Wednesday, December 9, 2009

Sharp R-305KS 1-Cubic-Foot 1100-Watt Microwave Oven, Stainless

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Sharp R-305KS 1100 Watts Stainless Silver Microwave
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Technical Details

- 1100-watt mid-sized microwave oven with 1-cubic-foot capacity
- 12-5/8-inch-diameter turntable provides even heating; 23 automatic settings
- 4 defrost, 6 cook, and 6 reheat options; Short Cuts for melting, softening, and warming
- Minute Plus; popcorn key; auto-touch controls; 4-digit 2-color lighted display; interior light
- Measures 20-1/2 by 17 by 12-1/4 inches; 1-year limited warranty
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Customer Buzz
 "Bad product; bad service" 2009-12-01
By J. Ross (Cincinnati, OH)
Had OK Sharp MWs for years, but this was a lemon. Burned popcorn. Got noisy, then failed after 6 months. Local "Factory" service (Eugene, OR) was a hole-in-the-wall, looked like a Droid repair shop out of Star Wars. Decades-old MWs and parts stacked up to the ceiling. I had to call daily for 3 weeks to get it back. Then used sparingly for a month ... got noisy and failed again.



Got an LG. We'll see. My experience with this Sharp product is consistent with recent experience a wide variety of consumer products made in China: even when I get a good product, if I buy the same product again, then it's different (e.g., garden nozzles, exercise shoes). So my guess is that there really aren't "Sharp" MWs, just a variety of look-alike MWs made in any number of Chinese sweat shops with a Sharp label. No way to tell if your product came from the right sweat shop on the right day.



If service matters to you, then I'd go to the Sharp site, ID your local "Factory" service provider, and check it out before you buy. BTW, disregard my Cincinnati address. I'm in Eugene, OR now. But couldn't change profile.

Customer Buzz
 "SHARP MICROWAVE R-305KS" 2009-11-10
By Marvin L. Manly (Tucson, AZ.)
Good Microwave. LOTS of power. Only complaint is that stainless steel is harder to keep clean looking than other surfaces.

Customer Buzz
 "Great buy" 2009-11-10
By G. M. Clifford (left coast, USA)
Did lots of research and found great reviews for this unit. Totally agree with those reviews, it is very easy to use, very spacious. No complaints!

Customer Buzz
 "Pleased with Sharp Microwave Oven" 2009-11-05
By M. Lockwood (Pullman, WA, USA)
My Sharp Microwave Oven R-305KS is the best microwave oven I've ever owned. It's a good buy.

Customer Buzz
 "MY THIRD SHARP MICROWAVE" 2009-11-02
By Maurice L. Sloane II (Houston, Tx)
This is the third Sharp microwave I have owned. The other two lasted about ten years each. That should speak for itself.


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Nordic Ware 11-Inch Microwave Plate Cover

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Fits dinner plates up to 11 inches and the Nordic Ware 2-sided Bacon-Meat Grill. Allows you to view food without spatters in the microwave. Prevents spatters in microwave and keeps food warm for serving. Clear see-thru plastic to view food as it cooks. Proudly made in the USA.
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Technical Details

- Protects against food splatter
- Fits dinner plates up to 11 inches in diameter
- Steam vents
- Top rack dishwasher safe
- Made in the USA
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Customer Buzz
 "Nordic Ware Microwave plate cover" 2009-12-05
By J. Davenport (Siler City, NC United States)
I love this cover. No more mess in the microwave, and no more taking the time to cover what I am heating with a napkin or paper towel. I keep the cover in the microwave and just pop it over the food I am heating. The cover cleans very easily, too.

Customer Buzz
 "Not very pleased" 2009-12-05
By Kathleen Eisel (Pittsburgh, PA USA)
I bought this item, and very shortly( a month or 2) after using it, it started to crack. The cracks got worse with more use. I liked the size and design of the plate cover, but was disappointed with the quality and how fast it started to crack. Others said they used theirs for 2 years or more - maybe I got a defective one.



