ResU‐Deep: Improving the Trigger Function of Deep Convection in Tropical Regions With Deep Learning
Journal of Advances in Modeling Earth Systems, 2023 Modeling deep convection accurately in tropical regions is important. However, biases remain in current trigger functions. To alleviate the overestimation of frequency and wrong depiction of the diurnal cycle, we propose a deep convection trigger ...
Mengxuan Chen +3 more
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Frontiers in Ecology and Evolution, 2023 IntroductionAlthough numerous studies have investigated ecosystem-scale soil respiration (SR) at different ecosystem, our understanding of spatial heterogeneity of SR at plot scale is still incomplete, especially in tropical rainforests with complex topography.
Huai Yang +8 more
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Hydrometeorological Conditions Leading to the 2015 Salgar Flash Flood: Lessons for Vulnerable Regions in Tropical Complex Terrain [PDF]
Natural Hazards and Earth System Sciences, 2019 Abstract. Flash floods are a recurrent hazard for many developing Latin American regions due to their complex mountainous terrain and the rainfall characteristics in the Tropics. These regions often lack the timely and high-quality information needed to assess, in real-time, the threats to the vulnerable communities due to extreme hydrometeorological ...
C. D. Hoyos +19 more
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Machine Learning–Based Blending of Satellite and Reanalysis Precipitation Datasets: A Multiregional Tropical Complex Terrain Evaluation [PDF]
Journal of Hydrometeorology, 2019 Abstract This study evaluates a machine learning–based precipitation ensemble technique (MLPET) over three mountainous tropical regions. The technique, based on quantile regression forests, integrates global satellite precipitation datasets from CMORPH, PERSIANN, GSMaP (V6), and 3B42 (V7) and an atmospheric reanalysis precipitation ...
Emmanouil N. Anagnostou +2 more
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Airborne lidar-based estimates of tropical forest structure in complex terrain: opportunities and trade-offs for REDD+ [PDF]
Carbon Balance and Management, 2015 Carbon stocks and fluxes in tropical forests remain large sources of uncertainty in the global carbon budget. Airborne lidar remote sensing is a powerful tool for estimating aboveground biomass, provided that lidar measurements penetrate dense forest vegetation to generate accurate estimates of surface topography and canopy heights.
Leitold, Veronika +4 more
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Remote Sensing, 2017 Individually, ground-based, in situ observations, remote sensing, and regional climate modeling cannot provide the high-quality precipitation data required for hydrological prediction, especially over complex terrains. Data assimilation techniques can be
Xiaoduo Pan +3 more
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Utilization of Specific Attenuation for Tropical Rainfall Estimation in Complex Terrain
Journal of Hydrometeorology, 2014 Abstract To improve the accuracy of quantitative precipitation estimation (QPE) in complex terrain, a new rainfall rate estimation algorithm has been developed and applied on two C-band dual-polarization radars in Taiwan. In this algorithm, the specific attenuation A is utilized in the rainfall rate R estimation, and the parameters used ...
Alexander V. Ryzhkov +4 more
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Remote Sensing Assessment of Forest Disturbance across Complex Mountainous Terrain: The Pattern and Severity of Impacts of Tropical Cyclone Yasi on Australian Rainforests [PDF]
Remote Sensing, 2014 Topography affects the patterns of forest disturbance produced by tropical cyclones. It determines the degree of exposure of a surface and can alter wind characteristics. Whether multispectral remote sensing data can sense the effect of topography on disturbance is a question that deserves attention given the multi-scale spatial coverage of these data ...
Robinson Negrón-Juárez +9 more
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A study of turbulent fluxes and their measurement errors for different wind regimes over the tropical Zongo Glacier (16° S) during the dry season [PDF]
Atmospheric Measurement Techniques, 2015 Over glaciers in the outer tropics, during the dry winter season, turbulent fluxes are an important sink of melt energy due to high sublimation rates, but measurements in stable surface layers in remote and complex terrains remain challenging.
M. Litt, J.-E. Sicart, W. Helgason
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High-Resolution Climate Simulations in the Tropics with Complex Terrain Employing the CESM/WRF Model
Advances in Meteorology, 2018 This study evaluates the high-resolution climate simulation system CESM/WRF composed of the global climate model, Community Earth System Model (CESM) version 1, and the mesoscale model, Weather Research and Forecasting Model (WRF), for simulating high-resolution climatological temperature and precipitation in the tropics with complex terrain where ...
Tomi Afrizal, Chinnawat Surussavadee
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