Dr. Pankaj Kumar

Scopus Publications

Robust deep learning-based downscaling of mean and extreme precipitation over the Indian subcontinent
Midhun Murukesh, Pankaj Kumar
Environmental Research Climate, 2026
Downscaling bridges the gap between coarse-resolution global climate models and local impacts by improving the representation of regional variability and localized extremes. However, precipitation downscaling remains challenging due to its stochastic nature and highly skewed distribution. In this study, we investigate the generalization capability of a deep learning approach, the Super-Resolution Deep Residual Network (SRDRN), for gridded precipitation downscaling over the Indian subcontinent, considering four distinct regions: Central India (CI), Southern Peninsular India (SP), Northwest India (NW), and Northeast India (NE), with NE chosen as the transfer domain. The SRDRN is trained using samples from CI, SP, and NW with three loss functions: mean squared error (MSE), mean absolute error (MAE), and weighted MAE (WMAE), resulting in three model variants. All variants consistently outperform the baseline bias correction and spatial disaggregation (BCSD) method across standard pixel-wise metrics, including Kling–Gupta efficiency, root MSE (RMSE), and percent bias (PBIAS), and effectively capture localized extreme precipitation, preserving key indices such as the 99th percentile magnitude (R99), monthly maximum 1-day precipitation (Rx1Day), consecutive wet days (CWDs), consecutive dry days (CDDs), and the annual count of very heavy precipitation days (R20mm). Among the variants, SRDRN-WMAE shows the highest skill in representing extreme precipitation intensity, while SRDRN-MAE provides the most balanced performance across both intensity-based and persistence-based indices. In a zero-shot transfer setting, all SRDRN variants applied over NE without any domain-specific training consistently outperform BCSD, especially in capturing extreme precipitation, despite BCSD being explicitly calibrated for the NE region. The results indicate that SRDRN models learn transferable representations of precipitation structure that generalize effectively beyond their training domains. Overall, the results demonstrate that SRDRN is a robust, generalizable, and computationally efficient framework for high-resolution precipitation downscaling, with strong potential for applications in data-sparse and climatologically complex regions.
Preface to the WCRP CLIVAR/GEWEX Monsoon Panel Special Issue on Global and Regional Monsoons: State of the Art and Perspectives
Annalisa Cherchi, Satyaban Bishoyi Ratna, Rondrotiana Barimalala, Hiroshi G. Takahashi, Pankaj Kumar, Alice M. Grimm, Ruth Cerezo-Mota, Suryachandra A. Rao
Advances in Atmospheric Sciences, 2026
Quantifying potential forestation-induced variability in land surface temperature across India: a percentile-based and class-specific assessment
Jyoti Sharma, Pankaj Kumar
Environmental Research Climate, 2025
Forestations play a critical role in regulating temperature, with impacts evident at both global and regional scales. Although global-scale studies often highlight the cooling effects of forests through biogeochemical processes, relatively less emphasis has been placed on their biogeophysical influence on surface temperature at finer spatial scales. Given that climate warming is a global phenomenon, its impacts are often intensified locally. Assessing forestation-induced changes in daytime land surface temperature (LST) is crucial for understanding regional climate mitigation, particularly in human-dominated landscapes such as India. This study investigated forestation-induced changes in daytime LST across 14 major forest classes in India. We propose a percentile-based framework that links forest class fractions at the 75th, 85th, and 95th thresholds with variations in daytime LST to better quantify forestation-induced temperature changes, effectively capturing seasonal and class-specific variability at fine spatial resolution. Additionally, random forest regression was employed to identify the climatic drivers influencing forest greenness. The results demonstrate that the effect of forestation on daytime LST varies considerably across forest classes and percentile thresholds, with both cooling and warming effects. Cooling effects dominate in nine of the 14 classes, ranging from substantial cooling (−0.081 °C) in littoral and swamp forests (mangroves) to notable warming (+0.095 °C) in montane dry temperate forests of the Himalaya. A clear spatial and ecological pattern emerges, with low-elevation forest types generally exhibiting cooling, while high-altitude forest types show a tendency toward warming. Spatially, forestation is generally associated with cooling between 12–25° N latitude, while regions outside this band tend to experience warming. Variability in forest greenness is primarily explained by latent heat flux (LE), which accounts for over 70% of the variation in classes 4, 5, and 6, and by net photosynthesis, which accounts for up to 69.42% in class 14. The strong association between LE and forest greenness reflects the underlying coupling between evapotranspiration and photosynthetic activity in actively transpiring canopies. Additional influences of precipitation dynamics, drought conditions, and soil moisture availability further highlight the multifactorial regulation of leaf area index, an indicator of vegetation greenness. The study demonstrates that LST responses to forestation depend strongly on forest type and elevation. Low-elevation tropical and subtropical forests in central India cool the surface via enhanced evapotranspiration, while high-altitude temperate forests show localized warming, underscoring forest functional diversity in regional climate regulation.
