A081
Insights into cloud and precipitation processes: Validating retrieval products and climate models with in-situ observations and remote sensing
Insights into cloud and precipitation processes: Validating retrieval products and climate models with in-situ observations and remote sensing
Session ID#: 79899
Session Description:
Over the last three decades, an increasing number of multi-platform field experiments (ground-based, shipborne, airborne, etc.) have improved our understanding of cloud and precipitation processes through collocated in-situ observations and remote sensing retrievals. However, collecting cloud and precipitation estimates from observations, mitigating retrieval uncertainties and incorporating these data within climate models remain challenging due to the range of scales at which cloud and precipitation processes occur relative to nominal model resolutions. Studies focused on understanding these processes using in-situ observations, validating remote sensing retrievals of precipitation and linking improvements in model characterization of cloud and precipitation processes to observational measurements are solicited.
Index Terms:
3354 Precipitation [ATMOSPHERIC PROCESSES]
3360 Remote sensing [ATMOSPHERIC PROCESSES]
3394 Instruments and techniques [ATMOSPHERIC PROCESSES]
Primary Convener: Andrew Dzambo, University of Wisconsin - Madison, Atmospheric and Oceanic Sciences, Madison, WI, United States
Conveners: Siddhant Gupta, University of Oklahoma Norman Campus, Norman, OK, United States, Rose Miller, University of Illinois at Urbana Champaign, Atmospheric Sciences, Urbana, IL, United States and Joseph R O'Brien, University of North Dakota, Grand Forks, United States
Primary Liaison: Siddhant Gupta, University of Oklahoma Norman Campus, Norman, OK, United States
See more of: Atmospheric Sciences
