Profile for Dalia Kirschbaum

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Title: NASA
Affiliation: Physical Scientist
Contact: E-mail
Office Phone: 301-614-5810
Fax: 301-614-5808

Short Bio

Dr. Dalia Bach Kirschbaum graduated with an A.B. in Geosciences from Princeton University in 2004. She then went on to earn her M.S. and Ph.D. from the Environmental Sciences Department at Columbia University in New York from 2004 – 2009. She is currently a Research Physical Scientist within Hydrological Science at NASA’s Goddard Space Flight Center. Her research interests are centered on natural hazard assessment using remotely sensed information, focusing on rainfall-triggered landslide hazard assessment and modeling. Her current research focuses on advancing empirical and physical approaches to landslide modeling and forecasting using remote sensing information. Dalia also currently serves as the Global Precipitation Measurement (GPM) Mission Applications Scientist.



Research Physical Scientist, NASA GSFC,  January 2011 to present
Research focuses on landslide modeling using remotely sensed surface and precipitation information and uncertainty modeling using the Land Information System (LIS) computing framework.

Global Precipitation Measurement (GPM) Mission, July 2010 – present

Applications Scientist, NASA GSFC
Communicate and facilitate the scientific applications of the precipitation products that will be provided through the GPM mission.

Research Associate, ESSIC, University of Maryland,  2010 –2011
Worked with scientists in Hydrological Sciences at NASA GSFC to consider two landslide modeling frameworks, evaluating inputs, scaling and performance accuracy.

NASA Postdoctoral Program Fellow, NASA GSFC,  2009-2010
Worked in Hydrological Sciences to develop and evaluate satellite-based landslide hazard assessment tools to improve global and regional landslide modeling.

Visiting Graduate Student, Massachusetts Institute of Technology (MIT) 2008-2009

Collaborated with the Hydrology Research group in the Civil and Environmental Engineering Department to develop landslide susceptibility methodologies and compare results within Central America and the Caribbean region.

Graduate Student Summer Fellow, NASA GSFC, Summer 2007
Developed an original landslide inventory database and used it to evaluate a prototype NASA satellite-based global landslide hazard algorithm.

Young Scientist Summer Program Fellow, Summer 2006
Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
Used an economic and financial risk model (CATSIM) to evaluate hurricane risk and vulnerability in Jamaica.

Honors and Awards


Taramelli, A., M. Pasqui, J. Barbour, 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

Kirschbaum, D.B., R. Adler, D. Adler, C. Peters-Lidard, and G. Huffman (2012). Global Distribution of Extreme Precipitation and High-Impact Landslides in 2010 Relative to Previous Years Journal of Hydrometeorology, 13(5), 1536-1551

Kirschbaum, D.B., and H. Fukioka (2012). Remote sensing and modeling of landslides: detection, monitoring and risk evaluation Environment Earth Sciences, 66(6), 1583

Liao, Z, Hong, Y., D.B. Kirschbaum, and Liu, C. (2012). Assessment of shallow landslides from Hurricane Mitch in central America using a physically based model Environment Earth Sciences, 66(6), 1697-1705

P.A. Kucera, E.E. Ebert, J.F. Turk, V. Levizzani, D.B. Kirschbaum, F.J. Tapiador, A. Loew, and et al. (2012). Precipitation from Space: Advancing Earth System Science Bulletin of the American Meteorological Society, 94(3), 365-375

Kirschbaum, D.B., Robert Adler, Yang Hong, S.V. Kumar, C. Peters-Lidard, and Arthur Lerner-Lam (2011). Advances in landslide nowcasting: evaluation of a global and regional modeling approach Environmental Earth Sciences.

Kirschbaum, D., R. Adler, Y. Hong, S. Kumar, C. Peters-Lidard, and A. Lerner-Lam (2011). Advances in landslide hazard nowcasting: Evaluation of a global and regional modeling approach Environmental Earth Sciences.

Kirschbaum, D., and A. Hou (2011). Advancing Extreme Weather Monitoring from Space: From TRMM to GPM April 18th, from Earthzine

Hong, Y., R.F. Adler, D. Kirschbaum, and G.J. Huffman (2009). Satellite Remote Sensing for Landslide Susceptibility Mapping and Landslide Occurrence Prediction on a Global Basis (contribution to Chapter 18 of Part IV ).. In K. Sassa and P. Canuti (Ed.), Landslides Disaster Risk Reduction. Springer: Springer.

Kirschbaum, D., R. Adler, Y. Hong, and A. L. 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. Adler, Y. Hong, S. Hill, and A. L. Lerner-Lam (2009). A global landslide catalog for hazard applications – Method, Results and Limitations Journal of Natural Hazards, 52(3), 561-575

Bach, D., J.R. Barbour, G. Macchiavello, M. Martinelli, P. Scalas, C. Small, C.P. Stark, A. Taramelli, L. Torriano, and J. Weissel (2007). Integration of advanced remote sensing technologies to investigate the dust and sand storm source areas International Center for Agricultural Research in the Dry Areas, 387-397

Menke, W., H. Abend, D. Bach, K. Newman, and V. Levin (2006). Review of the Source Characteristics of the Great Sumatra-Andaman Islands Earthquake of 2004 Surv Geophy, 27, 603–613