LASSO* Data bundles & CMDV-CM4 related data developmentsAndrew Vogelmann1, William Gustafson2, Bhargavi, Krishna3, Tami Toto1,Zhijin Li4,5, Xiaoping Cheng5, Satoshi Endo1, Jinwon Kim4, & Heng Xiao2

1BNL, 2PNNL, 3ORNL, 3UCLA, 4JPL, 5Nanjing U.

Breakout Session 1, Monday, 13 March 2017, 1:30-3:30 p.m. March 22, 2017 1

LASSOWebpage:https://www.arm.gov/capabilities/modeling

LASSOe-maillistsignup:http://eepurl.com/bCS8s5

*LESARMSymbioticSimulationandObservation

LASSO ARM/ASR PI Meeting presentations

March22,2017 2

n LASSOBreakoutSession (Potomac),Today4-6p.m.

n Posters presentationsTuesdayA1(3:30-5:00p.m.)▶ #168,Oue etal.ARSCLsimulator

▶ #171,Lietal.,Multiscale DataAssimilationForcingforLASSO

▶ #172,Krishnaetal.:LASSOBundleBrowserUsingNoSQL Technologies

▶ #173,Gustafsonetal.,LASSOOverview

▶ #174,Vogelmann etal.,LASSODataBundles

LASSO at a glance

March22,2017 3

n GoalistouseroutineLES– constrainedandevaluatedbyARMobservations– tohelpbridgethemodel-observationgap▶ Intendedtobuildalibraryofsimulationsw/observationsforresearch

n Itisa2-yearpilotprojectduetotransitiontooperationsthisyear▶ FocusedinitiallyonshallowconvectionattheSGP

▶ TobeappliedtootherphenomenaandARMsites

n A“databundle”isapackageofobservationsandsimulations(aka,a“datastructure”)aimedatprovidingthebestdescriptionoftheatmosphere

What’s in a data bundle?

March22,2017 4

n Casedescriptors▶ Cloudtype,weatherstate,inversionstrength,etc.

n Modelevaluationmetrics▶Model-observationdiagnostics

▶Modelskillscores

n Modelinputandoutputfields▶ 3-Dmodelfields,profilestatistics,andmodel-basedbudgetterms

▶ Forcingsandinitialconditions

The LASSO Bundle Browser

March22,2017 5

n Enablesinteractivequeriestofindthecasesofinteresthttp://www.archive.arm.gov/lassobrowser

What observations are used?

March22,2017 6

n LASSO’sfocusisondevelopingtheworkflowsomustfocusonrobust,shovel-ready(ornearlyso)dataproducts▶ Alpha1:Focusedoncentralfacilitycloudandenvironmentalobservations▶ Alpha2:Extendsfocustosurroundingfacilitiestocaptureregionalvariability

n ClimateModelDevelopmentandValidation(CMDV)Project:CouplingMechanisticallytheConvectiveMotionsandCloudMacrophysicsinaClimateModel(CM4)[CMDV-CM4:PIDavidRomps]▶ Goal:DramaticallyimprovetherepresentationofshallowcloudsintheDOE’s

ACMEmodelbytakingadvantageofthenewestARMobservations,thelatestdevelopmentsincloudmodeling,theoryandparameterization,andstate-of-the-arttechniquesfordiagnosisandvalidation.

▶ Appropriateresearch-levelproductsdevelopedwillbeadoptedintotheLASSOworkflow