JAG Bias Corrected SPP

NIAID Data Ecosystem2026-03-14 收录

卫星降水

气象深度学习

数据链接：

https://zenodo.org/record/7152012 数据链接链接失效反馈

官方服务：

资源简介：

This dataset belongs to the paper: Comparison of Bias-Corrected MultiSatellite Precipitation Products by Deep Learning Framework Daily dataset from 01/01/2016 to 12/2019

创建时间：

2022-10-06

SeaIceWeather

海冰图像分析

气象深度学习

SeaIceWeather Dataset This is the SeaIceWeather dataset, collected for training and evaluation of deep learning based de-weathering models. This dataset is linked to our paper titled: Deep Learni

DataCite Commons2024-04-12 更新220

Diagnosing storm mode with deep learning in convection-allowing models

对流风暴模式识别

气象深度学习

While convective storm mode is explicitly depicted in convection-allowing model (CAM) output, subjectively diagnosing mode in large volumes of CAM forecasts can be burdensome....

Virginia Open Data40

fdata-03-00001-g0001_Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data.tif

热带气旋轨迹预测

气象深度学习

The forecast of tropical cyclone trajectories is crucial for the protection of people and property. Although forecast dynamical models can provide high-precision short-term forecasts, they are computa

NIAID Data Ecosystem30

Temperature and rainfall datasets for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting"

时空天气预测

气象深度学习

This page includes spatiotemporal datasets used in the paper STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting. ARIMA and deep learning models use datasets

NIAID Data Ecosystem100

Downscaled TRMM satellite precipitation data from 2001 to 2019 in the Sichuan Province, China

卫星降水

区域降水分析

Spatial downscaling is an effective way to improve the spatial resolution of precipitation products. However, the existing methods often fail to adequately consider the spatial heterogeneity and compl

Figshare2024-05-25 更新30

JAG Bias Corrected SPP

资源简介：

相关数据集