modernization of laps from laps to vlaps fab data assimilation thrust area

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Modernization of LAPS From LAPS to VLAPS FAB Data Assimilation Thrust Area

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Page 1: Modernization of LAPS From LAPS to VLAPS FAB Data Assimilation Thrust Area

Modernization of LAPSFrom LAPS to VLAPS

FAB Data Assimilation Thrust Area

Page 2: Modernization of LAPS From LAPS to VLAPS FAB Data Assimilation Thrust Area

Main Features of LAPS

• Multiscale analysis;• Hotstart with pioneer work in cloud analysis;• Efficient for high resolution and frequent

analysis cycles;• Portability;• Ingests a wide range of observational data, in-

situ and remotely sensed;• Interface with various forecast models.

Page 3: Modernization of LAPS From LAPS to VLAPS FAB Data Assimilation Thrust Area

Modernization of LAPS: VLAPS• A multigrid variational analysis framework, ideal for truly hybrid,

multiscale DA;• Improvement of LAPS hot-start, e.g. T, q, w;• Better balanced analysis, gradually adding constraints and moving

toward a multigrid 4DVAR;• Better use of remotely sensed data such as radar and satellite

data with CRTM;• The most efficient variational analysis (18 times faster than GSI);• Ease of use and portability inherited from LAPS;• Contribution to NOAA DA, modernization GSI and/or LAPS under

DTC;• Joint LAPS user group: NOAA, NWS, FAA, private sectors.

Page 4: Modernization of LAPS From LAPS to VLAPS FAB Data Assimilation Thrust Area

Applications

• FAA nowcasting through MIT (surface only at 2.5km);

• HWT EWP 2013 (surface at 2.5km and full 3D at 1km) ;

• HMT;• AWIPS;• CWB;• Gov’t, Private Sector, Academia, International• 150+ users of LAPS world wide.

Page 5: Modernization of LAPS From LAPS to VLAPS FAB Data Assimilation Thrust Area

HWT 1km V-LAPS0-3 h Composite Reflectivity Verification

Higher ETS (best at short lead time)Compare WRF initialization schemes, work with DTC?

Var. LAPS Initialization

Page 6: Modernization of LAPS From LAPS to VLAPS FAB Data Assimilation Thrust Area

HWT Forecasters’ Input (real time EWP Blog)

LAPS again. Higher CAPE, bow echo. Lower CAPE, bye bye bow echo.Posted on May 14, 2013“In my opinion, the LAPS surface-based CAPE product was one of the stars of the day. Consistently, storms lived and died based on entering and exiting the tongue of higher CAPE values which extended north and northeast from the Big Bend area for most of the day. This first image shows the LAPS surface-based CAPE at 00Z, and the radar at the same time. Shouldn’t be hard to pick out the storm of interest. Note that the storm is still in the tongue of 1000+ J/kg of CAPE as noted on LAPS.

One hour later, the storm is exiting and entering a less favorable instability regime. And predictably, it starts to weaken

Any questions? LAPS nailed it.”CL

SBCAPE 3h Fcst + Radar Obs SBCAPE 4h Fcst + Radar Obs

Page 7: Modernization of LAPS From LAPS to VLAPS FAB Data Assimilation Thrust Area

Moore Tornado Related Blog Entries LAPS Observations and Determining Future Storm Development…Posted on May 20, 2013 “Just a quick post about observations of the LAPS theta-e field this afternoon. It was interesting to see the near stationary aspect of the theta-e boundary in assoc/w the dryline to our south across portions of north Texas this afternoon. This suggests that continued development is possible late this afternoon especially across northern Texas, where the gradients have been sustained and have even increased lately. However, notice that the gradients have decreased generally across much of Oklahoma where convection and related effects (rain cooled air, cloud shield) have helped to stabilize the environment. The 15-minute temporal resolution of the product can be very useful for diagnosing locations of continued convection especially in rapidly developing convective situations.”

2115UTC 2130UTC

2145UTC 2200UTC

LAPS analysis. Shaded values are sfc theta-e (K), while wind vectors are in blue.

LAPS niche: Good handle on existing convection and lead time on CI

Page 8: Modernization of LAPS From LAPS to VLAPS FAB Data Assimilation Thrust Area

LAPS System Overview

Data Ingest

Intermediatedata files

GSI

FORECAST MODEL (e.g. WRF)

Verification

Analysis Scheme

Downscaling can work as a stand alone module

from background → GSI or other

applications such as Fire wx.

Downscaling is also an integral part of variational LAPS

(aka. STMAS).

Data Background (or cycled forecast)Observations

Standalone downscaling

module

Traditional LAPS

Variational LAPS (with downscaling)

Model prep

Page 9: Modernization of LAPS From LAPS to VLAPS FAB Data Assimilation Thrust Area

LAPS MotivationHigh Resolution (500m – 20km), rapid update (10-60min), local to global

Highly portable system Collaboration with user community - about 150 world wide

Federal Gov’t – NWS, RSA, PADS, FAA, DHS, SOS State Gov’t – California Dept of Water Resoures International – Finnish Met. Inst., China Heavy Rain Inst. Private Sector – Toyota, WDT

Wide variety of data sources:

OAR/ESRL/GSD/Forecast Applications Branch *

Page 10: Modernization of LAPS From LAPS to VLAPS FAB Data Assimilation Thrust Area

Transition from Traditional to Fully Variational LAPS

state vars, wind (u,v) clouds / precip

balance and constraintsin multi-scale variational

analysis

Windanalysis

Temp/Ht analysis

Humidity analysis

Cloud analysis

balance

Traditional LAPS analysis: Wind, Temp, Humidity, Cloud, Balance

Ultimately

Temporary hybrid system: Traditional LAPS cloud analysis and balance

NumericalForecast

model

Large Scale Model First Guess

Cycling Option

Var.LAPS

Page 11: Modernization of LAPS From LAPS to VLAPS FAB Data Assimilation Thrust Area

Cloud Analysis Flow Chart

Cloud Fraction 3-D Isosurface

*

(From radars and model first guess)

Page 12: Modernization of LAPS From LAPS to VLAPS FAB Data Assimilation Thrust Area

Future Work

• Collaboration on lightning DA (NSSL, Vaisala, NASA etc.)

• Satellite sounder DA (CMISS, NESDIS)• Terrain following VLAPS;• Variational cloud analysis inside VLAPS;• Scale dependent ensemble error covariance in

multigrid framework (TRULY hybrid);• Dynamic and thermal dynamic balances and moving

toward multigrid 4DVAR;• Improvement of use of CRTM;