Phytoplankton-light feedback delayed the appearance of Permanent Marine heatwave state in the Indian Ocean: insights from a regional earth system model
Anand Singh Dinesh, Disha Sachan, Pankaj Kumar, Anton Y. Dvornikov, Dmitry V. Sein
Climate Dynamics, 2025
Projected climatic exposure and velocities of precipitation extremes over India and its biogeographic zones
Disha Sachan, Amita Kumari, Pankaj Kumar
International Journal of Climatology, 2024
Climate change is leading to alterations in the dynamic and thermodynamic climate systems worldwide, including the Indian summer monsoon (ISM), which supports more than a billion population and drives the Indian economy. The anthropogenic climate change induces unprecedented transformations in the natural and ecological systems, such as the increased probability of precipitation extremes, changes in their frequency, duration and spatial variabilities. This current study aims to project the regional landscape‐based metric, velocity of climate change (VoCC) and associated climatic exposure regarding precipitation extremes (PEs) for India and its different biogeographic zones. The climate velocities of mean precipitation, 95th, 99.5th and 99.9th percentiles of precipitation for the ISM season are presented for the historical and three projected time slices under the RCP8.5 scenario. ROM, a state‐of‐the‐art regional earth system model over the CORDEX‐South Asia domain, was used in the study. It was observed that the intense and very intense rainfall (95th, 99.5th and 99.9th percentiles) was enhanced over most of the study region in the near‐ and mid‐future compared to the far‐future. The intense rainfall exhibited higher climate velocity than the mean and very intense precipitation in the near‐future. The southern part of the Indian subcontinent usually displayed positive VoCC values for the historical and near‐future time slices compared to the northern part of the Indian peninsula, particularly the intense and very intense precipitation. The climatic exposure for all‐India was also higher in the near‐ and mid‐future compared to the far‐future, especially for the intense rainfall followed by the mean and very intense rainfall. These results suggest the need for focusing the adaptation and mitigation measures towards managing the near‐term impacts of PEs in relation to the long‐term impacts, especially on the country's diverse flora.
Shifting climate and the associated impacts on regional biodiversity: a present and future outlook from the Indian subcontinent
Disha Sachan, Pankaj Kumar
Environmental Research Letters, 2024
Anthropogenic climate change accelerates the decline of global biodiversity and disrupts ecosystem functioning, forcing terrestrial and aquatic species to change their ranges, phenology, physiology, and morphology. In our study, we have employed univariate and a newly-defined vector-algebra-derived multivariate estimate of the velocity of climate change (VoCC) derived from near-surface temperature and total precipitation to present the historical (1980–2005) and projected (2020–2097) shifts in the climate space over the Indian subcontinent. The multivariate VoCC was further used to derive climatic divergence (stress) and residence time of eight representative protected areas (PAs). VoCC is a versatile metric that approximates the ‘required’ migration speeds for the species. Our results from observations (CRU, ERA5) and model simulations (CMIP5, Regional Earth System Model) show that regions with relatively flatter terrain, such as Deserts, Semi-Arid, Deccan Peninsula and Gangetic Plains, displayed the highest historical velocities in the range of 2–15 km yr−1, which are also projected to increase in the future period to range of 4–20 km yr−1. The estimates of multivariate velocities were generally higher than the univariate velocities, leading to a better representation of shifts in real climate space. The high-resolution regional earth system model, ROM, performed better than the global circulations models in producing realistic VoCCs. The climatic stress (diverging vectors closer to 180 degrees) was higher for the Trans-Himalayas, Himalayas, Gangetic Plains, and parts of the Deccan Peninsula, and it is projected to increase in the near and mid future. The PAs with the shortest residence times were found to be Sundarbans (63 years) and Ranthambore (32 years), illustrating a severe challenge for conservationists under changing climate. Our results present the importance of employing multivariate velocities to simulate more realistic estimates of shifting climate and added benefits of measures of climatic divergence and stress on biodiversity.
