Dr. Dalia B. Kirschbaum is the Chief of the Hydrological Sciences Laboratory at NASA Goddard Space Flight Center, Greenbelt, MD. In this role, she leads an interdisciplinary Earth system science lab at NASA to conduct large-scale hydrological science research using data from NASA’s satellites, land surface models, and fieldwork. Dr. Kirschbaum’s work focuses on rainfall-triggered landslide modeling, monitoring and mapping using remotely sensed information to conduct landslide hazard and risk studies at multiple spatial and temporal scales. Information on landslide modeling, mapping, and citizen science efforts is available at: https://landslides.nasa.gov. Dr. Kirschbaum also serves as the Global Precipitation Measurement (GPM) Mission Deputy Project Scientist for Applications, whereshe provides scientific leadership for applications activities, communiation, and outreach. Dr. Kirschbaum is a Disaster Response Coordinator for the agency, working with other NASA centers as well as domestic and international partners to bring satellite data and products to bear during natural hazard events to improve situational awareness and inform decision making. Dr. Kirschbaum received her M.S. and Ph.D. in Earth and Environmental Sciences from Columbia University with a focus in Natural Hazards and Remote Sensing. She received her A.B. in Geosciences from Princeton University.
My research interests center on rainfall-triggered landslide modeling, focusing on applying remotely sensed surface and precipitation information to landslide hazard models at multiple spatial and temporal scales. My current research focuses on advancing a regional landslide hazard and forecasting system with more quantitative and deterministic models to improve landslide hazard assessment. I am also developing a web-based interface for visualization of landslide hazard and remote sensing products for improved situational awareness of landslide hazards and reported events. This landslide interface represents the first regional/global interface to access landslide reports and contribute events to a global database. A prototype of our current system can be seen at https://pmm.nasa.gov/precip-apps
Dr. Kirschbaum and her team have developed a landslide citizen science system called "Landslide Reporter" that enables anyone to submit a report through the website: https://landslides.nasa.gov. All reports are evaluated and then posted publicly on the Landslide Viewer portal.
This work involves developing and maintaining a Global Landslide Catalog focused on rainfall-triggered landslides. Through this effort we are also working to developed a landslide citizen science portal, "Landslide Reporter" that will be an online portal to visualize, export, and edit this catalog and add additional events that is openly available to the public. This site will launch early in 2018.
2004 – 2009 COLUMBIA UNIVERSITY, NEW YORK, NY
Department of Earth and Environmental Sciences
Lamont-Doherty Earth Observatory
Natural Hazards, Geomorphology, Remote Sensing
Dissertation: Multi-Scale Landslide Hazard and Risk Assessment: A Modeling and Multivariate Statistical Approach
Research Advisor: Dr. Arthur Lerner-Lam
Doctoral Degree Received: July 2009
2007 COLUMBIA UNIVERSITY, NEW YORK, NY
M. Phil. Geomorphology, Remote Sensing, Climate
2006 COLUMBIA UNIVERSITY, NEW YORK, NY
M.A. Earth and Environmental Sciences
2000 – 2004 PRINCETON UNIVERSITY, PRINCETON, NJ
A.B. Geosciences and Environmental Policy
Advisors: Dr. S. George Philander, Dr. Gregory van der Vink
Thesis: A Comparative Analysis of Drought and Famine in the Sahel and India
Lead scientific support for applications research and activities for the Global Precipitation Measurement (GPM) mission. Specific objectives and activities:
Serves as the principal operating official in the Division for planning, coordinating, and implementing strategies for applied science research at NASA GSFC. Responsible for the strategic initiatives and organizational processes leading to applied science research that strategically supports the mission of the Division.
Specific objectives and activities:
Leads disaster response activities for NASA to enable the use of satellite data and products during natural disasters to improve situational awareness and inform decision making. Also periodically represents at the OSTP Subcommittee for Disaster Reduction on behalf of NASA, which meets monthly.
Lead scientific support for applications research and activities for the Global Precipitation Measurement (GPM) mission.
Specific objectives and activities:
• Coordinate and facilitate data access issues in terms of TRMM and GPM data format, accessibility and availability for expert to non-expert users
• Coordinate GPM Applications Workshop (Fall 2013, planned for Spring 2015) to bring together the applications community to discuss both the applications of TRMM and GPM data as well as identify existing issues relating to data quality control, data access, and provenance.
• Communicate with end users on data and product access, availability and needs
• Work with the Office of Communications and Visualization groups to release GPM data imagery, including first light and subsequent data releases
• Represent GPM Science and Applications at both domestic and international conferences and meetings
• Serve as a GPM science liaison for many media activities, including Live Shots, Hyperwall Presentations, interviews, and other presentations
• Coordinate GPM’s Education and Public Outreach projects by leading a team of scientists, educators, and technical specialists to communicate the science and societal activities of the GPM mission to the general public.
Dr. Kirschbaum serves as the disaster coordinator for GSFC. In this role, she routinely interfaces with NASA HQ and the Disasters Program Manager to represent GSFC in disasters activities at the agency level. She has been coordinating disaster activities at GSFC since 2013.. She is also working to bring disaster-related experts and data system leaders together to discuss current activities and find synergistic projects across disciplines that could lead to futur opportunities.
This project considers landslide hazard and impacts can vary on the order of hours to decades through the integration of landslide modeling, landslide inventories, satellite products and model projections. This work focuses on characterizing the spatial and temporal frequency of extreme rainfall across this region both in the past and into the future to establish relationships for how trends in extreme rainfall may modulate patterns in landslide activity and their impacts.
This project develops landslide and related indicators for the National Climate Assessment to support the characterization of potential landslide variability across the U.S. both in past and looking towards the future. This work brings together a database of landslide inventories from across the U.S., with a focus on the Pacific Northwest United States.
This work considers how extreme rainfall characteristics vary in complex terrain and evaluate the limits of extreme rainfall estimates from satellites within the context of natural hazards. A main focus of this project is linking both empirical and deterministic landslide models with rainfall distributions to better understand the role that precipitation uncertainty plays in affecting landslide hazard assessment.
