Hyperspectral Satellite Data Assimilation Scientist

University of Colorado; Boulder (CO); Hybrid; USD 72,000 - 114,000; Full time

Benefits offered by this job

Relocation funds

Training program

Mentorship program

Transit benefits (CU Boulder)

Job summary

The University of Colorado Boulder, through CIRES/NOAA GSL, seeks a Satellite Data Assimilation Scientist to advance the RRFS data assimilation suite using MTG-IRS data and satellite retrieval products. The role emphasizes development, testing, and evaluation of assimilation procedures within MPAS-JEDI and collaboration with GSL, RRFS, and UFS communities on research-grade weather prediction improvements.

Qualifications include a Ph.D.

Qualifications

• Ph.D. in meteorology, atmospheric science, or relevant field.
• Minimum of 1 year of experience working on atmospheric data assimilation.
• Strong programming skills in at least one modern language (Fortran or C++).
• Experience with satellite radiance data and data assimilation systems.

Responsibilities

• Develop and test assimilation of MTG-IRS hyperspectral radiance data.
• Develop and test assimilation of satellite retrieval products.
• Tune and optimize satellite data assimilation within the RRFS MPAS-JEDI system.

Skills

Fortran

C++

Version control (Git/GitHub)

High-performance computing

Education

Ph.D. in meteorology or atmospheric science

Tools

JEDI

GSI

DART

MTG-IRS radiance data

RTTM/CRTM radiative transfer models

MPAS

Job description

The University of Colorado Boulder, through CIRES/NOAA GSL, seeks a Satellite Data Assimilation Scientist to advance the RRFS data assimilation suite using MTG-IRS data and satellite retrieval products. The role emphasizes development, testing, and evaluation of assimilation procedures within MPAS-JEDI and collaboration with GSL, RRFS, and UFS communities on research-grade weather prediction improvements.

Qualifications include a Ph.D.