Evaluation of SPI and Rainfall Departure Based on Multi-Satellite Precipitation Products for Meteorological Drought Monitoring in Tamil Nadu

The prevalence of the frequent water stress conditions at present was found to be more frequent due to increased weather anomalies and climate change scenarios, among other reasons. Periodic drought assessment and subsequent management are essential in effectively utilizing and managing water resour...

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Main Authors: Sellaperumal Pazhanivelan, Vellingiri Geethalakshmi, Venkadesh Samykannu, Ramalingam Kumaraperumal, Mrunalini Kancheti, Ragunath Kaliaperumal, Marimuthu Raju, Manoj Kumar Yadav
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/15/7/1435
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author Sellaperumal Pazhanivelan
Vellingiri Geethalakshmi
Venkadesh Samykannu
Ramalingam Kumaraperumal
Mrunalini Kancheti
Ragunath Kaliaperumal
Marimuthu Raju
Manoj Kumar Yadav
author_facet Sellaperumal Pazhanivelan
Vellingiri Geethalakshmi
Venkadesh Samykannu
Ramalingam Kumaraperumal
Mrunalini Kancheti
Ragunath Kaliaperumal
Marimuthu Raju
Manoj Kumar Yadav
author_sort Sellaperumal Pazhanivelan
collection DOAJ
description The prevalence of the frequent water stress conditions at present was found to be more frequent due to increased weather anomalies and climate change scenarios, among other reasons. Periodic drought assessment and subsequent management are essential in effectively utilizing and managing water resources. For effective drought monitoring/assessment, satellite-based precipitation products offer more reliable rainfall estimates with higher accuracy and spatial coverage than conventional rain gauge data. The present study on satellite-based drought monitoring and reliability evaluation was conducted using four high-resolution precipitation products, i.e., IMERGH, TRMM, CHIRPS, and PERSIANN, during the northeast monsoon season of 2015, 2016, and 2017 in the state of Tamil Nadu, India. These four precipitation products were evaluated for accuracy and confidence level by assessing the meteorological drought using standard precipitation index (SPI) and by comparing the results with automatic weather station (AWS) and rain gauge network data-derived SPI. Furthermore, considering the limited number of precipitation products available, the study also indirectly addressed the demanding need for high-resolution precipitation products with consistent temporal resolution. Among different products, IMERGH and TRMM rainfall estimates were found equipollent with the minimum range predictions, i.e., 149.8, 32.07, 80.05 mm and 144.31, 34.40, 75.01 mm, respectively, during NEM of 2015, 2016, and 2017. The rainfall data from CHIRPS were commensurable in the maximum range of 1564, 421, and 723 mm in these three consequent years (2015 to 2017) compared to AWS data. CHIRPS data recorded a higher per cent of agreement (>85%) compared to AWS data than other precipitation products in all the agro-climatic zones of Tamil Nadu. The SPI values were positive > 1.0 during 2015 and negative < −0.99 for 2016 and 2017, indicating normal/wet and dry conditions in the study area, respectively. This study highlighted discrepancies in the capability of the precipitation products IMERGH and TRMM estimates for low rainfall conditions and CHIRPS estimates in high rainfall regimes.
