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Comparative analysis of two rainfall retrieval algorithms during extreme rainfall event: a case study on cloudburst, 2010 over Ladakh (Leh), Jammu and Kashmir

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Abstract

Intense rainfall events lead to floods and landslides in the Western Himalayas (WH). These rainfall amounts are considered comparatively moderate over the plains. These events, called ‘cloudbursts,’ are convective triggered followed by orographically locked phenomena producing sudden high-intensity rainfall over a small area. Early warning and prediction of such severe local weather systems is important to mitigate societal impacts arising from the accompanying flash floods, landslides, etc. Due to lack of ground-based observations, cloudbursts over remote and unpopulated hilly areas often go unreported. Present study examines a cloudburst occurred at Ladakh (Leh) in the WH in the early hours of August 5, 2010, using remotely sensed rainfall data from Tropical Rainfall Measuring Mission (TRMM) and Kalpana-1. The storm lasted for 2 days starting from August 3, 2010, followed by flash floods. Rain-band propagation over the region is studied from Kalpana-1 3-hourly rainfall estimates using Indian Satellite (INSAT) multi-spectral rainfall algorithm (IMSRA) and TRMM rainfall estimates using TRMM 3B42 algorithm. Quantitative and qualitative assessment and comparison of these two products is made. It is observed that there is decrease in satellite brightness temperature (BT) during the rainfall event. Initiation of rainfall occurs at about < 255 K. Maximum of 16.75 mm/h rainfall is observed over the Jammu and Kashmir at 21 GMT from TRMM 3B42 estimates. In addition, it is observed that Kalpana-1 IMSRA underestimates the rainfall observations with respect to Indian Meteorological Department (IMD) rainfall estimates. Spatial correlation at 5% significant level is evaluated, and similarities in rainfall estimates based on rainfall retrieval algorithms are made during the cloudburst event. Mean and standard deviations depict that TRMM 3B42 and IMD rainfall estimates are closer in terms of spatial signature, but estimates of rainfall from Kalpana-1 underestimate the mean and standard deviation signature. In view of orographic contribution, it has been observed that linear fit is the better than nonlinear with less rainfall bias at 90% confidence bound over the region.

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Source: Thayyen et al. 2013

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References

  • Anders AM, Roe GH, Hallet B, Montgomery DR, Finnegan NJ, Putkonen J (2006) Spatial patterns of precipitation and topography in the Himalaya. Geol Soc Am Spec Pap. https://doi.org/10.1130/2006.2398(03)

    Google Scholar 

  • Barrette EC, Martin DW (1981) The use of satellite data in rainfall monitoring. Academic Press Inc., London

    Google Scholar 

  • Barros AP, Lettenmaier DP (1994) Dynamic modeling of orographically induced precipitation. Rev Geophys 32:265–284

    Article  Google Scholar 

  • Barros AP, Joshi M, Putkonen J, Burbank DW (2000) A study of 1999 monsoon rainfall in a mountainous region in central Nepal using TRMM products and rain gauge observations. Geophys Res Lett 27:3683–3686

    Article  Google Scholar 

  • Barros AP, Chiao S, Lang TJ, Burbank D, Putkonen J (2006) From weather to climate—seasonal and interannual variability of storms and implications for erosion processes in the Himalaya. In: Willett SD, Hovius N, Brandon MT, Fisher DM (eds) Tectonics, climate, and landscape evolution: Geological Society of America Special Paper, vol 398. Penrose Conference Series, pp 17–28. https://doi.org/10.1130/2006.2398(02)

  • Basistha A, Arya DS, Goel NK (2007) Spatial distribution of rainfall in Indian Himalayas—a case study of Uttarakhand region. Water Resour Manag 22:1325–1346

    Article  Google Scholar 

  • Bhan SC, Devrani AK, Sinha V (2015) An analysis of monthly rainfall and the meteorological conditions associated with cloudburst over the dry region of Leh (Ladakh) India. Mausam 66(1):107–122

    Google Scholar 

  • Bookhagen B, Burbank DW (2006) Topography, relief and TRMM-derived rainfall variation along the Himalaya. Geophys Res Lett 33:1–5

    Google Scholar 

  • Bookhagen B, Strecker MR (2008) Orographic barriers, high resolution TRMM rainfall, and relief variations along the eastern Andes. Geophys Res Lett 35:1–6

    Article  Google Scholar 

  • Bookhagen B, Thiede RC, Strecker MR (2005) Abnormal monsoon years and their control on erosion and sediment flux in high, arid northwest Himalaya. Earth Plan Sci Lett 231:131–146

    Article  Google Scholar 

  • Das S, Singh SV, Rajgopal EN, Gall R (2003) Mesoscale modeling for mountain weather forecasting over the Himalayas. Bull Am Meteorol Soc 84:1237–1244

    Article  Google Scholar 

  • Das S, Ashrit R, Moncrieff MW (2006) Simulation of a Himalayan cloudburst event. J Earth Syst Sci 115(3):299–313

