Increasing pre-monsoon rain days over four stations of Kerala, India
The climate of India varies greatly by region, as seen by wind patterns, temperature and rainfall, seasonal rhythms and the degree of wetness or dryness. During the several seasons, the weather conditions change. Changes in meteorological factors (temperature, pressure, wind direction and velocity,...
Saved in:
Published in: | Acta geophysica Vol. 70; no. 2; pp. 963 - 978 |
---|---|
Main Authors: | , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Cham
Springer International Publishing
01-04-2022
Springer Nature B.V |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Abstract | The climate of India varies greatly by region, as seen by wind patterns, temperature and rainfall, seasonal rhythms and the degree of wetness or dryness. During the several seasons, the weather conditions change. Changes in meteorological factors (temperature, pressure, wind direction and velocity, humidity and precipitation, etc.) cause these changes. The pre-monsoon season (PRMS) comprises of March, April and May months. The precipitation patterns observed in PRMS are crucial because it affects a variety of crop-related operations across the country. The lifting index (LI), K index (KI), total totals index (TTI), humidity index (HI), improved k index, improved total totals index, total precipitable water (TPW) and convective available potential energy (CAPE) are studied at four locations in Kerala during PRMS. These variables were examined on rain day (RD)’s and no rain day (NRD)’s. The four stations we chose for our investigation were Thiruvananthapuram, Kochi, Alappuzha and Kannur. The GPM IMERG (Integrated Multi-satellite Retrievals for Global Precipitation Measurement) daily rainfall datasets have been utilized for this analysis. Fifth-generation ECMWF atmospheric reanalysis (ERA5) daily data for the PRMS of 2021 were used to measure all rainfall-related variables. During PRMS, all metrics clearly distinguished the RD and NRD. The rise in relative humidity and observations of dew point depression indicates that there is enough moisture for convective rain. In May, there were more negative VV values than in April. |
---|---|
AbstractList | The climate of India varies greatly by region, as seen by wind patterns, temperature and rainfall, seasonal rhythms and the degree of wetness or dryness. During the several seasons, the weather conditions change. Changes in meteorological factors (temperature, pressure, wind direction and velocity, humidity and precipitation, etc.) cause these changes. The pre-monsoon season (PRMS) comprises of March, April and May months. The precipitation patterns observed in PRMS are crucial because it affects a variety of crop-related operations across the country. The lifting index (LI), K index (KI), total totals index (TTI), humidity index (HI), improved k index, improved total totals index, total precipitable water (TPW) and convective available potential energy (CAPE) are studied at four locations in Kerala during PRMS. These variables were examined on rain day (RD)’s and no rain day (NRD)’s. The four stations we chose for our investigation were Thiruvananthapuram, Kochi, Alappuzha and Kannur. The GPM IMERG (Integrated Multi-satellite Retrievals for Global Precipitation Measurement) daily rainfall datasets have been utilized for this analysis. Fifth-generation ECMWF atmospheric reanalysis (ERA5) daily data for the PRMS of 2021 were used to measure all rainfall-related variables. During PRMS, all metrics clearly distinguished the RD and NRD. The rise in relative humidity and observations of dew point depression indicates that there is enough moisture for convective rain. In May, there were more negative VV values than in April. |
Author | Nagarjuna, Ayachithula Satyanarayana, Gubbala China Rao, Kokkerapati Ramachandra Umakanth, Nandivada Kalyan, S. S. S. Gogineni, Rajesh Naveen, Ramisetti Rao, Myla Chimpiri |
Author_xml | – sequence: 1 givenname: Nandivada surname: Umakanth fullname: Umakanth, Nandivada organization: Department of ECE, Dhanekula Institute of Engineering and Technology – sequence: 2 givenname: S. S. S. surname: Kalyan fullname: Kalyan, S. S. S. organization: Department of ECE, Koneru Lakshmaiah Education Foundation – sequence: 3 givenname: Gubbala China surname: Satyanarayana fullname: Satyanarayana, Gubbala China organization: Center for Atmospheric Science, Koneru Lakshmaiah Education Foundation – sequence: 4 givenname: Rajesh surname: Gogineni fullname: Gogineni, Rajesh organization: Department of ECE, Dhanekula Institute of Engineering and Technology – sequence: 5 givenname: Ayachithula surname: Nagarjuna fullname: Nagarjuna, Ayachithula organization: Department of H&S (Physics), Teegala Krishna Reddy Engineering College – sequence: 6 givenname: Ramisetti surname: Naveen fullname: Naveen, Ramisetti organization: Department of Physics, Krishna University – sequence: 7 givenname: Kokkerapati Ramachandra surname: Rao fullname: Rao, Kokkerapati Ramachandra organization: Department of Physics, Government College (A) – sequence: 8 givenname: Myla Chimpiri surname: Rao fullname: Rao, Myla Chimpiri email: raomc72@gmail.com organization: Department of Physics, Andhra Loyola College |
BookMark | eNp9UEtLAzEQDlLBWv0DngJejSbZvHqU-ioWvOg5pJtJ2dImNdkK_fdGV9CTp5nhe8zMd4pGMUVA6ILRa0apvimMKUoJ5ZzUUXCijtCYmakkWkg5-tOfoNNS1pQqQRkfo7t5bDO40sUV3mUg2xRLShFn10Xs3aHg9AEZh7TPuPSu7yqOU8DPkN3GXeF59J07Q8fBbQqc_9QJenu4f509kcXL43x2uyBtw6Y9cULQ0EzFMmhJjfGOCa586w3X4CWviAHtNMil5CYY33imwDOoQKMDLJsJuhx8dzm976H0dl3vinWl5UpSrll9q7L4wGpzKiVDsLvcbV0-WEbtV1p2SMvWtOx3WlZVUTOISiXHFeRf639UnxHVbbg |
CitedBy_id | crossref_primary_10_1007_s41208_024_00740_z |
Cites_doi | 10.1007/s00703-021-00813-1 10.1002/qj.49710243208 10.1080/01431161.2010.542199 10.1175/1520-0493(1955)083<0001:AMFAIT>2.0.CO;2 10.1080/19479832.2020.1838629 10.2174/1652803401002010012 10.1002/chin.198239349 10.1029/90JD01856 10.1002/1097-0088(200010)20:12<1485::AID-JOC544>3.0.CO;2-V 10.1007/s00024-020-02471-7 10.1007/s11600-020-00478-1 10.54302/mausam.v54i4.1587 10.1142/S0219467822500073 10.1002/joc.2188 10.5194/hess-2019-547 10.1007/s00703-009-0026-7 10.1007/s41208-021-00335-y 10.1029/JC074i028p06899 10.1007/s12040-014-0426-z 10.1007/s00024-021-02886-w 10.1007/s12524-021-01440-4 10.1109/JSTARS.2019.2945815 10.1007/s12040-021-01561-x 10.54302/mausam.v56i3.1004 10.1142/S0219467823500134 10.2151/jmsj1965.60.2_672 10.1038/s41598-016-0028-x 10.1002/joc.1640 10.1175/1520-0477-37.10.528 10.1007/s00024-012-0566-5 10.1016/0168-1923(90)90100-K 10.1100/2012/894313 10.1007/s12040-010-0008-7 10.1017/CBO9781107340886 10.1080/02626667.2010.481373 10.1007/s11600-021-00662-x |
ContentType | Journal Article |
Copyright | The Author(s) under exclusive licence to Institute of Geophysics, Polish Academy of Sciences & Polish Academy of Sciences 2022 The Author(s) under exclusive licence to Institute of Geophysics, Polish Academy of Sciences & Polish Academy of Sciences 2022. |
Copyright_xml | – notice: The Author(s) under exclusive licence to Institute of Geophysics, Polish Academy of Sciences & Polish Academy of Sciences 2022 – notice: The Author(s) under exclusive licence to Institute of Geophysics, Polish Academy of Sciences & Polish Academy of Sciences 2022. |
DBID | AAYXX CITATION 7TG 8FD FR3 H8D KL. KR7 L7M |
DOI | 10.1007/s11600-022-00742-6 |
DatabaseName | CrossRef Meteorological & Geoastrophysical Abstracts Technology Research Database Engineering Research Database Aerospace Database Meteorological & Geoastrophysical Abstracts - Academic Civil Engineering Abstracts Advanced Technologies Database with Aerospace |
DatabaseTitle | CrossRef Aerospace Database Civil Engineering Abstracts Meteorological & Geoastrophysical Abstracts Technology Research Database Engineering Research Database Advanced Technologies Database with Aerospace Meteorological & Geoastrophysical Abstracts - Academic |
DatabaseTitleList | Aerospace Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Physics |
EISSN | 1895-7455 |
EndPage | 978 |
ExternalDocumentID | 10_1007_s11600_022_00742_6 |
GeographicLocations | Kerala India India |
GeographicLocations_xml | – name: Kerala India – name: India |
GroupedDBID | -5A -5G -BR -EM -Y2 -~X .86 06D 0R~ 0VY 1N0 2JY 2LR 2VQ 2~H 30V 3V. 4.4 406 408 40D 5VS 67M 67Z 6NX 88I 8FE 8FG 8FH 8TC 8UJ 95. 95~ AAFGU AAHNG AAIAL AANZL AAPBV AARHV AATNV AATVU AAUYE AAYFA ABDZT ABECU ABFGW ABFTV ABJCF ABJNI ABJOX ABKAS ABKCH ABMNI ABMQK ABQBU ABTEG ABTKH ABTMW ABUWG ABXPI ACBMV ACBRV ACBXY ACBYP ACGFS ACGOD ACHSB ACHXU ACIGE ACIPQ ACIWK ACMLO ACOKC ACOMO ACTTH ACVWB ACWMK ADHHG ADINQ ADKNI ADKPE ADMDM ADOXG ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFTE AEGNC AEJRE AEOHA AEPYU AESKC AESTI AEVLU AEVTX AEXYK AFGCZ AFGXO AFKRA AFLOW AFNRJ AFQWF AFWTZ AGDGC AGGBP AGJBK AGMZJ AGQMX AHBYD AHSBF AIAKS AILAN AIMYW AITGF AJDOV AJRNO AJZVZ AKQUC ALMA_UNASSIGNED_HOLDINGS AMKLP AMXSW AMYLF AMYQR ARAPS AXYYD AZQEC BA0 BENPR BGLVJ BGNMA BHPHI BKSAR BPHCQ CAG CCPQU COF CS3 CSCUP D1K DNIVK DPUIP DWQXO EBLON EBS EIOEI EJD FERAY FIGPU FINBP FNLPD FSGXE GGCAI GJIRD GNUQQ GQ6 GQ7 GROUPED_DOAJ HCIFZ HF~ HG6 HLICF HMJXF HZ~ IHE IJ- IKXTQ IWAJR IXC IXE IZQ I~X I~Z J-C JZLTJ K6- KDC KOV KQ8 L6V LK5 LLZTM M2P M4Y M7R M7S MA- NPVJJ NQJWS NU0 O9- O9J P2P P62 PCBAR PF0 PQQKQ PROAC PT4 PTHSS Q2X QOS R9I ROL RPX RSV S1Z S27 S3B SDH SEV SHX SISQX SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 TSG TSK TSV TUC U2A UOJIU UTJUX UZXMN VC2 VFIZW WK8 Y2W Z5O Z7R Z7Z ZMTXR ~02 ~A9 AACDK AAJBT AASML AAYXX AAYZH ABAKF ACAOD ACDTI ACZOJ AEFQL AEMSY AFBBN AGQEE AGRTI AIGIU CITATION H13 SJYHP 7TG 8FD FR3 H8D KL. KR7 L7M |
ID | FETCH-LOGICAL-c319t-a440f394bf75088da1426dcd827ed523948e7a7e5b528f8d3d16ed1e39437feb3 |
ISSN | 1895-7455 1895-6572 |
IngestDate | Tue Nov 19 06:21:14 EST 2024 Thu Nov 21 22:06:20 EST 2024 Sat Dec 16 12:08:14 EST 2023 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 2 |
Keywords | Convective system Precipitation Dew point depression Analysis |
Language | English |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c319t-a440f394bf75088da1426dcd827ed523948e7a7e5b528f8d3d16ed1e39437feb3 |
PQID | 2650271064 |
PQPubID | 54450 |
PageCount | 16 |
ParticipantIDs | proquest_journals_2650271064 crossref_primary_10_1007_s11600_022_00742_6 springer_journals_10_1007_s11600_022_00742_6 |
PublicationCentury | 2000 |
PublicationDate | 2022-04-01 |
PublicationDateYYYYMMDD | 2022-04-01 |
PublicationDate_xml | – month: 04 year: 2022 text: 2022-04-01 day: 01 |
PublicationDecade | 2020 |
PublicationPlace | Cham |
PublicationPlace_xml | – name: Cham – name: Berlin |
PublicationSubtitle | Official Journal of The Institute of Geophysics, PAS and Polish Academy of Sciences |
PublicationTitle | Acta geophysica |
PublicationTitleAbbrev | Acta Geophys |
PublicationYear | 2022 |
Publisher | Springer International Publishing Springer Nature B.V |
Publisher_xml | – name: Springer International Publishing – name: Springer Nature B.V |