Through this effort, Dr. Kirschbaum is co-leading a new Committee on Earth Observing Satellites (CEOS) Landslide Pilot, working closely with colleagues at the USGS and in Italy. She is working to formulate the pilot objectives and deliverables with representatives from the landslide and remote sensing communities from over 12 countries.
Through a project entitled "Enabling Landslide Disaster Risk Reduction and Response throughout the disaster life cycle with a multi-scale toolbox" this work focuses on assessing the impacts of landslides and cascading hazards triggered by heavy rainfall or earthquakes and how can these impacts (hazard, exposure and risk) be estimated dynamically for iterative decision making throughout the disaster lifecycle.This work leverages remotely sensed observations to develop rapid response data sets informed by pre-event characterization and post-event impacts, exposure and risk for landslides.
Through a funded project entitled "Landslide Hazard and Risk Modeling in the SERVIR Mekong Region" this work seeks to expand landslide hazard and risk modeling activities within the Lower Mekong Region using newly available satellite sources and landslide models. This work will engage the SERVIR-Mekong hub to work with regional decision makers to characterize landslide hazard impacts at time and space scales relevant for their applications.
Serve as a co-lead for the Applications Implementation Team for the 3-year Aerosols, Clouds, Convection and Precipitation (ACCP) Designated Observable Study team. In this role I serve on the Science and Applications Leadership Team (SALT) for this study and work with a team to communicate and assess the applications value of different architectures being proposed for this DO study.
Multi-sensor impact analysis of cascading hazards and transportation corridors in Nepal
; Science Team PILandslide hazard and exposure indicators for the National Climate Assessment
; Principal InvestigatorA Regional Analysis Framework for Evaluating Satellite Rainfall Extremes in Complex Terrain for Landslide Hazards Applications
; Principal InvestigatorCharacterizing and Communicating Global IMERG Error Estimates for End User Applications
Enabling Landslide Disaster Risk Reduction and Response throughout the disaster life cycle with a multi-scale toolbox
; As Project Investigator of the project I am coordinating and overseeing the work and conducting landslide hazard and risk analyses in coordination with the team.A Landslide Hazard and Risk Assessment System for SERVIR-Mekong
; I am leading a team in coordination with the Asia Disaster Preparedness Center (ADPC) to develop landslide hazard and risk tools to improve situational awareness and planning in the SERVIR Mekong Region.2019: Robert H. Goddard Science Honor Award for Scientific Achievement
2018: Scientific Achievement Award NASA’s Hydrospheric and Biospheric Lab
2017: Presidential Early Career Award for Scientists and Engineers (PECASE) - Awarded by Obama, January 2017
2017: Arthur S. Flemming Award
2016: Scientific Achievement Award NASA’s Hydrospheric and Biospheric Labs
2015: Robbert H Goddard Exceptional Achievement Outreach Team - GPM Outreach Team Award
2014: NASA Agency Award - Early Career Achievement Medal
2014: Achievement in Outreach Award from NASA's Hydrospheric and Biospheric Labs
2013 Best Publication from NASA’s Hydrospheric and Biospheric Labs
2005 Sara F. Langer Book Prize, Lamont-Doherty Earth Observatory
2004 William Bonini Prize for Excellence in Teaching, Geosciences, Princeton University
NASA Science Live is a 30 minute show put on by the NASA Communications team that takes viewers behind-the-scenes alongside expert to explore the secrets of the universe. Episode 4 featured storms across the universe, including our home planet Earth.
Conducted 15 Media interviews with outlets across the U.S. to talk about the recent roll-out of the near 20-year GPM IMERG product, that now spans 2000-2020.
Live coverage of Hurricane Matthew as it was traversing the Caribbean Ocean and making landfall in the United States in September-October 2016.
I hosted a Facebook Live event on 6/21/2016 on the Global Precipitation Measurement (GPM) mission and how we can use this data to better understand our weather, climate, monsoons, etc. and also to show the public how we control satellites from the GPM Mission Operations Control center. The event reached over 2 million people and was shared over 110,000 times. You can check it out at: http://svs.gsfc.nasa.gov/12287 or at https://www.facebook.com/search/top/?q=precipitation%20measurement%20missions.
Fielded questions from tens of news outlets about Hurricane Joaquin
I was one of several scientists and engineers that are contributing to the Global Precipitation Measurement (GPM) Mission. My specific "Faces of GPM" piece can be found at: http://svs.gsfc.nasa.gov/cgi-bin/details.cgi?aid=11102#17579
I was the science host for 3 hours of Live launch coverage on NASATV for the launch of the GPM Core Observatory satellite from Tanegashima Space Center, Japan. I was the co-host to provide information to the public about what was happening prior to the launch, give people a background on the the mission and its relevance, and interview other scientists about the mission. A link to this coverage can be found at http://svs.gsfc.nasa.gov/cgi-bin/details.cgi?aid=11496#18869
Presented GPM overview talks on applications and E/PO activities to thousands of people and tens of talks, including (but not limited to): Museum Alliance, Earth to Sky Workshop, NOAA User Workshop on GPM, PMM Science Team Meetings, IGARSS Annual Meeting, AGU Hyperwall, GSA Hyperwall, classroom visits (K-12, college)
Getirana, A., D. Kirschbaum, F. Mandarino, et al. M. Ottoni, S. Khan, and K. Arsenault. 2020. "Potential of GPM IMERG Precipitation Estimates to Monitor Natural Disaster Triggers in Urban Areas: The Case of Rio de Janeiro, Brazil." Remote Sensing, 12 (24): 4095 [10.3390/rs12244095]
Emberson, R., D. Kirschbaum, and T. Stanley. 2020. "New global characterisation of landslide exposure." Natural Hazards and Earth System Sciences, 20 (12): 3413-3424 [10.5194/nhess-20-3413-2020]
Hartke, S. H., D. B. Wright, D. B. Kirschbaum, T. A. Stanley, and Z. Li. 2020. "Incorporation of Satellite Precipitation Uncertainty in a Landslide Hazard Nowcasting System." Journal of Hydrometeorology, 21 (8): 1741-1759 [10.1175/jhm-d-19-0295.1]
Mirus, B. B., E. S. Jones, R. L. Baum, et al. J. W. Godt, S. Slaughter, M. M. Crawford, J. Lancaster, T. Stanley, D. B. Kirschbaum, W. J. Burns, R. G. Schmitt, K. O. Lindsey, and K. M. McCoy. 2020. "Landslides across the USA: occurrence, susceptibility, and data limitations." Landslides, [10.1007/s10346-020-01424-4]
Ward, P. J., V. Blauhut, N. Bloemendaal, et al. J. E. Daniell, M. C. de Ruiter, M. J. Duncan, R. Emberson, S. F. Jenkins, D. Kirschbaum, M. Kunz, S. Mohr, S. Muis, G. A. Riddell, A. Schäfer, T. Stanley, T. I. Veldkamp, and H. C. Winsemius. 2020. "Review article: Natural hazard risk assessments at the global scale." Natural Hazards and Earth System Sciences, 20 (4): 1069-1096 [10.5194/nhess-20-1069-2020]
Stanley, T. A., D. B. Kirschbaum, S. Pascale, and S. Kapnick. 2020. "Extreme Precipitation in the Himalayan Landslide Hotspot." Satellite Precipitation, 69: 1087-1111 [10.1007/978-3-030-35798-6]
Stanley, T., D. Kirschbaum, S. Sobieszczyk, et al. M. Jasinski, J. Borak, and S. Slaughter. 2020. "Building a landslide hazard indicator with machine learning and land surface models." Environmental Modelling & Software, 129: 104692 [10.1016/j.envsoft.2020.104692]
Kirschbaum, D., S. Kapnick, T. Stanley, and S. Pascale. 2020. "Changes in Extreme Precipitation and Landslides Over High Mountain Asia." Geophysical Research Letters, 47 (4): [10.1029/2019gl085347]
Amatya, P., D. Kirschbaum, and T. Stanley. 2019. "Use of Very High-Resolution Optical Data for Landslide Mapping and Susceptibility Analysis along the Karnali Highway, Nepal." Remote Sensing, 11 (19): 2284 [10.3390/rs11192284]
Kirschbaum, D., C. S. Watson, D. R. Rounce, et al. D. H. Shugar, J. S. Kargel, U. K. Haritashya, P. Amatya, D. Shean, E. R. Anderson, and M. Jo. 2019. "The State of Remote Sensing Capabilities of Cascading Hazards Over High Mountain Asia." Frontiers in Earth Science, 7: [10.3389/feart.2019.00197]
Juang, C. S., T. A. Stanley, and D. B. Kirschbaum. 2019. "Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR)." PLOS ONE, 14 (7): e0218657 [10.1371/journal.pone.0218657]
Yoon, Y., S. V. Kumar, B. A. Forman, et al. B. F. Zaitchik, Y. Kwon, Y. Qian, S. Rupper, V. Maggioni, P. Houser, D. Kirschbaum, A. Richey, A. Arendt, D. M. Mocko, J. Jacob, S. Bhanja, and A. Mukherjee. 2019. "Evaluating the uncertainty of terrestrial water budget components over High Mountain Asia." Frontiers in Earth Science, 7: [10.3389/feart.2019.00120]
Fayne, J. V., A. Ahamed, J. Roberts-Pierel, A. C. Rumsey, and D. Kirschbaum. 2019. "Automated Satellite-Based Landslide Identification Product for Nepal." Earth Interactions, 23 (3): 1-21 [10.1175/ei-d-17-0022.1]
Yatheendradas, S., D. Kirschbaum, G. Nearing, et al. J. A. Vrugt, R. L. Baum, R. Wooten, N. Lu, and J. W. Godt. 2019. "Bayesian analysis of the impact of rainfall data product on simulated slope failure for North Carolina locations." Computational Geosciences, [10.1007/s10596-018-9804-y]
Monsieurs, E., D. B. Kirschbaum, J. Tan, et al. J.-C. Maki Mateso, L. Jacobs, P.-D. Plisnier, W. Thiery, A. Umutoni, D. Musoni, T. M. Bibentyo, G. B. Ganza, G. I. Mawe, L. Bagalwa, C. Kankurize, C. Michellier, T. Stanley, F. Kervyn, M. Kervyn, A. Demoulin, and O. Dewitte. 2018. "Evaluating TMPA Rainfall over the Sparsely Gauged East African Rift." Journal of Hydrometeorology, 19 (9): 1507-1528 [10.1175/jhm-d-18-0103.1]
Skofronick-Jackson, G., W. Berg, C. Kidd, et al. D. B. Kirschbaum, W. A. Petersen, G. J. Huffman, and Y. N. Takayabu. 2018. "Global Precipitation Measurement (GPM): Unified Precipitation Estimation from Space." Springer Remote Sensing/Photogrammetry, 175-193 [10.1007/978-3-319-72583-3_7]
Skofronick-Jackson, G., D. Kirschbaum, W. Petersen, et al. G. Huffman, C. Kidd, E. Stocker, and R. Kakar. 2018. "The Global Precipitation Measurement (GPM) mission's scientific achievements and societal contributions: reviewing four years of advanced rain and snow observations." Quarterly Journal of the Royal Meteorological Society, 144: 27-48 [10.1002/qj.3313]
Kirschbaum, D., and T. Stanley. 2018. "Satellite-Based Assessment of Rainfall-Triggered Landslide Hazard for Situational Awareness." Earth's Future, [10.1002/2017ef000715]
Skofronick-Jackson, G., W. A. Petersen, W. Berg, et al. C. Kidd, E. F. Stocker, D. B. Kirschbaum, R. Kakar, S. A. Braun, G. J. Huffman, T. Iguchi, P. E. Kirstetter, C. Kummerow, R. Meneghini, R. Oki, W. S. Olson, Y. N. Takayabu, K. Furukawa, and T. Wilheit. 2017. "The Global Precipitation Measurement (GPM) Mission for Science and Society." Bulletin of the American Meteorological Society, 98 (8): 1679-1695 [10.1175/bams-d-15-00306.1]
Wright, D. B., D. B. Kirschbaum, and S. Yatheendradas. 2017. "Satellite Precipitation Characterization, Error Modeling, and Error Correction Using Censored Shifted Gamma Distributions." Journal of Hydrometeorology, 18 (10): JHM-D-17-0060.1 [10.1175/jhm-d-17-0060.1]
Stanley, T. A., and D. B. Kirschbaum. 2017. "Effects of inventory bias on landslide susceptibility calculations." Landslides: Putting Experience, Knowledge And Emerging Technologies Into Practice, AEG Special Publication No. 27, 794-806, ISBN: 978-0-9897253-7-8.
