Analysis of drought severity-area-frequency curves using a general circulation model and scenario uncertainty

2009 ◽  
Vol 114 (D6) ◽  
Author(s):  
A. K. Mishra ◽  
Vijay P. Singh
Keyword(s):  
General Circulation Model ◽  
General Circulation ◽  
Circulation Model ◽  
Drought Severity ◽  
Scenario Uncertainty ◽  
Frequency Curves

Statistical downscaling of general circulation model outputs to catchment scale hydroclimatic variables: issues, challenges and possible solutions

2014 ◽  
Vol 5 (4) ◽  
pp. 496-525 ◽  
Author(s):  
D. A. Sachindra ◽  
F. Huang ◽  
A. Barton ◽  
B. J. C. Perera
Keyword(s):  
General Circulation Model ◽  
Statistical Downscaling ◽  
General Circulation ◽  
Circulation Model ◽  
Potential Method ◽  
Mathematical Representation ◽  
Physical Processes ◽  
Catchment Scale ◽  
Scenario Uncertainty ◽  
Hydroclimatic Variables

The aim of this paper is to discuss the issues and challenges associated with statistical downscaling of general circulation model (GCM) outputs to hydroclimatic variables at catchment scale and also to discuss potential solutions to address these issues and challenges. Outputs of GCMs (predictors of statistical downscaling models) suffer a considerable degree of uncertainty, mainly due to the lack of theoretical robustness caused by the limited understanding of various physical processes of the atmosphere and the incomplete mathematical representation of those processes in GCMs. The presence of several future GHG emission scenarios with equal likelihood of occurrence leads to scenario uncertainty. Outputs of a downscaling study are dependent on the quality and the length of the record of field observations, as statistical downscaling models are calibrated and validated against these observations of the hydroclimatic variables (predictands of statistical downscaling models). The downscaled results vary from one statistical downscaling technique to another due to different representations of the predictor–predictand relationships. Also different techniques used in selecting the predictors for statistical downscaling models influence the model outputs. Although statistical downscaling faces these issues, it is still considered as a potential method of predicting the catchment scale hydroclimatology from GCM outputs.

An eddy-permitting ocean-sea ice general circulation model (E3SMv0-HiLAT03): Description and evaluation

2019 ◽  
Author(s):  
Jiaxu Zhang ◽  
Wilbert Weijer ◽  
Mathew Einar Maltrud ◽  
Carmela Veneziani ◽  
Nicole Jeffery ◽  
...  
Keyword(s):  
Sea Ice ◽  
General Circulation Model ◽  
General Circulation ◽  
Circulation Model

Calculating the Natural Atmospheric Radiation Using the General Circulation Model of the Earth’s Lower and Middle Atmosphere

2020 ◽  
Vol 12 (5) ◽  
pp. 803-815
Author(s):  
B. N. Chetverushkin ◽  
I. V. Mingalev ◽  
E. A. Fedotova ◽  
K. G. Orlov ◽  
V. M. Chechetkin ◽  
...  
Keyword(s):  
General Circulation Model ◽  
General Circulation ◽  
Middle Atmosphere ◽  
Circulation Model ◽  
Atmospheric Radiation

INTERANNUAL VARIABILITY OF MINERAL DUST SIMULATED WITH A GENERAL CIRCULATION MODEL

2001 ◽  
Vol 32 ◽  
pp. 125-126
Author(s):  
C. TIMMRECK ◽  
M. SCHULZ ◽  
Y. BALKANSKI ◽  
J. FEICHTER
Keyword(s):  
Interannual Variability ◽  
General Circulation Model ◽  
General Circulation ◽  
Mineral Dust ◽  
Circulation Model
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