Results 1 to 10 of about 733,441 (303)
Sensors, 2021 Limited training data is one of the biggest challenges in the industrial application of deep learning. Generating synthetic training images is a promising solution in computer vision; however, minimizing the domain gap between synthetic and real-world ...
Leon Eversberg, Jens Lambrecht
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Assessment of small-scale variability of rainfall and multi-satellite precipitation estimates using measurements from a dense rain gauge network in Southeast India [PDF]
Hydrology and Earth System Sciences, 2016 This paper describes the establishment of a dense rain gauge network and small-scale variability in rain events (both in space and time) over a complex hilly terrain in Southeast India.
K. Sunilkumar +2 more
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A simple method for estimating macroalgae area under clouds on MODIS imagery
Frontiers in Marine Science, 2022 The presence of clouds interferes with optical remote sensing monitoring of macroalgae blooms. To solve this problem, we propose a simple method for estimating macroalgae area under clouds (Area_cloud_GT) on MODIS imagery using the principle behind the ...
Deyu An +7 more
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International Journal of Digital Earth, 2023 Changes in wetland ecosystems have a critical impact on the local ecology and species diversity. Different development scenarios and policies are key factors influencing their changes. Therefore, we studied changes of wetlands in the middle Yangtze River
Shengqing Zhang +6 more
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Journal of Advances in Modeling Earth Systems, 2022 Tropical anvil clouds are an important player in Earth's climate and climate sensitivity, but simulations of anvil clouds are uncertain. Here we identify and investigate one source of uncertainty by demonstrating a marked increase of anvil cloud fraction
Nadir Jeevanjee, Linjiong Zhou
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Downwind control of oceanic air by land: the land wake and its sensitivity to CO2
Environmental Research Letters, 2022 Oceans are well-known to be directly altered by global climate forcings such as greenhouse gas changes, but how oceans are indirectly influenced by land and its response to such forcings remains less explored.
Marysa M Laguë +2 more
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Journal of Advances in Modeling Earth Systems, 2023 In the context of Arctic amplification many of the feedback mechanisms, decreasing or enhancing the warming, involve clouds and water vapor. Currently, there is a gap in understanding the role of clouds which leads to uncertainties in climate simulations.
Theresa Kiszler +2 more
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Impact of Aerosol and Cloud on the Solar Energy Potential over the Central Gangetic Himalayan Region
Remote Sensing, 2021 We examine the impact of atmospheric aerosols and clouds on the surface solar radiation and solar energy at Nainital, a high-altitude remote location in the central Gangetic Himalayan region (CGHR).
Umesh Chandra Dumka +3 more
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Remote Sensing, 2021 In this work, the effect that two basic air quality indexes, aerosols and tropospheric NO2, exert on surface solar radiation (SSR) is studied, along with the effect of liquid and ice clouds over 16 locations in Greece, in the heart of the Eastern ...
Georgia Alexandri +2 more
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Remote Sensing, 2023 Forty years of cloud observations are available globally from satellites, allowing derivation of climate data records (CDRs) for climate change studies.
Abhay Devasthale, Karl-Göran Karlsson
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