| The Airborne Snow Observatory: Fusion of scanning lidar, imaging spectrometer, and physically-based modeling for mapping snow water equivalent and snow albedo TH Painter, DF Berisford, JW Boardman, KJ Bormann, JS Deems, ... Remote Sensing of Environment 184, 139-152, 2016 | 479 | 2016 |
| Temperature response to future urbanization and climate change D Argüeso, JP Evans, L Fita, KJ Bormann Climate dynamics 42, 2183-2199, 2014 | 331 | 2014 |
| Estimating snow-cover trends from space KJ Bormann, RD Brown, C Derksen, TH Painter Nature Climate Change 8 (11), 924-928, 2018 | 328 | 2018 |
| Spatial and temporal variability in seasonal snow density KJ Bormann, S Westra, JP Evans, MF McCabe Journal of hydrology 484, 63-73, 2013 | 148 | 2013 |
| Dust dominates high-altitude snow darkening and melt over high-mountain Asia C Sarangi, Y Qian, K Rittger, L Ruby Leung, D Chand, KJ Bormann, ... Nature Climate Change 10 (11), 1045-1051, 2020 | 135 | 2020 |
| Direct insertion of NASA Airborne Snow Observatory‐derived snow depth time‐series into the iSnobal energy balance snow model AR Hedrick, D Marks, S Havens, M Robertson, M Johnson, M Sandusky, ... Water Resources Research, 2018 | 106 | 2018 |
| Comparing aerial lidar observations with terrestrial lidar and snow‐probe transects from NASA's 2017 SnowEx campaign WR Currier, J Pflug, G Mazzotti, T Jonas, JS Deems, KJ Bormann, ... Water Resources Research 55 (7), 6285-6294, 2019 | 80 | 2019 |
| Satellite based observations for seasonal snow cover detection and characterisation in Australia KJ Bormann, MF McCabe, JP Evans Remote Sensing of Environment 123, 57-71, 2012 | 62 | 2012 |
| Impact of light-absorbing particles on snow albedo darkening and associated radiative forcing over high-mountain Asia: high-resolution WRF-Chem modeling and new satellite … C Sarangi, Y Qian, K Rittger, KJ Bormann, Y Liu, H Wang, H Wan, G Lin, ... Atmospheric Chemistry and Physics 19 (10), 7105-7128, 2019 | 60 | 2019 |
| Multi-sensor fusion using random forests for daily fractional snow cover at 30 m K Rittger, M Krock, W Kleiber, EH Bair, MJ Brodzik, TR Stephenson, ... Remote Sensing of Environment 264, 112608, 2021 | 52 | 2021 |
| Watershed-scale mapping of fractional snow cover under conifer forest canopy using lidar TS Kostadinov, R Schumer, M Hausner, KJ Bormann, R Gaffney, ... Remote Sensing of Environment 222, 34-49, 2019 | 45 | 2019 |
| Using the airborne snow observatory to assess remotely sensed snowfall products in the California Sierra Nevada A Behrangi, KJ Bormann, TH Painter Water Resources Research 54 (10), 7331-7346, 2018 | 37 | 2018 |
| Constraining snowmelt in a temperature-index model using simulated snow densities KJ Bormann, JP Evans, MF McCabe Journal of hydrology 517, 652-667, 2014 | 37 | 2014 |
| A high-resolution data assimilation framework for snow water equivalent estimation across the Western United States and validation with the airborne snow observatory CM Oaida, JT Reager, KM Andreadis, CH David, SR Levoe, TH Painter, ... Journal of Hydrometeorology 20 (3), 357-378, 2019 | 35 | 2019 |
| Mapping snow depth from Ka-band interferometry: Proof of concept and comparison with scanning lidar retrievals D Moller, KM Andreadis, KJ Bormann, S Hensley, TH Painter IEEE Geoscience and Remote Sensing Letters 14 (6), 886-890, 2017 | 35 | 2017 |
| High‐elevation evapotranspiration estimates during drought: Using streamflow and NASA Airborne Snow Observatory SWE observations to close the Upper Tuolumne River Basin water … B Henn, TH Painter, KJ Bormann, B McGurk, AL Flint, LE Flint, V White, ... Water Resources Research 54 (2), 746-766, 2018 | 33 | 2018 |
| Evaluation of VIIRS and MODIS snow cover fraction in high-mountain Asia using landsat 8 OLI K Rittger, KJ Bormann, EH Bair, J Dozier, TH Painter Frontiers in Remote Sensing 2, 647154, 2021 | 30 | 2021 |
| Regional climate model projections of the South Pacific Convergence Zone JP Evans, K Bormann, J Katzfey, S Dean, R Arritt Climate dynamics 47, 817-829, 2016 | 27 | 2016 |
| From drought to flood: A water balance analysis of the Tuolumne River basin during extreme conditions (2015–2017) AR Hedrick, D Marks, HP Marshall, J McNamara, S Havens, E Trujillo, ... Hydrological Processes 34 (11), 2560-2574, 2020 | 24 | 2020 |
| Quantifying the spatial variability of a snowstorm using differential airborne lidar WT Brandt, KJ Bormann, F Cannon, JS Deems, TH Painter, DF Steinhoff, ... Water Resources Research 56 (3), e2019WR025331, 2020 | 21 | 2020 |
Jason EvansUniversity of New South Walesยืนยันอีเมลแล้วที่ unsw.edu.au
