Estimation of Physical Upper Bound of Precipitation Caused by Weather Front in Japan
Estimation of Physical Upper Bound of Precipitation Caused by Weather Front in Japan
批准号:
19H02251
负责人:
ISHIDA KEI
金额:
$7.9万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B)
财政年份:
2019
资助国家:
日本
项目状态:
已结题
起止时间:
2019-04-01 至 2022-03-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
Comparison between 2D-CNN a 3D-CNN for precipitation downscaling
2D-CNN 与 3D-CNN 在降水降尺度方面的比较
DOI:
--
发表时间:
2020
期刊:
影响因子:
--
作者:
[Takeyoshi Nagasato, Kei Ishida, Kazuki Yokoo, Masato Kiyama and Motoki Amagasaki]
通讯作者:
Masato Kiyama and Motoki Amagasaki
Effects of Input Variables Selection on Accuracy of Watershed-scale Precipitation Downscaling by Means of Convolutional Neural Network
输入变量选择对卷积神经网络流域尺度降水降尺度精度的影响
DOI:
--
发表时间:
2021
期刊:
影响因子:
--
作者:
[Takeyoshi Nagasato, Kei Ishida, Kazuki Yokoo, Masato Kiyama, and Motoki Amagasaki]
通讯作者:
and Motoki Amagasaki
Effects of Topography on Intense Precipitation during the 2017 July Northern Kyushu Storm in Japan
地形对2017年7月日本九州北部风暴强降水的影响
DOI:
--
发表时间:
2021
期刊:
影响因子:
--
作者:
[Kei Ishida, Kazuki Yokoo, and Takeyoshi Nagasato]
通讯作者:
and Takeyoshi Nagasato
Physically-based Estimation of Probable Maximum Precipitation under a Changing Climate
气候变化下可能最大降水量的物理估计
DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
[Kei Ishida, M.L. Kavvas, Z.Q. Chen, A. Ercan]
通讯作者:
A. Ercan
Effects of the spatial and temporal resolution of meteorological data on the accuracy of precipitation estimation by means of CNN
气象数据时空分辨率对CNN降水估算精度的影响
DOI:
--
发表时间:
2021
期刊:
影响因子:
--
作者:
[Takeyoshi Nagasato, Kei Ishida , Kazuki Yokoo, Masato Kiyama and Motoki Amagasaki]
通讯作者:
Masato Kiyama and Motoki Amagasaki
共 8 条
Sensitivity Analysis and Verification of Regional Climate Model over South-East Asia
-
批准号:17H06966
-
项目类别:Grant-in-Aid for Research Activity Start-up
-
资助金额:$1.91万
-
财政年份:2017
-
负责人:ISHIDA KEI
-
依托单位:
海外基金