ORAU
Improving the Global Ocean Winds Climate Data Record Using New Data and Theoreti
ORAU, Pasadena, California, United States, 91122
Improving the Global Ocean Winds Climate Data Record Using New Data and Theoretical Modeling
Join to apply for the
Improving the Global Ocean Winds Climate Data Record Using New Data and Theoretical Modeling
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ORAU Improving the Global Ocean Winds Climate Data Record Using New Data and Theoretical Modeling
1 month ago Be among the first 25 applicants Join to apply for the
Improving the Global Ocean Winds Climate Data Record Using New Data and Theoretical Modeling
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ORAU Organization
National Aeronautics and Space Administration (NASA) Organization
National Aeronautics and Space Administration (NASA)
Reference Code
0143-NPP-NOV25-JPL-EarthSci
How To Apply
All applications must be submitted in Zintellect
Please visit the NASA Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org)
A complete application to the NASA Postdoctoral Program includes:
Research proposal Three letters of recommendation Official doctoral transcript documents
Application Deadline
11/1/2025 6:00:59 PM Eastern Time Zone
Description
About the
NASA Postdoctoral Program
The NASA Postdoctoral Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.
Description:
Space-based scatterometers are active instruments designed to measure ocean surface vector winds. Observations from several spaceborne scatterometer missions have been collected over the past 25 years, including the C-band European Space Agency (ESA) ERS-1/2 and ASCAT sensors beginning in 1991 to current, the Ku-band NASA‘s NSCAT QuikSCAT, SeaWinds, and ISS-RapidScat scatterometers, and the Ku-band ISRO‘s OceanSat-2. There is concurrently a large set of passive microwave radiometric windspeed data from sensors such as AMSR-E, WindSat, TRMM, GPM and recently L-band (~1 GHz) from Aquarius. In late 2016, the OceanSat-2 follow-on (ScatSat) will be deployed into a similar orbital plane and crossing time as ASCAT, providing for the first time continuous joint C/Ku-band observations.
Scatterometers measure radar backscatter induced from Bragg scattering off gravity-capillary waves, generated by wind forcing. For speeds below 5 m/s, winds generate waves by breaking the surface tension. For winds above 5 m/s, wave breaking will start to occur. Owing to the complex, frequency-dependent and geometry-dependent physical relationships between the measurements and the wind-induced ocean surface properties, scatterometer wind products are commonly estimated from empirically derived geophysical model functions (GMF).
The scatterometer-derived ocean surface wind vector data have proved to be very useful for studies of ocean air-sea interaction, ocean circulation, and are widely used by operational numerical weather prediction forecast centers. However, recent studies have found that the wind estimates from the different scatterometers compared differently to the model winds. These discrepancies have geographical patterns that suggest differences in the estimated large-scale atmospheric circulation and differences in the estimated forcing of the ocean. Further progress in using scatterometer winds to drive ocean models and to understand the climate system and its trends requires a better understanding of, and accounting for, the sources of the differences in the instrument-specific wind estimates.
This opportunity will address the challenge of combining this diverse set of space-based ocean surface wind observations and employing theoretical models to: (a) improve the understanding of the wind-driven ocean surface wave spectrum that drives the relationship between the ocean wind and the radar backscatter; (b) to use the physical properties of the ocean surface to understand the differences amongst various sensor-specific GMFs; (c) to understand the frequency-specific atmospheric modulation of the wind-induced surface backscatter. This atmospheric modulation includes effects of rain in the atmosphere, as well as the effects of rain impinging on the ocean surface. (d) to interpret these findings in such a way to improve the merger and intercalibration of wind retrievals from the many sensors, to assemble a self-consistent climate data record of global winds.
Location:
Jet Propulsion Laboratory
Pasadena, California
Field of Science: Earth Science
Advisors:
Ernesto Rodriguez
ernesto.rodriguez@jpl.nasa.gov
8183545668
Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States.
A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control.
Eligibility is currently open to:
U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible for an Exchange Visitor J-1 visa status; and, Applicants for LPR, asylees, or refugees in the U.S. at the time of application with 1) a valid EAD card and 2) I-485 or I-589 forms in pending status
Questions about this opportunity?
Please email npp@orau.org
Point of Contact
Mikeala
Eligibility Requirements
Degree: Doctoral Degree.
Seniority level
Seniority level Internship Employment type
Employment type Full-time Job function
Job function Information Technology Industries Government Administration Referrals increase your chances of interviewing at ORAU by 2x Sign in to set job alerts for “Data Specialist” roles.
