ESSIC and the Cooperative Institute for Satellite tv for pc Earth System Research (CISESS) of the College of Maryland, Faculty Park, are looking for a scientist to help within the growth of a brand new bias correction scheme for the 40+ 12 months document of satellite tv for pc international sea floor temperatures.
Date posted
Feb. 21, 2023 9:45 am
Utility deadline
Mar. 21, 2023 5:00 pm
Group
ESSIC/CICESS on the College of Maryland
Location
Job description
ESSIC and the Cooperative Institute for Satellite tv for pc Earth System Research (CISESS) of the College of Maryland, Faculty Park, are looking for a scientist to help within the growth of a brand new bias correction scheme for the 40+ 12 months document of satellite tv for pc international sea floor temperatures. This work is an important facet of the manufacturing of NOAA’s next-generation long-term SST dataset, linking trendy high-accuracy observations from present satellite tv for pc knowledge to these obtained from historic sensors.
Sea floor temperature (SST) is designated an Important Local weather Variable by WMO GCOS. Since SST is consultant of the straight accessible warmth saved inside the local weather system, correct information of this parameter is vital for profitable prediction of each routine and excessive climate occasions, monitoring of regional and international local weather change, prediction of ice formation and breakup, international warmth transport, air-sea gasoline trade, and monitoring of environmental situations that will threaten ecosystems equivalent to coral reefs.
The scientist will work as a NOAA/NESDIS/STAR group member on the event of a strong bias correction scheme for SST knowledge derived from a number of new and historic sensors stretching again to the start of the satellite tv for pc document. This work, together with reprocessing of the satellite tv for pc knowledge being undertaken by different NOAA scientists, will kind the premise of a brand new long-term document of worldwide SST that can serve a variety of customers in local weather monitoring & modeling, climate and ocean forecasting, cryospheric and environmental sciences.
The candidate will work primarily with skilled UMD and NOAA scientists on the event of latest bias correction methodologies. The work would require a mixture of programming, “large knowledge” evaluation, understanding of bodily processes and satellite tv for pc retrieval strategies. There’s additionally the chance to discover the usage of ML/AI methods to uncover hidden patterns and enhance understanding of processes that trigger spatiotemporal biases within the varied datasets.
The candidate is anticipated to contribute to the next:
- Assortment and evaluation of assorted satellite tv for pc SST datasets to characterize the regional and seasonal patterns of error
- Comparability of various satellite tv for pc sources to determine relative strengths and weaknesses
- Acquiring and using extra ancillary knowledge to enhance estimates of error, as decided by the above analyses
- Understanding of the traits of present bias correction schemes when it comes to strengths and weaknesses, together with evaluation to find out similar
- Improvement and validation of latest strategies for bias correction for the assorted sensors
- Coding and working new bias correction schemes for the complete ~40-year satellite tv for pc SST dataset.
- Iteration/refinement of the outcomes, in live performance with the satellite tv for pc knowledge reprocessing group tasked with bettering the satellite tv for pc SST merchandise.
- Publishing analysis leads to peer-reviewed journals and take part in conferences.
{Qualifications}:
Information, Expertise, and Skills:
- Sturdy Expertise with code growth in FORTRAN/C/Python, script language (bash, Perl, and so on.) in Linux/Unix environments, and visualization coding in IDL, Matlab, and/or Python.
- Expertise processing giant quantities of the observational dataset utilizing a number of threads/clusters.
- Expertise with customary knowledge format, e.g., netCDF-4, and so on.
- Fundamental information of ocean-atmosphere physics associated to SST and information of arithmetic equal to that wanted for an undergraduate diploma in pure science.
- Means to work in a gaggle to develop work plans, and the flexibility to work independently to hold out assigned analysis assignments.
Desired Expertise:
- Machine Studying / Synthetic Intelligence
- Understanding of satellite tv for pc retrieval strategies and instrument calibration
- Confirmed skill to work effectively in a group setting
- Related peer-reviewed publications
- Good writing and oral communication abilities
- Some ocean science expertise fascinating however not important
{Qualifications}:
- A Grasp’s diploma (Ph.D. most well-liked) in Atmospheric Sciences, Geophysics, Aerospace/Electrical Engineering, Astronomy, Distant Sensing, Physics, or a associated Bodily Science.
Time period: One 12 months the primary occasion, with chance of renewal
To Apply: candidates ought to ship a CV with an inventory of a minimum of 3 skilled references and a canopy letter explaining how your {qualifications} meet the posted necessities to aharris2@umd.edu.
THE UNIVERSITY OF MARYLAND IS AN EQUAL OPPORTUNITY AFFIRMATIVE ACTION EMPLOYER
For extra particulars
https://essic.umd.edu/joom2/index.php/employment/3122-global-sea-surface-temperature-scientist
