This disclosure relates generally to the detection of ice or ice crystals in the atmosphere.
Hazardous weather is generally associated with convective weather cells. Convective weather cells can produce turbulence, high winds, lightning, hail, and other weather hazards. In addition, convective cells can provide large updrafts that loft large amounts of moisture to higher altitudes (e.g., high portions troposphere). The moisture can be super cooled liquid at temperatures much colder than the freezing point of water because the water was lofted quickly by the updraft and has not encountered condensation nuclei upon which to crystallize as ice.
Non-convective rain clouds (e.g., stratiform rain) can also include ice crystals. Non-convective rain clouds are striated with temperature. At low altitudes where the temperature is above the freezing point, liquid water is present as rain. At high altitudes where the temperature is below the freezing point, ice crystals form.
Conventional aircraft hazard weather radar systems, such as the WXR 2100 MultiScan™ radar system manufactured by Rockwell Collins, Inc., have Doppler capabilities and are capable of detecting at least four parameters: weather range, weather reflectivity, weather velocity, and weather spectral width or velocity variation. The weather reflectivity is typically scaled to green, yellow, and red color levels that are related to rainfall rate. The radar-detected radial velocity variation can be scaled to a turbulence level and displayed as magenta. Such weather radar systems can conduct vertical sweeps and obtain reflectivity parameters at various altitudes and can detect the presence of ice using reflectivity parameters and temperature. However, such detection of ice cannot be performed at longer ranges. In some embodiments, the radar may be a single frequency radar (e.g., X-band radar) or a multi-frequency radar (e.g., a radar with both X-band and Ka-band frequencies). In some embodiments, the single or multi-frequency radar may include polarization diversity capabilities.
Ice or ice crystal formation at high altitudes can pose various threats to aircraft. Flying through ice or ice crystal formation at high altitudes can cause engine roll back, engine stall, engine flameout, and incorrect airspeed measurements. Detecting areas of ice and ice crystal formation at longer ranges is desirable so that pilots can avoid such areas.
Thus, there is a need for a system and method for more accurate, long range detection of ice and/or ice crystals high in the troposphere. There is also a need for inferring the existence of ice and/or ice crystals based on the detection and analysis of convective cells or hazards associated therewith. There is also a need to distinguish highly convective ice crystal formation areas form non-convective stratiform rain areas that do not produce high altitude ice crystals. Further still, there is a need to detect and locate convective cells by measuring the amount of moisture (e.g., liquid water, such as total water content) present at altitudes where the temperature is below the freezing point. Yet further, there is a need for an aircraft hazard warning system optimized to determine the location and presence of large areas of high altitude ice resulting from convective cell blow off. Further, there is a need for an aircraft hazard warning system that includes inferential ice detection and location.
It would be desirable to provide a system and/or method that provides one or more of these or other advantageous features. Other features and advantages will be made apparent from the present specification. The teachings disclosed extend to those embodiments which fall within the scope of the appended claims, regardless of whether they accomplish one or more of the aforementioned needs.
One embodiment of the disclosure relates to an aircraft weather radar system. The aircraft weather radar system can include a radar antenna and a processor. The radar antenna receives radar returns and a processor. The processor can be configured for: 1. identifying on a display a region of potential ice associated with a blow off region in response to the radar returns, temperature data, and wind data; or 2. identifying on a display a region of potential ice associated with a stratiform region in response to radar returns, temperature data, and a history of convective cells in the stratiform region.
Another embodiment of the disclosure relates to a method of displaying an indication of a presence of ice on an aircraft display in an avionics system. The method includes receiving radar reflectivity data and temperature data and determining a presence of at least one stratiform rain area, determining whether at least one convective cell was present in the stratiform rain area, and providing the indication in response to a size of the stratiform rain area.
Another embodiment of the disclosure relates a method of displaying an indication of a presence of ice on an aircraft display in an avionics system. The method includes receiving radar reflectivity data and temperature data and determining a presence of at least one convective cell, and providing the indication at least in part in response to a wind parameter and a size of the convective cell.
Another embodiment relates to an aircraft hazard warning system. The aircraft hazard warning system includes a processing system for determining a presence of ice crystals. The processing system receives radar reflectivity data, and temperature data, and determines an ice crystal warning by: 1. determining a size of a convective cell using the radar reflectivity data, and temperature data and determining a blow off area associated with the convective cell in response to the size and a wind direction parameter, the blow off area being an area where ice crystals migrate due to wind; or 2. determining a size of a stratiform region and determining a presence of a convective cell previously in the stratiform region.
Another exemplary embodiment relates to an apparatus for determining a presence of a convective cell in an environment of an aircraft. The apparatus includes an input for radar reflectivity data and temperature data, and a processing system for determining the presence of the convective cell. The processing system receives the radar reflectivity data and the temperature data and determines the presence of the convective cell by determining an amount of liquid water present at altitudes above the freezing point.
Another exemplary embodiment relates to an aircraft warning system that provides a level of an icing condition on a display, the level can be one of two or more icing levels above no icing condition level.
The invention will become more fully understood from the following detailed description, taken in conjunction with the accompanying drawings, wherein like reference numerals refer to like elements, in which:
Before describing in detail the particular improved system and method, it should be observed that the invention includes, but is not limited to a novel structural combination of conventional data/signal processing components and communications circuits, and not in the particular detailed configurations thereof. Accordingly, the structure, methods, functions, control and arrangement of conventional components software, and circuits have, for the most part, been illustrated in the drawings by readily understandable block representations and schematic diagrams, in order not to obscure the disclosure with structural details which will be readily apparent to those skilled in the art, having the benefit of the description herein. Further, the invention is not limited to the particular embodiments depicted in the exemplary diagrams, but should be construed in accordance with the language in the claims.
An aircraft hazard warning system or other avionic system may infer or otherwise detect ice or ice crystals and provide a warning with respect to the geographical location and/or altitude of the ice crystals in one embodiment. The hazard warning system can detect blow off regions above convective regions as regions of inferred ice crystal detection in one embodiment. The hazard warning system can detect ice hazard regions associated with stratiform rain that follows convective cells in another embodiment. The system can combine direct detection of ice particles with inferred detection of ice particles to provide a unified indication of hazard. Alternatively, inferred detection of ice particles can use a different indication than direct detection.
