Connecting Microscale Processes to Mesoscale Phenomena: Improving - - PowerPoint PPT Presentation

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Connecting Microscale Processes to Mesoscale Phenomena: Improving - - PowerPoint PPT Presentation

Connecting Microscale Processes to Mesoscale Phenomena: Improving Cold Pool Parameterizations Holly Mallinson PhD. Student Prodi 1969 Testik and Rahman 2017 Sonia Lasher-Trapp Project PI Vardiman 1978 Blue Waters Symposium 3 June 2019


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SLIDE 1

Connecting Microscale Processes to Mesoscale Phenomena: Improving Cold Pool Parameterizations

Holly Mallinson

  • PhD. Student

Sonia Lasher-Trapp Project PI Blue Waters Symposium 3 June 2019

NOAA Photo Library

Vardiman 1978 Prodi 1969 Testik and Rahman 2017

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SLIDE 2

I use Blue Waters to...

Connect small-scale (precipitation) processes to larger- scale (thunderstorm) phenomena

u

What kind(s) of precipitation are most important for forming, sustaining, and determining cold pool properties

u A stronger storm outflow can generate new storm development

however…

u Parameterizations in larger-scale models lack sufficient

representation of convective components (i.e. cold pools)

u Thus larger-scale models fail to predict longer episodes of

convective activity!

u

Improving parameterizations requires a detailed understanding

  • f the physical drivers of cold pools

u Requires multiple realizations of high-resolution simulations,

with high-frequency output of large data files to quantify

has allowed us to pursue these questions!

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SLIDE 3

Updraft (inflow) Downdraft (outflow)

Cold Pool

25 50 75 25 50 75 100 100 75 50 25 25 50 75

km km km km

Mallinson and Lasher-Trapp, in review

Cold Pool Overview

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SLIDE 4

&HAIL

Precipitation Processes

u

Recall: Improving parameterizations requires a detailed understanding of the physical drivers of cold pools

u

To accomplish this, we want to change the precipitating hydrometeor’s properties

u

Variability in the initial fields creates variability in the precipitation properties (i.e. “trickle-down” effect)

u

This changes microphysical characteristics of storms while keeping dynamics relatively unchanged!

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SLIDE 5

To summarize…

We change the initial precipitation processes to look at how hydrometeors influence cold pools

Requires multiple realizations of high-resolution simulations, with high-frequency output of large data files to quantify

Mallinson and Lasher-Trapp, in review

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SLIDE 6

Model and Analysis Tools

u

CM1 Model– Dr. George Bryan, NCAR

u Coarse-grained, pure MPI, 3D cloud model, designed to

scale to tens of thousands of processors, written in FORTRAN

u 3rd-order RK integration; 5th/6th order advection u NSSL double-moment microphysics (important for

  • precip. development, but increases number of

calculations and memory required)

u Domain sizes are 250 kilometers wide; grid spacing is

250 m with a time step of 1 second

u 80 million grid boxes in domain u 800 node hours per run

This is the most number of simulations and the highest resolution that has been used to address this topic

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SLIDE 7

Cold Pool Formation

u

Still ambiguity regarding most important downdraft properties forming cold pool

Mallinson and Lasher-Trapp, in review

u

Variability in dominant hydrometeor

u

Range of downdraft strengths that form the cold pool

u

However…speed of rain formation (warm-rain process) appear most important for determining cold pool onset

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SLIDE 8

Cold Pool Sustenance

▶ Calculations of latent cooling in downdrafts (offline):

▶ NCL/FORTRAN code searches for cold pool & associated

downdrafts connected to it at each output time

✓ ✓ ✓ ✓ ✓

Cold Pool

✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓

Theta Perturbation Theta Perturbation and Strong Downdrafts

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SLIDE 9

Cold Pool Sustenance

▶ Calculations of latent cooling in downdrafts (offline):

▶ NCL/FORTRAN code searches for cold pool & associated

downdrafts connected to it at each output time

✓ ✓ ✓ ✓ ✓

Cold Pool

✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓

Mallinson and Lasher- Trapp, in review

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SLIDE 10

Cold Pool Sustainment

Mallinson and Lasher-Trapp, in review

u

Graupel is the dominate hydrometeor in all realizations despite differences in the initial microphysics

u

But rain evaporation has the strongest influence on:

u Expansion rate u Depth u Strength

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SLIDE 11

Cold Pool Sustainment

Mallinson and Lasher-Trapp, in review

u

But rain evaporation has the strongest influence on:

u Expansion rate u Depth u Strength

u

Theorized this is because rain evaporation is

  • ccurring within the cold

pool

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SLIDE 12

Cold Pool Sustainment

Mallinson and Lasher-Trapp, in review

u

Theorized this is because rain evaporation is

  • ccurring within the cold pool

u

Limiting latent cooling calculations to lower heights supports this

u

This has also helped reconcile differences seen in past studies

u Capping latent cooling calculations at 4 km

  • vs. entire domain depth
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SLIDE 13

Summary

I use Blue Waters to: Connect small-scale (precipitation) processes to larger-scale (thunderstorm) phenomena

u We achieve this by changing the initial precipitation processes

to look at how hydrometeors influence cold pools

u Rain processes determine cold pool formation u Graupel is the dominant hydrometeor sustaining the cold pool u Rain evaporation has the strongest influence on cold pool properties

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SLIDE 14

Implications for Larger-Scale Weather and Climate Models

u Consideration of the microphysics in deep convection is

necessary to accurately represent cold pools and their effects in parameterizations

u Cold pool onset could be parameterized using local CCN

values and cloud-base temperatures

u Large amounts of near-surface rainfall can help parameterize

cold pool properties

u Cold pool sustainment is governed by graupel

u Related to amount of IN (not well quantified) u Most schemes only allow for graupel OR hail

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SLIDE 15

Challenges & Solutions

u NCL routines running out of memory

u Run in subsections or with fewer variables

u Faster analysis with VisIt and NCL codes

u We trim the data files to remove most of the empty space around the

clouds/storms, for analysis and longer-term storage u Searching large domains for continuous surfaces meeting

certain criteria

u Cumbersome FORTRAN & NCL routines used u Development of MATLAB routine with help from Blue Waters team to

address memory issues ▶ Storage of data files while running analysis code

▶ Trimming files works to an extent but still trying to think of a

better solution

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SLIDE 16

Acknowledgements

u Blue Waters Project and Team, NCSA u Dr. George Bryan for use of the CM1 community model u Dr. Ted Mansell for use of the NSSL microphysics scheme u DOE (DE-SC0014101)