Search Results - "Zhang, Sara Q."

A weakly coupled land surface analysis with SMAP radiance assimilation improves GEOS medium‐range forecasts of near‐surface air temperature and humidity by Reichle, Rolf H., Zhang, Sara Q., Kolassa, Jana, Liu, Qing, Todling, Ricardo

“…The NASA Goddard Earth Observing System (GEOS) employs a hybrid four‐dimensional ensemble‐variational (Hybrid‐4DEnVar) atmospheric data assimilation system to…”
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Impact of radiation frequency, precipitation radiative forcing, and radiation column aggregation on convection-permitting West African monsoon simulations by Matsui, Toshi, Zhang, Sara Q., Lang, Stephen E., Tao, Wei-Kuo, Ichoku, Charles, Peters-Lidard, Christa D.

“…In this study, the impact of different configurations of the Goddard radiation scheme on convection-permitting simulations (CPSs) of the West African monsoon…”
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Assimilation of SMAP Brightness Temperature Observations in the GEOS Land-Atmosphere Data Assimilation System by Reichle, Rolf H., Zhang, Sara Q., Liu, Qing, Draper, Clara S., Kolassa, Jana, Todling, Ricardo

“…Errors in soil moisture adversely impact the modeling of land-atmosphere water and energy fluxes and, consequently, near-surface atmospheric conditions in…”
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Assessing the impact of pre‐GPM microwave precipitation observations in the Goddard WRF ensemble data assimilation system by Chambon, Philippe, Zhang, Sara Q., Hou, Arthur Y., Zupanski, Milija, Cheung, Samson

“…The forthcoming Global Precipitation Measurement (GPM) Mission will provide next‐generation precipitation observations from a constellation of satellites…”
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Joint analysis of convective structure from the APR-2 precipitation radar and the DAWN Doppler wind lidar during the 2017 Convective Processes Experiment (CPEX) by Turk, F. Joseph, Hristova-Veleva, Svetla, Durden, Stephen L, Tanelli, Simone, Sy, Ousmane, Emmitt, G. David, Greco, Steve, Zhang, Sara Q

“…The mechanisms linking convection and cloud dynamical processes are major factors in much of the uncertainty in both weather and climate prediction. Further…”
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A Prototype WRF-Based Ensemble Data Assimilation System for Dynamically Downscaling Satellite Precipitation Observations by Zupanski, Dusanka, Zhang, Sara Q., Zupanski, Milija, Hou, Arthur Y., Cheung, Samson H.

“…In the near future, the Global Precipitation Measurement (GPM) mission will provide precipitation observations with unprecedented accuracy and spatial/temporal…”
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Object-Based Comparison of Data-Driven and Physics-Driven Satellite Estimates of Extreme Rainfall by Li, Zhe, Wright, Daniel B., Zhang, Sara Q., Kirschbaum, Dalia B., Hartke, Samantha H.

“…The Global Precipitation Measurement (GPM) constellation of spaceborne sensors provides a variety of direct and indirect measurements of precipitation…”
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Operational hydrological forecasting during the IPHEx-IOP campaign – Meet the challenge by Tao, Jing, Wu, Di, Gourley, Jonathan, Zhang, Sara Q., Crow, Wade, Peters-Lidard, Christa, Barros, Ana P.

“…•End-to-end operational QFF testbed with weather and distributed hydrology models.•Uncertainty quantification using fractally downscaled and blended QPE…”
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Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales by Peters-Lidard, Christa D., Kemp, Eric M., Matsui, Toshihisa, Santanello, Joseph A., Kumar, Sujay V., Jacob, Jossy P., Clune, Thomas, Tao, Wei-Kuo, Chin, Mian, Hou, Arthur, Case, Jonathan L., Kim, Dongchul, Kim, Kyu-Myong, Lau, William, Liu, Yuqiong, Shi, Jainn, Starr, David, Tan, Qian, Tao, Zhining, Zaitchik, Benjamin F., Zavodsky, Bradley, Zhang, Sara Q., Zupanski, Milija

“…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…”
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Assimilation of DAWN Doppler Wind Lidar Data During the 2017 Convective Processes Experiment (CPEX): Impact on Precipitation and Flow Structure by Hristova-Veleva, Svetla, Zhang, Sara Q, Turk, F Joseph, Haddad, Ziad S, Sawaya, Randy C

“…An improved representation of 3-D air motion and precipitation structure through forecast models and assimilation of observations is vital for improvements in…”
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Improving Assimilated Global Datasets Using TMI Rainfall and Columnar Moisture Observations by Hou, Arthur Y., Zhang, Sara Q., da Silva, Arlindo M., Olson, William S.

“…A global analysis that optimally combines observations from diverse sources with physical models of atmospheric and land processes can provide a comprehensive…”
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Improving Global Analysis and Short-Range Forecast Using Rainfall and Moisture Observations Derived from TRMM and SSM/I Passive Microwave Sensors by Hou, Arthur Y., Zhang, Sara Q., da Silva, Arlindo M., Olson, William S., Kummerow, Christian D., Simpson, Joanne

“…As a follow-on to the Tropical Rainfall Measuring Mission (TRMM), the National Aeronautics and Space Administration in the United States, the National Space…”
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Applications of information theory in ensemble data assimilation by Zupanski, Dusanka, Hou, Arthur Y., Zhang, Sara Q., Zupanski, Milija, Kummerow, Christian D., Cheung, Samson H.

“…We apply information theory within an ensemble‐based data assimilation approach and define information matrix in ensemble subspace. The information matrix in…”
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Assimilation of SMAP Observations Over Land Improves the Simulation and Prediction of Tropical Cyclone Idai by Kolassa, Jana, Ganeshan, Manisha, McGrath-Spangler, Erica, Reale, Oreste, Reichle, Rolf, Zhang, Sara Q

“…Soil moisture conditions can influence the evolution of a tropical cyclone (TC) that is partially or completely over land. Hence, better constraining soil…”
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Wavelet transform adapted to an approximate Kalman filter system by Tangborn, Andrew, Zhang, Sara Q.

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Improving assimilated global datasets using TMI Rainfall and columnar moisture observations: TRMM special issue by HOU, Arthur Y, ZHANG, Sara Q, DA SILVA, Arlindo M, OLSON, William S

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Non-Smooth Variational Data Assimilation with Sparse Priors by Ebtehaj, Ardeshir M, Foufoula-Georgiou, Efi, Zhang, Sara Q, Hou, Arthur Y

“…This paper proposes an extension to the classical 3D variational data assimilation approach by explicitly incorporating as a prior information, the…”
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