REPRODUCTION OF TYPHOON HAGIBIS USING WRF-ARW MODEL AND IMPACT ANALYSIS AGAINST CHANGES IN SEA SURFACE TEMPERATURE
نویسندگان
چکیده
The 2019 Typhoon Hagibis brought heavy rainfall to eastern Japan. In the downstream basin of Arakawa River, which is located in Metropolitan area, water level rose close inundation risk level. As flooding likely occur event still heavier rainfall, it necessary obtain data on increased as basic information for planning evacuation activities. This paper reports results a reproducibility study together with an analysis changes due manipulation sea temperature using Weather and Research Forecasting (WRF) model their impact. overall shape hyetograph was reproduced study, albeit differences peak time amount rainfall. addition, verified that fluctuates correspondence fluctuations surface temperature. revealed this caused by effect topography upstream basin, addition course typhoon resulting from atmospheric pressure field fluctuation vapor flux.
منابع مشابه
Investigation of Long Term Trend of Spatio-Temporal changes of Sea Surface Temperature in Oman Sea
Considering the vast application of sea surface temperature in climatic and oceanic investigations, this parameter was studied in Oman Sea from 1986 to 2015. The SST was surveyed using trend analysis and Global and local Moran’s I spatial autocorrelation. In trend analysis, the Mann-Kendall test was used to determine the trend of SST changes and the Sen's Estimator method was used to examine th...
متن کاملanalysis of sea surface current in sea surface temperature images
oceanographic images obtained from environmental satellites by a wide range of sensors allow characterizing natural phenomena through different physical measurements. for instance sea surface temperature (sst) images, altimetry data and ocean color data can be used for characterizing currents and vortex structures in the ocean. the purpose of this thesis is to derive a relatively complete frame...
متن کاملThe pattern determination of sea surface temperature distribution and chlorophyll a in the Southern Caspian Sea using SOM Model
Remote sensing has changed modern oceanography by proving synoptic periodic data which can be processed. Since the satellite data are usually too much and nonlinear, in most cases, it is difficult to distinguish the patterns from these images. In fact, SOM (Self-Organizing Maps) model is a type of ANN (Artificial Neural Network) that has the ability to distinguish the efficient patterns from th...
متن کاملThe pattern determination of sea surface temperature distribution and chlorophyll a in the Southern Caspian Sea using SOM Model
Remote sensing has changed modern oceanography by proving synoptic periodic data which can be processed. Since the satellite data are usually too much and nonlinear, in most cases, it is difficult to distinguish the patterns from these images. In fact, SOM (Self-Organizing Maps) model is a type of ANN (Artificial Neural Network) that has the ability to distinguish the efficient patterns from th...
متن کاملTrend of the Caspian Sea surface temperature changes
The interaction between sea and atmosphere has profound effects on the regions climate. Meanwhile, the sea surface temperature is considered as one of the most effective components of water bodies, and the controller of many atmospheric behaviors. Because of the importance of sea surface temperatures effects on atmospheric elements and also given the role of global warming on land and sea surfa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of JSCE
سال: 2022
ISSN: ['2187-5103']
DOI: https://doi.org/10.2208/journalofjsce.10.1_30