Characteristic Changes in the Strengthening Western Disturbances over Karakoram in Recent Decades
Aaquib Javed, Pankaj Kumar
Asia Pacific Journal of Atmospheric Sciences, 2024
An evaluation of digital filtering and 4DVar data assimilation in the WRF model towards the simulation of tropical cyclones
Gaurav Tiwari, Pankaj Kumar, Raj Pritam Gupta
Advances in Space Research, 2024
Downscaling and reconstruction of high-resolution gridded rainfall data over India using deep learning-based generative adversarial network
Midhun Murukesh, Sreevathsa Golla, Pankaj Kumar
Modeling Earth Systems and Environment, 2024
Analyzing future marine cold spells in the tropical Indian Ocean: Insights from a regional Earth system model
Anand Singh Dinesh, Pankaj Kumar, Alok Kumar Mishra, Lokesh Kumar Pandey, Mukul Tewari, William Cabos, Dmitry V. Sein
Quarterly Journal of the Royal Meteorological Society, 2024
In this study, a future projection of marine cold spells (MCSs) over the tropical Indian Ocean is made using a fully coupled regional Earth system model, namely ROM, under two representative concentration pathways (RCPs): RCP4.5 and RCP8.5. In both RCPs, the future MCS properties have been estimated across three distinct time intervals: the near future (NF; 2010–2039), the middle future (MF; 2040–2069), and the far future (FF; 2070–2099). The future MCS computations were examined with respect to fixed historical baseline periods and varying baseline periods. MCSs were frequent, intense, and prolonged during the historical period. ROM effectively simulated these historical MCS metrics and their trends and outperformed the forcing general circulation model as well as the multimodel ensemble mean of Coupled Model Intercomparison Project phase 5 models. In the future, MCSs will cease to occur in ∼13% (4%), ∼56% (66%) and ∼69% (93%) of the area of the tropical Indian Ocean in the NF, MF, and FF respectively under the RCP4.5 (RCP8.5) scenario using a fixed historical baseline period. This departure of MCSs led to the disappearance of events, first identified over the Arabian Sea in both RCPs. The decrease in net heat flux and increase in wind speed contribute to the genesis and severity of MCS events. Further, during the El Niño regime, the MCS events dramatically decrease due to the basin‐wide warming, but during the La Niña phase, the MCS intensity and spatial range increase. This study further investigates the sensitivity of MCSs with the choice of baseline period. Adopting varying baseline periods over time does not result in the disappearance of MCSs but does produce declining trends in MCS activity, highlighting the need for careful consideration in choosing a baseline period.
Comparative Assessment of Image Super-Resolution Techniques for Spatial Downscaling of Gridded Rainfall Data
Sreevathsa Golla, Midhun Murukesh, Pankaj Kumar
SN Computer Science, 2024
Marine heatwaves intensification, expansion and departure into the permanent state over the Tropical Indian Ocean: A regional earth system model assessment
Pankaj Kumar, Anand Singh Dinesh, Alok Kumar Mishra, Lokesh Kumar Pandey, Dmitry V. Sein, Vladimir A. Ryabchenko
Dynamics of Atmospheres and Oceans, 2024
Future climate change in the Northern Indian Ocean as simulated with a high-resolution regional earth system model
Dmitry V. Sein, Stanislav D. Martyanov, Anton Y. Dvornikov, William Cabos, Vladimir A. Ryabchenko, Alok K. Mishra, Natalia Limareva, Evgenia Alekseeva, Daniela Jacob, Pankaj Kumar
Climate Dynamics, 2024
Long-term annual and seasonal mass balance reconstruction and sensitivity analysis of Chhota Shigri Glacier in Western Himalaya
Rakesh Sahu, Rajan Dev Gupta, Al. Ramanathan, Pankaj Kumar, Trude Eidhammer
Environmental Science and Pollution Research International, 2024
National Colloquium for Advances in Weather and Climate Prediction and Climate Change Projection over South Asia Applications in Water and Agriculture Sectors
Pankaj Kumar, Aaquib Javed, Rupa Kumar Kolli, Disha Sachan, Anand Singh Dinesh, Midhun Murukesh, Jyoti Sharma, Ram Kumar Giri, Dushmanta R. Pattanaik, Sanjeev Kumar Jha, Balasubramanian Ramamurthy, Gurudutta Mishra
Bulletin of the American Meteorological Society, 2023
Pertaining the application of the 4DVar and 4DEnVar WRFDA techniques to simulate tropical cyclones in the Bay of Bengal
Gaurav Tiwari, Pankaj Kumar
Advances in Space Research, 2023
The decline in western disturbance activity over Northern India in recent decades
Aaquib Javed, Katyan Anshuman, Pankaj Kumar, Disha Sachan
Climatic Change, 2023
Evaluation and future projection of the extreme precipitation over India and its homogeneous regions: A regional earth system model perspective
Amita Kumari, Pankaj Kumar
International Journal of Climatology, 2023
Modeling and prediction of fire occurrences along an elevational gradient in Western Himalayas
Somnath Bar, Bikash Ranjan Parida, Arvind Chandra Pandey, B. Uma Shankar, Pankaj Kumar, Santosh K. Panda, Mukunda Dev Behera
Applied Geography, 2023
Future projections of heatwave characteristics and dynamics over India using a high-resolution regional earth system model
Aditya Kumar Dubey, Pankaj Kumar
Climate Dynamics, 2023
Strengthening breast cancer screening program through health education of women and capacity building of primary healthcare providers
Ramesh Kumar Sangwan, Ramesh Kumar Huda, Ansuman Panigrahi, G. S. Toteja, Arun Kumar Sharma, Mahendra Thakor, Pankaj Kumar
Frontiers in Public Health, 2023
Regional earth system model for CORDEX-South Asia: A comparative assessment of RESM and ESM over the tropical Indian Ocean
Pankaj Kumar, Subrat Mallick, Alok Kumar Mishra, Aditya Kumar Dubey, Gaurav Tiwari, Dimitry V. Sein, William Cabos, Daniela Jacob
International Journal of Climatology, 2022
Projection of the Indian Summer Monsoon onset using a regionally coupled atmosphere–ocean model
Ajinkya M. Khandare, Aditya Kumar Dubey, Pankaj Kumar, Alok Kumar Mishra
Theoretical and Applied Climatology, 2022
Impact of air–sea coupling on the simulation of Indian summer monsoon using a high-resolution Regional Earth System Model over CORDEX-SA
Alok Kumar Mishra, Pankaj Kumar, Aditya Kumar Dubey, Gaurav Tiwari, Dmitri V. Sein
Climate Dynamics, 2022
Predictive skill comparative assessment of WRF 4DVar and 3DVar data assimilation: An Indian Ocean tropical cyclone case study
