Results 151 to 160 of about 13,568 (200)

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

Hybrid physical-statistical framework for seasonal streamflow forecasting in the Upper Feather River Basin, California. [PDF]

Sci Rep
Ozcan Z, Iseri Y, Ulloa F, Imbulana N, Snider E, Mure-Ravaud M, Anderson ML, Kavvas ML.   +7 more
europepmc   +1 more source

Projections of temperature and precipitation changes in Xinjiang from 2021 to 2050 based on the CMIP6 model. [PDF]

PLoS One
Zhang Y, Zhang P, Gu X, Long A.
europepmc   +1 more source

Convolutional Long Short-Term Memory network for generating 100 m daily near-surface air temperature. [PDF]

Sci Data
Sun M, Meng Q, Zhang L, Hu X, Lei X, Chen S, Hou J.   +6 more
europepmc   +1 more source

The Ouranos CRCM5-CMIP6 ensemble: A dynamically downscaled ensemble of CMIP6 simulations over North America. [PDF]

Sci Data
Paquin D, McCray CD, Gauthier CB, Giguère M, Asselin O, Bourgault P, Labonté MP, Matte D.   +7 more
europepmc   +1 more source

Statistical Downscaling over Italy using EQM: CMIP6 Climate Projections for the 1985-2100 Period. [PDF]

Sci Data
Fedele G, Reder A, Mercogliano P.
europepmc   +1 more source

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Downscaling Global Climate Simulations to Regional Scales: Statistical Downscaling versus Dynamical Downscaling

Journal of Hydrologic Engineering, 2015
AbstractDownscaling is a fundamental procedure in the assessment of the future climate change impact at regional and watershed scales. Hence, it is important to investigate the spatial variability of the climate conditions that are constructed by various downscaling methods to assess whether each method can properly model the climate conditions at ...
S. Jang, M. L. Kavvas
openaire   +1 more source

Statistical-dynamical downscaling of wind climatologies

Journal of Wind Engineering and Industrial Aerodynamics, 1997
Abstract A statistical-dynamical downscaling procedure is applied for an investigation into the availability of wind power over a region of 80 × 87 km which covers flat and hilly terrain. The approach is based on the statistical coupling of a regionally representative wind climate with a numerical atmospheric mesoscale model.
Heinz-Theo Mengelkamp, Hartmut Kapitza, Ulrich Pflüger   +2 more
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Downscaling from GCM precipitation: a benchmark for dynamical and statistical downscaling methods

International Journal of Climatology, 2006
A precipitation downscaling method is presented using precipitation from a general circulation model (GCM) as predictor. The method extends a previous method from monthly to daily temporal resolution. The simplest form of the method corrects for biases in wet-day frequency and intensity. A more sophisticated variant also takes account of flow-dependent
Jürg Schmidli, Christoph Frei, Pier Luigi Vidale   +2 more
openaire   +1 more source