Regional Models

2000 ◽  
pp. 403-418 ◽  
Author(s):  
M. Deque
Keyword(s):  
Regional Models

(Local and Regional Models Rural Development)

2013 ◽  
Author(s):  
Alexander Michailovich Nikulin ◽  
Irina trocuk ◽  
A. A. Kurakin
Keyword(s):  
Rural Development ◽  
Regional Models

scholarly journals Projected future daily characteristics of African precipitation based on global (CMIP5, CMIP6) and regional (CORDEX, CORDEX-CORE) climate models

2021 ◽  
Author(s):  
Alessandro Dosio ◽  
Martin W. Jury ◽  
Mansour Almazroui ◽  
Moetasim Ashfaq ◽  
Ismaila Diallo ◽  
...  
Keyword(s):  
East Africa ◽  
Southern Africa ◽  
Climate Models ◽  
Precipitation Intensity ◽  
Regional Models ◽  
The West ◽  
Precipitation Frequency ◽  
Global Models ◽  
Dry Spells ◽  
Precipitation Characteristics

AbstractWe provide an assessment of future daily characteristics of African precipitation by explicitly comparing the results of large ensembles of global (CMIP5, CMIP6) and regional (CORDEX, CORE) climate models, specifically highlighting the similarities and inconsistencies between them. Results for seasonal mean precipitation are not always consistent amongst ensembles: in particular, global models tend to project a wetter future compared to regional models, especially over the Eastern Sahel, Central and East Africa. However, results for other precipitation characteristics are more consistent. In general, all ensembles project an increase in maximum precipitation intensity during the wet season over all regions and emission scenarios (except the West Sahel for CORE) and a decrease in precipitation frequency (under the Representative Concentration Pathways RCP8.5) especially over the West Sahel, the Atlas region, southern central Africa, East Africa and southern Africa. Depending on the season, the length of dry spells is projected to increase consistently by all ensembles and for most (if not all) models over southern Africa, the Ethiopian highlands and the Atlas region. Discrepancies exist between global and regional models on the projected change in precipitation characteristics over specific regions and seasons. For instance, over the Eastern Sahel in July–August most global models show an increase in precipitation frequency but regional models project a robust decrease. Global and regional models also project an opposite sign in the change of the length of dry spells. CORE results show a marked drying over the regions affected by the West Africa monsoon throughout the year, accompanied by a decrease in mean precipitation intensity between May and July that is not present in the other ensembles. This enhanced drying may be related to specific physical mechanisms that are better resolved by the higher resolution models and highlights the importance of a process-based evaluation of the mechanisms controlling precipitation over the region.

Initial-boundary compatibility for inverse regional models

2004 ◽  
Vol 56 (2) ◽  
pp. 141-153
Author(s):  
JULIA C. MUCCINO ◽  
ANDREW F. BENNETT
Keyword(s):  
Initial Boundary ◽  
Regional Models

Unus Pro Omnibus, Omnes Pro Uno

2021 ◽  
pp. 1-30
Author(s):  
Tommaso Natoli
Keyword(s):  
Comparative Analysis ◽  
Disaster Management ◽  
Regional Models ◽  
Catastrophic Event ◽  
Regional Organizations ◽  
Common Trends ◽  
Regional Institutions ◽  
Legal Frameworks

Abstract Neighbouring States form regional institutions for purposes that they cannot meet singularly, as in case of exceptional events that overwhelm national capacities. Comparing regional organizations endowed with specific Disaster Management (dm) functions provides a suitable analytical lens of this phenomenon, being a means for exploring how fundamental principles like sovereignty or solidarity are differently combined within their legal frameworks. Building on a comparative analysis of two regional models (eu and asean-aha), the article suggests that the positioning of regional organizations on the sovereignty-solidarity axis is facilitated by an adapted use of the well-known Latin maxim ‘unus pro omnibus, omnes pro uno’. This indicates both dynamics in which the organization is endowed with autonomous capacities of acting in support of members stricken by a catastrophic event, and those regional mechanisms whose functioning depends on the case-by-case involvement of their membership. As will be maintained, whereas these interrelated dynamics coexist in the two organizations analysed, they are differently modelled according to the respective regulatory settings. Yet, common trends in the development of respective institutional functioning can be detected.

