You are currently viewing a new version of our website. To view the old version click .

Atmosphere, Volume 11, Issue 3

March 2020 - 92 articles

Cover Story: One of the most crucial applications of radar-based precipitation nowcasting systems is the short-term forecast of extreme rainfall. A novel method to improve deep learning prediction skills of extreme rainfall regimes is presented based on model stacking. A convolutional neural network is trained to combine an ensemble of deep learning models along with orographic features, doubling the prediction skills with respect to the ensemble members and their average on extreme rain rates, and outperforming them on all rain regimes. The ensemble is built by training four models with the same architecture over different rainfall thresholds. This combination can reach the same skill of Lagrangian persistence on extreme rain rates while retaining a superior performance on lower rain regimes. View this paper.
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (92)

  • Article
  • Open Access
5 Citations
3,430 Views
12 Pages

24 March 2020

Biomass combustion is known to be one of the main contributors to air pollution. However, the influence of biomass burning on the distribution of viable bacterial and fungal aerosols is uncertain. This study aimed to examine survivability of bacteria...

  • Article
  • Open Access
21 Citations
4,471 Views
16 Pages

23 March 2020

Improvement of fog simulation accuracy was investigated for the fogs that occurred on the south coast of the Korean Peninsula using the WRF (3D) and PAFOG (1D) coupled model. In total, 22 fog cases were simulated and accuracy of the fog simulation wa...

  • Article
  • Open Access
1 Citations
4,348 Views
19 Pages

23 March 2020

The mass composition of Particulate Matter (PM) with an aerodynamic diameter of 2.5 microns (PM2.5) in San Joaquin Valley (SJV) is dominated by ammonium nitrate (NH4NO3), a secondary pollutant. The goal of this research was the investigation of the r...

  • Article
  • Open Access
29 Citations
8,912 Views
16 Pages

22 March 2020

West African Summer Monsoon (WASM) rainfall exhibits large variability at interannual and decadal timescales, causing droughts and floods in many years. Therefore it is important to investigate the major tropospheric features controlling the WASM rai...

  • Article
  • Open Access
3 Citations
3,671 Views
13 Pages

22 March 2020

This study focuses on the temporal variation in the compositional characteristics of atmospheric aerosols in Seoul, South Korea, during the consecutive high aerosol concentration episode from 30 December 2013 to 2 January 2014. The temporal variation...

  • Article
  • Open Access
19 Citations
7,421 Views
13 Pages

Wave-Tracking in the Surf Zone Using Coastal Video Imagery with Deep Neural Networks

  • Jinah Kim,
  • Jaeil Kim,
  • Taekyung Kim,
  • Dong Huh and
  • Sofia Caires

21 March 2020

In this paper, we propose a series of procedures for coastal wave-tracking using coastal video imagery with deep neural networks. It consists of three stages: video enhancement, hydrodynamic scene separation and wave-tracking. First, a generative adv...

  • Article
  • Open Access
23 Citations
4,452 Views
13 Pages

21 March 2020

Pollution caused by ship emissions has drawn attention from various countries. Because of the high density of ships in ports, channels, and anchorages and their proximity to the densely populated areas, ship emissions will considerably impact these a...

  • Article
  • Open Access
48 Citations
7,831 Views
28 Pages

Spatiotemporal Trends of Aerosols over Urban Regions in Pakistan and Their Possible Links to Meteorological Parameters

  • Gohar Ali,
  • Yansong Bao,
  • Waheed Ullah,
  • Safi Ullah,
  • Qin Guan,
  • Xulin Liu,
  • Lin Li,
  • Yuhong Lei,
  • Guangwen Li and
  • Jun Ma

21 March 2020

Aerosol optical depth (AOD) has become one of the most crucial parameters for climate change assessment on regional and global scales. The present study investigates trends in AOD using long-term data derived from moderate resolution imaging spectro-...

  • Article
  • Open Access
100 Citations
11,791 Views
20 Pages

Evaluation of Meteorological Drought and Flood Scenarios over Kenya, East Africa

  • Brian Ayugi,
  • Guirong Tan,
  • Rouyun Niu,
  • Zeyao Dong,
  • Moses Ojara,
  • Lucia Mumo,
  • Hassen Babaousmail and
  • Victor Ongoma

21 March 2020

This work examines drought and flood events over Kenya from 1981 to 2016 using the Standardized Precipitation–Evapotranspiration Index (SPEI). The spatiotemporal analysis of dry and wet events was conducted for 3 and 12 months. Extreme drought...

  • Article
  • Open Access
36 Citations
7,300 Views
16 Pages

Global Dimming and Brightening Features during the First Decade of the 21st Century

  • Nikolaos Hatzianastassiou,
  • Eleftherios Ioannidis,
  • Marios-Bruno Korras-Carraca,
  • Maria Gavrouzou,
  • Christos D. Papadimas,
  • Christos Matsoukas,
  • Nikolaos Benas,
  • Angeliki Fotiadi,
  • Martin Wild and
  • Ilias Vardavas

21 March 2020

Downward surface solar radiation (SSR) trends for the first decade of the 2000s were computed using a radiative transfer model and satellite and reanalysis input data and were validated against measurements from the reference global station networks...

of 10

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Atmosphere - ISSN 2073-4433