New Papers published in 'HESS' and 'Environment, Development and Sustainability'
Journal Publications
Impact-based forecasting
Singhal A, Raman A, Jha SK. 2022. Potential Use of Extreme Rainfall Forecast and Socio-Economic Data for Impact-Based Forecasting at the District Level in Northern India. Frontiers in Earth Science. Frontiers, 0: 761.
Singhal, A, Crochemore, L., Ruin, I., & Jha, S. (2024). INSPIRE Game: Integration of vulnerability in impact-based forecasting of urban floods. Hydrology and Earth System Sciences, 2024, 1-37. https://doi.org/10.5194/hess-29-947-2025
Spatio-temporal evaluation of extreme events
Singhal A, Jaseem M, Jha SK. (2023). Spatial connections in extreme precipitation events obtained from NWP forecasts: A complex network approach. Atmospheric Research, 282, 106538. https://doi.org/10.1016/j.atmosres.2022.106538
Singhal A, Jaseem M, Sarker S, Prajapati P, Singh A, Jha SK. (2023). Identifying Potential Locations of Hydrologic Monitoring Stations Based on Topographical and Hydrological Information. Water Resources Management, 1-16. https://doi.org/10.1007/s11269-023-03675-x
Geostatistical downscaling
Singhal A, Jha SK. (2021). An application of Multiple-point statistics downscaling approach over North-West Himalayas in avalanche-prone areas. International Journal of Climatology, (June): 1–20. https://doi.org/10.1002/joc.7342
Singhal A, Cheriyamparambil A, Jha SK. 2022a. Spatial extrapolation of statistically downscaled weather data over the Northwest Himalayas at major glacier sites. Environmental Modelling and Software. Elsevier Ltd, 149(December 2021): 105317. https://doi.org/10.1016/j.envsoft.2022.105317
Singhal A, Cheriyamparambil A, Samal N, Jha SK. (2023). Relating forecast and satellite precipitation to generate future skillful ensemble forecasts over the northwest Himalayas at major avalanche and glacier sites. Journal of Hydrology, 616, 128795. https://doi.org/10.1016/j.jhydrol.2022.128795
Vulnerability Assessment
Singhal A, Jha SK. (2021). Can the approach of vulnerability assessment facilitate identification of suitable adaptation models for risk reduction? International Journal of Disaster Risk Reduction. Elsevier Ltd, 63(July): 102469. https://doi.org/10.1016/j.ijdrr.2021.102469
Singhal, A., Kavya, M., & Jha, S. K. (2025). A multi-aggregation approach to estimate avalanche vulnerability and suggest phase-wise adaptation. Environment, Development and Sustainability, 1-26. https://doi.org/10.1007/s10668-025-06015-8
Prajapati, P., Singhal, A., & Jha, S. K. (2025). Analysis of urban flood vulnerability at the sub-city administrative unit level in Mumbai: A comparison over two time periods. Urban Climate, 62, 102536. https://doi.org/10.1016/j.uclim.2025.102536
Others
Samal N, Ashwin R, Singhal A, Jha SK, Robertson DE. (2023). Using a Bayesian joint probability approach to improve the skill of medium-range forecasts of the Indian summer monsoon rainfall. Journal of Hydrology: Regional Studies, 45, 101284. https://doi.org/10.1016/j.ejrh.2022.101284
Singh A, Singhal A, Ashwin R, Samal N, Pandey R, Jha SK. (2023). Towards the selection of a longer record of quantitative precipitation forecast dataset from TIGGE ensembles for India during the monsoon season. International Journal of River Basin Management, 1-23. https://doi.org/10.1080/15715124.2023.22709711
Book Chapter
Singhal A, Prashant. (2020). Biofuels: Perspective for Sustainable Development and Climate Change Mitigation. In Biotechnology for Biofuels: A Sustainable Green Energy Solution (pp. 1-22). Springer, Singapore. https://doi.org/10.1007/978-981-15-3761-51
Conference Proceedings
2025:
Singhal, A., Karimi, S., & Moradkhani, H. An ML-based approach to develop a metropolitan-scale flood impact database. In HEPEX (Hydrologic Ensemble Prediction EXperiment) 2025 Workshop.
2023:
Singhal A, Samal N, Jha S, Crochemore L, Ruin I. (2023). Improved flood-related decision-making in case of urban flash floods in a metropolitan city of India (No. EGU23-1569). Copernicus Meetings. https://ui.adsabs.harvard.edu/link_gateway/2023EGUGA..25.1569S/doi:10.5194/egusphere-egu23-1569
Samal N, Singhal A, Singh A, Jha SK. (2023). Statistical generation of fine-resolution precipitation data in Ganga and Godavari River basins of India using limited training datasets (No. EGU23-1536). Copernicus Meetings. https://doi.org/10.5194/egusphere-egu23-1536
2022:
Singhal, A., Jaseem, M., Singh, A., & Jha, S. (2022, December). Identification of Critical Stream Gauge Locations in the Ganga River Basin. In AGU Fall Meeting Abstracts (Vol. 2022, pp. H46G-08).
Singhal A, Raman A, Jha S. (2022, May). Towards use of extreme rainfall forecast and socio-economic data to generate Impact-based forecasts. In EGU General Assembly Conference Abstracts (pp. EGU22-10916). https://doi.org/10.5194/egusphere-egu22-10916
2021:
Singhal A, Jha S. (2021, December). Assessing the temporal evolution of spatial structure and synchronization of extreme rainfall over Ganga River basin. In AGU Fall Meeting Abstracts (Vol. 2021, pp. A25H-1762).
Singhal A, Jha S. (2021). A complex network approach to evaluate multiple Quantitative Precipitation Forecast based on spatial characteristics of extreme rainfall. Abstract presented at International Symposium on Tropical Meteorology (INTROMET).
Singhal A, Jha S. (2021, April). A Statistical Approach to generate ensembles of observation data of precipitation using hindcast data over the Northwest Himalayas. In EGU General Assembly Conference Abstracts (pp. EGU21-6991). https://doi.org/10.5194/egusphere-egu21 6991
Singla S, Singhal A, Singh A, Jha S. (2021, December). Assessing the effect of using only important rain gauges in a network on the interpolated precipitation map and on the generated streamflow. In AGU Fall Meeting Abstracts (Vol. 2021, pp. H15T-1279).
2020:
Singhal A, Jha S, Samal N. (2020, December). A Statistical Approach to extend Fine Scale Weather Data over the Northwest Himalayas. In AGU Fall Meeting Abstracts (Vol. 2020, pp. H169-0001).
Singhal A, Jha S. (2020). A Geostatistical approach to generate weather information over the Northwest Himalayas at fine spatial grids. Abstract presented at Virtual Symposium on Tropical Meteorology (TROPMET).