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Exploring Climate Change Impacts Fro...

Das, Puja,

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Exploring Climate Change Impacts From Hydrology to Hydrometeorology: Towards Climate Adaptation Strategies /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Exploring Climate Change Impacts From Hydrology to Hydrometeorology: Towards Climate Adaptation Strategies // Puja Das.
Author:	Das, Puja,
Description:	1 electronic resource (132 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
Contained By:	Dissertations Abstracts International86-11B.
Subject:	Climate change. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31840221
ISBN:	9798314842454

Exploring Climate Change Impacts From Hydrology to Hydrometeorology: Towards Climate Adaptation Strategies /
Das, Puja,

Exploring Climate Change Impacts From Hydrology to Hydrometeorology: Towards Climate Adaptation Strategies /Puja Das. - 1 electronic resource (132 pages)

Source: Dissertations Abstracts International, Volume: 86-11, Section: B.

Water is central to climate adaptation across scales. At weather scale, climate variability and change are likely to intensify extreme storms, thus short-term precipitation extremes nowcasting, which can inform flooding emergency managers as well as water resources and hydropower operations, has been growing in importance. At decadal to century scales, surface hydrology projections are important to understand water availability and relations to energy, health, agriculture, infrastructure, and ecosystems. This dissertation focuses on three critical water-related challenges in weather scale disaster risk management and climate scale adaptation. Firstly, despite precipitation nowcasting being crucial for flood emergency response, traditional Numerical Weather Prediction (NWP) models often fail to capture localized extreme rainfall. Recent advances in physics-embedded deep generative models, particularly NowcastNet, have shown significant improvements over NWP models. Results from this dissertation indicate that NowcastNet outperforms the High Resolution Rapid Refresh (HRRR) model in predicting heavy precipitation. In climate scale, this dissertation compares runoff projections from two generations of Earth System Models (CMIP5 and CMIP6) against observed datasets (GRUN and ERA5). Findings show that models with finer resolutions and improved parameterizations offer more reliable runoff projections. Moreover, under the SSP 370 emissions scenario where the maximum number of people will be living in these basins, 40% of the world's largest river basins may experience decreased runoff by 2100, affecting approximately 260 million people. Lastly, using high-resolution synthetic aperture radar (SAR) imagery and a Python-based flood depth estimation tool, we derived flood depth maps for two major flood events in Australia. Overall, by addressing challenges across varying spatial (1 m to 250 km) and temporal (hours to decades) scales, this dissertation contributes to advancing early warning systems, climate adaptation strategies, and rapid disaster response, aligning with the IPCC risk framework.

English

ISBN: 9798314842454Subjects--Topical Terms:

2079509
Climate change.
Subjects--Index Terms:

Hydropower operations

Exploring Climate Change Impacts From Hydrology to Hydrometeorology: Towards Climate Adaptation Strategies /
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500 $a Source: Dissertations Abstracts International, Volume: 86-11, Section: B.
500 $a Advisors: Ganguly, Auroop R. Committee members: Beighley, Edward; Munoz, Samuel; Duffy, Kate; Singh, Debjani; Barber, Nathan.
502 $b Ph.D. $c Northeastern University $d 2025.
520 $a Water is central to climate adaptation across scales. At weather scale, climate variability and change are likely to intensify extreme storms, thus short-term precipitation extremes nowcasting, which can inform flooding emergency managers as well as water resources and hydropower operations, has been growing in importance. At decadal to century scales, surface hydrology projections are important to understand water availability and relations to energy, health, agriculture, infrastructure, and ecosystems. This dissertation focuses on three critical water-related challenges in weather scale disaster risk management and climate scale adaptation. Firstly, despite precipitation nowcasting being crucial for flood emergency response, traditional Numerical Weather Prediction (NWP) models often fail to capture localized extreme rainfall. Recent advances in physics-embedded deep generative models, particularly NowcastNet, have shown significant improvements over NWP models. Results from this dissertation indicate that NowcastNet outperforms the High Resolution Rapid Refresh (HRRR) model in predicting heavy precipitation. In climate scale, this dissertation compares runoff projections from two generations of Earth System Models (CMIP5 and CMIP6) against observed datasets (GRUN and ERA5). Findings show that models with finer resolutions and improved parameterizations offer more reliable runoff projections. Moreover, under the SSP 370 emissions scenario where the maximum number of people will be living in these basins, 40% of the world's largest river basins may experience decreased runoff by 2100, affecting approximately 260 million people. Lastly, using high-resolution synthetic aperture radar (SAR) imagery and a Python-based flood depth estimation tool, we derived flood depth maps for two major flood events in Australia. Overall, by addressing challenges across varying spatial (1 m to 250 km) and temporal (hours to decades) scales, this dissertation contributes to advancing early warning systems, climate adaptation strategies, and rapid disaster response, aligning with the IPCC risk framework.
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590 $a School code: 0160
650 4 $a Climate change. $2 bicssc $3 2079509
650 4 $a Hydrologic sciences. $3 3168407
650 4 $a Water resources management. $3 794747
650 4 $a Meteorology. $3 542822
650 4 $a Environmental engineering. $3 548583
653 $a Hydropower operations
653 $a Climate adaptation
653 $a NWP models
653 $a Ecosystems
690 $a 0404
690 $a 0388
690 $a 0595
690 $a 0775
690 $a 0557
710 2 $a Northeastern University. $b Civil and Environmental Engineering. $e degree granting institution. $3 3822968
720 1 $a Ganguly, Auroop R. $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-11B.
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791 $a Ph.D.
792 $a 2025
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31840221