Cloud Microphysics and Atmospheric Structure : Application to MEGHA TROPIQUES Sachchida Nand Tripathi Department of Civil Engineering IIT.

Slides:



Advertisements
Similar presentations
R. Forbes, 17 Nov 09 ECMWF Clouds and Radiation University of Reading ECMWF Cloud and Radiation Parametrization: Recent Activities Richard Forbes, Maike.
Advertisements

1 START08 Heymsfield/Avallone UTLS PSDs Stratospheric PSDs Population-mean ice crystal densities Crystal shape information (SID-2) Extinction estimates.
Steven Siems 1 and Greg McFarquhar 2 1 Monash University, Melbourne, VIC, Australia 2 University of Illinois, Urbana, IL, USA Steven Siems 1 and Greg McFarquhar.
Electroscavenging of Condensation and Ice- Forming Nuclei Brian A. Tinsley University of Texas at Dallas WMO Cloud Modeling Workshop,
Applications of satellite measurements on dust-cloud-precipitation interactions over Asia arid/semi-arid region Jianping Huang Key Laboratory for Semi-Arid.
1/26/10MET 61 topic 01 1 MET 61 Topic 1 Precipitation Processes.
Clouds and Climate: Forced Changes to Clouds SOEE3410 Ken Carslaw Lecture 4 of a series of 5 on clouds and climate Properties and distribution of clouds.
ENVI3410 : Lecture 8 Ken Carslaw
Mean annual temperature (°F) Mean annual precipitation (inches)
METR215- Cloud Droplet Formation
Observational approaches to understanding cloud microphysics.
Using satellite-bourne instruments to diagnose the indirect effect A review of the capabilities and previous studies.
Cloud Microphysics SOEE3410 : Lecture 4 Ken Carslaw Lecture 2 of a series of 5 on clouds and climate Properties and distribution of clouds Cloud microphysics.
Spectral microphysics in weather forecast models with special emphasis on cloud droplet nucleation Verena Grützun, Oswald Knoth, Martin Simmel, Ralf Wolke.
Phase Changes Melting Vaporization Condensation Freezing Sublimation.
5. Formation and Growth of Ice Crystals
Lesson Outline Chapter 8 Unit 2
Chapter 7 – Precipitation Processes
Effects of size resolved aerosol microphysics on photochemistry and heterogeneous chemistry Gan Luo and Fangqun Yu ASRC, SUNY-Albany
ISCCP at 30. Influence of aerosols on mesoscale convective systems inferred from ISCCP and A-Train datasets Rong Fu & Sudip Chakraborty Jackson School.
Clouds, Aerosols and Precipitation GRP Meeting August 2011 Susan C van den Heever Department of Atmospheric Science Colorado State University Fort Collins,
Indian Institute of Technology Kanpur, India. First European Space Weather Week, ESTEC, Noordwijk, (The Netherlands), 29 th November-3 rd December 2004.
GEF2200 Stordal - based on Durkee 10/11/2015 Relative sizes of cloud droplets and raindrops; r is the radius in micrometers, n the number per liter of.
Why does it rain on us???.  3 cloud properties, 9 ISCCP cloud types  Why do clouds constitute a wildcard for climate change? Competition between greenhouse.
Jen-Ping Chen Department of Atmospheric Sciences National Taiwan University NCU Seminar 2010/11/30.
Department of Mechanical Engineering The Pearlstone Center for Aeronautical Engineering Studies Ben-Gurion University of the Negev P.O.B. 653, Beer Sheva.
Atmospheric Technology Division Rain In Cumulus over the Ocean Jorgen Jensen, Jeff Stith, Teresa Campos, Mary Barth, Dave Rogers NCAR science to complement.
EQ: How does the water cycle move energy and matter?
Water in the Atmosphere
Clouds Identify cloud types from photos
Group proposal Aerosol, Cloud, and Climate ( EAS 8802) April 24 th, 2006 Does Asian dust play a role as CCN? Gill-Ran Jeong, Lance Giles, Matthew Widlansky.
Ice in the Atmosphere W+H 6.5; S+P Ch. 17 Start with some terminology –Warm clouds = T > 0 ºC (= K) –Cold clouds = T < 0 ºC Cold clouds may or may.
Desert Dust Suppressing Precipitation: A possible Feedback Loop Paper by Daniel Rosenfeld et al. Presented by Derek Ortt February 19, 2007.
Cloud Microphysics Liz Page NWS/COMET Hydromet February 2000.
Cloud-Aerosol-climate feedback
The Water Cycle & The phase  ’s of H 2 O. The hydrologic cycle - simplified.
The role of boundary layer clouds in the global energy and water cycle: An integrated assessment using satellite observations Ralf Bennartz University.
Chapters 5 and 6 Cloud and Aerosol Physics
INUPIAQ/CLACE 2014 University of Manchester Data availability.
Clouds and Their Formation. What is a cloud? A Cloud consists of condensed water vapor, ice and dust (aerosols) There are three main types: cumulus, stratus,
Jetstream 31 (J31) in INTEX-B/MILAGRO. Campaign Context: In March 2006, INTEX-B/MILAGRO studied pollution from Mexico City and regional biomass burning,
Modeling. How Do we Address Aerosol-Cloud Interactions? The Scale Problem Process Models ~ 10s km Mesoscale Models Cloud resolving Models Regional Models.
Atmospheric Moisture. Water in the Atmosphere Water vapor is the source of all condensation and precipitation Essentially all water on Earth is conserved.
Application of Ice Microphysics to CAM Xiaohong Liu, S. J. Ghan (Pacific Northwest National Laboratory) M. Wang, J. E. Penner (University of Michigan)
FOG. Fog is a cloud (usually stratus) that is in contact with the ground. –Relatively stable air ie. Shallow lapse rate needed –Temperature to dew point.
Chien Wang Massachusetts Institute of Technology A Close Look at the Aerosol-Cloud Interaction in Tropical Deep Convection.
SIMULATION OF AEROSOL EFFECTS ON CONVECTIVE CLOUDS UNDER CONTINENTAL AND MARITIME CONDITIONS Alexander Khain, Andrei Pokrovsky and Daniel Rosenfeld Institute.
Clouds Identify cloud types from photos Recognize and define prefixes and suffixes for cloud types Associate general weather conditions with cloud types.
Parameterization of cloud droplet formation and autoconversion in large-scale models Wei-Chun Hsieh Advisor: Athanasios Nenes 10,Nov 2006 EAS Graduate.
Development of a detailed ice melting scheme within bin microphysics in a 3D cloud model: An analysis based on an idealized simulation case C. Planche.
Precipitation is any type of water that forms in the Earth's atmosphere and then drops onto the surface of the Earth.
COPE PRESENTATION Process Modeling and Ice Nuclei.
Water Cycle, Cloud Formation, and Severe Weather.
Mayurakshi Dutta Department of Atmospheric Sciences March 20, 2003
Toward Continuous Cloud Microphysics and Cloud Radiative Forcing Using Continuous ARM Data: TWP Darwin Analysis Goal: Characterize the physical properties.
WATER CYCLE ASSESSMENT NUMBER TWO REVIEW GOAL: WE WILL UNDERSTAND NEW WATER CYCLE VOCABULARY TERMS AND REVIEW THE WATER CYCLE PROCESS.
Chapter 7. Precipitation Processes  Precipitation is any form of water that falls from a cloud and reaches the ground.  How do cloud drops grow? When.
Matthew Christensen and Graeme Stephens
Review for Exam 2 Fall 2011 Topics on exam: Class Lectures:
Aim: What happens during a change of state?
Simulation of the Arctic Mixed-Phase Clouds
What are the causes of GCM biases in cloud, aerosol, and radiative properties over the Southern Ocean? How can the representation of different processes.
23-3 Precipitation.
Precipitation driving of droplet concentration variability in marine low clouds A simple steady-state budget model for cloud condensation nuclei, driven.
Droplet Nuclei Measurements in VOCALS Intro and Preliminary Results
The Water Cycle
Schematic diagram showing the various radiative mechanisms associated with cloud effects that have been identified as significant in relation to aerosols.
Review of Roesenfeld et al
Water Cycle.
Betsy Berry and Jay Mace University of Utah
Presentation transcript:

