CLDMWVALIDATION
COPS - Cloud Microwave Validation Experiment in Support of CLOWD
22 June 2007 - 31 December 2007
Lead Scientist: Andrew Vogelmann
Observatory: AMF, FKB
The overarching objective is improving our understanding of existing uncertainties in the observations and spectroscopy in the microwave region. Cloud property retrievals using microwave radiometers (MWRs) offer a promising method for obtaining the needed observations of cloud liquid-water path (LWP). However, unresolved issues in the microwave radiometry for clouds cause uncertainties in retrieved cloud liquid-water paths that are presently too large when the clouds are thin (e.g., < 100 gm2), hereafter referred to as Clouds with Low Optical (Water) Depth (CLOWD). These clouds are important because, from the tropics to the Arctic, 50% or more of the liquid-water clouds have LWPs below this limit; because the Earth’s radiative energy balance is particularly sensitive to small perturbations in their LWP, small uncertainties in their optical properties can easily affect changes in the local radiative energy balance in excess of that for doubled carbon dioxide (Turner et al., Bull. Amer. Met. Soc., February, 2007). Thus, resolving such uncertainties would have a huge impact on CLOWD-related science issues (e.g., cloud radiative impacts, aerosol indirect effects). The current accuracy of MWR retrievals is limited by: 1) uncertainties in the gas spectroscopy and liquid water dielectric constants used by the microwave absorption models; and 2) the uncertainty associated with inverting the forward model (i.e., the retrieval method itself). Additionally, uncertainties in the radiometric observations (i.e., their calibration) might contribute to instrument-to-instrument differences. The key to addressing this problem is unraveling the different types of uncertainties (instrumental, state variable, microwave absorption models). To address the pressing issues, the ARM Climate Research Facility (ACRF) deployed one of the new 90/150 GHz microwave radiometers with the ARM Mobile Facility (AMF) during its 9-month observation period involved with the Convective and Orographically-induced Precipitation Study (COPS) in 2007. This deployment addressed some of the issues by taking advantage of the multiple microwave radiometer measurements that were present at this AMF deployment. The AMF had its standard MWR instruments that included its two-channel MWR, and the 12 channel MWR profiler. European instrumentation were co-sited with the AMF and included a second 90/150 GHz MWR (very similar to that purchased by ACRF), and a 14-channel profiling MWR. There was also excellent water vapor and temperature-profiling information from frequent sonde launches, and retrievals from a water vapor DIfferential Absorption Lidar (DIAL) and temperature profiles from a Raman lidar. Together, these observations offered an excellent database to address the unresolved microwave uncertainties and were further aided by additional measurements made by the AMF. The primary objectives of the proposal were to conduct calibration comparisons between the different microwave sensors, and investigate the synergies possible with all of the microwave information available. The expected benefits were: 1) Take advantage of the presence of multiple MWR instruments to intercompare the calibrations of our 90/150 GHz MWR and the 12 Channel MWR with those from like instruments, 2) Develop a single, long-term, comprehensive MWR radiometric database with complementary data on atmospheric state and cloud properties, leading to the following key objective, 3) Resolve the nature of the uncertainties that exist in the MWR absorption models by intercomparing the different microwave absorption models that are used within the field with these observations; and 4) Use the LWP obtained from the MWRs to evaluate with those obtained from the visible and infrared retrieval methods. This objective was of direct relevance to the ARM Climate Research Facility (ACRF) mission of studying and monitoring the Earth’s system, since clouds are an essential element of the Earth’s climate. Steering Committee: Andrew M. Vogelmann, Co-Chair (BNL), David D. Turner, Co-Chair (University of Wisconsin-Madison), Maria Cadeddu (ANL), Christine Chiu (JCET), Jennifer Comstock (PNNL), Jim Liljegren (ANL), Alexander Marshak (NASA Goddard)Campaign Links
Related Publications
View all- Borque et al. "Relationship Between Turbulence and Drizzle in Continental and Marine Low Stratiform Clouds". 2018. 10.1175/JAS-D-18-0060.1.
Related Campaigns
Timeline
FKB Data Sources
Name | Full Name | Browse Data |
---|---|---|
AERI
|
Atmospheric Emitted Radiance Interferometer | Browse Data |
AERINF
|
AERI Noise Filtered | Browse Data |
AIP
|
Aerosol Intensive Properties | Browse Data |
AOD-MFRSR
|
Aerosol Optical Depth (AOD) derived from MFRSR measurements | Browse Data |
AOS
|
Aerosol Observing System | Browse Data |
CAMSITE
|
camera that monitors a site area | Browse Data |
CCN
|
Cloud Condensation Nuclei Particle Counter | Browse Data |
CEIL
|
Ceilometer | Browse Data |
CSPHOT
|
Sunphotometer | Browse Data |
ECMWFDIAG
|
European Centre for Medium Range Weather Forecasts Diagnostic Analyses | Browse Data |
ECOR
|
Eddy Correlation Flux Measurement System | Browse Data |
GNDRAD
|
Ground Radiometers on Stand for Upwelling Radiation | Browse Data |
MERGESONDE
|
Merged Sounding | Browse Data |
MET
|
Surface Meteorological Instrumentation | Browse Data |
MFRSR
|
Multifilter Rotating Shadowband Radiometer | Browse Data |
MFRSRCLDOD
|
Cloud Optical Properties from MFRSR Using Min Algorithm | Browse Data |
MPL
|
Micropulse Lidar | Browse Data |
MPLAVG
|
MPL: data averaged to fixed 30 second interval, e.g. for polarized data | Browse Data |
MPLCMASK
|
Cloud mask from Micropulse Lidar | Browse Data |
MWR
|
Microwave Radiometer | Browse Data |
MWRHF
|
Microwave Radiometer - High Frequency | Browse Data |
MWRP
|
Microwave Radiometer Profiler | Browse Data |
MWRRET
|
MWR Retrievals | Browse Data |
NCEPGFS
|
National Centers for Environment Prediction Global Forecast System | Browse Data |
NFOV
|
Narrow Field of View Zenith Radiometer | Browse Data |
PBLHT
|
Planetary Boundary Layer Height | Browse Data |
QCECOR
|
Quality Controlled Eddy Correlation Flux Measurement | Browse Data |
QCRAD
|
Data Quality Assessment for ARM Radiation Data | Browse Data |
RADFLUXANAL
|
Radiative Flux Analysis | Browse Data |
RWP
|
Radar Wind Profiler | Browse Data |
SKYRAD
|
Sky Radiometers on Stand for Downwelling Radiation | Browse Data |
SONDE
|
Balloon-Borne Sounding System | Browse Data |
SONDEADJUST
|
Sonde Adjust | Browse Data |
TSI
|
Total Sky Imager | Browse Data |
VISST
|
Minnis Cloud Products Using Visst Algorithm | Browse Data |
WACR
|
W-Band (95 GHz) ARM Cloud Radar | Browse Data |
WACRARSCL
|
W-band Cloud Radar Active Remote Sensing of Cloud | Browse Data |
Keep up with the Atmospheric Observer
Updates on ARM news, events, and opportunities delivered to your inbox
ARM User Profile
ARM welcomes users from all institutions and nations. A free ARM user account is needed to access ARM data.