The current regulatory environment as defined by governmental regulatory agencies supports display of basic radar sensor information as red, yellow, and green for radar reflectivity calibrated to rainfall rate and magenta as turbulence. The regulatory agencies do not currently provide guidance for changing the definition of the radar display based on inferred hazards. The radar display format may be selected to display radar colors consistent with turbulence and rainfall rate as currently defined by regulatory authorities or as defined in the future by such authorities. A hazard assessment indication can be provided in a manner that does not interfere with display of standard weather data. In one embodiment, a speckled yellow region is used for areas where ice is detected (directly or inferred) in a horizontal view and a vertical view on a weather radar display.
Referring to
Wind detector 23 can be part of processor 14 or separate from processor 14. Detector 23 provides a wind parameter. The wind parameter can be high altitude wind speed and direction data. The data can be calculated from track angle and heading of the aircraft, or be provided by the flight management system (FMS) or other navigation equipment. The wind parameter data can also be provided by a source remote from the aircraft.
In one embodiment, the hybrid approach of hazard warning system 10 correlates radar reflectivity and lightning data to overcome the shortcomings of the lightning strike inaccuracy. The hybrid approach determines lightning strike position relative to radar reflectivity measurements, with sufficient accuracy, to make a convective assessment on a weather event.
Processor 14 is generally configured to process data received from sensor inputs 12 to determine a hazard threat level, receive input from user input 18, and provide hazard indication on display 16. Processor 14 includes ice detector 28, convective cell detector 29, and cell tracker 30. Processor 14 can generate a velocity parameter 32 or other Doppler data, a spectral width parameter 34, a reflectivity parameter 36, and a range parameter 38 based on return data from sensor inputs 12, data or commands from user input 18, or data or instructions from memory 20. According to various exemplary embodiments, processor 14 can be any hardware and/or software processor or processing architecture capable of executing instructions and operating on data related to hazard detection. According to various exemplary embodiments, memory 20 can be any volatile or non-volatile memory capable of storing data and/or instructions related to hazard warning system 10.
Ice detector 28 is configured to provide inferred detection of regions of based upon the strength of a convective cell ice in one embodiment. In one embodiment, convective cell detector 29 uses vertical sweeps on weather cells to assess the vertical extent of moisture with respect to altitude. Air temperature data from sensor 26 (e.g., temperature measurements) can be used to assess air temperature with respect to altitude. Detector 29 can use the combination of reflectivity and temperature to determine the convective strength of the cell.
Temperature data can include a local atmospheric temperature, local temperature variations with time, local temperature variations with altitude, a remotely determined temperature, and/or remotely determined temperature gradients in either range or altitude. Detector 29 can receive data inputs derived from one or more of spectral width parameter 34, reflectivity parameter 36, and/or range parameter 38 to assess and locate convective cells.
Detector 28 can use the assessed convective strength of the cell to determine the updraft potential of the cell and hence, the potential of the cell to loft moisture high into the atmosphere where ice crystals form. Higher indications of reflectivity at higher altitudes and lower temperatures indicates a stronger cell and greater potential for ice formation. A specific reflectivity at an altitude where the temperature is at or below the freezing level may indicate the presence of a convective cell. Accordingly, areas above such cells are indicated as warning areas associated with ice. Weaker or smaller cells have less probability of up drafting moisture that forms ice.
In addition, processor 14 can use a direct measurement of spectral width, for example spectral width parameter 34, from radar antenna 22 to assess the strength of the convective cell. In one embodiment, processor 14 can use a hybrid approach of that correlates radar reflectivity and lightning data from detector 24 to make a convective assessment on a weather event.
The detection of lightning generally indicates the presence of a convective cell and of turbulence within the cell. Detection of a single lightning bolt can infer the presence of a convective cell. The use of lightning history data may provide a more accurate inferred convective cell assessment. If lighting history indicates a high lighting strike rate in a given cell the probability of convection with high magnitude within that cell is high.
Reflectivity parameter 36 can include data related to area reflectivity, gradient reflectivity, magnitude reflectivity, reflectivity shape, and/or a sharp change in reflectivity. Very high gradients (e.g., rapid changes from red to black to yellow) can indicate the presence of a convective cell and thus turbulence. According to one exemplary embodiment, the very high gradient may be a change in cell reflectivity within a few range bins (e.g., one nautical mile). According to another exemplary embodiment, the very high gradient may be a change in cell reflectivity within three nautical miles. In some embodiments, reflectivity information can be used to compute an area and/or volume of reflectivity, and the area and/or volume of reflectivity can be used to determine the convective level associated with the cell. In some embodiments, the volume of reflectivity may be translated into a Vertical Integrated Reflectivity measure. Further information regarding computation of areas and/or volumes of reflectivity can be found in the parent U.S. Patent Application titled “Weather Hazard Threat Level Computation and Display,” U.S. application Ser. No. 13/837,538 filed concurrently with the U.S. application Ser. No. 13/841,893, filed on Mar. 15, 2013, which is incorporated herein by reference in its entirety.
If a cell is detected to be growing at a very high rate, it may be a convective cell containing turbulence. If a cell is detected that has grown at a very high rate in the past, the cell may be convective and contain turbulence. For example, the growth may be detected by a vertical structure analysis. The vertical structure analysis data may include vertical height, vertical growth rate, a vertical history assessment, an assessment of whether the aircraft path will intersect a portion of a weather cell, and/or cell maturity data.
In one embodiment, detector 29 can determine the amount of liquid water at altitudes at temperatures below the freezing point as an indication of a strong convective cell. Amount of liquid can be detected using the reflectivity parameter. In this way, detector 29 can distinguish between non-convective and convective cells because convective cells cause larger amounts of super cooled water to be up drafted above the freezing point altitude.
Convective cell detector 29 can process at least one of parameters 34, 36, 38 and/or data from detector 24 to provide a convective hazard indication on display 16. In addition, detector 29 can cause system 10 to perform further analysis in response to information from lightning detector 24 and/or a parameter 34, 36, 38. The further analysis can even include causing system 10 to perform weather radar queuing and control in elevation and azimuth as well as examining new data or historical data.
