- Calibration of the NASA Catchment-CN model parameters to improve modeled vegetation phenology and physiology
- Joint assimilation of SMAP soil moisture and MODIS vegetation information into the NASA Catchment-CN land surface model for the generation of improved hydrological fields and surface flux estimates
- Development of Neural Network soil moisture retrieval algorithm for the Soil Moisture Active Passive (SMAP) mission
- Investigation of new bias correction techniques for the assimilation of SMAP soil moisture observations into the NASA Catchment model
- Development of a Neural Network based microwave only soil moisture retrieval product from AMSR-E and ASCAT observations
Doctor of Philosophy (PhD)
Environmental Science and Remote Sensing
Université Pierre et Marie Curie (Paris 6), Paris, France
Thesis: Soil moisture retrieval from multi-instrument satellite observations
Supervisors: Dr. Filipe Aires, Dr. Catherine Prigent
Master of Science (MSc)
Space Science and Technology
Luleå University of Technology, Kiruna Sweden
September 2008 - June 2010
Thesis: Investigation of cloud ice water content retrieval from active satellite observations
Bachelor of Science (BSc)
Aerospace Engineering
Technical University Delft, Delft, The Netherlands
September 2005 - June 2008
Thesis: Design of an advanced space-based interferometer at 22 GHz
Reichle, R. H., S. Q. Zhang, J. Kolassa, Q. Liu, and R. Todling. 2023. "A Weakly-Coupled Land Surface Analysis With SMAP Radiance Assimilation Improves GEOS Medium-Range Forecasts of Near-Surface Air Temperature and Humidity." Quarterly Journal of the Royal Meteorological Society, (In Press) [10.1002/qj.4486]
Kumar, S., J. Kolassa, R. Reichle, et al. W. Crow, G. de Lannoy, P. de Rosnay, N. MacBean, M. Girotto, A. Fox, T. Quaife, C. Draper, B. Forman, G. Balsamo, S. Steele‐Dunne, C. Albergel, B. Bonan, J. Calvet, J. Dong, H. Liddy, and B. Ruston. 2022. "An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space." Journal of Advances in Modeling Earth Systems, 14 (11): e2022MS003259 [10.1029/2022ms003259]
Lee, E., R. D. Koster, L. E. Ott, et al. J. Joiner, F. Zeng, J. Kolassa, R. H. Reichle, K. R. Arsenault, A. Hazra, and S. Shukla. 2022. "Skillful Seasonal Forecasts of Land Carbon Uptake in Northern Mid‐ and High Latitudes." Geophysical Research Letters, 49 (6): e2021GL097117 [10.1029/2021GL097117]
MacBean, N., H. Liddy, T. Quaife, J. Kolassa, and A. Fox. 2022. "Building a Land Data Assimilation Community to Tackle Technical Challenges in Quantifying and Reducing Uncertainty in Land Model Predictions." Bulletin of the American Meteorological Society, 103 (3): E733-E740 [10.1175/bams-d-21-0228.1]
Weir, B., D. Crisp, C. W. O’Dell, et al. S. Basu, A. Chatterjee, J. Kolassa, T. Oda, S. Pawson, B. Poulter, Z. Zhang, P. Ciais, S. J. Davis, Z. Liu, and L. E. Ott. 2021. "Regional impacts of COVID-19 on carbon dioxide detected worldwide from space." Science Advances, 7 (45): eabf9415 [10.1126/sciadv.abf9415]
Reichle, R., S. Zhang, Q. Liu, et al. C. Draper, J. Kolassa, and R. Todling. 2021. "Assimilation of SMAP Brightness Temperature Observations in the GEOS Land-Atmosphere Data Assimilation System." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 10628-10643 [10.1109/jstars.2021.3118595]
Kolassa, J., R. H. Reichle, R. D. Koster, et al. Q. Liu, S. Mahanama, and F. Zeng. 2020. "An observation‐driven approach to improve vegetation phenology in a global land surface model." Journal of Advances in Modeling Earth Systems, 12: e2020MS002083 [10.1029/2020ms002083]
