Software method for enhancing IR satellite sensor cloud images

• US 5,255,190 A
• Filed: 09/21/1990
• Issued: 10/19/1993
• Est. Priority Date: 05/31/1989
• Status: Expired due to Term

• Current Assignee: Telvent DTN Incorporated (TBG AG)
• Original Assignee: Kavouras, Inc. (Radtec Engineering, Inc.)
• Inventors: Sznaider, Ronald J.
• Primary Examiner(s): NOT, DEFINED
• Assistant Examiner(s): Tran, Khai
• Application Number:
  US07/586,144
• Time in Patent Office: 1,124 Days
• Field of Search: 364/420, 364/578, 358/89, 358/103, 342/460
• US Class Current: 702/3
• CPC Class Codes: G06T 15/50 Lighting effects

Abstract

To improve the quality of the raster scan display on a video monitor or two-dimensional infrared satellite cloud imagery so as to provide it with a three-dimensional appearance, the satellite data is computer processed to first convert from satellite image to Cartesian coordinates and then combined with localized weather information obtained from ground observations and radiosonde data, such weather information including temperatures, humidity readings, pressures and other earth conditions at gridded locations within predetermined global regions. In this fashion, the satellite cloud base and cloud top temperatures are determined and converted into altitude profiles at each of 640×480 pixel locations comprising the satellite imagery. The resulting raster scan bit stream is representative of a 3-D display of the cloud formations. By using time-lapse animation, a four-dimensional presentation, i.e., one including time as a factor, can be displayed.

Claims

1. A method of enhancing two-dimensional IR satellite sensor cloud information for presentation on a raster scan display screen comprising the steps of:

(a) sampling and storing two-dimensional IR sensed cloud image radiance information pertinent to a predetermined geographical region from a geostationary orbit meteorological satellite in a memory of a general purpose digital computer;

(b) sampling and storing earth surface weather related information for said predetermined geographical region from multiple sources in said memory;

(c) sampling and storing current and forecasted upper-air temperature information obtained from radiosonde instruments at mandatory and significant altitude levels above said geographical region;

(d) storing in said memory of said digital computer information relative to the elevation above means seal level of the earth'"'"'s surface in said predetermined geographical region;

(e) processing the stored information sampled in steps a, b, c and d to create cloud image raster scan signals exhibiting three-dimensional characteristics of said IR satellite sensor cloud information; and

(f) applying said raster scan signals to a visual display device.

2. A method for enhancing IR satellite sensor cloud information for later presentation on a raster scan display screen comprising the steps of:

(a) sampling two-dimensional IR sensed cloud image brightness count information pertinent to a predetermined geographical region from a geostationary orbit meteorological satellite and storing in a memory of a general purpose digital computer;

(b) transforming said satellite image-coordinate IR brightness count information to Cartesian coordinate format in said digital computer;

(c) assembling surface weather data for gridded locations within a predetermined geographical region from a plurality of publicly available sources and storing same in said memory;

(d) extrapolating the surface weather data assembled and stored in step (c) for a plurality of pixel locations within said geographical region;

(e) assembling upper-air temperature data from National Weather Service (NWS) radiosonde transmitted information for a plurality of discrete altitude levels at plural locations within said region and storing same in said memory;

(f) extrapolating the upper-air temperature data assembled in step (e) for altitudes intermediate said discrete altitude levels and for each of said plurality of pixel locations within said geographical region;

(g) computing from the extrapolated data obtained in steps (d) and (f) a temperature for a Lifted Condensation Level at each of said pixel locations;

(h) determining from the computer temperatures of step (g) a presence or absence of clouds at each of said pixel locations;

(i) determining for each pixel location where clouds are determined to be present in step (h) a vertical temperature characteristics of said clouds at a plurality of altitudes;

(j) converting said vertical temperature characteristics of said clouds at each pixel location as determined by step (i) into digitally-encoded, multi-bit words representative of color shades at each of said plurality of elevations in a raster scan format; and

(k) presenting said digitally encoded color shade data on a video display terminal.

3. The method as in claim 2 wherein said surface weather data assembled and stored includes surface air temperature, dew point temperature and surface elevation information.

4. The method as in claim 3 wherein said surface weather data assembled and stored further includes water temperatures of predetermined bodies of water.

5. The method as in claim 3 wherein said surface air temperature and dew point temperature are broadcast through the facilities of the National Weather Service Domestic circuit and the Federal Aviation Agency 604 circuit.

6. The method as in claim 2 wherein the step of extrapolating said surface weather data includes performing a bi-linear interpolation of said surface weather data for all pixels surrounded by a group of four of said gridded locations.

7. The method as in claim 2 wherein said step of assembling and storing in said memory upper-air temperature data further includes:

(e-1) retrieving forecasted temperatures at said predetermined discrete altitudes;

(e-2) computing the forecasted rate of temperature change for each of said predetermined discrete altitudes; and

(e-3) continuously modifying said upper-air temperatures at said discrete locations in accordance wit the forecasted rate of temperature change computed in step (e-2).

8. The method as in claim 2 wherein said step of determining for each pixel location the vertical temperature characteristics of clouds at a plurality of altitudes includes the steps of:

(i-1) computing temperature values for cloud tops as a function of the GOES brightness count digital data;

(i-2) assigning the temperature computed in step (g) to the cloud base;

(i-3) interpolating the altitude of said cloud base and normal cloud tops between known altitude levels; and

(i-4) computing the altitude of any connective overshooting cloud tops.

9. The method as in claim 2 and further including the steps of:

(a) establishing a convolution mask of predetermined numeric values;

(b) calculating a weighted sum of each pixel on the image being analyzed with a numeric value in said mask; and

(c) substituting the calculated value determined in the immediately foregoing step for each pixel of the image on a line-by-line basis.

10. A method for enhancing IR satellite sensor cloud information for later presentation on a raster scan display screen comprising the steps of:

(a) sampling and storing two-dimensional, satellite image-coordinate, IR brightness count digital data streams from a geostationary orbit meteorological satellite into the memory of a general purpose digital computer;

(b) transforming said satellite image-coordinate IR brightness count digital data to Cartesian coordinate format in said digital computer;

(c) assembling grid-point locations within said predetermined geographical region from a plurality of publicly available sources and storing same in said memory;

(d) extrapolating the surface weather data assemble and stored in step (c) for each pixel location within said geographical region;

(e) retrieving current mandatory and significant level radiosonde temperature data;

(f) generating grids of radiosonde temperatures at predetermined levels in the atmosphere;

(g) retrieving National Meteorological Center forecast temperature grids at the predetermined levels established in step (f);

(h) computing a forecasted rate of change of temperature at each of said predetermined levels and at each of said grid-point locations;

(i) modifying the radiosonde temperatures at each of said predetermined levels and grid-point locations by the computer forecasted rate of change of temperature obtained in step (h) to yield a "current" grid-point value of temperature at altitudes intermediate said predetermined levels to yield a current temperature profile;

(j) extrapolating said "current" grip-point value of temperature at altitudes intermediate said predetermined levels to yield a current temperature profile;

(k) computing form the extrapolated data obtained in steps (d) and (j) the temperature of the Lifted Condensation Level at each of said pixel locations;

(l) determining from the computer temperatures of step (k) the presence or absence of clouds at each of said pixel locations;

(m) determining for each pixel location where clouds are determined to be present in step(1) a vertical temperature characteristics of said clouds at a plurality of altitudes;

(n) converting said vertical temperature characteristics of said clouds at each pixel location as determined by step (m) into digitally-encoded, multi-bit words representative of color shades at each of said plurality of elevations in a raster scan format; and

(o) presenting said digitally encoded color shade data on a video display terminal.

11. The method as in claim 10 wherein said step of computing the forecasted rate of change of temperature at each of said predetermined levels and at each of the grid-point locations comprising:

(a) determining the number of time periods of predetermined length within the time interval between successive National Meteorological Center forecast times;

(b) calculating the change in temperature from a first forecast to a next forecast at each of said grid-point locations and at least of said predetermined levels; and

(c) dividing the temperature change calculated in step (b) by the number of time periods determined in step (a).

12. The method of claim 10 and further including the step of eliminating temperature inversions within the "current" temperature profile developed in step (j).

13. The method as in claim 12 wherein said step of eliminating temperature inversions includes:

(a) comparing temperature at one predetermined level with temperature at a next higher extrapolated level to determine if temperature at said next higher extrapolated level is less than that at said one predetermined level; and

(b) determining if altitude of said one predetermined level is less than a predetermined fixed altitude value and, if so, changing the temperature at next high extrapolated value to that at said one predetermined level plus a first fixed temperature increment but if said altitude is greater than said predetermined fixed altitude changing the temperature at said next higher extrapolated value to that at said one predetermined level plus a second predetermined increment greater than said first predetermined increment.

14. The method as in claim 10 wherein step (n) comprises the further steps of:

(n-1) determining the cloud top height in feed at each of said grid-point locations

(n-2) setting the color value of cloud top to cloud top height/1000+12

(n-3) determining the could bottom height in feet at each of said grid-point locations

(n-4) setting the color value of the cloud bottom to cloud bottom height/1000+7

(n-5) setting intermediate cloud color values using linear interpolation between a top-of-cloud column color value and bottom-of-cloud column color value

(n-6) computing the thickness of each cloud column

(n-7) decrementing cloud bottom color value by a quantity that is proportional to a computed cloud thickness if said cloud bottom height is less than a predetermined minimum altitude above mean sea level.

15. The method as in claim 10 wherein step 1 comprises the steps of:

(1-1) calculating the temperature of lifted condensation level;

(1-2) establishing an air/cloud temperature cut-off;

(1-3) converting infrared radiance into black body temperature; and

(1-4) determining the presence of clouds from the temperature calculated in step (1-1) and the time of day.