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Listing of EXPERIMENTAL Products
 
Product Name Brief Description Submitter Date Entered
Experimental Lake Effect Snow Warning Polygons The experimental Lake Effect Snow Warning (LES) polygon areas delineate the locations of highest impact of the LES. As the lake effect shifts, polygon areas will change spatially and temporally to best delineate the areas of highest impact over the course of the LES event (for example, snowfall rate, blizzard-like conditions, total snowfall). Issuance of the product would be based upon forecaster confidence of reaching LES Warning criteria: 7 inches or more in 12 hours, or 9 inches or more in 24 hours. Jason Franklin 2015-09-17
Experimental Gulf Stream Forecast The Gulf Stream Forecast is a 3 hourly forecast for areas along the Gulf Stream as output from the NWPS model from the WFO Miami Forecast Office. The graphic display shows the Gulf Stream current, significant wave height, wind speed, and peak wave period and direction in graphical formats. There are 4 separate geographical areas, and all the graphs can be stepped in time or looped on the webpage. Melinda Bailey 2015-09-11
Experimental Rip Current Risk Graphic Graphical Rip Current Risk derived from the Surf Zone Forecast. Wayne Presnell 2015-09-02
Experimental International Arrival and Departure GATE Forecasts These web-based International Departure Gate Forecast (IDGF) and International Arrival Fix (IAF) forecasts provide categorical convective guidance for specific locations in the National Airspace System (NAS) allowing for more accurate air traffic management. These forecasts will be a collaborative effort between the NOAA/NWS Center Weather Service Units (CWSU) located at the FAA Air Route Traffic Control Centers in Nashua NH (Boston), Ronkonkoma NY (New York) and Leesburg VA (Washington).The purpose of this experimental web page is to provide the Federal Aviation Administration (FAA) and the airlines with expanded weather planning information.This expanded information begins to address a gap in the NWS convective product suite and the Terminal Aerodrome Forecast (TAF). Specific forecast products are not available that forecast convective weather at aeronautical arrival and departure fixes (known as ‘gates’). Thunderstorm impact at or near these gates has a significant impact on the flow of aircraft through the NAS causing delays. This will allow critical partners and customers to make more informed decisions regarding the air traffic flow through the NAS. Scott Reynolds 2015-08-28
Experimental Weeks 3-4 Temperature Outlook The National Weather Service, Climate Prediction Center delivers real-time products and information in order to monitor and predict climate variations and their potential associated impacts on timescales from weeks to about 1 year. The objective is to promote effective management of climate risk and a climate-resilient society. Currently, the Climate Prediction Center issues temperature outlooks for the Week-2 and 1-month outlook time periods. No current products exist for the intermediate timescale (i.e. Week 3-4) between these two forecast time horizons. The initial release of the experimental Week 3-4 Temperature Outlook will consist of two components. These are (1) a temperature outlook map targeting the combined Week 3-4 outlook, and (2) prognostic map discussion (PMD) text explaining the rationale for the forecast. Jon Gottschalck 2015-08-28
Experimental NDFD Full Resolution XML Web Service The National Digital Forecast Database (NDFD) contains a seamless mosaic of digital weather forecasts from National Weather Service (NWS) field offices and the National Centers for Environmental Prediction (NCEP). Full resolution data from NDFD web services will be made available experimentally in order to be consistent with the resolution of data provided in Gridded Binary Data Edition 2 (GRIB2) via file transfer protocol (ftp) or hypertext transfer protocol (http), and that of graphical images produced by the NDFD Map Viewer. Andy Horvitz 2015-07-29
Experimental Precipitation Potential Index (PPI) in the NDFD The Precipitation Potential Index forecast is now available as a new element in NDFD experimentally. The Precipitation Potential Index (PPI) is used by Weather Forecast Offices to derive 12-hour Probability of Precipitation (PoP12) forecasts and provides detail on precipitation timing at up to hourly resolution Providing PPI via NDFD enables users to make near-term decisions based on finer temporal resolution precipitation information than 12-hour Probability of Precipitation Andy Horvitz 2015-07-24
Proposed Expansion of NOAA/NWS Support for Multi-agency Runoff Risk Forecasts The NWS is proposing expansion of NOAA NWS support for these multi-agency runoff risk tools in Wisconsin, Minnesota, Michigan, and Ohio through federal, state, and academic collaboration in 2016-2017. Expansion to the remaining Great Lake states and many other states has been requested following the round of states mentioned above. Included in the proposed expansion, the NWS will upgrade the modeling structure. The NWS will transition from a watershed basin basis to a 4kmx4km gridded model which will increase the spatial resolution of the tool as well as allow a more universal basis across a larger region. This new modeling approach will require new runoff risk analyses and development which will be conducted in collaboration with the agencies listed above. Deliverables will no longer be a CSV file and instead will be a suite of ASCII grids. The grid package will include the calculated runoff risk and model forcings such as observed and forecast precipitation and temperature and may also include model states such as soil temperature, soil moisture, and ground snow water equivalent values. Wendy Pearson 2015-07-17
