| Dust radiative forcing in snow of the Upper Colorado River Basin: 1. A 6 year record of energy balance, radiation, and dust concentrations TH Painter, SMK Skiles, JS Deems, AC Bryant, CC Landry Water Resources Research 48 (7), 2012 | 224 | 2012 |
| Dust radiative forcing in snow of the Upper Colorado River Basin: 2. Interannual variability in radiative forcing and snowmelt rates SMK Skiles, TH Painter, JS Deems, AC Bryant, CC Landry Water Resources Research 48 (7), 2012 | 204 | 2012 |
| Radiative forcing by light absorbing impurities in snow from MODIS surface reflectance data TH Painter, AC Bryant, SMK Skiles Geophysical Research Letters 39 (17), 2012 | 172 | 2012 |
| Imaging spectroscopy of albedo and radiative forcing by light‐absorbing impurities in mountain snow TH Painter, FC Seidel, AC Bryant, S McKenzie Skiles, K Rittger Journal of Geophysical Research: Atmospheres 118 (17), 9511-9523, 2013 | 134 | 2013 |
| The role of microbes in snowmelt and radiative forcing on an Alaskan icefield GQ Ganey, MG Loso, AB Burgess, RJ Dial Nature Geoscience 10 (10), 754-759, 2017 | 121 | 2017 |
| Composition of dust deposited to snow cover in the Wasatch Range (Utah, USA): Controls on radiative properties of snow cover and comparison to some dust-source sediments RL Reynolds, HL Goldstein, BM Moskowitz, AC Bryant, SMK Skiles, ... Aeolian research 15, 73-90, 2014 | 77 | 2014 |
| Deep learning classification for crop types in north dakota Z Sun, L Di, H Fang, A Burgess IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 74 | 2020 |
| Impact of dust radiative forcing in snow on accuracy of operational runoff prediction in the Upper Colorado River Basin AC Bryant, TH Painter, JS Deems, SM Bender Geophysical Research Letters 40 (15), 3945-3949, 2013 | 67 | 2013 |
| Geoweaver: Advanced cyberinfrastructure for managing hybrid geoscientific AI workflows Z Sun, L Di, A Burgess, JA Tullis, AB Magill ISPRS International Journal of Geo-Information 9 (2), 119, 2020 | 33 | 2020 |
| Satellite-based estimation of temporally resolved dust radiative forcing in snow cover SD Miller, F Wang, AB Burgess, S McKenzie Skiles, M Rogers, TH Painter Journal of Hydrometeorology 17 (7), 1999-2011, 2016 | 16 | 2016 |
| The role of microbes in snowmelt and radiative forcing on an Alaskan icefield, Nat. Geosci., 10, 754–759 GQ Ganey, MG Loso, AB Burgess, RJ Dial | 15 | 2017 |
| Automatically classifying and interpreting polar datasets with Apache Tika AB Burgess, CA Mattmann Proceedings of the 2014 IEEE 15th International Conference on Information …, 2014 | 12 | 2014 |
| Interview with Jack Spadaro: On Being a Whistleblower for Mine Safety and Health A Bryant, P Jamison, C Jenkins, S Pepper, L Weinstein, PD Beaver, ... Appalachian Journal 34 (3/4), 326-350, 2007 | 5 | 2007 |
| Deep Learning Cyberinfrastructure for Crop Semantic Segmentation Z Sun, L Di, H Fang, AB Burgess, N Singh AGU Fall Meeting Abstracts 2019, IN32B-04, 2019 | 4 | 2019 |
| Towards practical artificial intelligence in Earth sciences Z Sun, T ten Brink, W Carande, G Koren, N Cristea, C Jorgenson, B Janga, ... Computational Geosciences, 1-25, 2024 | 2 | 2024 |
| TREC Dynamic Domain: Polar Science. AB Burgess, C Mattmann, G Totaro, LJ McGibbney, PM Ramirez TREC, 2015 | 2 | 2015 |
| Hydrologic impacts of dust on snow in the Upper Colorado River Basin AB Burgess The University of Utah, 2014 | 2 | 2014 |
| GeoSMART: Machine Learning Training and Curriculum Development for Earth Science Studies NC Cristea, Z Sun, AA Arendt, ST Henderson, M Denolle, A Burgess AGU Fall Meeting Abstracts 2022, ED22B-0550, 2022 | 1 | 2022 |
| Advanced Geospatial Cyberinfrastructure for Deep Learning Posters Z Sun, L Di, D Tong, AB Burgess AGU Fall Meeting 2019, 2019 | 1 | 2019 |
| ESIP's Earth Science Knowledge Graph (ESKG) Testbed Project: An Automatic Approach to Building Interdisciplinary Earth Science Knowledge Graphs to Improve Data Discovery LJ McGibbney, Y Jiang, AB Burgess AGU Fall Meeting Abstracts 2017, IN33C-0131, 2017 | 1 | 2017 |