Results 51 to 60 of about 4,321,601 (325)

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

Understanding the Impact of Precipitation Bias‐Correction and Statistical Downscaling Methods on Projected Changes in Flood Extremes

Earth's Future
This study evaluates five bias correction and statistical downscaling (BCSD) techniques for daily precipitation and examines their impacts on the projected changes in flood extremes (i.e., 1%, 0.5%, and 0.2% floods). We use climate model outputs from the
Alexander T. Michalek, G. Villarini, Taereem Kim   +2 more
semanticscholar   +1 more source

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

Downscaling landsat land surface temperature over the urban area of Florence [PDF]

, 2016
A new downscaling algorithm for land surface temperature (LST) images retrieved from Landsat Thematic Mapper (TM) was developed over the city of Florence and the results assessed against a high-resolution aerial image.
ANNIBALLE, ROBERTA, BONAFONI, STEFANIA, Gioli, Beniamino, Toscano, Piero   +3 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

Statistical downscaling of GCM simulations to Streamflow

Journal of Hydrology, 2001
A multi-tiered forecast procedure is employed to simulate real-time operational seasonal forecasts of categorized (below-normal, near-normal and above-normal) streamflow at the inlets of twelve dams of the Vaal and upper Tugela river catchments in South Africa.
Landman, Willem A., Mason, Simon J., Tyson, Peter, Tennant, Warren   +3 more
openaire   +3 more sources

The Principal Component Linear Spline Quantile Regression Model in Statistical Downscaling for Rainfall Data [PDF]

Journal of Sciences, Islamic Republic of Iran
Information regarding rainfall can be obtained from global data, namely the global climate model that can be accessed through the statistical downscaling approach.
Andi Yulianti, Anna Islamiyati, Erna Herdiani   +2 more
doaj   +1 more source

Dynamically and Statistically Downscaled Seasonal Simulations of Maximum Surface Air Temperature Over the Southeastern United States [PDF]

, 2007
Coarsely resolved surface air temperature (2 m height) seasonal integrations from the Florida State University/Center for Ocean-Atmospheric Prediction Studies Global Spectral Model (FSU/COAPS GSM) (~1.8º lon.-lat.
Barnston, Bonan, Boé, Changnon, Cocke, Cocke, Cocke, Conway, Coulibaly, Cressman, D. W. Shin, Díez, Eric P. Chassignet, Feddersen, Fennessy, Fuentes, Giorgi, Giorgi, Heidke, Hewitson, Hong, Hoyer, Huth, Huth, James J. O'Brien, Ji, Jolliffe, Juang, Justin T. Schoof, Kim, Kim, Lim, Marinucci, Misra, Murphy, Nicolini, Ogura, Oshima, Pan, Ramírez, Reusch, Robertson, Rotach, Saha, Salathé, Salathé, Schmidli, Schoof, Schubert, Shin, Shin, Steven Cocke, Sun, T. E. LaRow, Takayabu, Trigo, Widmann, Wilby, Wilby, Wilks, Wood, Xu, Young-Kwon Lim, Zhu   +63 more
core   +2 more sources

Statistically Downscaled Temperature Scenarios over China [PDF]

Atmospheric and Oceanic Science Letters, 2009
Monthly mean temperatures at 562 stations in China are estimated using a statistical downscaling technique. The technique used is multiple linear regressions (MLRs) of principal components (PCs).
openaire   +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