Results 51 to 60 of about 41,752 (176)

Nearshore wave forecasting and hindcasting by dynamical and statistical downscaling

, 2012
A high-resolution nested WAM/SWAN wave model suite aimed at rapidly establishing nearshore wave forecasts as well as a climatology and return values of the local wave conditions with Rapid Enviromental Assessment (REA) in mind is described. The system is
Birgitte R. Furevik, Booij, Gaslikova, Gaslikova, Hasselmann, Jenkinson, Lopatoukhin, Magnar Reistad, Monbaliu, Naess, Naess, O'Reilly, Ole Johan Aarnes, Reistad, Reistad, Ris, Simiu, Smith, Smith, Stoelinga, Tolman, Unden, Wilks, Wilson, Yvonne Gusdal, Øyvind Breivik   +25 more
core   +1 more source

ThumbNet: One Thumbnail Image Contains All You Need for Recognition

, 2020
Although deep convolutional neural networks (CNNs) have achieved great success in computer vision tasks, its real-world application is still impeded by its voracious demand of computational resources.
Abadi Mart'in, Han Song, He Yihui, Hinton Geoffrey E, Ioffe Sergey, Li Yujia, Luo Jian-Hao, Simonyan Karen, Xu Mengmeng, Yu Jiahui, Zhao Chen, Zhou Bolei   +11 more
core   +1 more source

Errors in climate model daily precipitation and temperature output: time invariance and implications for bias correction [PDF]

, 2013
When correcting for biases in general circulation model (GCM) output, for example when statistically downscaling for regional and local impacts studies, a common assumption is that the GCM biases can be characterized by comparing model simulations and ...
Cayan, Daniel R., Das, Tapash, Maurer, Edwin P.   +2 more
core   +3 more sources

A Machine Learning-Based Geostatistical Downscaling Method for Coarse-Resolution Soil Moisture Products

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The surface soil moisture (SSM) products derived from microwave remote sensing have a coarse spatial resolution; therefore, downscaling is required to obtain accurate SSM at high spatial resolution. An effective way to handle the stratified heterogeneity
Yan Jin, Yong Ge, Yaojie Liu, Yuehong Chen, Haitao Zhang, Gerard B. M. Heuvelink   +5 more
doaj   +1 more source

DCT-domain spatial transcoding using generalized DCT decimation [PDF]

, 2005
[[abstract]]In this paper, we propose a generalized DCT-domain spatial downscaling scheme to improve the visual quality. We analyze the filtering performances and computational complexities of the proposed scheme and the pixel-domain downscaling schemes.
Chia-Wen Lin, Yuh-Ruey Lee
core   +2 more sources

Step-By-Step Downscaling of Land Surface Temperature Considering Urban Spatial Morphological Parameters

Remote Sensing, 2022
Land surface temperature (LST) is one of the most important parameters in urban thermal environmental studies. Compared to natural surfaces, the surface of urban areas is more complex, and the spatial variability of LST is higher.
Xiangyu Li, Guixin Zhang, Shanyou Zhu, Yongming Xu   +3 more
doaj   +1 more source

The CORDEX.be initiative as a foundation for climate services in Belgium [PDF]

, 2018
The CORDEX.be project created the foundations for Belgian climate services by producing high-resolution Belgian climate information that (a) incorporates the expertise of the different Belgian climate modeling groups and that (b) is consistent with the ...
Bauwens, Maite, Caluwaerts, Steven, De Cruz, Lesley, De Ridder, Koen, De Troch, Rozemien, Doutreloup, Sébastien, Duchêne, François, Fettweis, Xavier, Giot, Olivier, Gobin, Anne, Hamdi, Rafiq, Hosseinzadehtalaei, Parisa, Lauwaet, Dirk, Luyten, Patrick, Marbaix, Philippe, Müller, Jean-François, Ponsar, Stéphanie, Pottiaux, Eric, Scholzen, Chloé, Stavrakou, Trissevgeni, Tabari, Hossein, Termonia, Piet, Van den Eynde, Dries, Van Lipzig, Nicole, Van Schaeybroeck, Bert, Van Uytven, Els, Van Ypersele, Jean-Pascall, Vanden Broucke, Sam, Vannitsem, Stéphane, Villanueva-Birriel, Cecille, Willems, Patrick, Wouters, Hendrik, Wyard, Coraline   +32 more
core   +2 more sources

A Downscaling Method of TRMM Satellite Precipitation Based on Geographically Neural Network Weighted Regression: A Case Study in Sichuan Province, China

Atmosphere
Spatial downscaling is an effective way to improve the spatial resolution of precipitation products. However, the existing methods often fail to adequately consider the spatial heterogeneity and complex nonlinearity between precipitation and surface ...
Ge Zheng, Nan Zhang, Laifu Zhang, Yijun Chen, Sensen Wu   +4 more
doaj   +1 more source

Detail-Preserving Pooling in Deep Networks

, 2018
Most convolutional neural networks use some method for gradually downscaling the size of the hidden layers. This is commonly referred to as pooling, and is applied to reduce the number of parameters, improve invariance to certain distortions, and ...
Goesele, Michael, Roth, Stefan, Saeedan, Faraz, Weber, Nicolas   +3 more
core   +1 more source

A frailty-contagion model for multi-site hourly precipitation driven by atmospheric covariates [PDF]

, 2014
Accurate stochastic simulations of hourly precipitation are needed for impact studies at local spatial scales. Statistically, hourly precipitation data represent a difficult challenge.
Koch, Erwan, Naveau, Philippe
core   +2 more sources