The effect of atmospheric rivers on cold-season heavy precipitation events in Iran

Esfandiari, Neda; Lashkari, H

doi:10.2166/wcc.2020.259

Cited by 14 publications

(10 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The agreement rate mentioned above for other regions gives us confidence that the results we investigate in our current study would not heavily change if another detection algorithm was to be developed or used. In that regard, it is noted that the Iran-focused study in Esfandiari and Lashkari (2020ab) [49,50] used AR IVT percentile and geometry criteria largely following our global algorithm used here. We direct readers to Guan and Waliser (2015) for more information on the AR detection algorithm used in our study.…”

Section: Ar Detection Algorithmmentioning

confidence: 99%

Atmospheric Rivers and Precipitation in the Middle East and North Africa (MENA)

Massoud

Guan

et al. 2020

Water

View full text Add to dashboard Cite

This study investigates the historical climatology and future projected change of atmospheric rivers (ARs) and precipitation for the Middle East and North Africa (MENA) region. We use a suite of models from the Coupled Model Intercomparison Project Phase 5 (CMIP5, historical and RCP8.5 scenarios) and other observations to estimate AR frequency and mean daily precipitation. Despite its arid-to-semi-arid climate, parts of the MENA region experience strong ARs, which contribute a large fraction of the annual precipitation, such as in the mountainous areas of Turkey and Iran. This study shows that by the end of this century, AR frequency is projected to increase (~20–40%) for the North Africa and Mediterranean areas (including any region with higher latitudes than 35 N). However, for these regions, mean daily precipitation (i.e., regardless of the presence of ARs) is projected to decrease (~15–30%). For the rest of the MENA region, including the Arabian Peninsula and the Horn of Africa, minor changes in AR frequency (±10%) are expected, yet mean precipitation is projected to increase (~50%) for these regions. Overall, the projected sign of change in AR frequency is opposite to the projected sign of change in mean daily precipitation for most areas within the MENA region.

show abstract

Section: Ar Detection Algorithmmentioning

confidence: 99%

Atmospheric Rivers and Precipitation in the Middle East and North Africa (MENA)

Massoud

Guan

et al. 2020

Water

View full text Add to dashboard Cite

show abstract

“…ARs frequently produce heavy, impactful precipitation over where they are forced upward by orography (Ralph et al, 2004). While ARs and their impacts, which range from very beneficial to very detrimental, have traditionally been studied as a western U.S. phenomenon (Dettinger, 2011, 2013; Guan et al, 2010; Neiman et al, 2013; Ralph, Rutz, et al, 2019), it has become apparent that ARs affect many low‐, middle‐, and high‐latitude regions of the world (Dezfuli, 2020; Gorodetskaya et al, 2014; Ramos et al, 2015; Thapa et al, 2018; Viale et al, 2018; Wille et al, 2019; Yang et al, 2018; and Esfandiari & Lashkari, 2020; to name a few).…”

Section: Introductionmentioning

confidence: 99%

Examination of Global Midlatitude Atmospheric River Lifecycles Using an Object‐Oriented Methodology

et al. 2020

View full text Add to dashboard Cite

Tracking atmospheric rivers (ARs) across their lifecycles is a field of recent interest with a multitude of emerging methodologies. The CONNected-objECT (CONNECT) algorithm is adapted for the tracking of global midlatitude AR lifecycles and associated precipitation by implementing a seeded region growing segmentation algorithm, creating the AR-CONNECT algorithm. To facilitate the permissiveness of the methodology, AR-CONNECT is without hard-coded geometric criteria yet is still shown to extract synoptic-scale elongated objects >99.99% of the time. One of the consequences of the methodology is the ability to occasionally track atmospheric water vapor anomalies before evolving into AR geometries, effectively tracking AR genesis further back than other studies. With the aid of subdaily satellite-derived rain data, we investigate the climatology, trends, and patterns of AR lifecycles from 1983-2016 and compare with other AR tracking studies. We find that AR frequency, genesis, and terminus locations are in generally good agreement with other AR tracking methodologies, though with key differences, and that AR frequencies in each hemisphere are determined by the number of AR hotspots. Furthermore, we uncover evidence that certain AR characteristics, such as frequency, areal extent, and duration, show evidence of increasing trends. Midlatitude precipitation uncovered by AR-CONNECT shows contributions up to 50% over land and 65% over the ocean. Trend analysis of AR precipitation shows an increase in precipitation associated with ARs propagated by the Southern Jet Stream and ARs that traverse over the Sahara Desert, among others, but is determined not to be a driver of changes in global precipitation.

show abstract

“…They employed speci c humidity (q) to identify ARs and tracking. In the same study Esfandiari and Lashkari (2021), show that on average, 11 heavy precipitation days were linked to the presence of ARs in the six cold months of each year in Iran that December experienced the highest frequency of ARs linked to heavy precipitation during the statistical period. They showed that more than half of the ARs originated from the Gulf of Aden and the Red Sea.…”

Section: Introductionmentioning

confidence: 77%

“…Especially in semi-arid and arid regions, local water vapor cannot cause heavy rainfall, thus moisture transported into this regions (Barati and Heydari, 2003;Heydarizad et al, 2018;MOHAMMADI and MASOUDIAN, 2010). Recent studies use Atmospheric river (AR) term to refer to moisture transport over Iran (Akbary et al, 2019;Esfandiari and Lashkari, 2021).…”

Section: Introductionmentioning

confidence: 99%

Extreme rainfall in south and south west of Iran and its association with Atmospheric Rivers (ARs)

Kamal

Sepandar

Khosravi

2022

Preprint

View full text Add to dashboard Cite

Atmospheric rivers (ARs) are long narrow band of high water vapor flux that closely related to heavy rainfall. Flooding from heavy rainfall is one of the major hazards in south and south west of Iran. In this paper, the connection between ARs and heavy rainfall is analyzed by a methodology based on the vertically integrated water vapor transport (IVT). Heavy rainfall days are identified from the Iran Meteorological Organization (IRIMO) from 1987 to 2019. Our results suggest that, all inclusive heavy rainfall events over the south and southwest of Iran are associated with the contributions by the ARs and they matches tend to peak in the cool season. Larger IVT value in the region related to more precipitation and play important role in determining the amount of it. The IVT value intense when the AR crossed over the region. According to the results, there were four major sources of ARs that effected on south and south west of Iran generally include Gulf of Aden, the Red Sea, Arabian Sea and Soudan. The Red Sea is the most important source of moisture those intense ARs on their path in this region.

show abstract

The effect of atmospheric rivers on cold-season heavy precipitation events in Iran

Cited by 14 publications

References 60 publications

Atmospheric Rivers and Precipitation in the Middle East and North Africa (MENA)

Atmospheric Rivers and Precipitation in the Middle East and North Africa (MENA)

Examination of Global Midlatitude Atmospheric River Lifecycles Using an Object‐Oriented Methodology

Extreme rainfall in south and south west of Iran and its association with Atmospheric Rivers (ARs)

Contact Info

Product

Resources

About