# US 12,761,395 B2 · Non-transitory computer readable medium and estimation method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,761,395 B2 - Document ID: US12761395B2 - Status: Granted - Kind: B2 - Application number: 18/480,491 - Filed: 2023-10-03 - Published: 2024-01-25 - Granted: 2026-10-13 - Earliest claimed: 2021-05-11 - Assignees: Furuno Electric Co., Ltd. - Applicants: Furuno Electric Co., Ltd. - Inventors: Taiki Iwahori; Masahiro Minowa - Web page: https://patentgrep.com/patent/US12761395B2 ## CPC - G01W 1/10: Devices for predicting weather conditions (computers per se G06; display devices G09) - G01N 22/00: Investigating or analysing materials by the use of microwaves or radio waves, i.e. electromagnetic waves with a wavelength of one millimetre or more (G01N3/00 - G01N17/00, G01N24/00 take precedence) - G01N 33/18: Water - G01W: METEOROLOGY (radar, sonar, lidar or analogous systems, designed for meteorological use G01S13/95, G01S15/88, G01S17/95) - G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q) ## Abstract Provided is a generation method for a learning model that can efficiently estimate altitude-by-altitude water vapor densities or precipitable water amounts. According to the present invention, a generation method for a learning model involves: acquiring training data that includes first measurement data measured by a microwave radiometer and altitude-by-altitude water vapor densities or precipitable water amounts obtained from second measurement data measured by a radiosonde: and, on the basis of the acquired training data, generating a learning model that, when first measurement data has been inputted, outputs altitude-by-altitude water vapor densities or precipitable water amounts. ## Claims ### Claim 1 A non-transitory computer-readable recording medium, recording a program causing a computer to perform: measuring, by a microwave radiometer, a first measurement data, the first measurement data includes radio field intensity data for radio waves of a lower limit frequency, an upper limit frequency, and frequencies between the lower limit frequency and the upper limit frequency; wherein the radio waves of the frequencies between the lower limit frequency and the upper limit frequency include a peak frequency that is a peak of the radio field intensites of radio waves radiated from water vapor; outputting altitude-by-altitude water vapor densities or a precipitable water vapor amount by inputting the first measurement data to a trained model which outputs the altitude-by-altitude water vapor densities or the precipitable water vapor amount when the first measurement data is input, wherein a plurality of pieces of the first measurement data measured at a plurality of time points by the microwave radiometer are acquired; and further comprising: generating change information of an altitudinal water vapor distribution based on the respective altitude-by-altitude water vapor densities at the plurality of time points output from the trained model; and outputting the change information of the altitudinal water vapor distribution. ### Claim 2 (depends on 1) The non-transient computer-readable recording medium according to claim 1, wherein the first measurement data includes a radio wave intensity for each of a plurality of frequencies. ### Claim 3 (depends on 2) The non-transient computer-readable recording medium according to claim 2, wherein a dimension reduction process is performed on the radio wave intensity for each of the plurality of frequencies included in the first measurement data, and the first measurement data including the radio wave intensity subjected to the dimension reduction process is input to the trained model. ### Claim 4 (depends on 1) The non-transient computer-readable recording medium according to claim 1, wherein the trained model is trained using training data including the altitude-by-altitude water vapor densities or the precipitable water vapor amount acquired from second measurement data measured by a radiosonde and the first measurement data. ### Claim 5 (depends on 4) The non-transient computer-readable recording medium according to claim 4, wherein the training data further includes climatological data including temperature, humidity, air pressure, or rainfall at a spot at which the microwave radiometer is installed, and further comprising: outputting the altitude-by-altitude water vapor densities or the precipitable water vapor amount by inputting the first measurement data and the climatological data to the trained model. ### Claim 6 (depends on 1) The non-transient computer-readable recording medium according to claim 1, wherein the plurality of pieces of the first measurement data measured at the plurality of time points by the microwave radiometer are acquired; and further comprising: generating change information of the precipitable water vapor amount based on the precipitable water vapor amount at the plurality of time points output from the trained model; and outputting the change information of the precipitable water vapor amount. ### Claim 7 (depends on 3) The non-transient computer-readable recording medium according to claim 3, wherein the trained model is trained using training data including the altitude-by-altitude water vapor densities or the precipitable water vapor amount acquired from second measurement data measured by a radiosonde and the first measurement data. ### Claim 8 (depends on 7) The non-transient computer-readable recording medium according to claim 7, wherein the training data further includes climatological data including temperature, humidity, air pressure, or rainfall at a spot at which the microwave radiometer is installed, and further comprising: outputting the altitude-by-altitude water vapor densities or the precipitable water vapor amount by inputting the first measurement data and the climatological data to the trained model. ### Claim 9 (depends on 8) The non-transient computer-readable recording medium according to claim 8, wherein a plurality of pieces of the first measurement data measured at a plurality of time points by the microwave radiometer are acquired; and further comprising: generating change information of a precipitable water vapor amount based on the precipitable water vapor amount at the plurality of time points output from the trained model; and outputting the change information of the precipitable water vapor amount. ### Claim 10 (depends on 9) The non-transient computer-readable recording medium according to claim 9, wherein first measurement data for each spot measured by the respective microwave radiometers installed in a plurality of spots is acquired; and further comprising: outputting the altitude-by-altitude water vapor densities or the precipitable water vapor amount at each of the plurality of spots by inputting the first measurement data for each spot to the trained model. ### Claim 11 (depends on 10) The non-transient computer-readable recording medium according to claim 10, wherein map information for identifying the plurality of spots at which the plurality of microwave radiometers is installed is acquired; and further comprising: superimposing the altitude-by-altitude water vapor densities or the precipitable water vapor amount at each of the plurality of spots in the map information. ### Claim 