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IN-FLIGHT ICING CONDITIONS IN CLOUDS
SLD are dangerous because they can collect and freeze almost anywhere on an aircraft's wing—creating a rough ice surface, which quickly increases drag and can cause a relatively serious degradation in aircraft performance. Furthermore, unlike freezing rain, SLD can form anywhere in a cloud making them harder to detect. Freezing rain, on the other hand, tends to form a smoother coating, causing less drag. Tiny cloud droplets (< 0.05 mm) accrete on the leading edge of an aircraft's wing, where the ice can be shed by properly equipped aircraft (unless the amount of liquid water in the cloud is excessive). Because SLD creates a primary icing hazard for in-flight aircraft, a SLD remote sensing detection technology was needed—and NOAA's Environmental Technology Laboratory has the solution.
Aircraft icing hazards due to SLD (and smaller cloud droplets) are particularly challenging because they are notoriously difficult to forecast and there is no operational weather surveillance technology currently available to detect this hazard. The importance of SLD was first recognized in the 1980's from measurements made by research aircraft. By the mid-1990's, SLD became a focus of a FAA-sponsored international conference of aircraft in-flight icing. Based on this conference, there was consensus that the development of remote-sensing methods to detect SLD was a high-priority. Fortunately, NOAA's ETL was already on track to address this challenge.
Specifically, NOAA's ETL was able to combine several technologies to address this problem. First, it had already developed the "microwave radiometer" technology needed to continuously measure the amount of liquid water in clouds overhead. Secondly, it developed radar techniques to distinguish between harmless ice crystals and hazardous SLD for the FAA in a series of Winter Icing and Storms Projects (WISP) that culminated in 1999 with the Mount Washington Icing Sensors Project (MWISP). Because ice crystals form with diverse shapes (see figure above right), they settle through the air with preferred orientations. SLD and the smaller cloud droplets, on the other hand, are spherical and have no preferred orientation. Knowing this, NOAA's ETL was able to use dual-polarization radar to measure the differences between cloud populations of the highly "oriented," harmless ice crystals and the hazardous SLD—a distinction that cannot be made by measuring ordinary radar reflectivity. Specifically, NOAA's ETL could use the depolarization (or "decomposition") of a radar signal—which occurs uniquely according to the shape, density and orientation of ice crystals in the cloud to differentiate between these two types of cloud particle populations.
System Advantages
System Applications
NOAA's ETL hopes to construct the GRIDS prototype in time for testing during the Second Alliance Icing Research Study (AIRS-II), an international project planned for the winter of 2003-2004 in Montreal, Canada. NOAA's ETL scientists hope to not only demonstrate the core 24/7 GRIDS capability for detecting icing conditions, but also the other potential advantages and applications of the system. The system, for example, offers a viable upgrade to the ETL-designed millimeter cloud radars (MMCRs) used at the Department of Energy's Clouds and Radiation Testbed (CART) sites (i.e., remote areas from tropical islands to the Arctic requiring long term, unattended, continuously-operating radar for highly sensitive cloud detection). The GRIDS radar will be as robust as, and a hundred times more sensitive than, the MMCR. So it is expected to detect those nearly invisible cirrus clouds that are so important to the radiation budget, and it will determine if they are liquid or ice and the shapes of the ice particles.
GRIDS will initially be put to work as a high-end research tool. The ultimate vision for GRIDS is that it will augment the national weather radar network of conventional weather radars at icing-prone airports. Just as satellites see clouds very differently when looking at them with visible versus infrared radiation, no single-wavelength radar (or single remote sensor of any kind), can tell us all we want to know. Long-wavelength (10-cm) weather radars, such as NEXRAD, are only designed to monitor the precipitation-sized particles. So they have difficulty detecting low-altitude, weakly reflecting, non-precipitating clouds that may contain dangerous SLD, which the shorter (8.7-mm) wavelength of the GRIDS radar most readily detects. There are other important differences that also will make the GRIDS and NEXRAD technologies complementary. NEXRAD provides surveillance over a large area, but is encumbered by ground clutter in the near-field. The GRIDS radar, on the other hand, is virtually insensitive to ground clutter and can continuously profile clouds from the ground to the tropopause.
NOAA's National Weather Service is trying to speed the effort, and has entered GRIDS into the seven-year plan of its aviation weather initiative. GRIDS will verify icing forecast models and satellite interpretations of icing conditions, improve model cloud physics, and help to assess and improve the "eyes" of NEXRAD. Once fully implemented, the system will help to improve the FAA and NWS monitoring and forecasts of icing conditions and reduce needless flight cancellations, delays, and re-routing due to suspected, but unconfirmed icing conditions, which have contributed to passenger inconveniences and large financial consequences in the past. Most importantly, GRIDS will provide air traffic controllers and pilots with the information they need to reliably avoid hazardous icing conditions near airports. As with any new technology, many more hurdles must be cleared to move GRIDS into routine operations, but there is hope that many of the transportation issues caused by in-flight icing will soon be alleviated by application of this new technology.
Relevant Web Sites
Ground-Based Remote Icing Detection System (GRID)
National Weather Service (NWS)
NEXRAD
Mount Washington Icing Sensors Project
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