Articles | Volume 385
https://doi.org/10.5194/piahs-385-203-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-385-203-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Assessment of Hydrological Changes in Godavari River Basin Under the Impacts of El-Niño
Department of WRD&M, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Kasiapillai Sudalaimuthu Kasiviswanathan
Department of WRD&M, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Claudia Teutschbein
Department of Earth Sciences, Uppsala University, Uppsala, 75236, Sweden
Bankaru-Swamy Soundharajan
Department of Civil Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, 641112, India
M M Diwan Mohaideen
Department of WRD&M, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Venkatesh Budamala
Department of WRD&M, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Related authors
No articles found.
Anne F. Van Loon, Sarra Kchouk, Alessia Matanó, Faranak Tootoonchi, Camila Alvarez-Garreton, Khalid E. A. Hassaballah, Minchao Wu, Marthe L. K. Wens, Anastasiya Shyrokaya, Elena Ridolfi, Riccardo Biella, Viorica Nagavciuc, Marlies H. Barendrecht, Ana Bastos, Louise Cavalcante, Franciska T. de Vries, Margaret Garcia, Johanna Mård, Ileen N. Streefkerk, Claudia Teutschbein, Roshanak Tootoonchi, Ruben Weesie, Valentin Aich, Juan P. Boisier, Giuliano Di Baldassarre, Yiheng Du, Mauricio Galleguillos, René Garreaud, Monica Ionita, Sina Khatami, Johanna K. L. Koehler, Charles H. Luce, Shreedhar Maskey, Heidi D. Mendoza, Moses N. Mwangi, Ilias G. Pechlivanidis, Germano G. Ribeiro Neto, Tirthankar Roy, Robert Stefanski, Patricia Trambauer, Elizabeth A. Koebele, Giulia Vico, and Micha Werner
EGUsphere, https://doi.org/10.5194/egusphere-2024-421, https://doi.org/10.5194/egusphere-2024-421, 2024
Short summary
Short summary
Drought is a creeping phenomenon, but it is often still analysed and managed like an event without taking into consideration what happened before and after. In this paper we review the literature and discuss five cases, where drought, its impacts and responses develop differently over time. We look at the hydrological, ecological and social system and their connections. And we provide suggestions for further research and for monitoring, modelling and management.
Veit Blauhut, Michael Stoelzle, Lauri Ahopelto, Manuela I. Brunner, Claudia Teutschbein, Doris E. Wendt, Vytautas Akstinas, Sigrid J. Bakke, Lucy J. Barker, Lenka Bartošová, Agrita Briede, Carmelo Cammalleri, Ksenija Cindrić Kalin, Lucia De Stefano, Miriam Fendeková, David C. Finger, Marijke Huysmans, Mirjana Ivanov, Jaak Jaagus, Jiří Jakubínský, Svitlana Krakovska, Gregor Laaha, Monika Lakatos, Kiril Manevski, Mathias Neumann Andersen, Nina Nikolova, Marzena Osuch, Pieter van Oel, Kalina Radeva, Renata J. Romanowicz, Elena Toth, Mirek Trnka, Marko Urošev, Julia Urquijo Reguera, Eric Sauquet, Aleksandra Stevkov, Lena M. Tallaksen, Iryna Trofimova, Anne F. Van Loon, Michelle T. H. van Vliet, Jean-Philippe Vidal, Niko Wanders, Micha Werner, Patrick Willems, and Nenad Živković
Nat. Hazards Earth Syst. Sci., 22, 2201–2217, https://doi.org/10.5194/nhess-22-2201-2022, https://doi.org/10.5194/nhess-22-2201-2022, 2022
Short summary
Short summary
Recent drought events caused enormous damage in Europe. We therefore questioned the existence and effect of current drought management strategies on the actual impacts and how drought is perceived by relevant stakeholders. Over 700 participants from 28 European countries provided insights into drought hazard and impact perception and current management strategies. The study concludes with an urgent need to collectively combat drought risk via a European macro-level drought governance approach.
Faranak Tootoonchi, Jan Olaf Haerter, Olle Räty, Thomas Grabs, Mojtaba Sadegh, and Claudia Teutschbein
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-306, https://doi.org/10.5194/hess-2020-306, 2020
Preprint withdrawn
Short summary
Short summary
The motive behind writing this paper is the growing interest in adopting copulas in hydroclimatic applications. We performed an
in-depth copula analysis on a case study in Sweden to show strength, significance, variability and non-stationarity of correlation between precipitation and temperature variables. As our final product, we illustrate a comprehensive decision support framework to support end users in adopting copulas for hydroclimatic applications.
Adebayo J. Adeloye and Bankaru-Swamy Soundharajan
Proc. IAHS, 379, 21–29, https://doi.org/10.5194/piahs-379-21-2018, https://doi.org/10.5194/piahs-379-21-2018, 2018
Short summary
Short summary
We assessed the effects of different modes of operating reservoir on its ability to moderate water shortage impacts caused by climate change. The operating rule approach was enhanced by hedging using multiple zones and monthly rationing ratios for curtailment of water release. The results showed that basic hedging with single zone and constant rationing ratio caused significant reduction in water shortage during severe droughts. More complex operation modes produced only modest improvement.