Reichle, R. H., Q. Liu, R. D. Koster, et al. W. T. Crow, G. J. De Lannoy, J. S. Kimball, J. V. Ardizzone, D. Bosch, A. Colliander, M. Cosh, J. Kolassa, S. P. Mahanama, J. Prueger, P. Starks, and J. P. Walker. 2019. "Version 4 of the SMAP Level‐4 Soil Moisture Algorithm and Data Product." Journal of Advances in Modeling Earth Systems, 11 (10): 3106-3130 [10.1029/2019ms001729]
Alemohammad, S. H., J. Kolassa, C. Prigent, F. Aires, and P. Gentine. 2018. "Global Downscaling of Remotely-Sensed Soil Moisture using Neural Networks." Hydrology and Earth System Sciences Discussions, 1-19 [10.5194/hess-2017-680]
Kolassa, J., R. Reichle, Q. Liu, et al. S. Alemohammad, P. Gentine, K. Aida, J. Asanuma, S. Bircher, T. Caldwell, A. Colliander, M. Cosh, C. Holifield Collins, T. Jackson, J. Martínez-Fernández, H. McNairn, A. Pacheco, M. Thibeault, and J. Walker. 2018. "Estimating surface soil moisture from SMAP observations using a Neural Network technique." Remote Sensing of Environment, 204: 43-59 [10.1016/j.rse.2017.10.045]
Reichle, R. H., G. J. De Lannoy, Q. Liu, et al. R. D. Koster, J. Kimball, W. Crow, J. V. Ardizzone, P. Chakraborty, D. W. Collins, A. L. Conaty, M. Girotto, L. Jones, J. Kolassa, H. P. Lievens, R. A. Lucchesi, and E. B. Smith. 2017. "Global Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using Assimilation Diagnostics." Journal of Hydrometeorology, 18: 3217-3237 [10.1175/JHM-D-17-0130.1]
Kolassa, J., R. Reichle, Q. Liu, et al. M. Cosh, D. Bosch, T. Caldwell, A. Colliander, C. Holifield Collins, T. Jackson, S. Livingston, M. Moghaddam, and P. Starks. 2017. "Data Assimilation to Extract Soil Moisture Information from SMAP Observations." Remote Sensing, 9 (11): 1179 [10.3390/rs9111179]
Alemohammad, S. H., B. Fang, A. G. Konings, et al. F. Aires, J. K. Green, J. Kolassa, D. Miralles, C. Prigent, and P. Gentine. 2017. "Water, Energy, and Carbon with Artificial Neural Networks (WECANN): a statistically based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence." Biogeosciences, 14 (18): 4101-4124 [10.5194/bg-14-4101-2017]
Kolassa, J., P. Gentine, C. Prigent, F. Aires, and S. Alemohammad. 2017. "Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation." Remote Sensing of Environment, 195: 202-217 [10.1016/j.rse.2017.04.020]
Green, J. K., A. G. Konings, S. H. Alemohammad, et al. J. Berry, D. Entekhabi, J. Kolassa, J.-E. Lee, and P. Gentine. 2017. "Regionally strong feedbacks between the atmosphere and terrestrial biosphere." Nature Geoscience, [10.1038/ngeo2957]
Kolassa, J., R. Reichle, and C. Draper. 2017. "Merging active and passive microwave observations in soil moisture data assimilation." Remote Sensing of Environment, 191: 117-130 [10.1016/j.rse.2017.01.015]
Kolassa, J., P. Gentine, C. Prigent, and F. Aires. 2016. "Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 1: Satellite data analysis." Remote Sensing of Environment, 173: 1-14 [10.1016/j.rse.2015.11.011]
Rodriguez-Fernandez, N. J., F. Aires, P. Richaume, et al. Y. H. Kerr, C. Prigent, J. Kolassa, F. Cabot, C. Jimenez, A. Mahmoodi, and M. Drusch. 2015. "Soil Moisture Retrieval Using Neural Networks: Application to SMOS." IEEE Transactions on Geoscience and Remote Sensing, 53 (11): 5991-6007 [10.1109/tgrs.2015.2430845]
Foley, A. M., D. Dalmonech, A. D. Friend, et al. F. Aires, A. T. Archibald, P. Bartlein, L. Bopp, J. Chappellaz, P. Cox, N. R. Edwards, G. Feulner, P. Friedlingstein, S. P. Harrison, P. O. Hopcroft, C. D. Jones, J. Kolassa, J. G. Levine, I. C. Prentice, J. Pyle, N. Vázquez Riveiros, E. W. Wolff, and S. Zaehle. 2013. "Evaluation of biospheric components in Earth system models using modern and palaeo-observations: the state-of-the-art." Biogeosciences, 10 (12): 8305-8328 [10.5194/bg-10-8305-2013]
