The World Modeling and Assimilation Workplace at NASA/GSFC is on the lookout for a scientist to
conduct predictability research utilizing the Goddard Earth Observing System (GEOS) ambiance Seasonal to Subseasonal prediction system (GEOS-S2S).
Date posted
Oct. 20, 2022 1:30 pm
Software deadline
Nov. 30, 2022 5:00 pm
Group
ESSIC on the College of Maryland
Location
Job description
Duties:
Seamless Prediction and Predictability from Climate to Subseasonal to Seasonal Scales
Synopsis of Place:
The World Modeling and Assimilation Workplace at NASA/GSFC is on the lookout for a scientist to
conduct predictability research utilizing the Goddard Earth Observing System (GEOS) ambiance
Seasonal to Subseasonal prediction system (GEOS-S2S).
The profitable candidate could have the first duty for finding out and figuring out
the graceful transition of predictability from climate to subseasonal lead occasions and that
from subseasonal to seasonal lead occasions. At current, the predictability is
assumed to abruptly transition between one lead and one other, in an advert hoc method. The
massive suite of retrospective forecasts with GEOS-S2S shall be used to check the transitions
and decide, with acceptable metrics, how the predictability could differ with state or regime.
Machine studying methods and software program shall be helpful instruments in figuring out the most effective metrics.
The place entails evaluation of GEOS-S2S retrospective forecasts, and shall be carried out in collaboration with different members of the GMAO seasonal prediction group. This place is designed for a post-doctoral researcher or an early profession scientist with expertise within the metrics for seasonal prediction and dealing with massive quantities of knowledge.
{Qualifications}:
Schooling:
Masters or Phd in atmospheric or ocean sciences or pc sciences. Specifics of duties
and duties commensurate with training and expertise.
Expertise:
3+ years of expertise with analyzing outcomes advanced scientific fashions (atmospheric or ocean fashions or their particular person parts are most popular).
To Apply: candidates ought to ship a CV with an inventory of not less than 3 skilled references and a canopy letter explaining how your {qualifications} meet the posted necessities to andrea.m.molod@nasa.gov.
THE UNIVERSITY OF MARYLAND IS AN EQUAL OPPORTUNITY AFFIRMATIVE ACTION EMPLOYER
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