Kirschbaum, D. B., G. J. Huffman, R. Adler, et al. S. A. Braun, K. Garrett, E. Jones, A. L. Mcnally, G. S. Jackson, E. F. Stocker, H. Wu, and B. Zaitchik. 2017. "NASA’s Remotely-sensed Precipitation: A Reservoir for Applications Users." Bulletin of the American Meteorological Society, 98 (6): 1169-1184 [10.1175/BAMS-D-15-00296.1]
Stanley, T., D. B. Kirschbaum, G. J. Huffman, and R. F. Adler. 2017. "Approximating Long-Term Statistics Early in the Global Precipitation Measurement Era." Earth Interactions, 21 (3): 1-10 [10.1175/ei-d-16-0025.1]
Rossi, M., S. Luciani, D. Valigi, et al. D. Kirschbaum, M. Brunetti, S. Peruccacci, and F. Guzzetti. 2017. "Statistical approaches for the definition of landslide rainfall thresholds and their uncertainty using rain gauge and satellite data." Geomorphology, 285: 16-27 [10.1016/j.geomorph.2017.02.001]
Stanley, T., and D. B. Kirschbaum. 2017. "A heuristic approach to global landslide susceptibility mapping." Natural Hazards, 1-20 [10.1007/s11069-017-2757-y]
Kidd, C., A. Becker, G. J. Huffman, et al. C. L. Muller, P. Joe, G. Skofronick-Jackson, and D. B. Kirschbaum. 2017. "So, how much of the Earth’s surface is covered by rain gauges?" Bulletin of the American Meteorological Society, 98 (1): 69-78 [10.1175/bams-d-14-00283.1]
Biasutti, M., R. Seager, and D. B. Kirschbaum. 2016. "Landslides in West Coast metropolitan areas: The role of extreme weather events." Weather and Climate Extremes, 14: 67-79 [10.1016/j.wace.2016.11.004]
Wu, H., M. Huang, Q. Tang, D. B. Kirschbaum, and P. Ward. 2016. "Hydrometeorological Hazards: Monitoring, Forecasting, Risk Assessment, and Socioeconomic Responses." Advances in Meteorology, 2016: 1-3 [10.1155/2016/2367939]
Schumann, G., D. Kirschbaum, E. Anderson, and K. Rashid. 2016. "Role of Earth Observation data in disaster response and recovery: from science to capacity building." Earth Science Satellite Applications: Current and Future Prospects, 119-146, ISBN: 978-3-319-33436-3. [10.1007/978-3-319-33438-7_5]
Schumann, G. J., S. Frye, G. Wells, et al. R. Adler, R. Brakenridge, J. Bolten, J. Murray, D. Slayback, F. Policelli, D. Kirschbaum, H. Wu, P. Cappelaere, T. Howard, Z. Flamig, R. Clark, T. Stough, M. Chini, P. Matgen, D. Green, and B. Jones. 2016. "Unlocking the full potential of Earth observation during the 2015 Texas flood disaster." Water Resources Research, 52 (5): 3288-3293 [10.1002/2015wr018428]
Kirschbaum, D. B., and K. G. Patel. 2016. "Precipitation data key to food security and public health." Eos, 97: [Full Text (Link)] [10.1029/2016EO045583]
Kirschbaum, D. B., T. Stanley, and S. '. Yatheendradas. 2016. "Modeling Landslide Susceptibility over Large Regions with Fuzzy Overlay." Landslides, 13: 485-496 [Full Text (Link)] [10.1007/s10346-015-0577-2]
Kargel, J. S., G. J. Leonard, D. H. Shugar, et al. U. K. Haritashya, A. Bevington, E. J. Fielding, K. Fujita, M. Geertsema, E. S. Miles, J. Steiner, E. Anderson, S. Bajracharya, G. W. Bawden, D. F. Breashears, A. Byers, B. Collins, M. R. Dhital, A. Donnellan, T. L. Evans, M. L. Geai, M. T. Glasscoe, D. Green, D. R. Gurung, R. Heijenk, A. Hilborn, K. Hudnut, C. Huyck, W. W. Immerzeel, J. Liming, R. Jibson, A. Kaab, N. R. Khanal, D. Kirschbaum, P. D. Kraaijenbrink, D. Lamsal, L. Shiyin, L. Mingyang, D. McKinney, N. K. Nahirnick, N. Zhuotong, S. Ojha, J. Olsenholler, T. H. Painter, M. Pleasants, K. C. Pratima, Q. I. Yuan, B. H. Raup, D. Regmi, D. R. Rounce, A. Sakai, S. Donghui, J. M. Shea, A. B. Shrestha, A. Shukla, D. Stumm, M. van der Kooij, K. Voss, W. Xin, B. Weihs, D. Wolfe, W. Lizong, Y. Xiaojun, M. R. Yoder, and N. Young. 2015. "Geomorphic and geologic controls of geohazards induced by Nepals 2015 Gorkha earthquake." Science, 351 (6269): aac8353-aac8353 [10.1126/science.aac8353]
Kirschbaum, D. B., T. Stanley, and Y. Zhou. 2015. "Spatial and temporal analysis of a global landslide catalog." Geomorphology, 249 (Geohazard Databases): 4-15 [Full Text (Link)] [10.1016/j.geomorph.2015.03.016]
Kirschbaum, D. B., T. Stanley, and J. M. Simmons. 2015. "A Dynamic Landslide Hazard Assessment System for Central America and Hispaniola." Natural Hazards and Earth System Sciences, 15 (10): 2257-2272 [Full Text (Link)] [10.5194/nhess-15-2257-2015]
