Systems and methods for converting live weather data to weather index for offsetting weather risk
US-11869088-B2 · Jan 9, 2024 · US
US2016187535A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016187535-A1 |
| Application number | US-201514985763-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 31, 2015 |
| Priority date | Dec 31, 2014 |
| Publication date | Jun 30, 2016 |
| Grant date | — |
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A method of weather observations by a constellation comprises at least a first duster of three micro-satellites each orbiting around earth, and each micro-satellites comprises a spectrometer. Orbiting the three micro-satellites of the first duster around the earth in three separate orbits offset with respect to one another. Staggering the three micro-satellites with respect to one another as they orbit. Selecting the offset and the staggering, of each of the three micro-satellites with respect to one another, so that each one of the three micro-satellites have a substantially identical viewing area as each one of the three micro-satellites orbits around the earth. Sequentially collecting observations, from each of the three micro-satellites, as the micro-satellites orbit around the earth and observe substantially identical viewing areas, to separately gather atmospheric measurements and provide critical data for weather forecasting by infrared temperature and humidity soundings and motion vector winds of the earth.
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Wherefore, we claim: 1 . A method of weather observations by a constellation in which the constellation comprises at least a first cluster of three micro-satellites each orbiting around earth, and each of the three micro-satellites comprising a spectrometer, the method comprising: orbiting the three micro-satellites of the first cluster around the earth in three separate orbits with each of the three separate orbits being offset with respect to one another; staggering the three micro-satellites with respect to one another as the micro-satellites orbit in the respective orbits; selecting the offset and the staggering, of each of the three micro-satellites with respect to one another, so that each one of the three micro-satellites have a substantially identical viewing area as each one of the three micro-satellites orbits around the earth; and sequentially collecting observations, from each of the three micro-satellites of the first cluster as the three micro-satellites orbit around the earth and each observe the substantially identical viewing area, to separately gather atmospheric measurements and provide critical data for weather forecasting by infrared temperature and humidity soundings and motion vector winds of the earth. 2 . The method according to claim 1 , further comprising designing each one of the micro-satellites, of the first cluster, to have a mass of the spectrometer which is 110 pounds or less. 3 . The method according to claim 1 , further comprising utilizing an avalanche photodiodes detector, as the detector of the spectrometer, which has an intrinsic photo-signal gain and low noise figure that allows operation of the avalanche photodiodes detector at an operating temperature of about 100° K. 4 . The method according to claim 1 , further comprising observing, via the spectrometer, spectral radiances so as to create a vertical profile of the atmosphere, and then using temperature profiles and water radiances of the atmosphere in order to create a separate moisture vertical profile of the atmosphere. 5 . The method according to claim 1 , further comprising utilizing spectral emission channels near 2385 cm −1 (near 4.3 micrometers wavelength) from which a temperature vertical profile can be derived or inferred, and also utilizing a spectral region from about 2000 cm −1 to about 1750 cm −1 , which spectral emission channels are sensitive to water vapor concentration at different altitudes. 6 . The method according to claim 5 , further comprising deriving the water vapor concentration as a function of altitude of the atmosphere from water-vapor region radiances and temperature information. 7 . The method according to claim 1 , further comprising generating a 3D image of at least one of moisture and clouds in the atmosphere from a first hyperspectral observation of a leading satellite of the three micro-satellites, identifying, within the 3D image of the first hyperspectral observation, at least one unique and trackable feature in a moisture or a cloud pattern; attempting to detect the identified unique and trackable feature in a 3D image of a second hyperspectral observation of the same area which is obtained by an intermediate satellite of the three micro-satellites approximately 10-30 minutes after the 3D image of the first hyperspectral observation; inferring movement of the identified unique and trackable feature, which occurs between an initial position of the identified unique and trackable feature in the 3D image of the first hyperspectral observation and a second position of the identified unique and trackable feature in the 3D image of the second observation, as being a result of wind; and verifying wind by attempting to detect the identified unique and trackable feature in a 3D image of a third hyperspectral observation of the same area, obtained by a trailing satellite of the three micro-satellites, which is approximately 20-60 minutes after the 3D image of the first observation and approximately 10-30 minutes after the 3D image of the second observation. 8 . The method according to claim 7 , further comprising computing wind by detecting how far the second position of the identified unique and trackable feature, in the 3D image of the second hyperspectral observation, moved with respect to the initial position of the identified unique and trackable feature in the 3D image of the first observation; and verifying that the computed wind is solely due to the wind by determining if a current position of the identified unique and trackable feature, in the 3D image of the third hyperspectral observation, moved approximately twice as far with respect to the initial position of the identified unique and trackable feature as the identified unique and trackable feature moved between the initial position of the identified unique and trackable feature, in the 3D image of the first hyperspectral observation, and the second position of the identified unique and trackable feature, in the 3D image of the second hyperspectral observation. 9 . The method according to claim 1 , further comprising providing each respective spectrometer with a rotatable reflective mirror, for reflecting light from the earth towards a fore optics lens of the respective spectrometer, and the rotatable reflective mirror facilitates scanning a field of view, of the respective spectrometer, across the respective viewing area of the respective spectrometer for sequentially collecting the observations. 10 . The method according to claim 9 , further comprising scanning the rotatable reflective mirror of the respective spectrometer, from a first lateral edge of the respective viewing area to an opposite second lateral edge of the respective viewing area so that the field of view of the respective spectrometer gradually scans across the viewing area, from the first lateral edge to the opposite second lateral edge, of the respective spectrometer. 11 . The method according to claim 10 , further comprising recalibrating the respective spectrometer, via a calibration assembly, prior to the respective spectrometer commencing each scan cycle of the viewing area. 12 . The method according to claim 10 , further comprising completing each scan of the viewing area, by the respective spectrometer, from the first lateral edge to the opposite second lateral edge, within a time period of between approximately 90-120 seconds. 13 . The method according to claim 9 , further comprising reflecting the light, which enters the respective spectrometer, off a combined mirror/grating component, which diffracts the light rays that impinge against the diffusing grating to create a spectral dispersion of the light; and reflecting the spectral dispersion of the light toward an avalanche photodiodes detector for detection. 14 . The method according to claim 1 , further comprising orbiting each one of the three micro-satellites orbiting around earth in a respective sun-synchronous polar orbit which provides scanning of the earth twice a day. 15 . The method according to claim 1 , further comprising forming the constellation to include at least one other cluster, and the at least one other cluster including three micro-satellites each orbiting around earth, and each of the three micro-satellites of the at least one other cluster orbit around the earth in three separate orbits which are offset and staggered with respect to one another. 16 . A method of weather observations by a constellation in which the constellation comprises first, second, third and fourth clusters, and each of the first, the second, second, the third and
using determination of colour temperature · CPC title
using photoelectric array detector · CPC title
using diffraction elements, e.g. grating (gratings per se G02B) · CPC title
Constructional arrangements for compensating for fluctuations caused by temperature, humidity or pressure, or using cooling or temperature stabilization of parts of the device; Controlling the atmosphere inside a spectrometer, e.g. vacuum · CPC title
using focussing or collimating elements, e.g. lenses or mirrors; performing aberration correction · CPC title
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