Results 171 to 180 of about 3,910 (198)

Historical simulations and climate change projections over India by NCAR CCSM4: CMIP5 vs. NEX-GDDP

Theoretical and Applied Climatology, 2018
A 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, Saroj Kanta Mishra, Popat Salunke   +2 more
openaire   +1 more source

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, Weile Wang, Andrew Michaelis, Ian Brosnan, Sepideh Khajehei   +4 more
openaire   +1 more source

An appraisal of the NEX-GDDP precipitation dataset across homogeneous precipitation sub-regions of Iran

Theoretical and Applied Climatology, 2023
Vahid Ghalami, Bahram Saghafian, Tayeb Raziei   +2 more
openaire   +1 more source

Bias adjustment of the NEX-GDDP-CMIP6 climate data and predicted change in the future climate of Iceland 

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, Tarek Zaqout, Halldór Björnsson   +2 more
openaire   +1 more source

Future meteorological drought conditions in southwestern Iran based on the NEX-GDDP climate dataset

Journal of Arid Land, 2023
Sakine Koohi, Hadi Ramezani Etedali
openaire   +1 more source

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, Adhi Harmoko Saputro, Donaldi Sukma Permana, Nelly Florida Riama   +3 more
openaire   +1 more source

Structural Similarity Assessment of Precipitation and Temperature in NEX-GDDP-CMIP6 Simulations over the Contiguous United States

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, Ardeshir Ebtehaj, Miki Hondzo, Mohammed Azharuddin, Vipin Kumar   +4 more
openaire   +1 more source

Evaluation of NEX-GDDP-CMIP6 Temperature Projections Across Cork, Ireland

IAHR World Congress, 2013
Sogol Moradian, Apoorva Bamal, Agnieszka I. Olbert   +2 more
openaire   +1 more source

Unveiling the Subjectivity in Ranking of NEX-GDDP-CMIP6 Climate Models Over Munneru River Basin, India

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, Eswar Sai Buri, Loukika Kotapati Narayanaswamy   +2 more
openaire   +1 more source

Trend analysis of evapotranspiration over Iran based on NEX-GDDP high-resolution dataset

International Journal of Climatology, 2021
Vahid Ghalami, Tayeb Raziei, Bahram Saghafian   +2 more
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