Wan, Z., Y. Hong, S. Khan, et al. J. Gourley, Z. Flamig, D. B. Kirschbaum, and G. Tang. 2014. "A cloud-based global flood disaster community cyber-infrastructure: Development and demonstration." Environmental Modelling & Software, 58: 86–94 [10.1016/j.envsoft.2014.04.007]
Kumar, S. V., K. W. Harrison, C. D. Peters-Lidard, J. A. Santanello, and D. B. Kirschbaum. 2014. "Assessing the Impact of L-Band Observations on Drought and Flood Risk Estimation: A Decision-Theoretic Approach in an OSSE Environment." J. Hydrometeor, 15 (6): 2140-2156 [Full Text (Link)] [10.1175/JHM-D-13-0204.1]
Taramelli, A., M. Pasqui, J. Barbour, et al. D. Kirschbaum, L. Bottai, C. Busillo, F. Calastrini, F. Guarnieri, and C. Small. 2013. "Spatial and temporal dust source variability in northern China identified using advanced remote sensing analysis." Earth Surface Processes and Landforms, 38 (8): 793–809 [10.1002/esp.3321]
Kucera, P. A., E. E. Ebert, J. F. Turk, et al. V. Levizzani, D. Kirschbaum, F. J. Tapiador, A. Loew, and M. Borsche. 2013. "Precipitation from Space: Advancing Earth System Science." Bulletin of the American Meteorological Society, 94 (3): 365-375 [10.1175/BAMS-D-11-00171.1]
Kirschbaum, D. B., R. F. Adler, D. Adler, C. D. Peters-Lidard, and G. J. Huffman. 2012. "Global Distribution of Extreme Precipitation and High-Impact Landslides in 2010 Relative to Previous Years." J. Hydrometeor., 13 (5): 1536-1551 [10.1175/JHM-D-12-02.1]
Liao, Z., Y. Hong, D. Kirschbaum, and C. Liu. 2012. "Assessment of shallow landslides from Hurricane Mitch in central America using a physically based model." Environmental Earth Sciences, 66 (6): 1697-1705 [10.1007/s12665-011-0997-9]
Kirschbaum, D. B., and H. Fukuoka. 2012. "Remote sensing and modeling of landslides: detection, monitoring and risk evaluation." Environmental Earth Sciences, 66 (6): 1583 [10.1007/s12665-012-1543-0]
Kirschbaum, D. B., R. F. Adler, Y. Hong, S. V. Kumar, and C. D. Peters-Lidard. 2011. "Advances in landslide nowcasting: evaluation of a global and regional modeling approach." Environmental Earth Sciences, 66 (6): 1683-1696 [10.1007/s12665-011-0990-3]
Hong, Y., R. F. Adler, D. B. Kirschbaum, and G. J. Huffman. 2010. "Capacity Building for Disaster Prevention in Vulnerable Regions of the World: Development of a Prototype Global Flood/Landslide Prediction System." Disaster Advances, 3 (3): 14-19.
Kirschbaum, D. B., R. F. Adler, Y. Hong, S. Hill, and A. Lerner-Lam. 2010. "A global landslide catalog for hazard applications: method, results, and limitations." Natural Hazards, 52 (3): 561-575 [10.1007/s11069-009-9401-4]
Kirschbaum, D., R. Adler, Y. Hong, and A. Lerner-Lam. 2009. "Evaluation of a Satellite-based Landslide Algorithm using Global Landslide Inventories." Natural Hazards and Earth System Sciences, 9: 673-686.
Kirschbaum, D., R. F. Adler, Y. Hong, and A. Lerner-Lam. 2009. "Evaluation of a preliminary satellite-based landslide hazard algorithm using global landslide inventories." Natural Hazards and Earth System Science, 9 (3): 673-686 [10.5194/nhess-9-673-2009]
Kirschbaum, D. B. 2017. "A view from above: Earth Observation." Crisis Response Journal 12 (4): 64-67.
Ward, A., D. Kirschbaum, and M. Hobish. 2015. "Measuring Rain and Snow for Science and Society: The Second GPM Applications Workshop." The Earth Observer 27 (5): 4--11.
2019-present: President-Elect for AGU Natural Hazards Section
2019-present: Editor for Remote Sensing in Earth System Sciences Journal
2013-present: Executive Committee for the Remote Sensing and Hydrology Focus Group for AGU
2014-present: Executive Committee for Natural Hazards Focus Group
2015-present CEOS Disaster Working Group Landslide Pilot Lead
2013-2015: Program Committee for AGU Natural Hazards Focus Group
2009-present Convened landslide sessions in the Natural Hazards Focus Group at the Fall AGU Conference in San Francisco
November 2013: 1st GPM/TRMM Applications Workshop: November, 2013 - Coordinated and ran meeting. https://pmm.nasa.gov/meetings/2015-gpm-applications-workshop
June 2015: 2nd GPM/TRMM Applications Workshop - Coordinated and ran meeting.https://pmm.nasa.gov/meetings/2015-gpm-applications-workshop
Global Landslide Hazard Assessment with Satellite Data
9 / 28 / 2017Remote presentation to group of landslide experts from Indonesia regarding the use of satellite capabilities for landslide hazard assessment and monitoring.