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spelling doaj.art-0cfa476898ba425194f9ea46f2b68fb22023-11-17T17:50:47ZengMDPI AGWater2073-44412023-04-01157143510.3390/w15071435Evaluation of SPI and Rainfall Departure Based on Multi-Satellite Precipitation Products for Meteorological Drought Monitoring in Tamil NaduSellaperumal Pazhanivelan0Vellingiri Geethalakshmi1Venkadesh Samykannu2Ramalingam Kumaraperumal3Mrunalini Kancheti4Ragunath Kaliaperumal5Marimuthu Raju6Manoj Kumar Yadav7Water Technology Centre, Tamil Nadu Agricultural University, Coimbatore 641003, IndiaWater Technology Centre, Tamil Nadu Agricultural University, Coimbatore 641003, IndiaAgro-Climatic Research Centre, Tamil Nadu Agricultural University, Coimbatore 641003, IndiaDepartment of Remote Sensing and GIS, Tamil Nadu Agricultural University, Coimbatore 641003, IndiaIndian Council of Agricultural Research-Indian Institute of Pulses Research, Kanpur 208024, IndiaWater Technology Centre, Tamil Nadu Agricultural University, Coimbatore 641003, IndiaWater Technology Centre, Tamil Nadu Agricultural University, Coimbatore 641003, IndiaDeutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, New Delhi 110029, IndiaThe prevalence of the frequent water stress conditions at present was found to be more frequent due to increased weather anomalies and climate change scenarios, among other reasons. Periodic drought assessment and subsequent management are essential in effectively utilizing and managing water resources. For effective drought monitoring/assessment, satellite-based precipitation products offer more reliable rainfall estimates with higher accuracy and spatial coverage than conventional rain gauge data. The present study on satellite-based drought monitoring and reliability evaluation was conducted using four high-resolution precipitation products, i.e., IMERGH, TRMM, CHIRPS, and PERSIANN, during the northeast monsoon season of 2015, 2016, and 2017 in the state of Tamil Nadu, India. These four precipitation products were evaluated for accuracy and confidence level by assessing the meteorological drought using standard precipitation index (SPI) and by comparing the results with automatic weather station (AWS) and rain gauge network data-derived SPI. Furthermore, considering the limited number of precipitation products available, the study also indirectly addressed the demanding need for high-resolution precipitation products with consistent temporal resolution. Among different products, IMERGH and TRMM rainfall estimates were found equipollent with the minimum range predictions, i.e., 149.8, 32.07, 80.05 mm and 144.31, 34.40, 75.01 mm, respectively, during NEM of 2015, 2016, and 2017. The rainfall data from CHIRPS were commensurable in the maximum range of 1564, 421, and 723 mm in these three consequent years (2015 to 2017) compared to AWS data. CHIRPS data recorded a higher per cent of agreement (>85%) compared to AWS data than other precipitation products in all the agro-climatic zones of Tamil Nadu. The SPI values were positive > 1.0 during 2015 and negative < −0.99 for 2016 and 2017, indicating normal/wet and dry conditions in the study area, respectively. This study highlighted discrepancies in the capability of the precipitation products IMERGH and TRMM estimates for low rainfall conditions and CHIRPS estimates in high rainfall regimes.https://www.mdpi.com/2073-4441/15/7/1435droughtprecipitation productsrainfall estimatesstandard precipitation index
spellingShingle Sellaperumal Pazhanivelan
Vellingiri Geethalakshmi
Venkadesh Samykannu
Ramalingam Kumaraperumal
Mrunalini Kancheti
Ragunath Kaliaperumal
Marimuthu Raju
Manoj Kumar Yadav
Evaluation of SPI and Rainfall Departure Based on Multi-Satellite Precipitation Products for Meteorological Drought Monitoring in Tamil Nadu
Water
drought
precipitation products
rainfall estimates
standard precipitation index
title Evaluation of SPI and Rainfall Departure Based on Multi-Satellite Precipitation Products for Meteorological Drought Monitoring in Tamil Nadu
title_full Evaluation of SPI and Rainfall Departure Based on Multi-Satellite Precipitation Products for Meteorological Drought Monitoring in Tamil Nadu
title_fullStr Evaluation of SPI and Rainfall Departure Based on Multi-Satellite Precipitation Products for Meteorological Drought Monitoring in Tamil Nadu
title_full_unstemmed Evaluation of SPI and Rainfall Departure Based on Multi-Satellite Precipitation Products for Meteorological Drought Monitoring in Tamil Nadu
title_short Evaluation of SPI and Rainfall Departure Based on Multi-Satellite Precipitation Products for Meteorological Drought Monitoring in Tamil Nadu
title_sort evaluation of spi and rainfall departure based on multi satellite precipitation products for meteorological drought monitoring in tamil nadu
topic drought
precipitation products
rainfall estimates
standard precipitation index
url https://www.mdpi.com/2073-4441/15/7/1435
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