评估印度上空大气可降水汽的分布和趋势

IF 2.8 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Chander Singh Tomar, Rajeev Bhatla, Nand Lal Singh, Vivek Kumar, Pradeep Kumar Rai, Vijay Kumar Soni, Ram Kumar Giri
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引用次数: 0

摘要

综合可降水水汽(IPWV)对大气过程、气候系统和水文循环具有重大影响。水汽在大气中的分布具有时空变异性,赤道地区的水汽百分比较高。评估空气中水汽数量的仪器和方法多种多样。全球导航卫星系统(GNSS)和无线电探空仪技术已被广泛用于估算大气中的 IPWV。欧洲中期天气预报中心再分析(ERA-5)是最新的再分析 IPWV 数据集。本研究旨在评估 ERA-5 推算的 IPWV 与 GNSS 推算的 IPWV 的一致性,并研究印度地区 IPWV 的时空变化。印度气象局(IMD)全球导航卫星系统大气水汽观测网 16 个监测站的 IPWV 数据与 ERA-5 数据进行了比较。全球导航卫星系统和ERA-5的IPWV数据非常一致,相关系数在0.97到1.00之间,均方根误差(RMSE)值在1.5毫米到5.6毫米之间。IPWV 值呈现出明显的季节性变化,最低值出现在冬季,最高值出现在 6 月至 9 月,与印度温暖湿润的季风季节一致。ERA5使用1981年至2020年的数据来研究印度地区的变化和趋势。降雨量和 IPWV 之间存在很强的正相关性。结果表明,除冬季外,印度陆地、印度洋、阿拉伯海和孟加拉湾所有季节的 IPWV 都呈湿润趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluation of atmospheric precipitable water vapour distribution and trend over India

Evaluation of atmospheric precipitable water vapour distribution and trend over India

Integrated Precipitable Water Vapor (IPWV) wields significant influence over atmospheric processes, the climate system, and the hydrological cycle. Spatial and temporal variability characterizes water vapor distribution in the atmosphere, with equatorial regions registering elevated water vapor percentages. There are various types of instruments and methods to assess the quantity of moisture in the air. Global Navigation Satellite System (GNSS) and radiosonde techniques have been widely used to estimate IPWV in the atmosphere. European Centre for Medium-Range Weather Forecasts Re-Analysis (ERA-5) is the latest reanalysis IPWV dataset. This study aims to assess the congruence of ERA-5-derived IPWV with GNSS-derived IPWV and study the spatial and temporal variability of IPWV over Indian region. The IPWV data from 16 monitoring stations of GNSS Atmosphere Water Vapor Watch Network of the India Meteorological Department (IMD) have been compared with ERA-5 data. The IPWV data from GNSS and ERA-5 are in excellent agreement as corroborated by correlation coefficients spanning 0.97 to 1.00 and the Root Mean Square Error (RMSE) values varying between 1.5 mm and 5.6 mm. IPWV values exhibit prominent seasonal variations, with minimum values during the winter months and peak appears between June and September, aligning with warm and moist monsoon season of India. The ERA5 data from 1981 to 2020 were used to study variability and trend over Indian region. Strong positive correlations are observed between rainfall and IPWV. The results indicated IPWV trends are moistening especially over Indian landmass, the Indian Ocean, Arabian Sea and Bay of Bengal during all the seasons except winter.

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来源期刊
Theoretical and Applied Climatology
Theoretical and Applied Climatology 地学-气象与大气科学
CiteScore
6.00
自引率
11.80%
发文量
376
审稿时长
4.3 months
期刊介绍: Theoretical and Applied Climatology covers the following topics: - climate modeling, climatic changes and climate forecasting, micro- to mesoclimate, applied meteorology as in agro- and forestmeteorology, biometeorology, building meteorology and atmospheric radiation problems as they relate to the biosphere - effects of anthropogenic and natural aerosols or gaseous trace constituents - hardware and software elements of meteorological measurements, including techniques of remote sensing
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