Presenter at Library of Congress NASA Series
8 / 11 / 2015Panelist on National Research Council Agenda for NRC Special Workshop on Landslides
2 / 24 / 2015
Developed Landslide Catalog and Model Framework: Website https://pmm.nasa.gov/precip-apps
Dr. Dalia B. Kirschbaum is the Chief of the Hydrological Sciences Laboratory at NASA Goddard Space Flight Center, Greenbelt, MD. In this role, she leads an interdisciplinary Earth system science lab at NASA to conduct large-scale hydrological science research using data from NASA’s satellites, land surface models, and fieldwork. Dr. Kirschbaum’s work focuses on rainfall-triggered landslide modeling, monitoring and mapping using remotely sensed information to conduct landslide hazard and risk studies at multiple spatial and temporal scales. Information on landslide modeling, mapping, and citizen science efforts is available at: https://landslides.nasa.gov. Dr. Kirschbaum also serves as the Global Precipitation Measurement (GPM) Mission Deputy Project Scientist for Applications, whereshe provides scientific leadership for applications activities, communiation, and outreach. Dr. Kirschbaum is a Disaster Response Coordinator for the agency, working with other NASA centers as well as domestic and international partners to bring satellite data and products to bear during natural hazard events to improve situational awareness and inform decision making. Dr. Kirschbaum received her M.S. and Ph.D. in Earth and Environmental Sciences from Columbia University with a focus in Natural Hazards and Remote Sensing. She received her A.B. in Geosciences from Princeton University.
Getirana, A., D. Kirschbaum, F. Mandarino, et al. M. Ottoni, S. Khan, and K. Arsenault. 2020. "Potential of GPM IMERG Precipitation Estimates to Monitor Natural Disaster Triggers in Urban Areas: The Case of Rio de Janeiro, Brazil." Remote Sensing 12 (24): 4095 [10.3390/rs12244095]
Emberson, R., D. Kirschbaum, and T. Stanley. 2020. "New global characterisation of landslide exposure." Natural Hazards and Earth System Sciences 20 (12): 3413-3424 [10.5194/nhess-20-3413-2020]
Hartke, S. H., D. B. Wright, D. B. Kirschbaum, T. A. Stanley, and Z. Li. 2020. "Incorporation of Satellite Precipitation Uncertainty in a Landslide Hazard Nowcasting System." Journal of Hydrometeorology 21 (8): 1741-1759 [10.1175/jhm-d-19-0295.1]
Mirus, B. B., E. S. Jones, R. L. Baum, et al. J. W. Godt, S. Slaughter, M. M. Crawford, J. Lancaster, T. Stanley, D. B. Kirschbaum, W. J. Burns, R. G. Schmitt, K. O. Lindsey, and K. M. McCoy. 2020. "Landslides across the USA: occurrence, susceptibility, and data limitations." Landslides [10.1007/s10346-020-01424-4]
Ward, P. J., V. Blauhut, N. Bloemendaal, et al. J. E. Daniell, M. C. de Ruiter, M. J. Duncan, R. Emberson, S. F. Jenkins, D. Kirschbaum, M. Kunz, S. Mohr, S. Muis, G. A. Riddell, A. Schäfer, T. Stanley, T. I. Veldkamp, and H. C. Winsemius. 2020. "Review article: Natural hazard risk assessments at the global scale." Natural Hazards and Earth System Sciences 20 (4): 1069-1096 [10.5194/nhess-20-1069-2020]
Stanley, T. A., D. B. Kirschbaum, S. Pascale, and S. Kapnick. 2020. "Extreme Precipitation in the Himalayan Landslide Hotspot." Satellite Precipitation 69 1087-1111 [10.1007/978-3-030-35798-6]
Stanley, T., D. Kirschbaum, S. Sobieszczyk, et al. M. Jasinski, J. Borak, and S. Slaughter. 2020. "Building a landslide hazard indicator with machine learning and land surface models." Environmental Modelling & Software 129 104692 [10.1016/j.envsoft.2020.104692]
Kirschbaum, D., S. Kapnick, T. Stanley, and S. Pascale. 2020. "Changes in Extreme Precipitation and Landslides Over High Mountain Asia." Geophysical Research Letters 47 (4): [10.1029/2019gl085347]
Amatya, P., D. Kirschbaum, and T. Stanley. 2019. "Use of Very High-Resolution Optical Data for Landslide Mapping and Susceptibility Analysis along the Karnali Highway, Nepal." Remote Sensing 11 (19): 2284 [10.3390/rs11192284]
Kirschbaum, D., C. S. Watson, D. R. Rounce, et al. D. H. Shugar, J. S. Kargel, U. K. Haritashya, P. Amatya, D. Shean, E. R. Anderson, and M. Jo. 2019. "The State of Remote Sensing Capabilities of Cascading Hazards Over High Mountain Asia." Frontiers in Earth Science 7 [10.3389/feart.2019.00197]
Juang, C. S., T. A. Stanley, and D. B. Kirschbaum. 2019. "Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR)." PLOS ONE 14 (7): e0218657 [10.1371/journal.pone.0218657]
Yoon, Y., S. V. Kumar, B. A. Forman, et al. B. F. Zaitchik, Y. Kwon, Y. Qian, S. Rupper, V. Maggioni, P. Houser, D. Kirschbaum, A. Richey, A. Arendt, D. M. Mocko, J. Jacob, S. Bhanja, and A. Mukherjee. 2019. "Evaluating the uncertainty of terrestrial water budget components over High Mountain Asia." Frontiers in Earth Science 7 [10.3389/feart.2019.00120]
Fayne, J. V., A. Ahamed, J. Roberts-Pierel, A. C. Rumsey, and D. Kirschbaum. 2019. "Automated Satellite-Based Landslide Identification Product for Nepal." Earth Interactions 23 (3): 1-21 [10.1175/ei-d-17-0022.1]
