Results 151 to 160 of about 41,752 (176)

Kilometer-scale convection-allowing model emulation using generative diffusion modeling. [PDF]

Sci Adv
Pathak J, Cohen Y, Garg P, Harrington P, Brenowitz N, Durran D, Mardani M, Vahdat A, Xu S, Kashinath K, Pritchard M.   +10 more
europepmc   +1 more source

Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling. [PDF]

Sci Rep
Reder A, Fedele G, Manco I, Mercogliano P.   +3 more
europepmc   +1 more source

Ensemble downscaled climate dataset for Alaska and Hawaii under historical and future conditions. [PDF]

Sci Data
Kim T, Villarini G, Done JM, Prein AF, Johnson DR, Wang C.   +5 more
europepmc   +1 more source

On the procurement of physical risk assessments for climate-related disclosures: guidance from a climate science perspective. [PDF]

J R Soc N Z
Harrington LJ, Gibson PB, Fauchereau N, Lewis H, Frame D, Rosier SM.   +5 more
europepmc   +1 more source

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Joint variable spatial downscaling

Climatic Change, 2011
Joint Variable Spatial Downscaling (JVSD), a new statistical technique for downscaling gridded climatic variables, is developed to generate high resolution gridded datasets for regional watershed modeling and assessments. The proposed approach differs from previous statistical downscaling methods in that multiple climatic variables are downscaled ...
Feng Zhang, Aris P. Georgakakos
openaire   +1 more source

Spatial downscaling of European climate data

International Journal of Climatology, 2015
ABSTRACTE‐OBS(European Observations) is a gridded climate data set which contains maximum temperature, minimum temperature, and precipitation on a daily time step. The data can be as fine as 0.25° in resolution and extends over the entire European continent and parts of Africa and Asia.
Adam Moreno, Hubert Hasenauer
openaire   +1 more source

Spatial variability and downscalling of precipitation

Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere, 2001
Abstract To fully take advantage of regional climate forecast information for agricultural applications, the relationship between regional and station scale precipitation characteristics must be quantified. The spatial variability of precipitation within a region is defined by differences between station and regional standardised values.
F. Rossel, J. Garbrecht
openaire   +1 more source

Spatial downscaling of TRMM 3B43 precipitation considering spatial heterogeneity

International Journal of Remote Sensing, 2014
The availability of accurate precipitation data with high spatial resolution is deemed necessary for many types of hydrological, meteorological, and environmental applications. The Tropical Rainfall Measuring Mission (TRMM) data sets can provide effective precipitation information, but at coarse resolution (0.25°), so it is very important to improve ...
Fengrui Chen, Yu Liu, Qiang Liu, Xi Li
openaire   +1 more source

H.263 video transcoding for spatial resolution downscaling

Proceedings. International Conference on Information Technology: Coding and Computing, 2005
In order to allow users to use handheld devices accessing video information, such as downloading and playing video files, there is a need to downscale the compressed video into lower spatial resolution and lower transmission bit rate. In this work, transcoding the compressed H.263 video into low spatial-resolution is discussed and realized.
null Zhijun Lei, N.D. Georganas
openaire   +1 more source

Downscaling the environmental associations and spatial patterns of species richness

Ecological Applications, 2014
We introduce a method that enables the estimation of species richness–environment association and prediction of geographic patterns of species richness at grains finer than the original grain of observation. The method is based on a hierarchical model that uses coarse‐grain values of species richness and fine‐grain environmental data as input.
Petr Keil, Walter Jetz
openaire   +2 more sources