作者: Matthew D. Shupe , John S. Daniel , Gijs de Boer , Edwin W. Eloranta , Pavlos Kollias
关键词: Meteorology 、 Radiative transfer 、 International Satellite Cloud Climatology Project 、 Environmental science 、 Mixed phase 、 Cloud computing 、 Arctic 、 Water cycle 、 CLOUD experiment 、 Focus (optics)
摘要: The phase composition and microphysical structure of clouds define the manner in which they modulate atmospheric radiation contribute to hydrologic cycle. Issues regarding cloud partitioning transformation come bear directly mixed-phase clouds, have been difficult address within current modeling frameworks. Ground-based, remote-sensing observations can a significant body knowledge with better understand, thereby more accurately model, their phase-defining processes. Utilizing example from Mixed-Phase Arctic Cloud Experiment (M-PACE), occurred at Department Energy (DOE) Atmospheric Radiation Measurement (ARM) Program's Climate Research Facility Barrow, Alaska, during autumn 2004, we review status ground-based observation retrieval methods used characterizing macrophysical, microphysical, radiative, dynamical properties stratiform clouds. In...