An appraisal of downscaling methods used in climate change research
The term 'downscaling'refers to the process of translating information from global climate
model simulations to a finer spatial resolution. There are numerous methods by which this …
model simulations to a finer spatial resolution. There are numerous methods by which this …
Impacts of 1.5 C global warming on natural and human systems
This Report responds to the invitation for IPCC?... to provide a Special Report in 2018 on the
impacts of global warming of 1.5° C above pre-industrial levels and related global …
impacts of global warming of 1.5° C above pre-industrial levels and related global …
Evaluation of climate models
Climate models have continued to be developed and improved since the AR4, and many
models have been extended into Earth System models by including the representation of …
models have been extended into Earth System models by including the representation of …
[PDF][PDF] An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment
Global climate models (GCMs) are the primary tools to simulate multi-decadal climate
dynamics and to generate global climate change projections under different future emission …
dynamics and to generate global climate change projections under different future emission …
Increasing risk of meteorological drought in the Lake Urmia basin under climate change: Introducing the precipitation–temperature deciles index
MS Abbasian, MR Najafi, A Abrishamchi - Journal of Hydrology, 2021 - Elsevier
Meteorological droughts due to the concurrent occurrence of low-precipitation and high-
temperature events can lead to severe negative impacts on agriculture, economy …
temperature events can lead to severe negative impacts on agriculture, economy …
Intercomparison of machine learning methods for statistical downscaling: the case of daily and extreme precipitation
Abstract Statistical downscaling of Global Climate Models (GCMs) allows researchers to
study local climate change effects decades into the future. A wide range of statistical models …
study local climate change effects decades into the future. A wide range of statistical models …
Downscaling GRACE remote sensing datasets to high-resolution groundwater storage change maps of California's Central Valley
ME Miro, JS Famiglietti - Remote Sensing, 2018 - mdpi.com
NASA's Gravity Recovery and Climate Experiment (GRACE) has already proven to be a
powerful data source for regional groundwater assessments in many areas around the …
powerful data source for regional groundwater assessments in many areas around the …
Dynamical and statistical downscaling of the French Mediterranean climate: uncertainty assessment
M Vrac, P Drobinski, A Merlo… - … Hazards and Earth …, 2012 - nhess.copernicus.org
ERA-40 reanalyses, and simulations from three regional climate models (RCMs)(ALADIN,
LMDZ, and WRF) and from one statistical downscaling model (CDF-t) are used to evaluate …
LMDZ, and WRF) and from one statistical downscaling model (CDF-t) are used to evaluate …
[HTML][HTML] Future climate and runoff projections across South Asia from CMIP5 global climate models and hydrological modelling
Abstract Study region The South Asia. Study focus This paper presents future climate and
runoff projections for the South Asia region under the RCP8. 5 scenario with climate change …
runoff projections for the South Asia region under the RCP8. 5 scenario with climate change …
Estimation of prediction interval in ANN-based multi-GCMs downscaling of hydro-climatologic parameters
In this paper, point prediction and prediction intervals (PIs) of artificial neural network (ANN)
based downscaling for mean monthly precipitation and temperature of two stations (Tabriz …
based downscaling for mean monthly precipitation and temperature of two stations (Tabriz …