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Cosplayer: Maryam Aguilar
Photographer and Editor: EJ Studios
Photographs may not be used or reproduced without permission of model and photographer.
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picture of a tall fitness model with alluring look wearing fun bluesy colors and boots. photographer souleye, sharpfocus photography, washington dc
1930 Ford Model A Roadster
Production 1927–1931, 4,849,340 made
Assembly plants Dearborn, Michigan,Windsor, Ontario,Buenos Aires, Argentina, Cologne, Germany, Copenhagen Denmark, Cork, Ireland, Trafford Park, England, Geelong Australia
and Saint Paul Minnesota.
Body styles A – Chassis, Convertible Sedan (A-400), Business Coupe, Coupe,Deluxe Coupe, Sport Coupe, Standard Coupe, Deluxe Coupe, Standard Fordor Sedan - Murray, Standard Fordor Sedan - Briggs, Deluxe Fordor Sedan - Murray, Deluxe Fordor Sedan Briggs, Leatherback Fordor Sedan,Standard Fordor Sedan – Slant windshield, Mail Truck,Panel Truck, Phaeton 2-door Phaeton 4-door, Deluxe Service Pickup, Roadster Pickup,Cabriolet, Pickup, Deluxe Pickup,Standard Roadster, Deluxe Roadster, Sport Roadster, Station Wagon,Taxi Cab, Town Car,Town Car Delivery, Standard Tudor Sedan, Deluxe Tudor Sedan, Victoria, Wood Panel Delivery and Station wagon.
I Make it 34 body types and I have not included the AA or the AF models!
Related Ford Model AF and Ford Model AA
Powertrain Engine 201 CID (3.3 L) L-head-4 I4
Transmission 3-speed sliding gear manual
Dimensions
Wheelbase 103.5 in (2,629 mm)[1]
Length 165 in (4,191 mm)
Width 67 in (1,702 mm)
Curb weight 2,265 lb (1,027 kg
en.wikipedia.org/wiki/Ford_Model_A_(1927%E2%80%931931)
Casio Gshock Watch Model G-7900-2DR
From G-SHOCK, the watch that brought unmatched toughness to personal timekeeping, comes a collection of models that deliver a level of protection. These watches are designed and engineered to become partners of people who like their activities rough and rugged.
Major features include four large bezel screws and protruding surfaces that divide the form of the watch into six sections for a fashionable design.
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Product Photo by : Casio India
Model: Janae Fulton
Photographer: Justin Bonaparte
Edited visualization from the HRRR-Smoke model of where smoke from fires in Northern California were predicted to go.
Image source: earthobservatory.nasa.gov/images/144190/which-way-will-th...
Original caption: By the time the U.S. Forest Service declared the Mendocino Complex Fire 100 percent contained in mid-September 2018, it had burned for nearly two months, destroyed 157 homes, and scorched more than 459,000 acres, making it the largest wildfire in California history. Wildfires in the state burned more than 1.3 million acres from January 1 through November 4, shrouding the region and, at times, whole swaths of the country, in smoke.
In the past, the behavior of such wildfires and their smoke plumes was notoriously difficult to forecast. “It was a challenge for the atmospheric models to know where a fire was, how active it was, and how much emissions it was putting into the atmosphere,” said Andy Edman, who oversees Western region wildfires for the National Weather Service. “It was sort of like having a family reunion. Most everyone is going to be acting normal, but wildfire behavior can be like your crazy uncle—erratic and difficult to predict.”
But a new experimental model that relies on data from National Oceanic and Atmospheric Administration (NOAA) and NASA satellites has proven remarkably good at simulating the behavior of wildfire smoke. The High-Resolution Rapid Refresh Smoke model, or HRRR-Smoke, builds on NOAA’s existing HRRR weather model, which forecasts rain, wind, and thunderstorms. It ingests real-time data from the Joint Polar Satellite System’s Suomi-NPP and NOAA-20 polar-orbiting satellites, as well as NASA’s Terra and Aqua satellites.
The image on the top left, captured by the Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi-NPP, shows the Western United States in natural color in the afternoon on August 6, 2018, at the height of the Mendocino Complex Fire. On the top right is a HRRR-Smoke simulation from the same region at the same time.