Gaurav Tiwari, Pankaj Kumar
Atmospheric Research, 2022
Regional earth system modelling framework for CORDEX-SA: an integrated model assessment for Indian summer monsoon rainfall
Pankaj Kumar, Alok Kumar Mishra, Aditya Kumar Dubey, Aaquib Javed, Md. Saquib Saharwardi, Amita Kumari, Disha Sachan, William Cabos, Daniela Jacob, Dmitry V. Sein
Climate Dynamics, 2022
The appraisal of tropical cyclones in the North Indian Ocean: An overview of different approaches and the involvement of Earth’s components
Gaurav Tiwari, Pankaj Kumar, Pooja Tiwari
Frontiers in Earth Science, 2022
Contrasting changes in precipitation events during active and break spells of Indian summer monsoon in recent decades
Amita Kumari, Pankaj Kumar
Climate Dynamics, 2022
Contemporary climate change velocity for near-surface temperatures over India
Disha Sachan, Pankaj Kumar, Md. Saquib Saharwardi
Climatic Change, 2022
Demonstrating the asymmetry of the Indian Ocean Dipole response in regional earth system model of CORDEX-SA
Alok Kumar Mishra, Pankaj Kumar, Aditya Kumar Dubey, Sanjeev Kumar Jha, Dmitry V. Sein, William Cabos
Atmospheric Research, 2022
Challenges in Understanding the Variability of the Cryosphere in the Himalaya and Its Impact on Regional Water Resources
Bramha Dutt Vishwakarma, RAAJ Ramsankaran, Mohd. Farooq Azam, Tobias Bolch, Arindan Mandal, Smriti Srivastava, Pankaj Kumar, Rakesh Sahu, Perumal Jayaraman Navinkumar, Srinivasa Rao Tanniru, Aaquib Javed, Mohd Soheb, A. P. Dimri, Mohit Yadav, Balaji Devaraju, Pennan Chinnasamy, Manne Janga Reddy, Geetha Priya Murugesan, Manohar Arora, Sharad K. Jain, C. S. P. Ojha, Stephan Harrison, Jonathan Bamber
Frontiers in Water, 2022
Understanding spatiotemporal variability of drought in recent decades and its drivers over identified homogeneous regions of India
Md Saquib Saharwardi, Pankaj Kumar, Aditya Kumar Dubey, Amita Kumari
Quarterly Journal of the Royal Meteorological Society, 2022
Does the Recent Revival of Western Disturbances Govern the Karakoram Anomaly?
Aaquib Javed, Pankaj Kumar, Kevin I. Hodges, Dmitry V. Sein, Aditya K. Dubey, Gaurav Tiwari
Journal of Climate, 2022
Assessing tropical cyclones characteristics over the Arabian Sea and Bay of Bengal in the recent decades
Gaurav Tiwari, Pankaj Kumar, Aaquib Javed, Alok Kumar Mishra, Ashish Routray
Meteorology and Atmospheric Physics, 2022
Indian Ocean marine biogeochemical variability and its feedback on simulated South Asia climate
Dmitry V. Sein, Anton Y. Dvornikov, Stanislav D. Martyanov, William Cabos, Vladimir A. Ryabchenko, Matthias Gröger, Daniela Jacob, Alok Kumar Mishra, Pankaj Kumar
Earth System Dynamics, 2022
Dynamical and thermodynamical aspects of precipitation events over India
Amita Kumari, Pankaj Kumar, Aditya Kumar Dubey, Alok Kumar Mishra, Md. Saquib Saharwardi
International Journal of Climatology, 2022
Future drought changes and associated uncertainty over the homogenous regions of India: A multimodel approach
Md Saquib Saharwardi, Pankaj Kumar
International Journal of Climatology, 2022
Evaluation and projection of drought over India using high-resolution regional coupled model ROM
Md Saquib Saharwardi, Pankaj Kumar, Disha Sachan
Climate Dynamics, 2022
Understanding the post-monsoon tropical cyclone variability and trend over the Bay of Bengal during the satellite era
Gaurav Tiwari, Arathi Rameshan, Pankaj Kumar, Aaquib Javed, Alok K. Mishra
Quarterly Journal of the Royal Meteorological Society, 2022
Measuring the control of landscape modifications on surface temperature in India
Preet Lal, Aditya Kumar Dubey, Amit Kumar, Pankaj Kumar, C. S. Dwivedi