Fernando Jaramillo, Neil Cory, Berit Arheimer, Hjalmar Laudon, Ype van der Velde, Thomas B. Hasper, Claudia Teutschbein, and Johan Uddling
Hydrol. Earth Syst. Sci., 22, 567–580, https://doi.org/10.5194/hess-22-567-2018, https://doi.org/10.5194/hess-22-567-2018, 2018
Short summary
Short summary
Which is the dominant effect on evapotranspiration in northern forests, an increase by recent forests expansion or a decrease by the water use response due to increasing CO2 concentrations? We determined the dominant effect during the period 1961–2012 in 65 Swedish basins. We used the Budyko framework to study the hydroclimatic movements in Budyko space. Our findings suggest that forest expansion is the dominant driver of long-term and large-scale evapotranspiration changes.
Stephen Oni, Martyn Futter, Jose Ledesma, Claudia Teutschbein, Jim Buttle, and Hjalmar Laudon
Hydrol. Earth Syst. Sci., 20, 2811–2825, https://doi.org/10.5194/hess-20-2811-2016, https://doi.org/10.5194/hess-20-2811-2016, 2016
Short summary
Short summary
This paper presents an important framework to improve hydrologic projections in cold regions. Hydrologic modelling/projections are often based on model calibration to long-term data. Here we used dry and wet years as a proxy to quantify uncertainty in projecting hydrologic extremes. We showed that projections based on long-term data could underestimate runoff by up to 35% in boreal regions. We believe the hydrologic modelling community will benefit from new insights derived from this study.
C. Teutschbein and J. Seibert
Hydrol. Earth Syst. Sci., 17, 5061–5077, https://doi.org/10.5194/hess-17-5061-2013, https://doi.org/10.5194/hess-17-5061-2013, 2013
Cited articles
Ashok, K., Guan, Z., Saji, N. H., and Yamagata, T.: Individual and combined influences of ENSO and the Indian Ocean Dipole on the Indian summer monsoon, J. Climate, 17, 3141–3155, https://doi.org/10.1175/15200442(2004)017<3141:IACIOE>2.0.CO;2, 2004.
Bothale, R. V. and Katpatal, Y. B.: Trends and Anomalies in Extreme Climate Indices and Influence of El Niño and La Niña over Pranhita Catchment in Godavari Basin, India, J. Hydrol. Eng., 21, 05015023, https://doi.org/10.1061/(asce)he.1943-5584.0001283, 2016.
Chavadekar, A. U. and Kashid, S. S.: Meteorological drought prediction of marathwada subdivision based on hydro-climatic inputs using genetic programming, ISH Journal of Hydraulic Engineering, 27, 229–241, https://doi.org/10.1080/09715010.2019.1620647, 2021.
Cherchi, A. and Navarra, A.: Influence of ENSO and of the Indian Ocean Dipole on the Indian summer monsoon variability, Clim. Dynam., 41, 81–103, https://doi.org/10.1007/s00382-012-1602-y, 2013.
Dixit, S. and Jayakumar, K. V.: A study on copula – based bivariate and trivariate drought assessment in Godavari River basin and the teleconnection of drought with large – scale climate indices, Theor. Appl. Climatol., 1335–1353, https://doi.org/10.1007/s00704-021-03792-w, 2021.
Dixit, S., Tayyaba, S., and Jayakumar, K. V.: Spatio-temporal variation and future risk assessment of projected drought events in the Godavari River basin using regional climate models, J. Water Clim. Change, 12, 3240–3263, https://doi.org/10.2166/wcc.2021.093, 2021.
Duhan, D., Pandey, A., and Srivastava, P.: Rainfall variability and its association with El Niño Oscillation in Tons River Basin, India, Meteorol. Atmos. Phys., 130, 405–425, https://doi.org/10.1007/s00703-017-0525-x, 2018.
Franchini, M. and Pacciani, M.: Comparative analysis of several conceptual rainfall-runoff models, J. Hydrol., 122, 161–219, https://doi.org/10.1016/0022-1694(91)90178-K, 1991.
Geethalakshmi, V., Yatagai, A., Palanisamy, K., and Umetsu, C.: Impact of ENSO and the Indian Ocean Dipole on the north-east monsoon rainfall of Tamil Nadu State in India, Hydrol. Process., 647, 633–647, https://doi.org/10.1002/hyp.7191, 2009.
Ihara, C., Kushnir, Y., Cane, M. A., and Peña, V. H. D. L.: Indian summer monsoon rainfall and its link with ENSO and Indian Ocean climate indices, Int. J. Climatol., 187, 179–187, https://doi.org/10.1002/joc, 2007.
Kakatkar, R., Gnanaseelan, C., Chowdary, J. S., Parekh, A., and Deepa, J. S.: Indian summer monsoon rainfall variability during 2014 and 2015 and associated Indo-Pacific upper ocean temperature patterns, Theor. Appl. Climatol., 1235–1247, https://doi.org/10.1007/s00704-017-2046-4, 2018.
