Assessment of level-3 gridded Global Precipitation Mission (GPM) products over oceans S Khan, V Maggioni Remote Sensing 11 (3), 255, 2019 | 47 | 2019 |
Potential of GPM IMERG precipitation estimates to monitor natural disaster triggers in urban areas: The case of Rio de Janeiro, Brazil A Getirana, D Kirschbaum, F Mandarino, M Ottoni, S Khan, K Arsenault Remote Sensing 12 (24), 4095, 2020 | 34 | 2020 |
Investigating the potential of a global precipitation forecast to inform landslide prediction S Khan, DB Kirschbaum, T Stanley Weather and Climate Extremes 33, 100364, 2021 | 24 | 2021 |
Investigating the potential of using satellite‐based precipitation radars as reference for evaluating multisatellite merged products S Khan, V Maggioni, PE Kirstetter Journal of Geophysical Research: Atmospheres 123 (16), 8646-8660, 2018 | 20 | 2018 |
The September 18-20 2020 Medicane Ianos Impact on Greece-Phase I Reconnaissance Report D Zekkos, G Zalachoris, A Alvertos, P Amatya, P Blunts, M Clark, S Dafis, ... Geer Association, 2020 | 16 | 2020 |
Ensemble representation of satellite precipitation uncertainty using a nonstationary, anisotropic autocorrelation model SH Hartke, DB Wright, Z Li, V Maggioni, DB Kirschbaum, S Khan Water Resources Research 58 (8), e2021WR031650, 2022 | 9 | 2022 |
Global landslide forecasting system for hazard assessment and situational awareness S Khan, DB Kirschbaum, TA Stanley, PM Amatya, RA Emberson Frontiers in Earth Science 10, 878996, 2022 | 9 | 2022 |
Uncertainties associated with the IMERG Multi-Satellite precipitation product S Khan, V Maggioni, L Porcacchia 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 6 | 2016 |
Evaluating the applicability of the PUSH framework to quasi-global infrared precipitation retrievals at 0.5/daily spatial/temporal resolution S Khan, V Maggioni Asia-Pacific Journal of Atmospheric Sciences 56 (4), 629-640, 2020 | 3 | 2020 |
Global landslide hazard assessment for situational awareness (LHASA) Version 2: New activities and future plans D Kirschbaum, T Stanley, P Amatya, R Emberson, S Khan, H Tanyaș EGU-General Assembly 2020: Sharing Geoscience Online, 2020 | 3 | 2020 |
Evaluating High-Resolution Satellite Precipitation Products Globally Over Land and Oceans S Khan George Mason University, 2019 | 1 | 2019 |
Exploring the potential of satellite data to characterize debris flow and landslide hazards within mountainous terrain D Kirschbaum, R Emberson, PM Amatya, T Stanley, S Khan, H Tanyas AGU Fall Meeting Abstracts 2020, NH006-01, 2020 | | 2020 |
Assessing the viability of using GEOS-Forecast Product for Landslides Forecasting-A step toward Early Warning Systems S Khan, DB Kirschbaum, T Stanley EGU General Assembly Conference Abstracts, 20222, 2020 | | 2020 |
Estimating uncertainties associated with quasi-global satellite infrared-based retrievals over land. S Khan, V Maggioni Geophysical Research Abstracts 21, 2019 | | 2019 |
Error characterization of Level-3 gridded GPM-based precipitation products over oceans using OceanRAIN S Khan, V Maggioni AGU Fall Meeting Abstracts 2018, H43H-2560, 2018 | | 2018 |
Evaluation of Climatic Variability of Errors in IMERG Version 04 Precipitation Products S Khan, V Maggioni, PE Kirstetter AGU Fall Meeting Abstracts 2017, H31L-07, 2017 | | 2017 |
Validation of IMERG Satellite Precipitation Product over Ocean and Land against Gauge and Radar Data S Khan, V Maggioni 2016 AGU Fall Meeting, 2016 | | 2016 |
Validation of IMERG Satellite Precipitation Product over Ocean and Land against Gauge and Radar Data V Maggioni, S Khan AGU Fall Meeting Abstracts 2016, H13J-1554, 2016 | | 2016 |