Kathy

Customer Buzz
 "Almost as good as a paper plate" 2009-10-16
By Laurel Colton (Indian Trail, North Carolina United States)
Concept is great...maybe it works but the Microwave Turntable stops when I add the plate cover. Just wait until I'm asked to review that item! New to me house with older KitchenAid microwave...no built in turntable.

Customer Buzz
 "very useful" 2009-10-14
By okie (Oklahoma USA)
I used to have a microwave plate cover that I used quite a bit. It is no longer around so I ordered the Nordic Ware microwave plate cover. It is great! The hole in the middle lets steam out (along with a few minor splatters). I'm quite pleased with this! Nordic Ware 11-Inch Microwave Plate Cover

Customer Buzz
 "Nordic ware microwave plate cover" 2009-10-10
By Kelly Arnold (Fort Worth Texas)
So far after a number of months this is the best. I think this unit will last for 2 to 5 years easily. It will fit a 10 inch plate and just barely a 10 1/2 inch plate. If you have 11 or 12 inch plates you will need a larger cover.


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3 year Appliance Warranty: Free In-home service - A+ rating by BBB - Major Appliances $1000-1250

Buy Cheap 3 year Appliance Warranty: Free In-home service - A+ rating by BBB - Major Appliances $1000-1250


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SquareTrade Care Plans are great value and cost on average 10-15% of the item price for 3 years of coverage. That is 40% lower on average than traditional warranties.  Upon purchase, you will get an email confirmation.  You will not be mailed a paper contract.  If you have questions, please call: 1.877.WARRANTY.
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Technical Details

- Coverage: 3 years of mechanical and electrical failures from normal use, starting from item purchase date.
- Claims:  We will fix the item or pay you the full replacement cost of the item.  Zero Deductibles.
- Service: In-home service for large appliances. Smaller appliances get free 2-way shipping to depot.
- Common Major Appliance failures include electrical engine failure, broken pumps and valves, boiler failure, broken seals and pulleys, water dispense and ice maker malfunctions.
- No Paper: We email your contract within 24 hours and let you store your receipts with us for a paperless claims process. You will not be mailed a contract.
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Flood monitoring over the Mackenzie River Basin using passive microwave data [An article from: Remote Sensing of Environment]

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This digital document is a journal article from Remote Sensing of Environment, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Flooding over the Mackenzie River Basin, which is situated in northwestern Canada, is a complex and rapid process. This process is mainly controlled by the occurrence of ice jams. Flood forecasting is of very important in mitigating social and economic damage. This study investigates the potential of a rating curve model for flood forecasting. The proposed approach is based on the use of a Water Surface Fraction derived from SSM/I passive microwave images and discharge observations. The rating curve model is based on an existing correlation between flooded areas and measured discharge. However, a time lag can be observed between these two variables. Thus, the rating curve model has been modified by the introduction of a lag term that could vary depending on the flooding intensity and the features of the basin. Hence, the lag term is computed dynamically using a cross-correlation function between Water Surface Fraction values which are derived from SSM/I observations and the discharge vectors. The rating curve model is based on two empirical parameters that depend on the site features, which vary in both space and time. To overcome this dependency, the rating curve model was linked to a Kalman filter in order to dynamically estimate the empirical parameters according to the forecasting errors encountered at each time step. With the Kalman filter, the dynamic rating curve model continuously readjusts its parameters to satisfy the non-stationary behavior of hydrological processes. The model is thus sufficiently flexible and adapted to various conditions. Simulations were carried out over the Mackenzie River Basin (1.8 million km^2) during the summers of 1998 and 1999. NOAA-AVHRR images were used to validate the forecast WSF values. The predicted flooded areas agree well with those derived from the NOAA-AVHRR images. Further simulations were carried out from 1992 to 2000 using the rating curve model to predict discharge at a downstream location. Even though an interannual variability of the water surface fractions was observed over the PAD area, the modified model was sufficiently flexible to be readjusted and to reproduce satisfactory results. This implies that a combination of passive microwave data and discharge observations presents an interesting potential in flood and discharge prediction.
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Sunday, December 6, 2009

