Performance Optimization of Operational WRF Model Configured for Indian Monsoon Region

Andraju, Pavani; Kanth, A Lakshmi; Kumari, K. V. V. Ananthalakshmi; Rao, S. Vijaya Bhaskara

doi:10.1007/s41748-019-00092-2

Cited by 13 publications

(6 citation statements)

References 25 publications

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“…WRF model mainly includes four parts: Standard Initialization Module (WRF-SI), data assimilation system (DA), dynamical kernel and post-processing module. The system of WRF model is portable, easy to maintain, expandable, efficient and convenient, which makes the establishment of numerical weather prediction model more convenient, leading to being widely used in universities, scientific research and business departments [25][26] . In this study, the numerical weather prediction WRF model was used to calculate meteorological elements, including all-band total radiation, all-band scattered radiation, all-band direct radiation, visible light total radiation, visible light scattered radiation, visible light direct radiation, wind speed, wind direction, temperature, air pressure, humidity, cloud cover, and other variables.…”

Section: Data Forecasted By the Numerical Weather Modelmentioning

confidence: 99%

Study on a hybrid solar power prediction model based on a numerical weather prediction and random forests

GUAN,

Zou

2024

Preprint

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Photovoltaic grid-connected applications pose challenges to the stable and safe operation of power systems. Solar power predicted by a hybrid model based on numerical weather prediction (NWP) and random forests (RF) in order to enable grid-connected planning to balance fluctuations. Using downward solar short-wave radiation flux, temperature, wind speed, and other meteorological parameters obtained from the numerical weather forecast model, PV power forecast models with different initial time and durations under various weather conditions by RF are established. The correlations between observed and predicted power in daily, monthly and seasonal change are analyzed and both two powers are compared under three different detailed weather types. The results show that compared with NWP-principle method, this hybrid NWP-RF method can simulate the change of solar power under different weather conditions in the middle-lower plain of the Yangtze River more accurately. This model has an acceptable amount of data computation and high prediction accuracy, so that it can apply to engineering.

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Section: Data Forecasted By the Numerical Weather Modelmentioning

confidence: 99%

Study on a hybrid solar power prediction model based on a numerical weather prediction and random forests

GUAN,

Zou

2024

Preprint

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“…The WRF [17] During the experiment, we proposed the scheme of "thread allocation + core binding" optimization. To make full use of CPU resources, we assigned a process to multiple threads and made the number of CPU cores equal to the number of threads multiplied by the number of processes (CPU cores = threads * processes).…”

Section: Wrfmentioning

confidence: 99%

A performance evaluation of the Kunpeng 920 cluster in benchmarks and HPC applications

Hu,

Li,

Zhang

et al. 2023

International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023)

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“…The impact was felt not only in Australia, but also across Indonesia (Ningsih et al, 2020;Amaral et al, 2023). These storms occurred relatively close to Indonesian territory and contributed to the occurrence of waves and a rise in sea level on the southern coast of Indonesia (Andraju et al, 2019). Moreover, Cyclone Nicholas, which occurred in Western Australia, also generated high wave phenomena and sea level anomalies on the western coast of Sumatra and the southern coast of Java and Bali (Anushka et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…WRF allows researchers to generate simulations that reflect actual data (Vinet et al, 2020). In addition, WRF provides a relatively flexible and robust operating system for forecasting (Andraju et al, 2019;Boutin et al, 2023). It should be noted that WRF is appropriate for research and weather forecasts (Mostafa et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Development of Tropical Storm Nicholas based on Global and Regional Climate Data

Wahyuni,

Shabrina,

Lobma

et al. 2023

For. Geo.

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This paper studies the simulation of Cyclone Nicholas that occurred close to the coastal area of Western Australia and fell on the mainland of Southwestern Australia. The simulation was conducted via a dynamical downscaling model, Weather Research and Forecasting (WRF), to obtain a higher resolution with reference to the regional climate data. The model simulation is generated using a global reanalysis of climate data for the initial and lateral boundary conditions. We investigated the response of the tropical storm to the model regarding the track and intensity using a modified Kyklop method that appears more appropriate for a landfall cyclone. Our study suggests that the regional climate data computed by the model deviates from the storm track of the global climate data forcing field. In this study, the track of the simulated storm is parallel to the satellite data, but it is shifted slightly to the east, closer to the mainland. Nevertheless, the model simulation can implement the intensity of the storm as strongly as the observation, while the forcing data delivers substantial underestimation.

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Performance Optimization of Operational WRF Model Configured for Indian Monsoon Region

Cited by 13 publications

References 25 publications

Study on a hybrid solar power prediction model based on a numerical weather prediction and random forests

Study on a hybrid solar power prediction model based on a numerical weather prediction and random forests

A performance evaluation of the Kunpeng 920 cluster in benchmarks and HPC applications

Investigation of the Development of Tropical Storm Nicholas based on Global and Regional Climate Data

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