Development and analysis of Global-Nest and Global Storm Resolving Models

The Atmospheric and Oceanic Sciences Program at Princeton University, in cooperation with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks 2-3 postdoctoral or more senior researchers to join the NOAA Research Global-Nest project. This multi-laboratory project aims to develop ultra-high resolution atmospheric prediction models for better prediction, understanding, and projection of extreme weather events. These include, but are not limited to, atmospheric rivers, tornadic thunderstorm outbreaks, "bomb" cyclones and associated winter storms, landfalling hurricanes, and hydroclimate extremes. Both phenomena and their impacts will be investigated, as will potential changes in these events in warmed climates.

The successful applicants will work with members of the GFDL FV3 Team on the following topics, using the FV3-based GFDL System for High-resolution prediction on Earth-to-Local Domains (SHiELD: www.gfdl.noaa.gov/shield/):
1.Analysis, validation, and understanding of the characteristics of simulated extreme weather events, including their physical processes, larger-scale environments, predictability, and impacts.
2.Analysis of synoptic-scale, planetary-scale, or surface-atmosphere interactions with mesoscale and convective-scale circulations, especially extreme events.

There will be a particular emphasis upon the development and use of new two-way global-to-regional nested and global storm-resolving configurations of SHiELD designed to reach convective scales (< 5="" km)="" over="" the="" contiguous="" united="" states="" and="" surrounding="" waters.="" the="" principal="" goals="" of="" the="" applicant's="" research="" will="" be="" performing="" analyses="" and="" developing="" products,="" and="" may="" also="" involve="" contributing="" to="" model="" development="" activities.="" the="" project="" cooperates="" with="" the="" atlantic="" oceanic="" and="" meteorological="" laboratory="" (aoml),="" national="" severe="" storms="" laboratory="" (nssl),="" and="" other="" university="" and="" laboratory="" collaborators.="" this="" work="" also="" ties="" directly="" to="" development="" of="" the="" unified="" forecast="" system="" (ufs)="" and="" gfdl="" seamless="" modeling="" suite="" for="" weather="" and="" climate="" modeling.="" all="" applicants="" should="" have="" a="" strong="" background="" in="" using="" common="" programming="" and="" scripting="" languages="" to="" analyze="" or="" otherwise="" use="" large="" meteorological="" datasets,="" including="" numerical="" model="" output,="" field="" campaign="" data,="" reanalysis,="" and="" both="" remote="" and="" in-situ="" observations.="" experience="" with="" model="" development="" and="" high-performance="" computing="" is="" desirable="" but="" not="" necessary.="" applicants="" with="" experience="" in="" applying="" machine-learning="" techniques="" to="" research="" will="" be="" given="" special="" consideration.="" selected="" applicants="" will="" be="" expected="" to="" work="" in="" a="" collaborative="" environment,="" adhere="" to="" best="" software="" and="" data="" practices,="" write="" technical="" notes="" and="" peer-reviewed="" publications="" on="" their="" work,="" and="" for="" their="" work="" to="" be="" prepared="" for="" use="" by="" coworkers="" and="" external="" collaborators="" after="" publication.="" these="" are="" one="" year="" positions="" with="" potential="" for="" an="" additional="" year="" based="" on="" candidate="" performance="" and="" continued="" funding.="" candidates="" should="" have="" a="" doctoral="" degree="" in="" atmospheric="" science="" or="" a="" related="" field.="" applicants="" are="" asked="" to="" submit="" a="" cv,="" publication="" list,="" a="" one-to-two="" page="" statement="" of="" research="" interests,="" and="" contact="" information="" for="" 3="" references.="" review="" of="" applications="" will="" begin="" as="" soon="" as="" they="" are="" received="" and="" continue="" until="" the="" position="" is="" filled.="" princeton="" is="" interested="" in="" candidates="" who,="" through="" their="" research,="" will="" contribute="" to="" the="" diversity="" and="" excellence="" of="" the="" academic="" community.="" applicants="" should="" apply="" online="" at="" https://puwebp.princeton.edu/acadhire/position/27661.="" for="" more="" information="" about="" the="" research="" project="" and="" application="" process,="" please="" contact="" lucas="" harris="" at="" [email protected],="" jan-huey="" chen="" at="" [email protected],="" or="" kun="" gao="" at="" [email protected].="" the="" position="" is="" subject="" to="" the="" university's="" background="" check="">