Central to HRRR-Smoke is an important metric called fire radiative power. FRP is a measurement of the amount of heat released by a given fire in megawatts. A large fire, for example, might reach about 4,000 megawatts per pixel (750x750 meters). Calculating radiative power and where it is distributed can help scientists pinpoint the active front of a fire and predict the density and trajectory of the smoke it will emit.
The HRRR-smoke model combines FRP data with observations of wind speed, rain, and atmospheric temperature. It also includes vegetation maps because the more scientists know about what is burning, the better the simulation. (For instance, sagebrush burns differently than ponderosa pine.) These measurements are mapped to a three-dimensional grid that extends nearly 16 miles into the atmosphere. What results is a detailed forecast of the amount of smoke produced, the direction it should travel, and its plume height. HRRR-Smoke generates forecasts four times per day and looks ahead by 36 hours.
The forecasts include two key sets of predictions. “Near-surface smoke” refers to the smoke that will hover within 8 meters (26 feet) of the ground—the kind responsible for burning eyes and aggravated asthma. “Vertically integrated smoke” depicts all of the smoke in a vertical column, including smoke high in Earth’s atmosphere. That is the smoke you see at sunrise and sunset. The animation below shows a 36-hour forecast of vertically integrated smoke on August 6, 2018.
[Unfortunately, I was unable to upload this animated GIF to Flickr... - please see original site for image.]
“Near-surface smoke is one indicator of air pollution, but the smoke could also be at much higher altitudes,” said Ravan Ahmadov, the main developer of the HRRR-smoke model, and a research scientist at NOAA’s Earth Systems Research Laboratory and the Cooperative Institute for Research in Environmental Sciences. “That’s important to know, because the smoke could affect visibility for aviation.” High-altitude smoke can also block incoming sunlight, which can cool air temperatures and interfere with solar energy production.
HRRR-Smoke is being used increasingly by forecasters and government agencies, but also by some local groups. During California’s Ferguson fire, the Department of Transportation used HRRR-Smoke simulations as part of its decision-making to suspend Amtrak rail service in the region. Likewise, the model was part of the National Park Service calculus when it closed parts of Yosemite.
On a local scale, schools in Utah referred to model forecasts when they opted to keep kids inside during recess and to cancel football games due to fires burning south of Provo. In Oregon, a youth swimming coach moved outdoor practice to an indoor pool after hearing the forecast.
“When we can tell people that the smoke is going to move in and hang around for a day, they can take smart actions to anticipate the event,” Edman said. “If you have a child with asthma, you’ll know to take precautions.”
The HRRR-Smoke model is still evolving. One limitation, Ahmadov said, is that each polar orbiting satellite passes each location in the continental United States just twice a day, and fires can spread and evolve rapidly during the time between those observations. He hopes to eventually incorporate data from geostationary satellites like GOES-16 and GOES-17, which have a lower spatial resolution but would scan the fires more often. The ultimate goal is to add smoke to the regular HRRR model used by the National Weather Service.
“In the next couple of years, I think we are going to see a lot of small, incremental improvements,” Edman said. “The model is not perfect, but all of the components came together this year, and the forecasts were pretty darn good.”
NASA Earth Observatory images by Lauren Dauphin, using VIIRS data from the Suomi National Polar-orbiting Partnership and HRRR-Smoke data. Story by Jenny Marder, Joint Polar Satellite System.
The Walker Bulldog was a light tank designed to replace the M26 Chaffee. It saw limited combat with the US Army in the Korean conflict and extensive use by the ARVN in the Vietnamese War.
This model represents an M41 with the Japanese Ground Self-Defense Force. Watch out Godzilla!
In the late 70s I was into tanks and had a minor collection of models. I'm posting these shots for chuckles and grins...
Scanned from 3 1/2 x 5 in print (1979)
Part of a (slow) process of digitalizing my old photos
Thanks for stopping by and view this photo. The reason for posting this photo on Flickr is to learn so if you have constructive feedback regarding what I could do better and / or what I should try, drop me a note I would love to hear your input.
View On Black the way it should be seen!
-- Let the sound of the shutter always guide you to new ventures.
© 2014 Winkler
IAPP Member: US#12002