After acquiring data from sensor inputs 12, processor 14 may use a variety of processing techniques to assess the ice hazard levels and regions. Processor 14 may identify and track relevant weather cells via cell tracker 30. The cells may be prioritized in terms of their threat to the aircraft and detailed vertical scans can be conducted on high priority targets. Tracker 30 can store a history of cell locations and cell characteristics including but not limited to cell strength, size, vertical height, vertical growth rate, and/or cell maturity data.
Ice detector 28 uses data associated with areas around convective cells and former convective cells to provide warnings related to the potential presence of ice or actual presence of ice. In one embodiment, ice detector 28 can advantageously detect large areas of high altitude ice resulting from convective blow off or from areas of old convection which are difficult to detect using conventional techniques. Ice in these areas is difficult to detect because convective cells are not necessarily located in the regions (e.g., areas of zero convectivity). Generally, it is more difficult to detect ice crystals with conventional techniques when the ice crystals are not being actively formed such as in blow off regions or stratiform rain regions.
Blow off regions are areas of ice presence due to ice crystals being blown from the top of a convective cell by high altitude winds. High altitude ice can also remain above old convective cells (no longer existing cells). A convective cell is an old convective cell if it existed over the region within a predetermined amount of time (e.g., past 5 minutes, past 10 minutes, etc.). Applicants believe that such high altitude ice is generally present over the area associated with old strong convective cells or multiple old convective cells that is occupied by stratiform rain clouds. The larger the stratiform rain area that follows the old convective cell and the more embedded cells of convectivity in the stratiform rain region, the higher the likelihood of presence of ice. Stored history of cell locations and characteristics can be used to identify whether an old convective cell existed in the region and its characteristics while in the region.
With reference to
At a step 204, the convective cell is assessed to determine if the cell has a potential for providing high altitude ice by detector 28. Generally, the larger and stronger the cell, the higher the probability of providing high altitude ice. High altitude ice can be directly sensed using radar returns in one embodiment. If there is a potential for high altitude ice formation, detector 28 determines a size and location of the blow off region at a step 206. If there is no or less potential for high altitude ice formation, processor 14 can return to step 202.
In some embodiments, the radar or avionics equipment may receive uplink or off-aircraft information regarding detected and/or forecast regions with icing or icing potential. The radar may be used to qualify or confirm the assessment by adjusting radar parameters when scanning the detected regions (e.g., gain, etc.), increasing the dwell time in those regions, performing additional scans in those regions, etc. The off-aircraft assessment may be used to increase the confidence in the icing assessment and be used to display an icing hazard warning in that region. In some embodiments, the uplink or remote information (e.g., from ground, other aircraft, satellite, etc.) may include an observation or forecast of one or more of weather information of interest, including icing potential, convective level, size, maturity, reflectivity, winds, temperature, etc. The information can be utilized in performing the icing threat assessment. The icing threat assessment and information originating on the aircraft for the icing assessment may also be down linked or sent to a ground station or off-aircraft system, so that the off-aircraft system can aggregate multiple aircraft observations for the development of a global icing map or global icing forecast that can then be uplinked to other aircraft in the vicinity or using the airspace in the future.
At step 206, detector 28 uses a high altitude wind parameter and the strength of the convective to determine the size and location of the blow off region. The size and location of the blow off region is determined from the wind speed and direction. The size is generally greater if the strength of the convective cell is greater and the wind speed is greater. At a step 210, the blow off region is displayed as a hazard or warning area. The blow off region can be displayed as a speckled yellow or red area, other color region, or with other symbols. After step 210, processor 14 can return to step 202. In some embodiments, an overshooting top may indicate a cell spreading out regardless of wind speed. For example, a cell could spread in all directions even if there is no significant wind or a downwind condition is present.
In some embodiments, the radar response may be received from a multi-frequency radar system, and the radar response from at least two frequencies may be compared to determine the likelihood of ice formation. The difference or ratio between the signals can be used to separate ice detection from traditional rain detection. For example, the larger the response differences from the two frequencies, the greater the likelihood is that the response is from icing.
In some embodiments, the radar response may be received from a polarization diversity radar system, and the radar response from at least two polarization diverse radar signals are compared. The difference or ratio between the signal may be used to separate ice detection from traditional rain detection. For example, the larger the ratio between the horizontal and vertical polarization radar signals, the greater the likelihood that the response is from icing.
In some embodiments, the icing assessment may not be binary (i.e., may not be merely “ice threat” or “no ice threat”). The icing assessment may include a scaled assessment, such that the icing threat potential is identified as one of several levels (e.g., low/medium/high, number on a numerical scale, etc.). In some embodiments, colors, shading, patterns, symbols, icons, etc. used to display the icing threat may be mapped to the different graduated icing levels.
In some embodiments, the icing assessment may be predictive. Weather information associated with a region may indicate an increasing likelihood of icing or may indicate a weather trend that, if it continues, may result in the region experiencing some icing at a future time. In some embodiments, prediction based on regional weather information and/or weather trends may be utilized, alone or in combination with other factors described herein, to provide a predictive icing assessment. In some embodiments, colors, shading, patterns, symbols, icons, etc. may be used to indicate that a displayed threat is related to a predictive icing assessment.
With reference to
At a step 304, the area associated with the stratiform rain is analyzed to determine whether a convective cell or front of convective cells existed within a predetermined time. Detector 29 can use cell tracker to determine whether an old convective cell existed in the region of interest. For example, a Midwestern United States squall line can produce convective cells behind the squall line in areas of stratiform rain. A high density of these conductive cell indicates a higher probability of ice regions.
If an old convective cell existed, processor 14 advances to a step 306 and detector 28 determines an ice region based upon the size of the stratiform rain and the number of old convective cells associated with the region. If an old convective cell did not exist, processor 14 returns to step 302. The size of a cell is generally directly proportional to the age/longevity or maturity of the cell.
Generally, the larger the stratiform rain region and the more embedded cells, the larger region of potential ice crystals. Detector 28 can determines a size and location of the ice region using wind data.
