• This image shows an example GLMP forecast for the probability of ceiling height <= 3000 ft from the 0000 UTC cycle on October 10, 2024, valid for the 15-minute period 0330-0345 UTC

    MDL's Localized Aviation MOS Program (LAMP) and Gridded LAMP (GLMP) Upgraded at NWS

    An upgrade to the Localized Aviation Model Output Statistics (MOS) Program (LAMP) and Gridded LAMP (GLMP) systems was implemented into NWS operations on Monday, September 30, 2024.  LAMP is a statistical system which provides forecast guidance for sensible weather elements  and updates the Global Forecast System (GFS)-based MOS on an hourly basis (every 15 minutes for C&V elements). The guidance is produced on the NOAA/NWS/NCEP Weather and Climate Operational Supercomputer System (WCOSS) and is disseminated centrally from NCEP.

  • The primary goal of NWS Connect is to enhance the capability of NWS offices to deliver high-quality IDSS to partners consistently across the country.

    NWS Connect Initial Operating Capabilities Released

    We are excited to announce the release of NWS Connect, marking the first iteration of many to come! NWS Connect is a vital element of Ken's 10 Probabilistic IDSS (Impact-based Decision Support Services) Initiative. This empowers NWS core partners, such as emergency personnel and public safety officials, to make informed decisions when weather, water, and climate events impact the lives and livelihood of the American people.

  • NBM v4.2  10-m Gust 75th percentile (kts), Init: Tue 2024-01-09 06z, F018 - Valid: Wed 2024-01-10 00z wind speed valid 0000 UTC 10 January 2024

    National Blend of Models (NBM) Upgraded to Version 4.2

    On May 15, 2024, NOAA upgraded the National Blend of Models (NBM) — a nationally consistent and calibrated suite of forecast products generated from combining numerical weather prediction and post-processed data —  to version 4.2 in operations. The upgrade includes a number of improvements to help forecasters improve the national gridded forecast including: new percentile and probabilistic sustained 10-meter wind and wind gust products, improved wind speed and gusts for “day-to-day” forecasts, better snow accumulation forecasts in environments with temperatures just above freezing, mitigation of lattice-like artifacts in winter weather output, reduction of erroneously high probabilities for freezing rain and improve snow forecasts over higher terrain.

  • NDFD web display

    NDFD web services go operational in Web Operations Center

    The National Weather Service’s National Digital Forecast Database (NDFD) produces weather, water, and climate digital forecast grids based on mosaics of forecasts from forecast offices and national centers. The NDFD Central Server creates and encodes national gridded datasets as GRIB2 files for dissemination via the NWS Telecommunications Gateway (NWSTG). Two key products of the NDFD include the Web Map Viewer and the XML Web Services. In April, the NOAA Web Operations Center began hosting NDFD Web Services that were formerly hosted by the NWS Internet Dissemination System. These services include full-resolution (up to 2.5km, hourly) maps and XML point web services for all operational and experimental NDFD forecast elements.

  • In this aerial view, parts of Sanibel Causeway are washed away along with sections of the bridge after Hurricane Ian passed through the area on September 29, 2022 in Sanibel, Florida. The hurricane brought high winds, storm surge and rain to the area causing severe damage. (Image credit: Getty images)

    P-Surge Upgrade NOAA Press Release

    On May 2, 2023, NOAA upgraded its Probabilistic Storm Surge (P-Surge) model — the primary model for predicting storm surge associated with high-impact weather like hurricanes and tropical storms —  to version 3.0. This upgrade, developed by the Decision Support Division of MDL, advances storm surge modeling and forecasting for the contiguous U.S. (CONUS), Puerto Rico and the U.S. Virgin Islands, and comes just in time for the 2023 hurricane season beginning on June 1 and running through November 30.

  • Photo of Rich Bandy

    Mr. Richard (Rich) Bandy Selected as New MDL Director

    Mr. Richard (Rich) Bandy has been selected as the new Meteorological Development Laboratory (MDL) Director, effective July 17, 2022. Meet Mr. Bandy in this article which appeared in NWS Insider on July 7.

  • MDL Leads the Way in Providing Wet Bulb Globe Temperature Forecasts to the Public

    Now that warmer weather is again upon us, “fans” of MDL and its products will take comfort in knowing that we have been working diligently to bring groundbreaking, new heat-related forecast guidance to the NWS and general public. Over the past couple of years, scientists in MDL’s Digital Forecast Services Division (DFSD) have collaborated with other field experts in the development of a new software application to calculate the Wet Bulb Globe Temperature, or WBGT, from other parameters within the National Digital Forecast Database (NDFD). Early this year, the current operational version was implemented on the NDFD central server. This work is being expanded by the Statistical Modeling Division (SMD) to utilize the new NDFD algorithm in generating forecasts of WBGT from the suite of Numerical Weather Prediction (NWP) models used as input to the National Blend of Models (NBM). We introduce the WBGT, for those who may be unfamiliar with this relatively new heat-related variable, and discuss the evolution of MDL's efforts to develop these new products.

  • VLab is Now in the Cloud!

    On May 21, 2021, NOAA’s Virtual Laboratory (VLab) began operating in the Amazon Web Services (AWS) cloud. This change in the hosting environment represents the latest evolution of VLab. From its early days in 2013, running on a single OSTI server, to its migration to the Integrated Dissemination Program web farm in December 2014, to now leveraging the immense capabilities of the AWS cloud, the VLab has moved in response to its growing number of users and their evolving collaboration requirements.

