Results 41 to 50 of about 41,752 (176)

Downscaling data assimilation algorithm with applications to statistical solutions of the Navier-Stokes equations

, 2018
Based on a previously introduced downscaling data assimilation algorithm, which employs a nudging term to synchronize the coarse mesh spatial scales, we construct a determining map for recovering the full trajectories from their corresponding coarse mesh
Biswas, Animikh, Foias, Ciprian, Mondaini, Cecilia F., Titi, Edriss S.   +3 more
core   +1 more source

Blue Nile Runoff Sensitivity to Climate Change [PDF]

, 2010
This study describes implementation of hydrological climate change impact assessment tool utilising a combination of statistical spatiotemporal downscaling and an operational hydrological model known as the Nile Forecasting System.
Bellerby, T, Elshamy, M, Nawaz, NR, Sayed, M   +3 more
core   +2 more sources

Stepwise Downscaling of ERA5-Land Reanalysis Air Temperature: A Case Study in Nanjing, China

Remote Sensing
Reanalysis air temperature data, characterized by temporal continuity but limited spatial resolution, are commonly downscaled to achieve higher spatial resolution to meet the demands of regional climatological studies and related research fields. However,
Xuelian Li, Guixin Zhang, Shanyou Zhu, Yongming Xu   +3 more
doaj   +1 more source

Investigating the Potential of Downscaling Approaches for SMAP Radiometer Soil Moisture in Agroforestry Areas, China

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Accurate high-spatial-resolution soil moisture content (SMC) datasets are crucial for applications, such as erosion modelling, flood forecasting, and agricultural production.
Huizhen Cui, Lingmei Jiang, Menxin Wu, Jian Wang, Fangbo Pan, Wanjin Liao   +5 more
doaj   +1 more source

Temporal stability of soil moisture and radar backscatter observed by the advanced Synthetic Aperture Radar (ASAR) [PDF]

, 2008
The high spatio-temporal variability of soil moisture is the result of atmospheric forcing and redistribution processes related to terrain, soil, and vegetation characteristics.
Alexander Löw, Annett Bartsch, Baghdadi, Bamler, Bartalis, Baup, Carsten Pathe, Ceballos, Ceballos, Chen, Cosh, Cosh, Crow, Daniel Sabel, Davidson, De Lannoy, Dirmeyer, Dubayah, Engman, Entin, Fung, Gauthier, Grayson, Günter Blöschl, Hillel, José Martínez-Fernández, Kerr, Kerr, Klaus Scipal, Loew, Marcela Doubkova, Martinez-Fernandez, Martinez-Fernandez, Meier, Moran, Mäkynen, Narayan, Njoku, Njoku, Pellarin, Raju, Schanda, Stefan Hasenauer, Ulaby, Ulaby, Vachaud, van Zyl, Vinnikov, Wagner, Wagner, Wagner, Wagner, Walker, Walker, Western, Western, Wolfgang Wagner, Zhao, Zink   +58 more
core   +4 more sources

Spatial Downscaling of Nighttime Land Surface Temperature Based on Geographically Neural Network Weighted Regression Kriging

Remote Sensing
Land surface temperature (LST) has a wide application in Earth Science-related fields, and spatial downscaling is an important method to retrieve high-resolution LST data.
Jihan Wang, Nan Zhang, Laifu Zhang, Haoyu Jing, Yiming Yan, Sensen Wu, Renyi Liu   +6 more
doaj   +1 more source

Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities

, 2019
We propose a probabilistic model for refining coarse-grained spatial data by utilizing auxiliary spatial data sets. Existing methods require that the spatial granularities of the auxiliary data sets are the same as the desired granularity of target data.
Iwata, Tomoharu, Kurashima, Takeshi, Okawa, Maya, Tanaka, Toshiyuki, Tanaka, Yusuke, Toda, Hiroyuki   +5 more
core   +1 more source

Spatial downscaling of precipitation using adaptable random forests

Water Resources Research, 2016
This paper introduces Prec-DWARF (Precipitation Downscaling With Adaptable Random Forests), a novel machine-learning based method for statistical downscaling of precipitation. Prec-DWARF sets up a nonlinear relationship between precipitation at fine resolution and covariates at coarse/fine resolution, based on the advanced binary tree method known as ...
He, Xiaogang, Chaney, Nathaniel, Schleiss, Marc, Sheffield, Justin   +3 more
openaire   +4 more sources

The match between climate services demands and Earth System Models supplies [PDF]

, 2018
Earth System Models (ESM) are key ingredients of many of the climate services that are currently being developed and delivered. However, ESMs have more applications than the provision of climate services, and similarly many climate services use more ...
Bessembinder, Janette, Doblas-Reyes, Francisco, Döscher, Ralf, Hewitt, Chris, Jacob, Daniela, van den Hurk, Bart   +5 more
core   +2 more sources

Unveiling vertical state downscaling: identity and/or the economy? [PDF]

, 2010
State rescaling may take a variety of shapes although scant research has been carried out into the mechanisms and economic incentives that underpin rescaling processes.
Costa-i-Font, Joan
core