At a step 310, the ice region is displayed as a hazard or warning area. The ice region can be displayed as a speckled yellow area, other color region, or with other symbols or icons. After step 310, processor 14 can return to step 302.
With reference to
According to various exemplary embodiments, methods 200, 300 and 400 of
While the detailed drawings, specific examples, detailed algorithms and particular configurations given describe preferred and exemplary embodiments, they serve the purpose of illustration only. The inventions disclosed are not limited to the specific forms shown. For example, the methods may be performed in any of a variety of sequence of steps or according to any of a variety of mathematical formulas. The hardware and software configurations shown and described may differ depending on the chosen performance characteristics and physical characteristics of the weather radar and processing devices. For example, the type of system components and their interconnections may differ. The systems and methods depicted and described are not limited to the precise details and conditions disclosed. The flow charts show preferred exemplary operations only. The specific data types and operations are shown in a non-limiting fashion. Furthermore, other substitutions, modifications, changes, and omissions may be made in the design, operating conditions, and arrangement of the exemplary embodiments without departing from the scope of the invention as expressed in the appended claims.
Some embodiments within the scope of the present disclosure may include program products comprising machine-readable storage media for carrying or having machine-executable instructions or data structures stored thereon. Such machine-readable storage media can be any available media which can be accessed by a general purpose or special purpose computer or other machine with a processor. By way of example, such machine-readable storage media can include RAM, ROM, EPROM, EEPROM, CD ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store desired program code in the form of machine-executable instructions or data structures and which can be accessed by a general purpose or special purpose computer or other machine with a processor. Combinations of the above are also included within the scope of machine-readable storage media. Machine-executable instructions include, for example, instructions and data which cause a general purpose computer, special purpose computer, or special purpose processing machine to perform a certain function or group of functions. Machine or computer-readable storage media, as referenced herein, do not include transitory media (i.e., signals in space).
The present application is a continuation-in-part of U.S. application Ser. No. 13/841,893, now U.S. Pat. No. 9,244,166, filed on Mar. 15, 2013, which is related to U.S. application Ser. No. 13/717,052, now U.S. Pat. No. 9,395,438, filed on Dec. 17, 2012, which is a Continuation of U.S. application Ser. No. 12/075,103, now U.S. Pat. No. 8,902,100, filed on Mar. 7, 2008, entitled “SYSTEM AND METHOD FOR TURBULENCE DETECTION” by Woodell et al., and the present application is also a continuation in-part of U.S. patent application Ser. Nos. 14/206,239, 14/207,034, and 14/206,651 all of which are incorporated herein by reference in their entireties and assigned to the Assignee of the present application. U.S. patent application Ser. No. 11/370,085, now U.S. Pat. No. 7,515,087, U.S. patent application Ser. No. 11/402,434, now U.S. Pat. No. 7,486,219, U.S. patent application Ser. No. 11/256,845, now U.S. Pat. No. 7,598,902, and U.S. patent application Ser. No. 10/631,253 now U.S. Pat. No. 7,129,885 are herein incorporated by reference in their entireties.
Number | Name | Date | Kind |
---|---|---|---|
650275 | Reeve | May 1900 | A |
3251057 | Buehler et al. | May 1966 | A |
3359557 | Fow et al. | Dec 1967 | A |
3404396 | Buchler et al. | Oct 1968 | A |
3465339 | Marner | Sep 1969 | A |
3491358 | Hicks | Jan 1970 | A |
3508259 | Andrews | Apr 1970 | A |
3540829 | Collinson et al. | Nov 1970 | A |
3567915 | Altshuler et al. | Mar 1971 | A |
3646555 | Atlas | Feb 1972 | A |
3715748 | Hicks | Feb 1973 | A |
3764719 | Dell | Oct 1973 | A |
3781530 | Britland et al. | Dec 1973 | A |
3781878 | Kirkpatrick | Dec 1973 | A |
3803609 | Lewis et al. | Apr 1974 | A |
3885237 | Kirkpatrick | May 1975 | A |
3943511 | Evans et al. | Mar 1976 | A |
3964064 | Brandao et al. | Jun 1976 | A |
3968490 | Gostin | Jul 1976 | A |
4015257 | Fetter | Mar 1977 | A |
4043194 | Tanner | Aug 1977 | A |
4223309 | Payne | Sep 1980 | A |
4283715 | Choisnet | Aug 1981 | A |
