J
Jana Kolassa
Researcher at Universities Space Research Association
Publications - 29
Citations - 1084
Jana Kolassa is an academic researcher from Universities Space Research Association. The author has contributed to research in topics: Data assimilation & Water content. The author has an hindex of 16, co-authored 26 publications receiving 762 citations. Previous affiliations of Jana Kolassa include Columbia University & Goddard Space Flight Center.
Papers
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Journal ArticleDOI
Regionally strong feedbacks between the atmosphere and terrestrial biosphere
Julia K. Green,Alexandra G. Konings,Alexandra G. Konings,Seyed Hamed Alemohammad,Seyed Hamed Alemohammad,Joseph A. Berry,Dara Entekhabi,Jana Kolassa,Jung-Eun Lee,Pierre Gentine +9 more
TL;DR: In this paper, satellite observations of solar-induced fluorescence, precipitation, and radiation using a multivariate statistical technique were analyzed and it was shown that these feedbacks are globally widespread and regionally strong: they explain up to 30% of precipitation and surface radiation variance.
Journal ArticleDOI
Soil Moisture Retrieval Using Neural Networks: Application to SMOS
Nemesio Rodriguez-Fernandez,Filipe Aires,Philippe Richaume,Yann Kerr,Catherine Prigent,Jana Kolassa,Francois Cabot,Carlos Jimenez,Ali Mahmoodi,Matthias Drusch +9 more
TL;DR: The NN-inverted SM is able to capture the temporal and spatial variability of the SM reference data set and open interesting perspectives such as a near-real-time processor and data assimilation in weather prediction models.
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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
Seyed Hamed Alemohammad,Bin Fang,Alexandra G. Konings,Filipe Aires,Julia K. Green,Jana Kolassa,Jana Kolassa,Diego G. Miralles,Catherine Prigent,Pierre Gentine +9 more
TL;DR: This is the first study to jointly retrieve LE, H and GPP using SIF observations, and uncertainty estimates of the retrievals are analysed and the inter-annual variability in average global and regional fluxes show the impact of distinct climatic events - such as the 2015 El Niño.
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Global Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using Assimilation Diagnostics
Rolf H. Reichle,Gabrielle De Lannoy,Qing Liu,Randal D. Koster,John S. Kimball,Wade T. Crow,Joseph V. Ardizzone,Purnendu Chakraborty,Douglas W. Collins,Austin Conaty,Manuela Girotto,Manuela Girotto,Lucas A. Jones,Jana Kolassa,Jana Kolassa,Hans Lievens,Hans Lievens,Robert A. Lucchesi,Edmond B. Smith +18 more
TL;DR: The O-F auto-correlations suggest that the SMAP observations are used efficiently in western North America, the Sahel, and Australia, but not in many forested regions and the high northern latitudes.
Journal ArticleDOI
Version 4 of the SMAP Level-4 Soil Moisture algorithm and data product
Rolf H. Reichle,Qing Liu,Randal D. Koster,Wade T. Crow,Gabrielle De Lannoy,John S. Kimball,Joseph V. Ardizzone,David D. Bosch,Andreas Colliander,Michael H. Cosh,Jana Kolassa,Jana Kolassa,Sarith Mahanama,John H. Prueger,Patrick J. Starks,Jeffrey P. Walker +15 more
TL;DR: For example, Reichle et al. as mentioned in this paper presented an overview of recent updates in the Level-4 Soil Moisture Active Passive (L4_SM) algorithm and an assessment of the quality of the resulting Version-4 soil moisture estimates.