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Jana Kolassa
Jana Kolassa
NASA Goddard Spaceflight Center, Global Modeling and Assimilation Office
在 nasa.gov 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
2352017
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
1612015
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
1392019
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
1232017
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
1202017
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
1182018
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
642018
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
592016
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
582017
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
532017
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
432021
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
412013
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
342017
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
232014
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
212013
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
142022
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
132021
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
122013
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
102020
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
32022
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