Jiménez, C., D. B. Clark, J. Kolassa, F. Aires, and C. Prigent. 2013. "A joint analysis of modeled soil moisture fields and satellite observations." Journal of Geophysical Research: Atmospheres, 118 (12): 6771-6782 [10.1002/jgrd.50430]
Kolassa, J., F. Aires, J. Polcher, et al. C. Prigent, C. Jimenez, and J. M. Pereira. 2013. "Soil moisture retrieval from multi-instrument observations: Information content analysis and retrieval methodology." Journal of Geophysical Research: Atmospheres, 118 (10): 4847-4859 [10.1029/2012jd018150]
Reichle, R. H., S. Q. Zhang, J. Kolassa, Q. Liu, and R. Todling. 2023. "A Weakly-Coupled Land Surface Analysis With SMAP Radiance Assimilation Improves GEOS Medium-Range Forecasts of Near-Surface Air Temperature and Humidity." Quarterly Journal of the Royal Meteorological Society (In Press) [10.1002/qj.4486]
Kumar, S., J. Kolassa, R. Reichle, et al. W. Crow, G. de Lannoy, P. de Rosnay, N. MacBean, M. Girotto, A. Fox, T. Quaife, C. Draper, B. Forman, G. Balsamo, S. Steele‐Dunne, C. Albergel, B. Bonan, J. Calvet, J. Dong, H. Liddy, and B. Ruston. 2022. "An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space." Journal of Advances in Modeling Earth Systems 14 (11): e2022MS003259 [10.1029/2022ms003259]
Lee, E., R. D. Koster, L. E. Ott, et al. J. Joiner, F. Zeng, J. Kolassa, R. H. Reichle, K. R. Arsenault, A. Hazra, and S. Shukla. 2022. "Skillful Seasonal Forecasts of Land Carbon Uptake in Northern Mid‐ and High Latitudes." Geophysical Research Letters 49 (6): e2021GL097117 [10.1029/2021GL097117]
MacBean, N., H. Liddy, T. Quaife, J. Kolassa, and A. Fox. 2022. "Building a Land Data Assimilation Community to Tackle Technical Challenges in Quantifying and Reducing Uncertainty in Land Model Predictions." Bulletin of the American Meteorological Society 103 (3): E733-E740 [10.1175/bams-d-21-0228.1]
Weir, B., D. Crisp, C. W. O’Dell, et al. S. Basu, A. Chatterjee, J. Kolassa, T. Oda, S. Pawson, B. Poulter, Z. Zhang, P. Ciais, S. J. Davis, Z. Liu, and L. E. Ott. 2021. "Regional impacts of COVID-19 on carbon dioxide detected worldwide from space." Science Advances 7 (45): eabf9415 [10.1126/sciadv.abf9415]
Reichle, R., S. Zhang, Q. Liu, et al. C. Draper, J. Kolassa, and R. Todling. 2021. "Assimilation of SMAP Brightness Temperature Observations in the GEOS Land-Atmosphere Data Assimilation System." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 10628-10643 [10.1109/jstars.2021.3118595]
Kolassa, J., R. H. Reichle, R. D. Koster, et al. Q. Liu, S. Mahanama, and F. Zeng. 2020. "An observation‐driven approach to improve vegetation phenology in a global land surface model." Journal of Advances in Modeling Earth Systems 12 e2020MS002083 [10.1029/2020ms002083]
Reichle, R. H., Q. Liu, R. D. Koster, et al. W. T. Crow, G. J. De Lannoy, J. S. Kimball, J. V. Ardizzone, D. Bosch, A. Colliander, M. Cosh, J. Kolassa, S. P. Mahanama, J. Prueger, P. Starks, and J. P. Walker. 2019. "Version 4 of the SMAP Level‐4 Soil Moisture Algorithm and Data Product." Journal of Advances in Modeling Earth Systems 11 (10): 3106-3130 [10.1029/2019ms001729]
Alemohammad, S. H., J. Kolassa, C. Prigent, F. Aires, and P. Gentine. 2018. "Global Downscaling of Remotely-Sensed Soil Moisture using Neural Networks." Hydrology and Earth System Sciences Discussions 1-19 [10.5194/hess-2017-680]
Kolassa, J., R. Reichle, Q. Liu, et al. S. Alemohammad, P. Gentine, K. Aida, J. Asanuma, S. Bircher, T. Caldwell, A. Colliander, M. Cosh, C. Holifield Collins, T. Jackson, J. Martínez-Fernández, H. McNairn, A. Pacheco, M. Thibeault, and J. Walker. 2018. "Estimating surface soil moisture from SMAP observations using a Neural Network technique." Remote Sensing of Environment 204 43-59 [10.1016/j.rse.2017.10.045]
Reichle, R. H., G. J. De Lannoy, Q. Liu, et al. R. D. Koster, J. Kimball, W. Crow, J. V. Ardizzone, P. Chakraborty, D. W. Collins, A. L. Conaty, M. Girotto, L. Jones, J. Kolassa, H. P. Lievens, R. A. Lucchesi, and E. B. Smith. 2017. "Global Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using Assimilation Diagnostics." Journal of Hydrometeorology 18 3217-3237 [10.1175/JHM-D-17-0130.1]
Kolassa, J., R. Reichle, Q. Liu, et al. M. Cosh, D. Bosch, T. Caldwell, A. Colliander, C. Holifield Collins, T. Jackson, S. Livingston, M. Moghaddam, and P. Starks. 2017. "Data Assimilation to Extract Soil Moisture Information from SMAP Observations." Remote Sensing 9 (11): 1179 [10.3390/rs9111179]
Alemohammad, S. H., B. Fang, A. G. Konings, et al. F. Aires, J. K. Green, J. Kolassa, D. Miralles, C. Prigent, and P. Gentine. 2017. "Water, Energy, and Carbon with Artificial Neural Networks (WECANN): a statistically based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence." Biogeosciences 14 (18): 4101-4124 [10.5194/bg-14-4101-2017]
Kolassa, J., P. Gentine, C. Prigent, F. Aires, and S. Alemohammad. 2017. "Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation." Remote Sensing of Environment 195 202-217 [10.1016/j.rse.2017.04.020]
Green, J. K., A. G. Konings, S. H. Alemohammad, et al. J. Berry, D. Entekhabi, J. Kolassa, J.-E. Lee, and P. Gentine. 2017. "Regionally strong feedbacks between the atmosphere and terrestrial biosphere." Nature Geoscience [10.1038/ngeo2957]
Kolassa, J., R. Reichle, and C. Draper. 2017. "Merging active and passive microwave observations in soil moisture data assimilation." Remote Sensing of Environment 191 117-130 [10.1016/j.rse.2017.01.015]
Kolassa, J., P. Gentine, C. Prigent, and F. Aires. 2016. "Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 1: Satellite data analysis." Remote Sensing of Environment 173 1-14 [10.1016/j.rse.2015.11.011]
Rodriguez-Fernandez, N. J., F. Aires, P. Richaume, et al. Y. H. Kerr, C. Prigent, J. Kolassa, F. Cabot, C. Jimenez, A. Mahmoodi, and M. Drusch. 2015. "Soil Moisture Retrieval Using Neural Networks: Application to SMOS." IEEE Transactions on Geoscience and Remote Sensing 53 (11): 5991-6007 [10.1109/tgrs.2015.2430845]
Foley, A. M., D. Dalmonech, A. D. Friend, et al. F. Aires, A. T. Archibald, P. Bartlein, L. Bopp, J. Chappellaz, P. Cox, N. R. Edwards, G. Feulner, P. Friedlingstein, S. P. Harrison, P. O. Hopcroft, C. D. Jones, J. Kolassa, J. G. Levine, I. C. Prentice, J. Pyle, N. Vázquez Riveiros, E. W. Wolff, and S. Zaehle. 2013. "Evaluation of biospheric components in Earth system models using modern and palaeo-observations: the state-of-the-art." Biogeosciences 10 (12): 8305-8328 [10.5194/bg-10-8305-2013]
Jiménez, C., D. B. Clark, J. Kolassa, F. Aires, and C. Prigent. 2013. "A joint analysis of modeled soil moisture fields and satellite observations." Journal of Geophysical Research: Atmospheres 118 (12): 6771-6782 [10.1002/jgrd.50430]
Kolassa, J., F. Aires, J. Polcher, et al. C. Prigent, C. Jimenez, and J. M. Pereira. 2013. "Soil moisture retrieval from multi-instrument observations: Information content analysis and retrieval methodology." Journal of Geophysical Research: Atmospheres 118 (10): 4847-4859 [10.1029/2012jd018150]