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Thermodynamic Profiling in the Boundary Layer from the AERI Thermodynamic Profiling in the Boundary Layer from the AERI

Thermodynamic Profiling in the Boundary Layer from the AERI - PowerPoint Presentation

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Thermodynamic Profiling in the Boundary Layer from the AERI - PPT Presentation

Dave Turner NOAA PECAN Science Workshop Norman Oklahoma 1921 September 2016 Background PECAN integrated sounding array PISA stations were unique component of the PECAN field experiment Desire to have thermodynamic and wind profiling remote sensors at each PISA site for high temporal r ID: 562187

ellis aerioe data fp3 aerioe ellis fp3 data fp6 mp1 fp4 fp2 mp3 fp5 brewster sparc minden sonde greensburg

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Slide1

Thermodynamic Profiling in the Boundary Layer from the AERIs at the PISA Sites

Dave Turner

NOAA

PECAN Science Workshop

Norman, Oklahoma

19-21 September 2016Slide2

Background

PECAN integrated sounding array (PISA) stations were unique component of the PECAN field experiment

Desire to have thermodynamic and wind profiling remote sensors at each PISA site for high temporal resolution observationsAlso launched radiosondes at these sites at periodically during IOPsVarious universities and EOL contributed to each PISA

My objective was to have consistent profiling capability at each site, if possibleDOE’s ARM program provided AERI instruments at each PISA for thermodynamic profiling Ultimately, all 6 FPs and 2 (of 4) MPs had AERIs in themSlide3

Atmospheric Emitted Radiance Interferometer (AERI)

Measures downwelling IR spectra at high temporal and spectral resolution

(30 s, 1 cm-1)Invented by

Univ Wisconsin – MadisonHardened, automated instrument; self-calibratingCommercially available

25

µm

7.1

µm

10

µm

15

µm

Radiance [

mW

/ (m

2

sr

cm

-1)]

Wavelength [µm]

SGP, 8 Jul 2003PWV: 48.0 mm

NSA, 1 Mar 2004PWV: 1.3 mmSlide4

FP Locations

FP4: Minden

FP5: Brewster

FP3: Ellis

FP6: Hesston

FP2: Greensburg

FP1: ARM SGP SiteSlide5

MP3: SPARC

Univ

Wisc – Madison

AERI, DL, HSRL, tower, sonde

MP1: CLAMPS

OU / NSSL

AERI

, DL, MWR, tower,

sondesSlide6

AERIoe Data Availability per Day

FP2: Greensburg

FP3: Ellis

MP3: SPARC

MP1: CLAMPS (2-min)

FP6: Hesston

FP5: Brewster

FP4: MindenSlide7

AERIoe Data Availability per Day

FP2: Greensburg

FP3: Ellis

MP3: SPARC

MP1: CLAMPS (2-min)

FP6: Hesston

FP5: Brewster

FP4: MindenSlide8

AERIoe Data Availability per Day

FP2: Greensburg

FP3: Ellis

MP3: SPARC

MP1: CLAMPS (2-min)

FP6: Hesston

FP5: Brewster

FP4: MindenSlide9

AERIoe Data Availability per Day

FP2: Greensburg

FP3: Ellis

MP3: SPARC

MP1: CLAMPS (2-min)

FP6: Hesston

FP5: Brewster

FP4: MindenSlide10

AERIoe Data Availability per Day

FP2: Greensburg

FP3: Ellis

MP3: SPARC

MP1: CLAMPS (2-min)

FP6: Hesston

FP5: Brewster

FP4: Minden

Abnormal oscillation found in FP1 System – still working to resolve thisSlide11

Two Versions

of the Retrieval AlgorithmNeed to retrieve thermodynamic profiles from the AERI-observed infrared radiance

Ill-posed problem (e.g., multiple solutions can yield obs)Original version in EOL archive: Release 1.5Noted some cases when retrieved profiles were

aphysicalDecided to use additional observations to better constrain solutionNew version in EOL archive: Release 2.2Algorithm improvementsUses surface humidity measurement and RAP model “observation”; the latter constrains the middle-and-upper troposphere

Full error characterization for each retrieved profile in output file!Slide12

AERIoe Retrieval vs. Sonde

Sonde

AERIoe

v2.2AERIoe v1.5Slide13

AERIoe Retrieval vs. Sonde

Sonde

AERIoe

v2.2AERIoe v1.5Slide14

AERIoe Example from EllisSlide15

AERIoe Example from EllisSlide16

Comparison with SondesSlide17

Examples vs. Sondes

Sonde

AERIoe

v1.5

AERIoe v2.2Slide18

Summary

AERIs were deployed at all FPs and 2 MPsAERIoe retrievals performed at each site

Retrievals for FP2, FP3, FP4, FP5, FP6, MP1, and MP3 in EOL data archiveInstrument issues still need to be resolved at ARM SGP (FP1)Two versions of algorithm; please use Release 2.2Temporal resolution in archive is 5 min for most sites

Can reprocess to have maximum temporal resolution of 30-s, if desired (useful for rapidly changing events like bores)If you use AERIoe retrievals from FPs, please credit DOE!If any questions about these data (accuracy, resolution, uncertainties,

etc) please contact me.