Talks

Invited Talks

1. Multi-scale methane measurements at oil and gas facilities reveal necessary framework for improved emissions accounting.
   William Daniels.
   Stanford - Methane Emissions Technology Alliance (META), (2022).
   [PDF]
   
   
2. Leveraging multiple continuous monitoring sensors for emission identification and localization on oil and gas facilities.
   William Daniels.
   Colorado School of Mines - Applied Mathematics and Statistics (AMS) Graduate Student Colloquium, (2022).
   [PDF]
   
   
3. Building intuition around common statistical learning techniques.
   William Daniels.
   University of Colorado Boulder - Quantitative Exploration and Discussion (QED) Supergroup, (2022).
   [PDF]
   
   
4. Using climate mode indices to forecast carbon monoxide variability in fire-prone Southern Hemisphere regions.
   William Daniels.
   International Global Atmospheric Chemistry (IGAC) 16th Scientific Conference - MANGO Session, (2021).
   [PDF]
   
   

Conference Presentations

1. Estimating methane emission durations using continuous monitoring systems.
   William Daniels, Meng Jia, Dorit Hammerling.
   American Chemical Society (ACS) Fall Meeting, (2024).
   [PDF]
   
   
2. Bayesian hierarchical model for methane emission source apportionment.
   William Daniels, Douglas Nychka, Dorit Hammerling.
   Joint Statistical Meetings (JSM), (2024).
   
   
3. Comparing different sensor types for continuous monitoring of methane emissions at oil and gas sites.
   Michael Basanese, William Daniels, Dorit Hammerling.
   Mines Undergraduate Research Symposium, (2024).
   [PDF]
   
   
4. A data-driven algorithm to optimize the placement of continuous monitoring sensors on oil and gas sites.
   Meng Jia, Troy Sorensen, William Daniels, Dorit Hammerling.
   Mines Graduate Research and Discovery Symposium (GRADS), (2024).
   [PDF]
   
   
5. Estimating methane emission durations using continuous monitoring systems.
   William Daniels, Meng Jia, Dorit Hammerling.
   Mines Graduate Research and Discovery Symposium (GRADS), (2024).
   [PDF]
   
   
6. Reconciling bottom-up inventories and top-down measurements on individual oil and gas sites using continuous monitoring systems.
   William Daniels, Meng Jia, Dorit Hammerling.
   AGU Fall Meeting, (2023).
   [AGU] [PDF]
   
   
7. A data-driven algorithm to optimize the placement of continuous monitoring sensors on oil and gas sites.
   Meng Jia, Troy Sorensen, William Daniels, Dorit Hammerling.
   AGU Fall Meeting, (2023).
   [AGU] [PDF]
   
   
8. Developing methane emissions inventories for oil and gas production sites using point-in-space continuous monitors.
   William Daniels, Lyra Wang, Arvind Ravikumar, Dorit Hammerling.
   International Emissions Inventory Conference, (2023).
   [PDF]
   
   
9. Interpretable model captures complex relationship between climate variability and fire season intensity in Maritime Southeast Asia.
   William Daniels, Rebecca Buchholz, Helen Worden, Fatimah Ahamad, Dorit Hammerling.
   International Association of Wildland Fire - Fire and Climate Conference, (2022).
   [PDF]
   
   
10. Leveraging multiple continuous monitoring sensors for emissions alerting on oil and gas facilities.
    William Daniels, Meng Jia, Dorit Hammerling, Shyla Kupis, Nasr Alkadi, Anna Scott.
    AGU Fall Meeting, (2021).
    [AGU] [Recording] [PDF]
    
    
11. Predicting fire season intensity in Maritime Southeast Asia with interpretable models.
    William Daniels, Rebecca Buchholz, Helen Worden, Fatimah Ahamad, Dorit Hammerling.
    American Statistical Association CO/WY Fall Meeting, (2021).
    [PDF]
    
    
12. Using atmospheric carbon monoxide models to predict fire season intensity.
    William Daniels, Fatimah Ahamad, Rebecca Buchholz, Dorit Hammerling, Helen Worden.
    Spatial and Temporal Statistics Symposium (STSS), (2021).
    [PDF]
    
    
13. Optimizing genetic algorithm parameters for atmospheric carbon monoxide modeling.
    Meera Duggal, William Daniels, Dorit Hammerling.
    Electronic Undergraduate Statistics Research Conference (eUSR), (2020).
    [eUSR] [PDF]
    
    
14. Using the climate to model atmospheric carbon monoxide.
    William Daniels, Dorit Hammerling, Rebecca Buchholz.
    Mines Graduate Research and Discovery Symposium (GRADS), 8th Annual, (2020).
    [GRADS] [PDF]
    
    
15. What can elves tell us about very strong lightning?.
    William Daniels, Kevin-Druis Merenda, Lawrence Wiencke.
    APS April Meeting, Volume 64, Number 3, (2019).
    [APS] [PDF]