B
Baike Xi
Researcher at University of Arizona
Publications - 112
Citations - 2774
Baike Xi is an academic researcher from University of Arizona. The author has contributed to research in topics: Cloud fraction & Cloud cover. The author has an hindex of 25, co-authored 100 publications receiving 2258 citations. Previous affiliations of Baike Xi include University of North Dakota.
Papers
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Evaluation of CMIP5 simulated clouds and TOA radiation budgets using NASA satellite observations
TL;DR: In this paper, the simulated total cloud fraction (CF), cloud water path (CWP), top of the atmosphere (TOA) radiation budgets and cloud radiative forcings (CRFs) from 28 CMIP5 AMIP models are evaluated and compared with multiple satellite observations from CERES, MODIS, ISCCP, CloudSat, and CALIPSO.
Journal ArticleDOI
Life Cycle of Midlatitude Deep Convective Systems in a Lagrangian Framework
Zhe Feng,Zhe Feng,Xiquan Dong,Baike Xi,Sally A. McFarlane,Aaron Kennedy,Bing Lin,Patrick Minnis +7 more
TL;DR: In this paper, an automated satellite tracking method is used in conjunction with a recently developed multi-sensor hybrid classification to analyze the evolution of DCS structure in a Lagrangian framework over the central United States.
Book
A Climatology of Midlatitude Continental Clouds from the Arm Sgp Central Facility.Part II; Cloud Fraction and Radiative Forcing
TL;DR: In this article, a record of single-layer and overcast low cloud (stratus) properties has been generated using approximately 4000 h of data collected from January 1997 to December 2002 at the Atmospheric Radiation Measurement (ARM) Southern Great Plains Central Facility (SCF).
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A 19-Month Record of Marine Aerosol–Cloud–Radiation Properties Derived from DOE ARM Mobile Facility Deployment at the Azores. Part I: Cloud Fraction and Single-Layered MBL Cloud Properties
TL;DR: A 19-month record of total and single-layered low (,3km), middle (3 6km), and high (6km) cloud fractions was generated from ground-based measurements at the Atmospheric Radiation Measurement Program (ARM) Azores site between June 2009 and December 2010.
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Top-of-atmosphere radiation budget of convective core/stratiform rain and anvil clouds from deep convective systems
TL;DR: In this article, a new hybrid classification algorithm to objectively identify deep convective systems (DCSs) in radar and satellite observations has been developed, which can classify the convective cores (CC), stratiform rain (SR) area and nonprecipitating anvil cloud (AC) from the identified DCSs through an integrative analysis of ground-based scanning radar and geostationary satellite data over the Southern Great Plains.