Abstract

Long-term Study of Satellite Water Vapor Along with Meteorological Measurements at Synoptic Stations

Highlights

  • Climate change has significant positive and negative effects on the ecosystem due to the climate-environment interactions

  • The Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on the Aqua and Terra satellites is an efficient sensor in the production of remote sensing products such as water vapor, the data of which have recently been used in several studies

  • This study investigates the changes in water vapor behavior by measuring the MODIS sensor at Tehran, Mashhad and Isfahan stations over a long period of the years (2000-2018) due to the importance of the water vapor parameter and its close relationship with quantities such as precipitation and global warming

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Summary

Introduction

Climate change has significant positive and negative effects on the ecosystem due to the climate-environment interactions. While simultaneously examining large areas using sequential images, makes it possible to provide a temporal and spatial framework for studying the behavior of environmental phenomena, including climate changes Parameters such as temperature, precipitation and water vapor are measured at the Earth's surface using remote sensing data, and these factors as the most important and influential climatic factors of climate change have been monitored for a long time by examining temporal and spatial changes[6, 7]. Remote sensing data has advantages such as convenient spatial and temporal resolution, MODIS data, but in each region it is better to be statistically evaluated before use to determine the accuracy of the data For this purpose, the time series of MODIS water vapor products can be compared in the near-infrared band with the corresponding radiosonde time series in a long period, and the accuracy of these products in this period compared to radiosonde observations will be estimated as a reliable method. Three goals have been pursued in this study: 2. The accuracy of MODIS's long-term water vapor time series compared to radiosonde

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