|[New] or [Modification]
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|[Modification] Addition of Experimental Waterspout coding to the Special Marine Warning and Marine Weather Statement for the Great Lakes||NWS Central Region offices have issued Special Marine Warnings (SMW) and Marine Weather Statements (MWS) with tags for hail and wind as an operational product format since 2010. The purpose of this PDD is to change how these hail and wind tags are encoded to bring them into conformity with how they are done within the Severe Thunderstorm Warning product, and to introduce a new tag to help users better identify the potential threat from waterspouts.|| PDD SMW Waterspout Tags 2015.pdf|
|[Modification] Enhanced Impact Based Decision Support Services||This Service Description Document describes NWS’s impact-based decision support services (IDSS) provided for the protection of life and property to officials that serve within Emergency Support Functions as outlined in the Department of Homeland Security’.|| idss_sdd_emc_Version_2 (3).pdf|
|[Modification] Enhanced Product Experimental RFW Bullet Format (local enhancement to national product)||Fire weather customers in two NWS Regions have expressed current Fire Weather Warnings headlines result in long, complex RFW sentences that are difficult to understand. The Warning headlines must be read to fire fighters over the radio; so quick and efficient messaging is vital to user actions. To address these concerns, select Western (WFO BYZ) and Southern Region WFOs (WFOs servicing West Texas, the Oklahoma Panhandle and New Mexico) will provide an experimental RFW format for the 2013 fire season. The experimental product places the weather threat, reason for issuance and affected area from the main headline and into several, easy to read bullets immediately below the headline|| Enhanced RFW Bullet Format - National PDD.pdf|
|[Modification] Experimental Adaptable NWS Forecast/Warning/Observation Widget and Web Page||This tool’s simple integration into any web page, will allow a broad range of users the ability to embed NWS forecast warning, and observation data seamlessly, while providing for a consistent look and feel, and assurance that NWS data is being used as intended. || PDD-AdaptableNWSForecastObservationWidget.pdf|
|[Modification] Experimental Alaska Region NDFD Grids||PDD updated in 2014 to extend comment period.
PDD updated in 2013 to extend comment period.
PDD updated in 2012 to extend comment period.
PDD updated in 2011 to extend comment period.
PDD updated in 2010 to extend comment period and to update links.
PDD updated in 2009 to include new elements:
Hazards, Weather, Temperature, Dew Point, Wind Gust, Sky Cover, Apparent Temperature, Relative Humidity, Quantitative Precipitation Forecast (QPF) and Snow Amount.
Under statute, the National Oceanic and Atmospheric Administration (NOAA) National Weather Service (NWS) is charged to collect data on climate, water, and weather, provide forecasts and warnings of severe weather in order to protect life and property, and create and disseminate forecasts and other weather information for the benefit of a wide range of weather sensitive businesses and activities. By capitalizing on rapid advances in science and technology and infusing these advances into its operations, the NWS has taken steps to proactively respond to ever changing and growing demands of its users. The most
recent experimental digital datasets (and associated graphic forecast displays) integrated into NDFD are the following elements for Alaska: Maximum Temperature, Minimum Temperature, 12-hour Probability of Precipitation, Wind Speed, Wind Direction, and Significant Wave Height. || AK_ExperimentalPDD_02252015 (4).pdf|
|[Modification] Experimental AWC PIREP Online Submission Form||Pilot Reports (PIREPs) are reports of meteorological phenomena encountered in flight. These reports assist other pilots, dispatchers, and flight planners with flight plan preparation, situational awareness, and operational decision making. The PIREPs are integrated into the NWS forecast production process to help improve the accuracy of the forecasts, which include human generated products such as AIRMETs and SIGMETs as well as automated products such as the Graphical Turbulence Guidance (GTG), the Current Icing Product (CIP) and the Forecast Icing Product (FIP). PIREPs are particularly valuable in areas where surface-based observations are unavailable.
The Aviation Weather Center PIREP online submission form enables registered users to enter PIREPs electronically, which will be distributed and displayed graphically on the Aviation Weather Center’s website www.aviationweather.gov. Users will be able to register at www.aviationweather.gov/user and submit their PIREPS at www.aviationweather.gov/airep/submit. All users will be subject to validation on the basis of having (1) an active pilot’s license (2) a .gov or .mil email address or (3) a group ID number for airlines. All other account requests will be evaluated on a case by case basis.
|[Modification] Experimental Collaborative Decision Making (CDM) Convective Forecast Planning (CCFP) Guidance||The experimental CDM Convective Forecast Planning (CCFP) guidance is a graphical representation of convection meeting specific criteria of coverage, intensity, echo height, and forecaster confidence. The experimental CDM Convective Forecast Planning (CCFP) guidance graphics are produced every 2 hours and valid at 2-, 4-, 6-, and 8-hours after issuance time.
The experimental CDM Convective Forecast Planning (CCFP) guidance will be automatically produced from the NOAA SREF, HRRR, HIRES ARW models, but will share the same format and be disseminated exactly as the human-produced Collaborated Convective Forecast Product. Additionally, to meet user needs, the experimental CDM Convective Forecast Planning (CCFP) guidance will be issued through March 1, 2016
|| eCCFP_PDD 11.pdf|
|[Modification] 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|| CAWS_PDD.pdf|
|[Modification] 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|| WPC_WinWx_PDD.pdf|
|[Modification] Experimental Enhanced Data Display||Multi-purpose web-based, cross-platform GIS system that provides our partners and customers with a single comprehensive web-based interface to access both forecasts and observations of any nature (public, fire, marine, aviation, hydrologic, climate, etc.). EDD puts this information in one place making it very easy to display and manipulate this data. EDD is hosted on the National Internet Dissemination System (NIDS) and was developed by the Weather Ready Nation Pilot Project in Charleston, WV..|| EDD_PDD_07_9_13.pdf|
|[Modification] Experimental Enhanced Graphical Hazardous Weather Outlook (EHWO)||The NWS core mission is to provide accurate and timely hazardous weather information for the protection of life and property. Although the textual Hazardous Weather Outlook (HWO) plays a vital role in supporting the NWS mission, effectively conveying hazardous weather information in a textual or narrative format can prove challenging to an increasingly diverse customer base.
The EHWO is a decision support service that supports preparedness and response efforts prior to and during hazardous weather. In conjunction with the textual HWO, the clear and concise Internet-based EHWO graphics provides decision makers with convenient access to potential weather hazard information by graphically depicting the risk of multiple weather hazards out to seven days in the future.
The Advanced Weather Interactive Processing System (AWIPS) Graphical Forecast Editor (GFE) produced EHWO packages multi-level color coded hazard graphics and text within a comprehensive web page suite. Further, weather hazards and thresholds are easily customized based on external customer needs for a particular office. Ultimately, workload is conserved through the use of existing local and national guidance GFE grids such as the Storm Prediction Center and the Hydrometeorological Prediction Centers, supporting a seamless office to office presentation.
|| SGF_ EHWO_PDD_final.pdf|
|[Modification] Experimental Forecast of Reference Crop Evapotranspiration (FRET) for Short Canopy Vegetation||FRET is the expected depth of water (in hundredths of inches) that would evaporate and transpire from a reference crop under the forecast weather conditions on a daily and weekly basis over the next 7 days. The FRET is for short crops with an approximate height of 12 cm similar to full cover grasses. Daily FRET grids for the next 7 days, total FRET grids for the 7-day period, FRET departure from normal grids, and climatology grids for reference evapotranspiration are available via a web page interface for the nation via the NDFD.An ETT text product composed of a supplemental table generated from the gridded data is available at: http://www.nws.noaa.gov/view/validProds.php?prod=ETT || FRET_PDD.pdf|
|[Modification] Experimental Forecast of Reference Evapotranspiration for Short Canopy Vegetation (CR)||The experimental reference evapotranspiration forecast will be displayed as a graphic of gridded data within the WFOs county warning area. The forecast is the expected amount of daily reference evapotranspiration in hundredths of an inch for the next 7 days and a total reference of evapotranspiration for the 7 day period. The forecast is calculated by standardizing on the tall canopy vegetation (50 cm full cover alfalfa) algorithm. This product will be issued three times a day around 5 am, 12 pm, and 4 pm local time. || PDD_Extension_Central_Region_Evapotranspiration_Digital_Forecast.pdf|
|[Modification] Experimental Forecast of Reference Evapotranspiration for Short Canopy Vegetation (WR)||The experimental reference evapotranspiration forecast will be displayed as a graphic of gridded data and a supplemental tabular display of selected sites within the WFOs county warning area. The forecast is the expected amount of daily reference evapotranspiration in hundredths of an inch for the next 7 days and a total reference of evapotranspiration for the 7 day period. The forecast is calculated by standardizing on the short canopy vegetation (12 cm or 4.72 in grasses or alfalfa) algorithm. This product will be issued twice a day around 5 am and pm local time.|| FRET_Ext_PDD.pdf|
|[Modification] 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.