1

Roy, D., Indu, J (2026), Assessment of Remote Sensing precipitation products for hydrological analysis in a ungauged watershed, Water Resources Management , 40, 45 (2026),  https:doi.org/10.1007/s11269-025-04459-1          

2

Milaa Zyad Murshan, Ropesh Goyal and J. Indu (2026), Deflection of the Vertical from SWOT Altimetry: Grid-Based Inversion versus Crossover Estimation in the Bay of Bengal, Marine Geodesy journal (accepted and in press)

3

Soman, M.K., Indu, J., Karmakar, S (2026), Assimilation of SWOT reach water surface elevation product toward enhanced basin-scale discharge modeling, Earth and Space Science, 13, e2025EA004527, https://doi/org/10.1029/2025EA004527

4

Rishikesh Kumar, Dibyandu Roy, J. Indu (2026), Comparative Assessment of Remote Sensing precipitation products for runoff estimation in Indian Watersheds, Journal of Hydrologic Engineering (accepted and in press)

5

Janardhanan, S., Nair, A., Indu, J., Pagendam, D., & Kaushika, G.S. (2023). Estimation of groundwater storage loss for the Ganga Basin using multiple lines of evidence. NATURE Scientific Reports, 13: 1797, | https://doi.org/10.1038/s41598-023-28615-y

6

Faisal Hossain and Pritam Das, Margaret Srinivasan, Vardis Tsontos, Catalina M.Oaida, Cassandra Nickles, Jack McNelis and Matthew Bonnema, Nicolas Picot and Santiago Peña-Luque, Bradley Doorn, Nadya Vinogradova Shiffer, Alice Andral, Lucile Gaultier, Indu Jayaluxmi, John Zhu and Nelun Fernando, Faizan-Ul-Hasan, Bareerah Fatima and Mufeezah Ahsan, C.T.Dhanya, Susantha Jayasinghe, Chinaporn Meechaiya and Miguel Barajas, Vivek Balakrishnan, Hisham Eldardiry, Mohamed Elkholy and Ahmed Abdelrazek, Luciana Fenoglio, Mike Durand, Rui Wei, Tamlin Pavelsky (2022), “Building user‐readiness for satellite earth observing missions: The case of the surface water and Ocean Topography (SWOT) mission,” AGU Advances, 3(6)., https://doi.org/10.1029/2022av000680. 

7

Girish Patidar, Subhankar Karmakar & J. Indu (2022) Flood Mapping from Proxy Surface Water and Ocean Topography (SWOT) Satellite Mission data over India, Geocarto International, DOI: 10.1080/10106049.2022.2113446

8

Krishnan, S., Pradhan, A., & Indu, J. (2022). Estimation of high-resolution precipitation using downscaled satellite soil moisture and SM2RAIN approach. Journal of Hydrology, 610, 127926. https://doi.org/10.1016/j.jhydrol.2022.127926

9

Nair, A. S., Soman, M. K., Girish, P., Karmakar, S., & Indu, J. (2022). Evaluating SWOT water level information using a large scale hydrology simulator: A case study over India. Advances in Space Research, 70(5), 1362–1374. https://doi.org/10.1016/j.asr.2022.05.001

10

Krishnan, S., Nair, A. S., Indu, J., Jove-Casulleras, R., & Gonzalvez-Foguet, R. (2022). Brightness temperature and emissivity retrieved from a portable L-band radiometer. International Journal of Remote Sensing, 43(7), 2503–2516. https://doi.org/10.1080/01431161.2022.2063039

11

Soman, M. K., & Indu, J. (2022). Sentinel-1 based Inland water dynamics Mapping System (SIMS). Environmental Modelling & Software, 149, 105305. https://doi.org/10.1016/j.envsoft.2022.105305

12

Garg, S., Motagh, M., Indu, J., & Karanam, V. (2022). Tracking hidden crisis in India’s capital from space: implications of unsustainable groundwater use. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-021-04193-9

13

Nair, A. S., Verma, K., Karmakar, S., Ghosh, S., & Indu, J. (2022). Exploring the potential of SWOT mission for reservoir monitoring in Mahanadi basin. Advances in Space Research, 69(3), 1481–1493. https://doi.org/10.1016/j.asr.2021.11.019

