Correcting bias of satellite rainfall data using physical empirical model

The provision of high resolution near real-time rainfall data has made satellite rainfall products very potential for monitoring hydrological hazards. However, a major challenge in their direct-use can be problematic due to measurement error. In this study, an attempt was made to correct the bias of...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Atmospheric research Ročník 251; s. 105430
Hlavní autoři:	Ziarh, Ghaith Falah, Shahid, Shamsuddin, Ismail, Tarmizi Bin, Asaduzzaman, Md, Dewan, Ashraf
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.04.2021
Témata:	algorithms Bias correction case studies empirical models Ensemble learning algorithm hydrometeorology Malaysia meteorological data Near-real-time rainfall Physical-empirical model rain Satellite precipitation satellites time series analysis topography wind speed Malaysia Ensemble learning algorithm Bias correction Satellite precipitation Near-real-time rainfall Physical-empirical model
ISSN:	0169-8095, 1873-2895
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Abstract	The provision of high resolution near real-time rainfall data has made satellite rainfall products very potential for monitoring hydrological hazards. However, a major challenge in their direct-use can be problematic due to measurement error. In this study, an attempt was made to correct the bias of Global Satellite Mapping of Precipitation near-real-time (GSMaP_NRT) product. Physical factors, including topography, season, windspeed and cloud types were accounted for correcting bias. Peninsular Malaysia was used as the case study area. Gridded rainfall, developed from 80 gauges for the period 2000–2018, was used along with physical factors in a two-stage procedure. The model consisted of a classifier to categorise rainfall of different intensity and regression models to predict rainfall amount of different intensity class. An ensemble tree-based learning algorithm, called random forest, was used for classification and regression. The results revealed a big improvement of near-real-time GSMaP_NRT product after bias correction (GSMaP_BC) compared to the gauge corrected version (GSMaP_GC). Accuracy evaluation for complete timeseries indicated about 110% reduction of normalized root-mean-square error (NRMSE) in GSMaP_BC (0.8) compared to GSMaP_NRT (1.7) and GSMaP_GC (1.75). On the other hand, the bias of GSMaP_BC became nearly zero (0.3) compared to 2.1 and − 3.1 for GSMaP_NRT and GSMaP_GC products. The spatial correlation of GSMaP_BC was >0.7 with observed rainfall data for all months compared to 0.2–0.78 for GSMaP_NRT and GSMaP_GC, indicating capability of GSMaP_BC to replicate spatial pattern of rainfall. The bias-corrected near-real-time GSMaP data can be used for monitoring and forecasting floods and hydrological phenomena in the absence of dense rain-gauge network in areas, frequently experience hydro-meteorological hazards. •Multiple factors are used for bias correction of satellite rainfall data.•A two-stage bias correction based on classification and regression is proposed.•Performance is assessed in correcting both temporal and spatial biases.•Random Forest is used to implement the method in peninsular Malaysia.
AbstractList	The provision of high resolution near real-time rainfall data has made satellite rainfall products very potential for monitoring hydrological hazards. However, a major challenge in their direct-use can be problematic due to measurement error. In this study, an attempt was made to correct the bias of Global Satellite Mapping of Precipitation near-real-time (GSMaP_NRT) product. Physical factors, including topography, season, windspeed and cloud types were accounted for correcting bias. Peninsular Malaysia was used as the case study area. Gridded rainfall, developed from 80 gauges for the period 2000–2018, was used along with physical factors in a two-stage procedure. The model consisted of a classifier to categorise rainfall of different intensity and regression models to predict rainfall amount of different intensity class. An ensemble tree-based learning algorithm, called random forest, was used for classification and regression. The results revealed a big improvement of near-real-time GSMaP_NRT product after bias correction (GSMaP_BC) compared to the gauge corrected version (GSMaP_GC). Accuracy evaluation for complete timeseries indicated about 110% reduction of normalized root-mean-square error (NRMSE) in GSMaP_BC (0.8) compared to GSMaP_NRT (1.7) and GSMaP_GC (1.75). On the other hand, the bias of GSMaP_BC became nearly zero (0.3) compared to 2.1 and − 3.1 for GSMaP_NRT and GSMaP_GC products. The spatial correlation of GSMaP_BC was >0.7 with observed rainfall data for all months compared to 0.2–0.78 for GSMaP_NRT and GSMaP_GC, indicating capability of GSMaP_BC to replicate spatial pattern of rainfall. The bias-corrected near-real-time GSMaP data can be used for monitoring and forecasting floods and hydrological phenomena in the absence of dense rain-gauge network in areas, frequently experience hydro-meteorological hazards. •Multiple factors are used for bias correction of satellite rainfall data.•A two-stage bias correction based on classification and regression is proposed.•Performance is assessed in correcting both temporal and spatial biases.•Random Forest is used to implement the method in peninsular Malaysia. The provision of high resolution near real-time rainfall data has made satellite rainfall products very potential for monitoring hydrological hazards. However, a major challenge in their direct-use can be problematic due to measurement error. In this study, an attempt was made to correct the bias of Global Satellite Mapping of Precipitation near-real-time (GSMaP_NRT) product. Physical factors, including topography, season, windspeed and cloud types were accounted for correcting bias. Peninsular Malaysia was used as the case study area. Gridded rainfall, developed from 80 gauges for the period 2000–2018, was used along with physical factors in a two-stage procedure. The model consisted of a classifier to categorise rainfall of different intensity and regression models to predict rainfall amount of different intensity class. An ensemble tree-based learning algorithm, called random forest, was used for classification and regression. The results revealed a big improvement of near-real-time GSMaP_NRT product after bias correction (GSMaP_BC) compared to the gauge corrected version (GSMaP_GC). Accuracy evaluation for complete timeseries indicated about 110% reduction of normalized root-mean-square error (NRMSE) in GSMaP_BC (0.8) compared to GSMaP_NRT (1.7) and GSMaP_GC (1.75). On the other hand, the bias of GSMaP_BC became nearly zero (0.3) compared to 2.1 and − 3.1 for GSMaP_NRT and GSMaP_GC products. The spatial correlation of GSMaP_BC was >0.7 with observed rainfall data for all months compared to 0.2–0.78 for GSMaP_NRT and GSMaP_GC, indicating capability of GSMaP_BC to replicate spatial pattern of rainfall. The bias-corrected near-real-time GSMaP data can be used for monitoring and forecasting floods and hydrological phenomena in the absence of dense rain-gauge network in areas, frequently experience hydro-meteorological hazards.
