Effects of Atmosphere and Ocean on Tropical Precipitation

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".

Deadline for manuscript submissions: closed (15 December 2021) | Viewed by 8614

Special Issue Editors

Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
Interests: atmospheric dynamics; air–sea interaction; climate change and projection

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Guest Editor
Department Physical and Chemical Sciences, Università degli Studi dell'Aquila/CETEMPS, Via Vetoio, 67100 Coppito (AQ), Italy
Interests: atmosphere dynamics; air–sea interaction; high precipitation events; numerical modeling
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Guest Editor
School of Earth, Atmosphere & Environment, Monash University, Melbourne 3800, Australia
Interests: climate dynamics, regional and global modelling; modes of variability
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Special Issue Information

Dear Colleagues,

Precipitation is one of the most important aspects of the climate; it largely determines the occurrence of floods and droughts and is also a major energy source for atmospheric circulation. In particular, tropical precipitation has received much attention as a substantial component of the hydrological cycle and a key influencer of global weather and climate patterns.

Decades have passed since satellites first identified the effects of sea surface temperature and atmospheric circulation on tropical precipitation. While precipitation is sensitive to variations in both the amplitude and the spatial structure of sea surface temperature, a substantial portion of tropical precipitation variation is generated from atmospheric dynamics alone. On the other hand, variations in precipitation can in turn affect the ocean via cloud radiation, as well as the atmospheric circulation via latent heating. The coupled nature of tropical precipitation makes it one of the most fascinating subjects of climate dynamics.

While advancements in modeling and observation have vastly improved our understanding of tropical precipitation, there remain several fundamental challenges. Under the modeling point of view, many difficulties remain in estimating and simulating rainfall, especially in the tropical area, such as difficulties in assimilating synoptic rain data, to highly selective parameterization schemes for convection and microphysics, up to the correct description of the entire water cycle, there are many open problems for both local and synoptic scale applications, and from a short to a long term approach.

At seasonal timescales, the timing and the evolution of major monsoon systems, such as the Indian, the Australian, and the west African monsoon, as well as the seasonality of the Intertropical Convergence Zone, remain areas of intense research and development. While it is clear that tropical modes of climate variability such as the El Niño–Southern Oscillation and the Indian Ocean Dipole exert a strong influence on both monsoon systems and the Intertropical Convergence Zone, our knowledge is often confined to good statistical characterizations rather than a true process-based understanding. At inter-annual timescales, these tropical modes are able to explain only a modest fraction of the variance associated with tropical precipitation variability, and new theories and understanding are needed to minimize this large portion of unexplained variability. At the centennial and longer timescales, tropical precipitation constitutes the most uncertain aspects of future precipitation projections. It has long been recognized that much of the uncertainty in future tropical precipitation changes is rooted in its coupling with changes in the underlying sea surface temperature, but reducing such uncertainty has remained a challenge.

The goal of this Special Issue is to improve the understanding and prediction of tropical precipitation at all timescales and at a wide range of geographical scales, using an observational and numerical approach. We invite reports on both observational and modeling studies of the effect of ocean and atmosphere on tropical precipitation. Manuscripts may present the original research or review recent works, thereby providing context to the current research and the direction in which the field is moving.

Dr. ‪Jie He
Dr. Antonio Ricchi
Dr. Giovanni Liguori
Guest Editors

Manuscript Submission Information

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Keywords

  • air-sea interactions and ocean heat content role in tropical HPE events
  • precipitation variability and change
  • tropical meteorology
  • convective parameterization
  • numerical model applications using coupled and uncoupled approach
  • precipitation in tropical cyclones
  • ENSO impact on rainfall in tropical zone
  • precipitations in past, present and future scenarios

Published Papers (3 papers)

