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Meteorology, Volume 2, Issue 4

2023 December - 6 articles

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Articles (6)

  • Article
  • Open Access
1 Citations
2,644 Views
17 Pages

Comparison Link Function from Summer Rainfall Network in Amazon Basin

  • C. Arturo Sánchez P.,
  • Alan J. P. Calheiros,
  • Sâmia R. Garcia and
  • Elbert E. N. Macau

13 December 2023

The Amazon Basin is the largest rainforest in the world, and studying the rainfall in this region is crucial for understanding the functioning of the entire rainforest ecosystem and its role in regulating the regional and global climate. This work is...

  • Article
  • Open Access
3 Citations
2,443 Views
21 Pages

7 December 2023

Beyond their deterministic predictability limits of ≈10 days and 6 months, the atmosphere and ocean become effectively stochastic. This has led to the development of stochastic models specifically for this macroweather regime. A particularly pr...

  • Article
  • Open Access
8 Citations
6,012 Views
20 Pages

The Relationships between Adverse Weather, Traffic Mobility, and Driver Behavior

  • Ayman Elyoussoufi,
  • Curtis L. Walker,
  • Alan W. Black and
  • Gregory J. DeGirolamo

19 November 2023

Adverse weather conditions impact mobility, safety, and the behavior of drivers on roads. In an average year, approximately 21% of U.S. highway crashes are weather-related. Collectively, these crashes result in over 5300 fatalities each year. As a pr...

  • Article
  • Open Access
2 Citations
2,123 Views
25 Pages

11 November 2023

Liquid water path (LWP) is one of the most important cloud parameters and is crucial for global and regional climate modelling, weather forecasting, and modelling of the hydrological cycle and interactions between different components of the climate...

  • Review
  • Open Access
5 Citations
2,262 Views
19 Pages

14 October 2023

Four observational results: the intermittency of air temperature; its correlation with ozone photodissociation rate; the diurnal variation of ozone in the upper stratosphere; and the cold bias of meteorological analyses compared to observations, are...

  • Article
  • Open Access
7 Citations
5,646 Views
24 Pages

26 September 2023

Estimating precipitation is of critical importance to climate systems and decision-making processes. This paper presents Espresso, a deep learning model designed for estimating precipitation from satellite observations on a global scale. Conventional...

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Meteorology - ISSN 2674-0494