#
Influence of the North Atlantic Oscillation on the Winter Season in Cuba^{ †}

^{1}

^{2}

^{*}

^{†}

## Abstract

**:**

## 1. Introduction

## 2. Materials and Methods

^{2}and the significance level p. An R greater than 50%, an adjusted R

^{2}greater than 30% and a significance level p = 90% were required.

## 3. Results

#### 3.1. Multiple Linear Regression Analysis. NAO—Number of Cold Fronts

^{2}= 0.30 and p = 95%.

#### 3.2. Multiple Linear Regression Analysis. Negative Phase of the NAO, Positive El Niño Index and Number of Cold Fronts

^{2}= 0.86 and p = 95%. In the equation, y represents the number of cold fronts to be determined per month, INAO is the monthly value of the NAO index and ONI is the value of the El Niño index. The values of the constants appear in the (Table 2).

#### 3.3. Multiple Linear Regression Analysis. Negative Phase of the NAO, Negative El Niño Index and Number of Cold Fronts

^{2}= 0.81 and p = 95%. The equation is the following, where y represents the number of cold fronts to be determined per month, INAO is the monthly value of the NAO index and ONI is the value of the El Niño index. The values of the constants appear in Table 3.

#### 3.4. Multiple Linear Regression Analysis. Negative Phase of the NAO, El Niño Index and Number of Moderate Cold Fronts

^{2}and p, appear in the following Table 4.

## 4. Discussion

## 5. Conclusions

## Conflicts of Interest

## References

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**Figure 1.**Comparison between the actual number of cold fronts and the estimated number of cold fronts.

**Figure 2.**Comparison between the actual number of cold fronts and the estimated number of cold fronts.

**Figure 3.**Comparison between the actual number of cold fronts and the estimated number of cold fronts.

**Figure 4.**Comparison between the actual amount of moderate cold fronts (MCF) and the amount of MCF estimated under the combined influence of the NAO (−) and ONI (+).

**Figure 5.**Comparison between the actual amount of moderate cold fronts (MCF) and the amount of MCF estimated under the combined influence of the NAO (−) and ONI (−).

a | 3.37 | k | −1.04 × 10^{3} |

b | 3.81 × 10^{−1} | l | −9.36 × 10^{2} |

c | −5.11 | m | 6.90 × 10^{2} |

d | −5.55 × 10^{1} | n | 4.78 × 10^{2} |

e | 7.44 × 10^{1} | o | −2.57 × 10^{2} |

f | 3.42 × 10^{2} | p | −1.50 × 10^{2} |

g | −3.91 × 10^{2} | q | 5.07 × 10^{1} |

h | −8.54 × 10^{2} | r | 2.66 × 10^{1} |

i | 8.91 × 10^{2} | s | −4.11 |

j | 1.15 × 10^{3} | t | −2.02 |

a | 3.10 × 10^{1} |

b | −2.11 × 10^{1} |

c | −9.98 × 10^{1} |

d | −2.75 × 10^{1} |

e | 1.07 × 10^{2} |

f | −8.89 |

g | −3.61 × 10^{1} |

a | 3.37 | f | −1.04 × 10^{3} |

b | 3.81 × 10^{−1} | g | −9.36 × 10^{2} |

c | −5.11 | h | 6.90 × 10^{2} |

d | −5.55 × 10^{1} | i | 4.78 × 10^{2} |

e | 7.44 × 10^{1} | j | −2.57 × 10^{2} |

ONI (+) | ONI (−) | |
---|---|---|

a | −2.18 × 10^{1} | 5.63 × 10^{1} |

b | 4.79 × 10^{1} | −2.07 × 10^{2} |

c | 1.27 × 10^{2} | 3.58 × 10^{2} |

d | 9.25 | 1.15 × 10^{2} |

e | −2.08 × 10^{2} | 6.58 × 10^{2} |

f | 3.53 | −3.86 × 10^{1} |

g | 1.01 × 10^{2} | 3.68 × 10^{2} |

h | −1.12 × 10^{2} | −6.46 × 10^{2} |

i | 4.15 | 2.21 × 10^{2} |

j | 7.11 × 10^{1} | −5.19 × 10^{2} |

Parameters | ||

R | 0.99 | 0.89 |

R^{2} | 0.98 | 0.79 |

p | 95% | 95% |

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**MDPI and ACS Style**

González, G.; Calzada, A.; Rodríguez, A.
Influence of the North Atlantic Oscillation on the Winter Season in Cuba. *Environ. Sci. Proc.* **2021**, *8*, 45.
https://doi.org/10.3390/ecas2021-10357

**AMA Style**

González G, Calzada A, Rodríguez A.
Influence of the North Atlantic Oscillation on the Winter Season in Cuba. *Environmental Sciences Proceedings*. 2021; 8(1):45.
https://doi.org/10.3390/ecas2021-10357

**Chicago/Turabian Style**

González, Graciela, Amílcar Calzada, and Alejandro Rodríguez.
2021. "Influence of the North Atlantic Oscillation on the Winter Season in Cuba" *Environmental Sciences Proceedings* 8, no. 1: 45.
https://doi.org/10.3390/ecas2021-10357