ArticleNumber	105430
Author	Asaduzzaman, Md Dewan, Ashraf Shahid, Shamsuddin Ziarh, Ghaith Falah Ismail, Tarmizi Bin
Author_xml	– sequence: 1 givenname: Ghaith Falah surname: Ziarh fullname: Ziarh, Ghaith Falah organization: Department of Water and Environmental Engineering, School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia – sequence: 2 givenname: Shamsuddin surname: Shahid fullname: Shahid, Shamsuddin email: sshahid@utm.my organization: Department of Water and Environmental Engineering, School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia – sequence: 3 givenname: Tarmizi Bin surname: Ismail fullname: Ismail, Tarmizi Bin email: tarmiziismail@utm.my organization: Department of Water and Environmental Engineering, School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia – sequence: 4 givenname: Md surname: Asaduzzaman fullname: Asaduzzaman, Md email: md.asaduzzaman@staffs.ac.uk organization: Department of Engineering, School of Digital, Technologies and Arts, Staffordshire University, Stoke-on-Trent ST4 2DE, UK – sequence: 5 givenname: Ashraf surname: Dewan fullname: Dewan, Ashraf email: a.dewan@curtin.edu.au organization: Spatial Sciences Discipline, School of Earth and Planetary Sciences, Curtin University, Perth, WA 6102, Australia
BookMark	eNqFkLFOwzAQhi1UJNrCK6CMLCl2HCexxACqKFSqxAKz5ThncJXEwXaR-vY4BBaWTnc6ff_p7lugWW97QOia4BXBpLjdr2TorHfgVxnOxiHLKT5Dc1KVNM0qzmZoHkGeVpizC7Twfo8xZjjnc7RdW-dABdO_J7WRPrE68TJA25oAiZOm17Jtk0YGmRz8SA0fR2-UbBPoBuN-us420F6i84h6uPqtS_S2eXxdP6e7l6ft-mGXKpqzkCqoGRRQ81JXGecZKE4JZJWOx5KaSk5yTQvONa4bktOyLIgusSobyYtSNYwu0c20d3D28wA-iM54FQ-WPdiDFxljhOe4yHFE7yZUOeujIC2UCTIY24f4WSsIFqNBsRd_BsVoUEwGY7z4Fx-c6aQ7ng7eT0GIHr4MOOGVgV5BY0bXorHm1IpvHAiR8A
CitedBy_id	crossref_primary_10_3390_w15050852 crossref_primary_10_1016_j_atmosres_2025_108317 crossref_primary_10_1016_j_scs_2022_103951 crossref_primary_10_1029_2021EA002043 crossref_primary_10_1007_s00704_022_04076_7 crossref_primary_10_1016_j_atmosres_2022_106403 crossref_primary_10_1016_j_atmosres_2025_108197 crossref_primary_10_1016_j_atmosres_2024_107637 crossref_primary_10_1080_02626667_2025_2549422 crossref_primary_10_1038_s41597_022_01568_z crossref_primary_10_1155_2021_9979216 crossref_primary_10_3390_w17172626 crossref_primary_10_1016_j_atmosres_2022_106159 crossref_primary_10_1016_j_jhydrol_2025_132801 crossref_primary_10_1007_s00170_022_09471_y crossref_primary_10_3390_w16010049 crossref_primary_10_1016_j_jhydrol_2024_131195 crossref_primary_10_3389_fenvs_2022_832427 crossref_primary_10_1007_s13143_025_00393_9 crossref_primary_10_1016_j_scs_2024_105610 crossref_primary_10_2166_wcc_2023_457 crossref_primary_10_1016_j_jhydrol_2022_127656
Cites_doi	10.1016/j.inffus.2015.06.005 10.3390/w10121750 10.1023/A:1018054314350 10.3130/jaabe.5.199 10.3390/rs70201504 10.1002/2015JD024540 10.1016/j.jhydrol.2019.05.020 10.4236/jwarp.2012.47055 10.1016/j.atmosres.2018.07.022 10.3390/rs11050555 10.1029/2018GL077994 10.1016/j.atmosres.2020.104964 10.1007/s13143-019-00152-7 10.3390/rs10060882 10.1186/s40645-019-0297-7 10.1016/j.atmosres.2020.105007 10.2151/jmsj.87A.137 10.3390/su10072182 10.1155/2017/1803492 10.1007/s12517-018-3860-4 10.1016/j.atmosres.2019.104720 10.1016/j.jhydrol.2017.11.050 10.1002/qj.3335 10.1007/s00704-018-2498-1 10.1007/s12040-015-0639-9 10.1016/j.atmosres.2020.105061 10.1023/A:1010933404324 10.1016/0022-1694(70)90255-6 10.1109/LGRS.2018.2815590 10.1080/01431161.2018.1433890 10.1175/JHM-D-18-0190.1 10.1175/JHM-D-17-0025.1 10.3390/su11164267 10.1108/IJCCSM-01-2016-0001 10.1080/01431161.2018.1539274 10.1080/01431161.2019.1569786 10.1016/j.atmosres.2017.08.002 10.3390/su10030871 10.2166/nh.2017.263 10.5194/gmd-13-5007-2020 10.3390/rs11232840 10.3390/hydrology6040095 10.2166/wcc.2018.159 10.1175/JAMC-D-16-0332.1 10.1080/02723646.1981.10642213 10.3390/s16060884 10.3390/rs11111345
ContentType	Journal Article
Copyright	2020 Elsevier B.V.
Copyright_xml	– notice: 2020 Elsevier B.V.
DBID	AAYXX CITATION 7S9 L.6
DOI	10.1016/j.atmosres.2020.105430
DatabaseName	CrossRef AGRICOLA AGRICOLA - Academic
DatabaseTitle	CrossRef AGRICOLA AGRICOLA - Academic
DatabaseTitleList	AGRICOLA
DeliveryMethod	fulltext_linktorsrc
Discipline	Meteorology & Climatology
EISSN	1873-2895
ExternalDocumentID	10_1016_j_atmosres_2020_105430 S0169809520313673
GeographicLocations	Malaysia
GeographicLocations_xml	– name: Malaysia
GroupedDBID	--K --M -~X .~1 0R~ 1B1 1RT 1~. 1~5 23N 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JM 9JN AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAXUO ABFYP ABLST ABMAC ABQEM ABQYD ABYKQ ACDAQ ACGFS ACLVX ACRLP ACSBN ADBBV ADEZE AEBSH AEKER AENEX AFKWA AFTJW AFXIZ AGHFR AGUBO AGYEJ AHEUO AHHHB AIEXJ AIKHN AITUG AJOXV AKIFW ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ ATOGT AXJTR BKOJK BLECG BLXMC CS3 EBS EFJIC EFLBG EO8 EO9 EP2 EP3 FDB FIRID FNPLU FYGXN G-Q GBLVA IHE IMUCA J1W KCYFY KOM LY3 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 ROL RPZ SDF SDG SDP SES SPC SPCBC SSE SSJ SSZ T5K ZMT ~02 ~G- 9DU AAHBH AAQXK AATTM AAXKI AAYWO AAYXX ABFNM ABJNI ABWVN ABXDB ACLOT ACRPL ACVFH ADCNI ADMUD ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION EFKBS EJD FEDTE FGOYB G-2 HMA HVGLF HZ~ R2- SEP SEW T9H WUQ ZY4 ~HD 7S9 L.6
ID	FETCH-LOGICAL-c345t-ceb5e6eb97f82992ec931e28f8731b3a914f3699f0bd1437761f70c7da967cd53
ISICitedReferencesCount	26
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000612174900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0169-8095
IngestDate	Sun Sep 28 08:35:36 EDT 2025 Sat Nov 29 07:27:10 EST 2025 Tue Nov 18 22:03:38 EST 2025 Fri Feb 23 02:48:18 EST 2024
IsPeerReviewed	true
IsScholarly	true
Keywords	Ensemble learning algorithm Bias correction Satellite precipitation Near-real-time rainfall Physical-empirical model
Language	English
LinkModel	OpenURL
MergedId	FETCHMERGED-LOGICAL-c345t-ceb5e6eb97f82992ec931e28f8731b3a914f3699f0bd1437761f70c7da967cd53
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
PQID	2551940640
PQPubID	24069
ParticipantIDs	proquest_miscellaneous_2551940640 crossref_citationtrail_10_1016_j_atmosres_2020_105430 crossref_primary_10_1016_j_atmosres_2020_105430 elsevier_sciencedirect_doi_10_1016_j_atmosres_2020_105430
PublicationCentury	2000
PublicationDate	2021-04-01 2021-04-00 20210401
PublicationDateYYYYMMDD	2021-04-01
PublicationDate_xml	– month: 04 year: 2021 text: 2021-04-01 day: 01
PublicationDecade	2020
PublicationTitle	Atmospheric research
PublicationYear	2021
Publisher	Elsevier B.V
Publisher_xml	– name: Elsevier B.V
