1

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 

2

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  

3

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

4

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

5

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

6

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

7

Manu K Soman and J. Indu (2024), Extending the historical in situ gauge network over Indian river reaches utilizing the Surface Water and Ocean Topography (SWOT) mission, Hydrological Sciences (accepted and under print)

8

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

9

Nitish Kumar and J.Indu (2024), Integration of dynaMic water extents towards imProved lake wAter suRface Temperature (IMPART), Journal of Environmental Management (accepted and in press, IF = 8.91

10

Girish Patidar, J Indu, Subhankar Karmakar (2024), ExtendiG SUb-DAily River Discharge data over India (GUARDIAN), NATURE Scientific Data (in press)

11

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, 

12

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

13

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

14

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

15

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

16

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

17

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

18

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

19

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

20

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

21

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

22

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

23

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

24

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

25

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

26

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

27

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

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

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

30

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

31

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

32

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.

33

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

34

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

35

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

36

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

37

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

38

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

39

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

40

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

41

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

42

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

43

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

44

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

45

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

46

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

47

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

48

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

49

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

50

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. 

51

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. Scientific Reports (Accepted and in press).