12 (depends on 11) The non-transient computer-readable recording medium according to claim 11, wherein climatological data including temperature, humidity, air pressure, or rainfall at each of the plurality of spots at which the plurality of microwave radiometers is installed is acquired; and further comprising: inputting the first measurement data and the climatological data for each of the plurality of spots to the trained model. ### Claim 13 A non-transitory computer-readable recording medium, recording a program causing a computer to perform: measuring, by a microwave radiometer, a first measurement data, the first measurement data includes radio field intensity data for radio waves of a lower limit frequency, an upper limit frequency, and frequencies between the lower limit frequency and the upper limit frequency; wherein the radio waves of the frequencies between the lower limit frequency and the upper limit frequency include a peak frequency that is a peak of the radio field intensites of radio waves radiated from water vapor; outputting altitude-by-altitude water vapor densities or a precipitable water vapor amount by inputting the first measurement data to a trained model which outputs the altitude-by-altitude water vapor densities or the precipitable water vapor amount when the first measurement data is input, wherein a plurality of pieces of the first measurement data measured at a plurality of time points by the microwave radiometer are acquired; and further comprising: generating change information of the precipitable water vapor amount based on the precipitable water vapor amount at the plurality of time points output from the trained model; and outputting the change information of the precipitable water vapor amount, wherein first measurement data for each spot measured by the respective microwave radiometers installed in a plurality of spots is acquired; and further comprising: outputting the altitude-by-altitude water vapor densities or the precipitable water vapor amount at each of the plurality of spots by inputting the first measurement data for each spot to the trained model. ### Claim 14 (depends on 13) The non-transient computer-readable recording medium according to claim 13, wherein map information for identifying the plurality of spots at which the plurality of microwave radiometers is installed is acquired; and further comprising: superimposing the altitude-by-altitude water vapor densities or the precipitable water vapor amount at each of the plurality of spots in the map information. ### Claim 15 (depends on 13) The non-transient computer-readable recording medium according to claim 13, wherein climatological data including temperature, humidity, air pressure, or rainfall at each of the plurality of spots at which the plurality of microwave radiometers is installed is acquired; and further comprising: inputting the first measurement data and the climatological data for each of the plurality of spots to the trained model. ### Claim 16 An estimation method that is performed by a computer, comprising: measuring, by a microwave radiometer, a first measurement data, the first measurement data includes radio field intensity data for radio waves of a lower limit frequency, an upper limit frequency, and frequencies between the lower limit frequency and the upper limit frequency; wherein the radio waves of the frequencies between the lower limit frequency and the upper limit frequency include a peak frequency that is a peak of the radio field intensites of radio waves radiated from water vapor; outputting altitude-by-altitude water vapor densities or a precipitable water vapor amount by inputting the first measurement data to a trained model which outputs the altitude-by-altitude water vapor densities or the precipitable water vapor amount when the first measurement data is input, wherein a plurality of pieces of the first measurement data measured at a plurality of time points by the microwave radiometer are acquired; and further comprising: generating change information of an altitudinal water vapor distribution based on the respective altitude-by-altitude water vapor densities at the plurality of time points output from the trained model; and outputting the change information of the altitudinal water vapor distribution. ### Claim 17 (depends on 16) The estimation method according to claim 16, wherein the first measurement data includes a radio wave intensity for each of a plurality of frequencies. ### Claim 18 (depends on 17) The estimation method according to claim 17, wherein a dimension reduction process is performed on the radio wave intensity for each of the plurality of frequencies included in the first measurement data, and the first measurement data including the radio wave intensity subjected to the dimension reduction process is input to the trained model. ### Claim 19 An estimation method that is performed by a computer, comprising: measuring, by a microwave radiometer, a first measurement data, the first measurement data includes radio field intensity data for radio waves of a lower limit frequency, an upper limit frequency, and frequencies between the lower limit frequency and the upper limit frequency; wherein the radio waves of the frequencies between the lower limit frequency and the upper limit frequency include a peak frequency that is a peak of the radio field intensites of radio waves radiated from water vapor; outputting altitude-by-altitude water vapor densities or a precipitable water vapor amount by inputting the first measurement data to a trained model which outputs the altitude-by-altitude water vapor densities or the precipitable water vapor amount when the first measurement data is input, wherein a plurality of pieces of the first measurement data measured at a plurality of time points by the microwave radiometer are acquired; and further comprising: generating change information of the precipitable water vapor amount based on the precipitable water vapor amount at the plurality of time points output from the trained model; and outputting the change information of the precipitable water vapor amount, wherein first measurement data for each spot measured by the respective microwave radiometers installed in a plurality of spots is acquired; and further comprising: outputting the altitude-by-altitude water vapor densities or the precipitable water vapor amount at each of the plurality of spots by inputting the first measurement data for each spot to the trained model. ### Claim 20 (depends on 19) The estimation method according to claim 19, wherein map information for identifying the plurality of spots at which the plurality of microwave radiometers is installed is acquired; and further comprising: superimposing the altitude-by-altitude water vapor densities or the precipitable water vapor amount at each of the plurality of spots in the map information. ### Claim 21 (depends on 19) The estimation method according to claim 19, wherein climatological data including temperature, humidity, air pressure, or rainfall at each of the plurality of spots at which the plurality of microwave radiometers is installed is acquired; and further comprising: inputting the first measurement data and the climatological data for each of the plurality of spots to the trained model.