Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Sara Q. Zhang"'
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
Publikováno v:
Quarterly Journal of the Royal Meteorological Society.
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
Publikováno v:
J Hydrometeorol
The Global Precipitation Measurement (GPM) constellation of spaceborne sensors provides a variety of direct and indirect measurements of precipitation processes. Such observations can be employed to derive spatially and temporally consistent gridded
An improved representation of the 3-D air motion and precipitation structure through forecast models and assimilation of observations is vital for improvements in weather forecasting capabilities. However, there is little independent data to properly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfe1cb807fd40254be1ffd40f3b4aca0
https://doi.org/10.5194/amt-2020-503
https://doi.org/10.5194/amt-2020-503
Autor:
Svetla M. Hristova-Veleva, F. Joseph Turk, Steve Greco, Stephen L. Durden, Simone Tanelli, Sara Q. Zhang, Ousmane O. Sy, G. David Emmitt
Publikováno v:
Atmospheric Measurement Techniques, Vol 13, Pp 4521-4537 (2020)
The mechanisms linking convection and cloud dynamical processes is a major factor in much of the uncertainty in both weather and climate prediction. Further constraining the uncertainty in convective cloud processes linking 3-D air motion and cloud s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec57c986b867f8bb1c17d57c18a99699
https://doi.org/10.5194/amt-2020-4
https://doi.org/10.5194/amt-2020-4
Autor:
Stephen Lang, Charles Ichoku, Wei-Kuo Tao, Toshi Matsui, Sara Q. Zhang, Christa D. Peters-Lidard
Publikováno v:
Climate Dynamics. 55:193-213
In this study, the impact of different configurations of the Goddard radiation scheme on convection-permitting simulations (CPSs) of the West African monsoon (WAM) is investigated using the NASA-Unified WRF (NU-WRF). These CPSs had 3 km grid spacing
Publikováno v:
Monthly Weather Review. 145:3881-3900
This work assimilates multisensor precipitation-sensitive microwave radiance observations into a storm-scale NASA Unified Weather Research and Forecasting (NU-WRF) Model simulation of the West African monsoon. The analysis consists of a full descript
Autor:
Jonathan J. Gourley, Wade T. Crow, Ana P. Barros, Sara Q. Zhang, Jing Tao, Di Wu, Christa D. Peters-Lidard
Publikováno v:
Journal of Hydrology. 541:434-456
Summary An operational streamflow forecasting testbed was implemented during the Intense Observing Period (IOP) of the Integrated Precipitation and Hydrology Experiment (IPHEx-IOP) in May–June 2014 to characterize flood predictability in complex te
Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales
Autor:
Qian Tan, Yuqiong Liu, Eric M. Kemp, Bradley Zavodsky, Dongchul Kim, Wei-Kuo Tao, Jonathan L. Case, William K. M. Lau, Arthur Y. Hou, Benjamin F. Zaitchik, Milija Zupanski, Joseph A. Santanello, Zhining Tao, Mian Chin, Kyu-Myong Kim, Toshihisa Matsui, Christa D. Peters-Lidard, Sara Q. Zhang, Sujay V. Kumar, Thomas Clune, Jossy P. Jacob, David Oc. Starr, Jainn J. Shi
Publikováno v:
Environmental Modelling & Software. 67:149-159
With support from NASA's Modeling and Analysis Program, we have recently developed the NASA Unified-Weather Research and Forecasting model (NU-WRF). NU-WRF is an observation-driven integrated modeling system that represents aerosol, cloud, precipitat