Yatheendradas, S., D. Kirschbaum, G. Nearing, et al. J. A. Vrugt, R. L. Baum, R. Wooten, N. Lu, and J. W. Godt. 2019. "Bayesian analysis of the impact of rainfall data product on simulated slope failure for North Carolina locations." Computational Geosciences [10.1007/s10596-018-9804-y]
Monsieurs, E., D. B. Kirschbaum, J. Tan, et al. J.-C. Maki Mateso, L. Jacobs, P.-D. Plisnier, W. Thiery, A. Umutoni, D. Musoni, T. M. Bibentyo, G. B. Ganza, G. I. Mawe, L. Bagalwa, C. Kankurize, C. Michellier, T. Stanley, F. Kervyn, M. Kervyn, A. Demoulin, and O. Dewitte. 2018. "Evaluating TMPA Rainfall over the Sparsely Gauged East African Rift." Journal of Hydrometeorology 19 (9): 1507-1528 [10.1175/jhm-d-18-0103.1]
Skofronick-Jackson, G., W. Berg, C. Kidd, et al. D. B. Kirschbaum, W. A. Petersen, G. J. Huffman, and Y. N. Takayabu. 2018. "Global Precipitation Measurement (GPM): Unified Precipitation Estimation from Space." Springer Remote Sensing/Photogrammetry 175-193 [10.1007/978-3-319-72583-3_7]
Skofronick-Jackson, G., D. Kirschbaum, W. Petersen, et al. G. Huffman, C. Kidd, E. Stocker, and R. Kakar. 2018. "The Global Precipitation Measurement (GPM) mission's scientific achievements and societal contributions: reviewing four years of advanced rain and snow observations." Quarterly Journal of the Royal Meteorological Society 144 27-48 [10.1002/qj.3313]
Kirschbaum, D., and T. Stanley. 2018. "Satellite-Based Assessment of Rainfall-Triggered Landslide Hazard for Situational Awareness." Earth's Future [10.1002/2017ef000715]
Skofronick-Jackson, G., W. A. Petersen, W. Berg, et al. C. Kidd, E. F. Stocker, D. B. Kirschbaum, R. Kakar, S. A. Braun, G. J. Huffman, T. Iguchi, P. E. Kirstetter, C. Kummerow, R. Meneghini, R. Oki, W. S. Olson, Y. N. Takayabu, K. Furukawa, and T. Wilheit. 2017. "The Global Precipitation Measurement (GPM) Mission for Science and Society." Bulletin of the American Meteorological Society 98 (8): 1679-1695 [10.1175/bams-d-15-00306.1]
Wright, D. B., D. B. Kirschbaum, and S. Yatheendradas. 2017. "Satellite Precipitation Characterization, Error Modeling, and Error Correction Using Censored Shifted Gamma Distributions." Journal of Hydrometeorology 18 (10): JHM-D-17-0060.1 [10.1175/jhm-d-17-0060.1]
Stanley, T. A., and D. B. Kirschbaum. 2017. "Effects of inventory bias on landslide susceptibility calculations." Landslides: Putting Experience, Knowledge And Emerging Technologies Into Practice, AEG Special Publication No. 27 794-806
Kirschbaum, D. B., G. J. Huffman, R. Adler, et al. S. A. Braun, K. Garrett, E. Jones, A. L. Mcnally, G. S. Jackson, E. F. Stocker, H. Wu, and B. Zaitchik. 2017. "NASA’s Remotely-sensed Precipitation: A Reservoir for Applications Users." Bulletin of the American Meteorological Society 98 (6): 1169-1184 [10.1175/BAMS-D-15-00296.1]
Stanley, T., D. B. Kirschbaum, G. J. Huffman, and R. F. Adler. 2017. "Approximating Long-Term Statistics Early in the Global Precipitation Measurement Era." Earth Interactions 21 (3): 1-10 [10.1175/ei-d-16-0025.1]
Rossi, M., S. Luciani, D. Valigi, et al. D. Kirschbaum, M. Brunetti, S. Peruccacci, and F. Guzzetti. 2017. "Statistical approaches for the definition of landslide rainfall thresholds and their uncertainty using rain gauge and satellite data." Geomorphology 285 16-27 [10.1016/j.geomorph.2017.02.001]
Stanley, T., and D. B. Kirschbaum. 2017. "A heuristic approach to global landslide susceptibility mapping." Natural Hazards 1-20 [10.1007/s11069-017-2757-y]
Kidd, C., A. Becker, G. J. Huffman, et al. C. L. Muller, P. Joe, G. Skofronick-Jackson, and D. B. Kirschbaum. 2017. "So, how much of the Earth’s surface is covered by rain gauges?" Bulletin of the American Meteorological Society 98 (1): 69-78 [10.1175/bams-d-14-00283.1]
Biasutti, M., R. Seager, and D. B. Kirschbaum. 2016. "Landslides in West Coast metropolitan areas: The role of extreme weather events." Weather and Climate Extremes 14 67-79 [10.1016/j.wace.2016.11.004]
Wu, H., M. Huang, Q. Tang, D. B. Kirschbaum, and P. Ward. 2016. "Hydrometeorological Hazards: Monitoring, Forecasting, Risk Assessment, and Socioeconomic Responses." Advances in Meteorology 2016 1-3 [10.1155/2016/2367939]
Schumann, G., D. Kirschbaum, E. Anderson, and K. Rashid. 2016. "Role of Earth Observation data in disaster response and recovery: from science to capacity building." Earth Science Satellite Applications: Current and Future Prospects 119-146 [10.1007/978-3-319-33438-7_5]
Schumann, G. J., S. Frye, G. Wells, et al. R. Adler, R. Brakenridge, J. Bolten, J. Murray, D. Slayback, F. Policelli, D. Kirschbaum, H. Wu, P. Cappelaere, T. Howard, Z. Flamig, R. Clark, T. Stough, M. Chini, P. Matgen, D. Green, and B. Jones. 2016. "Unlocking the full potential of Earth observation during the 2015 Texas flood disaster." Water Resources Research 52 (5): 3288-3293 [10.1002/2015wr018428]
Kirschbaum, D. B., and K. G. Patel. 2016. "Precipitation data key to food security and public health." Eos 97 [Full Text (Link)] [10.1029/2016EO045583]