References	Gebremedhin, Lubczynski, Maathuis, Teka (bb0070) 2020; 105135 Yang, Hsu, Sorooshian, Xu, Braithwaite, Verbist (bb0300) 2016; 121 Fern’andez-Delgado, M., Cerndas, E., Barro, S. (bb0065) 2014; 15 Ahmed, Shahid, Ali, Harun, Wang (bb0010) 2017; 1 Breiman (bb0030) 1996; 24 Schroeer, Kirchengast, Sungmin (bb6000) 2018; 45 Hassim, Yuzir, Razali, Ros, Chow, Othman (bb0085) 2020 Noor, Ismail, Chung, Shahid, Sung (bb0175) 2018; 10 Ma, Xiong, Xia, Xiong, Yang, Xu (bb0135) 2019; 11 Juneng, Tangang, Reason (bb0115) 2007; 98 Mastrantonas, Bhattacharya, Shibuo, Rasmy, Espinoza-Dávalos, Solomatine (bb0140) 2019; 20 Pour, Shahid, Chung (bb0195) 2017; 154 Nash, Sutcliffe (bb2000) 1970; 27 Zeng, Yong (bb0315) 2019; 74 Deng, Zhang, Guo, Xu, Bing, Jia (bb0055) 2018; 214 Sa’adi, Shahid, Chung, Ismail (bb0220) 2017; 197 Iqbal, Shahid, Ahmed, Ismail, Khan, Virk, Johar (bb4000) 2020; 245 Alharbi, Hsu, Sorooshian (bb0015) 2018; 11 Pour, Wahab, Shahid (bb0200) 2020; 233 Nashwan, Shahid, Chung, Ahmed, Song (bb0155) 2018; 10 Barthiban, Lloyd, Maier (bb0025) 2012; 4 Paska, Lau, Tan, Tan (bb0190) 2017 Nashwan, Shahid, Abd Rahim (bb0160) 2019; 136 Shiru, Shahid, Alias, Chung (bb0240) 2018; 10 Wong, Venneker, Uhienrook, Jamil, Zhou (bb0290) 2009; 6 Breiman (bb0035) 2001; 45 Chen, Yong, Shen, Liu, Hong, Zhang (bb0050) 2020 Nashwan, Shahid, Wang (bb0165) 2019; 11 Ji, Li, Luo, He, Guo, Wang, Bai, Yue, Liu (bb0105) 2020; 242 Suliman, Awchi, Al-Mola, Shahid (bb0250) 2020; 242 Ning, Song, Udmale, Jin, Thapa, Ishidaira (bb0170) 2017; 2017 Ma, Yang, Han, Tang, Maguire, Chu, Hong (bb0130) 2018; 556 Trinh-Tuan, Matsumoto, Ngo-Duc, Nodzu, Inoue (bb0270) 2019; 6 Chen, Yong, Gourley, Liu, Ren, Wang, Zhang (bb0045) 2019; 575 Noor, Ismail, Shahid, Asaduzzaman, Dewan (bb0180) 2020 Okamoto, Ushio, Iguchi, Takahashi, Iwanami (bb0185) 2005 Bhatti, Rientjes, Haile, Habib, Verhoef (bb5000) 2016; 16 Rokach (bb0215) 2016; 27 Joseph, Bhatt, Koh, Chen (bb0110) 2008; 113 Pratama, Buono, Hidayat, Harsa (bb0205) 2018; 149 Reddy, Mitra, Momin, Mitra, Pai (bb0210) 2019; 40 Ho (bb0090) 1995 Abdullah, Mohammad, Mohamad, Ahmad (bb0005) 2019 Rozante, Vila, Barboza Chiquetto, Fernandes, Souza Alvim (bb1000) 2018; 10 Saber, Yilmaz (bb0225) 2018; 10 Yeh, Chuang, Peng (bb0310) 2020; 56 Islam (bb0095) 2018; 39 Tan, Ibrahim, Duan, Cracknell, Chaplot (bb0260) 2015; 2015 Hashemi, Nordin, Lakshmi, Huffman, Knight (bb0080) 2017; 18 Chaudhary, Dhanya (bb0040) 2019 Yeh, Chuang, Peng, Hsu (bb0305) 2019 Shahid, Pour, Wang, Shourav, Minhans, Ismail (bb0230) 2017; 9 Ushio, Sasashige, Kubota, Shige, Okamoto, Aonashi (bb0275) 2009; 87A Muhammad, Nashwan, Shahid, Ismail, Song, Chung (bb0150) 2019; 2019 Soo, Jaafar, Lai, Islam, Srivastava (bb0245) 2019; 10 Mayowa, Pour, Shahid, Mohsenipour, Harun, Heryansyah, Ismail (bb0145) 2015; 124 Willmott (bb3000) 1981; 2 Gosset, Alcoba, Roca, Cloché, Urbani (bb0075) 2018; 144 Velasqeuez, Messmer, Raible (bb0285) 2020; 13 Yamamoto, Shige, Yu, Cheng (bb0295) 2017; 56 Shawky, Moussa, Hassan, El-Sheimy (bb0235) 2019; 11 Kubota, Ahmad (bb0120) 2006; 5 Tam, Abd Rahman, Harun, Hanapi, Kaoje (bb0255) 2019; 6 Aslami, Ghorbani, Sobhani, Esmali (bb0020) 2019; 40 Utsumi, Kim (bb0280) 2018; 15 Jamaludin, Suhaimi (bb0100) 2013; 63 Tan, Yong, Ren (bb0265) 2018; 49 Deng (10.1016/j.atmosres.2020.105430_bb0055) 2018; 214 Tam (10.1016/j.atmosres.2020.105430_bb0255) 2019; 6 Fern’andez-Delgado, M., Cerndas, E., Barro, S. (10.1016/j.atmosres.2020.105430_bb0065) 2014; 15 Saber (10.1016/j.atmosres.2020.105430_bb0225) 2018; 10 Bhatti (10.1016/j.atmosres.2020.105430_bb5000) 2016; 16 Paska (10.1016/j.atmosres.2020.105430_bb0190) 2017 Sa’adi (10.1016/j.atmosres.2020.105430_bb0220) 2017; 197 Gosset (10.1016/j.atmosres.2020.105430_bb0075) 2018; 144 Hashemi (10.1016/j.atmosres.2020.105430_bb0080) 2017; 18 Barthiban (10.1016/j.atmosres.2020.105430_bb0025) 2012; 4 Ji (10.1016/j.atmosres.2020.105430_bb0105) 2020; 242 Noor (10.1016/j.atmosres.2020.105430_bb0175) 2018; 10 Islam (10.1016/j.atmosres.2020.105430_bb0095) 2018; 39 Reddy (10.1016/j.atmosres.2020.105430_bb0210) 2019; 40 Breiman (10.1016/j.atmosres.2020.105430_bb0030) 1996; 24 Chaudhary (10.1016/j.atmosres.2020.105430_bb0040) 2019 Kubota (10.1016/j.atmosres.2020.105430_bb0120) 2006; 5 Chen (10.1016/j.atmosres.2020.105430_bb0045) 2019; 575 Rokach (10.1016/j.atmosres.2020.105430_bb0215) 2016; 27 Mastrantonas (10.1016/j.atmosres.2020.105430_bb0140) 2019; 20 Alharbi (10.1016/j.atmosres.2020.105430_bb0015) 2018; 11 Shawky (10.1016/j.atmosres.2020.105430_bb0235) 2019; 11 Yang (10.1016/j.atmosres.2020.105430_bb0300) 2016; 121 Trinh-Tuan (10.1016/j.atmosres.2020.105430_bb0270) 2019; 6 Zeng (10.1016/j.atmosres.2020.105430_bb0315) 2019; 74 Breiman (10.1016/j.atmosres.2020.105430_bb0035) 2001; 45 Juneng (10.1016/j.atmosres.2020.105430_bb0115) 2007; 98 Yamamoto (10.1016/j.atmosres.2020.105430_bb0295) 2017; 56 Noor (10.1016/j.atmosres.2020.105430_bb0180) 2020 Joseph (10.1016/j.atmosres.2020.105430_bb0110) 2008; 113 Ma (10.1016/j.atmosres.2020.105430_bb0135) 2019; 11 Hassim (10.1016/j.atmosres.2020.105430_bb0085) 2020 Shiru (10.1016/j.atmosres.2020.105430_bb0240) 2018; 10 Pratama (10.1016/j.atmosres.2020.105430_bb0205) 2018; 149 Abdullah (10.1016/j.atmosres.2020.105430_bb0005) 2019 Nashwan (10.1016/j.atmosres.2020.105430_bb0160) 2019; 136 Mayowa (10.1016/j.atmosres.2020.105430_bb0145) 2015; 124 Utsumi (10.1016/j.atmosres.2020.105430_bb0280) 2018; 15 Yeh (10.1016/j.atmosres.2020.105430_bb0310) 2020; 56 Rozante (10.1016/j.atmosres.2020.105430_bb1000) 2018; 10 Tan (10.1016/j.atmosres.2020.105430_bb0265) 2018; 49 Velasqeuez (10.1016/j.atmosres.2020.105430_bb0285) 2020; 13 Nashwan (10.1016/j.atmosres.2020.105430_bb0155) 2018; 10 Pour (10.1016/j.atmosres.2020.105430_bb0200) 2020; 233 Wong (10.1016/j.atmosres.2020.105430_bb0290) 2009; 6 Jamaludin (10.1016/j.atmosres.2020.105430_bb0100) 2013; 63 Gebremedhin (10.1016/j.atmosres.2020.105430_bb0070) 2020; 105135 Schroeer (10.1016/j.atmosres.2020.105430_bb6000) 2018; 45 Ma (10.1016/j.atmosres.2020.105430_bb0130) 2018; 556 Suliman (10.1016/j.atmosres.2020.105430_bb0250) 2020; 242 Iqbal (10.1016/j.atmosres.2020.105430_bb4000) 2020; 245 Ahmed (10.1016/j.atmosres.2020.105430_bb0010) 2017; 1 Willmott (10.1016/j.atmosres.2020.105430_bb3000) 1981; 2 Soo (10.1016/j.atmosres.2020.105430_bb0245) 2019; 10 Nashwan (10.1016/j.atmosres.2020.105430_bb0165) 2019; 11 Nash (10.1016/j.atmosres.2020.105430_bb2000) 1970; 27 Shahid (10.1016/j.atmosres.2020.105430_bb0230) 2017; 9 Pour (10.1016/j.atmosres.2020.105430_bb0195) 2017; 154 Aslami (10.1016/j.atmosres.2020.105430_bb0020) 2019; 40 Ning (10.1016/j.atmosres.2020.105430_bb0170) 2017; 2017 Tan (10.1016/j.atmosres.2020.105430_bb0260) 2015; 2015 Okamoto (10.1016/j.atmosres.2020.105430_bb0185) 2005 Chen (10.1016/j.atmosres.2020.105430_bb0050) 2020 Ho (10.1016/j.atmosres.2020.105430_bb0090) 1995 Muhammad (10.1016/j.atmosres.2020.105430_bb0150) 2019; 2019 Yeh (10.1016/j.atmosres.2020.105430_bb0305) 2019 Ushio (10.1016/j.atmosres.2020.105430_bb0275) 2009; 87A
