Evaluation of EOS-07/ millimetre-wave humidity sounder (MHS) retrieved specific humidity using in-situ and satellite observations

IF 4.5 Q2 ENVIRONMENTAL SCIENCES

Remote Sensing Applications-Society and Environment Pub Date : 2025-08-01 DOI:10.1016/j.rsase.2025.101718

V. Varaprasad, Ghouse Basha, M. Venkat Ratnam

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引用次数: 0

Abstract

To better understand precipitation patterns over the Indian region, ISRO launched the Earth Observation Satellite (EOS-07) carrying a millimetre-Wave Humidity Sounder (MHS) instrument on 10 February 2023. This MHS is designed to provide humidity data under all-weather conditions. This study evaluates the performance of EOS-07/MHS specific humidity (SH) retrievals over India using radiosonde data and Constellation Observation System for Meteorology, Ionosphere and Climate -2 (COSMIC-2) satellite observations. The EOS-07/MHS instrument offers improved spatial coverage over the Indian region compared to other satellite platforms. Strong agreement is observed with high-resolution radiosonde data from Gadanki, with correlation coefficients exceeding 0.5 and relative percentage differences (RPD) consistently below 20 % across all pressure levels. Similar agreement is found with India Meteorological Department (IMD) radiosonde observations across diverse regions of India. EOS-07/MHS SH retrievals also exhibit good agreement with COSMIC-2 SH data, except in the upper troposphere, with enhanced consistency observed over oceanic regions within the boundary layer. The diurnal variation suggests that EOS-07/MHS retrievals align more closely with COSMIC-2 SH during the daytime than at night. These findings establish EOS-07/MHS as a valuable tool for monitoring atmospheric moisture variability over the Indian region and for supporting a wide range of meteorological and climatological applications.

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利用原位和卫星观测对EOS-07/毫米波湿度测深仪（MHS）反演比湿度的评价

为了更好地了解印度地区的降水模式，ISRO于2023年2月10日发射了携带毫米波湿度测深仪（MHS）的地球观测卫星（EOS-07）。该MHS旨在提供全天候条件下的湿度数据。本研究利用无线电探空数据和COSMIC-2星座气象、电离层和气候观测系统（Constellation Observation System for Meteorology, Ionosphere and Climate -2）卫星观测，评估了EOS-07/MHS在印度的比湿度（SH）反演性能。与其他卫星平台相比，EOS-07/MHS仪器在印度地区提供了更好的空间覆盖。Gadanki的高分辨率无线电探空数据显示，相关系数超过0.5，相对百分比差异（RPD）在所有压力水平下均低于20%。印度气象部门（IMD）在印度不同地区的无线电探空观测也发现了类似的一致意见。除对流层上层外，EOS-07/MHS的SH反演结果也与COSMIC-2的SH数据吻合良好，在边界层内的海洋区域观测到的一致性增强。日变化表明，EOS-07/MHS在白天比在夜间更接近COSMIC-2 SH。这些发现表明，EOS-07/MHS是监测印度地区大气湿度变化和支持广泛的气象和气候学应用的宝贵工具。

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来源期刊

Remote Sensing Applications-Society and Environment Multiple-

CiteScore

8.00

自引率

8.50%

发文量

204

审稿时长

65 days

期刊介绍： The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems