Geomorphological origin of recession curves B Biswal, M Marani Geophysical Research Letters 37 (24), 2010 | 221 | 2010 |
Study of dynamic behaviour of recession curves B Biswal, D Nagesh Kumar Hydrological Processes 28 (3), 784-792, 2014 | 87 | 2014 |
‘Universal’recession curves and their geomorphological interpretation B Biswal, M Marani Advances in water resources 65, 34-42, 2014 | 75 | 2014 |
Predicting streamflow distributions and flow duration curves from landscape and climate B Doulatyari, A Betterle, S Basso, B Biswal, M Schirmer, G Botter Advances in Water Resources 83, 285-298, 2015 | 69 | 2015 |
Effect of catchment characteristics on the relationship between past discharge and the power law recession coefficient S Patnaik, B Biswal, DN Kumar, B Sivakumar Journal of Hydrology 528, 321-328, 2015 | 45 | 2015 |
A general geomorphological recession flow model for river basins B Biswal, D Nagesh Kumar Water Resources Research 49 (8), 4900-4906, 2013 | 39 | 2013 |
What mainly controls recession flows in river basins? B Biswal, DN Kumar Advances in water resources 65, 25-33, 2014 | 38 | 2014 |
Estimation of ‘drainable’storage–A geomorphological approach B Biswal, DN Kumar Advances in water resources 77, 37-43, 2015 | 28 | 2015 |
Role of hydrological model structure in the assimilation of soil moisture for streamflow prediction AK Nayak, B Biswal, KP Sudheer Journal of Hydrology 598, 126465, 2021 | 25 | 2021 |
Dynamic hydrologic modeling using the zero‐parameter Budyko model with instantaneous dryness index B Biswal Geophysical Research Letters 43 (18), 9696-9703, 2016 | 25 | 2016 |
Regional variation of recession flow power‐law exponent S Patnaik, B Biswal, D Nagesh Kumar, B Sivakumar Hydrological Processes 32 (7), 866-872, 2018 | 23 | 2018 |
Recession flow prediction in gauged and ungauged basins by just considering past discharge information C Reddyvaraprasad, S Patnaik, B Biswal Hydrological Sciences Journal 65 (1), 21-32, 2020 | 22 | 2020 |
Flood inundation mapping by combining GNSS-R signals with topographical information SLK Unnithan, B Biswal, C Rüdiger Remote Sensing 12 (18), 3026, 2020 | 20 | 2020 |
Incorporating channel network information in hydrologic response modelling: Development of a model and inter-model comparison B Biswal, R Singh Advances in Water Resources 100, 168-182, 2017 | 18 | 2017 |
A novel framework to determine the usefulness of satellite-based soil moisture data in streamflow prediction using dynamic Budyko model AK Nayak, B Biswal, KP Sudheer Journal of Hydrology 595, 125849, 2021 | 14 | 2021 |
Importance of nutrient loading and irrigation in gross primary productivity trends in India S Patnaik, B Biswal Journal of Hydrology 588, 125047, 2020 | 13 | 2020 |
Decorrelation is not dissociation: there is no means to entirely decouple the Brutsaert-Nieber parameters in streamflow recession analysis B Biswal Advances in Water Resources 147, 103822, 2021 | 11 | 2021 |
Characterization of basin-scale dynamic storage–discharge relationship using daily GRACE based storage anomaly data D Sharma, S Patnaik, B Biswal, JT Reager Geosciences 10 (10), 404, 2020 | 11 | 2020 |
Can a Calibration-Free Dynamic Rainfall‒Runoff Model Predict FDCs in Data-Scarce Regions? Comparing the IDW Model with the Dynamic Budyko Model in South India A Nag, B Biswal Hydrology 6 (2), 32, 2019 | 11 | 2019 |
Value of process understanding in the era of machine learning: A case for recession flow prediction P Istalkar, A Kadu, B Biswal Journal of Hydrology 626, 130350, 2023 | 10 | 2023 |