface of the earth. In this case, since the ground-based radar observation points exhibit inhomogeneous spatial characteristics in order to observe and understand the radiation amount formed in the earth, Installation and observation are impossible. In order to solve these problems, various researches have been recently conducted to develop algorithms using spatial resolution and satellite data (data with good spatial resolution), which can acquire data in a wide range according to global climate values .

However, various attempts have been made to use weather forecast data and satellite data to characterize the downward longwave radiation, which does not take into account the characteristics of downwind radiation, which depends on cloudiness, vertical temperature, Therefore, it is necessary to study how to measure the downward longwave radiation of the surface more accurately.

The present invention can provide a method of determining the downward longwave radiation that measures the downward longwave radiation in consideration of the cloudiness, the vertical temperature, and the non-humidity generated in the earth's atmosphere according to the solar radiation energy emitted from the sun.

The present invention can provide a method of determining a downward longwave radiation to determine a downward longwave radiation of an earth surface by measuring a downwave longwave radiation by distinguishing a cloud area and a clear area of the atmosphere and measuring the downwave longwave radiation measured in each area.

A method for determining a downward longwave radiation according to an exemplary embodiment includes receiving weather forecast data and satellite data for determining downward longwave radiation on an earth surface; Determining whether the satellite data can be determined based on pixel values of the input satellite data, and dividing the satellite data into a clear area and a cloud area; Measuring downward longwave radiation in a clear area and downward longwave radiation in a cloud area based on the weather forecast data; And determining downward longwave radiation of the surface of the ground based on the measured downfield longwave radiation in the clear area and the downwave longwave radiation in the cloud area.

According to an embodiment of the present invention, the step of receiving the input includes a step of measuring the atmospheric pressure caused by the air on the ground surface within a specific period of time, the weather forecast data, which is the numerical data classified into the level of the radiation, Satellite data that is the image data collected from a certain area of the ground surface can be received.

The measuring step according to an embodiment can measure the downward longwave radiation emitted from the atmosphere toward the earth's surface in accordance with the short-wave radiant energy incident from the sun to the clear region of the satellite data.

The measuring step according to an embodiment may measure downward longwave radiation in the clear area using input data including the atmospheric vertical temperature, vertical non-humidity, rainfall, surface air pressure and surface temperature.

According to an exemplary embodiment, the measuring step may include re-absorbing the long-wave radiation emitted from the earth surface to the cloud in accordance with the short-wave radiant energy incident from the sun on the cloud region of the satellite data, You can measure radiation.

The measuring step according to an embodiment uses input data including the input data including the vertical temperature of the atmosphere, the vertical non-humidity, the precipitation, the surface air pressure and the surface temperature and the ambient temperature, the ambient air pressure, the air pressure and the cloudiness The downward longwave radiation in the cloud region can be measured.

According to one embodiment of the present invention, the downward longwave radiation determination method can measure the downward longwave radiation in consideration of cloudiness, vertical temperature, and non-humidity, etc. formed in the earth's atmosphere according to the solar radiation energy emitted from the sun .

According to an embodiment of the present invention, the downward longwave radiative decision method measures the downward longwave radiation by distinguishing the cloud region and the clear region of the atmosphere, and determines the downward longwave radiation of the ground surface according to the downward longwave radiation measured in each region It is possible to provide a method of determining the downward longwave radiation.

FIG. 1 is a diagram illustrating an overall configuration for determining downward longwave radiation of an earth surface according to an embodiment.
2 is a view for explaining the detailed operation of the terrestrial radiation monitoring server for determining the downward longwave radiation of the surface according to an embodiment.
3 is a view showing an earth surface on which downward longwave radiation according to an embodiment is determined.
4 is a flowchart illustrating a method of determining downlink longwave radiations according to an exemplary embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a diagram illustrating an overall configuration for determining downward longwave radiation of an earth surface according to an embodiment.

Referring to FIG. 1, a terrestrial radiation observing server (not shown) can determine the downward longwave radiation (DLR) of the surface of the earth as a key indicator of the change due to the greenhouse effect of the earth. More specifically, the Earth receives solar energy from the sun in the form of radiation, and after solar energy enters the earth, it is reflected by the atmosphere and the surface, or absorbed by the atmosphere and clouds. Then, the solar energy absorbed in the atmosphere and clouds is radiated into the Earth 's energy and emitted to space, where some of the Earth' s energy is absorbed by the atmosphere and re - emitted to the surface. Here, the earth energy can emit long-wave radiation in the form of a longer wavelength than that of short-wave short-wave radiated solar energy.

Longwave radiation can be divided into upward longwave radiation or downward longwave radiation depending on the directions emitted by the infrared radiation observed in most of the surface or atmosphere. Here, the upward longwave radiation means longwave radiation emitted from the surface of the earth to the atmosphere, while conversely, the downward longwave radiation may mean longwave radiation emitted from the atmosphere toward the earth's surface.

Here, the downward longwave radiation is a radiant energy radiated from the atmosphere toward the earth surface as described above. As the amount of radiant energy radiated to the surface of the earth, that is, the radiation energy absorbed into the atmosphere increases as the downward longwave radiation increases, Can affect the rising greenhouse effect. In addition, the downward longwave radiation can be influenced by the amount of air released from the atmosphere to the earth's surface depending on the weather conditions such as atmospheric cloudiness, vertical temperature and non-humid conditions.

Thus, the terrestrial radiometric server can measure the downward longwave radiation of the surface to more efficiently predict changes in the greenhouse effect. In addition, the terrestrial radiometric server can utilize weather forecast and satellite data for more accurate measurements. Here, the weather forecast data may be numerical data obtained by measuring the atmospheric pressure caused by the air on the ground surface within a specific period and classifying the measured atmospheric pressure as the level of the radiation. In this case, the specific period means a certain period of the region where the weather condition is to be predicted, and it can be classified into a short period, a middle period, and a long period depending on a certain period. The short term means a period within two days, the middle term means a period of 2 to 5 days or a week, and the term means a period of one month or more.

The present invention can utilize the weather forecast data for a period of 2 to 5 days or a week for the medium term period. For example, the present invention can utilize a medium-term weather forecast provided by the European Center for Medium-Range Weather Forecasts (ECMW), which is one of the forecasting times for a range of 2 to 7 days. At this time, the medium weather forecast provided by the ECMW can be implemented in the form of a numerical model of the weather condition.

And satellite data is data from orbiting satellites that pass through the South Pole and the Arctic, and can be the entire surface of the earth as a result of the rotation of the earth's rotation. For example, Polar Orbit satellite data from the Clouds and the Earth Radiant Energy System (CERES).

As a result, the terrestrial radiometric server can determine the downward longwave radiation of the surface according to the medium-term weather forecast based on the satellite data of the entire surface of the earth.

2 is a view for explaining the detailed operation of the terrestrial radiation monitoring server for determining the downward longwave radiation of the surface according to an embodiment.

Referring to FIG. 2, the terrestrial radiometric survey server 201 can determine the downward long-wave radiation of the surface of the earth using the weather forecast data 202 and the satellite data 203 for determining the downward long wave radiation of the surface. As described with reference to FIG. 1, the weather forecast data 202 is a medium-term forecast predicted for a period of about 2 to 7 days in the ECMW, and the satellite data 203 is a data forecast of the entire surface of the earth observed from the polar- .

Here, in determining the downward longwave radiation, the terrestrial radiometric survey server 201 may use the input data to calculate the downward longwave radiation in the clear area and the downward longwave radiation (copy) in the cloud area, respectively. Here, the clear area represents a clear sky or a blue sky in which there is no cloud on the atmosphere, and may be a blue sky area contrasted with a cloud area.

The terrestrial radiometric survey server 201 can utilize the input data based on the reanalyzed data based on the weather forecast data 202 and the scan data of the satellite data 203. Here, the input data may be data for generating parameters used in the calculation algorithm proposed in the present invention based on the weather forecast data 202 and the satellite data 203.

Accordingly, the present invention can generate input data based on the ECMW (or ECMWF) data used as the weather forecast data 202 and the CRERS data used as the satellite data 203. Specifically, the ECMW (or ECMWF) data represents the ERA_interim reanalysis data, and the ERA_interim reanalysis data may be the result of climate reanalysis based on the ECNWF-operated Climate Change Service (Copernicus Climate Change Service). For example, the ERA_interim reanalysis data provides weather data for the global area from 1970 to the present, and data using the 4D-Var data assimilation method i) latitude of +90 to -90 degrees, ii) And may have a lattice spacing of 1 degree from 0 degrees to +360 degrees. In addition, the vertical data consist of 37 layers ranging from 1,000 hpa to 1 hpa corresponding to the air pressure generated by the air. The CRERS data refers to the ERES SSF1deg-Hour Edition 4 data, and the CERES data for the past hour is analyzed to show that i) the latitude is from -89.5 degrees to +89.5 degrees, ii) from -180 degrees to -180 degrees May be scanned images at intervals of 1 degree. In the case of ECMWF, the present invention can receive input data in 3-hour intervals, and CERES in seconds and minutes as scan data.

In using the calculation algorithm of the present invention, parameters of the input data used in the calculation algorithm may be different according to the clear area and the cloud area of the satellite data 203. In other words, in the case of a clear area, it is an area in which no cloud exists, and may include parameters such as atmospheric and surface temperature, non-humidity, and the like. On the contrary, in the case of the cloud area, parameters such as temperature, air pressure, and cloudiness are required in addition to the atmospheric and atmospheric temperature and the non-humidity. As a result, it is possible to utilize the parameters of the calculation algorithm for measuring the downward longwave radiation differently depending on whether or not the region includes clouds, and the input data used according to each region can be expressed as shown in Tables 1 and 2 below .

Element Contents Vertical Temperature Profile ECMWF Vertical temperature Vertical Specific Humidity Profile ECMWF vertical non-humidity Total Precipitable Water ECMWF precipitation Surface Pressure ECMWF Surface Pressure Surface Temperature ECMWF Surface Temperature

Table 1 lists the parameters of the input data used in the calculation algorithm for measuring the downward longwave radiation on the surface. Here, the parameters of the input data listed in Table 1 are reanalized data based on the weather forecast data 202, and are parameters used to measure the downward longwave radiation of the earth surface corresponding to the clear region of the satellite data 203.

Element Contents Vertical Temperature Profile ECMWF Vertical temperature Vertical Specific Humidity Profile ECMWF vertical non-humidity Total Precipitable Water ECMWF precipitation Surface Pressure ECMWF Surface Pressure Surface Temperature ECMWF Surface Temperature Cloud Base Temperature CERES operating temperature Cloud Base Pressure CERES ambient pressure Cloud Top Pressure CERES Operating pressure Cloud Fraction CERES cloudiness

Table 2 lists the parameters of the input data used in the calculation algorithm for measuring the downward longwave radiation on the surface. Here, the parameters of the input data listed in Table 2 are the data re-analyzed based on the weather forecast data 202 and the data calculated through the satellite data 203, and correspond to the cloud regions of the satellite data 203, It is a parameter used to measure longwave radiation.

As a result, the terrestrial radiometric server 201 can use a calculation algorithm for measuring the downward long-wave radiation of the ground surface using the ERA_interim reanalysis data according to the weather forecast data and the CERES SSF1 deg-Hour Edition4 data according to the satellite data. Then, the terrestrial radiation monitoring server 201 can distinguish a cloud area from a clear area, and use a calculation algorithm corresponding to each divided area.

The terrestrial radiometric survey server 201 can perform pixel-by-pixel analysis of the phase data according to the presence / absence of the input data based on the auxiliary data indicating the regression coefficient. Here, in the cloud region of the satellite data, the DLR value is larger than the clear region because it is the value that reabsorbs Upward Longwave Radiation (ULR) emitted upward from the surface and emits it again to the surface. Accordingly, the terrestrial radiometric survey server 201 can calculate the downward long-wave radiation for each divided area after dividing the satellite data into a clear area and a cloud area according to the presence or absence of clouds.

)과 구름 영역(

)에서의 하향 장파 복사를 산출 방법은 다음의 수학식 1 및 수학식 2와 같으며 이러한 산출을 위한 회귀 계수는 다음의 표 3 및 표 4와 같이 나타낼 수 있다.Clear area (

) And the cloud area (

) Is calculated by the following equations (1) and (2), and the regression coefficient for this calculation can be expressed as shown in Tables 3 and 4 below.

Here, Table 3 shows a regression coefficient corresponding to a clear area.

Here, Table 4 shows a regression coefficient corresponding to the cloud area.

)과 구름 영역(

) 및 운저 온도(

)의 경우, CERES SSF1deg-Hour Edition4 자료를, 그 외 변수인 유효방출온도(

), 가강수량의 로그값(V=

), 그리고 지표에서 운저 고도까지의 수증기량(

)은 ECMWF ERA_interim 자료를 입력하여 맑은 영역과 구름 영역 회귀계수인

및

를 구하게 된다.The present invention can use the parts including the regression coefficients shown in Tables 3 and 4 and the parts not included in the equations (1) and (2) as the left and right sides, respectively. At this time,

) And the cloud area (

) And the operating temperature

), The CERES SSF1deg-Hour Edition4 data is used as the other variables, the effective release temperature (

), The log value of precipitation (V =

), And the amount of water vapor from the surface to the bottom level

) Enter the ECMWF ERA_interim data and calculate the clear area and cloud area regression coefficient

And

.

는 맑은 영역에서의 지표면에 도달하는 하향장파복사조도(W/m²)를 나타내고,

는 유효 방출 온도(K),

은 지표면 온도(K),

는 첫 번째 층(지표면 ~ 850 hPa)의 온도(K),

은 두 번째 층(850 ~ 700 hPa)의 온도(K),

는 가강수량(㎜)을 나타낼 수 있다.Equation (1) above can represent an equation for measuring the downward longwave radiation for a clear region of satellite data. And,

(W / m²), which reaches the ground surface in a clear area,

(K), < / RTI >

(K), < / RTI >

Is the temperature (K) of the first layer (surface ~ 850 hPa)

(K) of the second layer (850 to 700 hPa)

Can represent the precipitation (mm).

)는 지표면 온도(

)와 지표면 ~ 850hPa 층의 온도(

) 및 850 ~ 700hPa 층의 온도(

)가 0.5와 0.4 그리고 0.1의 순서대로 가중치가 부여된 후 합산하여 구해질 수 있다.Here, the effective release temperature (hereinafter referred to as " effective release temperature "

) Is the surface temperature (

) And the temperature of the ground surface ~ 850hPa (

) And a temperature of 850 to 700 hPa (

) Are weighted in the order of 0.5, 0.4, and 0.1, and then summed.

은 구름 존재 시 지표면에 도달하는 하향장파복사조도(W/m²)를 나타내고,

는 운저(Cloud Bottom) 온도(K),

은 지표면 ~ 운저의 수증기량(mm)을 나타낼 수 있다.Equation (2) above may represent an equation for measuring the downward longwave radiation for the cloud region of the satellite data. And,

Represents the downward longwave radiation intensity (W / m²) reaching the ground surface in the presence of clouds,

Is the Cloud Bottom temperature (K),

Can represent the amount of water vapor (mm) on the surface of the earth.

)은 해당 범위에서의 연직 비습 평균값과 AMS glossary of meteorology에서 제시한 수학식 3으로부터 측정될 수 있다.Here, the surface-to-surface water vapor amount used in calculating the downward longwave radiation in the cloud region

) Can be measured from the vertical non-humid mean value in the range and from Equation 3 presented in the AMS glossary of meteorology.

은 수증기 밀도(㎏/m³),

는 지표면 ~ 운저에서의 비습 평균 값,

는 중력가속도(m/s²)를 나타낼 수 있다.In Equation 3,

(Kg / m < 3 >),

Is the non-humid mean value at the surface of the ground,

Can represent gravitational acceleration (m / s < 2 >).

As a result, in the present invention, the existing coefficients calculated using vertical data of TIROS Operational Vertical Sounder (TOVS) having a spatial resolution of 5 ° × 5 ° according to the polar orbiting satellite are compared with the vertical data of ERA_interim, which is an ECMWF numerical model reanalysis data, and CERES SSF1deg -Hour Edition 4 satellite data based on equations (1) and (2) through statistical model R. < tb > < TABLE > Here, the satellite data represents the surface downward longwave radiation data. Accordingly, the present invention can calculate the downward longwave radiation of the ground surface, which is a variable that can not be directly observed by the satellite, from highly accurate and easily obtainable data in the bulb area (entire surface).

3 is a view showing an earth surface on which downward longwave radiation according to an embodiment is determined.

Referring to FIG. 3, the present invention can determine the downward longwave radiation of the ground surface, and the diagram shown in FIG. 3 (a) is the downward longwave radiation of the ground surface measured in the daytime, The figure may be a representation of the downward longwave radiation of the ground surface measured at night.

Looking at these figures, we can see that the downward longwave radiation of the surface is lower in the polar region than in the equatorial region, and the daytime is higher than the nighttime. This is because the downward longwave radiation is predominantly influenced by vertical non-humidity and temperature, so that the temperature of the extreme region is lower than that of the equatorial region, the amount of water vapor is small and the temperature is unstable locally during the day, Is more.

In addition, we can observe that the downward longwave radiation is 100 - 150 W / m² larger than the clear area of cloud area. In the case of cloud area, it absorbs Upward Longwave Radiation, Because of the greenhouse effect that the downward longwave radiation is added to the surface due to the emission to the surface.

4 is a flowchart illustrating a method of determining downlink longwave radiations according to an exemplary embodiment of the present invention.

In step 401, the terrestrial radiometric survey server may input weather forecast data and satellite data for determining the downward long-wave radiation of the surface. Here, the weather forecast data may be a vertical numerical data obtained by measuring the atmospheric pressure caused by the air on the ground surface within a specified period and classifying the measured atmospheric pressure as the level of radiation, as predicted by the ECMWF. And, the satellite data may be data of the entire surface of the earth observed while the position is moved according to the orbit of the polar orbiting satellite. At this time, weather forecast data and satellite data can be used as auxiliary data for determining the downward longwave radiation of the surface.

In step 402, the terrestrial radiation observing server proceeds to the pixel-by-pixel inspection of the input data to determine the downward long-wave surface radiation for the case where the input data exists in each pixel, and in step 403, The satellite data can be divided into a clear area and a cloud area. The pixel value can be used as information for detecting whether or not the cloud exists according to the input data. The terrestrial radiation observing server can determine the downward longwave radiation value by dividing the input data used as the parameter of the calculation algorithm proposed by the present invention for determining the downward longwave radiation into a clear area and a cloud area depending on the presence or absence of cloud data per pixel .

In other words, the input data can be provided to the terrestrial radiometric survey server at regular intervals, as reanalysed data according to the weather forecast data and as scan data of the earth surface according to the satellite data. For example, the weather forecast data, ECMW (or ECMWF), is provided in a three-hour cycle, and the satellite data, CERES, can be provided in seconds and minutes as scan data on the Earth's surface.

In addition, the input data may include various information such as temperature, air pressure, cloudiness, etc., as well as atmospheric and surface temperatures and non-humid conditions, as parameters of the calculation algorithm proposed in the present invention. In addition, the terrestrial radiometric survey server determines the downward long-wave radiative value for the case where the input data exists through the pixel-by-pixel inspection of the satellite index and uses the parameters of the input data that are different from each other depending on the clear region or the cloud region have.

In step 402, the terrestrial radiation observing server determines whether or not to determine the downward longwave radiation for each pixel by pixel-by-pixel inspection of the satellite data, and in step 403, the pixel value of the satellite data represents a cloud area Or a clear area, or may be divided and then determined.

(YES), in step 404, the terrestrial radiation observing server re-absorbs the long-wave radiation emitted from the earth surface to the cloud according to the short-wave radiant energy incident from the sun on the cloud region of the satellite data , And the downward longwave radiation emitted from the atmosphere toward the surface of the earth can be measured. Here, the terrestrial radiometric server uses input data including input data including the atmospheric vertical temperature, the vertical non-humidity, the precipitation, the surface air pressure and the surface temperature, and the input temperature, the atmospheric pressure, the atmospheric pressure, Can be measured.

(NO), in step 405, the terrestrial radiometric server can measure the downward longwave radiation emitted from the atmosphere to the surface of the earth in response to the shortwave radiation energy incident from the sun, have. Here, the terrestrial radiometric server can measure the downward longwave radiation in the clear area using input data including the atmospheric vertical temperature, vertical non-humidity, rainfall, surface pressure, and surface temperature.

In step 406, the terrestrial radiation observing server may determine the downward longwave radiation of the surface of the ground based on the measured downward longwave radiation in the clear area and the downwave longwave radiation in the cloud area. In other words, the terrestrial radiation measurement server can determine the downward longwave radiation of the surface including cloud areas and clear areas.

Implementations of the various techniques described herein may be implemented in digital electronic circuitry, or in computer hardware, firmware, software, or combinations thereof. Implementations may be implemented in a computer program product, such as an information carrier, e.g., a machine readable storage device, such as a computer readable storage medium, for example, for processing by a data processing apparatus, May be embodied as a computer program recorded on a device (computer readable medium). A computer program, such as the computer program (s) described above, may be written in any form of programming language, including compiled or interpreted languages, and may be stored as a stand-alone program or in a module, component, subroutine, As other units suitable for use in the present invention. A computer program may be deployed to be processed on one computer or multiple computers at one site or distributed across multiple sites and interconnected by a communications network.

Processors suitable for processing a computer program include, by way of example, both general purpose and special purpose microprocessors, and any one or more processors of any kind of digital computer. Generally, a processor will receive instructions and data from a read-only memory or a random access memory or both. The elements of a computer may include at least one processor for executing instructions and one or more memory devices for storing instructions and data. Generally, a computer may include one or more mass storage devices for storing data, such as magnetic, magneto-optical disks, or optical disks, or may receive data from them, transmit data to them, . ≪ / RTI > Information carriers suitable for embodying computer program instructions and data include, for example, semiconductor memory devices, for example, magnetic media such as hard disks, floppy disks and magnetic tape, compact disk read only memory A magneto-optical medium such as a floppy disk, an optical disk such as a DVD (Digital Video Disk), a ROM (Read Only Memory), a RAM , Random Access Memory), a flash memory, an EPROM (Erasable Programmable ROM), an EEPROM (Electrically Erasable Programmable ROM), and the like. The processor and memory may be supplemented or included by special purpose logic circuitry.

In addition, the computer-readable medium can be any available media that can be accessed by a computer, and can include both computer storage media and transmission media.

While the specification contains a number of specific implementation details, it should be understood that they are not to be construed as limitations on the scope of any invention or claim, but rather on the description of features that may be specific to a particular embodiment of a particular invention Should be understood. Certain features described herein in the context of separate embodiments may be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment may also be implemented in multiple embodiments, either individually or in any suitable subcombination. Further, although the features may operate in a particular combination and may be initially described as so claimed, one or more features from the claimed combination may in some cases be excluded from the combination, Or a variant of a subcombination.

Likewise, although the operations are depicted in the drawings in a particular order, it should be understood that such operations must be performed in that particular order or sequential order shown to achieve the desired result, or that all illustrated operations should be performed. In certain cases, multitasking and parallel processing may be advantageous. Also, the separation of the various device components of the above-described embodiments should not be understood as requiring such separation in all embodiments, and the described program components and devices will generally be integrated together into a single software product or packaged into multiple software products It should be understood.

It should be noted that the embodiments of the present invention disclosed in the present specification and drawings are only illustrative of specific examples for the purpose of understanding and are not intended to limit the scope of the present invention. It will be apparent to those skilled in the art that other modifications based on the technical idea of the present invention are possible in addition to the embodiments disclosed herein.

Claims (1)

Receiving weather forecast data and satellite data for determining downward longwave radiation at surface (DLR) of the ground surface;
Determining whether the satellite data can be determined based on pixel values of the input satellite data, and dividing the satellite data into a clear area and a cloud area;
Measuring downward longwave radiation in a clear area and downward longwave radiation in a cloud area based on the weather forecast data; And
Determining a downward longwave radiation of the surface of the ground based on the measured downwave long-wave radiation in the clear area and the downwave longwave radiation in the cloud area
/ RTI >

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