Evaluation of CORDEX Experiment in South Asia using RegCM5
This study analyzes the CORDEX Evaluation Experiment in South Asia through dynamical downscaling using RegCM5 based on ERA5 data. It highlights the need for more RCM simulations in the region, showcases the use of ICTP.RegCM5, describes the dynamics and physics options in the evaluation simulation,
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Regional Climate Modeling in CORDEX South Asia for Climate Change Research
This information details the regional climate modeling efforts within the CORDEX South Asia framework, focusing on high-resolution dynamical downscaling of CMIP5 climate projections. It highlights the activities, opportunities, and challenges for assessing regional climate change, along with future
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NCI Data Collections BARPA & BARRA2 Overview
NCI Data Collections BARPA & BARRA2 serve as critical enablers of big data science and analytics in Australia, offering a vast research collection of climate, weather, earth systems, environmental, satellite, and geophysics data. These collections include around 8PB of regional climate simulations a
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Evaluation of Soil Moisture Estimates from Satellite-Based Products
The study evaluates soil moisture estimates from satellite-based products over two network regions. Soil moisture is crucial for the hydrological cycle, necessitating continuous monitoring due to its spatial and temporal variability. Remote sensing is utilized to gather information without physical
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Economic Impacts of Climate Change in Uganda: Sector Studies and Case Studies
Addressing the economic impacts of climate change in Uganda, this study delves into four main components including downscaling of climate change scenarios, economic modeling at national and sectoral levels, policy recommendations, and communication strategies. With a focus on sectors such as water,
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TraceSplitter: A New Paradigm for Downscaling Traces
This study introduces TraceSplitter, a novel approach for downscaling traces to run on smaller setups effectively. It discusses the need for downscaling in production and experimental setups, focusing on load balancing techniques. The paper compares prior approaches such as timespan scaling, average
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