References_xml	– volume: 113 year: 2008 ident: bb0110 article-title: Sea breeze simulation over the Malay Peninsula in an intermonsoon period publication-title: J. Geophys. Res. – volume: 6 year: 2019 ident: bb0270 article-title: Evaluation of satellite precipitation products over Central Vietnam publication-title: Progress in Earth and Planetary Science – volume: 2 start-page: 184 year: 1981 end-page: 194 ident: bb3000 article-title: On the Validation of Models publication-title: Phys. Geogr. – start-page: 3414 year: 2005 end-page: 3416 ident: bb0185 article-title: The global satellite mapping of precipitation (GSMaP) project publication-title: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS ‘05) – volume: 2015 start-page: 1504 year: 2015 end-page: 1528 ident: bb0260 article-title: Evaluation of six High-Resolution Satellite and Ground-based Precipitation Products over Malaysia publication-title: Remote Sens. – volume: 233 start-page: 104720 year: 2020 ident: bb0200 article-title: Physical-empirical models for prediction of seasonal rainfall extremes of Peninsular Malaysia publication-title: Atmos. Res. – year: 2019 ident: bb0305 article-title: Bias adjustment of satellite precipitation estimation using ground-based observation: Mei-yu front case studies in Taiwan publication-title: Asia-Pac. J. Atmos. Sci. – volume: 56 start-page: 2607 year: 2017 end-page: 2619 ident: bb0295 article-title: Further improvement of the heavy orographic rainfall retrievals in the GSMaP algorithm for microwave radiometers publication-title: J. Appl. Meteorol. Climatol. – volume: 11 year: 2018 ident: bb0015 article-title: Bias adjustment of satellite-based precipitation estimation using artificial neural networks-cloud classification system over Saudi Arabia publication-title: Arab. J. Geosci. – volume: 11 start-page: 555 year: 2019 ident: bb0165 article-title: Assessment of satellite-based precipitation measurement products over the hot desert climate of Egypt publication-title: Remote Sens. – volume: 63 start-page: 51 year: 2013 end-page: 58 ident: bb0100 article-title: Spatial interpolation on rainfall data over peninsular Malaysia using ordinary kriging publication-title: Jurnal Teknologi – volume: 144 start-page: 255 year: 2018 end-page: 269 ident: bb0075 article-title: Evaluation of TAPEER daily estimates and other GPM-era products against dense gauge networks in west africa, analysing ground reference uncertainty publication-title: Q. J. R. Meteorol. Soc. – volume: 242 start-page: 105007 year: 2020 ident: bb0250 article-title: Evaluation of remotely sensed precipitation sources for drought assessment in Semi-Arid Iraq publication-title: Atmos. Res. – year: 2019 ident: bb0005 article-title: The economic model for flood damage cost in retailing business in Malaysia publication-title: Proceedings of the Second International Conference on the Future of ASEAN (ICoFA) 2017 - Volume 1 – volume: 136 start-page: 457 year: 2019 end-page: 473 ident: bb0160 article-title: Unidirectional trends in annual and seasonal climate and extremes in Egypt publication-title: Theor. Appl. Climatol. – volume: 9 start-page: 87 year: 2017 end-page: 103 ident: bb0230 article-title: Impacts and adaptation to climate change in Malaysian real estate publication-title: Int. J. Climate Change Strateg. Manag. – volume: 15 start-page: 808 year: 2018 end-page: 812 ident: bb0280 article-title: Warm season satellite precipitation biases for different cloud types over western north pacific publication-title: IEEE Geosci. Remote Sens. Lett. – volume: 245 start-page: 105061 year: 2020 ident: bb4000 article-title: Evaluation of global climate models for precipitation projection in sub-Himalaya region of Pakistan publication-title: Atmos. Res. – volume: 10 start-page: 871 year: 2019 end-page: 892 ident: bb0245 article-title: Evaluation of satellite precipitation products for extreme flood events: case study in Peninsular Malaysia publication-title: J. Water Climate Change – volume: 98 start-page: 2007 year: 2007 ident: bb0115 article-title: Numerical case study of an extreme rainfall event during 9-11 December 2004 over the east coast of Peninsular Malaysia publication-title: Meteorog. Atmos. Phys. – volume: 6 start-page: 5471 year: 2009 end-page: 5503 ident: bb0290 article-title: Variability of rainfall in Peninsular Malaysia publication-title: Hydrol. Earth Syst. Sci. Discuss. – volume: 1 start-page: 14 year: 2017 ident: bb0010 article-title: Evaluation of the performance of gridded precipitation products over Balochistan Province, Pakistan publication-title: Desalin. Water Treat. – start-page: 581 year: 2020 ident: bb0050 article-title: Comparison analysis of six purely satellite-derived global precipitation estimates publication-title: J. Hydrol. – volume: 39 start-page: 2906 year: 2018 end-page: 2936 ident: bb0095 article-title: Statistical comparison of satellite-retrieved precipitation products with rain gauge observations over Bangladesh publication-title: Int. J. Remote Sens. – start-page: 11149 year: 2019 ident: bb0040 article-title: Investigating the performance of bias correction algorithms on satellite-based precipitation estimates publication-title: Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering – volume: 45 start-page: 8253 year: 2018 end-page: 8263 ident: bb6000 article-title: Strong Dependence of Extreme Convective Precipitation Intensities on Gauge Network Density publication-title: Geophys. Res. Lett. – volume: 197 start-page: 446 year: 2017 end-page: 460 ident: bb0220 article-title: Projection of spatial and temporal changes of rainfall in Sarawak of BorneoIsland using statistical downscaling of CMIP5 models publication-title: Atmos. Res. – volume: 27 start-page: 282 year: 1970 end-page: 290 ident: bb2000 article-title: River flow forecasting through conceptual models. Part I—A discussion of principles publication-title: J. Hydrol. – start-page: 10421 year: 2017 ident: bb0190 article-title: Evaluation of TRMM 3B42 V7 product on extreme precipitation measurements over Peninsular Malaysia publication-title: Proceedings of the International Society for Optical Engineering – volume: 149 year: 2018 ident: bb0205 article-title: Bias correction of daily satellite precipitation data using genetic algorithm publication-title: Paper presented at the IOP Conference Series: Earth and Environmental Science – volume: 121 start-page: 3790 year: 2016 end-page: 3806 ident: bb0300 article-title: Bias adjustment of satellite-based precipitation estimation using gauge observations: a case study in Chile publication-title: J. Geophys. Res. – volume: 575 start-page: 1 year: 2019 end-page: 16 ident: bb0045 article-title: Impact of the crucial geographic and climatic factors on the input source errors of GPM-based global satellite precipitation estimates publication-title: J. Hydrol. – volume: 2017 year: 2017 ident: bb0170 article-title: Error analysis and evaluation of the latest GSMap and IMERG precipitation products over eastern China publication-title: Adv. Meteorol. – volume: 16 start-page: 884 year: 2016 ident: bb5000 article-title: Evaluation of Bias Correction Method for Satellite-Based Rainfall Data publication-title: Sensors – volume: 40 start-page: 4577 year: 2019 end-page: 4603 ident: bb0210 article-title: Evaluation and inter-comparison of high-resolution multi-satellite rainfall products over India for the southwest monsoon period publication-title: Int. J. Remote Sens. – volume: 5 start-page: 199 year: 2006 end-page: 206 ident: bb0120 article-title: Wind environment evaluation of neighborhood areas in major Towns of Malaysia publication-title: J. Asian Architecture Building Eng. – volume: 45 start-page: 5 year: 2001 end-page: 32 ident: bb0035 article-title: Random forests publication-title: Mach. Learn. – start-page: 105203 year: 2020 ident: bb0180 article-title: Evaluating intensity-duration-frequency (IDF) curves of satellite-based precipitation datasets in Peninsular Malaysia publication-title: Atmos. Res. – volume: 154 start-page: 1424 year: 2017 end-page: 1430 ident: bb0195 article-title: A hybrid model for statistical downscaling of daily rainfall Procedia Engineering – volume: 56 start-page: 485 year: 2020 end-page: 492 ident: bb0310 article-title: Bias Adjustment of Satellite Precipitation Estimation using Ground-based Observation: Mei-Yu Front Case Studies in Taiwan publication-title: Asia-Pacific J Atmos Sci – volume: 10 start-page: 871 year: 2018 ident: bb0240 article-title: Trend analysis of droughts during crop growing seasons of Nigeria publication-title: Sustainability – volume: 20 start-page: 1213 year: 2019 end-page: 1233 ident: bb0140 article-title: Evaluating the benefits of merging near-real-time satellite precipitation products: a case study in the kinu basin region, Japan publication-title: J. Hydrometeorol. – volume: 242 start-page: 104964 year: 2020 ident: bb0105 article-title: Evaluation of bias correction methods for APHRODITE data to improve hydrologic simulation in a large Himalayan basin publication-title: Atmos. Res. – volume: 10 start-page: 882 year: 2018 ident: bb1000 article-title: Evaluation of trmm/gpm blended daily products over brazil publication-title: Remote Sens. – volume: 4 start-page: 474 year: 2012 end-page: 486 ident: bb0025 article-title: Sanitary Hazards and Microbial Quality of Open Dug Wells in the Maldives Islands publication-title: J. Water Res. Protect. – volume: 6 start-page: 95 year: 2019 ident: bb0255 article-title: Application of Satellite rainfall products for flood inundation modelling in Kelantan River Basin, Malaysia publication-title: Hydrology – volume: 105135 year: 2020 ident: bb0070 article-title: Novel approach to integrate daily satellite rainfall, with in-situ rainfall, Upper Tekeze Basin publication-title: Ethiopia. Atmosph. Res. – volume: 2019 start-page: 4267 year: 2019 ident: bb0150 article-title: Evaluation of Empirical Reference Evapotranspiration Models using Compromise programming: a Case Study of Peninsular Malaysia publication-title: Sustainability – volume: 10 start-page: 2187 year: 2018 ident: bb0155 article-title: Development of Climate-based Index for Hydrologic Hazard Susceptibility publication-title: Sustainability – volume: 10 year: 2018 ident: bb0225 article-title: Evaluation and bias correction of satellite-based rainfall estimates for modelling flash floods over the mediterranean region: Application to karpuz river basin, Turkey publication-title: Water (Switzerland) – volume: 49 start-page: 761 year: 2018 end-page: 779 ident: bb0265 article-title: Error features of the hourly GSMaP multi-satellite precipitation estimates over nine major basins of China publication-title: Hydrol. Res. – start-page: 479 year: 2020 ident: bb0085 article-title: Comparison of Rainfall Interpolation Methods in Langat River Basin. The 7th AUN/SEED-Net Regional Conference on Natural disaster (RCND 2019) IOP Conf. Series: Earth and Environmental Science – volume: 13 start-page: 5007 year: 2020 end-page: 5027 ident: bb0285 article-title: A new bias-correction method for precipitation over complex terrain suitable for different climate states: a case study using WRF (version 3.8.1) publication-title: Geosci. Model Dev. – volume: 124 start-page: 1609 year: 2015 end-page: 1622 ident: bb0145 article-title: Trends in rainfall and rainfall-related extremes in the east coast of peninsular Malaysia publication-title: J. Earth System Sci. – volume: 24 start-page: 123 year: 1996 end-page: 140 ident: bb0030 article-title: Bagging predictors publication-title: Mach. Learn. – volume: 87A start-page: 137 year: 2009 end-page: 151 ident: bb0275 article-title: A Kalman Filter Approach to the Global Satellite Mapping of Rainfall (GSMaP) from combined Passive Microwave and infrared Radiometric Data publication-title: J. Meteorol. Soc. Japan – volume: 27 start-page: 111 year: 2016 end-page: 125 ident: bb0215 article-title: Decision forest: twenty years of research publication-title: Inform. Fusion – start-page: 278 year: 1995 end-page: 282 ident: bb0090 article-title: Random decision forests publication-title: Proceedings of the 3rd International Conference on Document Analysis and Recognition – volume: 10 start-page: 1750 year: 2018 ident: bb0175 article-title: Uncertainty in rainfall intensity duration frequency curves of peninsular Malaysia under changing climate scenarios publication-title: Water – volume: 214 start-page: 121 year: 2018 end-page: 134 ident: bb0055 article-title: Error analysis and correction of the daily GSMaP products over hanjiang river basin of China publication-title: Atmos. Res. – volume: 11 year: 2019 ident: bb0135 article-title: A censored shifted mixture distribution mapping method to correct the bias of daily IMERG satellite precipitation estimates publication-title: Remote Sens. – volume: 40 start-page: 3139 year: 2019 end-page: 3153 ident: bb0020 article-title: Comprehensive comparison of daily IMERG and GSMaP satellite precipitation products in Ardabil province, Iran publication-title: Int. J. Remote Sens. – volume: 74 start-page: 1305 year: 2019 end-page: 1318 ident: bb0315 article-title: Evaluation of the GPM-based IMERG and GSMaP precipitation estimates over the Sichuan region publication-title: Acta Geograph. Sin. – volume: 15 start-page: 3133 year: 2014 end-page: 3181 ident: bb0065 article-title: Do we need hundreds of classifiers to Solve Real World classification problems? publication-title: J. Mach. Learn. Res. – volume: 556 start-page: 634 year: 2018 end-page: 644 ident: bb0130 article-title: Comprehensive evaluation of ensemble multi-satellite precipitation dataset using the dynamic bayesian model averaging scheme over the tibetan plateau publication-title: J. Hydrol. – volume: 18 start-page: 2491 year: 2017 end-page: 2509 ident: bb0080 article-title: Bias correction of long-term satellite monthly precipitation product (TRMM 3B43) over the conterminous United States publication-title: J. Hydrometeorol. – volume: 11 year: 2019 ident: bb0235 article-title: Performance assessment of sub-daily and daily precipitation estimates derived from GPM and GSMaP products over an arid environment publication-title: Remote Sens. – volume: 27 start-page: 111 year: 2016 ident: 10.1016/j.atmosres.2020.105430_bb0215 article-title: Decision forest: twenty years of research publication-title: Inform. Fusion doi: 10.1016/j.inffus.2015.06.005 – volume: 74 start-page: 1305 issue: 7 year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0315 article-title: Evaluation of the GPM-based IMERG and GSMaP precipitation estimates over the Sichuan region publication-title: Acta Geograph. Sin. – volume: 10 start-page: 1750 issue: 12 year: 2018 ident: 10.1016/j.atmosres.2020.105430_bb0175 article-title: Uncertainty in rainfall intensity duration frequency curves of peninsular Malaysia under changing climate scenarios publication-title: Water doi: 10.3390/w10121750 – volume: 24 start-page: 123 year: 1996 ident: 10.1016/j.atmosres.2020.105430_bb0030 article-title: Bagging predictors publication-title: Mach. Learn. doi: 10.1023/A:1018054314350 – start-page: 278 year: 1995 ident: 10.1016/j.atmosres.2020.105430_bb0090 article-title: Random decision forests – volume: 15 start-page: 3133 issue: 2014 year: 2014 ident: 10.1016/j.atmosres.2020.105430_bb0065 article-title: Do we need hundreds of classifiers to Solve Real World classification problems? publication-title: J. Mach. Learn. Res. – volume: 5 start-page: 199 issue: 1 year: 2006 ident: 10.1016/j.atmosres.2020.105430_bb0120 article-title: Wind environment evaluation of neighborhood areas in major Towns of Malaysia publication-title: J. Asian Architecture Building Eng. doi: 10.3130/jaabe.5.199 – volume: 2015 start-page: 1504 issue: 7 year: 2015 ident: 10.1016/j.atmosres.2020.105430_bb0260 article-title: Evaluation of six High-Resolution Satellite and Ground-based Precipitation Products over Malaysia publication-title: Remote Sens. doi: 10.3390/rs70201504 – volume: 121 start-page: 3790 issue: 8 year: 2016 ident: 10.1016/j.atmosres.2020.105430_bb0300 article-title: Bias adjustment of satellite-based precipitation estimation using gauge observations: a case study in Chile publication-title: J. Geophys. Res. doi: 10.1002/2015JD024540 – volume: 575 start-page: 1 year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0045 article-title: Impact of the crucial geographic and climatic factors on the input source errors of GPM-based global satellite precipitation estimates publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2019.05.020 – volume: 4 start-page: 474 year: 2012 ident: 10.1016/j.atmosres.2020.105430_bb0025 article-title: Sanitary Hazards and Microbial Quality of Open Dug Wells in the Maldives Islands publication-title: J. Water Res. Protect. doi: 10.4236/jwarp.2012.47055 – volume: 214 start-page: 121 year: 2018 ident: 10.1016/j.atmosres.2020.105430_bb0055 article-title: Error analysis and correction of the daily GSMaP products over hanjiang river basin of China publication-title: Atmos. Res. doi: 10.1016/j.atmosres.2018.07.022 – volume: 11 start-page: 555 issue: 5 year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0165 article-title: Assessment of satellite-based precipitation measurement products over the hot desert climate of Egypt publication-title: Remote Sens. doi: 10.3390/rs11050555 – volume: 45 start-page: 8253 issue: 16 year: 2018 ident: 10.1016/j.atmosres.2020.105430_bb6000 article-title: Strong Dependence of Extreme Convective Precipitation Intensities on Gauge Network Density publication-title: Geophys. Res. Lett. doi: 10.1029/2018GL077994 – volume: 113 year: 2008 ident: 10.1016/j.atmosres.2020.105430_bb0110 article-title: Sea breeze simulation over the Malay Peninsula in an intermonsoon period publication-title: J. Geophys. Res. – volume: 242 start-page: 104964 year: 2020 ident: 10.1016/j.atmosres.2020.105430_bb0105 article-title: Evaluation of bias correction methods for APHRODITE data to improve hydrologic simulation in a large Himalayan basin publication-title: Atmos. Res. doi: 10.1016/j.atmosres.2020.104964 – volume: 56 start-page: 485 year: 2020 ident: 10.1016/j.atmosres.2020.105430_bb0310 article-title: Bias Adjustment of Satellite Precipitation Estimation using Ground-based Observation: Mei-Yu Front Case Studies in Taiwan publication-title: Asia-Pacific J Atmos Sci doi: 10.1007/s13143-019-00152-7 – volume: 10 start-page: 882 year: 2018 ident: 10.1016/j.atmosres.2020.105430_bb1000 article-title: Evaluation of trmm/gpm blended daily products over brazil publication-title: Remote Sens. doi: 10.3390/rs10060882 – volume: 6 issue: 1 year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0270 article-title: Evaluation of satellite precipitation products over Central Vietnam publication-title: Progress in Earth and Planetary Science doi: 10.1186/s40645-019-0297-7 – volume: 242 start-page: 105007 year: 2020 ident: 10.1016/j.atmosres.2020.105430_bb0250 article-title: Evaluation of remotely sensed precipitation sources for drought assessment in Semi-Arid Iraq publication-title: Atmos. Res. doi: 10.1016/j.atmosres.2020.105007 – volume: 87A start-page: 137 year: 2009 ident: 10.1016/j.atmosres.2020.105430_bb0275 article-title: A Kalman Filter Approach to the Global Satellite Mapping of Rainfall (GSMaP) from combined Passive Microwave and infrared Radiometric Data publication-title: J. Meteorol. Soc. Japan doi: 10.2151/jmsj.87A.137 – volume: 10 start-page: 2187 issue: 7 year: 2018 ident: 10.1016/j.atmosres.2020.105430_bb0155 article-title: Development of Climate-based Index for Hydrologic Hazard Susceptibility publication-title: Sustainability doi: 10.3390/su10072182 – volume: 2017 year: 2017 ident: 10.1016/j.atmosres.2020.105430_bb0170 article-title: Error analysis and evaluation of the latest GSMap and IMERG precipitation products over eastern China publication-title: Adv. Meteorol. doi: 10.1155/2017/1803492 – volume: 11 issue: 17 year: 2018 ident: 10.1016/j.atmosres.2020.105430_bb0015 