4283725 | Chisholm | Aug 1981 | A |
4318100 | Shimizu et al. | Mar 1982 | A |
4346595 | Frosch et al. | Aug 1982 | A |
4430654 | Kupfer | Feb 1984 | A |
4435707 | Clark | Mar 1984 | A |
4459592 | Long | Jul 1984 | A |
4533915 | Lucchi et al. | Aug 1985 | A |
4555703 | Cantrell | Nov 1985 | A |
4600925 | Alitz et al. | Jul 1986 | A |
4613938 | Hansen et al. | Sep 1986 | A |
4649388 | Atlas | Mar 1987 | A |
4658255 | Nakamura et al. | Apr 1987 | A |
4684950 | Long | Aug 1987 | A |
4742353 | D'Addio et al. | May 1988 | A |
4761650 | Masuda et al. | Aug 1988 | A |
4835536 | Piesinger et al. | May 1989 | A |
RE33152 | Atlas | Jan 1990 | E |
4914444 | Pifer et al. | Apr 1990 | A |
4928131 | Onozawa | May 1990 | A |
4940987 | Frederick | Jul 1990 | A |
5028929 | Sand | Jul 1991 | A |
5036334 | Henderson et al. | Jul 1991 | A |
5049886 | Seitz et al. | Sep 1991 | A |
5057820 | Markson et al. | Oct 1991 | A |
5077558 | Kuntman | Dec 1991 | A |
5105191 | Keedy | Apr 1992 | A |
5159407 | Churnside et al. | Oct 1992 | A |
5164731 | Borden et al. | Nov 1992 | A |
5173704 | Buehler et al. | Dec 1992 | A |
5177487 | Taylor et al. | Jan 1993 | A |
5198819 | Susnjara | Mar 1993 | A |
5202690 | Frederick | Apr 1993 | A |
5208600 | Rubin | May 1993 | A |
5221924 | Wilson, Jr. | Jun 1993 | A |
5262773 | Gordon | Nov 1993 | A |
5291208 | Young | Mar 1994 | A |
5296865 | Lewis | Mar 1994 | A |
5311183 | Mathews et al. | May 1994 | A |
5311184 | Kuntman | May 1994 | A |
5331330 | Susnjara | Jul 1994 | A |
5396220 | Markson et al. | Mar 1995 | A |
5402116 | Ashley | Mar 1995 | A |
5469168 | Anderson | Nov 1995 | A |
5479173 | Yoshioka et al. | Dec 1995 | A |
5485157 | Long | Jan 1996 | A |
5517193 | Allison et al. | May 1996 | A |
5521603 | Young | May 1996 | A |
5534868 | Gjessing | Jul 1996 | A |
5568151 | Merritt | Oct 1996 | A |
5583972 | Miller | Dec 1996 | A |
5592171 | Jordan | Jan 1997 | A |
5602543 | Prata et al. | Feb 1997 | A |
5615118 | Frank | Mar 1997 | A |
5648782 | Albo et al. | Jul 1997 | A |
5654700 | Prata et al. | Aug 1997 | A |
5657009 | Gordon | Aug 1997 | A |
5686919 | Jordan et al. | Nov 1997 | A |
5726656 | Frankot | Mar 1998 | A |
5757322 | Ray et al. | May 1998 | A |
5771020 | Markson et al. | Jun 1998 | A |
5828332 | Frederick | Oct 1998 | A |
5838239 | Stern et al. | Nov 1998 | A |
5839080 | Muller et al. | Nov 1998 | A |
5907568 | Reitan, Jr. | May 1999 | A |
5920276 | Frederick | Jul 1999 | A |
5945926 | Ammar et al. | Aug 1999 | A |
5973635 | Albo | Oct 1999 | A |
6034760 | Rees | Mar 2000 | A |
6043756 | Bateman et al. | Mar 2000 | A |
6043757 | Patrick | Mar 2000 | A |
6081220 | Fujisaka et al. | Jun 2000 | A |
6138060 | Conner et al. | Oct 2000 | A |
6154151 | McElreath et al. | Nov 2000 | A |
6154169 | Kuntman | Nov 2000 | A |
6177873 | Cragun | Jan 2001 | B1 |
6184816 | Zheng et al. | Feb 2001 | B1 |
6201494 | Kronfeld | Mar 2001 | B1 |
6208284 | Woodell et al. | Mar 2001 | B1 |
6236351 | Conner et al. | May 2001 | B1 |
6240369 | Foust | May 2001 | B1 |
6246367 | Markson et al. | Jun 2001 | B1 |
6281832 | McElreath | Aug 2001 | B1 |
6289277 | Feyereisen et al. | Sep 2001 | B1 |
6297772 | Lewis | Oct 2001 | B1 |
6340946 | Wolfson et al. | Jan 2002 | B1 |
6377202 | Kropfli | Apr 2002 | B1 |
6377207 | Solheim et al. | Apr 2002 | B1 |
6381538 | Robinson et al. | Apr 2002 | B1 |
6388607 | Woodell | May 2002 | B1 |
6388608 | Woodell et al. | May 2002 | B1 |
RE37725 | Yamada | Jun 2002 | E |
6405134 | Smith et al. | Jun 2002 | B1 |
6424288 | Woodell | Jul 2002 | B1 |
6441773 | Kelly et al. | Aug 2002 | B1 |
6456226 | Zheng et al. | Sep 2002 | B1 |
6480142 | Rubin | Nov 2002 | B1 |
6496252 | Whiteley | Dec 2002 | B1 |
6501392 | Gremmert et al. | Dec 2002 | B2 |
6512476 | Woodell | Jan 2003 | B1 |
6518914 | Peterson et al. | Feb 2003 | B1 |
6549161 | Woodell | Apr 2003 | B1 |
6560538 | Schwinn et al. | May 2003 | B2 |
6563452 | Zheng et al. | May 2003 | B1 |
6577947 | Kronfeld et al. | Jun 2003 | B1 |
6590520 | Steele et al. | Jul 2003 | B1 |
6597305 | Szeto et al. | Jul 2003 | B2 |
6603425 | Woodell | Aug 2003 | B1 |
6606564 | Schwinn et al. | Aug 2003 | B2 |
6614382 | Cannaday et al. | Sep 2003 | B1 |
6650275 | Kelly et al. | Nov 2003 | B1 |
6650972 | Robinson et al. | Nov 2003 | B1 |
6667710 | Cornell et al. | Dec 2003 | B2 |
6670908 | Wilson et al. | Dec 2003 | B2 |
6677886 | Lok | Jan 2004 | B1 |
6683609 | Thompson et al. | Jan 2004 | B1 |
6690317 | Szeto et al. | Feb 2004 | B2 |
6703945 | Kuntman et al. | Mar 2004 | B2 |
6720906 | Szeto et al. | Apr 2004 | B2 |
6738010 | Steele et al. | May 2004 | B2 |
6741203 | Woodell | May 2004 | B1 |
6744382 | Lapis et al. | Jun 2004 | B1 |