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Research

23 pages, 13967 KiB  
Article
Trend Pattern of Heavy and Intense Rainfall Events in Colombia from 1981–2018: A Trend-EOF Approach
by Wilmar L. Cerón, Rita V. Andreoli, Mary T. Kayano, Teresita Canchala, Camilo Ocampo-Marulanda, Alvaro Avila-Diaz and Jean Antunes
Atmosphere 2022, 13(2), 156; https://doi.org/10.3390/atmos13020156 - 19 Jan 2022
Cited by 11 | Viewed by 3080
Abstract
The Andes mountain range divides Colombia into various climatic regions over the country, as the Andean, Caribbean, Pacific, Amazon, and Orinoco regions. Given this scenario, knowing the current change in total precipitation and their extremes values are relevant. In this study, the main [...] Read more.
The Andes mountain range divides Colombia into various climatic regions over the country, as the Andean, Caribbean, Pacific, Amazon, and Orinoco regions. Given this scenario, knowing the current change in total precipitation and their extremes values are relevant. In this study, the main goal is to assess the spatio-temporal trends of heavy and intense rainfall at a seasonal scale during the last 38 years (1981–2018) using the trend empirical orthogonal function (TEOF). An increase in maximum precipitation during five consecutive days (RX5day), Simple daily intensity index (SDII), and the number of days with precipitation above 20 mm (R20mm) and 30 mm (R30mm) during December–February and March–May was observed in most of the Colombian territory, except for the Amazon region for RX5day. A decrease in total rainfall in June–August was observed in the Andean, the Caribbean, and southern Pacific regions, while, in the northern Pacific, it increased, consistent with the trend patterns of RX5day, SDII, and R20mm. During September–November, there was a reduction in rainfall in the Amazon region and the South Pacific, and an increase in RX5day, SDII, R20mm, and R30mm in the Andean, the Caribbean, and North Pacific regions. The TEOF showed more pronounced spatial trend patterns than those obtained with the traditional Mann–Kendall test. The findings offer a better understanding of the climate extremes impacts in tropical latitudes and help planners to implement measures against the future effects of climate change. Full article
(This article belongs to the Special Issue Effects of Atmosphere and Ocean on Tropical Precipitation)
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23 pages, 6768 KiB  
Article
WRF Sensitivity for Seasonal Climate Simulations of Precipitation Fields on the CORDEX South America Domain
by Helber Barros Gomes, Maria Cristina Lemos da Silva, Henrique de Melo Jorge Barbosa, Tércio Ambrizzi, Hakki Baltaci, Heliofábio Barros Gomes, Fabrício Daniel dos Santos Silva, Rafaela Lisboa Costa, Silvio Nilo Figueroa, Dirceu Luis Herdies and Theotonio Mendes Pauliquevis Júnior
Atmosphere 2022, 13(1), 107; https://doi.org/10.3390/atmos13010107 - 10 Jan 2022
Cited by 2 | Viewed by 2409
Abstract
Dynamic numerical models of the atmosphere are the main tools used for weather and climate forecasting as well as climate projections. Thus, this work evaluated the systematic errors and areas with large uncertainties in precipitation over the South American continent (SAC) based on [...] Read more.
Dynamic numerical models of the atmosphere are the main tools used for weather and climate forecasting as well as climate projections. Thus, this work evaluated the systematic errors and areas with large uncertainties in precipitation over the South American continent (SAC) based on regional climate simulations with the weather research and forecasting (WRF) model. Ten simulations using different convective, radiation, and microphysical schemes, and an ensemble mean among them, were performed with a resolution of 50 km, covering the CORDEX-South America domain. First, the seasonal precipitation variability and its differences were discussed. Then, its annual cycle was investigated through nine sub-domains on the SAC (AMZN, AMZS, NEBN, NEBS, SE, SURU, CHAC, PEQU, and TOTL). The Taylor Diagrams were used to assess the sensitivity of the model to different parameterizations and its ability to reproduce the simulated precipitation patterns. The results showed that the WRF simulations were better than the ERA-interim (ERAI) reanalysis when compared to the TRMM, showing the added value of dynamic downscaling. For all sub-domains the best result was obtained with the ensemble compared to the satellite TRMM. The largest errors were observed in the SURU and CHAC regions, and with the greatest dispersion of members during the rainy season. On the other hand, the best results were found in the AMZS, NEBS, and TOTL regions. Full article
(This article belongs to the Special Issue Effects of Atmosphere and Ocean on Tropical Precipitation)
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18 pages, 5149 KiB  
Article
Pacific and Atlantic Multidecadal Variability Relations with the Choco and Caribbean Low-Level Jets during the 1900–2015 Period
by Wilmar L. Cerón, Mary T. Kayano, Rita V. Andreoli, Alvaro Avila-Diaz, Itamara Parente de Souza and Rodrigo A. F. Souza
Atmosphere 2021, 12(9), 1120; https://doi.org/10.3390/atmos12091120 - 31 Aug 2021
Cited by 9 | Viewed by 2183
Abstract
This study analyzes the variability of the Choco jet (CJ) and Caribbean low-level jet (CLLJ) with consideration of the simultaneous Pacific interdecadal oscillation (PDO) and Atlantic multidecadal oscillation (AMO) low-frequency mean states and their effects on the atmospheric circulation and rainfall in northwestern [...] Read more.
This study analyzes the variability of the Choco jet (CJ) and Caribbean low-level jet (CLLJ) with consideration of the simultaneous Pacific interdecadal oscillation (PDO) and Atlantic multidecadal oscillation (AMO) low-frequency mean states and their effects on the atmospheric circulation and rainfall in northwestern South America and Central America for the 1900–2015 period, during the seasons with the highest intensities of the CJ (September–November (SON)) and the CLLJ (June–August). Variations in the sea surface temperature (SST) anomaly positioning in the eastern Pacific, tropical North Atlantic (TNA)/Caribbean Sea during different mean states restrict the anomalous circulation, and, consequently, the intensity of the CJ and CLLJ. During the warm AMO (WAMO)/cold PDO (CPDO), the SST gradient from the tropical Pacific into the TNA, accompanied by a cyclonic circulation near the east coast of the Americas, intensifies the west–east circulation in the region, strengthening the CJ and weakening the CLLJ during SON such that rainfall increases over Colombia, Central America and in adjacent oceans. During the cold AMO (CAMO)/warm PDO (WPDO) phase, a relative east/west SST gradient occurs in TNA, consistent with a cyclonic circulation in western TNA, establishing an anomalous southwest–northwestward circulation from the eastern Pacific into the Caribbean basin, forming a well-configured CJ, increasing precipitation over Central America and its adjacent oceans. For the CLLJ, during CAMO phases, the anticyclonic circulations extended over most of the TNA favor its intensification from 30° W to the Caribbean Sea. In contrast, during WAMO, the cyclonic circulation near the east coast of the United States restricts its intensification to the Caribbean Sea region. To the best of our knowledge, the results presented here are new and might be useful in atmospheric modeling and extreme event studies. Full article
(This article belongs to the Special Issue Effects of Atmosphere and Ocean on Tropical Precipitation)
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