Experimental Day 4-7 Winter Weather Outlook The Day 4-7 Winter Weather Outlook is a graphical probabilistic forecast depicting the probability of winter precipitation (snow/sleet) exceeding 0.25 inches (~6 mm) water equivalent over a 24-hour period. The product is comprised of 4 graphics showing the forecast for Day 4, Day 5, Day 6, and Day 7. The outlook is prepared twice daily by Weather Prediction Center (WPC) medium range forecasters David Novak 2015-06-24
Experimental GATE Forecast Arrival and departure sectors for major airports, also called gates, are polygonal regions which roughly follow Air Route Traffic Control Center (ARTCC) low-level sectors where arrivals and departures to these airports will be routed. It is important to know whether significant weather, such as thunderstorms, could affect large portions of the sectors so that traffic can be rerouted, if needed, to other sectors. The Gate Forecast is a decision support algorithm that uses the High-Resolution Rapid Refresh (HRRR) model to determine whether there is the potential for thunderstorm activity in a particular terminal gate. The algorithm initializes with the HRRR composite reflectivity forecasts and then does a time lag ensemble using the previous three HRRR model runs. It creates a grid with the maximum composite reflectivity at each grid point from the three runs (for example, the 1 hr. forecast from the 18UTC run plus the 2 hr. forecast from the 17 UTC run and the 3 hr. forecast from the 16 UTC run). From that grid, a probability factor is computed. Low composite reflectivity equates to low probability. High reflectivity equates to high probability. The algorithm computes the gate sector coverage of these probabilities. If more than 1% of the sector is covered in low probability (.25 chance), the gate is colored yellow. If more than 4% of the sector is covered in high probability (.60 chance), then it is colored red. These are then computed for each forecast time from the HRRR. The product display overlays the sector boundaries on the current radar loop. The sectors are color-coded using a three tiered approach: • Green - no significant weather • Yellow - some significant weather that might affect some portions of the gate • Red - significant weather that could affect large portions of the gate Around each gate is an icon with the gate name and the forecasts for the next nine hours. Clicking on the icon will bring up a dialog box that shows the percent coverage of low (2560) thunderstorm probability, the three HRRR runs used in the forecast and the time of the last update. Mike Bettwy 2015-06-02
Experimental Impact-Based Marine Hazard Grids Impact-based marine hazard grids (IBH) provide the marine community with a detailed depiction of expected adverse weather conditions. Unlike zone-based hazards, IBH also show parts of zones where no hazard is expected which allows for continued marine operations. The Weather Ready Nation concept calls for improving information to customers and partners to enhance decision support. Providing additional hazard details fills that requirement. Jeff Lorens 2015-06-01
Prototype Storm Surge Watch Warning Graphic The prototype storm surge watch/warning graphic highlights areas along the Gulf and Atlantic coasts that have a significant risk of life-threatening storm surge inundation from a tropical cyclone, displaying areas that would qualify for inclusion under a storm surge watch or warning under development by the National Weather Service. The graphic represents the first step of a phased implementation toward an NWS storm surge watch/warning, but for 2015 does not represent an official NWS watch/warning. The NWS plans to debut an experimental storm surge watch/warning in 2016. After incorporating both user and partner input, the NWS expects to make the storm surge watch/warning fully operational in 2017 John F. Kuhn 2015-04-07
Experimental Short Range River Forecast Uncertainty (AHPS) A graphical hydrograph depiction of short-range river forecast uncertainty. The product provides probabilistic bounds for the river forecast in the context of high and low water thresholds used in AHPS. Ernie Wells 2015-02-25
Experimental Collaborative Aviation Weather Statement (CAWS) The Collaborative Aviation Weather Statement (CAWS) is a product (weather service) collaborated by National Weather Service (NWS) meteorologists, airline meteorologists, and other airline and Federal Aviation Administration (FAA) personnel. The CAWS focuses on specific, convective forecasts impacting the Core 29 airports and high traffic en-route corridors. The focus is event-driven, supporting the ability to more effectively initiate, adjust, or terminate planned or active Traffic Management Initiatives (TMI) to balance traffic demand in the constraint locations Michael Graf 2015-02-13

Listing contains 79 items. Total pages: 6   Click on desired page:  Prev. Page «    1    2   3   4    5    6   » Next Page
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