6771207 | Lang | Aug 2004 | B1 |
6788043 | Murphy et al. | Sep 2004 | B2 |
6791311 | Murphy et al. | Sep 2004 | B2 |
6828922 | Gremmert et al. | Dec 2004 | B1 |
6828923 | Anderson | Dec 2004 | B2 |
6839018 | Szeto et al. | Jan 2005 | B2 |
6850185 | Woodell | Feb 2005 | B1 |
6856908 | Devarasetty et al. | Feb 2005 | B2 |
6879280 | Bull et al. | Apr 2005 | B1 |
6882302 | Woodell et al. | Apr 2005 | B1 |
6917860 | Robinson et al. | Jul 2005 | B1 |
6977608 | Anderson et al. | Dec 2005 | B1 |
7030805 | Ormesher et al. | Apr 2006 | B2 |
7042387 | Ridenour et al. | May 2006 | B2 |
7082382 | Rose et al. | Jul 2006 | B1 |
7109912 | Paramore et al. | Sep 2006 | B1 |
7109913 | Paramore et al. | Sep 2006 | B1 |
7116266 | Vesel et al. | Oct 2006 | B1 |
7129885 | Woodell et al. | Oct 2006 | B1 |
7132974 | Christianson | Nov 2006 | B1 |
7139664 | Kelly et al. | Nov 2006 | B2 |
7145503 | Abramovich et al. | Dec 2006 | B2 |
7161525 | Finley | Jan 2007 | B1 |
7200491 | Rose et al. | Apr 2007 | B1 |
7205928 | Sweet | Apr 2007 | B1 |
7242343 | Woodell | Jul 2007 | B1 |
7259714 | Cataldo | Aug 2007 | B1 |
7292178 | Woodell et al. | Nov 2007 | B1 |
7307576 | Koenigs | Dec 2007 | B1 |
7307577 | Kronfeld et al. | Dec 2007 | B1 |
7307583 | Woodell et al. | Dec 2007 | B1 |
7307586 | Peshlov et al. | Dec 2007 | B2 |
7307756 | Walmsley | Dec 2007 | B2 |
7352317 | Finley et al. | Apr 2008 | B1 |
7352929 | Hagen et al. | Apr 2008 | B2 |
7365674 | Tillotson et al. | Apr 2008 | B2 |
7372394 | Woodell et al. | May 2008 | B1 |
7383131 | Wey et al. | Jun 2008 | B1 |
7417578 | Woodell et al. | Aug 2008 | B1 |
7417579 | Woodell | Aug 2008 | B1 |
7427943 | Kronfeld et al. | Sep 2008 | B1 |
7471995 | Robinson | Dec 2008 | B1 |
7486219 | Woodell et al. | Feb 2009 | B1 |
7486220 | Kronfeld et al. | Feb 2009 | B1 |
7492304 | Woodell et al. | Feb 2009 | B1 |
7492305 | Woodell et al. | Feb 2009 | B1 |
7515087 | Woodell et al. | Apr 2009 | B1 |
7515088 | Woodell | Apr 2009 | B1 |
7528613 | Thompson et al. | May 2009 | B1 |
7541971 | Woodell et al. | Jun 2009 | B1 |
7557735 | Woodell et al. | Jul 2009 | B1 |
7576680 | Woodell | Aug 2009 | B1 |
7581441 | Barny et al. | Sep 2009 | B2 |
7598901 | Tillotson et al. | Oct 2009 | B2 |
7598902 | Woodell et al. | Oct 2009 | B1 |
7633428 | McCusker | Dec 2009 | B1 |
7633431 | Wey et al. | Dec 2009 | B1 |
7664601 | Daly, Jr. | Feb 2010 | B2 |
7696921 | Finley et al. | Apr 2010 | B1 |
7714767 | Kronfeld et al. | May 2010 | B1 |
7728758 | Varadarajan et al. | Jun 2010 | B2 |
7733264 | Woodell et al. | Jun 2010 | B1 |
7859448 | Woodell et al. | Dec 2010 | B1 |
7868811 | Woodell et al. | Jan 2011 | B1 |
7907342 | Simmonds et al. | Mar 2011 | B2 |
7917255 | Finley | Mar 2011 | B1 |
7973698 | Woodell et al. | Jul 2011 | B1 |
7982658 | Kauffman et al. | Jul 2011 | B2 |
8022859 | Bunch et al. | Sep 2011 | B2 |
8054214 | Bunch | Nov 2011 | B2 |
8072368 | Woodell | Dec 2011 | B1 |
8081106 | Yannone | Dec 2011 | B2 |
8089391 | Woodell et al. | Jan 2012 | B1 |
8098188 | Costes et al. | Jan 2012 | B2 |
8111186 | Bunch et al. | Feb 2012 | B2 |
8159369 | Koenigs et al. | Apr 2012 | B1 |
8217828 | Kirk | Jul 2012 | B2 |
8228227 | Bunch et al. | Jul 2012 | B2 |
8314730 | Musiak et al. | Nov 2012 | B1 |
8601864 | Eilts | Dec 2013 | B1 |
8902100 | Woodell et al. | Dec 2014 | B1 |
9019146 | Finley et al. | Apr 2015 | B1 |
9134418 | Kronfeld et al. | Sep 2015 | B1 |
20020039072 | Gremmert et al. | Apr 2002 | A1 |
20030001770 | Cornell et al. | Jan 2003 | A1 |
20030025627 | Wilson et al. | Feb 2003 | A1 |
20030117311 | Funai | Jun 2003 | A1 |
20040239550 | Daly, Jr. | Dec 2004 | A1 |
20050049789 | Kelly et al. | Mar 2005 | A1 |
20060036366 | Kelly et al. | Feb 2006 | A1 |
20070005249 | Dupree et al. | Jan 2007 | A1 |
20070152867 | Randall | Jul 2007 | A1 |
20080158049 | Southard et al. | Jul 2008 | A1 |
20090219197 | Bunch | Sep 2009 | A1 |
20100019938 | Bunch | Jan 2010 | A1 |
20100042275 | Kirk | Feb 2010 | A1 |
20100110431 | Ray | May 2010 | A1 |
20100194628 | Christianson et al. | Aug 2010 | A1 |
20100201565 | Khatwa | Aug 2010 | A1 |
20100245164 | Kauffman | Sep 2010 | A1 |
20100245165 | Kauffman | Sep 2010 | A1 |
20110148692 | Christianson | Jun 2011 | A1 |
20110148694 | Bunch | Jun 2011 | A1 |
20110187588 | Khatwa | Aug 2011 | A1 |
20120029786 | Calandra et al. | Feb 2012 | A1 |
20120133551 | Pujol et al. | May 2012 | A1 |
20120139778 | Bunch et al. | Jun 2012 | A1 |
20130226452 | Watts | Aug 2013 | A1 |
20130234884 | Bunch | Sep 2013 | A1 |
20140039734 | Ramaiah | Feb 2014 | A1 |
20140176362 | Sneed | Jun 2014 | A1 |
20140362088 | Veillette et al. | Dec 2014 | A1 |
Number | Date | Country |
---|---|---|
1 329 738 | Jul 2003 | EP |
