not been able to effectively address challenges posed by climate change. Recent
studies have used General Circulation Models (GCMs)
2 to assess the impacts of
climate change at the regional level using statistical downscaling
3 techniques (Zhang
et al. 2019; Woldemeskel et al. 2016; Rehana and Mujumdar 2012; Ghosh and
Mujumdar 2006).
Regional-Scale Assessment
Understanding how the changes in cardinal and sensitive climate variables such as
temperature and precipitation will affect natural resources, and also for developing
management policies for mitigation and adaption strategies, regional-scale assessments are crucial. Buotte et al. (2016) captured the regional variability of changing
climate, vulnerable across subregions to regional scale, to elicit and synthesize our
understanding of its impacts. The regional climate model is engaged to understand
the climate change scenario of the twenty-first century through assessment at the
watershed scale to evaluate the water budget and flood conditions of Peninsular
Malaysia (Amin et al. 2017). Coastal risks and vulnerabilities related to the physical
and socioeconomic impacts of climate change at the regional scale in Mediterranean
coastal zones were analyzed using the Coastal Risk Index model (Satta et al. 2017).
The impact of changing climate on socioeconomic scenarios on water quality of the
Mahanadi River was assessed to reflect the implicit implications of the people’s
livelihood (Jin et al. 2018). Spatiotemporal trend detection of hydrometeorological
parameters, namely temperature and precipitation, for assessing climate change at
river basin scale in India was useful for watershed management and policy decisions
for climate change adaptation (Chandole et al. 2019). Thus, it is important to carry
out investigations of regional climate change to assess the impacts at the regional
scale, which in the due course of time has received considerable attention.
Climate Change: Indian Scenario
India is an agricultural country, with two-thirds of its population depending on rain
for agriculture and allied activities for their livelihood and sustenance. Further,
agriculture forms the backbone of the country’s economy, accounts for nearly
2 General Circulation Models (GCMs), mathematical models representing physical processes in the
atmosphere, ocean, cryosphere, and land surface, are the most advanced tools currently available for
simulating the response of the global climate system to increasing greenhouse gas concentrations.
3 Statistical downscaling involves the establishment of empirical relationships between historical
and/or current large-scale atmospheric and local climate variables. Once a relationship has been
determined and validated, future atmospheric variables that GCMs project are used to predict future
events.
2 Regional Assessment of Impacts of Climate Change: A Statistical Downscaling. . .
19
studies have used General Circulation Models (GCMs)
2 to assess the impacts of
climate change at the regional level using statistical downscaling
3 techniques (Zhang
et al. 2019; Woldemeskel et al. 2016; Rehana and Mujumdar 2012; Ghosh and
Mujumdar 2006).
Regional-Scale Assessment
Understanding how the changes in cardinal and sensitive climate variables such as
temperature and precipitation will affect natural resources, and also for developing
management policies for mitigation and adaption strategies, regional-scale assessments are crucial. Buotte et al. (2016) captured the regional variability of changing
climate, vulnerable across subregions to regional scale, to elicit and synthesize our
understanding of its impacts. The regional climate model is engaged to understand
the climate change scenario of the twenty-first century through assessment at the
watershed scale to evaluate the water budget and flood conditions of Peninsular
Malaysia (Amin et al. 2017). Coastal risks and vulnerabilities related to the physical
and socioeconomic impacts of climate change at the regional scale in Mediterranean
coastal zones were analyzed using the Coastal Risk Index model (Satta et al. 2017).
The impact of changing climate on socioeconomic scenarios on water quality of the
Mahanadi River was assessed to reflect the implicit implications of the people’s
livelihood (Jin et al. 2018). Spatiotemporal trend detection of hydrometeorological
parameters, namely temperature and precipitation, for assessing climate change at
river basin scale in India was useful for watershed management and policy decisions
for climate change adaptation (Chandole et al. 2019). Thus, it is important to carry
out investigations of regional climate change to assess the impacts at the regional
scale, which in the due course of time has received considerable attention.
Climate Change: Indian Scenario
India is an agricultural country, with two-thirds of its population depending on rain
for agriculture and allied activities for their livelihood and sustenance. Further,
agriculture forms the backbone of the country’s economy, accounts for nearly
2 General Circulation Models (GCMs), mathematical models representing physical processes in the
atmosphere, ocean, cryosphere, and land surface, are the most advanced tools currently available for
simulating the response of the global climate system to increasing greenhouse gas concentrations.
3 Statistical downscaling involves the establishment of empirical relationships between historical
and/or current large-scale atmospheric and local climate variables. Once a relationship has been
determined and validated, future atmospheric variables that GCMs project are used to predict future
events.
2 Regional Assessment of Impacts of Climate Change: A Statistical Downscaling. . .
19