Geocarto International, 2022
Predictive relationships between winter climate and hot season temperatures over India
Aditya Kumar Dubey, Pankaj Kumar
International Journal of Climatology, 2021
Present and future projections of heatwave hazard-risk over India: A regional earth system model assessment
Aditya Kumar Dubey, Preet Lal, Pankaj Kumar, Amit Kumar, Anton Y. Dvornikov
Environmental Research, 2021
Understanding drought dynamics and variability over Bundelkhand region
Md Saquib Saharwardi, Alam Shweta Mahadeo, Pankaj Kumar
Journal of Earth System Science, 2021
Impact of horizontal resolution on monsoon precipitation for CORDEX-South Asia: A regional earth system model assessment
Alok Kumar Mishra, Pankaj Kumar, Aditya Kumar Dubey, Aaquib Javed, Md Saquib Saharwardi, Dmitry V. Sein, Stanislav D. Martyanov, Daniela Jacob
Atmospheric Research, 2021
Understanding the hot season dynamics and variability across India
Aditya Kumar Dubey, Pankaj Kumar, Md Saquib Saharwardi, Aaquib Javed
Weather and Climate Extremes, 2021
INFLUENCE OF THE WATER TEMPERATURE-PHYTOPLANKTON FEEDBACK ON THE UPPER LAYER TEMPERATURE OF THE INDIAN OCEAN
Д.В. Сеин, А.Ю. Дворников, С.Д. Мартьянов, У. Кабос, В.А. Рябченко, М. Грёгер, А.К. Мишра, П. Кумар, В.А. Горчаков
Fundamental and Applied Hydrophysics, 2021
Projected future changes in rainfall in Southeast Asia based on CORDEX–SEA multi-model simulations
Fredolin Tangang, Jing Xiang Chung, Liew Juneng, Supari, Ester Salimun, Sheau Tieh Ngai, Ahmad Fairudz Jamaluddin, Mohd Syazwan Faisal Mohd, Faye Cruz, Gemma Narisma, Jerasorn Santisirisomboon, Thanh Ngo-Duc, Phan Van Tan, Patama Singhruck, Dodo Gunawan, Edvin Aldrian, Ardhasena Sopaheluwakan, Nikulin Grigory, Armelle Reca C. Remedio, Dmitry V. Sein, David Hein-Griggs, John L. McGregor, Hongwei Yang, Hidetaka Sasaki, Pankaj Kumar
Climate Dynamics, 2020
Impact of air-sea interaction during two contrasting monsoon seasons
Sahil Sharma, Amita Kumari, M. P. Navajyoth, Pankaj Kumar, Md. Saquib Saharwardi
Theoretical and Applied Climatology, 2020
Can nature-based solutions contribute to water security in Bhopal?
Mark Everard, Shakeel Ahmed, Alexandre S. Gagnon, Pankaj Kumar, T. Thomas, Sumit Sinha, Harry Dixon, Sunita Sarkar
Science of the Total Environment, 2020
SAR-Optical Remote Sensing Based Forest Cover and Greenness Esti-Mation over India
P. Lal, A. K. Dubey, A. Kumar, P. Kumar, C. S. Dwivedi
ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences, 2019
Snowfall Variability Dictates Glacier Mass Balance Variability in Himalaya-Karakoram
Pankaj Kumar, Md. Saquib Saharwardi, Argha Banerjee, Mohd. Farooq Azam, Aditya Kumar Dubey, Raghu Murtugudde
Scientific Reports, 2019
Modelling 60 years of glacier mass balance and runoff for Chhota Shigri Glacier, Western Himalaya, Northern India
MARKUS ENGELHARDT, AL. RAMANATHAN, TRUDE EIDHAMMER, PANKAJ KUMAR, OSKAR LANDGREN, ARINDAN MANDAL, ROY RASMUSSEN
Journal of Glaciology, 2017
Meltwater runoff in a changing climate (1951-2099) at Chhota Shigri Glacier, Western Himalaya, Northern India
Markus Engelhardt, Paul Leclercq, Trude Eidhammer, Pankaj Kumar, Oskar Landgren, Roy Rasmussen
Annals of Glaciology, 2017
Identifying climate change information needs for the himalayan region: Results from the GLACINDIA Stakeholder Workshop and Training Program
N. V. Koldunov, P. Kumar, R. Rasmussen, AL. Ramanathan, A. Nesje, M. Engelhardt, M. Tewari, A. Haensler, D. Jacob
Bulletin of the American Meteorological Society, 2016
Response of Karakoram-Himalayan glaciers to climate variability and climatic change: A regional climate model assessment