2658617 | Aug 1991 | FR |
WO-9807047 | Feb 1998 | WO |
WO-9822834 | May 1998 | WO |
WO-03005060 | Jan 2003 | WO |
WO-2009137158 | Nov 2009 | WO |
Entry |
---|
U.S. Appl. No. 12/075,103, filed Mar. 7, 2008, Woodell et al. |
U.S. Appl. No. 13/246,769, filed Sep. 27, 2011, Rockwell Collins. |
U.S. Appl. No. 13/717,052, filed Dec. 17, 2012, Woodell et al. |
U.S. Appl. No. 13/841,893, filed Mar. 15, 2013, Rockwell Collins, Inc. |
U.S. Appl. No. 13/919,406, filed Jun. 17, 2013, Rockwell Collins, Inc. |
U.S. Appl. No. 14/086,844, filed Nov. 21, 2013, Rockwell Collins, Inc. |
U.S. Appl. No. 14/206,239, filed Mar. 12, 2014, Rockwell Collins. |
U.S. Appl. No. 14/206,651, filed Mar. 12, 2014, Rockwell Collins, Inc. |
U.S. Appl. No. 14/207,034, filed Mar. 12, 2014, Rockwell Collins, Inc. |
3-D Weather Hazard and Avoidance System, Honeywell InteVue Brochure dated Nov. 2008, 4 pages. |
Advisory Action for U.S. Appl. No. 12/075,103, dated Feb. 13, 2013, 3 pages. |
Advisory Action for U.S. Appl. No. 12/075,103, dated Nov. 8, 2010, 3 pages. |
Advisory Action for U.S. Appl. No. 12/075,103, dated Oct. 15, 2010, 3 pages. |
Bovith et al., Detecting Weather Radar Clutter by Information Fusion with Satellite Images and Numerical Weather Prediction Model Output; Jul. 31-Aug. 4, 2006, 4 pages. |
Burnham et al., Thunderstorm Turbulence and Its Relationship to Weather Radar Echoes, J. Aircraft, Sep.-Oct. 1969, 8 pages. |
Corridor Integrated Weather System (CIWS), www.11.mit.edu/mission/aviation/faawxsystems/ciws.html, 3 pages. |
Decision on Appeal for Inter Parties Reexamination Control No. 95/001,860, dated Oct. 17, 2014, 17 pages. |
Doviak et al., Doppler Radar and Weather Observations, 1984, 298 pages. |
Dupree et al.,FAA Tactical Weather Forecasting in the United States National Airspace, Proceedings from the World Weather Research Symposium on Nowcasting and Very Short Term Forecasts, Toulouse, France, 2005, 29 pages. |
Final Office Action on U.S. Appl. No. 12/892,663 dated Mar. 7, 2013, 13 pages. |
Final Office Action on U.S. Appl. No. 13/238,606 dated Apr. 1, 2014, 11 pages. |
Final Office Action on U.S. Appl. No. 13/238,606 dated Jan. 22, 2015, 6 pages. |
Final Office Action on U.S. Appl. No. 13/246,769 dated Sep. 16, 2014, 18 pages. |
Goodman et al., LISDAD Lightning Observations during the Feb. 22-23, 1998 Central Florida Tornado Outbreak, http:www.srh.noaa.gov/topics/attach/html/ssd98-37.htm, Jun. 1, 1998, 5 pages. |
Greene et al., Vertically Integrated Liquid Water—A New Analysis Tool, Monthly Weather Review, Jul. 1972, 5 pages. |
Hodanish, Integration of Lightning Detection Systems in a Modernized National Weather Service Office, http://www.srh.noaa.gov/mlb/hoepub.html, retrieved on Aug. 6, 2007, 5 pages. |
Honeywell, RDR-4B Forward Looking Windshear Detection/Weather Radar System User's Manual with Radar Operation Guidelines, Jul. 2003. |
Keith, Transport Category Airplane Electronic Display Systems, Jul. 16, 1987, 34 pages. |
Klingle-Wilson et al., Description of Corridor Integrated Weather System (CIWS) Weather Products, Aug. 1, 2005, 120 pages. |
Kuntman et al, Turbulence Detection and Avoidance System, Flight Safety Foundation 53rd International Air Safety Seminar (IASS), Oct. 29, 2000. |
Kuntman, Airborne System to Address Leading Cause of Injuries in Non-Fatal Airline Accidents, ICAO Journal, Mar. 2000. |
Kuntman, Satellite Imagery: Predicting Aviation Weather Hazards, ICAO Journal, Mar. 2000, 4 pps. |
Meteorological/KSC/L71557/Lighting Detection and Ranging (LDAR), Jan. 2002, 12 pages. |
Nathanson, Fred E., “Radar and Its Composite Environment,” Radar Design Principles, Signal Processing and the Environment, 1969, 5 pages, McGraw-Hill Book Company, New York et al. |
Non-Final Office Action on U.S. Appl. No. 14/452,235 dated Apr. 23, 2015, 9 pages. |
Non-Final Office Action on U.S. Appl. No. 14/681,901 dated Jun. 17, 2015, 21 pages. |
Non-Final Office Action on U.S. Appl. No. 12/892,663 dated May 29, 2013, 14 pages. |
Non-Final Office Action on U.S. Appl. No. 13/238,606 dated Jul. 8, 2014, 12 pages. |
Non-Final Office Action on U.S. Appl. No. 13/238,606 dated Sep. 23, 2013, 15 pages. |
Non-Final Office Action on U.S. Appl. No. 13/717,052 dated Feb. 11, 2015, 15 pages. |
Non-Final Office Action on U.S. Appl. No. 13/717,052 dated Sep. 9, 2014, 8 pages. |
Non-Final Office Action on U.S. Appl. No. 13/841,893 dated Jun. 22, 2015, 27 pages. |
Non-Final Office Action on U.S. Appl. No. 13/913,100 dated May 4, 2015, 25 pages. |
Non-Final Office Action on U.S. Appl. No. 13/919,406 dated Jul. 14, 2015, 23 pages. |
Notice of Allowance for U.S. Appl. No. 10/631,253, dated Jul. 28, 2005, 7 pages. |