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Join to apply for the
Improving the Global Ocean Winds Climate Data Record Using New Data and Theoretical Modeling
role at
ORAU Improving the Global Ocean Winds Climate Data Record Using New Data and Theoretical Modeling
1 month ago Be among the first 25 applicants Join to apply for the
Improving the Global Ocean Winds Climate Data Record Using New Data and Theoretical Modeling
role at
ORAU Organization
National Aeronautics and Space Administration (NASA) Organization
National Aeronautics and Space Administration (NASA)
Reference Code
0143-NPP-NOV25-JPL-EarthSci
How To Apply
All applications must be submitted in Zintellect
Please visit the NASA Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org)
A complete application to the NASA Postdoctoral Program includes:
Research proposal Three letters of recommendation Official doctoral transcript documents
Application Deadline
11/1/2025 6:00:59 PM Eastern Time Zone
Description
About the
NASA Postdoctoral Program
The NASA Postdoctoral Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.
Description:
Space-based scatterometers are active instruments designed to measure ocean surface vector winds. Observations from several spaceborne scatterometer missions have been collected over the past 25 years, including the C-band European Space Agency (ESA) ERS-1/2 and ASCAT sensors beginning in 1991 to current, the Ku-band NASA‘s NSCAT QuikSCAT, SeaWinds, and ISS-RapidScat scatterometers, and the Ku-band ISRO‘s OceanSat-2. There is concurrently a large set of passive microwave radiometric windspeed data from sensors such as AMSR-E, WindSat, TRMM, GPM and recently L-band (~1 GHz) from Aquarius. In late 2016, the OceanSat-2 follow-on (ScatSat) will be deployed into a similar orbital plane and crossing time as ASCAT, providing for the first time continuous joint C/Ku-band observations.
Scatterometers measure radar backscatter induced from Bragg scattering off gravity-capillary waves, generated by wind forcing. For speeds below 5 m/s, winds generate waves by breaking the surface tension. For winds above 5 m/s, wave breaking will start to occur. Owing to the complex, frequency-dependent and geometry-dependent physical relationships between the measurements and the wind-induced ocean surface properties, scatterometer wind products are commonly estimated from empirically derived geophysical model functions (GMF).
The scatterometer-derived ocean surface wind vector data have proved to be very useful for studies of ocean air-sea interaction, ocean circulation, and are widely used by operational numerical weather prediction forecast centers. However, recent studies have found that the wind estimates from the different scatterometers compared differently to the model winds. These discrepancies have geographical patterns that suggest differences in the estimated large-scale atmospheric circulation and differences in the estimated forcing of the ocean. Further progress in using scatterometer winds to drive ocean models and to understand the climate system and its trends requires a better understanding of, and accounting for, the sources of the differences in the instrument-specific wind estimates.
This opportunity will address the challenge of combining this diverse set of space-based ocean surface wind observations and employing theoretical models to: (a) improve the understanding of the wind-driven ocean surface wave spectrum that drives the relationship between the ocean wind and the radar backscatter; (b) to use the physical properties of the ocean surface to understand the differences amongst various sensor-specific GMFs; (c) to understand the frequency-specific atmospheric modulation of the wind-induced surface backscatter. This atmospheric modulation includes effects of rain in the atmosphere, as well as the effects of rain impinging on the ocean surface. (d) to interpret these findings in such a way to improve the merger and intercalibration of wind retrievals from the many sensors, to assemble a self-consistent climate data record of global winds.
Location:
Jet Propulsion Laboratory
Pasadena, California
Field of Science: Earth Science
Advisors:
Ernesto Rodriguez
ernesto.rodriguez@jpl.nasa.gov
8183545668
Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States.
A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control.
Eligibility is currently open to:
U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible for an Exchange Visitor J-1 visa status; and, Applicants for LPR, asylees, or refugees in the U.S. at the time of application with 1) a valid EAD card and 2) I-485 or I-589 forms in pending status
Questions about this opportunity?
Please email npp@orau.org
Point of Contact
Mikeala
Eligibility Requirements
Degree: Doctoral Degree.
Seniority level
Seniority level Internship Employment type
Employment type Full-time Job function
Job function Information Technology Industries Government Administration Referrals increase your chances of interviewing at ORAU by 2x Sign in to set job alerts for “Data Specialist” roles.
Burbank, CA $79,000.00-$133,000.00 2 weeks ago Data Analyst, Production Finance Operations & Innovation
Santa Monica, CA $51,000.00-$84,608.00 3 days ago Los Angeles, CA $136,800.00-$312,867.00 2 weeks ago Don't see a job that matches your experience? Submit your resume here!
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Burbank, CA $78,200.00-$104,800.00 1 month ago Data Analyst, Global Partnerships & Content
Data Analyst (Social Analytics - LucasFilm)
Burbank, CA $78,200.00-$104,800.00 2 hours ago Los Angeles, CA $123,627.00-$220,612.00 2 weeks ago Data Protection & Privacy Operation Specialist - USDS
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Staff Quantitative UX Researcher, Data Analytics, Google Ads
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr