首页/数据集/A hybrid statistical-dynamical framework for meteorological drought...

A hybrid statistical-dynamical framework for meteorological drought...

DASH Search2026-03-14 收录

数据链接：

https://data.ucar.edu/dataset/a-hybrid-statistical-dynamical-framework-for-meteorological-drought-prediction-application-to-t 数据链接链接失效反馈

官方服务：

资源简介：

Improving water management in water stressed-regions requires reliable seasonal precipitation predication, which remains a grand challenge. Numerous statistical and dynamical...

应用场景：

气象干旱预测

季节性降水预报

Improving water management in water stressed-regions requires reliable seasonal precipitation predication, which remains a grand challenge. Numerous statistical and dynamical...

University Corporation for Atmospheric Research70

Reinterpreting ENSO's Role in Modulating Impactful Precipitation Events in California Geophysical Research Letters

ENSO气候影响

季节性降水预测

Water years (WY) 2017 and 2023 were anomalously wet for California, each alleviating multiyear drought. In both cases, this was unexpected given La Niña conditions, with most seasonal forecasts favori

NOAA Institutional Repository2025-04-17 更新50

Supplementary material for: Lala, J., Tilahun, S., and Block, P. (2020). Predicting rainy season onset in the Ethiopian Highlands for agricultural planning. Journal of Hydrometeorology.

农业气象预测

季节性降水预测

Supplementary material for: Lala, J., Tilahun, S., and Block, P. (2020). Predicting rainy season onset in the Ethiopian Highlands for agricultural planning. Journal of Hydrometeorology. This includes

NIAID Data Ecosystem30

The Full Extent of El Niño’s Precipitation Influence on the United States and the Americas: The Sub-Optimality of the Niño 3.4 SST Index

ElNiño气候影响

季节性降水预测

Key features of El Niño’s influence on North American winter precipitation are well-known but we show that this influence has, hitherto, been sub-optimally characterized in winter, and especially in f

DataCite Commons2023-09-15 更新50

Data_Sheet_1_Seasonal prediction of Horn of Africa long rains using machine learning: The pitfalls of preselecting correlated predictors.pdf

季节性降水预测

气候机器学习

The Horn of Africa is highly vulnerable to droughts and floods, and reliable long-term forecasting is a key part of building resilience. However, the prediction of the “long rains” season (March–May)

NIAID Data Ecosystem30

A hybrid statistical-dynamical framework for meteorological drought...

资源简介：

相关数据集