scholarly journals Identifying weather regimes for regional‐scale stochastic weather generators

2020 ◽  
Author(s):  
Nasser Najibi ◽  
Sudarshana Mukhopadhyay ◽  
Scott Steinschneider
Keyword(s):  
Regional Scale ◽  
Weather Regimes ◽  
Weather Generators ◽  
Stochastic Weather Generators

scholarly journals Comparative Study of Different Stochastic Weather Generators for Long-Term Climate Data Simulation

Climate ◽  
2017 ◽  
Vol 5 (2) ◽  
pp. 26 ◽  
Author(s):  
Sushant Mehan ◽  
Tian Guo ◽  
Margaret Gitau ◽  
Dennis C. Flanagan
Keyword(s):  
Comparative Study ◽  
Climate Data ◽  
Data Simulation ◽  
Weather Generators ◽  
Stochastic Weather Generators

scholarly journals Comparison of LARS-WG and AAFC-WG stochastic weather generators for diverse Canadian climates

2004 ◽  
Vol 26 ◽  
pp. 175-191 ◽  
Author(s):  
B Qian ◽  
S Gameda ◽  
H Hayhoe ◽  
R De Jong ◽  
A Bootsma
Keyword(s):  
Weather Generators ◽  
Stochastic Weather Generators

Observed Rainfall Trends over Singapore and the Maritime Continent from the Perspective of Regional-Scale Weather Regimes

2019 ◽  
Vol 58 (2) ◽  
pp. 365-384 ◽  
Author(s):  
Muhammad E. E. Hassim ◽  
Bertrand Timbal
Keyword(s):  
Rainfall Variability ◽  
Regional Scale ◽  
Seasonal Migration ◽  
Specific Humidity ◽  
Annual Rainfall ◽  
Maritime Continent ◽  
Weather Regimes ◽  
Australian Monsoon ◽  
Frequency Changes ◽  
Circulation Changes

AbstractStraddling the Asian–Australian monsoon region, the Maritime Continent (MC) experiences substantial rainfall variations from diurnal to interannual and longer time scales. In this study, rainfall over Singapore and the wider MC region are analyzed using objectively identified weather regimes. Eight regional-scale weather regimes are derived by k-means clustering of local vertical profiles of zonal and meridional winds, temperature, and specific humidity extracted over Singapore from ERA-Interim data for the period December 1980–November 2014. The composite synoptic flow and rainfall patterns over the region show that the weather regimes correspond to the seasonal migration of the intertropical convergence zone (ITCZ) across the equator. For Singapore, the regimes depict seasonal rainfall variability by capturing the alternating dry and wet phases of the prevailing local monsoon and transition periods associated with the regional-scale ITCZ movement. Following previous work, the regimes are used to examine the annual rainfall trend by calculating the contributions due to 1) changes in regime frequency, indicating regional-scale circulation changes, and 2) changes in within-regime precipitation, indicating altered thermodynamic conditions. The overall trend observed at Singapore and many other MC locations is overwhelmingly due to changes in within-regime precipitation. However, the overall trend masks the larger contribution resulting from regime frequency changes as these circulation changes tend to offset one another in reality. In many MC areas (including Singapore), summed rainfall changes due to regime frequency changes outweigh those due to changes in within-regime rainfall, when aggregated in an absolute sense.

scholarly journals Quantifying Uncertainty Due to Stochastic Weather Generators in Climate Change Impact Studies

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Fosco M. Vesely ◽  
Livia Paleari ◽  
Ermes Movedi ◽  
Gianni Bellocchi ◽  
Roberto Confalonieri
Keyword(s):  
Climate Change ◽  
Climate Change Impact ◽  
Impact Studies ◽  
Weather Generators ◽  
Change Impact ◽  
Stochastic Weather Generators ◽  
Quantifying Uncertainty
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