Meteorology for all; facts about the atmosphere, air travel, weather forecasting, clouds, winds, storms [and] how to read the weather map,

Mode of access: Internet.

Daily weather maps.

Item 273-D-4

Web GIS to support irrigation management: a prototype for SAGRA network, Alentejo Portugal

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies

Meteorologists in map room at the U.S. Weather Service

Inscriptions: Verso: [stamped] Photograph by Freda Leinwand. [463 West Street, Studio 229G, New York, NY 10014].

Interstate Highway Map Indicating Vertical Clearance, May 15, 2011

The State of Iowa [STATE] and the Iowa Department of Transportation [IDOT] hereby is claim any warranty of any kind, express or implied, in reference to the information contained herein. The STATE and the IDOT neither assume nor authorize any person to assume for the STATE or the IDOT any liability in connection with the information contained herein, and there are no oral agreements or warranties regarding the information contained herein. Each and every person is hereby notified that the vertical clearances specified herein are subject to change due to resurfacing, surface buckling, weather conditions, or any other event. It is the responsibility of each and every vehicle operator to ascertain whether sufficient ACTUAL vertical clearance exists to move his vehicle or motor vehicle between the roadway and the underpasses and bridges listed herein. The May 15 date on this map reflects the end of the update schedule for the previous calendar year. Any vertical clearance restrictions which could or may change AFTER this date will not be reflected on this map. For the latest information on vertical clearance restrictions call the Office of Motor Carrier Services in Ankeny, (515) 237-3264 or visit http://www.iowadot.gov/mvd/omcs.

On differentiating ground clutter and insect echoes from Doppler weather radars using archived data

Normally wind measurements from Doppler radars rely on the presence of rain. During fine weather, insects become a potential radar target for wind measurement. However, it is difficult to separate ground clutter and insect echoes when spectral or polarimetric methods are not available. Archived reflectivity and velocity data from repeated scans provide alternative methods. The probability of detection (POD) method, which maps areas with a persistent signal as ground clutter, is ineffective when most scans also contain persistent insect echoes. We developed a clutter detection method which maps the standard deviation of velocity (SDV) over a large number of scans, and can differentiate insects and ground clutter close to the radar. Beyond the range of persistent insect echoes, the POD method more thoroughly removes ground clutter. A new, pseudo-probability clutter map was created by combining the POD and SDV maps. The new map optimised ground clutter detection without removing insect echoes.