14

Indu, J., & Kumar, D. N. (2014). Copula-Based Modeling of TMI Brightness Temperature With Rainfall Type. IEEE Transactions on Geoscience and Remote Sensing, 52(8), 4832–4845. https://doi.org/10.1109/tgrs.2013.2285225

15

Indu, J., & Kumar, D. N. (2014). Evaluation of TRMM PR Sampling Error Over a Subtropical Basin Using Bootstrap Technique. IEEE Transactions on Geoscience and Remote Sensing, 52(11), 6870–6881. https://doi.org/10.1109/tgrs.2014.2304466

16

Indu, J., & Nagesh Kumar, D. (2015). Evaluation of Precipitation Retrievals From Orbital Data Products of TRMM Over a Subtropical Basin in India. IEEE Transactions on Geoscience and Remote Sensing, 53(12), 6429–6442. https://doi.org/10.1109/tgrs.2015.2440338

17

Indu, J., & Kumar, D. N. (2016). Rainfall screening methodology using TRMM data over a river basin. Hydrological Sciences Journal, 61(14), 2540–2551. https://doi.org/10.1080/02626667.2015.1133908

18

Nair, A., & Indu, J. (2016). Enhancing Noah Land Surface Model Prediction Skill over Indian Subcontinent by Assimilating SMOPS Blended Soil Moisture. Remote Sensing, 8(12), 976. https://doi.org/10.3390/rs8120976

19

Nair, A., & Indu, J. (2017). Performance Assessment of Multi-Source Weighted-Ensemble Precipitation (MSWEP) Product over India. Climate, 5(1), 2. https://doi.org/10.3390/cli5010002

20

Nair, A. S., & Indu, J. (2018). A Coupled Land Surface and Radiative Transfer Models Based on Relief Correction for a Reliable Land Data Assimilation Over Mountainous Terrain. IEEE Geoscience and Remote Sensing Letters, 15(11), 1657–1661. https://doi.org/10.1109/lgrs.2018.2854908

21

Ganesh, S., Pradhan, A., & Indu, J. (2019). Evaluation of GPM sampling error over major basins in Indian subcontinent using bootstrap technique. Advances in Space Research, 63(10), 3289–3302. https://doi.org/10.1016/j.asr.2019.01.031

22

Thiruvengadam, P., Indu, J., & Ghosh, S. (2019). Assimilation of Doppler Weather Radar data with a regional WRF-3DVAR system: Impact of control variables on forecasts of a heavy rainfall case. Advances in Water Resources, 126, 24–39. https://doi.org/10.1016/j.advwatres.2019.02.004

23

Nair, A. S., & Indu, J. (2019). Improvement of land surface model simulations over India via data assimilation of satellite-based soil moisture products. Journal of Hydrology, 573, 406–421. https://doi.org/10.1016/j.jhydrol.2019.03.088

24

Subimal Ghosh, Subhankar Karmakar, Anamitra Saha, Mohit Prakash Mohanty, Shees Alid, Satya Kiran Raju, Vrinda Krishnakumar, Maneesha Sebastian, Manasa Ranjan Behera, R. Ashrit, P. L. N Murty, K. Srinivas, B. Narasimhan, Tune Usha, M. V. Ramana Murthy,P Thiruvengadam, J. Indu, D. Thirumalaivasan, John P. George,  S. Gedam, A. B. Inamdar, B. S. Murty, P. P. Mujumdar, M. Mohapatra, Arun Bhardwaj, Swati Basu, Shailesh Nayak [2019], Development of India’s first integrated expert urban flood forecasting system for Chennai. Current Science, 117(5), 741-745.

25

Hossain, F., Bonnema, M., Srinivasan, M., Beighley, E., Andral, A., Doorn, B., Jayaluxmi, I., Jayasinghe, S., Kaheil, Y., Fatima, B., Elmer, N., Fenoglio, L., Bales, J., Lefevre, F., Legrand, S., Brunel, D., & Le Traon, P.-Y. (2020). The Early Adopter Program for the Surface Water Ocean Topography Satellite Mission: Lessons Learned in Building User Engagement during the Prelaunch Era. Bulletin of the American Meteorological Society, 101(3), E259–E264. https://doi.org/10.1175/bams-d-19-0235.1

26

Shrestha, A., Nair, A. S., & Indu, J. (2020). Role of precipitation forcing on the uncertainty of land surface model simulated soil moisture estimates. Journal of Hydrology, 580, 124264. https://doi.org/10.1016/j.jhydrol.2019.124264

27

Thiruvengadam, P., Indu, J., & Ghosh, S. (2020). Improving Convective Precipitation Forecasts Using Ensemble‐Based Background Error Covariance in 3DVAR Radar Assimilation System. Earth and Space Science, 7(4). https://doi.org/10.1029/2019ea000667

28

Nair, A. S., & Indu, J. (2020). Changing groundwater storage trend of India after severe drought. International Journal of Remote Sensing, 41(19), 7565–7584. https://doi.org/10.1080/01431161.2020.1763503

29

Mangla, R., J, I., & S.S., C. (2020). Inter-comparison of multi-satellites and Aeronet AOD over Indian Region. Atmospheric Research, 240, 104950. https://doi.org/10.1016/j.atmosres.2020.104950

30

Nair, A. S., Mangla, R., P, T., & Indu, J. (2020). Remote sensing data assimilation. Hydrological Sciences Journal, 1–33. https://doi.org/10.1080/02626667.2020.1761021

31

Thiruvengadam, P., Indu, J., & Ghosh, S. (2020). Significance of 4DVAR Radar Data Assimilation in Weather Research and Forecast Model‐Based Nowcasting System. Journal of Geophysical Research: Atmospheres, 125(11). https://doi.org/10.1029/2019jd031369

32

Krishnan, S., Nair, A. S., & Indu, J. (2020). Simulation of Passive Microwave Data Toward Efficient Assimilation Over Indian Subcontinent. IEEE Geoscience and Remote Sensing Letters, 1–5. https://doi.org/10.1109/lgrs.2020.2986011

33

Mangla, R., Indu, J., & Lakshmi, V. (2020). Evaluation of convective storms using spaceborne radars over the Indo‐Gangetic Plains and western coast of India. Meteorological Applications, 27(3). https://doi.org/10.1002/met.1917

34

Huggannavar, V., & Indu, J. (2020). Seasonal variability of soil moisture-precipitation feedbacks over India. Journal of Hydrology, 589, 125181. https://doi.org/10.1016/j.jhydrol.2020.125181

35

Chug, D., Pathak, A., Indu, J., Jain, S. K., Jain, S. K., Dimri, A. P., Niyogi, D., & Ghosh, S. (2020). Observed Evidence for Steep Rise in the Extreme Flow of Western Himalayan Rivers. Geophysical Research Letters, 47(15). https://doi.org/10.1029/2020gl087815

36

Prakash Mohanty, M., Nithya, S., Nair, A. S., Indu, J., Ghosh, S., Mohan Bhatt, C., Srinivasa Rao, G., & Karmakar, S. (2020). Sensitivity of various topographic data in flood management: Implications on inundation mapping over large data-scarce regions. Journal of Hydrology, 590, 125523. https://doi.org/10.1016/j.jhydrol.2020.125523

37

Pradhan, A., Nair, A. S., Indu, J., & Kirstetter, P.-E. (2021). Impact of sampling of GPM orbital data on streamflow simulations. Journal of Hydrology, 593, 125798. https://doi.org/10.1016/j.jhydrol.2020.125798

38

Nair, A. S., & Indu, J. (2021). Assessment of Groundwater Sustainability and Identifying Factors Inducing Groundwater Depletion in India. Geophysical Research Letters, 48(3). https://doi.org/10.1029/2020gl087255

39

Mangla, R., J, I., Chambon, P., & Mahfouf, J.-F. (2021). First steps towards an all-sky assimilation framework for tropical cyclone event over Bay of Bengal region: Evaluation and assessment of GMI radiances. Atmospheric Research, 257, 105564. https://doi.org/10.1016/j.atmosres.2021.105564

40

Thiruvengadam, P., J, I., & Ghosh, S. (2021). Radar reflectivity and radial velocity assimilation in a hybrid ETKF‐3DVAR system for prediction of a heavy convective rainfall. Quarterly Journal of the Royal Meteorological Society, 147(737), 2264–2280. https://doi.org/10.1002/qj.4021

