Fast infrared radiative transfer calculations using graphics processing units: JURASSIC-GPU v2.0
نویسندگان
چکیده
Abstract. Remote sensing observations in the mid-infrared spectral region (4–15 µm) play a key role monitoring composition of Earth's atmosphere. Mid-infrared measurements from satellite, aircraft, balloons, and ground-based instruments provide information on pressure, temperature, trace gases, aerosols, clouds. As state-of-the-art deliver vast amount data global scale, their analysis may require advanced methods high-performance computing capacities for processing. A large time is usually spent evaluating radiative transfer equation. Line-by-line calculations infrared are considered to be most accurate, but they also time-consuming. Here, we discuss emissivity growth approximation (EGA), which can accelerate by several orders magnitude compared with line-by-line calculations. future satellite missions will likely depend exascale systems process observational due time, think that utilization graphical processing units (GPUs) retrievals logical next step further accelerating improving efficiency Focusing EGA method, first implementation GPU-based detail. Second, distinct features our particular regarding memory needs, performance, scalability, GPU systems. found perform about an order more energy-efficient GPU-accelerated architectures CPU, conclude approach provides various opportunities this high-throughput problem.
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ژورنال
عنوان ژورنال: Geoscientific Model Development
سال: 2022
ISSN: ['1991-9603', '1991-959X']
DOI: https://doi.org/10.5194/gmd-15-1855-2022