Synergistic use of Remote Sensing and Modeling for Estimating Net Primary Productivity in the Red Sea with Models Intercomparison

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ADS bibcode
2019AGUFMOS21C1756L
year
2019
Listed Authors
Li, W.
Tiwari, S. P. P.
El-Askary, H. M.
Qurban, M.
Amiridis, V.
ManiKandan, K. P.
Garay, M. J.
Kalashnikova, O. V.
Piechota, T.
Struppa, D.
Listed Institutions
Schmid College of Science and Technology, Chapman University, Orange, CA, United States
Center for Environment and Water, KFUPM, Dhahran, Saudi Arabia
Department of Environmental Science, Faculty of Science, Alexandria University, Alexandria, EgyptAF: Center of Excellence in Earth Systems Modeling & Observations, Chapman University, Orange, CA, United States
Geosciences Department, the college of Petroleum Engineering & Geosciences, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
IAASARS, National Observatory of Athens, Athens, Greece
Center for Environment and Water, The Research Institute, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Schmid College of Science and Technology, Chapman University, Orange, CA, United States
Schmid College of Science and Technology, Chapman University, Orange, CA, United States

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