41

Verma, K., Nair, A. S., Jayaluxmi, I., Karmakar, S., & Calmant, S. (2021). Satellite altimetry for Indian reservoirs. Water Science and Engineering, 14(4), 277–285. https://doi.org/10.1016/j.wse.2021.09.001

42

Verma, K., & J., I. (2021). Effect of satellite altimetry sampling error in estimating reservoir storage and outflow. Geocarto International, 1–11. https://doi.org/10.1080/10106049.2021.1980615

43

Nair, A. S., Kumar, N., Indu, J., & Vivek, B. (2021). Monitoring Lake Levels From Space: Preliminary Analysis With SWOT. Frontiers in Water, 3. https://doi.org/10.3389/frwa.2021.717852

44

Pradhan, A., & Indu, J. (2021). Assessment of SM2RAIN derived and IMERG based precipitation products for hydrological simulation. Journal of Hydrology, 603, 127191. https://doi.org/10.1016/j.jhydrol.2021.127191

45

Ankita Pradhan, Akhilesh S Nair, J. Indu, Olga Makarieva, N Nesterova (2023), Leveraging Soil Moisture Assimilation in Permafrost Affected Regions, Remote Sensing 15(6), 1532., https://doi.org/10.3390/rs15061532 , IF=5.34 

46

NA Anjita, J. Indu (2023), Leveraging weather radars for desert locust  monitoring, Remote Sensing Applications: Society and Environment, Volume 31, August 2023, 100983, https://doi.org/10.1016/j.rsase.2023.100983, IF = 4.7  

47

Sooraj Krishnan and J. Indu (2023), Assessing the potential of temperature/vegetation index space to infer soil moisture over Ganga basin, Journal of Hydrology, Volume 621, 129611,  https://doi.org/10.1016/j/hydrol.2023.129611, IF = 6.7

48

Vinayak H and J. Indu (2023), Ramifications of groundwater model in WRF/NoaH-MP coupled system: Effects on soil-moisture and regional climate simulation, Hydrological Processes, Volume 37, Issue 8, e14967, http://dx.doi.org/10.1002/hyp.14967, IF= 3.78

49

Vinayak Huggannavar and J. Indu (2023), Coupled weather-biosphere  model (WRF-VPRM) response to extreme land cover scenarios over Ganga basin: a cross-component analysis, Environmental Research Communications, Volume 5, Nunber 8, doi: 10.1088/2515-7620/acea1e, IF= 2.9

50

Ankita Pradhan and J. Indu (2023), Behaviour of IMERG precipitation extremes with temperature at different spatial resolution, Environmental Research Letters, Volume 18, Number 9, https://iopscience.iop.org/article/10.1088/1748-9326/acee9a, IF = 6.94

51

Soman, M. K., & Indu, J. (2024). Extending the historical in situ gauge network over Indian river reaches utilizing the Surface Water and Ocean Topography (SWOT) mission. Hydrological Sciences Journal, 69(10), 1261–1273. https://doi.org/10.1080/02626667.2024.2368755

52

Kaushlendra Verma and J. Indu (2023), Applicability of SWOT data in calibrating WRF-Hydro hydrological model over the Tawa river basin, Geocarto International, Volume 38, 2023-Issue 1, https://doi.org/10.1080/10106049.2023.2185292, IF = 3.45

53

Nitish Kumar and J.Indu (2024), Integration of dynaMic water extents towards imProved lake wAter suRface Temperature (IMPART), Journal of Environmental Management, IF = 8.91, https://www.sciencedirect.com/science/article/pii/S0301479724020619

54

Girish Patidar, J Indu, Subhankar Karmakar (2024), ExtendiG SUb-DAily River Discharge data over India (GUARDIAN), NATURE Scientific Data, Sci Data 11, 1155 (2024). https://doi.org/10.1038/s41597-024-03923-8

55

Rashmi Malik, Shradha Mohanty, J. Indu, Onkar Dikshit and Virendra S Rathore (2024), Characterization of Rainfall/Cloud Signature Using Fully Polarimetric X Band SAR Data, Journal of Indian Society of Remote Sensing, IF=2.2, 

56

Anjita N A, J Indu, Thiruvengadam P, Vishal Dixit, Arpita Rastogi, Bagavath Singh Arul Malar Kannan (2024), Doppler Weather Radars as a Game Changer in Desert Locust Swarm Tracking, Nature Scientific Reports 14, 31715,  https://doi.org/10.1038/s41598-024-81553-1

