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, 2020
Tremendous efforts have been made for obtaining surface soil moisture (SM) at high spatial resolutions from microwave-based products via spatial downscaling.
Yangxiaoyue Liu +3 more
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Tremendous efforts have been made for obtaining surface soil moisture (SM) at high spatial resolutions from microwave-based products via spatial downscaling.
Yangxiaoyue Liu +3 more
semanticscholar +1 more source
Regional Dynamical Downscaling
2020Dynamical downscaling has been used for about 30 years to produce high-resolution climate information for studies of regional climate processes and for the production of climate information usable for vulnerability, impact assessment and adaptation studies.
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Bivariate Downscaling With Asynchronous Measurements
Journal of Agricultural, Biological, and Environmental Statistics, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
He, Xuming, Yang, Yunwen, Zhang, Jingfei
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Thermal Aspects of Satellite Downscaling
Journal of Thermophysics and Heat Transfer, 2009The strong trend toward nanosatellites creates new challenges in terms of thermal balance control. The thermal balance of a satellite is determined by the heat dissipation in its subsystems and by the thermal connections between them. As satellites become smaller, heat dissipation in their subsystems tends to decrease and thermal connectivity scales ...
van Weeren, H. +4 more
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Downscaling Climate Information
2016What are the local consequences of a global climate change? This question is important for proper handling of risks associated with weather and climate. It also tacitly assumes that there is a systematic link between conditions taking place on a global scale and local effects.
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2017
Downscaling in Weather Forecasting The first downscaling methods had been invented already in the late 1940s (Klein 1948) and became operational in the early days of numerical weather prediction at the end of the 1950s. Back then, operational numerical weather prediction models were by far too coarse to predict local weather, and furthermore they did
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Downscaling in Weather Forecasting The first downscaling methods had been invented already in the late 1940s (Klein 1948) and became operational in the early days of numerical weather prediction at the end of the 1950s. Back then, operational numerical weather prediction models were by far too coarse to predict local weather, and furthermore they did
openaire +1 more source