Model
Analysis Intercomparision Research: Our objective
is to utilize the full depth and breadth of observations and model
data being collected during the CEOP to quantify the uncertainties
of analysis systems to produce water and energy budgets, as well as
monsoon circulations, on regional and global scales. Independent
observations (such as EOS) will provide critical validation
metrics. The prevailing task is to implement the CEOP model data
base, with contributions from multiple operational analysis
systems, to ascertain the uncertainty of analyses and compare the
analyses to independent observations (especially enhanced in-situ
stations and global EOS products). The primary scientific process
studies that these analyses will focus on are surface water and
engergy budgets and monsoon water cycles. R Shrestha is using
combinations of modeling and data assimilation techniques to
further enhance the predictability of uncertainty with
state-of-the-art water cycle models.
Short
Bio: R Shrestha earned Doctoral Degree from
Kyoto University,
Japan and spent a year as a Postdoc Research Associate in
Univ. of Minnesota before joining
CREW.
R Shrestha is happily
married and has two little daughters.
Professional Memberships:
Last Updated: 11 October
2006