Regionally strong feedbacks between the atmosphere and terrestrial biosphere JK Green, AG Konings, SH Alemohammad, J Berry, D Entekhabi, ... Nature geoscience 10 (6), 410-414, 2017 | 235 | 2017 |
Soil moisture retrieval using neural networks: Application to SMOS NJ Rodriguez-Fernandez, F Aires, P Richaume, YH Kerr, C Prigent, ... IEEE Transactions on Geoscience and Remote Sensing 53 (11), 5991-6007, 2015 | 161 | 2015 |
Version 4 of the SMAP level‐4 soil moisture algorithm and data product RH Reichle, Q Liu, RD Koster, WT Crow, GJM De Lannoy, JS Kimball, ... Journal of Advances in Modeling Earth Systems 11 (10), 3106-3130, 2019 | 139 | 2019 |
Water, Energy, and Carbon with Artificial Neural Networks (WECANN): a statistically based estimate of global surface turbulent fluxes and gross primary productivity using solar … SH Alemohammad, B Fang, AG Konings, F Aires, JK Green, J Kolassa, ... Biogeosciences 14 (18), 4101-4124, 2017 | 123 | 2017 |
Global assessment of the SMAP Level-4 surface and root-zone soil moisture product using assimilation diagnostics RH Reichle, GJM De Lannoy, Q Liu, RD Koster, JS Kimball, WT Crow, ... Journal of hydrometeorology 18 (12), 3217-3237, 2017 | 120 | 2017 |
Estimating surface soil moisture from SMAP observations using a Neural Network technique J Kolassa, RH Reichle, Q Liu, SH Alemohammad, P Gentine, K Aida, ... Remote sensing of environment 204, 43-59, 2018 | 118 | 2018 |
Global downscaling of remotely sensed soil moisture using neural networks SH Alemohammad, J Kolassa, C Prigent, F Aires, P Gentine Hydrology and Earth System Sciences 22 (10), 5341-5356, 2018 | 64 | 2018 |
Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 1: Satellite data analysis J Kolassa, P Gentine, C Prigent, F Aires Remote Sensing of Environment 173, 1-14, 2016 | 59 | 2016 |
Merging active and passive microwave observations in soil moisture data assimilation J Kolassa, RH Reichle, CS Draper Remote sensing of environment 191, 117-130, 2017 | 58 | 2017 |
Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation J Kolassa, P Gentine, C Prigent, F Aires, SH Alemohammad Remote Sensing of Environment 195, 202-217, 2017 | 53 | 2017 |
Regional impacts of COVID-19 on carbon dioxide detected worldwide from space B Weir, D Crisp, CW O’Dell, S Basu, A Chatterjee, J Kolassa, T Oda, ... Science advances 7 (45), eabf9415, 2021 | 43 | 2021 |
Soil moisture retrieval from multi‐instrument observations: Information content analysis and retrieval methodology J Kolassa, F Aires, J Polcher, C Prigent, C Jimenez, JM Pereira Journal of Geophysical Research: Atmospheres 118 (10), 4847-4859, 2013 | 41 | 2013 |
Data assimilation to extract soil moisture information from SMAP observations J Kolassa, RH Reichle, Q Liu, M Cosh, DD Bosch, TG Caldwell, ... Remote sensing 9 (11), 1179, 2017 | 34 | 2017 |
Soil moisture retrieval from SMOS observations using neural networks N Rodriguez-Fernandez, P Richaume, F Aires, C Prigent, Y Kerr, ... 2014 IEEE Geoscience and Remote Sensing Symposium, 2431-2434, 2014 | 23 | 2014 |
A joint analysis of modeled soil moisture fields and satellite observations C Jiménez, DB Clark, J Kolassa, F Aires, C Prigent Journal of Geophysical Research: Atmospheres 118 (12), 6771-6782, 2013 | 21 | 2013 |
An agenda for land data assimilation priorities: Realizing the promise of terrestrial water, energy, and vegetation observations from space S Kumar, J Kolassa, R Reichle, W Crow, G de Lannoy, P de Rosnay, ... Journal of Advances in Modeling Earth Systems 14 (11), e2022MS003259, 2022 | 14 | 2022 |
Assimilation of SMAP brightness temperature observations in the GEOS land–atmosphere data assimilation system RH Reichle, SQ Zhang, Q Liu, CS Draper, J Kolassa, R Todling IEEE journal of selected topics in applied earth observations and remote …, 2021 | 13 | 2021 |
Evaluation of biospheric components in Earth system models using modern and palaeo-observations: the state-of-the-art AM Foley, D Dalmonech, AD Friend, F Aires, AT Archibald, P Bartlein, ... Biogeosciences 10 (12), 8305-8328, 2013 | 12 | 2013 |
An observation‐driven approach to improve vegetation phenology in a global land surface model J Kolassa, RH Reichle, RD Koster, Q Liu, S Mahanama, FW Zeng Journal of Advances in Modeling Earth Systems 12 (9), e2020MS002083, 2020 | 10 | 2020 |
Building a land data assimilation community to tackle technical challenges in quantifying and reducing uncertainty in land model predictions N MacBean, H Liddy, T Quaife, J Kolassa, A Fox Bulletin of the American Meteorological Society 103 (3), E733-E740, 2022 | 3 | 2022 |