Pankaj Kumar, Sven Kotlarski, Christopher Moseley, Kevin Sieck, Holger Frey, Markus Stoffel, Daniela Jacob
Geophysical Research Letters, 2015
Assessing future changes in seasonal climatic extremes in the Ganges river basin using an ensemble of regional climate models
Neha Mittal, Ashok Mishra, Rajendra Singh, Pankaj Kumar
Climatic Change, 2014
Impact of modified soil thermal characteristic on the simulated monsoon climate over south Asia
Pankaj Kumar, Ralf Podzun**, Stefan Hagemann, Daniela Jacob
Journal of Earth System Science, 2014
Application of regional climate models to the Indian winter monsoon over the western Himalayas
A.P. Dimri, T. Yasunari, A. Wiltshire, P. Kumar, C. Mathison, J. Ridley, D. Jacob
Science of the Total Environment, 2013
Future water resources for food production in five South Asian river basins and potential for adaptation - A modeling study
H. Biemans, L.H. Speelman, F. Ludwig, E.J. Moors, A.J. Wiltshire, P. Kumar, D. Gerten, P. Kabat
Science of the Total Environment, 2013
Snowmelt contributions to discharge of the Ganges
C. Siderius, H. Biemans, A. Wiltshire, S. Rao, W.H.P. Franssen, P. Kumar, A.K. Gosain, M.T.H. van Vliet, D.N. Collins
Science of the Total Environment, 2013
Downscaled climate change projections with uncertainty assessment over India using a high resolution multi-model approach
Pankaj Kumar, Andrew Wiltshire, Camilla Mathison, Shakeel Asharaf, Bodo Ahrens, Philippe Lucas-Picher, Jens H. Christensen, Andreas Gobiet, Fahad Saeed, Stefan Hagemann, Daniela Jacob
Science of the Total Environment, 2013
Regional projections of North Indian climate for adaptation studies
Camilla Mathison, Andrew Wiltshire, A.P. Dimri, Pete Falloon, Daniela Jacob, Pankaj Kumar, Eddy Moors, Jeff Ridley, Christian Siderius, Markus Stoffel, T. Yasunari
Science of the Total Environment, 2013
How does a regional climate model modify the projected climate change signal of the driving GCM: A study over different CORDEX regions using REMO
Claas Teichmann, Bastian Eggert, Alberto Elizalde, Andreas Haensler, Daniela Jacob, Pankaj Kumar, Christopher Moseley, Susanne Pfeifer, Diana Rechid, Armelle Remedio, Hinnerk Ries, Juliane Petersen, Swantje Preuschmann, Thomas Raub, Fahad Saeed, Kevin Sieck, Torsten Weber
Atmosphere, 2013
Assessing the transferability of the regional climate model REMO to different coordinated regional climate downscaling experiment (CORDEX) regions
Daniela Jacob, Alberto Elizalde, Andreas Haensler, Stefan Hagemann, Pankaj Kumar, Ralf Podzun, Diana Rechid, Armelle Reca Remedio, Fahad Saeed, Kevin Sieck, Claas Teichmann, Christof Wilhelm
Atmosphere, 2012
Can regional climate models represent the Indian monsoon?
Philippe Lucas-Picher, Jens H. Christensen, Fahad Saeed, Pankaj Kumar, Shakeel Asharaf, Bodo Ahrens, Andrew J. Wiltshire, Daniela Jacob, Stefan Hagemann
Journal of Hydrometeorology, 2011
Adaptation to changing water resources in the Ganges basin, northern India
Eddy J. Moors, Annemarie Groot, Hester Biemans, Catharien Terwisscha van Scheltinga, Christian Siderius, Markus Stoffel, Christian Huggel, Andy Wiltshire, Camilla Mathison, Jeff Ridley, Daniela Jacob, Pankaj Kumar, Suruchi Bhadwal, Ashvin Gosain, David N. Collins
Environmental Science and Policy, 2011
On the recent strengthening of the relationship between ENSO and northeast monsoon rainfall over South Asia
Pankaj Kumar, K. Rupa Kumar, M. Rajeevan, A. K. Sahai
Climate Dynamics, 2007
Northeast monsoon rainfall variability over south peninsular India vis-à-vis the Indian Ocean dipole mode
R. H. Kripalani, Pankaj Kumar
International Journal of Climatology, 2004

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