57

Anjita NA, J. Indu, Thiruvengadam P, Vishal Dixit, Arpita Rastogi, Bagavath Singh Arul Malar Kannan (2024), Harnessing single polarization doppler weather radars for tracking Desert Locust Swarms, arXiv:2410.15901, 2024

58

Aryalakshmi M, Indu. J and Karthikeyan L (2025), Resilience to Forest Fires: An Indicator-Based Study in a Tropical Forest of Uttarakhand, India, IEEE Geophysical Research Letters, IF=4, https://ieeexplore.ieee.org/document/10848435/

59

Girish Patidar, Adrien Paris, J. Indu, Subhankar Karmakar (2025), How can SWOT Derived Water Surface Elevations help calibrating a distributed Hydrological model? Journal of Hydrology, Volume 656, August 2025, 132968, https://doi.org/10.1016/j.jhydrol.2025.132968.

60

Margaret Srinivasan1, Vardis Tsontos1, Matthew Bonnema1, Santiago Peña-Luque2, Alexandre de Amorim-Teixeira3, Alexandre Abdalla Araujo3, Edward Beighley4, Charon Birkett5, Curtis Chen1, Cedric David1, Shailen Desai1, Alain Dib6, Brad Doorn5, Robert Dudley7, Bareerah Fatima8, Yannice Faugere2, Luciana Fenoglio9, Renato Frasson1, Chandana Gangodagamage5, Cyril Germineaud2, Stephanie Granger1, Isabel Houghton10, Gregg Jacobs11, Indu Jayaluxmi12, Pierre Yves Le Traon13, Christophe Marechal2, Daniel Moriera14, Cassandra Nickles1, Nicolas Picot2, Guy Schumann15, Annick Sylvestre-Baron2, Szupiany, Ricardo16, Catalina Taglialatela1, Babette Tchonang1, Paula Torre Zaffaroni17, Peter van Oevelen18, Parag Vaze1, Jinbo Wang1, Jerry Wegiel5, Bidhyananda Yadav19, Lionel Zawadzki2 (2025), Launching into Societal Benefits from the Surface Water and Ocean Topography (SWOT) Mission , Water Resources Research,  e2024WR038436.https://doi.org/10.1029/ 2024WR038436

61

Girish Patidar, J. Indu and Subhankar Karmakar (2025), Performance Assessment of Surface Water and Ocean Topography (SWOT) Mission for WSE Measurement across India, Geophysical Research Letters,52, e2025GL115804. https://doi.org/10.1029/2025GL115804

62

Kumar Nitish and J. Indu (2025), Evaluating interdependencies of lake water surface temperature and clarity (2025), Science of the Total Environment, Volume 966, 25 February 2025, 178695. Volume 966 2025, 178695, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2025.178695.

63

Sooraj Krishnan, J. Indu (2025), Evaluating soil moisture retrieved from a portable L band radiometer, Advances in Space Research, Volume 75, Issue 2, 2025, Pages 2018-2027,ISSN 0273-1177

64

Sreekanth J Kartha, Akhilesh S Nair, J. Indu, Dan P, Kaushika G S (2023),  Estimation of groundwater storage loss for the Ganga Basin using multiple lines of evidence", Nature Scientific Reports, 13, 1797, https://www.nature.com/articles/s41598-023-28615-y, IF = 4.99

65

Nitish Kumar and J. Indu (2025), Deciphering the Causes of Lake Expansion and Shrinkage in India Using Long term Satellite Data, Environmental Research (IF=7.7), Accepted and in press

66

Sooraj K, Ankita Pradhan, J. Indu (2022), Estimation of High-Resolution Precipitation using Downscaled Satellite Soil Moisture and SM2RAIN approach, Journal of Hydrology, Volume 610, 127926, https://doi.org/10.1016/j.jhydrol.2022.127926, IF = 6.7

67

Anjita NA, Biplab Banerjee, Indu Jayaluxmi, (2026), A Maxent based framework for modelling desert locust habitat transferability: Balancing accuracy and temporal transferability, Modelling Earth Systems and Environment, 12, 57 (2026), https://doi.org/10.1007/s40808-025-02701-8