article-title: Bias adjustment of satellite-based precipitation estimation using artificial neural networks-cloud classification system over Saudi Arabia publication-title: Arab. J. Geosci. doi: 10.1007/s12517-018-3860-4 – volume: 233 start-page: 104720 year: 2020 ident: 10.1016/j.atmosres.2020.105430_bb0200 article-title: Physical-empirical models for prediction of seasonal rainfall extremes of Peninsular Malaysia publication-title: Atmos. Res. doi: 10.1016/j.atmosres.2019.104720 – year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0305 article-title: Bias adjustment of satellite precipitation estimation using ground-based observation: Mei-yu front case studies in Taiwan publication-title: Asia-Pac. J. Atmos. Sci. – start-page: 3414 year: 2005 ident: 10.1016/j.atmosres.2020.105430_bb0185 article-title: The global satellite mapping of precipitation (GSMaP) project – volume: 149 issue: 1 year: 2018 ident: 10.1016/j.atmosres.2020.105430_bb0205 article-title: Bias correction of daily satellite precipitation data using genetic algorithm publication-title: Paper presented at the IOP Conference Series: Earth and Environmental Science – volume: 556 start-page: 634 year: 2018 ident: 10.1016/j.atmosres.2020.105430_bb0130 article-title: Comprehensive evaluation of ensemble multi-satellite precipitation dataset using the dynamic bayesian model averaging scheme over the tibetan plateau publication-title: J. Hydrol. doi: 10.1016/j.jhydrol.2017.11.050 – volume: 144 start-page: 255 year: 2018 ident: 10.1016/j.atmosres.2020.105430_bb0075 article-title: Evaluation of TAPEER daily estimates and other GPM-era products against dense gauge networks in west africa, analysing ground reference uncertainty publication-title: Q. J. R. Meteorol. Soc. doi: 10.1002/qj.3335 – volume: 136 start-page: 457 issue: 1–2 year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0160 article-title: Unidirectional trends in annual and seasonal climate and extremes in Egypt publication-title: Theor. Appl. Climatol. doi: 10.1007/s00704-018-2498-1 – volume: 124 start-page: 1609 issue: 8 year: 2015 ident: 10.1016/j.atmosres.2020.105430_bb0145 article-title: Trends in rainfall and rainfall-related extremes in the east coast of peninsular Malaysia publication-title: J. Earth System Sci. doi: 10.1007/s12040-015-0639-9 – volume: 245 start-page: 105061 year: 2020 ident: 10.1016/j.atmosres.2020.105430_bb4000 article-title: Evaluation of global climate models for precipitation projection in sub-Himalaya region of Pakistan publication-title: Atmos. Res. doi: 10.1016/j.atmosres.2020.105061 – volume: 45 start-page: 5 year: 2001 ident: 10.1016/j.atmosres.2020.105430_bb0035 article-title: Random forests publication-title: Mach. Learn. doi: 10.1023/A:1010933404324 – volume: 27 start-page: 282 issue: 3 year: 1970 ident: 10.1016/j.atmosres.2020.105430_bb2000 article-title: River flow forecasting through conceptual models. Part I—A discussion of principles publication-title: J. Hydrol. doi: 10.1016/0022-1694(70)90255-6 – volume: 15 start-page: 808 issue: 6 year: 2018 ident: 10.1016/j.atmosres.2020.105430_bb0280 article-title: Warm season satellite precipitation biases for different cloud types over western north pacific publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2018.2815590 – volume: 39 start-page: 2906 issue: 9 year: 2018 ident: 10.1016/j.atmosres.2020.105430_bb0095 article-title: Statistical comparison of satellite-retrieved precipitation products with rain gauge observations over Bangladesh publication-title: Int. J. Remote Sens. doi: 10.1080/01431161.2018.1433890 – volume: 20 start-page: 1213 issue: 6 year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0140 article-title: Evaluating the benefits of merging near-real-time satellite precipitation products: a case study in the kinu basin region, Japan publication-title: J. Hydrometeorol. doi: 10.1175/JHM-D-18-0190.1 – volume: 18 start-page: 2491 issue: 9 year: 2017 ident: 10.1016/j.atmosres.2020.105430_bb0080 article-title: Bias correction of long-term satellite monthly precipitation product (TRMM 3B43) over the conterminous United States publication-title: J. Hydrometeorol. doi: 10.1175/JHM-D-17-0025.1 – start-page: 479 year: 2020 ident: 10.1016/j.atmosres.2020.105430_bb0085 – volume: 2019 start-page: 4267 issue: 11 year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0150 article-title: Evaluation of Empirical Reference Evapotranspiration Models using Compromise programming: a Case Study of Peninsular Malaysia publication-title: Sustainability doi: 10.3390/su11164267 – start-page: 105203 year: 2020 ident: 10.1016/j.atmosres.2020.105430_bb0180 article-title: Evaluating intensity-duration-frequency (IDF) curves of satellite-based precipitation datasets in Peninsular Malaysia publication-title: Atmos. Res. – volume: 9 start-page: 87 issue: 1 year: 2017 ident: 10.1016/j.atmosres.2020.105430_bb0230 article-title: Impacts and adaptation to climate change in Malaysian real estate publication-title: Int. J. Climate Change Strateg. Manag. doi: 10.1108/IJCCSM-01-2016-0001 – start-page: 10421 year: 2017 ident: 10.1016/j.atmosres.2020.105430_bb0190 article-title: Evaluation of TRMM 3B42 V7 product on extreme precipitation measurements over Peninsular Malaysia – volume: 40 start-page: 3139 issue: 8 year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0020 article-title: Comprehensive comparison of daily IMERG and GSMaP satellite precipitation products in Ardabil province, Iran publication-title: Int. J. Remote Sens. doi: 10.1080/01431161.2018.1539274 – volume: 1 start-page: 14 year: 2017 ident: 10.1016/j.atmosres.2020.105430_bb0010 article-title: Evaluation of the performance of gridded precipitation products over Balochistan Province, Pakistan publication-title: Desalin. Water Treat. – volume: 10 issue: 5 year: 2018 ident: 10.1016/j.atmosres.2020.105430_bb0225 article-title: Evaluation and bias correction of satellite-based rainfall estimates for modelling flash floods over the mediterranean region: Application to karpuz river basin, Turkey publication-title: Water (Switzerland) – volume: 40 start-page: 4577 issue: 12 year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0210 article-title: Evaluation and inter-comparison of high-resolution multi-satellite rainfall products over India for the southwest monsoon period publication-title: Int. J. Remote Sens. doi: 10.1080/01431161.2019.1569786 – volume: 197 start-page: 446 year: 2017 ident: 10.1016/j.atmosres.2020.105430_bb0220 article-title: Projection of spatial and temporal changes of rainfall in Sarawak of BorneoIsland using statistical downscaling of CMIP5 models publication-title: Atmos. Res. doi: 10.1016/j.atmosres.2017.08.002 – volume: 10 start-page: 871 issue: 3 year: 2018 ident: 10.1016/j.atmosres.2020.105430_bb0240 article-title: Trend analysis of droughts during crop growing seasons of Nigeria publication-title: Sustainability doi: 10.3390/su10030871 – volume: 49 start-page: 761 issue: 3 year: 2018 ident: 10.1016/j.atmosres.2020.105430_bb0265 article-title: Error features of the hourly GSMaP multi-satellite precipitation estimates over nine major basins of China publication-title: Hydrol. Res. doi: 10.2166/nh.2017.263 – volume: 13 start-page: 5007 year: 2020 ident: 10.1016/j.atmosres.2020.105430_bb0285 article-title: A new bias-correction method for precipitation over complex terrain suitable for different climate states: a case study using WRF (version 3.8.1) publication-title: Geosci. Model Dev. doi: 10.5194/gmd-13-5007-2020 – volume: 11 issue: 23 year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0235 article-title: Performance assessment of sub-daily and daily precipitation estimates derived from GPM and GSMaP products over an arid environment publication-title: Remote Sens. doi: 10.3390/rs11232840 – volume: 6 start-page: 95 year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0255 article-title: Application of Satellite rainfall products for flood inundation modelling in Kelantan River Basin, Malaysia publication-title: Hydrology doi: 10.3390/hydrology6040095 – volume: 10 start-page: 871 year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0245 article-title: Evaluation of satellite precipitation products for extreme flood events: case study in Peninsular Malaysia publication-title: J. Water Climate Change doi: 10.2166/wcc.2018.159 – volume: 56 start-page: 2607 issue: 9 year: 2017 ident: 10.1016/j.atmosres.2020.105430_bb0295 article-title: Further improvement of the heavy orographic rainfall retrievals in the GSMaP algorithm for microwave radiometers publication-title: J. Appl. Meteorol. Climatol. doi: 10.1175/JAMC-D-16-0332.1 – year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0005 article-title: The economic model for flood damage cost in retailing business in Malaysia – volume: 98 start-page: 2007 issue: 81–98 year: 2007 ident: 10.1016/j.atmosres.2020.105430_bb0115 article-title: Numerical case study of an extreme rainfall event during 9-11 December 2004 over the east coast of Peninsular Malaysia publication-title: Meteorog. Atmos. Phys. – volume: 6 start-page: 5471 year: 2009 ident: 10.1016/j.atmosres.2020.105430_bb0290 article-title: Variability of rainfall in Peninsular Malaysia publication-title: Hydrol. Earth Syst. Sci. Discuss. – start-page: 11149 year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0040 article-title: Investigating the performance of bias correction algorithms on satellite-based precipitation estimates – volume: 2 start-page: 184 year: 1981 ident: 10.1016/j.atmosres.2020.105430_bb3000 article-title: On the Validation of Models publication-title: Phys. Geogr. doi: 10.1080/02723646.1981.10642213 – volume: 63 start-page: 51 issue: 2 year: 2013 ident: 10.1016/j.atmosres.2020.105430_bb0100 article-title: Spatial interpolation on rainfall data over peninsular Malaysia using ordinary kriging publication-title: Jurnal Teknologi – volume: 105135 year: 2020 ident: 10.1016/j.atmosres.2020.105430_bb0070 article-title: Novel approach to integrate daily satellite rainfall, with in-situ rainfall, Upper Tekeze Basin publication-title: Ethiopia. Atmosph. Res. – volume: 16 start-page: 884 year: 2016 ident: 10.1016/j.atmosres.2020.105430_bb5000 article-title: Evaluation of Bias Correction Method for Satellite-Based Rainfall Data publication-title: Sensors doi: 10.3390/s16060884 – start-page: 581 year: 2020 ident: 10.1016/j.atmosres.2020.105430_bb0050 article-title: Comparison analysis of six purely satellite-derived global precipitation estimates publication-title: J. Hydrol. – volume: 11 issue: 11 year: 2019 ident: 10.1016/j.atmosres.2020.105430_bb0135 article-title: A censored shifted mixture distribution mapping method to correct the bias of daily IMERG satellite precipitation estimates publication-title: Remote Sens. doi: 10.3390/rs11111345 – volume: 154 start-page: 1424 year: 2017 ident: 10.1016/j.atmosres.2020.105430_bb0195
SSID	ssj0005049
Score	2.4480448
Snippet	The provision of high resolution near real-time rainfall data has made satellite rainfall products very potential for monitoring hydrological hazards. However,...
SourceID	proquest crossref elsevier
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	105430
SubjectTerms	algorithms Bias correction case studies empirical models Ensemble learning algorithm hydrometeorology Malaysia meteorological data Near-real-time rainfall Physical-empirical model rain Satellite precipitation satellites time series analysis topography wind speed
Title	Correcting bias of satellite rainfall data using physical empirical model
URI	https://dx.doi.org/10.1016/j.atmosres.2020.105430 https://www.proquest.com/docview/2551940640
Volume	251
WOSCitedRecordID	wos000612174900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1873-2895 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0005049 issn: 0169-8095 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bb9MwFLbKxgMviKvouMhIiJcqInfHj6XaYIhNSBSpb5Hji5qpTapepqnix3Nsx0kYl7EHXqI2ra0k32fnnM_H5yD0Bix6AJZHXqpU6sWFn3g0YtTzE8GZ9NMs4Abpz-T8PJvN6JfB4LvbC3O5IFWVXV3R1X-FGs4B2Hrr7C3gbjuFE_AZQIcjwA7HfwJ-outtcBPNXJTMRGpsmMm7uZUjXRBC6dVoHRk62hmhYOWgkstVaTOGmPo4fbt1vF3WG52BwGR87ilgWnMu2dqIMx_mTKu6J2zRicxf52xeWu15zpabnRBlj45LZiXoKQO-7cvR--7H8YaJ3X7PGoX2TPT1iTDohbU0kmVK4T1oS2m6OTdssszaWRNsvNiuzvwyoVtt4QIeIdwm3B949KEpTtw0-DmD9rU3Wxtv6ELZLnLXT677yW0_d9BhSBIK0_rh-PR49qkLEWrcJ3cHvR3mv7-iPxk3117zxnaZPkD3G6cDjy1ZHqKBrB6h4Rn4S_XaLKvgt3iyKMF5Md8eo9OORFiTCNcKtyTCjkRYkwgbEmFHItySCBsSPUHfTo6nk49eU3TD41GcbD0ui0SmsqBEZWCqhJLDYJZhpjISBQUM4yBWUUqp8gsBtjYhaaCIz4lgNCVcJNFTdFDVlXymo-bAeQ-EHyomYpLyQlAasywkflwQobIhStzTynmTkV4XRlnkf8driN617VY2J8uNLagDI28sS2sx5sCzG9u-dujlMPXq9TRWyXoHfwJvg8Z6Kfzo1lf0HN3rBssLdLBd7-RLdJdfbsvN-lVDxB9giavd
linkProvider	Elsevier
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Correcting+bias+of+satellite+rainfall+data+using+physical+empirical+model&rft.jtitle=Atmospheric+research&rft.au=Ziarh%2C+Ghaith+Falah&rft.au=Shahid%2C+Shamsuddin&rft.au=Ismail%2C+Tarmizi+Bin&rft.au=Asaduzzaman%2C+Md&rft.date=2021-04-01&rft.issn=0169-8095&rft.volume=251&rft.spage=105430&rft_id=info:doi/10.1016%2Fj.atmosres.2020.105430&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_atmosres_2020_105430
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0169-8095&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0169-8095&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0169-8095&client=summon