Cloud Microphysics and Atmospheric Structure : Application to MEGHA TROPIQUES Sachchida Nand Tripathi Department of Civil Engineering IIT Kanpur, INDIA

Cloud Microphysical Model  Microphysical model for mixed phase clouds is being developed Inputs : T, RH, chemically-resolved CCN and Ice nuclei (IN) size distribution Processes : (a) Warm-rain: Particle activation, condensational growth, collision and coalescence, evaporation, sedimentation (b) Cold-rain: Ice particle nucleation, condensational growth, depositional growth riming, melting, evaporation and sublimation, sedimentation Outputs : (a) Initial: Cloud-water droplet/Ice-crystal distribution (b) Intermediate: Liquid water content (LWC) / Ice-water (IW) (b) Final: Rain-drop distribution (Tripathi & Harrison, Atm. Env., 2001; Tripathi & Harrison, Atm. Res., 2002; Tripathi et al., AOPP Memorandum, 2004; Modgil et al., JGR, 2005, Kanawade and Tripathi, Accepted for JGR)  Aircraft measurements of Aerosol and Black Carbon vertical profile (Tripathi et al., GRL, 2005) Application to Megha Tropiques (MT) (a) T, RH, CCN & IN distribution MODEL OUTPUT MT- Retrieved LWC and IW Comparison with Inter- mediate & Final Output 1 st Stage : In-situ Aircraft measurements of (b) Cloud-water droplet/Ice- crystal distribution Model validation with Initial Output

 MODIS AOD has been validated by ground based sun photometer measurements over the polluted Kanpur region (Tripathi et al., Annales Geophysicae, 23, , 2005)  Validation of MODIS-derived COD and Cloud effective radius is being carried out by MST Radar measurements of NMRF at Gadanki  To study changes in Total Precipitable Water and Specific Humidity Profiles over north India due to increasing level of pollution and aerosol loading, analysis of radiosonde data from for New Delhi, Lucknow, Patna, Gorakhpur, Kolkata, Bhopal and Jaipur is in progress. Analysis of the Megha Tropiques data from 2009 onwards will give further idea about impacts of anthropogenic pollution on water cycle  The Rainfall and Water Vapor profile data of MT will be validated by in-situ measurements and satellite (e.g. TRMM, CloudSat) observations 2 nd Stage : Validation of Megha Tropiques Data product MT-retrieved (LWC/IW) R eff (for Cloud droplet & ice particle) Cloud Radiative Transfer Microphysical MODEL-derived (LWC/IW) Comparison Spatio-temporal domain Cloud- droplet/Ice particle distribution CloudSat (A-Train) satellite measures vertical distribution of R eff for evolving cloud. This data will be used as: (a) Input in the Microphysical model & (b) for Validation of MT data