Analysis of Monsoon Characteristics in China Based on Precipitable Water Vapor Derived From GNSS and ERA5 Over 2016–2020

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025615%3A_____%2F25%3AN0000011" target="_blank" >RIV/00025615:_____/25:N0000011 - isvavai.cz</a>

Výsledek na webu

<a href="https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2025JD044441" target="_blank" >https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2025JD044441</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1029/2025JD044441" target="_blank" >10.1029/2025JD044441</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of Monsoon Characteristics in China Based on Precipitable Water Vapor Derived From GNSS and ERA5 Over 2016–2020

Popis výsledku v původním jazyce

Climate over China is mainly governed by monsoons, which bring frequent and intense convective precipitations. Adequate knowledge of monsoon characteristics is necessary for understanding the development of extreme weather events. Given that the monsoon is usually associated with distinct variations in water vapor between dry and wet seasons and rapid dry-wet transitions, understanding the distribution and variability of water vapor can help characterize the monsoon. In this work, global navigation satellite system (GNSS) data from over 1,000 stations densely distributed in China were used to obtain zenith tropospheric delays (ZTDs). Combined with ERA5 meteorological data, precipitable water vapor (PWV) grid products were retrieved during the period 2016-2020 to characterize the Asian Summer Monsoon (ASM). To address the issue of data gaps in GNSS-derived PWV, we employed a random forest machine learning method using ERA5-derived PWV for data imputation ensuring the integrity of the products. We first utilized the bimodality of PWV statistical distribution and selected a suitable metric to quantify the monsoon impact across different regions. Subsequently, the normalized precipitable water indexes (NPWI) were constructed based on temporal variations in PWV to describe the monsoon movement characteristics. The average monsoon onset in China occurs from late May to mid-June (Day of year (DOY) 150-170), whereas the monsoon retreat takes place in September (DOY 252-274). The interannual variability of the monsoon onset and retreat times is similar with a variation of around 10 days. Generally, the monsoon advances from southeast to northwest over China with an uneven speed.

Název v anglickém jazyce

Analysis of Monsoon Characteristics in China Based on Precipitable Water Vapor Derived From GNSS and ERA5 Over 2016–2020

Popis výsledku anglicky

Climate over China is mainly governed by monsoons, which bring frequent and intense convective precipitations. Adequate knowledge of monsoon characteristics is necessary for understanding the development of extreme weather events. Given that the monsoon is usually associated with distinct variations in water vapor between dry and wet seasons and rapid dry-wet transitions, understanding the distribution and variability of water vapor can help characterize the monsoon. In this work, global navigation satellite system (GNSS) data from over 1,000 stations densely distributed in China were used to obtain zenith tropospheric delays (ZTDs). Combined with ERA5 meteorological data, precipitable water vapor (PWV) grid products were retrieved during the period 2016-2020 to characterize the Asian Summer Monsoon (ASM). To address the issue of data gaps in GNSS-derived PWV, we employed a random forest machine learning method using ERA5-derived PWV for data imputation ensuring the integrity of the products. We first utilized the bimodality of PWV statistical distribution and selected a suitable metric to quantify the monsoon impact across different regions. Subsequently, the normalized precipitable water indexes (NPWI) were constructed based on temporal variations in PWV to describe the monsoon movement characteristics. The average monsoon onset in China occurs from late May to mid-June (Day of year (DOY) 150-170), whereas the monsoon retreat takes place in September (DOY 252-274). The interannual variability of the monsoon onset and retreat times is similar with a variation of around 10 days. Generally, the monsoon advances from southeast to northwest over China with an uneven speed.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Geophysical Research: Atmospheres

ISSN

2169-897X

e-ISSN

2169-8996

Svazek periodika

130

Číslo periodika v rámci svazku

22

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

15

Strana od-do

—

Kód UT WoS článku

001617771600001

EID výsledku v databázi Scopus

2-s2.0-105022268499