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Fog/Low Clouds:  Formation and Dissipation Fog/Low Clouds:  Formation and Dissipation

Fog/Low Clouds: Formation and Dissipation - PowerPoint Presentation

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Fog/Low Clouds: Formation and Dissipation - PPT Presentation

Scott Lindstrom University of WisconsinMadison CIMSS Cooperative Institute for Meteorological Satellite Studies Learning Objectives Subject Matter Experts What bands on ABI can detect foglow cloud formation and dissipation ID: 585180

fls cloud probability ifr cloud fls ifr probability model btd products fog information nighttime product surface flight clouds thickness

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Slide1

Fog/Low Clouds: Formation and Dissipation

Scott

Lindstrom

University of Wisconsin-Madison CIMSS

(Cooperative Institute for Meteorological Satellite Studies

)Slide2

Learning Objectives

Subject Matter Experts

What bands on ABI can detect fog/low cloud formation and dissipationWhat GOES-R Products can detect fog/low cloud formation and dissipation

Michael PavolonisCorey Calvert

In this training, the acronym FLS means Fog/Low Stratus

BTD means Brightness Temperature DifferenceSlide3

Why create Probabilities of Flight Rules?

VFR - Visual flight rules

ceiling > 3000

ft and

vis

> 5 mi

MVFR - Marginal visual flight rules

1000

ft < ceiling < 3000 ft or 3 mi < vis < 5 miIFR - Instrument flight rules500 ft < ceiling < 1000 ft or 1 mi < vis < 3 miLIFR - Low instrument flight rulesceiling < 500 ft or vis < 1 mi

There

is no widely

accepted

definition of

Fog/Low

S

tratus (FLS) so

the GOES-R definition of FLS

relies on aviation flight

rules

The primary goal of the GOES-R fog/low cloud detection algorithm is to identify IFR, or lower, conditions.Slide4

Traditional GOES-East 11 – 3.9 μm BTD

FLS or Elevated

S

tratus?

BUT! It is difficult to differentiate between FLS or nonhazardous elevated stratus

clouds using the BTD product alone

This BTD product has been traditionally used in the past to detect nighttime FLS

(yellow/orange representing FLS)Slide5

Band differences can be related to surface- (or cloud-) based

emissivity differences or to sub-pixel effects

Regardless of cause, the differences can be exploitedSlide6

What can give information of low-level saturation below a cloud deck?

Surface Observations

Not always available

Not always representative

Clumsy to decodeModel Output

Provides information on low-level saturationIs the spatial resolution sufficient?

Is the model simulation correct?Slide7

Fused Fog/Low Cloud Detection Approach

Satellite Data

Statistical Model

Clear Sky

RTM

-Minimum channels needed: 0.65, 3.9, 6.7/7.3, 11, and 12/13.3

μm

-Previous image for temporal continuity (GEO only)

-Cloud PhaseIFR

and LIFR Probability

+

+

Static Ancillary Data

-DEM

-Surface Type

-Surface Emissivity

Daily SST Data

0.25 degree OISST

+

NWP

-Surface Temperature

-Profiles of T and

q

-RUC/RAP (2-3 hr forecast) or GFS (12 hr forecast)

NWP RH Profiles

-RUC/RAP (2-3 hr forecast) or GFS (12 hr forecast)

Other sources of relevant data (e.g.

sfc

obs

) influence results through the model fields

Total run time: 2 - 3 minutesSlide8

GOES-R Fields

MVFR Probability

LIFR Probability

Cloud Thickness

I

FR ProbabilitySlide9

The GOES-R FLS products were developed to improve upon the traditional FLS products.

The GOES-R products work day and night and provide information even when multiple cloud layers are present.Slide10

Fog Dissipation as a function of Cloud ThicknessSlide11

Cloud Thickness and Dissipation

1115 UTC GOES-R Cloud Thickness

Source

1415 UTC GOES-13 VisibleSlide12

Keep in mind…. (Model Domains)

Model used to predict location of FLS varies and there are inter-model seams

GOES-R FLS products can significantly change between neighboring pixels at model seams.

AK

Grid

(~11 km)

CONUS Grid

(~13 km)

Regional Grid

(~32 km)

GFSSlide13

Near the Equinoxes, around 3 - 7 UTC, 3.9

μm

stray light will greatly affect GOES BTD products

That effect can leak into the GOES-R FLS products – but it is mitigated in IFR Probability Products if the Rapid Refresh shows little saturation.

0415 UTC

0430 UTC

0445 UTC

Keep in mind…. (Stray Light)Slide14

GOES-R IFR Probabilities

GOES-R Cloud Thickness

Keep in mind…. (Day/Night)

Twilight Conditions:

Cloud Thickness not

computed

Still nighttime over here

Daytime Predictors

usedNighttime PredictorsusedNot shown on this slide: the Brightness Temperature Difference changes sign at sunrise as 3.9 μm radiation reflects/scatters off clouds. Changes in IFR Probability are more subtle than Brightness Temperature Difference changesSlide15

Precise information on dissipation: One-minute dataSlide16

GOES-R FLS Validation Over CONUS

The FLS products were validated using surface observations of ceiling and visibility

The plot below shows the Critical Success Index (CSI) of the daytime/nighttime GOES-R IFR probabilities along with the nighttime BTD product as a function of the threshold used to differentiate between FLS and non-FLS clouds

The maximum CSI

for the nighttime BTD product was calculated at

0.254

The maximum CSI for the daytime/nighttime IFR probabilities were calculated at 0.453/0.438 respectively, nearly double that of the traditional BTD product

The maximum CSI occurs when the IFR probability is ~25% (physical basis for our

colorbar

)Slide17

Summary

BTD

provides little information about

cloud ceilingslow clouds in regions of multiple cloud layersThe GOES-R IFR Probability fuses

satellite data with model information about low-level saturationSupplies information about cloud ceilingsFills in information in regions where multiple clouds layers exist

IFR Probability is a statistically superior product.Slide18

Internet Resources

Blog on IFR Probability fields

GOES-based fields available online

PowerPoint Presentation (from 2013) on IFR Probability