    Article  Google Scholar 

  • Dimri AP (2009) Impact of subgrid scale scheme on topography and landuse for better regional scale simulation of meteorological variables over the Western Himalayas. Clim Dyn 32:565–574

    Article  Google Scholar 

  • Dimri AP, Ganju A (2007) Winter time seasonal scale simulation over Western Himalaya using Regcm3. Pure Appl Geophys 164:1733–1746

    Article  Google Scholar 

  • Dimri AP, Chevuturi A, Niyogi D, Thayyen RJ, Ray K, Tripathi SN, Pandey AK, Mohanty UC (2017) Cloudbursts in Indian Himalayas: a review. Earth Sci Rev 168:1–23

    Article  Google Scholar 

  • Dinku T, Chidzambwa S, Ceccato P, Connor SJ, Ropelewski CF (2008) Validation of High-resolution satellite rainfall products over complex terrain. Int J Remote Sens 29:4097–4110

    Article  Google Scholar 

  • Ebert EE, Janowiak JE, Kidd C (2007) Comparison of near-real-time precipitation estimates from satellite observations and numerical models. Bull Am Meteorol Soc 88:47–64

    Article  Google Scholar 

  • Ferraro RR, Marks GF (1995) The development of SSM/I rain rate retrieval algorithms using ground based radar measurements. J Atmos Ocean Technol 12:755–770

    Article  Google Scholar 

  • Francis PA, Gadgil S (2006) intense rainfall events over the West Coast of India. Meteorol Atmos Phys 94:27–42

    Article  Google Scholar 

  • Gadgil S (2003) The Indian monsoon and its variability. Ann Rev Earth Planet Sci 31:429–467

    Article  Google Scholar 

  • Gairola RM, Mishra A, Prakash S, Mahesh C (2010a). Rainfall estimation from Kalpana-1 IR data using GPI approach and initial validations using AWS observations. Sci Rep SAC/EPSA/AOSG/INSAT/SR-36/2010

  • Giorgi F, Francisco R, Pal J (2003) Effect of a subgrid-scale topography and land use scheme on the simulation of surface climate and hydrology. Part 1: effects of temperature and water vapor disaggregation. J Hydrometeorol 4:317–333

    Article  Google Scholar 

  • Goswami P, Ramesh KV (2007) Extreme rainfall events: vulnerability analysis for disaster management and observation system design. Curr Sci 94(8):1037–1044

    Google Scholar 

  • Goswami BN, Venugopal V, Sengupta D, Madhusoodanan MS, Xavier PK (2006) Increasing trend of extreme rain events over india in a warming environment. Science. https://doi.org/10.1126/science.1132027

    Google Scholar 

  • Graves CE (1993) A model for the beam-filling effect associated with the microwave retrieval of rain. J Atmos Ocean Tech 10:5–14

    Article  Google Scholar 

  • Houze RA Jr (2012) Orographic effects on precipitating clouds. Rev Geophys 50:RG1001. https://doi.org/10.1029/2011rg000365

    Article  Google Scholar 

  • Huffman G (2013) 3B42 Version 7 Web Description. http://trmm.gsfc.nasa.gov/3b42.html

  • Huffman GJ, Bolvin DT (2014) TRMM and other data precipitation data set documentation. https://pmm.nasa.gov/sites/default/files/imce/3B42_3B43_doc_V7.pdf

  • Huffman GJ, Bolvin DT, Nelkin EJ, Adler RF (2010) Highlights of version 7 TRMM multi-satellite precipitation analysis (TMPA). In: Proceedings of the 5th international precipitation working group workshop, Hamburg, Germany, 11–15 October 2010

  • Jarvis A, Rubiano J, Nelson A, Farrow A, Mulligan M (2004) Practical use of SRTM data in the tropics: comparisons with digital elevation models generated from cartographic data. http://srtm.csi.cgiar.org/PDF/Jarvis4.pdf

  • Kaila VK, Kumar ASK, Sundarmurthy TK, Ramkrishnan S, Prasad MVS, Desai PS (2002) METSAT—a unique mission for weather and climate. Curr Sci 83:1081–1088

    Google Scholar 

  • Kidder SQ, VonderHaar TH (1995) Satellite meteorology an introduction. Academic Press, Cambridge

    Google Scholar 

  • Kriplani RH, Kulkarni A, Sabade SS (2003) Western Himalayan snow cover and Indian monsoon rainfall: a re-examination with INSAT and NCEP/NCAR data. Theor Appl Climatol 74:1–18

    Article  Google Scholar 

  • Li X (2014) Zhang Q and Chong-Yu X (2013) Assessing the performance of satellite-based precipitation products and its dependence on topography over Poyang Lake basin. Theor Appl Climatol 115:713–729

    Article  Google Scholar 

  • Liu G (2003) Determination of cloud and precipitation characteristics in the monsoon region using satellite microwave and infrared observations. Mausam (India) 54:51

    Google Scholar 

  • Mann CF, Kuo YH (1998) Regional real time numerical weather prediction: current status and future potential. Bull Am Meteorol Soc 79:253–263

    Article  Google Scholar 

  • Medina S, Houze RA, Kumar A Jr, Niyogi D (2010) Summer monsoon convection in the himalayan region: terrain and land cover effects. Q J R Meteorol Soc 136:593–616

    Google Scholar 

  • Mishra A, Gairola RM, Varma AK, Agarwal VK (2010) Remote sensing of precipitation over Indian land and oceanic regions by synergistic use of multi-satellite sensors. J Geophys Res 115:D08106

    Google Scholar 

  • National Space Development Agency of Japan (NASDA) Earth Observation Center (2001) TRMM data users handbook. www.eorc.jaxa.jp/TRMM/document/text/handbook_e.pdf

  • Pai DS, Sridhar L, Rajeevan M, Sreejith OP, Satbhai NS, Mukhopadhyay B (2013) Development and analysis of a new high spatial resolution (0.25 × 0.25 deg.) long period (1901–2010) daily gridded rainfall data set over India, NCC RR no. 1/2013. IMD, Pune

  • Pai DS, Sridhar L, Rajeevan M, Sreejith OP, Satbhai NS, Mukhopadhyay B (2014) Development of a new high spatial resolution (0.25° × 0.25°) long period (1901–2010) daily gridded rainfall data set over India and its comparison with existing data sets over the region. Mausam 65(1):1–18

    Google Scholar 

  • Paula A, Lettenmaier P (1994) Dynamic modelling of orographically induced precipitation. Rev Geophys 32(3):265–284

    Article  Google Scholar 

  • Pielke RA Sr (2001) Influence of the spatial distribution of vegetation and soils on the prediction of cumulus convective rainfall. Rev Geophys 39:151–177

    Article  Google Scholar 

  • Prakash SC, Mahesh C, Mishra A, Gairola RM, Varma AK, Pal PK (2009) Combined use of microwave and IR data for the study of Indian monsoon rainfall-2009. In: ISPRS archives XXXVIII-8/W3 workshop proceedings: impact of climate change on agriculture. Ahmedabad, India, December, pp 227–230

  • Prakash S, Mahesh C, GairolaRM Pal PK (2010) Estimation of Indian summer monsoon rainfall using Kalpana-1 VHRR data and its validation using rain gauge and GPCP data. Meteorol Atmos Phys 110:45–57

    Article  Google Scholar 

  • Prakash S, Mahesh C, Gairola RM (2011) Largescale precipitation estimation using Kalpana-1 IR measurements and its validation using GPCP and GPCC data. Theor Appl Climatol 106:283–293

    Article  Google Scholar 

  • Punay JP, Perez GJP (2014) Evaluation of modis cloud product-derived rainfall estimates. Asian As Remote Sens Proc 03:1–5

    Google Scholar 

  • Rajeevan M, Bhate J, Jaswal AK (2008) Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data. Geophys Res Lett 35:L18707

    Article  Google Scholar 

  • Shrestha D, Singh P, Nakamura K (2012) Spatiotemporal variation of rainfall over the central Himalayan region revealed by TRMM precipitation radar. J Geophys Res Atmos 117:D22106

    Article  Google Scholar 

  • Singh P, Kumar N (1997) Effect of orography on precipitation in the Western Himalayan region. J Hydrol 199:183–206

    Article  Google Scholar 

  • Smith RB (1979) The influence of mountains on the atmosphere. Adv Geophys 21:87–230

    Article  Google Scholar 

  • Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) (2007) Contribution of working group I to the 4th assessment report of the Intergovernmental Panel on Climate Change

  • Sumner G (1988) Precipitation process and analysis. Wiley, Hoboken. ISBN 0-471-90534-8

    Google Scholar 

  • Thayyen RJ, Dimri AP, Kumar P, Agnihotri G (2013) Study of cloudburst and flash floods around Leh, India, during August 4–6, 2010. Nat Hazards 65:2175–2204

    Article  Google Scholar 

  • Zulkafli Z, Buytaert W, Onof C, Bastianmanz Tarnavsky E, Lavado W, Guyot J (2014) A comparative performance analysis of TRMM 3B42 (TMPA) Versions 6 and 7 for hydrological applications over Andean-Amazon River Basins. J Hydrometeorol 15:581–592

    Article  Google Scholar 

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Acknowledgements

The present work is a part of NMHS Project and authors thankfully acknowledge the support and encouragement provided by MOEF&CC. We convey thanks to the MOSDAC data portal for providing the Indian Meteorological Satellite Data, NASA for the TRMM3B42 data and Indian Meteorological Department for providing high-resolution gridded rainfall data for research purpose.

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  1. School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India

    Arkadeb Banerjee & A. P. Dimri

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Banerjee, A., Dimri, A.P. Comparative analysis of two rainfall retrieval algorithms during extreme rainfall event: a case study on cloudburst, 2010 over Ladakh (Leh), Jammu and Kashmir. Nat Hazards 97, 1357–1374 (2019). https://doi.org/10.1007/s11069-019-03714-0

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