Results 1 to 10 of about 471 (243)

Impacts of Spectral Nudging Parameters on Dynamical Downscaling in Summer over Mainland China [PDF]

Frontiers in Earth Science, 2020
Spectral nudging is an important method of improving the effectiveness of dynamical downscaling in the Weather Research and Forecasting model (WRF). However, spectral nudging is sensitive to nudging parameters, and most related research has typically ...
Xiaoping Mai, Xiaoping Mai, Xiaobin Qiu, Xiaobin Qiu, Yi Yang, Yuanyuan Ma   +5 more
doaj   +4 more sources

Differences between downscaling with spectral and grid nudging using WRF [PDF]

Atmospheric Chemistry and Physics, 2012
Dynamical downscaling has been extensively used to study regional climate forced by large-scale global climate models. During the downscaling process, however, the simulation of regional climate models (RCMs) tends to drift away from the driving fields ...
P. Liu, A. P. Tsimpidi, Y. Hu, B. Stone, A. G. Russell, A. Nenes   +5 more
doaj   +4 more sources

Development and evaluation of spectral nudging strategy for the simulation of summer precipitation over the Tibetan Plateau using WRF (v4.0) [PDF]

Geoscientific Model Development, 2021
Precipitation is the key component determining the water budget and climate change of the Tibetan Plateau (TP) under a warming climate. This high-latitude region is regarded as “the Third Pole” of the Earth and the “Asian Water Tower” and influences the ...
Z. Huang, L. Zhong, L. Zhong, L. Zhong, Y. Ma, Y. Ma, Y. Ma, Y. Fu   +7 more
doaj   +2 more sources

Impact of Wave Number Choice in Spectral Nudging Applications During a South Atlantic Convergence Zone Event

Frontiers in Earth Science, 2018
Several studies showed the advantages of using nudging techniques to enforce the evolution of a numerical model to approximate large-scale features to a reference.
Natália Pillar da Silva, Ricardo de Camargo   +1 more
doaj   +3 more sources

The Use of a Spectral Nudging Technique to Determine the Impact of Environmental Factors on the Track of Typhoon Megi (2010)

Atmosphere, 2017
Sensitivity tests based on a spectral nudging (SN) technique are conducted to analyze the effect of large-scale environmental factors on the movement of typhoon Megi (2010).
Xingliang Guo, Wei Zhong
doaj   +3 more sources

A ten-year (2012–2021) fine-resolution (1 km, hourly) precipitation dataset over southeastern Tibetan Plateau [PDF]

Scientific Data
Intense sub-daily precipitation on the Tibetan Plateau (TP) can trigger a cascade of natural hazards (flash floods, debris flows, etc.), causing significant environmental impacts. Current precipitation products for the TP often lack sufficient spatial or
Dayang Li, Ye Shen, Xianyi Ye, Xiaohua Fu, Yang Yang, Tinghai Ou, Deliang Chen, Fuqiang Tian, Long Yang   +8 more
doaj   +2 more sources

Atmospheric Moisture Pathways to the Highlands of the Tropical Andes: Analyzing the Effects of Spectral Nudging on Different Driving Fields for Regional Climate Modeling

Atmosphere, 2018
Atmospheric moisture pathways to the highlands of the tropical Andes Mountains were investigated using the Weather Research and Forecasting (WRF) model, as well as back-trajectory analysis.
Katja Trachte
doaj   +3 more sources

High resolution Tibetan Plateau regional reanalysis 1961-present [PDF]

Scientific Data
With the rapid global warming in recent decades, the Tibetan Plateau (TP) has suffered severe impacts, such as glacier retreat, glacial lake expansion, and permafrost degradation, which threaten the lives and properties of the local and downstream ...
Peifeng Zhou, Jianping Tang, Mengnan Ma, Dabin Ji, Jiancheng Shi   +4 more
doaj   +2 more sources

Improving Typhoon Predictions by Integrating Data‐Driven Machine Learning Model With Physics Model Based on the Spectral Nudging and Data Assimilation

Earth and Space Science
The rapid advancement of data‐driven machine learning (ML) models has improved typhoon track forecasts, but challenges remain, such as underestimating typhoon intensity and lacking interpretability. This study introduces an ML‐driven hybrid typhoon model,
Zeyi Niu, Wei Huang, Lei Zhang, Lin Deng, Haibo Wang, Yuhua Yang, Dongliang Wang, Hong Li   +7 more
doaj   +2 more sources

Enhanced Simulation of the Indian Summer Monsoon Rainfall Using Regional Climate Modeling and Continuous Data Assimilation

Frontiers in Climate, 2022
This study assesses a Continuous Data Assimilation (CDA) dynamical-downscaling algorithm for enhancing the simulation of the Indian summer monsoon (ISM) system. CDA is a mathematically rigorous technique that has been recently introduced to constrain the
Srinivas Desamsetti, Srinivas Desamsetti, Hari Prasad Dasari, Sabique Langodan, Sabique Langodan, Yesubabu Viswanadhapalli, Raju Attada, Thang M. Luong, Omar Knio, Edriss S. Titi, Edriss S. Titi, Ibrahim Hoteit   +11 more
doaj   +1 more source