Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Jesse Meng"'
Autor:
Xinying Wu, Tongren Xu, Zengchao Hao, Baoqing Zhang, Jesse Meng, Chunxiang Shi, Yaohui Li, Youlong Xia
Publikováno v:
Journal of Meteorological Research. 33:159-189
Since the North American and Global Land Data Assimilation Systems (NLDAS and GLDAS) were established in 2004, significant progress has been made in development of regional and global LDASs. National, regional, project-based, and global LDASs are wid
Publikováno v:
Monthly Weather Review. 145:3969-3987
This study examines the performance of the NCEP Global Forecast System (GFS) surface layer parameterization scheme for strongly stable conditions over land in which turbulence is weak or even disappears because of high near-surface atmospheric stabil
Autor:
Lifeng Luo, Brian Cosgrove, Sujay V. Kumar, Jesse Meng, Youlong Xia, Helin Wei, David Mocko, Michael Ek, Michael J. Brewer, Christa D. Peters-Lidard, Kenneth E. Mitchell
Publikováno v:
Journal of Geophysical Research: Atmospheres. 121:2750-2779
The purpose of this study is to evaluate the components of the land surface water budget in the four land surface models (Noah, SAC-Sacramento Soil Moisture Accounting Model, (VIC) Variable Infiltration Capacity Model, and Mosaic) applied in the newl
Publikováno v:
Journal of Hydrometeorology. 16:857-873
Surface water and energy budgets from the National Centers for Environmental Prediction–U.S. Department of Energy (NCEP–DOE) Atmospheric Model Intercomparison Project (AMIP-II) Global Reanalysis 2 (GR2), the North American Regional Reanalysis (NA
Autor:
Jesse Meng, Youlong Xia, Helin Wei, Michael Ek, Nathaniel W. Chaney, Eric F. Wood, Jiarui Dong, Justin Sheffield
Publikováno v:
Journal of Hydrology. 512:107-125
Summary The North American Land Data Assimilation System (NLDAS) phase 2 (NLDAS-2) has generated 31-years (1979–2008) of water and energy products from four state-of-the-art land surface models (Noah, Mosaic, SAC, VIC). The soil moisture data from
Autor:
Qin Zhang, Shrinivas Moorthi, Mingyue Chen, Malaquías Peña Mendez, Yu-Tai Hou, Michael Ek, M. Iredell, Jesse Meng, Sudhir Nadiga, Hui Ya Chuang, Patrick Tripp, Wanqiu Wang, Rongqian Yang, Jiande Wang, Xingren Wu, David Behringer, Emily Becker, Huug van den Dool, Suranjana Saha
Publikováno v:
Journal of Climate. 27:2185-2208
The second version of the NCEP Climate Forecast System (CFSv2) was made operational at NCEP in March 2011. This version has upgrades to nearly all aspects of the data assimilation and forecast model components of the system. A coupled reanalysis was
Autor:
Eric F. Wood, Michael Ek, Justin Sheffield, Lifeng Luo, Helin Wei, Maoyi Huang, Song Feng, Youlong Xia, Jesse Meng, Ben Livneh
Publikováno v:
Journal of Applied Meteorology and Climatology. 52:455-471
Soil temperature can exhibit considerable memory from weather and climate signals and is among the most important initial conditions in numerical weather and climate models. Consequently, a more accurate long-term land surface soil temperature datase
Autor:
Pingping Xie, Kenneth E. Mitchell, George Gayno, Jesse Meng, Helin Wei, Michael Ek, Rongqian Yang
Publikováno v:
Journal of Hydrometeorology. 13:1621-1630
The NCEP Climate Forecast System Reanalysis (CFSR) uses the NASA Land Information System (LIS) to create its land surface analysis: the NCEP Global Land Data Assimilation System (GLDAS). Comparing to the previous two generations of NCEP global reanal
Publikováno v:
Hydrological Processes. 26:467-474
This study reports results from an analysis of the relationship between atmospheric forcing and model-simulated water and energy fluxes for the North American Land Data Assimilation System Project Phase 2 (NLDAS-2). The relationships between mean mon
Publikováno v:
Journal of Climate. 24:2319-2334
To examine the impact from land model upgrades and different land initializations on the National Centers for Environmental Prediction (NCEP)’s Climate Forecast System (CFS), extensive T126 CFS experiments are carried out for 25 summers with 10 ens