ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Google Scholar citation report
Citations : 5125

Journal of Earth Science & Climatic Change received 5125 citations as per Google Scholar report

Journal of Earth Science & Climatic Change peer review process verified at publons
Indexed In
  • CAS Source Index (CASSI)
  • Index Copernicus
  • Google Scholar
  • Sherpa Romeo
  • Online Access to Research in the Environment (OARE)
  • Open J Gate
  • Genamics JournalSeek
  • JournalTOCs
  • Ulrich's Periodicals Directory
  • Access to Global Online Research in Agriculture (AGORA)
  • Centre for Agriculture and Biosciences International (CABI)
  • RefSeek
  • Hamdard University
  • EBSCO A-Z
  • OCLC- WorldCat
  • Proquest Summons
  • SWB online catalog
  • Publons
  • Euro Pub
  • ICMJE
Share This Page

Forecasting about variations of hydro-meteorogical variables in the future using SVAT model and RCP scenarios

World Conference on Climate Change

Daeun Kim Kiyoung Kim and Minha Choi

Hanyang University, Korea Sungkyunkwan University, Korea

Posters & Accepted Abstracts: J Earth Sci Clim Change

DOI: 10.4172/2157-7617.C1.028

Abstract
Climate change is one of the urgent problems in various fields such as politics, economy, society, and culture, which is what we have to conquer. The climate change also have influenced on water resources which was closely related with human life. Especially, the water management is mightily significant issue for maintenance of connection with climate system, human society and environment. Thus, the forecasting of climate change effect in water resources is important to prepare the various risks of it. For the forecasting about variations of hydro-meteorological variables in the future, the Soil-Vegetation-Atmospheric Transfers (SVAT) models have been widely used because of its accuracy. Among them, the Common Land Model (CLM) is advanced SVAT model that often utilized to estimate hydro-meteorological variables in water resources. In addition, the Representative Concentration Pathway (RCP) scenarios that were introduced by Intergovernmental Panel on Climate Change (IPCC) were employed to research the future variations. In this study, we identified the variations of major energy fluxes such as net radiation, sensible heat flux, and latent heat flux in the past and future in East Asia. The energy fluxes were estimated using CLM and historical data, RCP 4.5 and RCP 8.5 scenarios which were selected to represent the differences between each scenario. The estimated energy fluxes were analyzed according to climatic regions which were classified by K�?¶ppen and Geiger. The results using CLM and RCP scenarios were compared with in-situ data and each otherâ�?�?s and were showed time series of estimated energy fluxes according to climatic regions.
Biography

Daeun Kim has completed her PhD in 2016 from Hanyang University and Post-doctoral studies from Sungkyunkwan University. Her Director is Dr. Minha Choi in graduated school of water resources.

Email: daeunkim@skku.edu

Top