Kulkarni, A., Gadgil, S., and Patwardhan, S.: Monsoon variability, the 2015 Marathwada drought and rainfed agriculture, Curr. Sci. India, 111, 1182–1193, https://doi.org/10.18520/cs/v111/i7/1182-1193, 2016.
Kumar, K. K., Rajagopalan, B., Hoerling, M., and Cane, M.: Unraveling the Mystery of Indian Monsoon Failure During El Niño, Science, 314, 115–119, https://doi.org/10.1126/science.1131152, 2006.
Lenka, S., Devi, R., Joseph, C. M., and Gouda, K. C.: Effect of large – scale oceanic and atmospheric processes on the Indian summer monsoon, Theor. Appl. Climatol., 1561–1576, https://doi.org/10.1007/s00704-021-03896-3, 2022.
Liang, X., Lettenmaier, D. P., Wood, E. F., and Burges, S. J.: A simple hydrologically based model of land surface water and energy fluxes for general circulation models, J. Geophys. Res., 99, 14415–14428, https://doi.org/10.1029/94jd00483, 1994.
Lohmann, D., Nolte-holube, R., and Raschke, E.: A large-scale horizontal routing model to be coupled to land surf ace parametrization schemes, Tellus A, 48, 708–721, https://doi.org/10.3402/tellusa.v48i5.12200, 1996.
Lohmann, D., Raschke, E., Nijssen, B., and Lettenmaier, D. P.: Regional scale hydrology : I . Formulation of the VIC-2L model coupled to a routing model, Hydrolog. Sci. J., 43, 131–141, https://doi.org/10.1080/02626669809492107, 1998.
Mishra, V., Shah, H., López, M. R. R., Lobanova, A., and Krysanova, V.: Does comprehensive evaluation of hydrological models influence projected changes of mean and high flows in the Godavari River basin?, Climatic Change, 163, 1187–1205, https://doi.org/10.1007/s10584-020-02847-7, 2020.
Pai, D. S., Sridhar, L., Rajeevan, M., Sreejith, O. P., Satbhai, N. S., and Mukhopadhyay, B.: 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, 1–18, https://doi.org/10.54302/mausam.v65i1.851, 2014.
Rajbanshi, J. and Das, S.: The variability and teleconnections of meteorological drought in the Indian summer monsoon season: Implications for staple crop production, J. Hydrol., 603, 126845, https://doi.org/10.1016/j.jhydrol.2021.126845, 2021.
Rajeevan, M. and Pai, D. S.: On the El Niño-Indian monsoon predictive relationships, Geophys. Res. Lett., 34, 1–4, https://doi.org/10.1029/2006GL028916, 2007.
Sai, M. S., Murthi, C. S., Chandrasekar, K., Jeyaseelan, A. T., Diwakar, P. G., and Dadhwal, V. K.: Agricultural drought: Assessment & monitoring, MAUSAM, 67, 131–142, https://doi.org/10.54302/mausam.v67i1.1155, 2016.
Schulte, J., Policielli, F., and Zaitchik, B.: A skewed perspective of the Indian rainfall–El Niño–Southern Oscillation (ENSO) relationship, Hydrol. Earth Syst. Sci., 24, 5473–5489, https://doi.org/10.5194/hess-24-5473-20200, 2020.
Singh, R. M. and Shukla, P.: Drought Characterization Using Drought Indices and El Niño Effects, Natl. Acad. Sci. Lett., 43, 339–342, https://doi.org/10.1007/s40009-019-00870-6, 2020.
Srivastava, A. K., Rajeevan, M., and Kshirsagar, S. R.: Development of a high resolution daily gridded temperature data set (1969–2005) for the Indian region, Atmos. Sci. Let., 10, 249–254, https://doi.org/10.1002/asl.232, 2009.
Varikoden, H. and Preethi, B.: Wet and dry years of Indian summer monsoon and its relation with Indo-Pacific sea surface temperatures, Int. J. Climatol., 1761–1771, https://doi.org/10.1002/joc.3547, 2013.
Varikoden, H., Revadekar, J. V., Choudhary, Y., and Preethi, B.: Droughts of Indian summer monsoon associated with El Niño and Non-El Niño years, Int. J. Climatol., 1925, 1916–1925, https://doi.org/10.1002/joc.4097, 2015.
Whitley, D.: A genetic algorithm tutorial, Stat. Comput., 4, 65–85, https://doi.org/10.1007/BF00175354, 1994.
Short summary
This study focuses on advancing the current understanding of the impacts of the El Niño events on the hydrology of the Godavari River Basin (GRB). Variable Infiltration Capacity (VIC) hydrological model was employed to assess the hydrological changes and found a negative correlation of average precipitation, abstractions, and soil moisture with increasing magnitude of El Niño events for the period 1980–2008.
This study focuses on advancing the current understanding of the impacts of the El Niño events...