Turbulence and fire-spotting effects into wild-land fire simulators I Kaur, A Mentrelli, F Bosseur, JB Filippi, G Pagnini Communications in Nonlinear Science and Numerical Simulation 39, 300-320, 2016 | 43 | 2016 |
Height assignment improvement in Kalpana-1 atmospheric motion vectors SK Deb, S Wanzong, CS Velden, I Kaur, CM Kishtawal, PK Pal, ... Journal of the Indian Society of Remote Sensing 42, 679-687, 2014 | 22 | 2014 |
RandomFront 2.3: a physical parameterisation of fire spotting for operational fire spread models – implementation in WRF-SFIRE and response analysis with LSFire+ A Trucchia, V Egorova, A Butenko, I Kaur, G Pagnini Geoscientific Model Development 12 (1), 69-87, 2019 | 20 | 2019 |
Assessment of a new quality control technique in the retrieval of atmospheric motion vectors SK Deb, CM Kishtawal, I Kaur, PK Pal, AS Kiran Kumar Meteorological Applications 22 (2), 178-186, 2015 | 18 | 2015 |
Low level cloud motion vectors from Kalpana-1 visible images I Kaur, SK Deb, CM Kishtawal, PK Pal, R Kumar Journal of Earth System Science 122, 935-946, 2013 | 17 | 2013 |
Fire-spotting modelling and parametrisation for wild-land fires I Kaur, G Pagnini | 15 | 2016 |
Impact of Kalpana-1 retrieved atmospheric motion vectors on mesoscale model forecast during summer monsoon 2011 I Kaur, P Kumar, SK Deb, CM Kishtawal, PK Pal, R Kumar Theoretical and applied climatology 120, 587-599, 2015 | 11 | 2015 |
Multiplet based technique to derive atmospheric winds from Kalpana-1 SK Deb, CM Kishtawal, I Kaur, PK Pal, AS Kirankumar Proceedings of the 11th international winds workshop, Auckland, 20-24, 2012 | 9 | 2012 |
Comparison of Kalpana-1 atmospheric motion vectors with other observations SK Deb, I Kaur, CM Kishtawal, PK Pal Theoretical and applied climatology 115, 693-702, 2014 | 6 | 2014 |
Comparison of Kalpana-1 atmospheric motion vectors with other observations SK Deb, I Kaur, CM Kishtawal, PK Pal Theoretical and applied climatology 115, 693-702, 2014 | 6 | 2014 |
Fast radiative transfer approximating ice hydrometeor orientation and its implication on IWP retrievals I Kaur, P Eriksson, V Barlakas, S Pfreundschuh, S Fox Remote sensing 14 (7), 1594, 2022 | 5 | 2022 |
Wildland fire propagation modelling: A novel approach reconciling models based on moving interface methods and on reaction-diffusion equations I Kaur, A Mentrelli, F Bosseur, JB Filippi, G Pagnini Application of Mathematics 2015, 85-99, 2015 | 4 | 2015 |
Atmospheric motion vector retrieval using improved tracer selection algorithm I Kaur, SK Deb, CM Kishtawal, PK Pal, R Kumar Theoretical and Applied Climatology 119, 299-312, 2015 | 4 | 2015 |
Correcting Swath-Dependent Bias of MODIS FRP Observations With Quantile Mapping I Kaur, I Hüser, T Zhang, B Gehrke, JW Kaiser Remote Sensing 11 (10), 1205, 2019 | 3 | 2019 |
Temporal Scales of Satellite-Derived Atmospheric Winds Over the Asian Monsoon Region I Kaur, CM Kishtawal, SK Deb, R Kumar IEEE Geoscience and Remote Sensing Letters 9 (2), 317-320, 2011 | 3 | 2011 |
Can machine learning correct microwave humidity radiances for the influence of clouds? I Kaur, P Eriksson, S Pfreundschuh, DI Duncan Atmospheric Measurement Techniques 14 (4), 2957-2979, 2021 | 2 | 2021 |
Impact of Kalpana-1 retrieved multispectral AMVs on Mahasen tropical cyclone forecast I Kaur, P Kumar, SK Deb, CM Kishtawal, PK Pal, R Kumar Natural Hazards 77, 205-222, 2015 | 2 | 2015 |
A comparative assessment of Kalpana-1 and MISR cloud tracked winds over the Indian Ocean region SK Deb, I Kaur, CM Kishtawal, PK Pal Theoretical and Applied Climatology 121, 425-443, 2015 | 1 | 2015 |
Quality assessment of atmospheric motion vectors over the Indian Ocean I Kaur, SK Deb, CM Kishtawal, PK Pal Pure and Applied Geophysics 171, 2485-2499, 2014 | 1 | 2014 |
Can machine learning correct microwave humidity radiances for the influence of clouds? I Kaur, P Eriksson, S Pfreundschuh, DI Duncan Atmospheric Measurement Techniques Discussions 2020, 1-33, 2020 | | 2020 |