The Active Remote Sensing of Clouds (ARSCL) VAP combines data from active remote sensors to produce an objective determination of hydrometeor height distributions and estimates of their radar reflectivities, vertical velocities, and Doppler spectral widths, which are optimized for accuracy. These data provide fundamental information for retrieving cloud microphysical properties and assessing the radiative effects of clouds on climate.
arscl > Active Remote Sensing of CLoudsVAP Type(s) > Baseline • External
Primary Derived Measurements
Kingsmill D, M Seefeldt, and J Cassano. 2022. "Mesoscale evaluation of AMPS using AWARE radar observations of a wind and precipitation event over the Ross Island region of Antarctica." Quarterly Journal of the Royal Meteorological Society, , 10.1002/qj.4327. ACCEPTED.
Van Weverberg K and C Morcrette. 2022. "Sensitivity of Cloud‐Radiative Effects to Cloud Fraction Parametrizations in Tropical, Mid‐Latitude and Arctic Kilometre‐Scale Simulations." Quarterly Journal of the Royal Meteorological Society, , 10.1002/qj.4325. ACCEPTED.
Fitch K and T Garrett. 2022. "Measurement and Analysis of the Microphysical Properties of Arctic Precipitation Showing Frequent Occurrence of Riming." Journal of Geophysical Research: Atmospheres, 127(7), e2020JD035980, 10.1029/2021JD035980.
Tian Y, Y Zhang, and S Klein. 2022. "What determines the number and the timing of pulses in afternoon precipitation in the Green Ocean Amazon (GoAmazon) observations?" Geophysical Research Letters, 49(2), e2021GL096075, 10.1029/2021GL096075.
Galewsky J, M Jensen, and J Delp. 2022. "Marine Boundary Layer Decoupling and the Stable Isotopic Composition of Water Vapor." Journal of Geophysical Research: Atmospheres, 127(3), e2021JD035470, 10.1029/2021JD035470.
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