Flood monitoring over the Mackenzie River Basin using passive microwave data [An article from: Remote Sensing of Environment]

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This digital document is a journal article from Remote Sensing of Environment, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Flooding over the Mackenzie River Basin, which is situated in northwestern Canada, is a complex and rapid process. This process is mainly controlled by the occurrence of ice jams. Flood forecasting is of very important in mitigating social and economic damage. This study investigates the potential of a rating curve model for flood forecasting. The proposed approach is based on the use of a Water Surface Fraction derived from SSM/I passive microwave images and discharge observations. The rating curve model is based on an existing correlation between flooded areas and measured discharge. However, a time lag can be observed between these two variables. Thus, the rating curve model has been modified by the introduction of a lag term that could vary depending on the flooding intensity and the features of the basin. Hence, the lag term is computed dynamically using a cross-correlation function between Water Surface Fraction values which are derived from SSM/I observations and the discharge vectors. The rating curve model is based on two empirical parameters that depend on the site features, which vary in both space and time. To overcome this dependency, the rating curve model was linked to a Kalman filter in order to dynamically estimate the empirical parameters according to the forecasting errors encountered at each time step. With the Kalman filter, the dynamic rating curve model continuously readjusts its parameters to satisfy the non-stationary behavior of hydrological processes. The model is thus sufficiently flexible and adapted to various conditions. Simulations were carried out over the Mackenzie River Basin (1.8 million km^2) during the summers of 1998 and 1999. NOAA-AVHRR images were used to validate the forecast WSF values. The predicted flooded areas agree well with those derived from the NOAA-AVHRR images. Further simulations were carried out from 1992 to 2000 using the rating curve model to predict discharge at a downstream location. Even though an interannual variability of the water surface fractions was observed over the PAD area, the modified model was sufficiently flexible to be readjusted and to reproduce satisfactory results. This implies that a combination of passive microwave data and discharge observations presents an interesting potential in flood and discharge prediction.
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Flood monitoring over the Mackenzie River Basin using passive microwave data [An article from: Remote Sensing of Environment]

Buy Cheap Flood monitoring over the Mackenzie River Basin using passive microwave data [An article from: Remote Sensing of Environment]


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This digital document is a journal article from Remote Sensing of Environment, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Flooding over the Mackenzie River Basin, which is situated in northwestern Canada, is a complex and rapid process. This process is mainly controlled by the occurrence of ice jams. Flood forecasting is of very important in mitigating social and economic damage. This study investigates the potential of a rating curve model for flood forecasting. The proposed approach is based on the use of a Water Surface Fraction derived from SSM/I passive microwave images and discharge observations. The rating curve model is based on an existing correlation between flooded areas and measured discharge. However, a time lag can be observed between these two variables. Thus, the rating curve model has been modified by the introduction of a lag term that could vary depending on the flooding intensity and the features of the basin. Hence, the lag term is computed dynamically using a cross-correlation function between Water Surface Fraction values which are derived from SSM/I observations and the discharge vectors. The rating curve model is based on two empirical parameters that depend on the site features, which vary in both space and time. To overcome this dependency, the rating curve model was linked to a Kalman filter in order to dynamically estimate the empirical parameters according to the forecasting errors encountered at each time step. With the Kalman filter, the dynamic rating curve model continuously readjusts its parameters to satisfy the non-stationary behavior of hydrological processes. The model is thus sufficiently flexible and adapted to various conditions. Simulations were carried out over the Mackenzie River Basin (1.8 million km^2) during the summers of 1998 and 1999. NOAA-AVHRR images were used to validate the forecast WSF values. The predicted flooded areas agree well with those derived from the NOAA-AVHRR images. Further simulations were carried out from 1992 to 2000 using the rating curve model to predict discharge at a downstream location. Even though an interannual variability of the water surface fractions was observed over the PAD area, the modified model was sufficiently flexible to be readjusted and to reproduce satisfactory results. This implies that a combination of passive microwave data and discharge observations presents an interesting potential in flood and discharge prediction.
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