Kirschbaum, D. B., T. Stanley, and S. '. Yatheendradas. 2016. "Modeling Landslide Susceptibility over Large Regions with Fuzzy Overlay." Landslides 13 485-496 [Full Text (Link)] [10.1007/s10346-015-0577-2]
Kargel, J. S., G. J. Leonard, D. H. Shugar, et al. U. K. Haritashya, A. Bevington, E. J. Fielding, K. Fujita, M. Geertsema, E. S. Miles, J. Steiner, E. Anderson, S. Bajracharya, G. W. Bawden, D. F. Breashears, A. Byers, B. Collins, M. R. Dhital, A. Donnellan, T. L. Evans, M. L. Geai, M. T. Glasscoe, D. Green, D. R. Gurung, R. Heijenk, A. Hilborn, K. Hudnut, C. Huyck, W. W. Immerzeel, J. Liming, R. Jibson, A. Kaab, N. R. Khanal, D. Kirschbaum, P. D. Kraaijenbrink, D. Lamsal, L. Shiyin, L. Mingyang, D. McKinney, N. K. Nahirnick, N. Zhuotong, S. Ojha, J. Olsenholler, T. H. Painter, M. Pleasants, K. C. Pratima, Q. I. Yuan, B. H. Raup, D. Regmi, D. R. Rounce, A. Sakai, S. Donghui, J. M. Shea, A. B. Shrestha, A. Shukla, D. Stumm, M. van der Kooij, K. Voss, W. Xin, B. Weihs, D. Wolfe, W. Lizong, Y. Xiaojun, M. R. Yoder, and N. Young. 2015. "Geomorphic and geologic controls of geohazards induced by Nepals 2015 Gorkha earthquake." Science 351 (6269): aac8353-aac8353 [10.1126/science.aac8353]
Kirschbaum, D. B., T. Stanley, and Y. Zhou. 2015. "Spatial and temporal analysis of a global landslide catalog." Geomorphology 249 (Geohazard Databases): 4-15 [Full Text (Link)] [10.1016/j.geomorph.2015.03.016]
Kirschbaum, D. B., T. Stanley, and J. M. Simmons. 2015. "A Dynamic Landslide Hazard Assessment System for Central America and Hispaniola." Natural Hazards and Earth System Sciences 15 (10): 2257-2272 [Full Text (Link)] [10.5194/nhess-15-2257-2015]
Wan, Z., Y. Hong, S. Khan, et al. J. Gourley, Z. Flamig, D. B. Kirschbaum, and G. Tang. 2014. "A cloud-based global flood disaster community cyber-infrastructure: Development and demonstration." Environmental Modelling & Software 58 86–94 [10.1016/j.envsoft.2014.04.007]
Kumar, S. V., K. W. Harrison, C. D. Peters-Lidard, J. A. Santanello, and D. B. Kirschbaum. 2014. "Assessing the Impact of L-Band Observations on Drought and Flood Risk Estimation: A Decision-Theoretic Approach in an OSSE Environment." J. Hydrometeor 15 (6): 2140-2156 [Full Text (Link)] [10.1175/JHM-D-13-0204.1]
Taramelli, A., M. Pasqui, J. Barbour, et al. D. Kirschbaum, L. Bottai, C. Busillo, F. Calastrini, F. Guarnieri, and C. Small. 2013. "Spatial and temporal dust source variability in northern China identified using advanced remote sensing analysis." Earth Surface Processes and Landforms 38 (8): 793–809 [10.1002/esp.3321]
Kucera, P. A., E. E. Ebert, J. F. Turk, et al. V. Levizzani, D. Kirschbaum, F. J. Tapiador, A. Loew, and M. Borsche. 2013. "Precipitation from Space: Advancing Earth System Science." Bulletin of the American Meteorological Society 94 (3): 365-375 [10.1175/BAMS-D-11-00171.1]
Kirschbaum, D. B., R. F. Adler, D. Adler, C. D. Peters-Lidard, and G. J. Huffman. 2012. "Global Distribution of Extreme Precipitation and High-Impact Landslides in 2010 Relative to Previous Years." J. Hydrometeor. 13 (5): 1536-1551 [10.1175/JHM-D-12-02.1]
Liao, Z., Y. Hong, D. Kirschbaum, and C. Liu. 2012. "Assessment of shallow landslides from Hurricane Mitch in central America using a physically based model." Environmental Earth Sciences 66 (6): 1697-1705 [10.1007/s12665-011-0997-9]
Kirschbaum, D. B., and H. Fukuoka. 2012. "Remote sensing and modeling of landslides: detection, monitoring and risk evaluation." Environmental Earth Sciences 66 (6): 1583 [10.1007/s12665-012-1543-0]
Kirschbaum, D. B., R. F. Adler, Y. Hong, S. V. Kumar, and C. D. Peters-Lidard. 2011. "Advances in landslide nowcasting: evaluation of a global and regional modeling approach." Environmental Earth Sciences 66 (6): 1683-1696 [10.1007/s12665-011-0990-3]
Hong, Y., R. F. Adler, D. B. Kirschbaum, and G. J. Huffman. 2010. "Capacity Building for Disaster Prevention in Vulnerable Regions of the World: Development of a Prototype Global Flood/Landslide Prediction System." Disaster Advances 3 (3): 14-19
Kirschbaum, D. B., R. F. Adler, Y. Hong, S. Hill, and A. Lerner-Lam. 2010. "A global landslide catalog for hazard applications: method, results, and limitations." Natural Hazards 52 (3): 561-575 [10.1007/s11069-009-9401-4]
Kirschbaum, D., R. Adler, Y. Hong, and A. Lerner-Lam. 2009. "Evaluation of a Satellite-based Landslide Algorithm using Global Landslide Inventories." Natural Hazards and Earth System Sciences 9 673-686
Kirschbaum, D., R. F. Adler, Y. Hong, and A. Lerner-Lam. 2009. "Evaluation of a preliminary satellite-based landslide hazard algorithm using global landslide inventories." Natural Hazards and Earth System Science 9 (3): 673-686 [10.5194/nhess-9-673-2009]
Kirschbaum, D. B. 2017. "A view from above: Earth Observation." Crisis Response Journal 12 (4): 64-67
Ward, A., D. Kirschbaum, and M. Hobish. 2015. "Measuring Rain and Snow for Science and Society: The Second GPM Applications Workshop." The Earth Observer 27 (5): 4--11