2022
DOI: 10.34293/economics.v10i2.4615
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Identification of Climate Change Impacts and Tradeoffs Established Under Shared Socioeconomic Pathways of IPCC AR6 using A Moderate Resolution GCM viz. MRI-ESM2-0 of CMIP6 over Pakistan

Abstract: Pakistan will be 100 years by the end of mid-21st century. Within its continued lifespan, it has borne witness to various climate change hazards exclusively conveyed under the umbrella of the Intergovernmental Panel on Climate Change (IPCC) Assessment Reports (ARs). Recently published IPCC’s AR6 establishes its distinctiveness by addressing co-benefits, risks, interactions, trade-offs and economic development factors associated with magnitude of climate change factors, both regionally and globally. With heavy … Show more

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Cited by 1 publication
(2 citation statements)
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“…Attributed to the stated enriched features in the MRI-ESM2.0 over its former versions-MRI-CGCM3/MRI-ESM1-the model was anticipated to reveal greater performance in research intended under the CMIP6. A recent utilization and validation of the MRI-ESM2.0 over Pakistan may be seen in Burhan et al (2022).…”
Section: Climate Model Datamentioning
confidence: 99%
See 1 more Smart Citation
“…Attributed to the stated enriched features in the MRI-ESM2.0 over its former versions-MRI-CGCM3/MRI-ESM1-the model was anticipated to reveal greater performance in research intended under the CMIP6. A recent utilization and validation of the MRI-ESM2.0 over Pakistan may be seen in Burhan et al (2022).…”
Section: Climate Model Datamentioning
confidence: 99%
“…Nevertheless, based on potential uncertainties that could arise from single model use, they advised to exercise caution in attempting to use such outputs and conditioned the use of such with pre-assessment of the engaged model output for use in impacts assessment studies. We therefore engaged that particular model out of the CMIP6 data repository whose output had been already evaluated over our region of interest (Burhan et al, 2022). In this regard, it is therefore advised to treat the results as projections only, especially when they are derived from single climate model data outputs.…”
Section: Limitationsmentioning
confidence: 99%