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Earth Systems and Environment, 2021
In countries with scarce water resources, modeling the impacts of climate change on agricultural crops is highly important to assess levels of adverse impacts and to put future changes within the context of planning. In this study, climate change impacts on grain and biological yields of barley were assessed using data for three sites, representing ...
Jawad Al-Bakri +5 more
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In countries with scarce water resources, modeling the impacts of climate change on agricultural crops is highly important to assess levels of adverse impacts and to put future changes within the context of planning. In this study, climate change impacts on grain and biological yields of barley were assessed using data for three sites, representing ...
Jawad Al-Bakri +5 more
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Historical simulations and climate change projections over India by NCAR CCSM4: CMIP5 vs. NEX-GDDP
Theoretical and Applied Climatology, 2018A new bias-corrected statistically downscaled product, namely, the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP), has recently been developed by NASA to help the scientific community in climate change impact studies at local to regional scale.
Sandeep Sahany +2 more
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Climate change adaptation depends on reliable, high-resolution climate data that meet the needs of decision-makers and society. While global climate models (GCMs) provide essential information, they contain systematic biases that must be corrected before use at local scales.
Anna Hulda Ólafsdóttir +2 more
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Anna Hulda Ólafsdóttir +2 more
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Future meteorological drought conditions in southwestern Iran based on the NEX-GDDP climate dataset
Journal of Arid Land, 2023Sakine Koohi, Hadi Ramezani Etedali
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Comparative Study of Supervised Learning Algorithms on Rainfall Prediction using NEX-GDDP-CMIP6 Data
This study explores the transformative potential of supervised machine learning algorithms in improving rainfall prediction models for Indonesia. Leveraging the NEX-GDDP-CMIP6 dataset's high-resolution, global, and bias-corrected data, we compare various machine learning regression algorithms.Ratih Prasetya +3 more
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NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6)
The NASA Earth Exchange Global Daily Downscaled Projections CMIP6 archive (NEX-GDDP-CMIP6) contains daily climate projections of nine variables derived from thirty-five CMIP6 GCMs and four SSP scenarios (SSP2-4.5, SSP5-8.5, SSP1-2.6 and SSP3-7.0) for the period 2015-2100.Bridget Thrasher +4 more
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Journal of Hydrometeorology
Abstract In a warming climate, spatiotemporal changes in precipitation and temperature can impact hydrologic processes and thus the quality of freshwater ecosystems. This study evaluates the performance of 35 downscaled and bias-corrected Coupled Model Intercomparison Project phase 6 (CMIP6) general circulation models (GCMs) from NASA’
Sandesh Dahal +4 more
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Abstract In a warming climate, spatiotemporal changes in precipitation and temperature can impact hydrologic processes and thus the quality of freshwater ecosystems. This study evaluates the performance of 35 downscaled and bias-corrected Coupled Model Intercomparison Project phase 6 (CMIP6) general circulation models (GCMs) from NASA’
Sandesh Dahal +4 more
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Regional climate modelling has evolved significantly, offering versatile applications across various scales and resolutions. This study aims to provide a comprehensive framework for selecting top five Climate Models at each grid for climate variables in the Munneru River Basin, comes under Lower Krishna River Basin, India.
Venkata Reddy Keesara +2 more
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Venkata Reddy Keesara +2 more
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Evaluation of NEX-GDDP-CMIP6 Temperature Projections Across Cork, Ireland
IAHR World Congress, 2013Sogol Moradian +2 more
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