[ES_JOBS_NET] Postdoctoral Opportunity in Lidar and DGVM Studies

[Kiang, Nancy Y. (GSFC-6110)]

Dear Colleague:

Please share this NASA Postdoctoral Program opportunity:

Title:  Earth Science:  Integrating Satellite Remote Sensing with a Demographic Dynamic Global Vegetation Model
https://www.zintellect.com/Opportunity/Details/0015-NPP-MAR24-GISS-EarthSci

A key challenge in constraining uncertainty in land carbon dynamics is how to represent the vertical and horizontal spatial heterogeneity and community structure of vegetation canopies in dynamic global vegetation models (DGVMs) that couple with climate models.   DGVMs that represent demography of vegetation communities -- the distribution of plants of different sizes -- offer a promising, still emerging computational framework.  Satellite lidar data are now also emerging as a means to quantify observed vertical canopy structure.  Our group pursues studies to incorporate such data into a demographic DGVM coupled to the NASA GISS Model Earth System Model.  We use satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS), the  Global Ecosystem Dynamics Investigation (GEDI), and other Earth observing missions.

Postdoctoral fellows are invited to propose research incorporating lidar observations of vegetation at the site, regional and/or global scales.  Studies could involve, but are not limited to:
(1) radiative transfer and albedo
(2)  plant allometry to constrain canopy structure, vegetation biomass, and radiative transfer metrics
(3) development of new satellite lidar data products estimating vegetation demography or landscape structure
(5) coupled climate-carbon cycle simulation experiments that may incorporate any of the above, including climate change, seasonality, fire dynamics.

Successful applicants should have experience with mathematical modeling, computer programming on unix or linux platforms, and analyzing field and remote sensing datasets. Background in the following is highly desirable: Earth, Physical, and/or Computing Sciences, Carbon Cycle Science, advanced statistics, programming in a compiled language like C or FORTRAN95, and scripting with python or R.

Location:
Goddard Institute for Space Studies
New York City, New York

Field of Science: Earth Science

Advisor:
Nancy Y. Kiang
Nancy.Y.Kiang at nasa.gov
(212) 678-5553

------------------------
Dr. Nancy Y. Kiang
NASA Goddard Institute for Space Studies (GISS)
Code 611
2880 Broadway, New York, NY  10025
Tel: (212) 678-5553
Fax: (212) 678-5552
Email: Nancy.Y.Kiang at nasa.gov<mailto:Nancy.Y.Kiang at nasa.gov>
Website: http://www.giss.nasa.gov

Jet Propulsion Laboratory / CalTech
4800 Oak Grove Dr.
Bldg. 321-156C
Pasadena, CA   91109

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