Observation-Guided Meteorological Field Downscaling at Station Scale: A
Benchmark and a New Method

Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method

22 January 2024

Wanli Ouyang

Papers citing "Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method"

7 / 7 papers shown

Title
Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution Siwei Tu Ben Fei Weidong Yang Fenghua Ling Hao Chen Zili Liu Kun Chen Hang Fan W. Ouyang Junlin Wu 74 0 0 09 Feb 2025
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models P. Hess Markus Drüke S. Petri Felix M. Strnad Niklas Boers 38 60 0 03 Jan 2025
MambaDS: Near-Surface Meteorological Field Downscaling with Topography Constrained Selective State Space Modeling Zili Liu Hao Chen Lei Bai Wenyuan Li Wanli Ouyang Zhengxia Zou Zhenwei Shi Mamba 48 5 0 20 Aug 2024
Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction Fenghua Ling Zeyu Lu Jing-Jia Luo Lei Bai S. Behera Dachao Jin Baoxiang Pan Huidong Jiang Toshio Yamagata AI4Cl 20 16 0 02 Feb 2024
Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models Fenghua Ling Ouyang Lin Boufeniza Redouane Larbi Jing-Jia Luo Tao Han Xiaohui Zhong Lei Bai AI4Cl AI4CE 17 2 0 30 Jan 2024
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework C. Jiang S. Esmaeilzadeh Kamyar Azizzadenesheli K. Kashinath Mustafa A. Mustafa H. Tchelepi P. Marcus P. Prabhat Anima Anandkumar AI4CE 187 141 0 01 May 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 336 75,888 0 18 May 2015