Drizzle and Cloud Cellular Structures in Marine Stratocumulus over the Southeast Pacific: Model Simulations Hailong Wang 1,2,3, Graham Feingold 2, Rob.

Slides:



Advertisements
Similar presentations
1 CIRA/NOAA/ESRL, Boulder, CO
Advertisements

Weather Dynamics in Earth’s Atmosphere. An atmosphere is a blanket of a gases surrounding a planet. Earth’s atmosphere has distinct layers defined by.
Stratus. Outline  Formation –Moisture trapped under inversion –Contact layer heating of fog –Fog induced stratus –Lake effect stratus/strato cu  Dissipation.
Aerosol-Precipitation Responses Deduced from Ship Tracks as Observed by CloudSat Matthew W. Christensen 1 and Graeme L. Stephens 2 Department of Atmospheric.
Semi-direct effect of biomass burning on cloud and rainfall over Amazon Yan Zhang, Hongbin Yu, Rong Fu & Robert E. Dickinson School of Earth & Atmospheric.
Applications of satellite measurements on dust-cloud-precipitation interactions over Asia arid/semi-arid region Jianping Huang Key Laboratory for Semi-Arid.
Benjamin A. Schenkel and Robert E. AMS Tropical Conference 2012 Department of Earth, Ocean, and Atmospheric Science.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Effect of Turbulence on Cloud Microstructure,
Course Schedule Overview Natural Environments: The Atmosphere GE 101 – Spring 2007 Boston University Myneni Feb (1 of 1) GG101 Overview (L01) Part.
Robert Wood, University of Washington many contributors VOCALS Regional Experiment (REx) Goals and Hypotheses.
Acknowledgments This research was supported by the DOE Atmospheric Radiation Measurements Program (ARM) and by the PNNL Directed Research and Development.
Lecture 6: The Hydrologic Cycle EarthsClimate_Web_Chapter.pdfEarthsClimate_Web_Chapter.pdf, p. 10, 16-17, 21, 31-32, 34.
Precipitation and albedo variability in marine low clouds
Convective Feedback: Its Role in Climate Formation and Climate Change Igor N. Esau.
Case Study Example 29 August 2008 From the Cloud Radar Perspective 1)Low-level mixed- phase stratocumulus (ice falling from liquid cloud layer) 2)Brief.
Condensation in the Atmosphere The atmosphere contains a mixture of dry air and a variable amount of water vapor (0-4% or 0-30 g/kg) An air parcel is said.
Introduction to Cloud Dynamics We are now going to concentrate on clouds that form as a result of air flows that are tied to the clouds themselves, i.e.
Paper 1: UHI from Beijing Jin, S. M. 2012: Developing an Index to Measure Urban Heat Island Effect Using Satellite Land Skin Temperature and Land Cover.
Aerosol-Cloud Interactions and Radiative Forcing: Modeling and Observations Graham Feingold 1, K. S. Schmidt 2, H. Jiang 3, P. Zuidema 4, H. Xue 5, P.
Forecast simulations of Southeast Pacific Stratocumulus with CAM3 and CAM3-UW. Cécile Hannay (1), Jeffrey Kiehl (1), Dave Williamson (1), Jerry Olson (1),
Dual-Aircraft Investigation of the inner Core of Hurricane Norbert. Part Ⅲ : Water Budget Gamache, J. F., R. A. Houze, Jr., and F. D. Marks, Jr., 1993:
Marine Stratus and Its Relationship to Regional and Large-Scale Circulations: An Examination with the NCEP CFS Simulations P. Xie 1), W. Wang 1), W. Higgins.
Evaluating forecasts of the evolution of the cloudy boundary layer using radar and lidar observations Andrew Barrett, Robin Hogan and Ewan O’Connor Submitted.
Control of Cloud Droplet Concentration in Marine Stratocumulus Clouds
Large Eddy Simulation of Low Cloud Feedback to a 2-K SST Increase Anning Cheng 1, and Kuan-Man Xu 2 1. AS&M, Inc., 2. NASA Langley Research Center, Hampton,
April Hansen et al. [1997] proposed that absorbing aerosol may reduce cloudiness by modifying the heating rate profiles of the atmosphere. Absorbing.
On the Definition of Precipitation Efficiency Sui, C.-H., X. Li, and M.-J. Yang, 2007: On the definition of precipitation efficiency. J. Atmos. Sci., 64,
Using Ship Tracks to Characterize the Effects of Haze on Cloud Properties Matthew W. Christensen, James A. Coakley, Jr., Matthew S. Segrin, William R.
Boundary Layer Clouds.
Radiative Impacts of Cirrus on the Properties of Marine Stratocumulus M. Christensen 1,2, G. Carrió 1, G. Stephens 2, W. Cotton 1 Department of Atmospheric.
Robert Wood, Atmospheric Sciences, University of Washington The importance of precipitation in marine boundary layer cloud.
Satellite Interpretation & Weather Patterns West of the Cascades Clinton Rockey Aviation Meteorologist.
Modeling Mesoscale Cellular Structures and Drizzle in Marine Stratocumulus Wang and Feingold, JAS, 2009 Part I,II Wang et al, ACP, 2010 Feingold et al,
Observed Structure of the Atmospheric Boundary Layer
Evaluation of radiative properties of low and high clouds in different regimes using satellite measurements Bing Lin 1, Pat Minnis 1, and Tai-Fang Fan.
A Non-POC HYPOTHESIS (A. Clarke): The persistence of the adjacent Scu clouds that define a POC region is sustained as a result of entrainment of aged aerosol.
Stratocumulus-topped Boundary Layer
A Subtropical Cyclonic Gyre of Midlatitude Origin John Molinari and David Vollaro.
A Case Study of Decoupling in Stratocumulus Xue Zheng MPO, RSMAS 03/26/2008.
The EPIC 2001 SE Pacific Stratocumulus Cruise: Implications for Cloudsat as a stratocumulus drizzle meter Rob Wood, Chris Bretherton and Sandra Yuter (University.
PAPERSPECIFICS OF STUDYFINDINGS Kohler, 1936 (“The nucleus in and the growth of hygroscopic droplets”) Evaporate 2kg of hoar-frost and determined Cl content;
Chapter 9 Winds: Small scale and local systems. Scales of motion Smallest - microscale (few meters or less) Middle - Mesoscale (few to about 100 km) Large.
THE INFLUENCE OF WIND SPEED ON SHALLOW CUMULUS CONVECTION from LES and bulk theory Louise Nuijens and Bjorn Stevens University of California, Los Angeles.
Background – Building their Case “continental” – polluted, aerosol laden “maritime” – clean, pristine Polluted concentrations are 1-2 orders of magnitude.
Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes.
Microphysical-dynamical interactions in an idealized tropical cyclone simulation Stephen R. Herbener and William R. Cotton Colorado State University, Fort.
Mayurakshi Dutta Department of Atmospheric Sciences March 20, 2003
1 Detailed Microphysical Model Simulations of Freezing Drizzle Formation Istvan Geresdi Roy Rasmussen University of Pecs, Hungary NCAR Research funded.
Condensation in the Atmosphere
Sensitivity to the Representation of Microphysical Processes in Numerical Simulations during Tropical Storm Formation Penny, A. B., P. A. Harr, and J.
Dynamics in Earth’s Atmosphere
Derek Ortt1 and Shuyi S. Chen, RSMAS/University of Miami
Advisors: Fuqing Zhang and Eugene Clothiaux
Shifting the diurnal cycle of parameterized deep convection over land
MM5- and WRF-Simulated Cloud and Moisture Fields
Simulation of the Arctic Mixed-Phase Clouds
Water Budget of Typhoon Nari(2001)
BRETTS-MILLER-JANJIC SCHEME
Weather and Climate.
Mark A. Bourassa and Qi Shi
Condensation in the Atmosphere
Annual cycle of cloud fraction and surface radiative cloud forcing in the South-East Pacific Stratocumulus region Virendra P. Ghate and Bruce A. Albrecht.
Dynamics in Earth’s Atmosphere
Earth’s Atmosphere.
Sensitivity of WRF microphysics to aerosol concentration
NRL POST Stratocumulus Cloud Modeling Efforts
VOCALS Open Ocean: Science and Logistics
Cloud-topped boundary layer response time scales in MLM and LES
A Bulk Parameterization of Giant CCN
Kurowski, M .J., K. Suselj, W. W. Grabowski, and J. Teixeira, 2018
Presentation transcript:

Drizzle and Cloud Cellular Structures in Marine Stratocumulus over the Southeast Pacific: Model Simulations Hailong Wang 1,2,3, Graham Feingold 2, Rob wood 4, and Jan Kazil 2,3 1 Pacific Northwest National Laboratory 2 NOAA Earth System Research Laboratory 3 CIRES, University of Colorado 4 University of Washington Introduction Results I: Diurnal Variations Results II: on the Formation of POCs A13J-0423  Vast areas of subtropical oceans are covered by stratocumulus (Sc) clouds, regulating solar heating to the ocean; It is argued that a 4% increase in the amount of Sc could offset the warming caused by CO 2 doubling.  Satellite imagery of Sc shows the recurrence of open- and closed-cell patterns that have distinct differences in cloud albedo; What controls the formation of Pockets of Open Cells (POCs) that are embedded in closed cells has been unclear.  Based on VOCALS-REx observations, cloud-resolving model simulations are used to examine the effectiveness of potential factors at promoting drizzle and POC formation. Fig. 1: Vertical profiles of potential temperature θ and water vapor mixing ratio q v observed during C-130 research flight 6 (RF06; POC-drift mission) in overcast (black circles), POCs (hexagons) and heavily precipitating boundaries (plus signs) region; Constructed “drier” (solid lines) and “wetter” (dotted lines) profiles are used to initiate model simulations.  We use the Weather Research and Forecasting (WRF) model (version 3.1) with a two- moment microphysics and the monotonic advection scheme (Feingold et al. 1998; Wang et al. 2009; Wang and Feingold 2009a,b).  Six experiments (D30, D150, D500, W30, W150 and W500) are performed to examine diurnal variations of cloud properties under “drier” (D) and “wetter” (W) conditions (Fig. 1) for given initial cloud condensation nuclei (CCN) number concentration s of 30, 150 and 500 cm -3 in 60×60 km 2 domain for 36 hours. Fig. 2: diurnal variations of (a) LWP, (b) cloud fraction, (c) cloud-base rain rate and (d) drop (solid lines) and total particle (dotted lines) number concentrations; Drizzle is more sensitive to temperature and moisture perturbations (Δθ=-1 K; Δq v =+0.9 g kg -1 ) than to a five-fold decrease in CCN (150 vs. 30 cm -3 ); The Sc deck that breaks up due solely to solar heating recovers at night; Precipitation is open-cell cases deplete CCN to an extent that cloud formation is significantly suppressed. Fig. 3: same as Fig. 2 but for D30 and other four experiments with different CCN source strengths (3.6 cm -3 h -1 for SA1 and SP1; 0.72 cm -3 h -1 for SA2 and SP2) and start time (“A” and “P” indicates 6 am and 6 pm respectively; a weak source starting from the late afternoon is sufficient to maintain clouds, suggesting that some local/remote CCN sources are necessary for POCs to endure for days.  One control (CTRL) and eight sensitivity experiments are performed to explore the effectiveness of perturbations (as indicated on top of each panel in Fig. 4) in CCN, moisture and/or temperature, surface sensible and/or latent heat fluxes in the domain center (outlined by dotted lines) at promoting drizzle and POC formation. Control experiment Δq v : 0~0.9 g kg -1 CCN: 30~150 cm -3 Δq v + Δθ Δθ: -1~0 K 2x(Δq v + Δθ) LFX: 150~300 W m -2 SFX: 15~30 W m -2 ΔLFX + ΔSFX CCN:150 cm -3 “Drier sounding” 148 W m -2 3 W m -2 Fig. 4: Cloud albedo fields at t = 6 h; Drizzle and POC formation respond faster to the CCN reduction than to the moisture increase, but the latter generates stronger and more enduring drizzle; The temperature decrease in the center promotes cloud thickening outside of the perturbed area even if it’s combined with the moisture increase; An increase of surface sensible heat flux can thicken local clouds and promote drizzle, even more effectively when latent heat flux is together enhanced, although the sole increase of latent heat flux does not help much in 6 hours. Fig. 6: Snapshots of 200-m vertical velocity w (left), 200-m q v (middle) and cloud albedo (right) at t = 3, 6 and 9 h from an experiment that has the same initial conditions as in CTRL but with “2x(Δq v + Δθ)” perturbations in the middle 15-km wide stripe; contours of rain rate (0.2, 5, and 20 mm day -1 ) are superimposed on the q v fields. A circulation originated from the perturbations transports lower-level moist air out of the perturbed area. Air converges along the gust fronts and clouds are thickened; however, massive convergence and drizzle is triggered in a remote area where lower- level moisture transport is blocked by counter flow. This represents a potential mechanism for POC formation in closed cells near a broad region of open cells where strong precipitation can initiate such a circulation (Wang and Feingold 2009b). Summary References Acknowledgements: This work was mostly supported by NOAA’s Climate Goal program when HW was at CIRES/NOAA ESRL; HW thanks PNNL for support to having it finished up. The authors thank the team of scientists, engineers, and support staff for their efforts in making VOCALS-Rex such a success. Fig. 5: Same as Fig.1 but with mean profiles (t = 3-9 h) in open cells (D30; dotted lines) and closed cells (D500; solid lines) superimposed; Thick gray lines represent initial “drier” sounding; Precipitation in the open-cell case moistens and cools the lower-level air to the observed states in open-cell region. Feingold, G., et al., Atmos. Res., 47–48, 505–528. Wang, H., and G. Feingold, 2009a. J. Atmos. Sci., 66, Wang, H., and G. Feingold, 2009b. J. Atmos. Sci., 66, Wang, H., W. C. Skamarock and G. Feingold, Mon. Wea. Rev.,137,  Both open- and closed-cell clouds exhibit distinct diurnal variations;  A source is necessary to balance the depletion of CCN by precipitation to maintain open cells;  Drizzle over a broad region is more sensitive to the initial meteorological perturbations than to the microphysical perturbation;  Marked differences in lower-level temperature and moisture between overcast and open-cell regions could result from precipitation in open cells;  A local CCN reduction and moisture increase can initiate drizzle and open cells embedded in closed cells;  A temperature decrease can induce a circulation that prevents local drizzle formation but promotes it in a remote area; This represents a potential mechanism for POC formation in the Southeast Pacific stratocumulus region whereby the circulation is triggered by strong precipitation in adjacent broad regions of open cells;