PMID- 28317010
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20170814
LR  - 20181113
IS  - 1537-744X (Electronic)
IS  - 2356-6140 (Print)
IS  - 1537-744X (Linking)
VI  - 2017
DP  - 2017
TI  - Statistical Downscaling for Rainfall Forecasts Using Modified Constructed Analog 
      Method in Thailand.
PG  - 1075868
LID - 10.1155/2017/1075868 [doi]
LID - 1075868
AB  - The simulations of rainfall from historical data were created in this study by 
      using statistical downscaling. Statistical downscaling techniques are based on a 
      relationship between the variables that are solved by the General Circulation 
      Models (GCMs) and the observed predictions. The Modified Constructed Analog 
      Method (MCAM) is a technique in downscaling estimation, suitable for rainfall 
      simulation accuracy using weather forecasting. In this research, the MCAM was 
      used to calculate the Euclidean distance to obtain the number of analog days. 
      Afterwards, a linear combination of 30 analog days is created with simulated 
      rainfall data which are determined by the corresponding 5 days from the adjusted 
      weights of the appropriate forecast day. This method is used to forecast the 
      daily rainfall and was received from the Thai Meteorological Department (TMD) 
      from the period during 1979 to 2010 at thirty stations. The experiment involved 
      the use of rainfall forecast data that was combined with the historical data 
      during the rainy season in 2010. The result showed that the MCAM gave the 
      correlation value of 0.8 resulting in a reduced percentage error of 13.66%. The 
      MCAM gave the value of 1094.10 mm which was the closest value to the observed 
      precipitation of 1119.53 mm.
FAU - Anuchaivong, Patchalai
AU  - Anuchaivong P
AD  - Department of Mathematics, Faculty of Science, King Mongkut's University of 
      Technology Thonburi (KMUTT), 126 Pracha Uthit Road, Bang Mod, Thung Khru, Bangkok 
      10140, Thailand.
FAU - Sukawat, Dusadee
AU  - Sukawat D
AD  - The Joint Graduate School of Energy and Environment, King Mongkut's University of 
      Technology Thonburi (KMUTT), 126 Pracha Uthit Road, Bang Mod, Thung Khru, Bangkok 
      10140, Thailand.
FAU - Luadsong, Anirut
AU  - Luadsong A
AUID- ORCID: 0000-0001-5211-2379
AD  - Department of Mathematics, Faculty of Science, King Mongkut's University of 
      Technology Thonburi (KMUTT), 126 Pracha Uthit Road, Bang Mod, Thung Khru, Bangkok 
      10140, Thailand; Ratchaburi Learning Park, King Mongkut's University of 
      Technology Thonburi (KMUTT), Rang Bua, Chom Bueng, Ratchaburi 70150, Thailand.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20170220
PL  - United States
TA  - ScientificWorldJournal
JT  - TheScientificWorldJournal
JID - 101131163
PMC - PMC5338072
COIS- The authors declare that there are no competing interests regarding the 
      publication of this paper.
EDAT- 2017/03/21 06:00
MHDA- 2017/03/21 06:01
PMCR- 2017/02/20
CRDT- 2017/03/21 06:00
PHST- 2016/10/05 00:00 [received]
PHST- 2016/12/23 00:00 [revised]
PHST- 2017/01/23 00:00 [accepted]
PHST- 2017/03/21 06:00 [entrez]
PHST- 2017/03/21 06:00 [pubmed]
PHST- 2017/03/21 06:01 [medline]
PHST- 2017/02/20 00:00 [pmc-release]
AID - 10.1155/2017/1075868 [doi]
PST - ppublish
SO  - ScientificWorldJournal. 2017;2017:1075868. doi: 10.1155/2017/1075868. Epub 2017 
      Feb 20.