| Multiscale methane measurements at oil and gas facilities reveal necessary frameworks for improved emissions accounting JL Wang, WS Daniels, DM Hammerling, M Harrison, K Burmaster, ... Environmental science & technology 56 (20), 14743-14752, 2022 | 24 | 2022 |
| Toward Multiscale Measurement-Informed Methane Inventories: Reconciling Bottom-Up Site-Level Inventories with Top-Down Measurements Using Continuous Monitoring Systems WS Daniels, JL Wang, AP Ravikumar, M Harrison, SA Roman-White, ... Environmental Science & Technology 57 (32), 11823-11833, 2023 | 7 | 2023 |
| Comparison of the Gaussian plume and puff atmospheric dispersion models for methane modeling on oil and gas sites M Jia, W Daniels, D Hammerling | 3 | 2023 |
| Detection, localization, and quantification of single-source methane emissions on oil and gas production sites using point-in-space continuous monitoring systems WS Daniels, M Jia, DM Hammerling Elementa: Science of the Anthropocene 12 (1), 2024 | 2 | 2024 |
| Interpretable models capture the complex relationship between climate indices and fire season intensity in Maritime Southeast Asia WS Daniels, RR Buchholz, HM Worden, F Ahamad, DM Hammerling Journal of Geophysical Research: Atmospheres 127 (17), e2022JD036774, 2022 | 2* | 2022 |
| Initial findings from continuous monitoring of oil and gas operations W Daniels, J Crompton, D Hammerling, MD Bazilian Payne Institute Commentary Series: Research, 2021 | 1 | 2021 |
| New method for tracking down methane emissions on oil and gas sites W Daniels, D Hammerling, M Bazilian Payne Institute Commentary Series: Commentary, 2024 | | 2024 |
| Reconciling Bottom-Up Inventories and Top-Down Measurements on Individual Oil and Gas Sites using Continuous Monitoring Systems W Daniels, M Jia, D Hammerling AGU23, 2023 | | 2023 |
| A data-driven algorithm to optimize the placement of continuous monitoring point-sensors on oil and gas sites M Jia, T Sorensen, W Daniels, D Hammerling AGU23, 2023 | | 2023 |
| Estimating methane emissions on oil and gas facilities using continuous monitoring data D Hammerling, W Daniels, M Jia AGU Fall Meeting Abstracts 2022, GC55C-03, 2022 | | 2022 |
| A statistically robust gridded product for TROPOMI methane data with applications to oil and gas monitoring in the Permian basin D Hammerling, W Daniels, O Khaliukova, B Gilbert, S Crowell AGU Fall Meeting 2021, 2021 | | 2021 |
| Leveraging Multiple Continuous Monitoring Sensors for Emissions Alerting on Oil and Gas Facilities W Daniels, M Jia, D Hammerling, S Kupis, N Alkadi, A Scott AGU Fall Meeting Abstracts 2021, GC24D-06, 2021 | | 2021 |
| Improving satellite monitoring of methane emissions: data science is fundamental to better emissions tracking D Hammerling, W Daniels, M Bazilian, B Bowser Payne Institute Commentary Series: Research, 2021 | | 2021 |
| Statistical Methods for the Interpretation, Prediction, and Localization of Remotely Sensed Atmospheric Pollutants WS Daniels Colorado School of Mines, 2021 | | 2021 |
| Student-led investigation of TROPOMI data for the US D Hammerling, L Blake, W Daniels, A Dykstal, S Crowell EGU General Assembly Conference Abstracts, 22133, 2020 | | 2020 |
| Improving Atmospheric Carbon Monoxide Models W Daniels, D Hammerling, R Buchholz | | |
| Using Climate Mode Indices to Forecast Carbon Monoxide Variability in Fire-Prone Southern Hemisphere Regions W Daniels, DM Hammerling, RR Buchholz, HM Worden, F Ahamad | | |
| Genetic Algorithm Optimization Study for Atmospheric Carbon Monoxide Models M Duggal, W Daniels, D Hammerling | | |
Dorit HammerlingAssociate Professor of StatisticsVerified email at mines.edu
