Results 31 to 40 of about 1,378,530 (277)

Estimating integrated water vapor trends from VLBI, GPS,and numerical weather models: sensitivity totropospheric parameterization [PDF]

, 2018
©2018. American Geophysical UnionIn this study, we estimate integrated water vapor (IWV) trends from very long baseline interferometry (VLBI) and global navigation satellite systems (GNSS) data analysis, as well as from numerical weather models (NWMs ...
Balidakis, Kyriakos, Deng, Zhiguo, Glaser, Susanne, Heinkelmann, Robert, Nilsson, Tobias, Schuh, Harald, Zus, Florian   +6 more
core   +1 more source

Multi-scale analysis of vegetation NPP evolution characteristics and influencing factors in mining areas

矿业科学学报
The surface ecology of coal mining areas is influenced by the spatiotemporal interplay of various factors such as topography, land type, vegetation, meteorology, and mining disturbances.
DAI Linda, BI Yinli, YAN Yueguan
doaj   +1 more source

Mechanics of a Plant in Fluid Flow

, 2019
Plants live in constantly moving fluid, whether air or water. In response to the loads associated with fluid motion, plants bend and twist, often with great amplitude. These large deformations are not found in traditional engineering application and thus
Gosselin, Frederick P.
core   +1 more source

Assessment of the potential of MERIS near-infrared water vapour products to correct ASAR interferometric measurements [PDF]

, 2006
Atmospheric water vapour is a major limitation for high precision Interferometric Synthetic Aperture Radar (InSAR) applications due to its significant impact on microwave signals.
Albert, P., Bennartz, R., Cross, P., Fischer, J., Li, Z., Muller, J.P.   +5 more
core   +1 more source

Numerical Simulation of Baroclinic Jovian Vortices [PDF]

, 1994
We examine the evolution of baroclinic vortices in a time-dependent, nonlinear numerical model of a Jovian atmosphere. The model uses a normal-mode expansion in the vertical, using the barotropic and first two baroclinic modes.
GRAINGER, R, LAMBERT, A, REMEDIOS, J, RODGERS, C, TAYLOR, F   +4 more
core   +3 more sources

Thermochromic Radiative Cooling Coatings with Robust Superhydrophobicity for Energy‐Efficient Buildings

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A scalable, color‐adaptive radiative cooling coating is developed to enable dynamic spectral regulation via a reversible thermochromic transition at ~45 °C and a high solar reflectance of 91.7%. The coating achieves 4.44 °C outdoor sub‐ambient cooling while providing robust superhydrophobicity and environmental durability through its micro/nano ...
Ziqi Li, Akbar Bashir, Chak‐Yin Tang, Gary Chi‐Pong Tsui, Yan Chen, Jie Cui, Xing Ouyang, Chen Liu, Dazhu Chen   +8 more
wiley   +1 more source

Determination of U, V, and W from single station Doppler radar radial velocities [PDF]

, 1986
The ST/MST (stratosphere troposphere/mesosphere stratosphere troposphere) clear air Doppler radar, or wind profiler, is an important tool in observational meteorology because of its capability to remote observe dynamic parameters of the atmosphere. There
Clark, W. L., Green, J. L., Warnock, J. M.   +2 more
core   +1 more source

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

Energy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi, Benjamin A. Shimray, Ingudam Chitrasen Meitei, Khelchandra Thongam, Shuma Adhikari, Anuradha Laishram, Subir Datta, Ahmed Al Mansur, Taha Selim Ustun   +8 more
wiley   +1 more source

Changing Face of the Extrasolar Giant Planet, HD 209458b [PDF]

, 2002
High-resolution atmospheric flow simulations of the tidally-locked extrasolar giant planet, HD 209458b, show large-scale spatio-temporal variability. This is in contrast to the simple, permanent day/night (i.e., hot/cold) picture.
Bradley M. S. Hansen, James Y-K. Cho, Kristen Menou, Salby M. L., Sara Seager   +4 more
core   +2 more sources

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source