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Physical Sciences and Mathematics Commons

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Full-Text Articles in Physical Sciences and Mathematics

Synergistic Use Of Remote Sensing And Modeling For Estimating Net Primary Productivity In The Red Sea With Vgpm, Eppley-Vgpm, And Cbpm Models Intercomparison, Wenzhao Li, Surya Prakash Tiwari, Hesham El-Askary, Mohamed Ali Qurban, Vassilis Amiridis, K. P. Manikandan, Michael J. Garay, Olga V. Kalashnikova, Thomas C. Piechota, Daniele C. Struppa May 2020

Synergistic Use Of Remote Sensing And Modeling For Estimating Net Primary Productivity In The Red Sea With Vgpm, Eppley-Vgpm, And Cbpm Models Intercomparison, Wenzhao Li, Surya Prakash Tiwari, Hesham El-Askary, Mohamed Ali Qurban, Vassilis Amiridis, K. P. Manikandan, Michael J. Garay, Olga V. Kalashnikova, Thomas C. Piechota, Daniele C. Struppa

Mathematics, Physics, and Computer Science Faculty Articles and Research

Primary productivity (PP) has been recently investigated using remote sensing-based models over quite limited geographical areas of the Red Sea. This work sheds light on how phytoplankton and primary production would react to the effects of global warming in the extreme environment of the Red Sea and, hence, illuminates how similar regions may behave in the context of climate variability. study focuses on using satellite observations to conduct an intercomparison of three net primary production (NPP) models--the vertically generalized production model (VGPM), the Eppley-VGPM, and the carbon-based production model (CbPM)--produced over the Red Sea domain for the 1998-2018 time period. …


Improving Scientist Productivity, Architecture Portability, And Performance In Parflow, Michael Burke May 2020

Improving Scientist Productivity, Architecture Portability, And Performance In Parflow, Michael Burke

Boise State University Theses and Dissertations

Legacy scientific applications represent significant investments by universities, engineers, and researchers and contain valuable implementations of key scientific computations. Over time hardware architectures have changed. Adapting existing code to new architectures is time consuming, expensive, and increases code complexity. The increase in complexity negatively affects the scientific impact of the applications. There is an immediate need to reduce complexity. We propose using abstractions to manage and reduce code complexity, improving scientific impact of applications.

This thesis presents a set of abstractions targeting boundary conditions in iterative solvers. Many scientific applications represent physical phenomena as a set of partial differential equations …