scholarly journals Verification of Forecast Weather Surface Variables over Vietnam Using the National Numerical Weather Prediction System

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Tien Du Duc ◽  
Lars Robert Hole ◽  
Duc Tran Anh ◽  
Cuong Hoang Duc ◽  
Thuy Nguyen Ba
Keyword(s):  
Numerical Weather Prediction ◽  
Weather Prediction ◽  
Model Performance ◽  
Wrf Model ◽  
Horizontal Resolution ◽  
Prediction System ◽  
Regional Models ◽  
Global Spectral Model ◽  
Numerical Weather ◽  
The Us

The national numerical weather prediction system of Vietnam is presented and evaluated. The system is based on three main models, namely, the Japanese Global Spectral Model, the US Global Forecast System, and the US Weather Research and Forecasting (WRF) model. The global forecast products have been received at 0.25- and 0.5-degree horizontal resolution, respectively, and the WRF model has been run locally with 16 km horizontal resolution at the National Center for Hydro-Meteorological Forecasting using lateral conditions from GSM and GFS. The model performance is evaluated by comparing model output against observations of precipitation, wind speed, and temperature at 168 weather stations, with daily data from 2010 to 2014. In general, the global models provide more accurate forecasts than the regional models, probably due to the low horizontal resolution in the regional model. Also, the model performance is poorer for stations with altitudes greater than 500 meters above sea level (masl). For tropical cyclone performance validations, the maximum wind surface forecast from global and regional models is also verified against the best track of Joint Typhoon Warning Center. Finally, the model forecast skill during a recent extreme rain event in northeast Vietnam is evaluated.

REGIONAL MODELS AND ECONOMIC PLANNING

2005 ◽  
Vol 16 (1) ◽  
pp. 43-61
Author(s):  
Krzysztof Porwit
Keyword(s):  
Economic Planning ◽  
Regional Models

scholarly journals Operational ocean models in the Adriatic Sea: a skill assessment

Ocean Science ◽  
2008 ◽  
Vol 4 (1) ◽  
pp. 61-71 ◽  
Author(s):  
J. Chiggiato ◽  
P. Oddo
Keyword(s):  
General Circulation ◽  
Mean Squared Error ◽  
Three Dimensional ◽  
Circulation Model ◽  
Remote Sensing Data ◽  
Skill Assessment ◽  
Regional Models ◽  
Operational Systems ◽  
Forecasting System ◽  
The Mediterranean

Abstract. In the framework of the Mediterranean Forecasting System (MFS) project, the performance of regional numerical ocean forecasting systems is assessed by means of model-model and model-data comparison. Three different operational systems considered in this study are: the Adriatic REGional Model (AREG); the Adriatic Regional Ocean Modelling System (AdriaROMS) and the Mediterranean Forecasting System General Circulation Model (MFS-GCM). AREG and AdriaROMS are regional implementations (with some dedicated variations) of POM and ROMS, respectively, while MFS-GCM is an OPA based system. The assessment is done through standard scores. In situ and remote sensing data are used to evaluate the system performance. In particular, a set of CTD measurements collected in the whole western Adriatic during January 2006 and one year of satellite derived sea surface temperature measurements (SST) allow to asses a full three-dimensional picture of the operational forecasting systems quality during January 2006 and to draw some preliminary considerations on the temporal fluctuation of scores estimated on surface quantities between summer 2005 and summer 2006. The regional systems share a negative bias in simulated temperature and salinity. Nonetheless, they outperform the MFS-GCM in the shallowest locations. Results on amplitude and phase errors are improved in areas shallower than 50 m, while degraded in deeper locations, where major models deficiencies are related to vertical mixing overestimation. In a basin-wide overview, the two regional models show differences in the local displacement of errors. In addition, in locations where the regional models are mutually correlated, the aggregated mean squared error was found to be smaller, that is a useful outcome of having several operational systems in the same region.

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