The hassle includes improvement of Earth satellite tv for pc multi-sensor, multi-variate land knowledge assimilation methods (LDAS) inside NASA’s Land Data System (LIS) for improved understanding of worldwide warming impression on terrestrial hydrology water and vitality steadiness processes.
Date posted
Could 8, 2023 10:00 am
Software deadline
June 8, 2023 5:00 pm
Group
ESSIC on the College of Maryland
Location
Job description
Duties:
The hassle includes improvement of Earth satellite tv for pc multi-sensor, multi-variate land knowledge assimilation methods (LDAS) inside NASA's Land Data System (LIS) for improved understanding of worldwide warming impression on terrestrial hydrology water and vitality steadiness processes. Particular focus will probably be on additional enhancements to the Nationwide Local weather Evaluation-Land Information Assimilation System, or NCA-LDAS over the continental U.S., Alaska, and US. Territories. Land floor fashions (LSMs) for use will embrace primarily Noah-MP and Catchment LM, however others could also be added. Presently assimilated satellite-based geophysical information embrace snow water equal and depth, soil moisture, floor temperature, vegetation properties, groundwater and floor water peak. Work will additional improve the LDAS assimilation and parameterizations for high-latitude processes for Alaska and embrace glacier accumulation and soften, lake dynamics, and permafrost. Time collection NCA-LDAS vitality and water flux and states merchandise will probably be analyzed for local weather change indicators based mostly reminiscent of hydrologic traits. Analysis will probably be carried out underneath the general route of the Sponsor, Dr. Michael Jasinski. Different associated terrestrial hydrology research may additionally be carried out. Analysis additionally requires writing manuscripts for submission to look overview journals, displays at nationwide and worldwide conferences and responding to the suitable requires proposals.
{Qualifications}:
A PhD in Earth Science, hydrology, civil engineering or associated area. Information of land floor hydrology modeling, experience in knowledge assimilation, Fortran90 & C programming, a number of knowledge codecs together with GRIB, NetCDF and HDF. Fascinating experience consists of data of satellite tv for pc imagery and expertise in satellite-observed and/or in-situ knowledge assimilation, together with using various hydrologic fashions and ensemble strategies, processing massive quantities of numerical output knowledge on mainframe supercomputers in a FORTRAN/UNIX setting, cloud computing and utilizing superior statistical and show instruments. Extra extremely fascinating qualities embrace expertise working in a staff setting, good written and oral communication abilities, and the flexibility to be taught and develop scientific functionality and management in knowledge assimilation. Potential to acquire all needed safety clearances for entry to NASA GSFC and its laptop methods is important.
To Apply: candidates ought to ship a CV with a listing of not less than 3 skilled references and a canopy letter explaining how your {qualifications} meet the posted necessities to anegri@umd.edu.
THE UNIVERSITY OF MARYLAND IS AN EQUAL OPPORTUNITY AFFIRMATIVE ACTION EMPLOYER
For extra particulars
https://essic.umd.edu/joom2/index.php/employment/3123-land-data-assimilation-scientist