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Atomos Connect includes a 12G SDI interface for a wide range of professional SDI-equipped cameras, adding to the already huge range of HDMI-supported by the Ninja and Ninja Ultra. The SDI input can also cross convert a signal to the HDMI output, for additional workflow options.
The AtomRemote App for IOS and macOS is a control panel for Atomos Connect. It gives you touchscreen control over configuration and operations as far as 15 meters away from Connect via Bluetooth LE. You can also select inputs, Gamma/EOTF and adjust Gamut settings.
For monitoring, AtomRemote can be used to control playback, choose monitoring modes, apply custom 3D LUTs, or view image analysis tools including exposure and focus. Output controls include options to convert from 4K to HD, LUT preview, and HDR output.
H.265 is a popular codec choice due to its low bandwidth requirements and smaller file sizes. With H.265, you can store more video, stream in better quality, and edit and publish directly from the cloud for fast turnaround video social media posts. This eBook is for anyone considering using H.265 as a recording format.
Atomos Connect includes an SDI interface, which adds support for a new category of camera. When added to the HDMI line-up supported by Ninja/Ninja Ultra, the range of compatible digital cinema, DSLR and, mirrorless cameras has never been greater.
Atomos Connect can stream to a range of online services including Facebook Live, Twitch, YouTube, and custom RTMP/S services. It manages the encoding and connection so that you can focus on the creative. With Wi-Fi 6 (6E on Ninja Ultra), Gigabit Ethernet, and the ability to join cellular hot spots built in, Atomos Connect helps filmmakers, influencers and content creators reach their audiences, wherever they are in the world.
Not all products or services are approved or offered in every market, and approved labelling and instructions may vary between countries. Please contact your local representative for further information.
With an intuitive user interface and straightforward navigation, our microscope imaging software guides the user through their workflow, whether fast image acquisition or sophisticated expert analysis. A range of specific modules allows configuration of the microscope as a dedicated high-performance tool for almost any application.
The latest software platform, LAS X, encompasses all microscope solutions for Life Science and Industry applications, offering maximum flexibility. The previous Leica Application Suite continues to be supported.
LAS X software visualizes samples in 3D allowing 3D analysis for measuring various aspects of intracellular structures such as volumes of nuclei, their surface, or distances and angles between the nuclei.
Photomanipulation tools enable the microscopist to initiate biological events, precisely adjusting sample labeling, biological activity, local chemical environments and in some instances physically destroy parts of their specimen.
With this new capability, anyone living in hurricane-prone coastal areas along the U.S. East and Gulf Coasts and Puerto Rico can evaluate their own unique risk to the storm surge hazard. These maps make it clear that storm surge is not just a beachfront problem, with the risk of storm surge extending many miles from the immediate coastline in some areas. "Simply look at the interactive maps to find out if you are in an area at risk for storm surge from a hurricane", said BrianZachry, Ph.D., NHC Storm Surge Specialist.
What should individuals do if they discover that they live in an area vulnerable to storm surge? "If you discover you are vulnerable to storm surge, find out if you live in a hurricane storm surge evacuation zone, then decide today where you will go and how you will get there, if and when you're instructed by emergency managers to evacuate", said Dr. Rick Knabb, Director of NOAA's National Hurricane Center.
The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border and for Hawaii. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH modelMOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst-case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge risk maps.
In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. Through NOAA's Integrated Ocean Observing System (IOOS) Coastal and Ocean Modeling Testbed (COMT) the SLOSH model has been loosely coupled to the Simulating Waves Nearshore (SWAN) third-generation wave model, developed at Delft University of Technology ( ), for storm surge modeling applications in island regions such as Puerto Rico, USVI, and Hawaii. In these locations, SLOSH+SWAN simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup. Storm Surge Wave Modeling for Guam and American SamoaFor Guam and American Samoa, the SLOSH model has been coupleed with an efficient parametric wind wave model courtesy of NOAA/NCEP/EMC. SLOSH+Wave simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup. Data has been processed by the National Hurricane Center (NHC) Storm Surge Unit.Storm Surge and Wave Modeling in Hispaniola Guam and Yucatan Peninsula Through the USAID/WMO Coastal Inundation and Flooding Demonstration Project for the Island of Hispaniola, the SLOSH model has been coupled with an efficient parametric wind wave model courtesy of NOAA/NCEP/EMC. In this location, SLOSH+Wave simulations were conducted to create MEOW and MOM products that account for the increase in the mean water level due to wave setup. Data has been processed by the National Hurricane Center (NHC) Storm Surge Unit.
To create this map for the US Gulf and East Coasts, the 3DEP and OCM DEMs were resampled to 1/3 arc-second (about 10 m) using a bilinear interpolation and mosaicked together to produce a seamless raster elevation dataset.
The NOAA OCM high-resolution DEMs were used for Puerto Rico, USVI, Hawaii, Guam, and Amercian Samoa. The native grid cell size for that data is about 3m and for the purposes of this analysis, that data was resampled to a grid cell size of about 9 meters.
In International areas outside of the U.S., such as Hispaniola and the Yucatan Peninsula, the analysis uses TanDEM-X (TDX) DEM data provided by German Aerospace Center (DLR). Resolution of TDX DEM is 0.4 arc seconds in latitudinal direction and varies in longitudinal direction between 0.4 arc seconds (equator) and 4 arc seconds (85 degrees N/S) (Wessel, 2016). In partnership with the Department of Earth and Environment/International Hurricane Research Center at the Florida International University, the raw data was filtered to remove non-ground features.
The process to create storm surge inundation maps from the existing SLOSH MOM products requires several technical steps. First, the usable areas of the SLOSH grids were reduced to ignore spurious data along the grid boundaries. The SLOSH basins have considerable overlap to allow for complete storm surge coverage for planning and operations. Merging these basins into a seamless product requires specialized technical considerations. Since the grid boundaries yield unreliable data, basin overlap was minimized, and the high-resolution and center portions of grids were retained. The process used herein leveraged both SLOSH basin building and surge modeling expertise at NHC. Second, the maximum water levels in each MOM were merged onto a uniform grid for processing. The data were merged onto the NWS National Digital Forecast Database (NDFD) Lambert Conformal projected grid with a horizontal resolution of roughly 625 m (the actual resolution varies by latitude). Lastly, the merged MOM grids were processed through Esri ArcGIS to subtract the land elevation and create a seamless raster of inundation. It should be noted that the SLOSH MOM storm surge risk data used to create these maps are constrained by the extent of the SLOSH grids. High-quality maps are essential for effective risk communication.
This page outlines the approach to merging the SLOSH MOM products to create a seamless view of storm surge inundation and risk for Category 1-5 hurricanes. Using social science research, the carefully derived and high resolution inundation maps provide a means for effective risk communication and analysis. The maps show that all coastal regions mapped are vulnerable to storm surge inundation, and the risk significantly increases with increasing hurricane category. Locations along the Gulf of Mexico are extremely vulnerable to storm surge, in terms of both height and inland extent due to a wide and flat continental shelf over the majority of the region and low-lying land elevations extending well inland. Puerto Rico, USVI, Hawaii, Southern California, American Samoa, Guam, Hispaniola, and the Yucatan Peninsula are also vulnerable to storm surge and wave impacts. Large bays, tidal rivers, etc. are extremely vulnerable to storm surge flooding. These data and this approach taken to inform the public of storm surge risk are valuable to federal, state, and local NOAA partners, academic, private, and other various organizations.
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