# Improving prediction of two ENSO types using a multi-model ensemble based on stepwise pattern projection model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/improving-prediction-of-two-enso-types-using-a-multi-model-ensemble-based-on/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lin Wang,Hong‐Li Ren,Jieshun Zhu,Bohua Huang |
| Citations | 15 |
| DOI | 10.1007/s00382-020-05160-2 |
| Fields | Earth and Planetary Sciences,Environmental Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00382-020-05160-2.pdf |
| OpenAlex ID | https://openalex.org/W3006529507 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Lin Wang](https://scholariq.org/researchers/lin-wang/)

## Paper primary topic

- [Climate variability and models](https://scholariq.org/topics/climate-variability-and-models/)

## Paper topics

- [Climate variability and models](https://scholariq.org/topics/climate-variability-and-models/)
- [Oceanographic and Atmospheric Processes](https://scholariq.org/topics/oceanographic-and-atmospheric-processes/)
- [Meteorological Phenomena and Simulations](https://scholariq.org/topics/meteorological-phenomena-and-simulations/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.