Researcher/Scientist III, Hydrology and Atmospheric Sciences

Design and conduct long-term modeling experiments using the off-line (uncoupled) Noah-MP land model and subseasonal-to-seasonal (S2S) model predictions using the coupled UFS/Noah-MP model over the entire globe. Evaluate the coupled UFS/Noah-MP model's land memory using various ground-based and satellite remote-sensing data. Identify and quantify key hydrological and ecological processes contributing to land memory. Improve the model's representation of key processes and its S2S predictability. Participate in the acquisition of research funding by assisting with and contributing to grant proposals, supporting documents, and literature reviews. Write research progress reports, manuscripts, and articles and produce other research products (e.g., data products and model code). Train and advise PhD students in conducting modeling experiments and data analysis. Knowledge, Skills, and Abilities (KSAs): Strong skills in the coupled land and atmosphere modeling, preferably with the coupled UFS/Noah-MP model. Proficient in computer programming (e.g., Python, Fortran, C, MATLAB, and/or R). Skill in scientific writing, including preparing manuscripts for peer-reviewed journals. Skill in analyzing and managing large datasets and applying high-performance computing (Unix/Linux environments). Knowledge of machine learning techniques and their application in climate or hydrologic modeling.