PMID- 36087169
OWN - NLM
STAT- MEDLINE
DCOM- 20220913
LR  - 20220913
IS  - 1573-2959 (Electronic)
IS  - 0167-6369 (Linking)
VI  - 194
IP  - 10
DP  - 2022 Sep 10
TI  - Statistical downscaling of sea levels: application of multi-criteria analysis for 
      selection of global climate models.
PG  - 764
LID - 10.1007/s10661-022-10449-2 [doi]
AB  - Sea level rise is one of the serious aftermaths of global warming on the 
      hydrosphere. The scientific community often depends on global climate models 
      (GCMs) for projection of future sea levels. Numerous GCMs are available; thus, 
      selecting the most appropriate GCM/GCMs is a critical task to be performed prior 
      to downscaling. In this study, multi-criteria decision-making (MCDM) techniques, 
      namely, Preference Ranking Organisation Method of Enrichment Evaluation 
      (PROMETHEE-II), Elimination Et Choice Translating Reality (ELECTRE-II), and 
      compromise programming, were used to identify appropriate GCMs whose projections 
      can be used to downscale sea level projections at Ernakulam, Kerala, India. 
      Support vector machine was employed to statistically downscale the sea level 
      projections from the projections of GCMs. Five statistical metrics, namely, 
      correlation coefficient ([Formula: see text]), normalized root mean square error, 
      absolute normalized average bias, mean absolute relative error, and skill score, 
      were adopted in this study as the performance criteria. The weightage of each 
      criterion was computed using the entropy method. Six GCMs (GISS-E2-H, CanESM2, 
      ACCESS1-0, CNRM-CM5, GFDL-CM3, and CMCC-CM) were considered for the analysis 
      based on the availability of predictors. GISS-E2-H, CanESM2, and ACCESS1-0 
      occupied the first three positions respectively in all three MCDM techniques.
CI  - (c) 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
FAU - Sithara, S
AU  - Sithara S
AUID- ORCID: 0000-0003-0784-0646
AD  - Department of Civil Engineering, National Institute of Technology Calicut, 
      Kozhikode, Kerala, 673601, India. sitharasasidharan5@gmail.com.
FAU - Pramada, S K
AU  - Pramada SK
AD  - Department of Civil Engineering, National Institute of Technology Calicut, 
      Kozhikode, Kerala, 673601, India.
FAU - Thampi, Santosh G
AU  - Thampi SG
AD  - Department of Civil Engineering, National Institute of Technology Calicut, 
      Kozhikode, Kerala, 673601, India.
LA  - eng
PT  - Journal Article
DEP - 20220910
PL  - Netherlands
TA  - Environ Monit Assess
JT  - Environmental monitoring and assessment
JID - 8508350
SB  - IM
MH  - *Climate Change
MH  - *Climate Models
MH  - Environmental Monitoring
MH  - Forecasting
MH  - Global Warming
OTO - NOTNLM
OT  - Compromise programming
OT  - ELECTRE
OT  - PROMETHEE
OT  - SVM
OT  - Sea level
OT  - Statistical downscaling
EDAT- 2022/09/11 06:00
MHDA- 2022/09/14 06:00
CRDT- 2022/09/10 11:16
PHST- 2022/01/24 00:00 [received]
PHST- 2022/08/30 00:00 [accepted]
PHST- 2022/09/10 11:16 [entrez]
PHST- 2022/09/11 06:00 [pubmed]
PHST- 2022/09/14 06:00 [medline]
AID - 10.1007/s10661-022-10449-2 [pii]
AID - 10.1007/s10661-022-10449-2 [doi]
PST - epublish
SO  - Environ Monit Assess. 2022 Sep 10;194(10):764. doi: 10.1007/s10661-022-10449-2.