Kironmala Chanda

发表

Bayesian Network based modeling of regional rainfall from multiple local meteorological drivers

P. Das, Kironmala Chanda, 2020 .

Future of solar energy potential in a changing climate across the world: A CMIP6 multi-model ensemble analysis

R. Maity, Kironmala Chanda, Riya Dutta, 2022, Renewable Energy.

Uncovering global climate fields causing local precipitation extremes

R. Maity, Kironmala Chanda, 2016 .

Changing spectral patterns of long‐term drought propensity in Iran through reliability–resilience–vulnerability‐based Drought Management Index

P. Mahmoudi, R. Maity, Kironmala Chanda, 2021, International Journal of Climatology.

Global Climate Pattern Behind Hydrological Extremes in Central India

R. Maity, Kironmala Chanda, 2018 .

Pre- and post-1975 scaling relationships of monsoon and non-monsoon hourly precipitation extremes with coincident temperature across urban India

S. Pasupuleti, Kironmala Chanda, Sachidanand Kumar, 2022, Journal of Hydrology.

Contrasting features of hydroclimatic teleconnections and the predictability of seasonal rainfall over east and west Japan

S. Behera, M. Nonaka, R. Maity, 2020, Meteorological Applications.

Influence of Air Temperature on Local Precipitation Extremes Across India

S. Pasupuleti, Kironmala Chanda, Sachidanand Kumar, 2021 .

Machine Learning-Based Rainfall Forecasting with Multiple Non-Linear Feature Selection Algorithms

D. A. Sachindra, P. Das, Kironmala Chanda, 2022, Water Resources Management.

A Bayesian network approach for understanding the role of large-scale and local hydro-meteorological variables as drivers of basin-scale rainfall and streamflow

P. Das, Kironmala Chanda, 2022, Stochastic Environmental Research and Risk Assessment.

Spatiotemporal analysis of extreme indices derived from daily precipitation and temperature for climate change detection over India

S. Pasupuleti, Kironmala Chanda, Sachidanand Kumar, 2020, Theoretical and Applied Climatology.

Potential of Deep Learning in drought assessment by extracting information from hydrometeorological precursors

R. Maity, S. Sarkar, Kironmala Chanda, 2021, Journal of Water and Climate Change.

Characterizing Drought Using the Reliability-Resilience-Vulnerability Concept

Ashish Sharma, Rajib Maity, Kironmala Chanda, 2013 .

Association of tropical daily precipitation extremes with physical covariates in a changing climate

S. Pasupuleti, Kironmala Chanda, Sachidanand Kumar, 2023, Stochastic Environmental Research and Risk Assessment.

Meteorological Drought Quantification with Standardized Precipitation Anomaly Index for the Regions with Strongly Seasonal and Periodic Precipitation

R. Maity, Kironmala Chanda, 2015 .

Spatiotemporal variation of long‐term drought propensity through reliability‐resilience‐vulnerability based Drought Management Index

Ashish Sharma, Rajeshwar Mehrotra, Rajib Maity, 2014 .

Do CMIP5 models hint at a warmer and wetter India in the 21st century

R. Maity, Ankit Aggarwal, Kironmala Chanda, 2016 .

Performance of Machine Learning algorithms for multi-step ahead prediction of reference evapotranspiration across various agro-climatic zones and cropping seasons

Kironmala Chanda, Nehar Mandal, 2023, Journal of Hydrology.

Assessment of Trend in Global Drought Propensity in the Twenty-First Century Using Drought Management Index

R. Maity, Kironmala Chanda, 2017, Water Resources Management.

Contribution of climate and catchment characteristics to runoff variations in Indian river basins: a climate elasticity approach

Kironmala Chanda, Nehar Mandal, 2023, Hydrological Sciences Journal.

Joint probabilistic behaviour of climate extremes over the Godavari River basin, India

Kironmala Chanda, Sachidanand Kumar, Nehar Mandal, 2024, International Journal of Climatology.

Optimal feature selection for improved ML based reconstruction of Global Terrestrial Water Storage Anomalies

Kironmala Chanda, Nehar Mandal, Prabal Das, 2022 .