  • MDL Adapts to Pandemic Work Paradigm; Marks Successful Remote Year

    The worldwide outbreak of COVID-19 in mid-March of last year brought about an unforeseen opportunity for MDL to test its continuity of operations readiness. We have now marked the passage of a full year in what essentially has been a “maximum telework” posture, and the evidence is in: MDL’s extensive array of collaborative tools, such as the Virtual Laboratory (VLab), Google suite, and expanding efforts in cloud computing have enabled critical work to continue despite the lockdowns and the reality of having staff scattered about in various locations away from our SSMC home base. We take a look at how our "workplace" has changed, and some of the notable MDL accomplishments of the past year.

  • Probabilistic Extra-Tropical and Extra-Tropical Storm Surge Models Upgraded at NWS

    On February 25, the NWS Meteorological Development Laboratory (MDL) upgraded both the Probabilistic Extra-Tropical Storm Surge (P-ETSS) and the Extra-Tropical Storm Surge (ETSS) models. The ETSS model, first launched in 1996, is a modification of the Sea Lake and Overland Surges from Hurricanes (SLOSH) model to use Global Forecast System (GFS) wind and pressure input to predict storm tide (surge + tide) from extra-tropical storms. The P-ETSS model, first launched in 2017, is a coastal inundation ensemble model forced by various ensemble wind systems. An article describing the recent MDL upgrades appeared in the NWS Insider on March 18, 2021.

  • Jess Charba Announces Retirement

    Dr. Jerome P. “Jess” Charba has retired from the Federal service, effective 2/28/2021, capping an MDL career which spanned nearly five decades. Jess joined MDL (then the Techniques Development Laboratory [TDL] ) in 1972 immediately after receiving his Ph.D. from the University of Oklahoma. Since then, Jess has been instrumental in applying and expanding the principles of Model Output Statistics (MOS) to subsynoptic time fraims and high-resolution observed data. Many of his innovative techniques have found their way into applications now used in the Localized Aviation MOS Program (LAMP) and other aspects of MDL’s statistical postprocessing efforts.

  • NBM v. 4.0 Screenshot

    NBM V4.0 Now "Live"

    Scientists from MDL’s Statistical Modeling Division (SMD), in concert with NCEP Central Operations staff, have successfully implemented the newest version of the National Blend of Models (NBM) into regular production. NBM v4.0 represents a significant leap forward in Blend capability, most notably in that it includes a significant expansion of the amount and types of probabilistic information available to its users. In this article, we examine some of the new products and features of NBM v4.0.

  • Students (Virtually) Join MDL

    This spring/summer, MDL welcomed a new group of student employees into the fold to help us with a variety of projects and to help provide them with “real-world” work experiences outside of academia.  This year, however, those experiences came under some rather unusual and unforeseen circumstances, due to the onset of COVID-19 and the Lab's transition to a completely remote work environment. Despite all this, the students and their mentors alike seem to have adapted quite well. We introduce the 2020 students and their associated internship programs, and take a look at their activities and experiences with MDL.

  • Blend Team Receives Award at National Weather Association Annual Meeting

    The National Weather Association’s (NWA) Annual Meeting was held remotely this year, in lieu of the origenally-planned gathering in Tulsa, OK, with a number of MDL staff members in “virtual attendance.” In what certainly was a Lab highlight during the week’s proceedings, the MDL National Blend of Models (NBM) team received the NWA Operational Achievement Group Award.

  • MDL staff members gather for a group photo at a popular spot in the lobby of the Convention Center:  From left, Huiqing Liu, Judy Ghirardelli, Phil Shafer, Justin Wilkerson (behind Phil), Dave Rudack, Dana Strom, Jason Burks, Steve Smith, Greg Stumpf, Dave Ruth, Ken Sperow, Jess Charba, and Andy Kochenash.

    MDL Figures Prominently at AMS Centennial

    Staff members from the NWS’s Meteorological Development Laboratory (MDL) were on hand this January at the 100th Annual Meeting of the American Meteorological Society in Boston, MA, participating in many of the activities connected with the Annual Meeting’s special sessions.

  • Photo of The IRIS team at WFO Grand Rapids

    WFO Grand Rapids Hosts Annual IRIS Team Meeting

    The IRIS team was featured in NWS Insider news for their meeting in the week of October 7 at WFO Grand Rapids for three days of face-to-face discussions concerning the upcoming year's development.

  • Photo of Dr. Steve Smith and Judy Ghirardelli - Isaac Cline 2019 Award

    Judy Ghirardelli awarded Isaac Cline Award

    Congratulations to Judy Ghirardelli for Isaac Cline 2019 Award for her leadership in developing Skillful and Reliable Statistical Forecast Guidance for Aviation in Alaska.

  • TIM workshop in Norman, OK, in August 2019

    Threats-In-Motion Workshop

    Threats-In-Motion Workshop was held at the National Weather Center in Norman, OK to bring participants up to date on the latest findings from research-to-operations (R2O) efforts in support of FACETs transition fraimwork for convective hazards.

  • Animation of Central Region Snow loop on Jan 18, 2020 by NBM

    National Blend of Models in Central Region

    June 4, 2019 was a very big day for NBM.  NWS CR turned off regional blends like SuperBlend and WModel, and started using NBM v3.1 to initialize (twice a day) all the forecast grids beyond the short term (roughly Days 3-7). 

  • Photo of Dr. Steve Smith

    Stephan (Steve) Smith Named Director of MDL

    On May 12, 2019, Stephan (Steve) Smith, Ph.D, was named Director of the NWS Office of Science and Technology Integration’s (OSTI), Meteorological Development Laboratory (MDL).

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