NCASI Climate Web Application
UFDS collaboration with NCASI: Climate forestry web Application
Posts by Collection
portfolio
NOAA Research Exprience
Story of the snow droughts project during my time at NOAA
Seismology Research Exprience
Detailing my work with the Harvard and UWashington Seismology Groups
Undergraduate Forestry Data Science Lab Research Experience
Details my role working with PI Kelly McConville on two data science projects.
publications
Building Toy Dams: Modeling Stream Flow Around Obstacles in a Porous Media
December 18, 2021
Here, Chelsea Chen and I explore simulations of streamflow in a porous media with the twist of adding obstacles to see how the flow responds - we built a “castle” and watched streamflow erode around it!
Access here
Aqua Alta: Venice - a city built on water
April 30, 2022
Using state-of-the-art sea level fingerprinting alongside topographical information of Venice to assess sea level rise for the city in 2100.
Access here
Illuminating Snow Droughts: The Future of Western United States snowpack in the high-resolution coupled SPEAR large ensemble
May 25, 2024
Tracking Snow in a Changing Climate
Recommended citation: Schmitt, J., Tseng, K.-C., Hughes, M., & Johnson, N. C. (2024). Illuminating snow droughts: The future of western United States snowpack in the SPEAR large ensemble. Journal of Geophysical Research: Atmospheres, 129, e2023JD039754. https://doi.org/10.1029/2023JD039754
Small area estimation of forest biomass via a two-stage model for continuous zero-inflated data
June 04, 2024
Building and Evaluating a two-part mixed-effects model for forestry data in a zero-inflated setting.
Recommended citation: White, Grayson W., Josh K. Yamamoto, Dinan H. Elsyad, Julian F. Schmitt, Niels H. Korsgaard, Jie Kate Hu, George C. Gaines III, Tracey S. Frescino, and Kelly S. McConville. "Small area estimation of forest biomass via a two-stage model for continuous zero-inflated data." arXiv preprint arXiv:2402.03263 (2024). https://arxiv.org/abs/2402.03263
talks
Cloud Computing for Seismology
Published:
Co-presented a tutorial on using commercial cloud computing services for seismology applications with PI Marine Denolle and Tim Clements to the Stanford Seismology Group led by Professor Beroza. I provided a technical workflow example using the Julia programming language on AWS with step-by-step instructions for getting started with AWS: from selecting instance configurations and getting key pairs set up to create an Amazon machine image built with Julia packages.
Ground motion prediction using ambient seismic noise on a large-N array in the LA basin
Published:
Presented some early findings from the BASIN Project at the Southern California Earthquake Center’s 2020 Fall meeting. Here, we compared results from the empirical calculations alongside numerical simulations. The poster presentation can be found here.
Comprehensive California-wide large-scale noise cross correlations
Published:
At AGU 2020, I outlined the high-performance computing framework developed during my time with the Harvard Seismology Group. The project, entitled: C4: Comprehensive California Cross-Correlations, was presented during session 022 (Seismology). Below is a preview video I made as the extended version of my oral talk.
Snow Droughts: The Future of Snowpack in the Western United States
Published:
Presented ongoing research on snow droughts in the Western United States. Special thanks to the NOAA Hollings Scholarship program for funding this project. Please feel free to check out the talk on YouTube.
Results from the Summer 2022 Undergraduate Forestry Data Science Program
Published:
Product demonstration of an RShiny website we developed as part of the Harvard Undergraduate Forestry Data Science program in collaboration with our stakeholder NCASI. Here we combine CMIP5 and CMIP6 large ensemble climate data with forestry data to model how changes in climate are expected to impact tree species distributions. We particularly focus on user experience and interactivity alongside developing graphics that contain measures of uncertainty while still being accessible to an audience with a wide range of statistical acumen.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.