Notice of Allowance for U.S. Appl. No. 11/256,845, dated May 27, 2009, 7 pages. |
Notice of Allowance for U.S. Appl. No. 11/370,085, dated Dec. 30, 2008, 6 pages. |
Notice of Allowance for U.S. Appl. No. 11/402,434, dated Nov. 4, 2008, 6 pages. |
Notice of Allowance for U.S. Appl. No. 12/474,102, dated Jan. 20, 2012, 6 pages. |
Notice of Allowance on U.S. Appl. No. 12/075,103 dated Aug. 4, 2014, 10 pages. |
Notice of Allowance on U.S. Appl. No. 13/246,769 dated Jan. 8, 2015, 10 pages. |
Notice of Allowance on U.S. Appl. No. 13/707,438 dated Feb. 25, 2015, 11 pages. |
Office Action for U.S. Appl. No. 11/256,845, dated Aug. 21, 2007, 4 pages. |
Office Action for U.S. Appl. No. 10/631,253, dated Jan. 14, 2004, 5 pages. |
Office Action for U.S. Appl. No. 10/631,253, dated Jun. 30, 2004, 4 pages. |
Office Action for U.S. Appl. No. 11/256,845, dated Dec. 5, 2006, 5 pages. |
Office Action for U.S. Appl. No. 11/256,845, dated Jul. 28, 2008, 5 pages. |
Office Action for U.S. Appl. No. 11/256,845, dated Jun. 22, 2006, 5 pages. |
Office Action for U.S. Appl. No. 11/370,085, dated Aug. 15, 2007, 10 pages. |
Office Action for U.S. Appl. No. 11/370,085, dated Dec. 4, 2007, 13 pages. |
Office Action for U.S. Appl. No. 11/370,085, dated Oct. 9, 2008, 5 pages. |
Office Action for U.S. Appl. No. 11/402,434, dated Jul. 17, 2008, 5 pages. |
Office Action for U.S. Appl. No. 11/402,434, dated Mar. 29, 2007, 8 pages. |
Office Action for U.S. Appl. No. 11/402,434, dated Oct. 26, 2006, 7 pages. |
Office Action for U.S. Appl. No. 11/402,434, dated Sep. 20, 2007, 7 pages. |
Office Action for U.S. Appl. No. 12/075,103, dated Feb. 26, 2010, 11 pages. |
Office Action for U.S. Appl. No. 12/075,103, dated Jul. 29, 2010, 7 pages. |
Office Action for U.S. Appl. No. 12/075,103, dated Jun. 20, 2012, 5 pages. |
Office Action for U.S. Appl. No. 12/075,103, dated Nov. 29, 2012, 6 pages. |
Office Action for U.S. Appl. No. 12/474,102, dated Sep. 7, 2011, 8 pages. |
Office Action for U.S. Appl. No. 12/892,663, dated Oct. 22, 2012, 12 pages. |
Office Action for U.S. Appl. No. 13/717,052, dated Aug. 22, 2013, 15 pages. |
Office Action on U.S. Appl. No. 12/075,103 dated Apr. 9, 2014, 5 pages. |
Office Action on U.S. Appl. No. 12/075,103 dated Jul. 31, 2013, 8 pages. |
Office Action on U.S. Appl. No. 13/246,769 dated Apr. 21, 2014, 18 pages. |
Office Action on U.S. Appl. No. 13/717,052 dated Dec. 23, 2013, 7 pages. |
Pessi et al., On the Relationship Between Lightning and Convective Rainfall Over the Central Pacific Ocean, date unknown, 9 pages. |
RDR-4B Honeywell User Manual for Forward Looking Windshear Detection/Weather Radar System, Rev. 6, Jul. 2003, 106 pps. |
Robinson et al., En Route Weather Depiction Benefits of the Nexrad Vertically Integrated Liquid Water Product Utilized by the Corridor Integrated Weather System, 10th Conference on Aviation, Range, and Aerospace Meteorology (ARAM), 2002, 4 pages. |
Stormscope Lightning Detection Systems, L3 Avionics Systems, retrieved on Jul. 11, 2011, 6 pages. |
TOA Technology, printed from website: http://www.toasystems.com/technology.html on Dec. 29, 2010, 2 pages. |
Triangulation, from Wikipedia, printed from website: http://en.wikipedia.org/wiki/Triangulation on Dec. 29, 2010, 6 pages. |
U.S. Office Action on U.S. Appl. No. 13/717,052 dated Mar. 27, 2014, 6 pages. |
Waldvogel et al., The Kinetic Energy of Hailfalls. Part I: Hailstone Spectra, Journal of Applied Meteorology, Apr. 1978, 8 pages. |
Wilson et al., The Complementary Use of Titan-Derived Radar and Total Lightning Thunderstorm Cells, paper presented on Oct. 16, 2005, 10 pages. |
Zipser et al., The Vertical Profile of Radar Reflectivity and Convective Cells: A Strong Indicator of Storm Intensity and Lightning Probability? America Meteorological Society, 1994, 9 pages. |
Final Office Action on U.S. Appl. No. 14/206,239 dated Oct. 13, 2016, 17 pages. |
Final Office Action on U.S. Appl. No. 14/206,651 dated Dec. 8, 2016, 14 pages. |
Final Office Action on U.S. Appl. No. 14/207,034 dated Oct. 13, 2016, 15 pages. |
Non-Final Office Action on U.S. Appl. No. 14/206,239 dated Jun. 16, 2016, 12 pages. |
Non-Final Office Action on U.S. Appl. No. 14/206,651 dated Jun. 23, 2016, 12 pages. |
Non-Final Office Action on U.S. Appl. No. 14/207,034 dated Jun. 23, 2016, 14 pages. |
Notice of Allowance on U.S. Appl. No. 15/287,673 dated Nov. 18, 2016, 8 pages. |
Number | Date | Country | |
---|---|---|---|
Parent | 13841893 | Mar 2013 | US |
Child | 14977084 | US | |
Parent | 14206651 | Mar 2014 | US |
Child | 13841893 | US | |
Parent | 14207034 | Mar 2014 | US |
Child | 14206651 | US | |
Parent | 14206239 | Mar 2014 | US |
Child | 14207034 | US |