scholarly journals High-resolution ensemble projections of near-term regional climate over the continental United States

2016 ◽  
Vol 121 (17) ◽  
pp. 9943-9963 ◽  
Author(s):  
Moetasim Ashfaq ◽  
Deeksha Rastogi ◽  
Rui Mei ◽  
Shih-Chieh Kao ◽  
Sudershan Gangrade ◽  
...  
Keyword(s):  
United States ◽  
High Resolution ◽  
Regional Climate ◽  
Near Term ◽  
Ensemble Projections

scholarly journals Assessment of Flood Extremes Using Downscaled CMIP5 High-Resolution Ensemble Projections of Near-Term Climate for the Upper Thu Bon Catchment in Vietnam

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 634 ◽  
Author(s):  
Do Nam ◽  
Tran Hoa ◽  
Phan Duong ◽  
Duong Thuan ◽  
Dang Mai
Keyword(s):  
High Resolution ◽  
Return Period ◽  
Coupled Model ◽  
Daily Rainfall ◽  
Flood Peak ◽  
Basin Scale ◽  
The Future ◽  
Near Term ◽  
Baseline Climate ◽  
Ensemble Projections

Exploring potential floods is both essential and critical to making informed decisions for adaptation options at a river basin scale. The present study investigates changes in flood extremes in the future using downscaled CMIP5 (Coupled Model Intercomparison Project—Phase 5) high-resolution ensemble projections of near-term climate for the Upper Thu Bon catchment in Vietnam. Model bias correction techniques are utilized to improve the daily rainfall simulated by the multi-model climate experiments. The corrected rainfall is then used to drive a calibrated supper-tank model for runoff simulations. The flood extremes are analyzed based on the Gumbel extreme value distribution and simulation of design hydrograph methods. Results show that the former method indicates almost no changes in the flood extremes in the future compared to the baseline climate. However, the later method explores increases (approximately 20%) in the peaks of very extreme events in the future climate, especially, the flood peak of a 50-year return period tends to exceed the flood peak of a 100-year return period of the baseline climate. Meanwhile, the peaks of shorter return period floods (e.g., 10-year) are projected with a very slight change. Model physical parameterization schemes and spatial resolution seem to cause larger uncertainties; while different model runs show less sensitivity to the future projections.

Estimations of Hazardous Convective Weather in the United States Using Dynamical Downscaling

2014 ◽  
Vol 27 (17) ◽  
pp. 6581-6589 ◽  
Author(s):  
Vittorio A. Gensini ◽  
Thomas L. Mote
Keyword(s):  
United States ◽  
High Resolution ◽  
Climate Model ◽  
Dynamical Downscaling ◽  
Global Climate Model ◽  
Regional Climate ◽  
The United States ◽  
Regional Model ◽  
Severe Weather ◽  
Convective Weather

Abstract High-resolution (4 km; hourly) regional climate modeling is utilized to resolve March–May hazardous convective weather east of the U.S. Continental Divide for a historical climate period (1980–90). A hazardous convective weather model proxy is used to depict occurrences of tornadoes, damaging thunderstorm wind gusts, and large hail at hourly intervals during the period of record. Through dynamical downscaling, the regional climate model does an admirable job of replicating the seasonal spatial shifts of hazardous convective weather occurrence during the months examined. Additionally, the interannual variability and diurnal progression of observed severe weather reports closely mimic cycles produced by the regional model. While this methodology has been tested in previous research, this is the first study to use coarse-resolution global climate model data to force a high-resolution regional model with continuous seasonal integration in the United States for purposes of resolving severe convection. Overall, it is recommended that dynamical downscaling play an integral role in measuring climatological distributions of severe weather, both in historical and future climates.

Transient high-resolution regional climate simulation for Greece over the period 1960-2100: evaluation and future projections

2015 ◽  
Vol 64 (2) ◽  
pp. 123-140 ◽  
Author(s):  
P Zanis ◽  
E Katragkou ◽  
C Ntogras ◽  
G Marougianni ◽  
A Tsikerdekis ◽  
...  
Keyword(s):  
High Resolution ◽  
Regional Climate ◽  
Climate Simulation ◽  
Regional Climate Simulation ◽  
Future Projections

MULTI-ORDER HYDROLOGIC POSITION: A HIGH-RESOLUTION DATASET FOR THE CONTERMINOUS UNITED STATES

2018 ◽  
Author(s):  
Kenneth Belitz ◽  
◽  
Richard B. Moore ◽  
T.L. Arnold ◽  
J.B. Sharpe ◽  
...  
Keyword(s):  
United States ◽  
High Resolution ◽  
Resolution Dataset
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