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DTSTART;TZID=Europe/Stockholm:20230626T163000
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UID:submissions.pasc-conference.org_PASC23_sess159_msa200@linklings.com
SUMMARY:Modern Software Development for Atmospheric Parameterizations and 
 Sub-Grid Scale Models
DESCRIPTION:Minisymposium\n\nAnna Jaruga, Charles Kawczynski, Nat Efrat-He
 nrici, Dennis Yatunin, Sajjad Azimi, Costa Christopoulos, and Zhaoyi Shen 
 (California Institute of Technology, CliMA) and Tapio Schneider (Californi
 a Institute of Technology, NASA)\n\nClouds, precipitation, aerosol and tur
 bulence are major sources of uncertainty for global Earth System Models (E
 SM). The relevant length and time scales are smaller than what can be reso
 lved by ESMs, making parameterizations essential. For some of the paramete
 rized processes our scientific understanding is still limited, while for o
 thers the sheer observed variability makes the parameterization design a c
 hallenge. The growing available computational resources will not solve tho
 se problems any time soon, but offer new possibilities, provided the resea
 rch software can be easily adapted to the new architectures. The growing p
 ublic demand for robust and actionable climate forecasts highlights the ne
 ed for model uncertainty quantification and quality control. I work at Cli
 MA where I'm responsible for the development of new unified sub-grid scale
  model of turbulence, convection and clouds including the cloud microphysi
 cs and aerosol processes. I want to share the lessons I learned on: (i) th
 e benefits of unified sub-grid scale parameterization stack, (ii) document
 ation driven development, (iii) when to re-implement and when to code some
 thing new, (iv) collaborations between software engineers, scientists and 
 students, (v) speeding up development by carefully chosen automated suits 
 of tests, (vi) using machine learning in parameterization design and devel
 opment.\n\nDomain: Climate, Weather and Earth Sciences\n\nSession Chair: M
 ichael Schmidt (Sandia National Laboratories)
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