References | ChakrabortyTPattnaikSVishwakarmaVBaisyaHSpatio-temporal variability of pre-monsoon convective events and associated rainfall over the State of Odisha (India) in the recent decadePure Appl Geophys202117811710.1007/s00024-021-02886-w India Meteorological Department (1943) Climatological Atlas for Airmen Sangani DJ, Thakker RA, Panchal SD, Gogineni R (2021b) Pan-sharpening for spectral details preservation via convolutional sparse coding in non-subsampled shearlet space. Int J Image Graph 2350013. HersbachHDeeDJENERA5 reanalysis is in productionECMWF Newsl2016147756 MukhopadhyayPSanjayJSinghSSObjective forecast of thundery/non thundery days using conventional indices over three northeast Indian stationsMausam200354486788010.54302/mausam.v54i4.1587 RakovVAUmanMALightning: physics and effects2003Cambridge University Press10.1017/CBO9781107340886 Johnson DL (1982) A stability analysis of AVE-4 severe weather soundings. NASA TP-2045 13: 8 Grieser J (2012) Convection parameters. Selbstverl JanowiakJEArkinPARainfall variations in the tropics during 1986–1989J Geophys Res1991963359337310.1029/90JD01856 SubashNRam MohanHSTrend detection in rainfall and evaluation of standardized precipitation index as a drought assessment index for rice–wheat productivity over IGR in IndiaInt J Climatol2011311116941709 Charba JP (1977) Operational system for predicting thunderstorms two to six hours in advance. NOAA Technical Memo NWS TDL-64 Murali Das S, Kumar MG, Sampath S (2004) Understanding lightning accidents to alleviate the hazard. Project report, The Centre for Earth Science Studies, India TyagiBSatyanarayanaANVVissaNKThermodynamical structure of atmosphere during pre-monsoon thunderstorm season over Kharagpur as revealed by STORM dataPure Appl Geophys2013170467568710.1007/s00024-012-0566-5 KoutavarapuRUmakanthNMadhavBTPRaoMCShimJInfluence of thermodynamic indices during severe convection over Andaman Nicobar and Lakshadweep islandsThalassas202137259361910.1007/s41208-021-00335-y KungECSharifTALong-range forecasting of the Indian summer monsoon onset and rainfall with upper air parameters and sea surface temperatureJ Meteorol Soc Jpn Ser II198260267268110.2151/jmsj1965.60.2_672 UmakanthNSatyanarayanaGCNaveenaNSrinivasDRaoDBStatistical and dynamical based thunderstorm prediction over southeast IndiaJ Earth Syst Sci2021130211810.1007/s12040-021-01561-x BondyopadhyaySMohapatraMSen RoySDetermination of suitable thermodynamic indices and prediction of thunderstorm events for Kolkata, IndiaMeteorol Atmos Phys202113341367137710.1007/s00703-021-00813-1 Mohammed SA, Hamouda MA, Mahmoud MT, Mohamed MM (2020) Performance of GPM-IMERG precipitation products under diverse topographical features and multiple-intensity rainfall in an arid region. Hydrology and Earth System Sciences Discussions. 20:1–27 Miller RC (1972) Notes on analysis and severe storm forecasting procedures of the Air Force Global Weather Central Tech. Report 200(R), Headquarters, Air Weather Service, Scott Air Force Base, IL 62225 KoutavarapuRUmakanthNMadhavBTPKumariBSRaoMCLeeDYShimJVariation of thermodynamic indices over four stations of BangladeshThalassas20212021118 Barlow WR (1993) A new index for prediction of deep convection. Preprints, 17th Conference on severe local storms, Amer. Meteor., St. Louis, MO, pp 129–132 KumarPVNaiduCVIs pre-monsoon rainfall activity over India increasing in the recent era of global warming?Pure Appl Geophys202017794423444210.1007/s00024-020-02471-7 Miller RC (1967) Notes on analysis and severe storm forecasting procedures of the Military Weather Warning Center. Tech. Report 200 AWS: USAF UmanMAMcLainDKMagnetic field of lightning•return strokeJ Geophys Res196974286899691010.1029/JC074i028p06899 SubbramayyaIBhanu KumarOSRUThe onset and the northern limit of the South-West Monsoon over IndiaMet Mag19781073749 GogineniRChaturvediAA robust pansharpening algorithm based on convolutional sparse coding for spatial enhancementIEEE J Sel Top Appl Earth Observ Remote Sens201912104024403710.1109/JSTARS.2019.2945815 GeorgeGJWeather forecasting for aeronautics1960LondonAcademic Press673 VishnuRDasSMSampathSKumarGMDetection of possible thunderstorm formation inferred from weather element changes at ground level on a mountain slopeJ Light Res201021122410.2174/1652803401002010012 PradhanMRaoASSrivastavaADakateASalunkeKShameeraKSPrediction of Indian summer-monsoon onset variability: a season in advanceSci Rep20177111410.1038/s41598-016-0028-x VarikodenHHarikumarRVishnuRSasi KumarVSampathSMurali DasSMohan KumarGObservational study of cloud base height and its frequency over a tropical station, Thiruvananthapuram, using a ceilometerInt J Remote Sens201132238505851810.1080/01431161.2010.542199 NayakHPMandalMAnalysis of stability parameters in relation to precipitation associated with pre-monsoon thunderstorms over Kolkata, IndiaJ Earth Syst Sci2014123468970310.1007/s12040-014-0426-z LitynskaZParfiniewiczJPinkowskiHThe prediction of air mass thunderstorms and hailsWMO1976450128130 Gogineni R, Chaturvedi A, Dayasagar BS (2020) A variational pan-sharpening algorithm to enhance the spectral and spatial details. Int J Image Data Fusion 1–23 KoutavarapuRUmakanthNSatyanarayanaTKumarMSRaoMCLeeDYShimJStudy of statistical estimated parameters using ERA5 reanalysis data over Khulna region during monsoon seasonActa Geophys20216951963197810.1007/s11600-021-00662-x BasuGCDiurnal variation of thunderstorm activities over Kolkata during PRMSMausam200556370771010.54302/mausam.v56i3.1004 MoncrieffMWMillerMJThe dynamics and simulation of tropical cumulonimbus and squall linesQ J R Meteorol Soc197610243237339410.1002/qj.49710243208 KumarVJainSKSinghYAnalysis of long-term rainfall trends in IndiaHydrol Sci J201055448449610.1080/02626667.2010.481373 KothawaleDRRevadekarJVKumarKRRecent trends in premonsoon daily temperature extremes over IndiaJ Earth Syst Sci20101191516510.1007/s12040-010-0008-7 SubbaramayyaIBabuSVRaoSSOnset of the summer monsoon over India and its variabilityMeteorol Mag19841131342127135 RanalkarMRChaudhariHSSeasonal variation of lightning activity over the Indian subcontinentMeteorol Atmos Phys2009104112513410.1007/s00703-009-0026-7 Gogineni R, Sangani DJ (2021) A two-stage PAN-sharpening algorithm based on sparse representation for spectral distortion reduction. Int J Image Graph 2250007 UmakanthNSatyanarayanaGCSimonBRaoMCKumarMTBabuNRAnalysis of various thermodynamic instability parameters and their association with the rainfall during thunderstorm events over Anakapalle (Visakhapatnam district), IndiaActa Geophys20206851549156410.1007/s11600-020-00478-1 SanganiDJThakkerRAPanchalSDGogineniRPansharpening of satellite images with convolutional sparse coding and adaptive PCNN-based approachJ Indian Soc Remote Sens20214911610.1007/s12524-021-01440-4 NandargiSMulyeSSRelationships between rainy days, mean daily intensity, and seasonal rainfall over the Koyna catchment during 1961–2005Sci World J2012201211010.1100/2012/894313 GalwayGJThe lifted index as a predictor of latent instabilityBull Am Meteorol Soc1956371052852910.1175/1520-0477-37.10.528 SadhukhanILoharDPalDKPRMS rainfall variability over Gangetic West Bengal and its neighbourhood, IndiaInt J Climatol2000201485149310.1002/1097-0088(200010)20:12<1485::AID-JOC544>3.0.CO;2-V BeebeRGBatesFCA mechanism for assisting in the release of convective instabilityMon Weather Rev195583111010.1175/1520-0493(1955)083<0001:AMFAIT>2.0.CO;2 CarlsonTNPerryEMSchmuggeTJRemote estimation of soil moisture availability and fractional vegetation cover for agricultural fieldsAgric Meteorol19901–521–2456910.1016/0168-1923(90)90100-K GuhathakurtaPRajeevanMTrends in the rainfall pattern over IndiaInt J Climatol200828111453146910.1002/joc.1640 H Varikoden (742_CR48) 2011; 32 T Chakraborty (742_CR6) 2021; 178 S Bondyopadhyay (742_CR4) 2021; 133 P Guhathakurta (742_CR14) 2008; 28 742_CR10 742_CR13 742_CR12 VA Rakov (742_CR36) 2003 742_CR16 R Koutavarapu (742_CR21) 2021; 2021 MA Uman (742_CR47) 1969; 74 R Koutavarapu (742_CR22) 2021; 69 MW Moncrieff (742_CR30) 1976; 102 GJ Galway (742_CR8) 1956; 37 GJ George (742_CR9) 1960 HP Nayak (742_CR34) 2014; 123 M Pradhan (742_CR35) 2017; 7 Z Litynska (742_CR26) 1976; 450 EC Kung (742_CR25) 1982; 60 N Subash (742_CR41) 2011; 31 742_CR28 742_CR27 742_CR18 PV Kumar (742_CR23) 2020; 177 I Subbaramayya (742_CR42) 1984; 113 N Umakanth (742_CR45) 2020; 68 R Gogineni (742_CR11) 2019; 12 TN Carlson (742_CR5) 1990; 1–52 742_CR7 I Sadhukhan (742_CR38) 2000; 20 P Mukhopadhyay (742_CR31) 2003; 54 R Vishnu (742_CR49) 2010; 2 742_CR1 S Nandargi (742_CR33) 2012; 2012 I Subbramayya (742_CR43) 1978; 107 H Hersbach (742_CR15) 2016; 147 742_CR32 GC Basu (742_CR2) 2005; 56 JE Janowiak (742_CR17) 1991; 96 742_CR29 MR Ranalkar (742_CR37) 2009; 104 DR Kothawale (742_CR19) 2010; 119 RG Beebe (742_CR3) 1955; 83 N Umakanth (742_CR46) 2021; 130 DJ Sangani (742_CR39) 2021; 49 V Kumar (742_CR24) 2010; 55 742_CR40 B Tyagi (742_CR44) 2013; 170 R Koutavarapu (742_CR20) 2021; 37 |
References_xml | – ident: 742_CR28 – volume: 133 start-page: 1367 issue: 4 year: 2021 ident: 742_CR4 publication-title: Meteorol Atmos Phys doi: 10.1007/s00703-021-00813-1 contributor: fullname: S Bondyopadhyay – volume: 102 start-page: 373 issue: 432 year: 1976 ident: 742_CR30 publication-title: Q J R Meteorol Soc doi: 10.1002/qj.49710243208 contributor: fullname: MW Moncrieff – volume: 107 start-page: 37 year: 1978 ident: 742_CR43 publication-title: Met Mag contributor: fullname: I Subbramayya – volume: 32 start-page: 8505 issue: 23 year: 2011 ident: 742_CR48 publication-title: Int J Remote Sens doi: 10.1080/01431161.2010.542199 contributor: fullname: H Varikoden – volume: 83 start-page: 1 issue: 1 year: 1955 ident: 742_CR3 publication-title: Mon Weather Rev doi: 10.1175/1520-0493(1955)083<0001:AMFAIT>2.0.CO;2 contributor: fullname: RG Beebe – ident: 742_CR12 doi: 10.1080/19479832.2020.1838629 – volume: 2 start-page: 12 issue: 1 year: 2010 ident: 742_CR49 publication-title: J Light Res doi: 10.2174/1652803401002010012 contributor: fullname: R Vishnu – ident: 742_CR18 doi: 10.1002/chin.198239349 – volume: 96 start-page: 3359 year: 1991 ident: 742_CR17 publication-title: J Geophys Res doi: 10.1029/90JD01856 contributor: fullname: JE Janowiak – ident: 742_CR27 – volume: 20 start-page: 1485 year: 2000 ident: 742_CR38 publication-title: Int J Climatol doi: 10.1002/1097-0088(200010)20:12<1485::AID-JOC544>3.0.CO;2-V contributor: fullname: I Sadhukhan – volume: 177 start-page: 4423 issue: 9 year: 2020 ident: 742_CR23 publication-title: Pure Appl Geophys doi: 10.1007/s00024-020-02471-7 contributor: fullname: PV Kumar – volume: 450 start-page: 128 year: 1976 ident: 742_CR26 publication-title: WMO contributor: fullname: Z Litynska – volume: 68 start-page: 1549 issue: 5 year: 2020 ident: 742_CR45 publication-title: Acta Geophys doi: 10.1007/s11600-020-00478-1 contributor: fullname: N Umakanth – start-page: 673 volume-title: Weather forecasting for aeronautics year: 1960 ident: 742_CR9 contributor: fullname: GJ George – volume: 147 start-page: 5 issue: 7 year: 2016 ident: 742_CR15 publication-title: ECMWF Newsl contributor: fullname: H Hersbach – ident: 742_CR16 – volume: 54 start-page: 867 issue: 4 year: 2003 ident: 742_CR31 publication-title: Mausam doi: 10.54302/mausam.v54i4.1587 contributor: fullname: P Mukhopadhyay – ident: 742_CR7 – ident: 742_CR10 doi: 10.1142/S0219467822500073 – volume: 31 start-page: 1694 issue: 11 year: 2011 ident: 742_CR41 publication-title: Int J Climatol doi: 10.1002/joc.2188 contributor: fullname: N Subash – ident: 742_CR29 doi: 10.5194/hess-2019-547 – volume: 104 start-page: 125 issue: 1 year: 2009 ident: 742_CR37 publication-title: Meteorol Atmos Phys doi: 10.1007/s00703-009-0026-7 contributor: fullname: MR Ranalkar – ident: 742_CR13 – volume: 37 start-page: 593 issue: 2 year: 2021 ident: 742_CR20 publication-title: Thalassas doi: 10.1007/s41208-021-00335-y contributor: fullname: R Koutavarapu – ident: 742_CR32 – volume: 74 start-page: 6899 issue: 28 year: 1969 ident: 742_CR47 publication-title: J Geophys Res doi: 10.1029/JC074i028p06899 contributor: fullname: MA Uman – volume: 123 start-page: 689 issue: 4 year: 2014 ident: 742_CR34 publication-title: J Earth Syst Sci doi: 10.1007/s12040-014-0426-z contributor: fullname: HP Nayak – volume: 2021 start-page: 1 year: 2021 ident: 742_CR21 publication-title: Thalassas contributor: fullname: R Koutavarapu – volume: 178 start-page: 1 year: 2021 ident: 742_CR6 publication-title: Pure Appl Geophys doi: 10.1007/s00024-021-02886-w contributor: fullname: T Chakraborty – volume: 49 start-page: 1 year: 2021 ident: 742_CR39 publication-title: J Indian Soc Remote Sens doi: 10.1007/s12524-021-01440-4 contributor: fullname: DJ Sangani – volume: 12 start-page: 4024 issue: 10 year: 2019 ident: 742_CR11 publication-title: IEEE J Sel Top Appl Earth Observ Remote Sens doi: 10.1109/JSTARS.2019.2945815 contributor: fullname: R Gogineni – volume: 130 start-page: 1 issue: 2 year: 2021 ident: 742_CR46 publication-title: J Earth Syst Sci doi: 10.1007/s12040-021-01561-x contributor: fullname: N Umakanth – volume: 56 start-page: 707 issue: 3 year: 2005 ident: 742_CR2 publication-title: Mausam doi: 10.54302/mausam.v56i3.1004 contributor: fullname: GC Basu – ident: 742_CR40 doi: 10.1142/S0219467823500134 – volume: 113 start-page: 127 issue: 1342 year: 1984 ident: 742_CR42 publication-title: Meteorol Mag contributor: fullname: I Subbaramayya – volume: 60 start-page: 672 issue: 2 year: 1982 ident: 742_CR25 publication-title: J Meteorol Soc Jpn Ser II doi: 10.2151/jmsj1965.60.2_672 contributor: fullname: EC Kung – volume: 7 start-page: 1 issue: 1 year: 2017 ident: 742_CR35 publication-title: Sci Rep doi: 10.1038/s41598-016-0028-x contributor: fullname: M Pradhan – ident: 742_CR1 – volume: 28 start-page: 1453 issue: 11 year: 2008 ident: 742_CR14 publication-title: Int J Climatol doi: 10.1002/joc.1640 contributor: fullname: P Guhathakurta – volume: 37 start-page: 528 issue: 10 year: 1956 ident: 742_CR8 publication-title: Bull Am Meteorol Soc doi: 10.1175/1520-0477-37.10.528 contributor: fullname: GJ Galway – volume: 170 start-page: 675 issue: 4 year: 2013 ident: 742_CR44 publication-title: Pure Appl Geophys doi: 10.1007/s00024-012-0566-5 contributor: fullname: B Tyagi – volume: 1–52 start-page: 45 issue: 1–2 year: 1990 ident: 742_CR5 publication-title: Agric Meteorol doi: 10.1016/0168-1923(90)90100-K contributor: fullname: TN Carlson – volume: 2012 start-page: 1 year: 2012 ident: 742_CR33 publication-title: Sci World J doi: 10.1100/2012/894313 contributor: fullname: S Nandargi – volume: 119 start-page: 51 issue: 1 year: 2010 ident: 742_CR19 publication-title: J Earth Syst Sci doi: 10.1007/s12040-010-0008-7 contributor: fullname: DR Kothawale – volume-title: Lightning: physics and effects year: 2003 ident: 742_CR36 doi: 10.1017/CBO9781107340886 contributor: fullname: VA Rakov – volume: 55 start-page: 484 issue: 4 year: 2010 ident: 742_CR24 publication-title: Hydrol Sci J doi: 10.1080/02626667.2010.481373 contributor: fullname: V Kumar – volume: 69 start-page: 1963 issue: 5 year: 2021 ident: 742_CR22 publication-title: Acta Geophys doi: 10.1007/s11600-021-00662-x contributor: fullname: R Koutavarapu |
SSID | ssj0064012 |
Score | 2.2938704 |
Snippet | The climate of India varies greatly by region, as seen by wind patterns, temperature and rainfall, seasonal rhythms and the degree of wetness or dryness.... |
SourceID | proquest crossref springer |
SourceType | Aggregation Database Publisher |
StartPage | 963 |
SubjectTerms | Convective available potential energy Daily rainfall Dew point Dew point depression Earth and Environmental Science Earth Sciences Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Global precipitation Humidity Humidity indexes Moisture effects Monsoon rainfall Monsoons Potential energy Precipitable water Precipitation Precipitation patterns Rain Rainfall Relative humidity Research Article - Atmospheric & Space Sciences Structural Geology Weather Weather conditions Wind Wind direction |
Title | Increasing pre-monsoon rain days over four stations of Kerala, India |
URI | https://link.springer.com/article/10.1007/s11600-022-00742-6 https://www.proquest.com/docview/2650271064 |
Volume | 70 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1NaxsxEBVOQqGX0k_qNi069LZRsWXtSns0tUsg0EObQHJapB2pSZvaJWsX8u87WmlXW5dAcygYYSQhGc3TSPOsmSHk3URrAQ4cK3QumACumHFSstzoqchNWeTcOycff5GfztViKZajUZfXINX9V0ljHcrae87eQ9r9oFiB31HmWKLUsfwnueOG9-_Mg5O5ZThvs0YJ-0wQGejbJvNvNjOHQ3kaoX8Hd-K5KR00Blzp4Z11Xm909tWuAwnSq_GzH_o7iuUy6mi4-qWTdX-ir28jtfo-fHoqR2-wRd9oX7as_NYYnDpl8g7h-n2YxDbdVPZZf7PN5ZCeQMs2vWoZ0pM7BGfi2MI5FJSvKnMmRQjb22nnkFYkopAPVG0ZFWM4tcuQCOivA2ESHaSnhfeg9z_PkwFsJ_p2bw6FAM6-c4Wdq7ZzVeyRA456DNXowfz84mLRHfUFGqc8emIFf8zdaf687SQTZudf9_Yyc_qYPIpWCJ0H-DwhI7t6Sh60r4Hr5hlZJBDRAYioBxH1IKIeRNSDiHYgomtHA4iOaAuh5-Ts4_L0wzGL6TZYjXp4w7QQEzcrBe5Vf2sH3Ky8gBoUlxZyji3KSi1tbnKunIIZTAsLU4sNM-msmb0g-6v1yr4kVOJI3AAosHhCSFHWWKOMmJRQK6jdmGTdslQ_Q1SV6u7lH5PDbuWquNOaiqNpwfF6XIgxOepWMzXfPdqr-3V_TR4mWB-S_c3N1r4hew1s30Y0_AZCw4bM |
link.rule.ids | 315,782,786,27933,27934,48344,48347,49649,49652 |
linkProvider | Springer Nature |
linkToHtml | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NT8IwFH8RiNGL30YUtQdvsoSVri1HIhAIyEVM4LRse-1xGAcH_3tfx5ZFowe9ttvL8uv73PsowEMnigRatJ6MAuEJ5NqLrVJeEEe-COKeDLhrTh6_qPlSD4ZuTI4oe2HyavcyJZlr6qrZzZeuC5qCJ2f3uCdr0HDTznkdGv3lajUoNbCkmIEXDTI_v_nVCFWe5bdkaG5jRsf_-7oTOCp8StbfMcEp7Jn0DPbz2s4kO4cB6QBXek7kmCv6IMbL1uuUucshGEYfGXNlnMwSGZbtMvO0ZNnU_a6K2mySEg9dwOtouHgae8XlCV5CUrXxIiE6ttsThLzzwZCg5xIT1FwZDNyF6NqoSJkgDri2GrvoS4O-oY2ushRiX0I9XafmCpgiSjxG1GhI3pXoJbSiY4oMMdGY2CY8lmiGb7sZGWE1DdnhEhIuYY5LKJvQKgEPC3nJQk6OIidnR4omtEuAq-3fqV3_7fF7OBgvnmfhbDKf3sAhz8_LleG0oL5535pbqGW4vSsY6hNXTcSg |
linkToPdf | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpR1NT8Iw9EUhGi9-G1HUHrzJAitdW45EQAiGmIiJt2Xba4-DODj4730dm4tGD8Zru74s772-j74vgNtOFAm0aD0ZBcITyLUXW6W8II58EcQ9GXBXnDx-VrNXPRi6NjmfVfx5tnsZktzUNLguTemqvUTbrgrffOkqosmRcjqQe3Ib6u5ZTNSg3p_MH0alNJbkP_CiWObnk18VUmVlfguM5vpmdPD_Pz2E_cLWZP0NcxzBlkmPYSfP-UyyExiQbHAp6QSauWQQYshssUiZGxrBMHrPmEvvZJbAsGwTsacly6buGStqsUlKvHUKL6Ph_H7sFUMVvIRu28qLhOjYbk8QRZxthkQSLjFBzZXBwA1K10ZFygRxwLXV2EVfGvQNbXSVJdf7DGrpIjXnwBRB4jGiRkNyQIleQis6Jo8RE42JbcBdidlwuemdEVZdkh1eQsJLmOMllA1olsgPi3uUhZwMSE5GkBQNaJXIrrZ_h3bxt89vYPdpMAofJ7PpJezxnFwuO6cJtdXb2lzBdobr64K3PgCTVc03 |
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=Increasing+pre-monsoon+rain+days+over+four+stations+of+Kerala%2C+India&rft.jtitle=Acta+geophysica&rft.au=Umakanth%2C+Nandivada&rft.au=Kalyan%2C+S.+S.+S.&rft.au=Satyanarayana%2C+Gubbala+China&rft.au=Gogineni%2C+Rajesh&rft.date=2022-04-01&rft.pub=Springer+International+Publishing&rft.eissn=1895-7455&rft.volume=70&rft.issue=2&rft.spage=963&rft.epage=978&rft_id=info:doi/10.1007%2Fs11600-022-00742-6&rft.externalDocID=10_1007_s11600_022_00742_6 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1895-7455&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1895-7455&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1895-7455&client=summon |