Who's Who: Laurie Carson

Summer 2014 |

Who's Who: Tim Brown

Winter 2014 | If you still harbor a notion that software engineers live narrow lives, a few minutes with Tim will quickly persuade you otherwise. Between his present 3-year stint with DTC’s hurricane task and graduate school in Perth, Australia, Tim has worked in Toronto with the Ontario Institute for Cancer Research; Australia with the Center for Water Research; Switzerland, the UK and Antarctica. He declines to speculate where his next career move might take him. In Boulder, he… Read More

Who's Who: Ligia Bernardet

Summer 2013 |

Who's Who: John Halley Gotway

Spring 2013 | If you’ve submitted a question to the MET help desk, or attended a MET tutorial, there’s a very good chance that you already know John Halley Gotway. John joined NCAR’s Research Applications Laboratory (RAL) as a software developer in 2004 and has been contributing to the verification efforts within RAL and the DTC. John’s background is in mathematics. He worked in Los Angeles at Northrop Grumman, before NCAR and the Rockies drew him to Colorado. His expertise is in… Read More

Bridges to Operations: Innovation in HWRF 2013 Baseline

Spring 2013 | One of the regional numerical weather prediction models used operationally by the National Weather Service is the Hurricane WRF (HWRF), a coupled model with atmospheric and ocean components that exchange fluxes of short- and long-wave radiation, momentum, moisture, and heat. The momentum flux is particularly important because the strong winds in tropical cyclones cause turbulence and upwelling in the ocean, which can lead to transport of cold water from deep in the ocean towards the surface, reducing the… Read More

Visitors: Cold Pools and the WRF

Summer 2013 | Robert Fovell and Travis Wilson from the University of California/Los Angeles recently completed a visitor project titled “Improvements to modeling persistent surface cold pools in WRF”, aspects of which will be part of Travis’ PhD work. Travis spent nine months working at the DTC in Boulder, much of the time with his DTC host Jamie Wolff, and Rob visited for two weeks in March and June. A principal motivation for their study was the occasionally poor prediction in numerical models (including in WRF) of the… Read More

Community Connections: An HWRF Tutorial in Taiwan

Summer 2014 | Tim Brown-DTC, Qingfu Liu-EMC, Yong Kwon-formerly of EMC, Ligia Bernardet-DTC, Vijay Tallapragada-EMC, and Sam Trahan-EMC some of the HWRF instructors, May 2014, Taipei, Taiwan.

Community Connections: Community Software Maintenance and Support

Winter 2014 | One function of the DTC has been to archive and maintain important model-related code, and to make it available to operational and research segments of the meteorological community. As Laurie Carson describes it, the code maintenance and support function has important objectives in both O2R and R2O arenas: for the former, providing operational software to the research community, and for the latter, facilitating transfer of research capabilities to operational software packages. DTC’s approach is based on a… Read More

Community Connections: Object-based Verification at WPC

Summer 2013 | The Weather Prediction Center (WPC) at NCEP has been using MODE to supplement its traditional verification techniques since April 2010. The Method for Object-based Diagnostic Evaluation (MODE), a utility that is part of the MET verification package, has been developed with substantial support from the DTC. Both are systematically expanded and maintained for specific DTC tasks and an array of outside users. MODE output is available to WPC forecasters in real time through an internal website that displays… Read More

Did you know?: NOAA TESTBEDS & THE DTC

Winter 2014 | During California field exercises of the Hydrometeorological Testbed (HMT), a key objective has been to improve longer-range forecasts of so-called “atmospheric rivers” or ARs (narrow streams of mid- to low-level moisture) and other meteorological patterns that produce very heavy rainfall. During efforts to evaluate model forecasts for these exercises the DTC has explored methods that can provide more meaningful verification than standard scores. One such method represents regions of, say, precipitation in… Read More

Did you know?: Did you know....

Summer 2013 | Through its Visitor Program, the DTC is currently working with Adam Clark, a scientist at the Cooperative Institute for Mesoscale Meteorological Studies (CIMMS), on a project that involves using the Method for Object-based Diagnostic Evaluation – Time Domain (MODE-TD) for identification, tracking, and visualization of simulated supercells in high-resolution models, which will be applied and tested during annual NOAA/Hazardous Weather Testbed Spring Forecasting Experiments.

Did you know?: NOAA TESTBEDS & THE DTC

Spring 2013 | For several winter seasons, the DTC has worked with the Hydrometeorology Testbed (HMT) to develop effective verification techniques for ensemble forecasts of heavy winter precipitation associated with atmospheric rivers in California. For example, the performance diagram below displays the impact of model resolution. See additional HMT information and links on the DTC website. See http://www.dtcenter. org/eval/hmt/2012/.

Lead Story: “Building a Weather-Ready Nation by Transitioning Academic Research to NOAA Operations” Workshop

Spring 2018 | The “Building a Weather-Ready Nation by Transitioning Academic Research to NOAA Operations” Workshop was held at the NOAA Center for Weather and Climate Prediction in College Park, Maryland, on November 1-2, 2017. NOAA and UCAR organized the meeting that drew more than one hundred participants from universities, government laboratories, operational centers, and the private sector. Members of the organizing committee included Reza Khanbilvardi, City College of New York, Chandra Kondragunta, NOAA/OAR, Jennifer Mahoney, NOAA/… Read More

Lead Story: U.S. Air Force Weather Modeling and the DTC

Spring 2016 | During the next decade, the Air Force will be working with our national and international modeling partners toward a goal of consolidated capabilities