Zobrazeno 1 - 10 of 30 pro vyhledávání: '"Jana Kolassa"'
1
Akademický článek
An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space
Autor: Sujay Kumar, Jana Kolassa, Rolf Reichle, Wade Crow, Gabrielle deLannoy, Patricia deRosnay, Natasha MacBean, Manuela Girotto, Andy Fox, Tristan Quaife, Clara Draper, Barton Forman, Gianpaolo Balsamo, Susan Steele‐Dunne, Clement Albergel, Bertrand Bonan, Jean‐Christophe Calvet, Jianzhi Dong, Hannah Liddy, Benjamin Ruston
Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 14, Iss 11, Pp n/a-n/a (2022)
Abstract The task of quantifying spatial and temporal variations in terrestrial water, energy, and vegetation conditions is challenging due to the significant complexity and heterogeneity of these conditions, all of which are impacted by climate chan
Externí odkaz: https://doaj.org/article/9bdb987585f74b83b9167d00c385e744
Zobrazit plný text záznamu
2
Akademický článek
Assimilation of SMAP Brightness Temperature Observations in the GEOS Land–Atmosphere Data Assimilation System
Autor: Rolf H. Reichle, Sara Q. Zhang, Qing Liu, Clara S. Draper, Jana Kolassa, Ricardo Todling
Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10628-10643 (2021)
Errors in soil moisture adversely impact the modeling of land–atmosphere water and energy fluxes and, consequently, near-surface atmospheric conditions in atmospheric data assimilation systems (ADAS). To mitigate such errors, a land surface analysi
Externí odkaz: https://doaj.org/article/e8c86ba33a6b496cabd5d4deb9c2bba8
Zobrazit plný text záznamu
3
Akademický článek
Version 4 of the SMAP Level‐4 Soil Moisture Algorithm and Data Product
Autor: Rolf H. Reichle, Qing Liu, Randal D. Koster, Wade T. Crow, Gabrielle J. M. De Lannoy, John S. Kimball, Joseph V. Ardizzone, David Bosch, Andreas Colliander, Michael Cosh, Jana Kolassa, Sarith P. Mahanama, John Prueger, Patrick Starks, Jeffrey P. Walker
Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 11, Iss 10, Pp 3106-3130 (2019)
Abstract The NASA Soil Moisture Active Passive (SMAP) mission Level‐4 Soil Moisture (L.4_SM) product provides global, 3‐hourly, 9‐km resolution estimates of surface (0–5 cm) and root zone (0–100 cm) soil moisture with a mean latency of ~2.5
Externí odkaz: https://doaj.org/article/48c72a39ec8349f98e2e041c5a8a4a7a
Zobrazit plný text záznamu
4
Akademický článek
An Observation‐Driven Approach to Improve Vegetation Phenology in a Global Land Surface Model
Autor: Jana Kolassa, Rolf H. Reichle, Randal D. Koster, Qing Liu, Sarith Mahanama, Fan‐Wei Zeng
Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 12, Iss 9, Pp n/a-n/a (2020)
Abstract An empirical model calibration approach is presented that aims to approximate missing biosphere processes in a global land surface model without the need for substantial model structural changes. The strategy is implemented here using the NA
Externí odkaz: https://doaj.org/article/a552bf16646a4128b891aef8ccaa56ce
Zobrazit plný text záznamu
5
Akademický článek
Data Assimilation to Extract Soil Moisture Information from SMAP Observations
Autor: Jana Kolassa, Rolf H. Reichle, Qing Liu, Michael Cosh, David D. Bosch, Todd G. Caldwell, Andreas Colliander, Chandra Holifield Collins, Thomas J. Jackson, Stan J. Livingston, Mahta Moghaddam, Patrick J. Starks
Publikováno v: Remote Sensing, Vol 9, Iss 11, p 1179 (2017)
This study compares different methods to extract soil moisture information through the assimilation of Soil Moisture Active Passive (SMAP) observations. Neural network (NN) and physically-based SMAP soil moisture retrievals were assimilated into the
Externí odkaz: https://doaj.org/article/427cfa35035b41f8bfe9bcc4eb854967
Zobrazit plný text záznamu
8
Assimilation of SMAP Brightness Temperature Observations in the GEOS Land–Atmosphere Data Assimilation System
Autor: Ricardo Todling, Sara Q. Zhang, Jana Kolassa, Qing Liu, Clara S. Draper, Rolf H. Reichle
Publikováno v: IEEE journal of selected topics in applied earth observations and remote sensing
Errors in soil moisture adversely impact the modeling of land–atmosphere water and energy fluxes and, consequently, near-surface atmospheric conditions in atmospheric data assimilation systems (ADAS). To mitigate such errors, a land surface analysi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b951d74b2b93c2ff95a4a553d0bb5c2
https://doi.org/10.1109/jstars.2021.3118595
Zobrazit plný text záznamu
10
Version 4 of the SMAP Level‐4 Soil Moisture Algorithm and Data Product
Autor: Qing Liu, Jana Kolassa, John H. Prueger, Gabrielle De Lannoy, Michael H. Cosh, John S. Kimball, David D. Bosch, Jeffrey P. Walker, Randal D. Koster, Rolf H. Reichle, Patrick J. Starks, Wade T. Crow, Andreas Colliander, Joseph V. Ardizzone, Sarith Mahanama
Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 11, Iss 10, Pp 3106-3130 (2019)
The NASA Soil Moisture Active Passive (SMAP) mission Level‐4 Soil Moisture (L.4_SM) product provides global, 3‐hourly, 9‐km resolution estimates of surface (0–5 cm) and root zone (0–100 cm) soil moisture with a mean latency of ~2.5 days. Th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::141d8bbd944cdc9ca0c3a7606603cfcb
https://doaj.org/article/48c72a39ec8349f98e2e041c5a8a4a7a
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje